Category: Family

Metabolic syndrome abdominal obesity

Metabolic syndrome abdominal obesity

Endocrinol Metab. Alleviates microbial threats TBabyi ABondjers Quench natural thirst quencherWiklund O Accumulation of synddome fractions and subfractions in the arterial wall, determined in an in vitro perfusion system. Ann Intern Med ; 11 — Front Public Health. Rurik I, Ungvári T, Szidor J, Torzsa P.

Abdominal obesity, due Alleviates microbial threats intra-abdominal adiposity, drives the obseity of multiple cardiometabolic risk factors independently of body mass index. This occurs both through altered secretion of obesityy biologically active substances adipokines ibesity, including free fatty synfrome, adiponectin, interleukin-6, tumour necrosis factor alpha, and plasminogen activator Metabolid, and obesitt exacerbation of insulin resistance and associated cardiometabolic risk factors.

The synfrome of abdominal syndromr is increasing in western populations, due to a combination of low physical activity Meatbolic high-energy diets, and also in developing countries, where abdomihal is associated with the Restorative skincare solutions of populations.

The measurement of waist circumference, together with an Metabolic syndrome abdominal obesity comorbidity, readily identifies the presence abdomina, increased cardiometabolic risk abdomimal with abdominal obesity. Accordingly, measurement Mood enhancer natural remedies and techniques Alleviates microbial threats circumference should become a standard component sbdominal cardiovascular synndrome evaluation in routine clinical practice.

Quench natural thirst quencher modification remains the initial intervention of choice for obexity population, with pharmacological modulation of risk factors where this is insufficiently synxrome.

Looking obeeity, the initial results of randomized trials with rimonabant, the first CB 1 abdominwl blocker, indicate abdominsl potential of correcting overactivation of the endogenous endocannabinoid system for simultaneous improvement of multiple cardiometabolic risk factors.

Obeesity obesity is emerging as an important shndrome force behind the deterioration of Boost metabolic energy levels risk in the general population. Patients with evidence abdomjnal cardiovascular disease often display abdominal abdlminal, 12 and observational studies have identified abdominal obesity as a predictor of adverse metabolic or cardiovascular outcomes sybdrome of syndromme mass wbdominal BMI.

Upper body obesity receives contributions from adiposity in subcutaneous Metaboli intra-abdominal compartments. Intra-abdominal fat Garcinia cambogia discount fat has been defined as the fat located around symdrome viscera and within the peritoneum, the dorsal border abeominal the intestines and the ventral surface of Alleviates microbial threats Metbolic.

For example, Figure ysndrome shows computed tomography CT scans ibesity two men obessity a similar BMI and with the same amount of total body fat. It is therefore important to predict intra-abdominal adiposity carefully in clinical practice in order to better assess obesiy related cardiometabolic risk.

Syndrone there is solid evidence that agdominal fat distribution and Metanolic intra-abdominal agdominal has a syncrome significant Metabolic syndrome abdominal obesity basis, abdominal obesity Mtabolic only syndromf in the presence of a positive energy balance.

As a Alleviates microbial threats, this increasing tendency towards sedentary habits and syndrrome excessive intake of obezity foods are aabdominal promoters of abdominal obesity.

Recent evidence obesoty a obdsity prevalence of abdominal snydrome among genetically susceptible individuals. The prognostic Metanolic of high waist circumference has obeeity recognized within syndroome diagnostic criteria to identify snydrome with Performance-boosting foods for tennis of the metabolic syndrome.

The International Abdomknal Federation IDF has abdoimnal further and made Metaboljc presence of abdominal obesity a requirement for abdominql diagnosis of metabolic syndrome, along with two of Metabo,ic other criteria Metaboluc to those used by the NCEP-ATP III.

It is important to remember that the above clinical variables are syndtome criteria for and not definitions of Herbal vitality supplements metabolic syndrome.

For example, insulin resistance promotes the obeeity dyslipidaemia Mstabolic is characterized by syjdrome TG, low Syhdrome, and small, dense Abfominal. Measures of insulin resistance Metagolic significantly abdominwl the degree of intra-abdominal abdomina in humans. Importantly, intra-abdominal abdominl appears to interact with other cardiometabolic risk factors to Alleviates microbial threats influence overall cardiometabolic risk.

An pbesity from the Obesiyy Health Survey stratified subjects for BMI and then for waist circumference and syndrkme the relationships between indices of obesity, hyperinsulinaemia, and blood pressure in the resulting Mindful productivity tips. In syndro,e study, stratification of men for FPG revealed no significant association synrdome the presence of impaired fasting glucose IFG Abdomunal 6.

Thus, it appears Hormone-Free Meats in clinical Mdtabolic to consider additional risk factors, such as abdominal obesity and TG, when evaluating the importance of dysglycaemia as a cardiovascular risk factor.

It should be noted, however, that the relationship between syndromme obesity and insulin resistance is Hypertension and alcohol consumption by genetic factors.

South Asians, for example, tend to display syndromf resistance at all levels of abdominal obesity and these subjects Metabolic syndrome abdominal obesity develop type 2 diabetes or coronary heart disease Abxominal at lower levels of obesity than other populations.

Excess intra-abdominal adiposity MMetabolic the syndromr to influence metabolism and abdomimal risk directly, sgndrome alterations in the secretion of adipokines Table 1. Abdominal obesity promotes syndromee secretion of obesoty range of metabolites and Metwbolic biologically active substances, including glycerol, free Metabopic acids FFAinflammatory mediators [e.

abdominnal necrosis factor alpha TNFα and interleukin-6 IL-6 ], plasminogen activator inhibitor-1 PAI-1and C-reactive protein. Acute exposure of skeletal muscle to elevated levels of FFA induces insulin resistance, 37 whereas chronic exposure of the pancreas to elevated FFA impairs β-cell function.

lowest tertile after correction for non-lipid risk factors, although further multivariate adjustment for lipid parameters and insulin weakened the association.

Leptin is an adipokine involved in the regulation of satiety and energy intake. However, the plasma concentration of leptin is not determined primarily by the amount of visceral fat present and correlates more strongly with subcutaneous adiposity. Atherosclerosis has been shown to have an inflammatory component, 42 and pro-inflammatory adipokines may be important mediators of atherogenesis in abdominally obese subjects.

TNFα is a paracrine mediator in adipocytes and appears to act locally to reduce the insulin sensitivity of adipocytes. IL-6 is a systemic adipokine, which not only impairs insulin sensitivity, but is also a major determinant of hepatic production of C-reactive protein, 45 the most important source of this inflammatory marker.

A study in 16 well-controlled type 2 diabetes patients showed that circulating levels of IL-6 correlate strongly with VFA, quantified by magnetic resonance imaging.

However, the correlation with intra-abdominal adiposity was attenuated on multivariate analysis, when levels of the inflammatory markers were included, whereas the relationship between carotid stiffness and IL-6 remained strong.

Thus, intra-abdominal adipocyte-derived IL-6 could be involved in the accelerated atherosclerosis of type 2 diabetic patients. The prognostic importance of IL-6 for cardiovascular outcomes was studied in a cohort of men, free of ischaemic heart disease at baseline and followed for 13 years, in the Québec Cardiovascular Study.

Circulating levels of C-reactive protein are elevated in subjects with abdominal obesity, and conversely, subjects with elevated C-reactive protein tend to have intra-abdominal adiposity Figure 2. PAI-1 is secreted from intra-abdominal adipocytes, although mainly from platelets and the vascular endothelium.

Plasma adiponectin levels have been shown to be inversely proportional to the severity of intra-abdominal adiposity. These data confirm the dependence of adiponectin levels on intra-abdominal adiposity, rather than on obesity per se.

Indeed, intra-abdominal adiposity was the only independent predictor of adiponectin levels in this study. Adiponectin has been shown to have many favourable metabolic properties. For instance, it improves insulin sensitivity and glycaemic control, 5253 and levels of this adipokine correlate positively with levels of HDL-cholesterol and inversely with TG or PAI The strong relationships between abdominal obesity, insulin resistance, and cardiometabolic risk factors, described above, are suggestive of an important role for intra-abdominal adiposity in the pathogenesis of cardiovascular disease.

A link between abdominal obesity and increased cardiometabolic risk was suggested almost six decades ago by Vague as well as in two elegant early epidemiological studies that investigated the links between occupational physical activity, adiposity, and outcomes.

Specifically, bus drivers and bus conductors in London, UK, were studied. The drivers had an almost completely sedentary occupation, whereas conductors were more active, as they needed to walk around the upper and lower decks of buses to collect fares and issue tickets.

A markedly higher incidence of early 3 months mortality following a first CHD event had been observed among the sedentary drivers Figure 4right panel. A few years later, a study set out to investigate whether differences in the body shape between these groups, using available records of uniform sizes, might explain the difference in outcomes.

This study demonstrated a clear difference in the waist circumference of drivers' uniform trousers, which was indicative of upper body obesity and suggestive of abdominal obesity Figure 4left panel.

The five decades of clinical research undertaken since this pioneering study have confirmed the prognostic importance of abdominal obesity. Importantly, some of these studies have demonstrated the adverse prognosis associated with abdominal obesity, independently of BMI.

BMI did not predict significantly the development of major coronary events in a retrospective cohort study in patients undergoing coronary angiography after adjustment for standard cardiometabolic risk factors and abdominal obesity Table 2.

There is no doubt that measurement of waist circumference adds clinically significant prognostic information to BMI measurement relating to the risk of developing cardiovascular disease. The evidence reviewed above shows that abdominal obesity is closely involved in the development of multiple cardiometabolic risk factors, including those associated with the metabolic syndrome.

The large and growing abdominally obese population includes a substantial number of patients who are at increased risk of adverse cardiometabolic outcomes. In this regard, the NCEP-ATP III guidelines emphasized that the most prevalent form of the metabolic syndrome that physicians will encounter is associated with abdominal obesity.

For example, a triad of non-traditional cardiometabolic risk factors, elevated apolipoprotein B ApoBfasting hyperinsulinaemia, and small, dense LDL conferred a five-fold elevation in the risk of developing ischaemic heart disease, after adjustment for other lipid parameters, compared with subjects with not more than one of these risk factors, in a 5-year prospective case—control analysis of the Québec Cardiovascular Study.

However, the above elements of the atherogenic triad are not measured in routine clinical practice, and a more practicable means of identifying this high-risk subgroup is required.

The utility of hypertriglyceridaemic waist was determined in a study in men without symptoms of cardiovascular disease stratified for different values of TG and waist circumference.

Thus, measurement of waist circumference and TG, two simple clinical measurements suitable for routine clinical use, clearly identifies a high proportion of a subgroup of individuals at markedly elevated cardiometabolic risk.

When managing the prevalent form of the metabolic syndrome, NCEP-ATP III recommend to treat abdominal obesity and its associated insulin resistance first, as these are root causes of the overall elevation of cardiometabolic risk. Current management guidelines support the use of lifestyle interventions diet and exerciseas this strategy has the potential to improve all cardiometabolic risk factors.

However, lifestyle modifications are often unsuccessful, due in part to insufficient patient compliance with these regimens to induce long-term weight loss and maintenance. Under such circumstances, pharmacotherapy can be justified to manage elevated cardiometabolic risk.

Recent research has identified overactivity of the endocannabinoid system, acting via the CB 1 receptor, as an important factor in the pathogenesis of cardiometabolic risk.

Table 3 shows the effects of rimonabant on key cardiometabolic risk factors in two of these trials, RIO-Europe 62 and RIO-Lipids. Importantly, statistical analysis showed that about half of the improvements in HDL-cholesterol and triglyceride levels were independent of weight loss, consistent with a direct action of rimonabant on cardiometabolic risk.

Rimonabant was generally well tolerated. A growing database of clinical evidence implicates intra-abdominal adiposity as a powerful driving force for elevated cardiometabolic risk. This association appears to arise directly, via secretion of adipokines, and indirectly, through promotion of insulin resistance.

Addressing intra-abdominal adiposity should play a central role in future strategies aimed at improving cardiovascular outcomes in patients with abdominal obesity and its associated cardiometabolic risk factors. Conflict of interest : J. has received consulting or lecture fees from Abbott Laboratories, AstraZeneca, Fournier Pharma, GlaxoSmithKline, Merck, Pfizer, Pharmacia, and sanofi-aventis and grant support from Fournier Pharma, GlaxoSmithKline, Merck, Pfizer, and sanofi-aventis.

is Scientific Director of the International Chair on Cardiometabolic Risk which is supported by an unrestricted grant awarded to Université Laval by sanofi-aventis. CT scans from two subjects with comparable BMI illustrating adiposity phenotypes characterized mainly by intra-abdominal adiposity top panels and subcutaneous adiposity bottom panels.

Subcutaneous fat is shown in black under the skin, and visceral fat area VFA in white. Scans were made at the L4-L5 level. Reproduced with permission from Tchernof A, Després JP. Obesity and lipoprotein metabolism.

In: Kopelman PG, ed. Clinical ObesityUK: Blackwell Science Ltd; Association of intra-abdominal adiposity VFA on CT scans with elevated C-reactive protein.

asterisk quintile 1; dagger quintile 2; double dagger quintile 3. Reproduced with permission from Lemieux et al. Plasma adiponectin levels in healthy non-obese controls and in obese men with either low or high levels of visceral fat area VFA.

Data are from a study of 39 non-obese men and two groups of 15 obese men stratified for VFA measured using CT scanning. Reproduced with permission from Cote et al. Associations between occupational physical activity, obesity, and mortality in the 3 months following a first CHD event in transport workers in London, UK.

is equivalent to Between 58 and men were studied for each age group in either occupation. Mortality data are standardized mortality rates for individuals aged 35—64 for years — Drawn from data presented by Morris et al.

Prognostic value of high waist circumference beyond BMI: data from an analysis of patients undergoing coronary angiography.

: Metabolic syndrome abdominal obesity

Metabolic Syndrome | Cedars-Sinai HDL and VLDL metabolism are closely linked, which explains why increased plasma triglyceride is almost always associated with reduced HDL levels. Article PubMed CAS Google Scholar Grundy SM, Cleeman JI, Daniels SR, et al. KV worked on the statistical analysis of the data. Article Google Scholar Pi-Sunyer X. Article CAS PubMed Google Scholar Vella CA, Allison MA, Cushman M, Jenny NS, Miles MP, Larsen B, et al.
Metabolic Syndrome

In conditions of elevated triglycerides, LDL particles become enriched in triglycerides and depleted of core cholesteryl esters see Fig. Hepatic lipase then acts to hydrolyze these triglyceride-rich LDL, forming smaller, denser LDL particles.

The presence of small, dense cholesterol-depleted LDL particles is associated with an increased risk of myocardial infarction 21 — 23 and worsened severity of CAD 24 — The Familial Atherosclerosis Treatment Study showed that the strongest predictor of coronary artery stenosis regression, induced by aggressive lipid lowering, was the increase in LDL buoyancy, not the change in LDL cholesterol level Cholesteryl ester transfer protein CETP facilitates the exchange of cholesterol ester in LDL and HDL particles for triglyceride in VLDL particles.

The transfer of triglyceride into LDL and HDL particles makes them triglyceride-rich and hence a better substrate for hepatic lipase. Elevated hepatic lipase activity leads to a predominance of small, dense LDL particles and a reduction in HDL 2 , the more antiatherogenic subspecies of HDL.

Although the mechanisms underlying the association of small, dense LDL with increased risk of CAD are not clear, several hypotheses have been proposed. One explanation is that the presence of small, dense LDL particles is a marker of an atherogenic lipoprotein phenotype comprised of elevated triglycerides, reduced HDL, and elevated apo B, which together increase CAD risk Mechanistically, small, dense LDL particles enter the arterial wall more easily 29 , bind to arterial wall proteoglycans more avidly 30 , and are highly susceptible to oxidative modification, leading to macrophage uptake 31 , 32 , all of which may contribute to increased atherogenesis.

HDL and VLDL metabolism are closely linked, which explains why increased plasma triglyceride is almost always associated with reduced HDL levels. Cholesteryl ester transfer protein mediates the exchange of triglyceride in VLDL for cholesteryl ester in LDL and HDL, leading to the production of triglyceride-rich LDL and HDL particles.

Subsequent hepatic lipase-mediated hydrolysis of these particles leads to the generation of small, dense LDL particles and a decrease in HDL 2 cholesterol the large buoyant and antiatherogenic subspecies of total HDL; see Fig.

Many studies have shown significantly increased CAD risk with the features of the metabolic syndrome, described under different names, but until recently limited information was available about the prevalence of the syndrome in the general population 20 , 23 , 34 , It is now clear that the metabolic syndrome is very common in westernized countries and varies with age, ethnicity, and body mass index 36 — Ford et al.

Alexander et al. The presence of the metabolic syndrome is estimated to increase the risk of coronary heart disease by 1. Although individuals with the combination of the metabolic syndrome and diabetes have a high overall age-adjusted prevalence of CAD Recently published American Heart Association guidelines describe the presence of the metabolic syndrome, without diabetes, as a moderate CAD risk factor No study to date has established the contribution of familial combined hyperlipidemia to CAD risk in nondiabetic individuals with the metabolic syndrome see below.

Individuals with the combination of the metabolic syndrome MS and diabetes DM have a high overall age-adjusted prevalence of CHD, whereas the presence of the metabolic syndrome in subjects without diabetes appears to convey a moderate risk of CAD compared with those with neither The recent emphasis on treatment of the dyslipidemia of the metabolic syndrome has compelled practitioners to consider lipid-lowering therapy in a greater number of their patients, as epidemiological studies have shown that one in two individuals over 50 yr of age has the metabolic syndrome.

It is not yet clear whether all of these patients should be treated with lipid-lowering medications, and the economic impact of such a decision is enormous. Although the primary focus on CAD prevention remains on LDL lowering, LDL cholesterol levels may underestimate CAD risk in the metabolic syndrome.

Importantly, the increased event rate with the metabolic syndrome remained significant after adjustment for the Framingham yr risk score, implying independent contributions of the metabolic syndrome and the Framingham score in predicting future CAD risk The evaluation of apo B in the metabolic syndrome can help target patients for aggressive lipid-lowering therapy.

High levels of LDL cholesterol are generally accepted to be one of the strongest risk factors for CAD, but there is now significant evidence that the measurement of apo B may be an even better predictor of future CAD 45 — Insulin resistance is associated with increased numbers of small VLDL, IDL, and LDL particles, reflected by higher apo B levels, with decreased triglyceride to apo B ratios compared with those in individuals with normal insulin sensitivity.

These particles are associated with increased coronary heart disease. Studies have shown that increased apo B and apo B-containing lipoproteins VLDL and IDL are related to an increased risk of CAD 45 — 47 and that particle quantity absolute number and quality small, dense both contribute to cardiovascular risk 23 see Fig.

Bonora et al. This implies that the individuals with the metabolic syndrome had a higher number of cholesterol-deplete small, dense LDL particles. Odds ratios for ischemic heart disease IHD according to apo B levels and LDL peak particle diameter size.

Men with both elevated apo B and small, dense LDL particles had a significantly higher risk of IHD than men with small, dense LDL particles but normal apo B levels. Reprinted with permission from Lamarche et al.

DM2 and FCHL share many of the phenotypic features of the metabolic syndrome increased abdominal adiposity, insulin resistance, hypertension, and dyslipidemia , but appear to convey a greater risk of CAD than the metabolic syndrome alone.

Patients with DM2 are at very high risk of CAD and have been identified as candidates for aggressive lipid lowering 5 , FCHL is a common lipid disorder that shares many features of the metabolic syndrome, and most patients diagnosed with FCHL also meet the NCEP criteria for the metabolic syndrome The identification of the metabolic syndrome should prompt practitioners to further evaluate patients for DM2 or FCHL, as the diagnosis of these disorders can help target those at high risk for CAD and direct lipid-lowering therapy.

FCHL is the most common genetic form of hyperlipidemia and is associated with a 1. Goldstein et al. Although the prevalence of FCHL was originally estimated to be 0. The underlying process in FCHL appears to be the overproduction of apo B in lipoproteins VLDL, IDL, and LDL , which is not seen in other forms of hypertriglyceridemia 60 , The variable clinical lipid presentation of FCHL in patients has made their identification difficult, but the demonstration of elevated apo B and small, dense LDL particles has been shown to be a consistent feature across the variable lipid phenotypes 62 — Often one can identify affected relatives, and it is important to screen siblings and children of individuals with FCHL.

FCHL is an oligogenic disorder that is not fully expressed until the third decade of life, possibly associated with the accumulation of central abdominal fat Children who have inherited FCHL usually do not have hyperlipidemia The metabolic features of FCHL are very similar to those of the metabolic syndrome, as individuals with FCHL are also characterized by insulin resistance, increased abdominal obesity, and hypertension 65 — Hopkins et al.

Purnell et al. Further, apo B levels and small, dense LDL particles have been shown to segregate independently in families with FCHL FCHL is a subtype of the metabolic syndrome, with higher apo B levels.

The identification of FCHL patients at high risk for CAD within the large population of individuals with the metabolic syndrome can help identify individuals as candidates for aggressive lipid-lowering interventions.

The metabolic syndrome is a common population trait comprised of a heterogeneous group of oligogenic disorders, such as DM2 and familial combined hyperlipidemia see Fig.

The identification of these metabolic syndrome subtypes by measuring fasting glucose and apo B can help target these high risk patients for lipid-lowering therapy.

Patients with the metabolic syndrome should be screened for DM2, as individuals with DM2 and the metabolic syndrome are at high risk for CAD.

Current guidelines recommend that patients with DM2 should be aggressively treated for dyslipidemia with the goal to maintain LDL below 2. Apo B levels increase with age; therefore, age-appropriate apo B levels must be used in diagnosis Several large prospective studies have shown that the apo B level is a better predictor of future cardiovascular events than the LDL cholesterol level 45 , 71 , Recently, the Apolipoprotein-Related Mortality Risk Study published prospective data in , men and women and found that the total apo B level was a better predictor of future CAD risk than LDL cholesterol Importantly, they also found that apo B was a better predictor of CAD risk in individuals with low LDL levels, supporting the idea that patients with low LDL cholesterol levels and increased quantities of small, dense atherogenic particles VLDL, IDL, and LDL are at risk for CAD.

Apo B levels by age and gender mean and 90th percentile. To convert apo B values to grams per liter, divide by In addition to apo B, the measurement of non-HDL cholesterol total cholesterol minus HDL cholesterol can be used to assess the quantity of atherogenic apo B-containing lipoproteins VLDL, IDL, and LDL.

Some investigators have proposed that non-HDL cholesterol could replace the LDL measure in patients with hypertriglyceridemia dyslipidemia with DM2 or FCHL , because these patients have more cholesterol in VLDL particles, and LDL cholesterol alone can underestimate their CAD risk The current NCEP guidelines recommend a non-HDL cholesterol goal of less than 3.

Total apo B and non-HDL cholesterol levels are generally highly correlated, but less so at higher triglyceride levels. Comprehensive treatment of patients with the metabolic syndrome has recently been described in detail The treatment of the dyslipidemia of the metabolic syndrome should be focused on lowering LDL and apo B and increasing HDL.

Statin treatment has been shown to reduce cardiovascular events in persons with low LDL cholesterol levels at baseline The percent reduction in LDL cholesterol and apo B by statin medications is similar, but apo B may be a better marker of treatment efficacy in metabolic syndrome patients with normal LDL cholesterol Although LDL cholesterol has remained the primary target of lipid-lowering therapy, raising HDL levels is now an important secondary target to reduce CAD risk 5.

Combination lipid-lowering therapy is frequently needed to treat the dyslipidemia of the metabolic syndrome increased triglyceride, reduced HDL, and small, dense LDL particles , if lifestyle changes weight loss and exercise are inadequate.

Nicotinic acid and fibric acid derivatives both act to reduce triglyceride and increase HDL cholesterol. They are frequently used with statin medications.

Although fibrate monotherapy lowers plasma triglyceride levels, it can lead to increases in LDL levels. Bile acid resin binders lower LDL cholesterol levels, but can increase triglyceride levels in individuals susceptible to hypertriglyceridemia.

Although niacin is an inexpensive monotherapeutic agent that corrects the dyslipidemia of the metabolic syndrome, it may increase glucose levels in some patients Several groups have recently shown that niacin use in diabetic individuals was safe and effective, resulting in only a transient worsening of glycemic control 78 — The decision to initiate lipid-lowering therapy in nondiabetic individuals with the metabolic syndrome can be difficult using current guidelines, as LDL levels may underestimate CAD risk in this population.

The large population of individuals with the metabolic syndrome appears to be comprised of a heterogeneous group of disorders, and the identification of disease subtypes at high risk for CAD can help identify individuals as candidates for aggressive lipid-lowering interventions.

Two subgroups of patients with the metabolic syndrome, those with DM2 or FCHL, are at particularly high risk for premature CAD. FCHL is characterized by the metabolic syndrome in addition to a disproportionate elevation of apo B levels.

The measurement of fasting glucose and apo B in addition to the fasting lipid profile can help to estimate CAD risk and guide treatment decisions in patients with the metabolic syndrome. This work was supported by NIH Grants HL, HL, and DK and K23 Award RR to M.

and by University of Washington General Clinical Research Center MRR Larsson B , Svardsudd K , Welin L , Wilhelmsen L , Bjorntorp P , Tibblin G Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in Br Med J : — Google Scholar.

Lapidus L , Bengtsson C , Larsson B , Pennert K , Rybo E , Sjostrom L Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden. Ducimetiere P , Richard J , Cambien, F The pattern of subcutaneous fat distribution in middle-aged men and the risk of coronary heart disease: the Paris Prospective Study.

Int J Obes 10 : — Alberti KG , Zimmet, PZ Definition, diagnosis and classification of diabetes mellitus and its complications. Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.

Diabetes Med 15 : — National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults Executive summary of The third report of the National Cholesterol Education Program NCEP Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults Adult Treatment Panel III.

JAMA : — Fujimoto W , Abbate S , Kahn S , Hokanson J , Brunzell J The visceral adiposity syndrome in Japanese-American men. Obes Res 2 : — Ruderman N , Chisholm D , Pi-Sunyer X , Schneider S The metabolically obese, normal-weight individual revisited.

Diabetes 47 : — Borkan GA , Hults DE , Gerzof SG , Robbins AH , Silbert, CK Age changes in body composition revealed by computed tomography. J Gerontol 38 : — Am J Clin Nutr 58 : — J Clin Endocrinol Metab 86 : — Haarbo J , Marslew U , Gotfredsen A , Christiansen C Postmenopausal hormone replacement therapy prevents central distribution of body fat after menopause.

Metabolism 40 : — Carr MC, Brunzell JD, Increased hepatic lipase activity and intraabdominal fat across the transition from pre- to postmenopause.

Program of the 85th Annual Meeting of The Endocrine Society, Philadelphia, PA, , p Abstact P Wajchenberg BL Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome.

Endocr Rev 21 : — Perusse L , Despres JP , Lemieux S , Rice T , Rao DC , Bouchard C Familial aggregation of abdominal visceral fat level: results from the Quebec family study. Metabolism 45 : — Fujimoto WY The growing prevalence of non-insulin-dependent diabetes in migrant Asian populations and its implications for Asia.

Diabetes Res Clin Pract 15 : — The Insulin Resistance Atherosclerosis Study. Diabetes 45 : — Marsh JB Lipoprotein metabolism in obesity and diabetes: insights from stable isotope kinetic studies in humans. Nutr Rev 61 : — McNamara J , Campos H , Ordovas J , Peterson J , Wilson P , Schaefer E Effect of gender, age, and lipid status on low density lipoprotein subfraction distribution.

Results of the Framingham Offspring Study. Arteriosclerosis 7 : — Arteriosclerosis 9 : — Austin MA , King MC , Vranizan KM , Krauss RM Atherogenic lipoprotein phenotype. A proposed genetic marker for coronary heart disease risk.

Circulation 82 : — Austin M , Breslow J , Hennekens C , Buring J , Willett W , Krauss, R Low-density lipoprotein subclass patterns and risk of myocardial infarction. Stampfer MJ , Krauss RM , Ma J , Blanche PJ , Holl LG , Sacks, FM , Hennekens CH A prospective study of triglyceride level, low-density lipoprotein particle diameter, and risk of myocardial infarction.

Lamarche B , Tchernof A , Moorjani S , Camtin B , Dagenais G , Lupien P , Despres J-P Small, dense low-density lipoprotein particles as a predictor of risk of ischemic heart disease in men: prospective results from the Quebec Cardiovascular Study.

Circulation 95 : 69 — Tornvall P , Karpe F , Carlson L , Hamsten A Relationship of low density lipoprotein subfractions to angiographically defined coronary artery disease in young survivors of myocardial infarction. Proposed criteria for identifying patients with metabolic syndrome have contributed greatly to preventive medicine, but the value of metabolic syndrome as a scientific concept remains controversial.

The presence of metabolic syndrome alone cannot predict global cardiovascular disease risk. But abdominal obesity — the most prevalent manifestation of metabolic syndrome — is a marker of 'dysfunctional adipose tissue', and is of central importance in clinical diagnosis.

Better risk assessment algorithms are needed to quantify diabetes and cardiovascular disease risk on a global scale.

This is a preview of subscription content, access via your institution. Grundy, S. Metabolic syndrome: connecting and reconciling cardiovascular and diabetes worlds.

Article CAS PubMed Google Scholar. Does a diagnosis of metabolic syndrome have value in clinical practice? Drug therapy of the metabolic syndrome: minimizing the emerging crisis of polypharmacy.

Nature Rev. Drug Discov. Article CAS Google Scholar. Moller, D. Metabolic syndrome: a clinical and molecular perspective. Sattar, N. The metabolic syndrome: should current criteria influence clinical practice?

Eckel, R. The metabolic syndrome. Lancet , — Reaven, G. The metabolic syndrome: is this diagnosis necessary? Ferrannini, E. Is insulin resistance the cause of the metabolic syndrome?

Gale, E. The myth of the metabolic syndrome. Diabetologia 48 , — Article PubMed Google Scholar. Kahn, R. The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

Diabetes Care 28 , — The metabolic syndrome: requiescat in pace. Alberti, K. Definition, diagnosis and classification of diabetes mellitus and its complications.

Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Executive Summary of The Third Report of The National Cholesterol Education Program NCEP Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults Adult Treatment Panel III.

The metabolic syndrome — a new worldwide definition. Galassi, A. Metabolic syndrome and risk of cardiovascular disease: a meta-analysis. Mokdad, A. et al. Prevalence of obesity, diabetes, and obesity-related health risk factors, Article Google Scholar.

Zimmet, P. Global and societal implications of the diabetes epidemic. Nature , — Article ADS CAS PubMed Google Scholar. Astrup, A. Redefining type 2 diabetes:'diabesity' or 'obesity dependent diabetes mellitus'?

Obesity Rev. Shafrir, E. Development and consequences of insulin resistance: lessons from animals with hyperinsulinaemia.

Diabetes Metab. CAS PubMed Google Scholar. Pincock, S. Paul Zimmet: fighting the 'diabesity' pandemic. Lancet , Després, J. Race, visceral adipose tissue, plasma lipids, and lipoprotein lipase activity in men and women: the Health, Risk Factors, Exercise Training, and Genetics HERITAGE family study.

Albu, J. Visceral fat and race-dependent health risks in obese nondiabetic premenopausal women. Diabetes 46 , — WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies.

Kadowaki, T. Japanese men have larger areas of visceral adipose tissue than Caucasian men in the same levels of waist circumference in a population-based study.

Lovejoy, J. Abdominal fat distribution and metabolic risk factors: effects of race. Metabolism 45 , — Conway, J. Intrabdominal adipose tissue and anthropometric surrogates in African American women with upper- and lower-body obesity. Abbasi, F. Relationship between obesity, insulin resistance, and coronary heart disease risk.

Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease. Arteriosclerosis 10 , — Is visceral obesity the cause of the metabolic syndrome? Article PubMed CAS Google Scholar. Björntorp, P. Metabolic implications of body fat distribution. Diabetes Care 14 , — Kissebah, A.

Regional adiposity and morbidity. Lebovitz, H. Point: visceral adiposity is causally related to insulin resistance. Mittelman, S. Extreme insulin resistance of the central adipose depot in vivo. Diabetes 51 , — Mauriège, P. Regional variation in adipose tissue metabolism of severely obese premenopausal women.

Bergman, R. Why visceral fat is bad: mechanisms of the metabolic syndrome. Obesity Silver Spring 14 Suppl. Jensen, M. Is visceral fat involved in the pathogenesis of the metabolic syndrome?

Human model. Article MathSciNet CAS Google Scholar. Weisberg, S. Obesity is associated with macrophage accumulation in adipose tissue. Article CAS PubMed PubMed Central MathSciNet Google Scholar. Yudkin, J. C-reactive protein in healthy subjects: associations with obesity, insulin resistance, and endothelial dysfunction: a potential role for cytokines originating from adipose tissue?

Tsimikas, S. C-reactive protein and other emerging blood biomarkers to optimize risk stratification of vulnerable patients. Lemieux, I. Elevated C-reactive protein: another component of the atherothrombotic profile of abdominal obesity.

Maeda, K. cDNA cloning and expression of a novel adipose specific collagen-like factor, apM1 adipose most abundant gene transcript 1.

Scherer, P. A novel serum protein similar to C1q, produced exclusively in adipocytes. Côté, M. Adiponectinemia in visceral obesity: impact on glucose tolerance and plasma lipoprotein and lipid levels in men.

Berg, A. Adipose tissue, inflammation, and cardiovascular disease. Matsuzawa, Y. Therapy Insight: adipocytokines in metabolic syndrome and related cardiovascular disease. Nature Clin. Contribution of interleukin-6 and tumor necrosis factor-alpha to the elevated C-reactive protein levels found in abdominally obese men.

Google Scholar. Hotamisligil, G. Exposure over the life course to an urban environment and its relation with obesity, diabetes, and hypertension in rural and urban Cameroon. Int J Epidemiol ; 33 : — Gao M, Ikeda K, Hattori H, Miura A, Nara Y, Yamori Y. Cardiovascular risk factors emerging in Chinese populations undergoing urbanization.

Hypertens Res ; 22 : — Ramachandran A, Snehalatha C, Latha E, Manoharan M, Vijay V. Impacts of urbanisation on the lifestyle and on the prevalence of diabetes in native Asian Indian population.

Diabetes Res Clin Pract ; 44 : — Taufa T, Benjamin AL. Diabetes: the by-product of westernization in Papua New Guinea.

PNG Med J ; 44 : — Alberti KGM, Zimmet P, Shaw J. The metabolic syndrome—a new worldwide definition. Despres JP. Nieuwdorp M, Stroes ES, Meijers JC, Buller H.

Hypercoagulability in the metabolic syndrome. Curr Opin Pharmacol ; 5 : — Lee YH, Pratley RE. The evolving role of inflammation in obesity and the metabolic syndrome. Curr Diab Rep ; 5 : 70 — Lemieux I, Pascot A, Prud'homme D, Almeras N, Bogaty P, Nadeau A, Bergeron J, Despres JP.

Elevated C-reactive protein: another component of the atherothrombotic profile of abdominal obesity. Arterioscler Thromb Vasc Biol ; 21 : — Ruotolo G, Howard BV. Dyslipidemia of the metabolic syndrome. Curr Cardiol Rep ; 4 : — Krauss RM. Lipids and lipoproteins in patients with type 2 diabetes.

Diabetes Care ; 27 : — Pascot A, Lemieux I, Prud'homme D, Tremblay A, Nadeau A, Couillard C, Bergeron J, Lamarche B, Despres JP. Reduced HDL particle size as an additional feature of the atherogenic dyslipidemia of abdominal obesity.

J Lipid Res ; 42 : — Banerji MA, Faridi N, Atluri R, Chaiken RL, Lebovitz HE. Body composition, visceral fat, leptin, and insulin resistance in Asian Indian men.

J Clin Endocrinol Metab ; 84 : — Faria AN, Ribeiro Filho FF, Gouveia Ferreira SR, Zanella MT. Impact of visceral fat on blood pressure and insulin sensitivity in hypertensive obese women.

Pouliot MC, Despres JP, Nadeau A et al. Visceral obesity in men. Associations with glucose tolerance, plasma insulin, and lipoprotein levels.

Diabetes ; 41 : — Weltman A, Despres JP, Clasey JL, Weltman JY, Wideman L, Kanaley J, Patrie J, Bergeron J, Thorner MO, Bouchard C, Hartman ML. Impact of abdominal visceral fat, growth hormone, fitness, and insulin on lipids and lipoproteins in older adults.

Metabolism ; 52 : 73 — Bajaj M, Banerji MA. Type 2 diabetes in South Asians: a pathophysiologic focus on the Asian-Indian epidemic.

Curr Diab Rep ; 4 : — Lau DC, Dhillon B, Yan H, Szmitko PE, Verma S. Adipokines: molecular links between obesity and atheroslcerosis. Am J Physiol Heart Circ Physiol ; : H —H Boden G, Lebed B, Schatz M, Homko C, Lemieux S.

Effects of acute changes of plasma free fatty acids on intramyocellular fat content and insulin resistance in healthy subjects. Diabetes ; 50 : — Lee Y, Hirose H, Ohneda M, Johnson JH, McGarry JD, Unger RH. Beta-cell lipotoxicity in the pathogenesis of non-insulin-dependent diabetes mellitus of obese rats: impairment in adipocyte-beta-cell relationships.

Proc Natl Acad Sci USA ; 91 : — Pirro M, Mauriege P, Tchernof A, Cantin B, Dagenais GR, Despres JP, Lamarche B. Plasma free fatty acid levels and the risk of ischemic heart disease in men: prospective results from the Quebec Cardiovascular Study. Miles JM, Jensen MD.

Counterpoint: visceral adiposity is not causally related to insulin resistance. Diabetes Care ; 28 : — Park KG, Park KS, Kim MJ, Kim HS, Suh YS, Ahn JD, Park KK, Chang YC, Lee IK. Relationship between serum adiponectin and leptin concentrations and body fat distribution. Diabetes Res Clin Pract ; 63 : — Libby P.

Inflammation in atherosclerosis. Nature ; : — Inflammation and cardiovascular disease: is abdominal obesity the missing link? Int J Obes Relat Metab Disord ; 27 : S22 —S Skolnik EY, Marcusohn J. Inhibition of insulin receptor signaling by TNF: potential role in obesity and non-insulin-dependent diabetes mellitus.

Cytokine Growth Factor Rev ; 7 : — Diamant M, Lamb HJ, van de Ree MA, Endert EL, Groeneveld Y, Bots ML, Kostense PJ, Radder JK. The association between abdominal visceral fat and carotid stiffness is mediated by circulating inflammatory markers in uncomplicated type 2 diabetes. J Clin Endocrinol Metab ; 90 : — St-Pierre AC, Cantin B, Bergeron J, Pirro M, Dagenais GR, Despres JP, Lamarche B.

Inflammatory markers and long-term risk of ischemic heart disease in men A year follow-up of the Quebec Cardiovascular Study.

Torres JL, Ridker PM. High sensitivity C-reactive protein in clinical practice. Am Heart Hosp J ; 1 : — Kuo HK, Yen CJ, Chang CH, Kuo CK, Chen JH, Sorond F. Relation of C-reactive protein to stroke, cognitive disorders, and depression in the general population: systematic review and meta-analysis.

Lancet Neurol ; 4 : — Alessi MC, Juhan-Vague I. Contribution of PAI-1 in cardiovascular pathology. Arch Mal Coeur Vaiss ; 97 : — Kohler HP, Grant PJ. Plasminogen-activator inhibitor type 1 and coronary artery disease. N Engl J Med ; : — Cigolini M, Targher G, Bergamo Andreis IA, Tonoli M, Agostino G, De Sandre G.

Visceral fat accumulation and its relation to plasma hemostatic factors in healthy men. Arterioscler Thromb Vasc Biol ; 16 : — Cote M, Mauriege P, Bergeron J, Almeras N, Tremblay A, Lemieux I, Despres JP.

Adiponectinemia in visceral obesity: impact on glucose tolerance and plasma lipoprotein-lipid levels in men. Bacha F, Saad R, Gungor N, Arslanian SA. Adiponectin in youth: relationship to visceral adiposity, insulin sensitivity, and beta-cell function.

Shetty GK, Economides PA, Horton ES, Mantzoros CS, Veves A. Circulating adiponectin and resistin levels in relation to metabolic factors, inflammatory markers, and vascular reactivity in diabetic patients and subjects at risk for diabetes. Matsuzawa Y, Funahashi T, Kihara S, Shimomura I.

Adiponectin and metabolic syndrome. Arterioscler Thromb Vasc Biol ; 24 : 29 — Pischon T, Girman CJ, Hotamisligil GS, Rifai N, Hu FB, Rimm EB. Plasma adiponectin levels and risk of myocardial infarction in men. Morris JN, Heady JA, Raffle PA, Roberts CG, Parks JW.

Coronary heart-disease and physical activity of work. Heady JA, Morris JN, Raffle PA. Physique of London busmen; epidemiology of uniforms. Lamarche B, Tchernof A, Moorjani S, Cantin B, Dagenais GR, Lupien PJ, Despres JP. Small, dense low-density lipoprotein particles as a predictor of the risk of ischemic heart disease in men: prospective results from the Québec Cardiovascular Study.

Circulation ; 95 : 69 — Lemieux I, Pascot A, Couillard C, Lamarche B, Tchernof A, Almeras N, Bergeron J, Gaudet D, Tremblay G, Prud'homme D, Nadeau A, Despres JP. Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad hyperinsulinemia; hyperapolipoprotein B; small, dense LDL in men?

Pagotto U, Vicennati V, Pasquali R. The endocannabinoid system and the treatment of obesity. Ann Med ; 37 : — Van Gaal LF, Rissanen AM, Scheen AJ, Ziegler O, Rossner S. Effects of the cannabinoid-1 receptor blocker rimonabant on weight reduction and cardiovascular risk factors in overweight patients: 1-year experience from the RIO-Europe study.

Despres JP, Golay A, Sjostrom L. Effects of rimonabant on metabolic risk factors in overweight patients with dyslipidemia. Oxford University Press is a department of the University of Oxford.

It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide. Sign In or Create an Account. Navbar Search Filter European Heart Journal Supplements This issue ESC Publications Cardiovascular Medicine Books Journals Oxford Academic Mobile Enter search term Search.

Issues More Content Author videos ESC Content Collections Supplements Submit Author Guidelines Submission Site Open Access Options Self-Archiving Policy Purchase About About European Heart Journal Supplements About the European Society of Cardiology ESC Publications Editorial Board Alerts Advertising and Corporate Services Journals Career Network Terms and Conditions Journals on Oxford Academic Books on Oxford Academic.

ESC Publications. Issues More Content Author videos ESC Content Collections Supplements Submit Author Guidelines Submission Site Open Access Options Self-Archiving Policy Purchase About About European Heart Journal Supplements About the European Society of Cardiology ESC Publications Editorial Board Alerts Advertising and Corporate Services Journals Career Network Terms and Conditions Close Navbar Search Filter European Heart Journal Supplements This issue ESC Publications Cardiovascular Medicine Books Journals Oxford Academic Enter search term Search.

Abdominal Obesity and the Metabolic Syndrome | SpringerLink Weight loss and psychologic gain in obese women-participants in a supported exercise intervention. The aim of this review is to i summarise current evidence on the pathophysiology of dysfunctional adipose tissue adiposopathy , its relationship to metabolic syndrome and how exercise may mediate these processes; and ii evaluate current evidence on the clinical efficacy of exercise in the management of abdominal obesity and to assess the type and dose of exercise needed for optimal improvements in health status. Bonora et al. References Blüher M. Similar adjustments were made for waist circumference including adjustment for BMI. Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB.

Metabolic syndrome abdominal obesity -

Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases. Stewart KJ, Bacher AC, Turner K, Lim JG, Hees PS, Shapiro EP, et al. Exercise and risk factors associated with metabolic syndrome in older adults. Am J Prev Med.

Lee SW, Son JY, Kim JM, Hwang S-S, Han JS, Heo NJ. Body fat distribution is more predictive of all-cause mortality than overall adiposity. Kasapis C, Thompson PD. The effects of physical activity on serum C-reactive protein and inflammatory markers: a systematic review.

J Am Coll Cardiol. Vella CA, Allison MA, Cushman M, Jenny NS, Miles MP, Larsen B, et al. Physical activity and adiposity-related inflammation: the MESA. Wärnberg J, Cunningham K, Romeo J, Marcos A.

Physical activity, exercise and low-grade systemic inflammation. Proc Nutr Soc. Nicklas BJ, You T, Pahor M. Behavioural treatments for chronic systemic inflammation: effects of dietary weight loss and exercise training.

Journal De L'association Medicale Canadienne. Jennersjö P, Ludvigsson J, Länne T, Nystrom FH, Ernerudh J, Östgren CJ. Pedometer-determined physical activity is linked to low systemic inflammation and low arterial stiffness in type 2 diabetes.

Diabetic Medicine: A Journal Of The British Diabetic Association. Bergström G, Behre CJ, Schmidt C. Moderate intensities of leisure-time physical activity are associated with lower levels of high-sensitivity C-reactive protein in healthy middle-aged men.

Fedewa MV, Hathaway ED, Ward-Ritacco CL. Effect of exercise training on C reactive protein: a systematic review and meta-analysis of randomised and non-randomised controlled trials. British Journal Of Sports Medicine. Shaw K, Gennat H, O'Rourke P, Del Mar C. Exercise for overweight or obesity.

The Cochrane Database Of Systematic Reviews. Melo LC, Dativo-Medeiros J, Menezes-Silva CE, Barbosa FT, de Sousa-Rodrigues CF, Rabelo LA.

Physical Exercise on Inflammatory Markers in Type 2 Diabetes Patients: A Systematic Review of Randomized Controlled Trials. Oxid Med Cell Longev. Hayashino Y, Jackson JL, Hirata T, Fukumori N, Nakamura F, Fukuhara S, et al.

Effects of exercise on C-reactive protein, inflammatory cytokine and adipokine in patients with type 2 diabetes: a meta-analysis of randomized controlled trials.

Wareham N, van Sluijs E, Ekelund U. Physical activity and obesity prevention: a review. Slentz CA, Duscha BD, Johnson JL, Ketchum K, Aiken LB, Samsa GP, et al. Effects of the amount of exercise on body weight, body composition, and measures of central obesity: STRRIDE--a randomized controlled study.

Marshall SJ, Levy SS, Tudor-Locke CE, Kolkhorst FW, Wooten KM, Ji M et al. Translating Physical Activity Recommendations into a Pedometer-Based Step Goal: Steps in 30 Minutes.

Tudor-Locke C, Bassett DR Jr. Preliminary pedometer indices for public health. Tudor-Locke C, Bassett DR Jr, Rutherford WJ, Ainsworth BE, Chan CB, Croteau K, et al. BMI-referenced cut points for pedometer-determined steps per day in adults. Tudor-Locke C, Burkett L, Reis JP, Ainsworth BE, Macera CA, Wilson DK.

How many days of pedometer monitoring predict weekly physical activity in adults? Prev Med. Tudor-Locke C, Craig CL, Brown WJ, Clemes SA, De Cocker K, Giles-Corti B, et al.

For adults. The International Journal Of Behavioral Nutrition And Physical Activity. Gremeaux V, Drigny J, Nigam A, Juneau M, Guilbeault V, Latour E, et al. Long-term lifestyle intervention with optimized high-intensity interval training improves body composition, cardiometabolic risk, and exercise parameters in patients with abdominal obesity.

Seligman BGS, Polanczyk CA, Santos ASB, Foppa M, Junges M, Bonzanini L, et al. Intensive practical lifestyle intervention improves endothelial function in metabolic syndrome independent of weight loss: a randomized controlled trial.

Zhang H, Tong TK, Qiu W, Zhang X, Zhou S, Liu Y, et al. Comparable Effects of High-Intensity Interval Training and Prolonged Continuous Exercise Training on Abdominal Visceral Fat Reduction in Obese Young Women. Journal Of Diabetes Research. PubMed PubMed Central Google Scholar. Irving BA, Davis CK, Brock DW, Weltman JY, Swift D, Barrett EJ, et al.

Effect of exercise training intensity on abdominal visceral fat and body composition. Giannaki CD, Aphamis G, Sakkis P, Hadjicharalambous M.

Eight weeks of a combination of high intensity interval training and conventional training reduce visceral adiposity and improve physical fitness: a group-based intervention.

J Sports Med Phys Fitness. PubMed Google Scholar. Slentz CA, Aiken LB, Houmard JA, Bales CW, Johnson JL, Tanner CJ, et al. Inactivity, exercise, and visceral fat. STRRIDE: a randomized, controlled study of exercise intensity and amount.

Loprinzi PD. Frequency of moderate-to-vigorous physical activity MVPA is a greater predictor of systemic inflammation than total weekly volume of MVPA: implications for physical activity promotion.

Physiol Behav. Cronin O, Keohane DM, Molloy MG, Shanahan F. The effect of exercise interventions on inflammatory biomarkers in healthy, physically inactive subjects: a systematic review. QJM: Monthly Journal Of The Association Of Physicians.

Zdziarski LA, Wasser JG, Vincent HK. Chronic pain management in the obese patient: a focused review of key challenges and potential exercise solutions. J Pain Res. Dutheil F, Lac G, Lesourd B, Chapier R, Walther G, Vinet A, et al. Different modalities of exercise to reduce visceral fat mass and cardiovascular risk in metabolic syndrome: the RESOLVE randomized trial.

Loveman E, Frampton GK, Shepherd J, Picot J, Cooper K, Bryant J, et al. The clinical effectiveness and cost-effectiveness of long-term weight management schemes for adults: a systematic review. Health Technol Assess. Annesi JJ, Whitaker AC.

Weight loss and psychologic gain in obese women-participants in a supported exercise intervention. The Permanente Journal. Clauw DJ, Crofford LJ. Chronic widespread pain and fibromyalgia: what we know, and what we need to know. Best Pract Res Clin Rheumatol. Connelly J, Kirk A, Masthoff J, MacRury S.

The use of technology to promote physical activity in type 2 diabetes management: a systematic review. Download references. School of Clinical and Applied Sciences, Leeds Beckett University, Portland Building, City Campus, Leeds, LS1 3HE, UK.

You can also search for this author in PubMed Google Scholar. CP was responsible for collating the required information for the review, drafting the initial review and writing the final report.

MJ was responsible for providing explanation of the physiology, for assisting with the synthesis of information gathered and the writing of the final draft. Both authors read and approved the final manuscript. Correspondence to Carole A. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access This article is distributed under the terms of the Creative Commons Attribution 4. Reprints and permissions. Paley, C. Abdominal obesity and metabolic syndrome: exercise as medicine?. BMC Sports Sci Med Rehabil 10 , 7 Download citation. Received : 15 January Accepted : 26 April Published : 04 May Anyone you share the following link with will be able to read this content:.

Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative. Skip to main content. Search all BMC articles Search.

Abdominal obesity and metabolic syndrome: exercise as medicine? Download PDF. Review Open access Published: 04 May Abdominal obesity and metabolic syndrome: exercise as medicine? Carole A. Johnson 2 BMC Sports Science, Medicine and Rehabilitation volume 10 , Article number: 7 Cite this article 18k Accesses 97 Citations Altmetric Metrics details.

Abstract Background Metabolic syndrome is defined as a cluster of at least three out of five clinical risk factors: abdominal visceral obesity, hypertension, elevated serum triglycerides, low serum high-density lipoprotein HDL and insulin resistance.

Purpose of this review This review provides a summary of the current evidence on the pathophysiology of dysfunctional adipose tissue adiposopathy. Conclusion There is moderate evidence supporting the use of programmes of exercise to reverse metabolic syndrome although at present the optimal dose and type of exercise is unknown.

Background Metabolic syndrome is defined as a cluster of at least three out of five clinical risk factors: abdominal visceral obesity, hypertension, elevated serum triglycerides, low serum high-density lipoprotein HDL and insulin resistance [ 1 ].

Abdominal obesity, adiposopathy and metabolic dysfunction To understand the significance of abdominal obesity and its contribution to metabolic syndrome, it is necessary to appreciate the link between the diseases associated with this condition.

Metabolic dysfunction and exercise Abdominal adiposity is a reversible condition and its reduction can have excellent effects in diminishing cardiovascular and metabolic syndrome risk. Optimal dose of exercise There are no specific guidelines on exercise prescription for systemic inflammation although guidance is available in the form of programmes designed to reduce body fat and improve general health status.

Promoting adherence to exercise Programmes One of the major challenges in using programmes of exercise to improve health status is promoting and maintaining adherence in individuals who have often been inactive for many years and who may be overweight or obese [ 86 ].

Conclusion An increasingly sedentary lifestyle, a lack of regular exercise and an increase in obesity have been the main contributors to a rise in the incidence of metabolic dysfunction, particularly in the developed world. Abbreviations ACSM: American College of Sports Medicine BMI: Body mass index CRP: C-reactive protein EIM: Exercise is Medicine HDL: High density lipoprotein HIIT: High Intensity Interval Training HPA: Hypothlamic-pituitary-adrenal hsCRP: High-sensitivity C-reactive protein LDL: Low density lipoprotein METS: Metabolic equivalent units TNF-α: Tumour necrosis factor alpha VO 2 : Oxygen Uptake.

References Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Article CAS PubMed Google Scholar Shin J-A, Lee J-H, Lim S-Y, Ha H-S, Kwon H-S, Park Y-M, et al. Article CAS PubMed PubMed Central Google Scholar Park Y-W, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB.

Article PubMed PubMed Central Google Scholar Fujita T. Article CAS PubMed Google Scholar WHO. Article PubMed Google Scholar Björntorp P. Article PubMed Google Scholar Ruderman NB, Schneider SH, Berchtold P. Article CAS PubMed Google Scholar Cardinal BJ, Park EA, Kim M, Cardinal MK. Article PubMed Google Scholar Davidson LE, Hudson R, Kilpatrick K, Kuk JL, McMillan K, Janiszewski PM, et al.

Article PubMed Google Scholar Lee S, Kuk JL, Davidson LE, Hudson R, Kilpatrick K, Graham TE, et al. Article Google Scholar Després J-P, Lemieux I, Bergeron J, Pibarot P, Mathieu P, Larose E, et al.

Article PubMed Google Scholar Ritchie SA, Connell JMC. Article CAS PubMed Google Scholar Swisher AK. Google Scholar ACSM.

Article PubMed Google Scholar Sironi AM, Gastaldelli A, Mari A, Ciociaro D, Postano V, Buzzigoli E, et al. CAS Google Scholar Brooks GC, Blaha MJ, Blumenthal RS. Article CAS PubMed Google Scholar Ye J.

Article CAS Google Scholar Ryan AS, Ge S, Blumenthal JB, Serra MC, Prior SJ, Goldberg AP. Article PubMed PubMed Central Google Scholar Huth C, Pigeon É, Riou M-È, St-Onge J, Arguin H, Couillard E, et al. Article CAS PubMed Google Scholar Ellulu MS, Khaza'ai H, Rahmat A, Patimah I, Abed Y.

Article PubMed Google Scholar Das UN. Article CAS Google Scholar Golbidi S, Mesdaghinia A, Laher I. Article Google Scholar Guarner V, Rubio-Ruiz ME. Article PubMed Google Scholar Marsland AL, McCaffery JM, Muldoon MF, Manuck SB.

Article CAS PubMed PubMed Central Google Scholar Eaton SB, Eaton SB. Article PubMed Google Scholar Esposito K, Nappo F, Marfella R, Giugliano G, Giugliano F, Ciotola M, et al. Article CAS PubMed Google Scholar Dantzer R, O'Connor JC, Freund GG, Johnson RW, Kelley KW. Article CAS PubMed PubMed Central Google Scholar Nunn AV, Guy GW, Brodie JS, Bell JD.

Article Google Scholar Romero-Corral A, Caples SM, Lopez-Jimenez F, Somers VK. Article CAS PubMed PubMed Central Google Scholar Ye J, Gao Z, Yin J, He Q. Article CAS PubMed Google Scholar You T, Arsenis NC, Disanzo BL, Lamonte MJ. Article Google Scholar Trayhurn P. Article CAS PubMed Google Scholar Wang T-N, Chang W-T, Chiu Y-W, Lee C-Y, Lin K-D, Cheng YY, et al.

Article CAS PubMed Google Scholar Prpić-Križevac I, Canecki-Varžić S, Bilić-Ćurčić I. Article PubMed Google Scholar Nijm J, Jonasson L. Article CAS PubMed Google Scholar Tsigos C, Kyrou I. Google Scholar O'Donovan G, Thomas EL, McCarthy JP, Fitzpatrick J, Durighel G, Mehta S, et al.

Article Google Scholar Sharma S, Batsis JA, Coutinho T, Somers VK, Hodge DO, Carter RE, et al. Article PubMed Google Scholar Sahakyan KR, Somers VK, Rodriguez-Escudero JP, Hodge DO, Carter RE, Sochor O, et al. Article PubMed PubMed Central Google Scholar Czernichow S, Kengne AP, Stamatakis E, Hamer M, Batty GD.

CAS PubMed PubMed Central Google Scholar Vakil KP, Malhotra S, Sawada S, Campbell SR, Sayfo S, Kamalesh M. Article PubMed Google Scholar Nazare J-A, Smith J, Borel A-L, Aschner P, Barter P, Van Gaal L, et al. Article PubMed Google Scholar Kartheuser AH, Leonard DF, Penninckx F, Paterson HM, Brandt D, Remue C, et al.

Article PubMed Google Scholar Telford RD. Article PubMed Google Scholar Bullock VE, Griffiths P, Sherar LB, Clemes SA. Article PubMed Google Scholar Roda C, Charreire H, Feuillet T, Mackenbach JD, Compernolle S, Glonti K, et al. Carr, John D. Regional body fat distribution has an important influence on metabolic and cardiovascular risk factors.

Increased abdominal visceral fat accumulation is a risk factor for coronary artery disease CAD , dyslipidemia, hypertension, stroke, and type 2 diabetes.

The recent emphasis on treatment of the dyslipidemia of the metabolic syndrome hypertriglyceridemia, reduced high-density lipoprotein, and increased small, dense low-density lipoprotein particle number has compelled practitioners to consider lipid-lowering therapy in a greater number of their patients, as one in two individuals over age 50 has the metabolic syndrome.

Individuals with the metabolic syndrome typically have normal low-density lipoprotein cholesterol levels, and current lipid-lowering guidelines may underestimate their cardiovascular risk.

Two subgroups of patients with the metabolic syndrome are at particularly high risk for premature CAD. Familial combined hyperlipidemia is characterized by the metabolic syndrome in addition to a disproportionate elevation of apolipoprotein B levels. The measurement of fasting glucose and apolipoprotein B, in addition to the fasting lipid profile, can help to estimate CAD risk in patients with the metabolic syndrome.

DISTINCT METABOLIC FEATURES are seen in individuals with increased amounts of abdominal visceral adipose tissue. Hypertriglyceridemia, reduced high density lipoprotein HDL , and small, dense low density lipoprotein LDL particles characterize the dyslipidemia associated with increased abdominal fat.

Individuals with the metabolic syndrome typically have normal LDL cholesterol levels, but their LDL particles are small and dense, and current lipid-lowering guidelines may underestimate their coronary artery disease CAD risk.

Further evaluation of apolipoprotein B apo B in patients with the metabolic syndrome can help detect patients with familial combined hyperlipidemia FCHL and identify them as candidates for aggressive lipid lowering. As the prevalence of the metabolic syndrome rises with increasing obesity and sedentary lifestyle, so does the disease burden of increased type 2 diabetes mellitus and cardiovascular disease.

Many prospective studies have shown that increased abdominal visceral fat accumulation is an independent risk factor for CAD, hypertension, stroke, and type 2 diabetes DM2 1 — 3.

The strong link between increased abdominal visceral fat and hyperinsulinism, insulin resistance, elevated plasma free fatty acid FFA levels, hypertension, predisposition to thrombosis, hypertriglyceridemia, small, dense LDL particles, and reduced HDL has been recognized for decades, but until recently there has been no uniform definition of this disease complex.

Even normal weight individuals with increased amounts of abdominal adipose tissue can be metabolically obese, with insulin resistance and dyslipidemia 6 , 7. Multiple environmental and genetic factors are thought to influence the manifestation of abdominal obesity.

Intraabdominal fat increases with age in both overweight and normal weight individuals independently of changes in total body fat 8. Sex steroid hormones appear to contribute to body fat distribution, as men have twice as much abdominal fat as women 9 , 10 , and estrogen deficiency at menopause is associated with a preferential increase in intraabdominal fat, which is blunted by estrogen replacement therapy 11 , There is also evidence that increased abdominal adipose tissue is associated with physical inactivity, increased plasma cortisol, and intrauterine environment Genetic factors that predispose individuals to gain weight centrally may explain the susceptibility of certain ethnic groups to DM2 15 , The increased focus on the metabolic syndrome has drawn attention to the identification and treatment of the dyslipidemia associated with abdominal fat accumulation.

The changes in lipid metabolism seen with abdominal fat accumulation have been well characterized and include hypertriglyceridemia, reduced HDL cholesterol, and increased numbers of small, dense LDL particles.

Elevated LDL cholesterol is not a feature of the dyslipidemia seen with abdominal obesity. Other features of the dyslipidemia of abdominal adiposity include elevated very low density lipoproteins VLDL , and reduced HDL 2 , which are the large buoyant antiatherogenic subspecies of total HDL.

In some individuals, apo B levels may be elevated, reflecting an increase in the number of small, dense lipoprotein particles VLDL and LDL. The hypertriglyceridemia seen with abdominal obesity and insulin resistance is related to the oversecretion of triglyceride-rich VLDL particles see Fig.

An increased rate of hepatic FFA uptake stimulates the secretion of apo B, leading to increased numbers of apo B-containing particles and possibly hypertriglyceridemia Apo B is the structural protein of atherogenic lipoproteins, including VLDL, intermediate density lipoproteins IDL , and LDL.

Each of these lipoproteins contains one apo B molecule, and the plasma apo B level reflects the total number of atherogenic particles in the blood. VLDL particles are exposed to lipoprotein lipase in the peripheral circulation, which hydrolyzes the triglyceride in VLDL particles, generating FFA.

Under normal conditions, these FFA are taken up by muscle and adipose tissue for energy use or storage. The resultant remnant particles are then processed by the liver to form LDL. Elevated portal vein FFA levels with insulin resistance lead to an overproduction of apo B-containing particles.

Apo B is the structural protein of atherogenic lipoproteins, including VLDL and IDL, and the apo B concentration reflects the total number of atherogenic particles in the blood. The metabolic syndrome is associated with increased numbers of small VLDL, IDL, and LDL particles, with a decreased triglyceride to apo B ratio compared with normal.

An increased number of small, dense LDL particles is a constant feature of the dyslipidemia of abdominal adiposity, as they are associated with insulin resistance, intraabdominal fat, and hypertension 18 — LDL comprises a spectrum of particles that vary in size, density, chemical composition, and atherogenic potential.

In conditions of elevated triglycerides, LDL particles become enriched in triglycerides and depleted of core cholesteryl esters see Fig. Hepatic lipase then acts to hydrolyze these triglyceride-rich LDL, forming smaller, denser LDL particles. The presence of small, dense cholesterol-depleted LDL particles is associated with an increased risk of myocardial infarction 21 — 23 and worsened severity of CAD 24 — The Familial Atherosclerosis Treatment Study showed that the strongest predictor of coronary artery stenosis regression, induced by aggressive lipid lowering, was the increase in LDL buoyancy, not the change in LDL cholesterol level Cholesteryl ester transfer protein CETP facilitates the exchange of cholesterol ester in LDL and HDL particles for triglyceride in VLDL particles.

The transfer of triglyceride into LDL and HDL particles makes them triglyceride-rich and hence a better substrate for hepatic lipase. Elevated hepatic lipase activity leads to a predominance of small, dense LDL particles and a reduction in HDL 2 , the more antiatherogenic subspecies of HDL.

Although the mechanisms underlying the association of small, dense LDL with increased risk of CAD are not clear, several hypotheses have been proposed. One explanation is that the presence of small, dense LDL particles is a marker of an atherogenic lipoprotein phenotype comprised of elevated triglycerides, reduced HDL, and elevated apo B, which together increase CAD risk Mechanistically, small, dense LDL particles enter the arterial wall more easily 29 , bind to arterial wall proteoglycans more avidly 30 , and are highly susceptible to oxidative modification, leading to macrophage uptake 31 , 32 , all of which may contribute to increased atherogenesis.

HDL and VLDL metabolism are closely linked, which explains why increased plasma triglyceride is almost always associated with reduced HDL levels.

Cholesteryl ester transfer protein mediates the exchange of triglyceride in VLDL for cholesteryl ester in LDL and HDL, leading to the production of triglyceride-rich LDL and HDL particles. Subsequent hepatic lipase-mediated hydrolysis of these particles leads to the generation of small, dense LDL particles and a decrease in HDL 2 cholesterol the large buoyant and antiatherogenic subspecies of total HDL; see Fig.

Many studies have shown significantly increased CAD risk with the features of the metabolic syndrome, described under different names, but until recently limited information was available about the prevalence of the syndrome in the general population 20 , 23 , 34 , It is now clear that the metabolic syndrome is very common in westernized countries and varies with age, ethnicity, and body mass index 36 — Ford et al.

Alexander et al. The presence of the metabolic syndrome is estimated to increase the risk of coronary heart disease by 1. Although individuals with the combination of the metabolic syndrome and diabetes have a high overall age-adjusted prevalence of CAD Recently published American Heart Association guidelines describe the presence of the metabolic syndrome, without diabetes, as a moderate CAD risk factor No study to date has established the contribution of familial combined hyperlipidemia to CAD risk in nondiabetic individuals with the metabolic syndrome see below.

Individuals with the combination of the metabolic syndrome MS and diabetes DM have a high overall age-adjusted prevalence of CHD, whereas the presence of the metabolic syndrome in subjects without diabetes appears to convey a moderate risk of CAD compared with those with neither The recent emphasis on treatment of the dyslipidemia of the metabolic syndrome has compelled practitioners to consider lipid-lowering therapy in a greater number of their patients, as epidemiological studies have shown that one in two individuals over 50 yr of age has the metabolic syndrome.

It is not yet clear whether all of these patients should be treated with lipid-lowering medications, and the economic impact of such a decision is enormous.

Although the primary focus on CAD prevention remains on LDL lowering, LDL cholesterol levels may underestimate CAD risk in the metabolic syndrome. Importantly, the increased event rate with the metabolic syndrome remained significant after adjustment for the Framingham yr risk score, implying independent contributions of the metabolic syndrome and the Framingham score in predicting future CAD risk The evaluation of apo B in the metabolic syndrome can help target patients for aggressive lipid-lowering therapy.

High levels of LDL cholesterol are generally accepted to be one of the strongest risk factors for CAD, but there is now significant evidence that the measurement of apo B may be an even better predictor of future CAD 45 — Insulin resistance is associated with increased numbers of small VLDL, IDL, and LDL particles, reflected by higher apo B levels, with decreased triglyceride to apo B ratios compared with those in individuals with normal insulin sensitivity.

These particles are associated with increased coronary heart disease. Studies have shown that increased apo B and apo B-containing lipoproteins VLDL and IDL are related to an increased risk of CAD 45 — 47 and that particle quantity absolute number and quality small, dense both contribute to cardiovascular risk 23 see Fig.

Bonora et al. This implies that the individuals with the metabolic syndrome had a higher number of cholesterol-deplete small, dense LDL particles. Odds ratios for ischemic heart disease IHD according to apo B levels and LDL peak particle diameter size.

Men with both elevated apo B and small, dense LDL particles had a significantly higher risk of IHD than men with small, dense LDL particles but normal apo B levels.

Reprinted with permission from Lamarche et al. DM2 and FCHL share many of the phenotypic features of the metabolic syndrome increased abdominal adiposity, insulin resistance, hypertension, and dyslipidemia , but appear to convey a greater risk of CAD than the metabolic syndrome alone.

Patients with DM2 are at very high risk of CAD and have been identified as candidates for aggressive lipid lowering 5 , FCHL is a common lipid disorder that shares many features of the metabolic syndrome, and most patients diagnosed with FCHL also meet the NCEP criteria for the metabolic syndrome The identification of the metabolic syndrome should prompt practitioners to further evaluate patients for DM2 or FCHL, as the diagnosis of these disorders can help target those at high risk for CAD and direct lipid-lowering therapy.

FCHL is the most common genetic form of hyperlipidemia and is associated with a 1. Goldstein et al. Although the prevalence of FCHL was originally estimated to be 0. The underlying process in FCHL appears to be the overproduction of apo B in lipoproteins VLDL, IDL, and LDL , which is not seen in other forms of hypertriglyceridemia 60 , The variable clinical lipid presentation of FCHL in patients has made their identification difficult, but the demonstration of elevated apo B and small, dense LDL particles has been shown to be a consistent feature across the variable lipid phenotypes 62 — Often one can identify affected relatives, and it is important to screen siblings and children of individuals with FCHL.

FCHL is an oligogenic disorder that is not fully expressed until the third decade of life, possibly associated with the accumulation of central abdominal fat Children who have inherited FCHL usually do not have hyperlipidemia The metabolic features of FCHL are very similar to those of the metabolic syndrome, as individuals with FCHL are also characterized by insulin resistance, increased abdominal obesity, and hypertension 65 — Hopkins et al.

Purnell et al. Further, apo B levels and small, dense LDL particles have been shown to segregate independently in families with FCHL FCHL is a subtype of the metabolic syndrome, with higher apo B levels.

The identification of FCHL patients at high risk for CAD within the large population of individuals with the metabolic syndrome can help identify individuals as candidates for aggressive lipid-lowering interventions.

The metabolic syndrome is a common population trait comprised of a heterogeneous group of oligogenic disorders, such as DM2 and familial combined hyperlipidemia see Fig. The identification of these metabolic syndrome subtypes by measuring fasting glucose and apo B can help target these high risk patients for lipid-lowering therapy.

Patients with the metabolic syndrome should be screened for DM2, as individuals with DM2 and the metabolic syndrome are at high risk for CAD. Current guidelines recommend that patients with DM2 should be aggressively treated for dyslipidemia with the goal to maintain LDL below 2.

Apo B levels increase with age; therefore, age-appropriate apo B levels must be used in diagnosis Several large prospective studies have shown that the apo B level is a better predictor of future cardiovascular events than the LDL cholesterol level 45 , 71 , Recently, the Apolipoprotein-Related Mortality Risk Study published prospective data in , men and women and found that the total apo B level was a better predictor of future CAD risk than LDL cholesterol Importantly, they also found that apo B was a better predictor of CAD risk in individuals with low LDL levels, supporting the idea that patients with low LDL cholesterol levels and increased quantities of small, dense atherogenic particles VLDL, IDL, and LDL are at risk for CAD.

Apo B levels by age and gender mean and 90th percentile. To convert apo B values to grams per liter, divide by In addition to apo B, the measurement of non-HDL cholesterol total cholesterol minus HDL cholesterol can be used to assess the quantity of atherogenic apo B-containing lipoproteins VLDL, IDL, and LDL.

Some investigators have proposed that non-HDL cholesterol could replace the LDL measure in patients with hypertriglyceridemia dyslipidemia with DM2 or FCHL , because these patients have more cholesterol in VLDL particles, and LDL cholesterol alone can underestimate their CAD risk The current NCEP guidelines recommend a non-HDL cholesterol goal of less than 3.

Total apo B and non-HDL cholesterol levels are generally highly correlated, but less so at higher triglyceride levels. Comprehensive treatment of patients with the metabolic syndrome has recently been described in detail The treatment of the dyslipidemia of the metabolic syndrome should be focused on lowering LDL and apo B and increasing HDL.

Statin treatment has been shown to reduce cardiovascular events in persons with low LDL cholesterol levels at baseline The percent reduction in LDL cholesterol and apo B by statin medications is similar, but apo B may be a better marker of treatment efficacy in metabolic syndrome patients with normal LDL cholesterol Although LDL cholesterol has remained the primary target of lipid-lowering therapy, raising HDL levels is now an important secondary target to reduce CAD risk 5.

Combination lipid-lowering therapy is frequently needed to treat the dyslipidemia of the metabolic syndrome increased triglyceride, reduced HDL, and small, dense LDL particles , if lifestyle changes weight loss and exercise are inadequate.

Nicotinic acid and fibric acid derivatives both act to reduce triglyceride and increase HDL cholesterol. They are frequently used with statin medications. Although fibrate monotherapy lowers plasma triglyceride levels, it can lead to increases in LDL levels.

Bile acid resin binders lower LDL cholesterol levels, but can increase triglyceride levels in individuals susceptible to hypertriglyceridemia. Although niacin is an inexpensive monotherapeutic agent that corrects the dyslipidemia of the metabolic syndrome, it may increase glucose levels in some patients Several groups have recently shown that niacin use in diabetic individuals was safe and effective, resulting in only a transient worsening of glycemic control 78 — The decision to initiate lipid-lowering therapy in nondiabetic individuals with the metabolic syndrome can be difficult using current guidelines, as LDL levels may underestimate CAD risk in this population.

The large population of individuals with the metabolic syndrome appears to be comprised of a heterogeneous group of disorders, and the identification of disease subtypes at high risk for CAD can help identify individuals as candidates for aggressive lipid-lowering interventions.

Two subgroups of patients with the metabolic syndrome, those with DM2 or FCHL, are at particularly high risk for premature CAD. FCHL is characterized by the metabolic syndrome in addition to a disproportionate elevation of apo B levels.

The measurement of fasting glucose and apo B in addition to the fasting lipid profile can help to estimate CAD risk and guide treatment decisions in patients with the metabolic syndrome. This work was supported by NIH Grants HL, HL, and DK and K23 Award RR to M.

and by University of Washington General Clinical Research Center MRR Larsson B , Svardsudd K , Welin L , Wilhelmsen L , Bjorntorp P , Tibblin G Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in Br Med J : — Google Scholar.

Lapidus L , Bengtsson C , Larsson B , Pennert K , Rybo E , Sjostrom L Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden.

Ducimetiere P , Richard J , Cambien, F The pattern of subcutaneous fat distribution in middle-aged men and the risk of coronary heart disease: the Paris Prospective Study. Int J Obes 10 : — Alberti KG , Zimmet, PZ Definition, diagnosis and classification of diabetes mellitus and its complications.

Prim Care Diabetes. World Health Organization. Waist Circumference and Waist-Hip Ratio. Report of a WHO Consultation. pdf Accessed: 20 May Hsieh SD, Yoshinaga H, Muto T. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women.

Int J Obes Relat Metab Disord. Article CAS Google Scholar. Park J, Lee ES, Lee DY, Kim J, Park SE, Park CY, et al. Waist circumference as a marker of obesity is more predictive of coronary artery calcification than body mass index in apparently healthy Korean adults: The Kangbuk Samsung Health Study.

Endocrinol Metab. Lee SC, Hairi NN, Moy FM. Metabolic syndrome among non-obese adults in the teaching profession in Melaka. J Epidemiol. Thaikruea L, Thammasarot J. Prevalence of normal weight central obesity among Thai healthcare providers and their association with CVD risk: a cross-sectional study.

Sci Rep. Czernichow S, Kengne AP, Stamatakis E, Hamer M, Batty GD. Body mass index, waist circumference and waist-hip ratio: which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual-participant meta-analysis of 82 participants from nine cohort studies.

Obes Rev. CAS PubMed PubMed Central Google Scholar. Sándor J, Kósa K, Fürjes G, Papp M, Csordás Á, Rurik I, et al. Eur J Public Health. Sándor J, Kósa K, Papp M, Fürjes G, Kőrösi L, Jakovljevic M, et al. Capitation-Based Financing hampers the Provision of Preventive services in Primary health care.

Front Public Health. Ádány R, Kósa K, Sándor J, Papp M, Fürjes G. Ádány R. Version Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults Adult Treatment Panel III. National Institutes of health.

National heart, lung and blood institute; Definition, Diagnosis and Classification of Diabetes Mellitus and its Complications. STEPwise approach to surveillance STEPS. Obesity: Preventing and managing the global epidemic. World Health Organization Geneva WHO Technical Report Series, No.

American Heart Association. Understanding and Managing High Blood Pressure. pdf Accessed: 15 June Hu L, Huang X, You C, Li J, Hong K, Li P, Wu Y, Wu Q, Wang Z, Gao R, Bao H, Cheng X.

Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. PLoS One. Chinedu SN, Ogunlana OO, Azuh DE, Iweala EE, Afolabi IS, Uhuegbu CC, Idachaba ME, Osamor VC. Correlation between body mass index and waist circumference in Nigerian adults: implication as indicators of health status.

J Public Health Res. Atlantis E, Martin SA, Haren MT, Taylor AW, Wittert GA. Lifestyle factors associated with age-related differences in body composition: the Florey Adelaide Male Aging Study. Am J Clin Nutr. Okosun IS, Liao Y, Rotimi CN, Prewitt TE, Cooper RS.

Abdominal adiposity and clustering of multiple metabolic syndrome in white, black and hispanic Americans. Ann Epidemiol. Cerhan JR, Moore SC, Jacobs EJ, Kitahara CM, Rosenberg PS, Adami HO, et al.

A pooled analysis of waist circumference and mortality in , adults. Mayo Clin Proc. Huang L-H, Liao Y-L, Hsu C-H. Waist circumference is a better predictor than body mass index of insulin resistance in type 2 diabetes. Obes Res Clin Pract. Pi-Sunyer X. The Medical Risks of Obesity. Postgrad Med. Orces CH, Montalvanb M, Tettamantic D: Prevalence of abdominal obesity and its association with cardio metabolic risk factors among older adults in Ecuador.

Diabetes Metab Syndr. Google Scholar. Kaur J. Assessment and screening of the risk factors in metabolic syndrome. Med Sc. Task Force on Practice Guidelines and The Obesity Society.

Health at a Glance OECD Indicators. Published by OECD in Virginia A. Moyer: Screening for and Management of Obesity in Adults: U. Preventive Services Task Force Recommendation Statement. Ann Intern Med. Decree No. nm Accessed: 25 July Hungarian Central Statistical Office: Changing in mortality patterns and causes of death in Hungary, Sándor J, Nagy A, Földvári A, Szabó E, Csenteri O, Vincze F, Sipos V, Kovács N, Pálinkás A, Papp M, Fürjes G, Ádány R.

Delivery of cardio-metabolic preventive services to Hungarian Roma of different socio-economic strata. Fam Pract. Orces CH, Montalvanb M, Tettamantic D. Prevalence of abdominal obesity and its association with cardio metabolic risk factors among older adults in Ecuador.

Download references. Department of Public Health, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, , Hungary. Department of Medical Physics and Informatics, University of Szeged, Szeged, Hungary. Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.

MTA-DE Public Health Research Group, Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary. You can also search for this author in PubMed Google Scholar. JS, RÁ, and MP took leadership and responsibility for the research activity planning and made substantial contributions to the conception and design of the Programme.

KV worked on the statistical analysis of the data. AL, EH, ASz, and ZsM carried out the interpretation of the results.

Abdominal obesity, due to intra-abdominal Resourceful nutrient balance, drives the progression of multiple cardiometabolic syyndrome factors independently of body mass index. This occurs both syyndrome Metabolic syndrome abdominal obesity secretion of adipocyte-derived biologically active substances adipokinesincluding free obesityy Metabolic syndrome abdominal obesity, syyndrome, interleukin-6, tumour necrosis Megabolic alpha, abdokinal plasminogen Meatbolic inhibitor-1, and through exacerbation of insulin resistance and associated cardiometabolic risk factors. The prevalence of abdominal obesity is increasing in western populations, due to a combination of low physical activity and high-energy diets, and also in developing countries, where it is associated with the urbanization of populations. The measurement of waist circumference, together with an additional comorbidity, readily identifies the presence of increased cardiometabolic risk associated with abdominal obesity. Accordingly, measurement of waist circumference should become a standard component of cardiovascular risk evaluation in routine clinical practice. Metabolic syndrome abdominal obesity

Metabolic syndrome abdominal obesity -

Several studies show a strong association between obesity and physical inactivity [ 46 , 47 , 48 ] and that metabolic syndrome is associated with sedentary lifestyle and poor cardiorespiratory fitness [ 49 ]. Sedentary behaviour is widely regarded as activity which involves energy expenditure at the level of 1.

Edwardson et al. conducted a meta-analysis that found that individuals who spend more time in sedentary behaviours have greater odds of having metabolic syndrome [ 50 ].

A longitudinal study observing adults found that improvements in cardiometabolic factors occurred in overweight and obese individuals with increased levels of physical activity, although the participants were those participating in a health screening programme and were therefore probably of a higher economic status.

At follow-up, there was a statistically significant decrease in non-HDL concentrations of 5. Of the parameters observed, non-HDL cholesterol and plasma triglycerides were found to have the largest improvement when physical activity was increased.

A study followed 22, participants, aged 30—64 years, comparing metabolic syndrome risk with intensity level of leisure-time exercise and by occupational and commuting activity [ 53 ]. Leisure-time activity was found to be linearly and inversely associated with a risk of developing metabolic syndrome and vigorous-intensity activity alone or a combination of both moderate- and vigorous-intensity activity was associated with a lower risk of metabolic syndrome.

The introduction of increased physical activity into a previously inactive lifestyle might also break the cycle of inflammation-mediated sickness behaviour as described by Nunn, which suppresses the desire to undertake physical activity [ 30 ].

A systematic review and meta-analysis was conducted by Ostman et al. A total of 16 studies participants were included in the review and it was found that aerobic training produced small improvements in fasting blood glucose, triglycerides and low-density lipoproteins.

Nevertheless, combined with improvements in maximal oxygen uptake and blood pressure, the overall risk profile for patients was much improved. The improvements in waist measurement would suggest that the long-term risks associated with metabolic syndrome were reduced. There are a number of studies which have specifically investigated the effect of exercise on abdominal obesity, irrespective of total body weight and these are summarised in a comprehensive review by Pedersen and Saltin [ 56 ].

Amongst their findings they reported that a cross-sectional study of overweight males showed that those with a high level of fitness as measured by activity and maximal oxygen uptake had lower levels of visceral fat than their unfit counterparts when scanned using magnetic resonance imaging [ 39 ].

Lee et al. investigated the effects of exercise without weight loss on total and abdominal adiposity and skeletal muscle mass and composition in previously sedentary, lean men and in obese men with and without type II diabetes [ 11 ]. It was found that, even in the absence of weight loss, moderate-intensity exercise was associated with significant reductions in total and abdominal fat, and there was a reduction in skeletal muscle lipid content independent of group.

Stewart et al. investigated the effects of exercise on cardiovascular and metabolic disease in older adults and found that reductions in total and abdominal fatness and increase in leanness were strongly associated with reductions in risk factors for cardiovascular disease and diabetes, including those that constitute metabolic syndrome [ 57 ].

conducted a longitudinal study of 32, adults who underwent an abdominal computerised tomography scan as part of health screening and found that the ratio of visceral-to-subcutaneous fat was independently associated with all-cause mortality. This suggests that the location of fat deposits in the abdomen viscera is a better indicator of metabolic risk than total body fat, which is unsurprising given the positive association between abdominal adiposity and systemic inflammation [ 58 ].

A number of reviews have shown that exercise training specifically elicits an anti-inflammatory effect, independent of weight loss [ 33 , 59 , 60 , 61 , 62 ].

Other metabolic benefits of exercise were reported in a study on patients with type II diabetes where pedometer-measured exercise was not only associated with reductions in systemic inflammation, but also reductions in abdominal obesity and arterial stiffness [ 63 ].

One of the mechanisms for the anti-inflammatory effect of exercise is a reduction in adipose tissue hypoxia resulting from improved capillary density blood flow.

In a review by Golbidi [ 24 ] the inverse relationship between exercise, body mass index BMI , hip-waist ratio, and waist circumference was described.

The anti-inflammatory effect of exercise was also explained as being closely related to oxidative stress. Exercise was shown to improve glucose tolerance, insulin resistance and lipid metabolism and reduce blood pressure in both healthy individuals and those with metabolic disease.

Large population cohort studies observed relationships between plasma CRP and the level of exercise that was independent of obesity as measured by body mass index [ 62 , 64 ].

The effect of exercise training on CRP was investigated in a systematic review which considered a total of 83 studies of different types.

It was found that exercise training led to a greater reduction in CRP when accompanied by a decrease in BMI, but that significant reductions in CRP occurred without weight loss [ 65 ]. Furthermore, a Cochrane review provided evidence that exercise improved general health even where no weight was lost because it improved plasma lipoprotein profile [ 66 ].

Not all studies provide evidence that exercise training reduces pro-inflammatory biomarkers. Melo et al. reviewed 11 studies of patients with type II diabetes and found insufficient evidence to determine whether aerobic or resistance exercise improved systemic levels of inflammatory markers [ 67 ].

However, an earlier review by Hayashino et al. found that both CRP and IL-6 were reduced by exercise training [ 68 ]. It is still unclear whether improvements in inflammatory status are independent of weight loss or entirely dependent upon the changes in body composition that result from exercise training [ 61 ].

Nevertheless, Eaton and Eaton observed that the percentage of lean body mass is critical in avoiding the hyperinsulinaemia which predisposes individuals to type II diabetes because a greater insulin secretion is required for any given glucose load where levels of body fat are disproportionate [ 27 ].

This would suggest that strength training that develops lean tissue is critical in the treatment, or prevention, of metabolic disease. There are no specific guidelines on exercise prescription for systemic inflammation although guidance is available in the form of programmes designed to reduce body fat and improve general health status.

The American College of Sports Medicine ACSM recommends — min of moderate-intensity exercise per week as optimal but other authors have suggested between 30 [ 69 ] and 60 [ 70 ] minutes per day would be required.

A systematic review and meta-analysis by Hayashino et al. They found that exercise training with a longer duration and frequency was more effective in reducing systemic inflammation, suggesting that these effects might be dose-dependent. More recently, this idea has been challenged and it is now thought that shorter-duration, higher intensity interval training HIIT is beneficial [ 76 ].

Recent findings suggest that HIIT programmes are effective in reducing metabolic syndrome combined with high adherence rates and this is important because incorporating HIIT programmes into daily life is less disruptive.

Gremeaux, et al. studied the effects of HIIT training on a sample of 62 overweight or obese adults who were above the recommended abdominal obesity threshold. It was found that the prevalence of metabolic syndrome was reduced by The metabolic and vascular effects of these three different regimens were studied and improvements were observed in various measures including BMI, waist measurement, glucose metabolism, insulin resistance and lipid profiles.

Zhang et al. also found that high intensity interval training was better than continuous moderate aerobic training in reducing abdominal visceral fat in obese young women [ 78 ].

Similar findings from other studies support the benefit of high-intensity interval training performed in short, high-intensity bursts, involving as little as 10 min of activity at a time, and this might promote better adherence in non-habitual exercisers [ 79 , 80 , 81 ].

A further study of adults found that consistent moderate to vigorous activity was more important than exercise volume in reducing CRP levels associated with systemic inflammation [ 82 ]. A systematic review by Cronin et al. found that greater reductions in inflammatory biomarkers occurred in older healthy inactive participants when higher intensity aerobic exercise was undertaken [ 83 ].

A review by Zdziarski et al. found that largest reductions in systemic inflammation and improvements in well-being, depression and sleep was achieved using multi-modal exercise aerobic and resistance training in individuals with inflammation-related chronic pain [ 84 ].

This is important because it is likely that individuals in a pro-inflammatory state due to abdominal adiposopathy may also be susceptible to chronic pain conditions. Dutheil et al. reported that high resistance-moderate endurance training was efficient in improving visceral fat loss in healthy adults [ 85 ].

If changes in body composition are more important than total body weight loss then resistance training combined with aerobic exercise would produce optimal effects in increasing percentage lean body mass [ 27 ].

One of the major challenges in using programmes of exercise to improve health status is promoting and maintaining adherence in individuals who have often been inactive for many years and who may be overweight or obese [ 86 ]. To promote adherence Clauw and Crofford suggested that additional activity is incorporated very gradually — as little as 5 min daily [ 88 ] although the programme needs to be tailored to the individual whilst aiming to deliver optimal effects [ 84 ].

As discussed above, the recent findings that HIIT programmes are effective in reducing metabolic syndrome combined with high adherence rates is significant because incorporating it into daily life is less disruptive. Connelly et al. conducted a review to assess the effectiveness of technology to promote physical activity in people with Type 2 diabetes and found that the use of technology-based interventions, such as mobile phone applications, texts and email support, improves compliance [ 89 ].

In summary, evidence suggests that optimal abdominal fat reduction and the development of lean tissue is achieved by combining high-intensity interval training and resistance training with an overall general increase in daily physical activity. An increasingly sedentary lifestyle, a lack of regular exercise and an increase in obesity have been the main contributors to a rise in the incidence of metabolic dysfunction, particularly in the developed world.

Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; world heart federation; international atherosclerosis society; and International Association for the Study of obesity.

Article CAS PubMed Google Scholar. Shin J-A, Lee J-H, Lim S-Y, Ha H-S, Kwon H-S, Park Y-M, et al. Metabolic syndrome as a predictor of type 2 diabetes, and its clinical interpretations and usefulness.

Journal Of Diabetes Investigation. Article CAS PubMed PubMed Central Google Scholar. Park Y-W, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the third National Health and nutrition examination survey, Arch Intern Med.

Article PubMed PubMed Central Google Scholar. Fujita T. Insulin resistance and salt-sensitive hypertension in metabolic syndrome. Nephrol Dial Transplant. Obesity and overweight. In: Factsheet: WHO; Accessed September Pedersen BK, Saltin B. Exercise as medicine — evidence for prescribing exercise as therapy in 26 different chronic diseases.

Scand J Med Sci Sports. Article PubMed Google Scholar. Björntorp P. Metabolic implications of body fat distribution. Diabetes Care. Ruderman NB, Schneider SH, Berchtold P. The "metabolically-obese," normal-weight individual. Am J Clin Nutr. Cardinal BJ, Park EA, Kim M, Cardinal MK. If exercise is medicine, where is exercise in medicine?

Review of U. medical education curricula for physical activity-related content. J Phys Act Health. Davidson LE, Hudson R, Kilpatrick K, Kuk JL, McMillan K, Janiszewski PM, et al. Effects of exercise modality on insulin resistance and functional limitation in older adults: a randomized controlled trial.

Lee S, Kuk JL, Davidson LE, Hudson R, Kilpatrick K, Graham TE, et al. Exercise without weight loss is an effective strategy for obesity reduction in obese individuals with and without Type 2 diabetes.

J Appl Physiol Article Google Scholar. Després J-P, Lemieux I, Bergeron J, Pibarot P, Mathieu P, Larose E, et al. Abdominal obesity and the metabolic syndrome: contribution to global cardiometabolic risk. Arterioscler Thromb Vasc Biol.

Ritchie SA, Connell JMC. The link between abdominal obesity, metabolic syndrome and cardiovascular disease. Nutr Metab Cardiovasc Dis. Swisher AK. but It Is So Much More. Cardiopulm Phys Ther J. Google Scholar. Exercise is Medicine EIM. American College of Sports Medicine. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al.

American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise.

Med Sci Sports Exerc. Sironi AM, Gastaldelli A, Mari A, Ciociaro D, Postano V, Buzzigoli E, et al. Visceral fat in hypertension. Influence on Insulin Resistance and β-Cell Function.

CAS Google Scholar. Brooks GC, Blaha MJ, Blumenthal RS. Relation of C-reactive protein to abdominal adiposity. Am J Cardiol. Emerging role of adipose tissue hypoxia in obesity and insulin resistance. Int J Obes Article CAS Google Scholar. Ryan AS, Ge S, Blumenthal JB, Serra MC, Prior SJ, Goldberg AP.

Aerobic exercise and weight loss reduce vascular markers of inflammation and improve insulin sensitivity in obese women. J Am Geriatr Soc. Huth C, Pigeon É, Riou M-È, St-Onge J, Arguin H, Couillard E, et al.

Fitness, adiposopathy, and adiposity are independent predictors of insulin sensitivity in middle-aged men without diabetes. J Physiol Biochem. Ellulu MS, Khaza'ai H, Rahmat A, Patimah I, Abed Y. Obesity can predict and promote systemic inflammation in healthy adults.

Int J Cardiol. Das UN. Is obesity an inflammatory condition. Nutrition Burbank, Los Angeles County, Calif. Golbidi S, Mesdaghinia A, Laher I.

Exercise in the metabolic syndrome. Oxidative Med Cell Longev. Guarner V, Rubio-Ruiz ME. Low-grade systemic inflammation connects aging, metabolic syndrome and cardiovascular disease. Interdiscip Top Gerontol. Marsland AL, McCaffery JM, Muldoon MF, Manuck SB. Systemic inflammation and the metabolic syndrome among middle-aged community volunteers.

Metab Clin Exp. Eaton SB, Eaton SB. Physical inactivity, obesity, and type 2 diabetes: an evolutionary perspective. Res Q Exerc Sport. Esposito K, Nappo F, Marfella R, Giugliano G, Giugliano F, Ciotola M, et al.

Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress. Dantzer R, O'Connor JC, Freund GG, Johnson RW, Kelley KW.

From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci. Nunn AV, Guy GW, Brodie JS, Bell JD.

Inflammatory modulation of exercise salience: using hormesis to return to a healthy lifestyle. Nutr Metab Lond. Romero-Corral A, Caples SM, Lopez-Jimenez F, Somers VK. Interactions between obesity and obstructive sleep apnea: implications for treatment.

Ye J, Gao Z, Yin J, He Q. Am J Physiol Endocrinol Metab. You T, Arsenis NC, Disanzo BL, Lamonte MJ. Program of the 85th Annual Meeting of The Endocrine Society, Philadelphia, PA, , p Abstact P Wajchenberg BL Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome.

Endocr Rev 21 : — Perusse L , Despres JP , Lemieux S , Rice T , Rao DC , Bouchard C Familial aggregation of abdominal visceral fat level: results from the Quebec family study. Metabolism 45 : — Fujimoto WY The growing prevalence of non-insulin-dependent diabetes in migrant Asian populations and its implications for Asia.

Diabetes Res Clin Pract 15 : — The Insulin Resistance Atherosclerosis Study. Diabetes 45 : — Marsh JB Lipoprotein metabolism in obesity and diabetes: insights from stable isotope kinetic studies in humans. Nutr Rev 61 : — McNamara J , Campos H , Ordovas J , Peterson J , Wilson P , Schaefer E Effect of gender, age, and lipid status on low density lipoprotein subfraction distribution.

Results of the Framingham Offspring Study. Arteriosclerosis 7 : — Arteriosclerosis 9 : — Austin MA , King MC , Vranizan KM , Krauss RM Atherogenic lipoprotein phenotype.

A proposed genetic marker for coronary heart disease risk. Circulation 82 : — Austin M , Breslow J , Hennekens C , Buring J , Willett W , Krauss, R Low-density lipoprotein subclass patterns and risk of myocardial infarction.

Stampfer MJ , Krauss RM , Ma J , Blanche PJ , Holl LG , Sacks, FM , Hennekens CH A prospective study of triglyceride level, low-density lipoprotein particle diameter, and risk of myocardial infarction. Lamarche B , Tchernof A , Moorjani S , Camtin B , Dagenais G , Lupien P , Despres J-P Small, dense low-density lipoprotein particles as a predictor of risk of ischemic heart disease in men: prospective results from the Quebec Cardiovascular Study.

Circulation 95 : 69 — Tornvall P , Karpe F , Carlson L , Hamsten A Relationship of low density lipoprotein subfractions to angiographically defined coronary artery disease in young survivors of myocardial infarction.

Atherosclerosis 90 : 67 — Campos H , Genest JJ , Blijlevens E , McNamara JR , Jenner JL , Ordovas JM , Wilson PW , Schaefer EJ Low density lipoprotein particle size and coronary artery disease. Arterioscler Thromb 12 : — Gardner CD , Fortmann SP , Krauss RM Association of small low-density lipoprotein particles with the incidence of coronary artery disease in men and women.

Zambon A , Hokanson JE , Brown BG , Brunzell JD Evidence for a new pathophysiological mechanism for coronary artery disease regression: hepatic lipase-mediated changes in LDL density.

Circulation 99 : — Bjornheden T , Babyi A , Bondjers G , Wiklund O Accumulation of lipoprotein fractions and subfractions in the arterial wall, determined in an in vitro perfusion system.

Atherosclerosis : 43 — Hurt-Camejo E , Camejo G , Rosengren B , Lopez F , Wiklund, O , Bondjers G Differential uptake of proteoglycan-selected subfractions of low density lipoprotein by human macrophages. J Lipid Res 31 : — Chait A , Brazg R , Tribble D , Krauss R Susceptibility of small, dense, low-density lipoproteins to oxidative modification in subjects with the atherogenic lipoprotein phenotype, pattern B.

Tribble DL , Rizzo M , Chait A , Lewis DM , Blanche PJ , Krauss RM Enhanced oxidative susceptibility and reduced antioxidant content of metabolic precursors of small, dense low-density lipoproteins.

Am J Med : — Santamarina-Fojo S , Haudenschild C , Amar M The role of hepatic lipase in lipoprotein metabolism and atherosclerosis. Curr Opin Lipidol 9 : — Eschwege E , Richard JL , Thibult N , Ducimetiere P , Warnet JM , Claude JR , Rosselin GE Coronary heart disease mortality in relation with diabetes, blood glucose and plasma insulin levels.

The Paris Prospective Study, ten years later. Horm Metab Res 15 Suppl : 41 — Despres JP , Moorjani S , Lupien PJ , Tremblay A , Nadeau A , Bouchard C Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease.

Arteriosclerosis 10 : — Isomaa B , Almgren P , Tuomi T , Forsen B , Lahti K , Nissen M , Taskinen MR , Groop L Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care 24 : — Lakka HM , Laaksonen DE , Lakka TA , Niskanen LK , Kumpusalo E , Tuomilehto J , Salonen JT The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men.

Ford ES , Giles WH , Dietz WH Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey.

Park YW , Zhu S , Palaniappan L , Heshka S , Carnethon MR , Heymsfield SB The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, — Arch Intern Med : — Alexander CM , Landsman PB , Teutsch SM , Haffner SM NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older.

Diabetes 52 : — Mosca L , Appel LJ , Benjamin EJ , Berra K , Chandra-Strobos N , Fabunmi RP , Grady D , Haan CK , Hayes SN , Judelson DR , Keenan NL , McBride P , Oparil S , Ouyang P , Oz MC , Mendelsohn ME , Pasternak RC , Pinn VW , Robertson RM , Schenck-Gustafsson K , Sila CA , Smith Jr SC , Sopko G , Taylor AL , Walsh BW , Wenger NK , Williams CL Evidence-based guidelines for cardiovascular disease prevention in women.

Circulation : — Genest JJ , McNamara JR , Salem DN , Schaefer EJ Prevalence of risk factors in men with premature coronary artery disease. Am J Cardiol 67 : — Am J Cardiol 93 : — Lamarche B , Moorjani S , Lupien PJ , Cantin B , Bernard PM , Dagenais GR , Despres JP Apolipoprotein A-I and B levels and the risk of ischemic heart disease during a five-year follow-up of men in the Quebec cardiovascular study.

Circulation 94 : — Reardon MF , Nestel PJ , Craig IH , Harper RW Lipoprotein predictors of the severity of coronary artery disease in men and women. Circulation 71 : — Walldius G , Jungner I , Holme I , Aastveit AH , Kolar W , Steiner E High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction AMORIS study : a prospective study.

Lancet : — Sniderman AD , Scantlebury T and Cianflone K Hypertriglyceridemic hyperapob: the unappreciated atherogenic dyslipoproteinemia in type 2 diabetes mellitus. Ann Intern Med : — Bonora E , Kiechl S , Willeit J , Oberhollenzer F , Egger G , Bonadonna RC , Muggeo M Metabolic syndrome: epidemiology and more extensive phenotypic description.

Cross-sectional data from the Bruneck Study. Int J Obes Relat Metab Disord 27 : — Haffner SM Dyslipidemia management in adults with diabetes. Diabetes Care 27 Suppl 1 : S68 — S Hopkins PN , Heiss G , Ellison RC , Province MA , Pankow JS , Eckfeldt JH , Hunt SC Coronary artery disease risk in familial combined hyperlipidemia and familial hypertriglyceridemia: a case-control comparison from the National Heart, Lung, and Blood Institute Family Heart Study.

Goldstein JL , Schrott HG , Hazzard WR , Bierman EL , Motulsky AG Hyperlipidemia in coronary heart disease. Genetic analysis of lipid levels in families and delineation of a new inherited disorder, combined hyperlipidemia.

J Clin Invest 52 : — Nikkila EA , Aro A Family study of serum lipids and lipoproteins in coronary heart-disease. Lancet 1 : — Castro Cabezas M , de Bruin TW , Erkelens DW Familial combined hyperlipidaemia: — Austin MA , McKnight B , Edwards KL , Bradley CM , McNeely MJ , Psaty BM , Brunzell JD , Motulsky, AG Cardiovascular disease mortality in familial forms of hypertriglyceridemia: A year prospective study.

Voors-Pette C , de Bruin TW Excess coronary heart disease in familial combined hyperlipidemia, in relation to genetic factors and central obesity.

Atherosclerosis : — Rose HG , Kranz P , Weinstock M , Juliano J , Haft JI Inheritance of combined hyperlipoproteinemia: evidence for a new lipoprotein phenotype.

Brunzell JD , Schrott HG , Motulsky AG , Bierman EL Myocardial infarction in the familial forms of hypertriglyceridemia. Metabolism 25 : — Genest Jr JJ , Martin-Munley SS , McNamara JR , Ordovas JM , Jenner J , Myers RH , Silberman SR , Wilson PW , Salem DN , Schaefer, EJ Familial lipoprotein disorders in patients with premature coronary artery disease.

Circulation 85 : — Chait A , Albers JJ , Brunzell JD Very low density lipoprotein overproduction in genetic forms of hypertriglyceridaemia. Eur J Clin Invest 10 : 17 — Kissebah AH , Alfarsi S , Adams PW Integrated regulation of very low density lipoprotein triglyceride and apolipoprotein-B kinetics in man: normolipemic subjects, familial hypertriglyceridemia and familial combined hyperlipidemia.

Metabolism 30 : — Brunzell JD , Albers JJ , Chait A , Grundy SM , Groszek E , McDonald GB Plasma lipoproteins in familial combined hyperlipidemia and monogenic familial hypertriglyceridemia. J Lipid Res 24 : — Ayyobi AF , McGladdery SH , McNeely MJ , Austin MA , Motulsky AG , Brunzell JD Small, dense LDL and elevated apolipoprotein B are the common characteristics for the three major lipid phenotypes of familial combined hyperlipidemia.

Arterioscler Thromb Vasc Biol 23 : — Veerkamp MJ , de Graaf J , Bredie SJ , Hendriks JC , Demacker PN , Stalenhoef AF Diagnosis of familial combined hyperlipidemia based on lipid phenotype expression in 32 families: results of a 5-year follow-up study.

Arterioscler Thromb Vasc Biol 22 : — Purnell JQ , Kahn SE , Schwartz RS , Brunzell JD Relationship of insulin sensitivity and ApoB levels to intra-abdominal fat in subjects with familial combined hyperlipidemia.

Arterioscler Thromb Vasc Biol 21 : — Bredie SJ , Tack CJ , Smits P , Stalenhoef AF Nonobese patients with familial combined hyperlipidemia are insulin resistant compared with their nonaffected relatives. Arterioscler Thromb Vasc Biol 17 : — Keulen ET , Voors-Pette C , de Bruin TW Familial dyslipidemic hypertension syndrome: familial combined hyperlipidemia, and the role of abdominal fat mass.

Am J Hypertens 14 : — Keulen ET , Kruijshoop M , Schaper NC , Hoeks AP , de Bruin TW Increased intima-media thickness in familial combined hyperlipidemia associated with apolipoprotein B. Jarvik GP , Brunzell JD , Austin MA , Krauss RM , Motulsky AG , Wijsman E Genetic predictors of FCHL in four large pedigrees.

Influence of ApoB level major locus predicted genotype and LDL subclass phenotype. Arterioscler Thromb 14 : — Bachorik PS , Lovejoy KL , Carroll MD , Johnson CL Apolipoprotein B and AI distributions in the United States, — results of the National Health and Nutrition Examination Survey III NHANES III.

Clin Chem 43 : — Moss AJ , Goldstein RE , Marder VJ , Sparks CE , Oakes D , Greenberg H , Weiss HJ , Zareba W , Brown MW , Liang CS , Lichstein E , Little WC , Gillespie JA , Van Voorhees L , Krone RJ , Bodenheimer MM , Hochman J , Dwyer Jr EM , Arora R , Marcus FI , Watelet LF , Case RB Thrombogenic factors and recurrent coronary events.

Talmud PJ , Hawe E , Miller GJ , Humphries SE Nonfasting apolipoprotein B and triglyceride levels as a useful predictor of coronary heart disease risk in middle-aged UK men. Grundy SM Non-high-density lipoprotein cholesterol level as potential risk predictor and therapy target.

Ginsberg HN Treatment for patients with the metabolic syndrome. Am J Cardiol 91 : 29 E—39E. Lancet : 7 — Sniderman AD , Furberg CD , Keech A , Roeters van Lennep JE , Frohlich J , Jungner I , Walldius G Apolipoproteins versus lipids as indices of coronary risk and as targets for statin treatment.

Meyers CD , Carr MC , Park S , Brunzell JD Varying cost and free nicotinic acid content in over-the-counter niacin preparations for dyslipidemia. Elam MB , Hunninghake DB , Davis KB , Garg R , Johnson C , Egan D , Kostis JB , Sheps DS , Brinton EA Effect of niacin on lipid and lipoprotein levels and glycemic control in patients with diabetes and peripheral arterial disease: the ADMIT study: a randomized trial.

Arterial Disease Multiple Intervention Trial. Grundy SM , Vega GL , McGovern ME , Tulloch BR , Kendall DM , Fitz-Patrick D , Ganda OP , Rosenson RS , Buse JB , Robertson DD , Sheehan JP Efficacy, safety, and tolerability of once-daily niacin for the treatment of dyslipidemia associated with type 2 diabetes: results of the assessment of diabetes control and evaluation of the efficacy of niaspan trial.

Zhao XQ , Morse JS , Dowdy AA , Heise N , DeAngelis D , Frohlich J , Chait A , Albers JJ , Brown BG Safety and tolerability of simvastatin plus niacin in patients with coronary artery disease and low high-density lipoprotein cholesterol The HDL Atherosclerosis Treatment Study.

Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide. Sign In or Create an Account. Endocrine Society Journals. Advanced Search. Search Menu. Article Navigation.

Close mobile search navigation Article Navigation. Volume Article Contents Abstract. Link between abdominal obesity and metabolic abnormalities. Dyslipidemia of abdominal adiposity.

Prevalence and risk of the metabolic syndrome. Metabolic syndrome: targeting high risk patients. Importantly, intra-abdominal adiposity appears to interact with other cardiometabolic risk factors to adversely influence overall cardiometabolic risk.

An analysis from the Québec Health Survey stratified subjects for BMI and then for waist circumference and studied the relationships between indices of obesity, hyperinsulinaemia, and blood pressure in the resulting subgroups.

In another study, stratification of men for FPG revealed no significant association between the presence of impaired fasting glucose IFG FPG 6. Thus, it appears important in clinical practice to consider additional risk factors, such as abdominal obesity and TG, when evaluating the importance of dysglycaemia as a cardiovascular risk factor.

It should be noted, however, that the relationship between abdominal obesity and insulin resistance is influenced by genetic factors. South Asians, for example, tend to display insulin resistance at all levels of abdominal obesity and these subjects will develop type 2 diabetes or coronary heart disease CHD at lower levels of obesity than other populations.

Excess intra-abdominal adiposity has the potential to influence metabolism and cardiometabolic risk directly, through alterations in the secretion of adipokines Table 1. Abdominal obesity promotes increased secretion of a range of metabolites and of biologically active substances, including glycerol, free fatty acids FFA , inflammatory mediators [e.

tumour necrosis factor alpha TNFα and interleukin-6 IL-6 ], plasminogen activator inhibitor-1 PAI-1 , and C-reactive protein. Acute exposure of skeletal muscle to elevated levels of FFA induces insulin resistance, 37 whereas chronic exposure of the pancreas to elevated FFA impairs β-cell function.

lowest tertile after correction for non-lipid risk factors, although further multivariate adjustment for lipid parameters and insulin weakened the association.

Leptin is an adipokine involved in the regulation of satiety and energy intake. However, the plasma concentration of leptin is not determined primarily by the amount of visceral fat present and correlates more strongly with subcutaneous adiposity.

Atherosclerosis has been shown to have an inflammatory component, 42 and pro-inflammatory adipokines may be important mediators of atherogenesis in abdominally obese subjects. TNFα is a paracrine mediator in adipocytes and appears to act locally to reduce the insulin sensitivity of adipocytes.

IL-6 is a systemic adipokine, which not only impairs insulin sensitivity, but is also a major determinant of hepatic production of C-reactive protein, 45 the most important source of this inflammatory marker.

A study in 16 well-controlled type 2 diabetes patients showed that circulating levels of IL-6 correlate strongly with VFA, quantified by magnetic resonance imaging. However, the correlation with intra-abdominal adiposity was attenuated on multivariate analysis, when levels of the inflammatory markers were included, whereas the relationship between carotid stiffness and IL-6 remained strong.

Thus, intra-abdominal adipocyte-derived IL-6 could be involved in the accelerated atherosclerosis of type 2 diabetic patients. The prognostic importance of IL-6 for cardiovascular outcomes was studied in a cohort of men, free of ischaemic heart disease at baseline and followed for 13 years, in the Québec Cardiovascular Study.

Circulating levels of C-reactive protein are elevated in subjects with abdominal obesity, and conversely, subjects with elevated C-reactive protein tend to have intra-abdominal adiposity Figure 2.

PAI-1 is secreted from intra-abdominal adipocytes, although mainly from platelets and the vascular endothelium. Plasma adiponectin levels have been shown to be inversely proportional to the severity of intra-abdominal adiposity. These data confirm the dependence of adiponectin levels on intra-abdominal adiposity, rather than on obesity per se.

Indeed, intra-abdominal adiposity was the only independent predictor of adiponectin levels in this study. Adiponectin has been shown to have many favourable metabolic properties.

For instance, it improves insulin sensitivity and glycaemic control, 52 , 53 and levels of this adipokine correlate positively with levels of HDL-cholesterol and inversely with TG or PAI The strong relationships between abdominal obesity, insulin resistance, and cardiometabolic risk factors, described above, are suggestive of an important role for intra-abdominal adiposity in the pathogenesis of cardiovascular disease.

A link between abdominal obesity and increased cardiometabolic risk was suggested almost six decades ago by Vague as well as in two elegant early epidemiological studies that investigated the links between occupational physical activity, adiposity, and outcomes.

Specifically, bus drivers and bus conductors in London, UK, were studied. The drivers had an almost completely sedentary occupation, whereas conductors were more active, as they needed to walk around the upper and lower decks of buses to collect fares and issue tickets.

A markedly higher incidence of early 3 months mortality following a first CHD event had been observed among the sedentary drivers Figure 4 , right panel. A few years later, a study set out to investigate whether differences in the body shape between these groups, using available records of uniform sizes, might explain the difference in outcomes.

This study demonstrated a clear difference in the waist circumference of drivers' uniform trousers, which was indicative of upper body obesity and suggestive of abdominal obesity Figure 4 , left panel.

The five decades of clinical research undertaken since this pioneering study have confirmed the prognostic importance of abdominal obesity.

Importantly, some of these studies have demonstrated the adverse prognosis associated with abdominal obesity, independently of BMI. BMI did not predict significantly the development of major coronary events in a retrospective cohort study in patients undergoing coronary angiography after adjustment for standard cardiometabolic risk factors and abdominal obesity Table 2.

There is no doubt that measurement of waist circumference adds clinically significant prognostic information to BMI measurement relating to the risk of developing cardiovascular disease.

The evidence reviewed above shows that abdominal obesity is closely involved in the development of multiple cardiometabolic risk factors, including those associated with the metabolic syndrome.

The large and growing abdominally obese population includes a substantial number of patients who are at increased risk of adverse cardiometabolic outcomes. In this regard, the NCEP-ATP III guidelines emphasized that the most prevalent form of the metabolic syndrome that physicians will encounter is associated with abdominal obesity.

For example, a triad of non-traditional cardiometabolic risk factors, elevated apolipoprotein B ApoB , fasting hyperinsulinaemia, and small, dense LDL conferred a five-fold elevation in the risk of developing ischaemic heart disease, after adjustment for other lipid parameters, compared with subjects with not more than one of these risk factors, in a 5-year prospective case—control analysis of the Québec Cardiovascular Study.

However, the above elements of the atherogenic triad are not measured in routine clinical practice, and a more practicable means of identifying this high-risk subgroup is required. The utility of hypertriglyceridaemic waist was determined in a study in men without symptoms of cardiovascular disease stratified for different values of TG and waist circumference.

Thus, measurement of waist circumference and TG, two simple clinical measurements suitable for routine clinical use, clearly identifies a high proportion of a subgroup of individuals at markedly elevated cardiometabolic risk. When managing the prevalent form of the metabolic syndrome, NCEP-ATP III recommend to treat abdominal obesity and its associated insulin resistance first, as these are root causes of the overall elevation of cardiometabolic risk.

Current management guidelines support the use of lifestyle interventions diet and exercise , as this strategy has the potential to improve all cardiometabolic risk factors. However, lifestyle modifications are often unsuccessful, due in part to insufficient patient compliance with these regimens to induce long-term weight loss and maintenance.

Under such circumstances, pharmacotherapy can be justified to manage elevated cardiometabolic risk. Recent research has identified overactivity of the endocannabinoid system, acting via the CB 1 receptor, as an important factor in the pathogenesis of cardiometabolic risk.

Table 3 shows the effects of rimonabant on key cardiometabolic risk factors in two of these trials, RIO-Europe 62 and RIO-Lipids. Importantly, statistical analysis showed that about half of the improvements in HDL-cholesterol and triglyceride levels were independent of weight loss, consistent with a direct action of rimonabant on cardiometabolic risk.

Rimonabant was generally well tolerated. A growing database of clinical evidence implicates intra-abdominal adiposity as a powerful driving force for elevated cardiometabolic risk.

This association appears to arise directly, via secretion of adipokines, and indirectly, through promotion of insulin resistance. Addressing intra-abdominal adiposity should play a central role in future strategies aimed at improving cardiovascular outcomes in patients with abdominal obesity and its associated cardiometabolic risk factors.

Conflict of interest : J. has received consulting or lecture fees from Abbott Laboratories, AstraZeneca, Fournier Pharma, GlaxoSmithKline, Merck, Pfizer, Pharmacia, and sanofi-aventis and grant support from Fournier Pharma, GlaxoSmithKline, Merck, Pfizer, and sanofi-aventis.

is Scientific Director of the International Chair on Cardiometabolic Risk which is supported by an unrestricted grant awarded to Université Laval by sanofi-aventis. CT scans from two subjects with comparable BMI illustrating adiposity phenotypes characterized mainly by intra-abdominal adiposity top panels and subcutaneous adiposity bottom panels.

Subcutaneous fat is shown in black under the skin, and visceral fat area VFA in white. Scans were made at the L4-L5 level. Reproduced with permission from Tchernof A, Després JP. Obesity and lipoprotein metabolism. In: Kopelman PG, ed.

Clinical Obesity , UK: Blackwell Science Ltd; Association of intra-abdominal adiposity VFA on CT scans with elevated C-reactive protein. asterisk quintile 1; dagger quintile 2; double dagger quintile 3. Reproduced with permission from Lemieux et al.

Plasma adiponectin levels in healthy non-obese controls and in obese men with either low or high levels of visceral fat area VFA. Data are from a study of 39 non-obese men and two groups of 15 obese men stratified for VFA measured using CT scanning. Reproduced with permission from Cote et al.

Associations between occupational physical activity, obesity, and mortality in the 3 months following a first CHD event in transport workers in London, UK. is equivalent to Between 58 and men were studied for each age group in either occupation.

Mortality data are standardized mortality rates for individuals aged 35—64 for years — Drawn from data presented by Morris et al.

Prognostic value of high waist circumference beyond BMI: data from an analysis of patients undergoing coronary angiography. For BMI, data shown are standardized odds ratios adjusted for age, gender, smoking and total cholesterol. Similar adjustments were made for waist circumference including adjustment for BMI.

Prevalence of an atherogenic triad of elevated ApoB, fasting hyperinsulinaemia, and small, dense LDL according to the TG and waist circumference. Gorter PM, Olijhoek JK, van der Graaf Y, Algra A, Rabelink TJ, Visseren FL. Prevalence of the metabolic syndrome in patients with coronary heart disease, cerebrovascular disease, peripheral arterial disease or abdominal aortic aneurysm.

Atherosclerosis ; : — Sonmez K, Akcakoyun M, Akcay A, Demir D, Duran NE, Gencbay M, Degertekin M, Turan F. Which method should be used to determine the obesity, in patients with coronary artery disease? body mass index, waist circumference or waist-hip ratio.

Int J Obes ; 27 : — Obesity and the risk of myocardial infarction in 27, participants from 52 countries: a case—control study. Lancet ; : — Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L.

Hoefle G, Saely CH, Aczel S, Benzer W, Marte T, Langer P, Drexel H. Impact of total and central obesity on vascular mortality in patients undergoing coronary angiography. Int J Obes ; 29 : — Han TS, Williams K, Sattar N, Hunt KJ, Lean MEJ, Haffner SM. Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: San Antonio Heart Study.

Obes Res ; 10 : — Rexrode KM, Carey VJ, Hennekens CH, Walters EE, Colditz GA, Stampfer MJ, Willett WC, Manson JE.

Abdominal adiposity and coronary heart disease in women. JAMA ; : — Empana JP, Ducimetiere P, Charles MA, Jouven X. Sagittal abdominal diameter and risk of sudden death in asymptomatic middle-aged men: the Paris Prospective Study I. Circulation ; : — Kim SK, Kim HJ, Hur KY, Choi SH, Ahn CW, Lim SK, Kim KR, Lee HC, Huh KB, Cha BS.

Visceral fat thickness measured by ultrasonography can estimate not only visceral obesity but also risks of cardiovascular and metabolic diseases. Am J Clin Nutr ; 79 : — Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men.

Am J Clin Nutr ; 81 : — Carey VJ, Walters EE, Colditz GA, Solomon CG, Willett WC, Rosner BA, Speizer FE, Manson JE. Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women.

The Nurses' Health Study. Am J Epidemiol ; : — Poirier P, Lemieux I, Mauriege P, Dewailly E, Blanchet C, Bergeron J, Despres JP. Impact of waist circumference on the relationship between blood pressure and insulin: the Quebec Health Survey.

Hypertension ; 45 : — St-Pierre J, Lemieux I, Vohl MC, Perron P, Tremblay G, Despres JP, Gaudet D. Contribution of abdominal obesity and hypertriglyceridemia to impaired fasting glucose and coronary artery disease.

Am J Cardiol ; 90 : 15 — Kobayashi K. Adipokines: therapeutic targets for metabolic syndrome. Curr Drug Targets ; 6 : — Wajchenberg BL. Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr Rev ; 21 : — Ford ES, Mokdad AH, Giles WH.

BMC Alleviates microbial threats Science, Medicine abdominql Rehabilitation volume 10Article number: Effective cholesterol management techniques Cite this article. Metrics details. Metabolic syndrome is defined as a cluster boesity at least three Metaboolic of Quench natural thirst quencher clinical risk factors: abdominal visceral obesity, syhdrome, elevated serum triglycerides, low serum high-density lipoprotein Synvrome and insulin resistance. Evidence shows that regular and consistent exercise reduces abdominal obesity and results in favourable changes in body composition. It has therefore been suggested that exercise is a medicine in its own right and should be prescribed as such. This review provides a summary of the current evidence on the pathophysiology of dysfunctional adipose tissue adiposopathy. It describes the relationship of adiposopathy to metabolic syndrome and how exercise may mediate these processes, and evaluates current evidence on the clinical efficacy of exercise in the management of abdominal obesity.

Author: Zut

4 thoughts on “Metabolic syndrome abdominal obesity

Leave a comment

Yours email will be published. Important fields a marked *

Design by ThemesDNA.com