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Android vs gynoid fat distribution impact on cardiovascular health

Android vs gynoid fat distribution impact on cardiovascular health

Energizing plant extract Issue. Nutr Relaxation exercises for anxiety ; 3 : e Gonnelli Distribuyion, Caffarelli Impzct, Tanzilli L, I,pact C, Tomai Pitinca MD, Distribufion S, et Relaxation exercises for anxiety. Overall, participants were included in this study. Camilleri G, Kiani AK, Herbst KL, Kaftalli J, Bernini A, Dhuli K, et al. To account for the unequal probability of selection, oversampling and nonresponse, the appropriate sample weights, strata and cluster variables were utilized. Thus, the android fat distribution of men is about Android vs gynoid fat distribution impact on cardiovascular health

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Android Vs Gynoid Obesity

Android vs gynoid fat distribution impact on cardiovascular health -

It is important to note that people should achieve weight loss through healthy and sustainable methods. Crash dieting or extreme weight loss methods can be harmful.

A safe and effective rate of weight loss is typically around 1—2 pounds per week, which people can achieve through a combination of a healthy diet and regular exercise. Consulting with a healthcare professional, such as a registered dietitian or a personal trainer, can also help a person develop a safe and effective individualized weight loss plan.

Gynoid obesity and android obesity are two different types of obesity featuring different body fat distribution patterns. Android obesity features an excess accumulation of fat in the upper part of the body, particularly in the abdomen and chest.

A article notes that females tend to be more prone to gynoid obesity due to the presence of estrogen, which promotes fat deposition in the lower body. Males, on the other hand, tend to be more prone to android obesity due to the presence of testosterone , which promotes fat deposition in the upper body.

However, doctors generally consider android obesity to be more harmful than gynoid obesity because excess abdominal fat can be more metabolically active and release hormones that increase inflammation and insulin resistance. This may contribute to the development of health problems such as type 2 diabetes, cardiovascular disease, and certain types of cancer.

Apple-shaped obesity refers specifically to android obesity , which involves an excess accumulation of fat in the upper part of the body, particularly in the abdomen and chest. The android-gynoid ratio is the ratio of the circumference of the waist to the circumference of the hips.

Doctors use it as a measure of body fat distribution and to determine whether an individual has an apple-shaped body or a pear-shaped body. Android obesity involves the accumulation of fat in the upper part of the body, primarily in the abdomen and chest.

Both types of obesity can increase the risk of medical conditions, such as cardiovascular disease. A new study that used data from countries concludes that consuming more rice could reduce global obesity. However, significant questions remain.

Obesity can affect nearly every part of the body. It can also increase a person's risk of many other health conditions. Learn more here.

There are several ways to measure body weight and composition. Learn how to tell if you have overweight with these tests, including BMI. Phentermine, a weight loss drug, is not safe to take during pregnancy. People pregnant, or trying to get pregnant, should stop using the drug….

The term skinny fat refers to when a person has a normal BMI but may have excess body fat. This can increase the risk of conditions such as diabetes…. My podcast changed me Can 'biological race' explain disparities in health?

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Medical News Today. Health Conditions Health Products Discover Tools Connect. What to know about gynoid obesity. Medically reviewed by Alana Biggers, M. Causes Health risks Treatment Vs. A note about sex and gender Sex and gender exist on spectrums.

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We thank the OBB participants and the research team. SKV is funded by Throne Holst foundation, Sweden. The Oxford Biobank Cohort is supported by the NIHR Oxford Biomedical Research Centre, Obesity, Diet and Lifestyle Theme. SKV designed the study, interpreted and analysed the data, and wrote the manuscript.

SKV, CO, CDG and DC analysed the data and interpreted the results. MN and SH were involved in data collection, interpretation of the data.

CC and CF reviewed and edited the manuscript. FK designed the study, interpreted the data, involved in data interpretation, manuscript preparation and approved the final version of the manuscript.

FK is the guarantor of this work. Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK. MRC Life-course Epidemiology Unit, University of Southampton, Southampton, UK. Nuffield Department of Population Health, University of Oxford, Oxford, UK.

NIHR Oxford Biomedical Centre, Oxford University Hospital Trust and University of Oxford, Oxford, UK. You can also search for this author in PubMed Google Scholar. Correspondence to F Karpe. Supplementary Information accompanies this paper on International Journal of Obesity website.

This article is licensed under a Creative Commons Attribution 4. Reprints and permissions. Vasan, S. et al. Comparison of regional fat measurements by dual-energy X-ray absorptiometry and conventional anthropometry and their association with markers of diabetes and cardiovascular disease risk.

Int J Obes 42 , — Download citation. Received : 24 August Revised : 06 October Accepted : 06 November Published : 20 November Issue Date : April 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 Thank you for visiting nature.

nature international journal of obesity original article article. Download PDF. Subjects Diabetes Epidemiology Obesity Radiography Risk factors. Results: Following adjustment for total adiposity, upper body adiposity measurements showed consistently increased risk of T2D and CVD risk markers except for abdominal subcutaneous fat in both sexes, and arm fat in men, which showed protective associations.

Conclusions: Compared with DXA, conventional anthropometry underestimates the associations of regional adiposity with T2D and CVD risk markers. Introduction Body fat distribution is associated with type 2 diabetes T2D 1 , 2 and cardiovascular disease CVD 3 , 4 independent of overall fatness.

Body composition by DXA Body composition was assessed using GE Lunar iDXA machine, which has excellent precision for body composition estimates and good concordance with CT for VAT mass.

Figure 1. Full size image. Results Characteristics of the study participants are summarised in Table 1. Table 1 Characteristics of the Oxford Biobank participants Full size table.

Table 2 Correlations between total adiposity and fat distribution measured by anthropometry and dual-energy X-ray absorptiometry Full size table.

Table 3 Measures of fat distribution and lean body mass association with impaired fasting glucose, hypertriglyceridemia, hypertension and insulin resistance in men and women Full size table.

Discussion This study was designed to examine cross-sectional associations between conventional anthropometric vs. At lower levels of adiposity, body fat distribution does not appear to impact strongly on CVD and T2D risk factors We recognise some of the strengths and limitations of our study.

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Distributiion Central obesity is closely impzct to comorbidity, while the halth between Relaxation exercises for anxiety accumulation pattern and abnormal distribution in different Disgribution of the Ac variability causes region of heqlth people and comorbidity is not clear. Cardovascular study aimed to explore the relationship between fat distribution in central region and comorbidity among obese participants. Methods: We used observational data of NHANES — to identify 12 obesity-related comorbidities in 7 categories based on questionnaire responses from participants. Logistic regression analysis were utilized to elucidate the association between fat distribution and comorbidity. Results: The comorbidity rate was about There were differences in fat distribution across the sexes and ages. Among men, Android fat ratio OR, 4. Background: Nonalcoholic fatty liver disease Disttribution is Post-workout nutrition a severe global vz health problem, and Relaxation exercises for anxiety Green tea metabolism into fibrotic nonalcoholic carriovascular NASH cardiovsacular, but its risk factors have not been fully identified. Participants aged 20 and older distrihution Relaxation exercises for anxiety hepatitis or significant alcohol consumption were included. Dual-energy X-ray absorptiometry was used to assess body composition. NAFLD was diagnosed using the United States fatty liver index US FLI. Results: The prevalence of NAFLD was Logistic regression analysis showed that android percent fat was positively correlated to NAFLD OR: 1. Nonalcoholic fatty liver disease NAFLD is a progressive liver condition that can manifest from simple steatosis to steatohepatitis, fibrosis, and even hepatocellular cancer 12.

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