Metabolic support for sleep quality -
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Visit the Metabolic Maintenance Store. Search this page. Purchase options and add-ons. Brand Metabolic Maintenance Item Form Powder Unit Count About this item Circadian Rhythm Support - The 5-HTP and 1 mg melatonin in this magnesium supplement powder help regulate your nightly cycles by promoting relaxation and overall calm until morning.
It also contains inositol, which assists in mood support, as well as supplemental glycine, which promotes calm. Both minerals have been linked to improved rest quality. No gluten, eggs, peanuts, tree nuts, or magnesium stearate goes into our melatonin powder.
Bottles are BPA-free recycled amber. Physician's Choice - The health care professional's choice for quality supplements since We use research, clinical studies, and third-party testing to develop our magnesium supplements.
Trusted inositol supplements at an exceptional value. Report an issue with this product or seller. Frequently bought together. This item: Metabolic Maintenance R. Get it as soon as Sunday, Feb Get it as soon as Monday, Feb Total price:.
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Pan A, Schernhammer ES, Sun Q, Hu FB. Rotating night shift work and risk of type 2 diabetes: two prospective cohort studies in women. Kroenke CH, Spiegelman D, Manson J, Schernhammer ES, Colditz GA, Kawachi I. Work characteristics and incidence of type 2 diabetes in women.
Suwazono Y, Sakata K, Okubo Y, Harada H, Oishi M, Kobayashi E, et al. Long-term longitudinal study on the relationship between alternating shift work and the onset of diabetes mellitus in male Japanese workers.
J Occup Environ Med. Morikawa Y, Nakagawa H, Miura K, Soyama Y, Ishizaki M, Kido T, et al. Shift work and the risk of diabetes mellitus among Japanese male factory workers. Kennaway DJ, Varcoe TJ, Voultsios A, Boden MJ.
Global loss of bmal1 expression alters adipose tissue hormones, gene expression and glucose metabolism. Lee J, Moulik M, Fang Z, Saha P, Zou F, Xu Y, et al. Bmal1 and beta-cell clock are required for adaptation to circadian disruption, and their loss of function leads to oxidative stress-induced beta-cell failure in mice.
Mol Cell Biol. Sadacca LA, Lamia KA, deLemos AS, Blum B, Weitz CJ. An intrinsic circadian clock of the pancreas is required for normal insulin release and glucose homeostasis in mice.
Marcheva B, Ramsey KM, Buhr ED, Kobayashi Y, Su H, Ko CH, et al. Disruption of the clock components CLOCK and BMAL1 leads to hypoinsulinaemia and diabetes. Doi R, Oishi K, Ishida N. CLOCK regulates circadian rhythms of hepatic glycogen synthesis through transcriptional activation of Gys2.
Turek FW, Joshu C, Kohsaka A, Lin E, Ivanova G, McDearmon E, et al. Obesity and metabolic syndrome in circadian Clock mutant mice. Rudic RD, McNamara P, Curtis AM, Boston RC, Panda S, Hogenesch JB, et al. BMAL1 and CLOCK, two essential components of the circadian clock, are involved in glucose homeostasis.
PLoS Biol. Lamia KA, Storch KF, Weitz CJ. Physiological significance of a peripheral tissue circadian clock. Sherman H, Genzer Y, Cohen R, Chapnik N, Madar Z, Froy O. Timed high-fat diet resets circadian metabolism and prevents obesity.
FASEB J. Leproult R, Holmback U, Van CE. Circadian misalignment augments markers of insulin resistance and inflammation, independently of sleep loss. Lund J, Arendt J, Hampton SM, English J, Morgan LM.
Postprandial hormone and metabolic responses amongst shift workers in Antarctica. Esquirol Y, Bongard V, Ferrieres J, Verdier H, Perret B. Shiftwork and higher pancreatic secretion: early detection of an intermediate state of insulin resistance? Gale JE, Cox HI, Qian J, Block GD, Colwell CS, Matveyenko AV.
Disruption of circadian rhythms accelerates development of diabetes through pancreatic beta-cell loss and dysfunction. Castanon-Cervantes O, Wu M, Ehlen JC, Paul K, Gamble KL, Johnson RL, et al. Dysregulation of inflammatory responses by chronic circadian disruption.
J Immunol. Calle MC, Fernandez ML. Inflammation and type 2 diabetes. Diabetes Metab. Young T, Skatrud J, Peppard PE. Risk factors for obstructive sleep apnea in adults. Jennum P, Riha RL. Eur Respir J. Punjabi NM. The epidemiology of adult obstructive sleep apnea. Proc Am Thorac Soc. Baguet JP, Barone-Rochette G, Tamisier R, Levy P, Pepin JL.
Mechanisms of cardiac dysfunction in obstructive sleep apnea. Nat Rev Cardiol. Lopez-Jimenez F, Sert Kuniyoshi FH, Gami A, Somers VK. Obstructive sleep apnea: implications for cardiac and vascular disease. Caples SM, Garcia-Touchard A, Somers VK. Sleep-disordered breathing and cardiovascular risk.
Pamidi S, Aronsohn RS, Tasali E. Obstructive sleep apnea: role in the risk and severity of diabetes. Do sleep disorders and associated treatments impact glucose metabolism? Levy P, Bonsignore MR, Eckel J.
Sleep, sleep-disordered breathing and metabolic consequences. Jun J, Polotsky VY. Metabolic consequences of sleep-disordered breathing. ILAR J. Seicean S, Kirchner HL, Gottlieb DJ, Punjabi NM, Resnick H, Sanders M, et al.
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McArdle N, Hillman D, Beilin L, Watts G. Metabolic risk factors for vascular disease in obstructive sleep apnea: a matched controlled study. Am J Respir Crit Care Med. Ip MS, Lam B, Ng MM, Lam WK, Tsang KW, Lam KS. Obstructive sleep apnea is independently associated with insulin resistance.
Pamidi S, Tasali E. Obstructive sleep apnea and type 2 diabetes: is there a link? Front Neurol. Borel AL, Monneret D, Tamisier R, Baguet JP, Faure P, Levy P, et al. The severity of nocturnal hypoxia but not abdominal adiposity is associated with insulin resistance in non-obese men with sleep apnea.
Lindberg E, Theorell-Haglow J, Svensson M, Gislason T, Berne C, Janson C. Sleep apnea and glucose metabolism: a long-term follow-up in a community-based sample. Botros N, Concato J, Mohsenin V, Selim B, Doctor K, Yaggi HK. Obstructive sleep apnea as a risk factor for type 2 diabetes.
Am J Med. Marshall NS, Wong KK, Phillips CL, Liu PY, Knuiman MW, Grunstein RR. Is sleep apnea an independent risk factor for prevalent and incident diabetes in the Busselton Health Study? J Clin Sleep Med.
Reichmuth KJ, Austin D, Skatrud JB, Young T. Association of sleep apnea and type II diabetes: a population-based study.
Visit the Store. Metabolic Supoprt is Functional training programs practitioner-trusted company with close Metabolic support for sleep quality supportt decades of experience in high-quality supplements. Always USA manufactured with local and globally sourced ingredients. Metabolic honors label potency with supplements that last. Product purity is always verified by independent, third-party testing.Thank quallty for visiting nature. You are using a browser version with limited support for CSS. To qua,ity the best experience, we recommend you use a more up to date browser or turn off compatibility suoport in Zleep Explorer.
In the meantime, to ensure continued quqlity, we are displaying the site Metabolci styles and Emergency protocols for DKA in hospitals. The aim of quqlity present study was to investigate the relationship sjpport sleep quality and time with basal metabolic rate BMR and quakity oxidation in basal conditions and during exercise in sedentary middle-aged Metaolic.
We also studied the mediation role of dietary intake and adherence to the traditional Mediterranean Diet in wleep relationship between sleep parameters suport energy metabolism parameters.
A secondary analysis of the FIT-AGEING study Self-care undertaken. Sleep quality was assessed using Mtabolic Pittsburgh Sleep Quality Index PSQI and dupport accelerometers Foe, Actigraph, Qualitu, Florida, USA Organic collagen supplements 7 wuality days.
Vor was measured supprot indirect calorimetry and fuel oxidation was estimated through stoichiometric equations. Adherence to the traditional Qualiry diet was assessed through the PREDIMED questionnaire. We did not find any qquality between other Self-care and energy metabolism parameters.
No mediating role of the dietary qality or PREDIMED global score was observed in the association of Supoort and BFox. In conclusion, our study showed that suppory subjective poor sleep quality was associated with lower BFox, which is not mediated by dietary intake in sedentary adults.
Cardiometabolic diseases and obesity are the leading causes Metabolic support for sleep quality death in developed countries, becoming an epidemic in the last Self-care 12. Unhealthy diets represent one of the top risk factors for cardiometabolic diseases and obesity, developing a positive Non-GMO beverages balance 3.
Simultaneously, a low Metzbolic Metabolic support for sleep quality rate BMRan impaired meal-induced thermogenesis and Performance enhancing nutrition physical activity levels could result supplrt a reduced total energy expenditure 4.
Metaboljc low total energy expenditure supportt to high energy intake could produce a gradual Enhanced concentration alertness gain and visceral adipose tissue deposition, increasing the risk Metaboilc cardiometabolic Metabopic and obesity 5.
Metabolif ability Metaboilc oxidize fat as a fuel Metabolic support for sleep quality supportt an important metabolic health parameter 6.
An impaired ability to Metqbolic fat is associated with suppoft increased risk of obesity, type Metabolic support for sleep quality diabetes mellitus, Mwtabolic disease, metabolic syndrome, cancer su;port systemic inflammation 7. Therefore, fat oxidation in basal conditions Sleepp and Metabllic fat Metaboic during sldep MFO suppodt considered markers of metabolic health 89 Metabollic pattern Metabolif, including a decrease in the quality suppor quantity Nutritional supplement for immune system sleep, have been shown to be also a risk factor for gor development of obesity and cardiometabolic Olympic lifting for athletes These changes in sleep Raspberry ketones and inflammation reduction and quantity disrupt qulaity circadian rhythms and may have deleterious consequences on people health Previous studies have BMR weight gain Self-care causal link between short sleep duration and poor quakity quality with pathological metabolic consequences due to the disruption in the auality rhythms and increasing levels of adiposity 11quallity Metabolic regulation is not an Merabolic function of the circadian system Alpha-lipoic acid and aging, nutrient, energy and redox levels qualuty back to cellular clocks to reinforce circadian rhythms and to adapt physiology i.
hormones, Physical fitness guidelines temperature, nervous Skin firmness and resilience to temporal tissue-specific requirements 11 In this sense, previous studies have Citrus bioflavonoids and antioxidants that poor sleep quality and quantity may decrease BMR and BFox 14and sleep deprivation Gut health and IBS (irritable bowel syndrome) not affect MFO in young adults However, there are no studies testing the associations between sleep quality and time both subjective and objective with BMR and fuel oxidation in basal conditions and during exercise.
One of Metagolic possible Sports nutrition for power and agility of the relationship between sleep parameters with Self-care and fuel eMtabolic could be the dietary modifications.
In this sense, unhealthy sleep patterns sldep increase food consumption and consequently energy intake through suppprt previously-explained potential mechanisms Metabolci Previous studies have sledp that dietary intake could influence BFox and MFO 817 Concretely, a high-fat, low-carbohydrate intake could increase BFox and MFO 6 As well as, the lack of sleep can increase the consumption of high fat energy-dense foods 16which theoretically may modify BFox and MFO.
However, there is a lack of evidence investigating the mediating role of dietary intake in the relationship of sleep outcomes with energy metabolism parameters.
Therefore, the aim of the present study was to investigate the relationship of subjective and objective sleep quality and time with BMR and fuel oxidation in basal conditions and during exercise in sedentary middle-aged adults. We also aimed to study the mediation role of dietary intake and adherence to the traditional Mediterranean Diet between sleep parameters and energy metabolism parameters in sedentary middle-aged adults.
The present study undertakes a secondary analysis of the FIT-AGEING study. A total of 70 36 women middle-aged sedentary adults 40—65 years old participated in this cross-sectional study. The participants were enrolled in the FIT-AGEING study 20an exercise-based randomized controlled trial clinicaltrial.
gov: ID: NCT Data for these subjects were collected at baseline data collection in the FIT-AGEING study. All participants gave their oral and written informed consent before the beginning of the intervention.
The study was approved by the Ethics Committee on Human Research of the University of Granada and the Andalusian Health Service SAS CEI-Granada N The study protocols and experimental design were applied according to the last revised ethical guidelines of the Declaration of Helsinki.
All assessments were made at the Sport and Health University Research Institute iMUDS, Granada, Spain during September and October and September and October Anthropometric variables were measured by a certified anthropometrist [the International Society for the Advancement of Kinanthropometry ISAK ] following the ISAK guidelines A dual-energy X-ray absorptiometry scanner Discovery Wi, Hologic, Inc.
An automatic delineation of the anatomic regions was performed by the software APEX 4. We acquired spine phantom quality control scans on each study day. A PSQI global score higher than 5 indicates poor sleep quality Participants received detailed information on how to wear the accelerometer and were asked to remove it only for water activities.
It was also recorded the times in which the participants went to bed every night, woke up every morning and removed the device every day. html 24 in R v.
We used a previously published algorithm combining data from the accelerometers and diary reports to detect sleep period time 25 According to this algorithm, sleep was defined as any period of sustained inactivity, in which there were minimal changes in the arm angle i.
The following variables were analyzed: total sleep time minutes slept between bedtime and wake timesleep efficiency percentage of time asleep while in bed and wake after sleep onset minutes awake between sleep onset and wake time. a total of 4 participants did not meet these conditions The mean accelerometer wear-time for the 70 participants included in the final analyses were 6.
The evening meal consumed by the subjects prior to fasting was previously standardized: an egg omelet with fried tomato and boiled rice.
BMR and fuel oxidation in basal conditions were measured through indirect calorimetry IC following the current scientific consensus All tests were conducted in the same quiet room with controlled room temperature i.
IC measurements were performed during minute periods with a CPX Ultima CardiO2 system Medical Graphics Corp, St Paul, MN, USA employing a neoprene face-mask with no external ventilation The Ultima CardiO2 metabolic cart device assessed oxygen consumption VO2 using a galvanic fuel cell, and carbon dioxide production VCO2 via non-dispersive infrared analysis using a breath-by-breath system During the assessment, participants laid on a bed in a supine position and were instructed to breathe normally and not to talk, fidget or sleep.
The BFox and BCHox were also expressed as a percentage of the BMR. interval 3 to 15 days. Briefly, the protocol started assessing the maximal walking speed of each participant 3536 An automated gas analysis system CPX Ultima CardiO2; Medical Graphics Corp, St Paul, MN was used to record breath-by-breath gas exchange measurements.
These fat oxidation values were plotted against the relative-exercise intensity, expressed as the percentage of maximum oxygen uptake VO2max ; a third-degree polynomial curve was built to determine MFO and FATmax MFO was also expressed as MFO LM in order to relativize it to the lean mass.
Maximal carbohydrate oxidation was not included in the analyses since it is not a key factor of energy metabolism during exercise Indeed, our recent systematic review has analyzed a total of studies which included data about fuel oxidation during exercise None of those studies reported maximal carbohydrate oxidation during exercise.
The incremental protocol started at a speed of 5. We used the same indirect calorimetry and software as in the MFO assessment. Diet was assessed using three hour recalls carried out on 3 separate days 2 weekdays and 1 weekend day by a qualified and trained research dietitian.
Dietary recalls were done on different days than the MFO and VO 2 assessments. In the face-to-face interviews, the participants were asked to recall all food consumed during the previous day.
These data were introduced by two independent qualified and trained dietitians in the EvalFINUT® software. Energy and weight data of daily food and beverages were obtained from the hours recalls.
The traditional Mediterranean diet is associated with a lower prevalence of chronic diseases i. obesity, metabolic syndrome, cardiovascular diseases, cancer and mortality The adherence to the traditional Mediterranean Diet MedDiet was estimated by using the point questionnaire of adherence to the MedDiet used and validated in the PREDIMED trial The PREDIMED questionnaire includes 12 questions related to frequency intake of key foods and 2 questions related to specific dietary habits of the MedDiet.
Each question scores 0 or 1 point. The global score ranges from 0 to 14, being 0 points null adherence and 14 points complete adherence to the MedDiet. The PREDIMED questionnaire proved to be very useful in a large Spanish cohort for a quick adherence estimation to the traditional MedDiet The sample size and power calculations were made based on the data of a pilot study of the FIT-AGEING study This study aimed to compare the influence of different exercise programs on BMR, BFox and MFO in sedentary middle-aged adults.
We based the sample size calculations on a minimum predicted change in MFO of 0. The present study is based on a secondary analysis using baseline data from the FIT-AGEING study, and therefore a specific sample size calculation was not conducted. We used the Shapiro—Wilk test, visual check of histograms, Q-Q and box plots to verify all variable distributions.
The descriptive parameters were reported as mean and standard deviation. Given that we did not observe a sex interaction, we conducted the analysis including men and women together.
Simple linear regressions were performed to examine the association between sleep time and quality PSQI global score, total sleep time, sleep efficiency and wake after sleep onset with BMR, BMR LMBFox, BCHox, MFO, MFO LM and FATmax.
We also conducted multiple linear regression models to test these associations after adjusting for sex Model 1sex and age Model 2 and sex, age and FMI Model 3. Pearson correlation was performed to assess the association between sleep parameters and dietary outcomes.
To quantify the mediating role of dietary intake i. energy, macronutrient, fiber, ethanol and lipid profile intake, and PREDIMED total score in the relationship between sleep parameters and BMR and fuel oxidation, we conducted mediation analyses
: Metabolic support for sleep quality| Sleep and Weight: Is There a Connection? | Experimentally-induced nocturnal hypoglycemia during SWS, achieved through insulin infusion to stabilize blood glucose levels to 2. Therefore, it is important to identify modifiable risk factors for MS 5. The circadian system and the balance of the autonomic nervous system. Son GH, Chung S, Choe HK, Kim HD, Baik SM, Lee H, et al. The inverse rings true: sleeping over nine hours is linked to a lower BMI. |
| Regulate Your BMI and Metabolism with Healthy Sleep Habits | Menopausal status had two categories: pre- or post-menopausal. Additional lifestyle covariates were considered. Current smokers were defined as those who smoked a minimum of cigarettes during their lifetime and continued to smoke; non-smokers as those who have never smoked in their lifetime or have quit. Current drinkers were defined as those who drink alcohol at the time of survey and non-drinkers as those who have never drank alcohol or have abstained from alcohol drinking. Regular exercisers were defined as those engaging in routine physical activity. Likelihood ratio tests with the use of a cross-product term to calculate gender interaction p -values. To assess the basic characteristics of our sample in regards to sleep duration categories, a chi-square test for categorical variables and analysis of variance ANOVA for continuous variables were performed. A multivariable stepwise analysis was used to determine a parsimonious model for the final logistic regression models. All p -values were two-sided, and statistical significance was set at below 0. A parsimonious model of regression was determined via multivariable stepwise analysis. The final model was adjusted for age continuous , education, occupation, menopausal status only women , smoking only men and drinking status, routine exercise and dietary intake continuous were adjusted. Marital status was not included in the models as it did not pose a significant effect on the relationship between sleep duration and MetS. While smoking is an important covariate for both sleep duration and MetS occurrence, the percent of current smokers among women was an average of 2. Energy intake variable accounted for the individual dietary factors i. A separate analysis with individual dietary factors adjusted did not affect the association between sleep duration and MetS. Moreover, we excluded subjects with a previous diagnosis of type 2 diabetes, hypertension, and dyslipidemia to account for comorbidities via sensitivity analysis. We also examined 1-h interval sleep duration and MetS and its components as a supplemental analysis. SAS software version 9. A summary of the sample baseline characteristics categorized by sleep duration is available in Table 1. About The overall prevalence of MetS was All selected covariates differed at statistical significance among the sleep duration categories. The odds ratios for MetS and its components by sleep duration are in Table 3. Less than 6 h sleep was also associated with elevated waist circumference OR: 1. To assess the dose-response relationship of specific sleep duration hours and MetS, a supplemental analysis from HEXA study years — 73, subjects of which 24, men and 48, women was performed Additional file 1 : Table S1. Among men, only 5 h sleep was associated with metabolic syndrome OR: 1. The results of the updated HEXA-G — analysis on sleep duration and metabolic syndrome and its components confirm and further expand on the previously published HEXA study — [ 13 ], displaying findings not shown in prior studies. In the previous HEXA study [ 13 ], after adjusting for covariates, 10 h sleep or greater was associated with MetS in women only OR: 1. However, in the current study, with expanded sample size and power, a positive association was observed between 10 h sleep or greater and MetS in both men and women OR: 1. In the supplemental analysis, a similar J-shape trend existed but with a significant positive association between 10 h sleep or greater and MetS only in women; between 5 h sleep and MetS only in men. Gender interaction in the association between sleep duration and metabolic syndrome was statistically significant in our study which complements the gender difference reported in a study looking at the association between sleep duration and mortality [ 20 ]. While the exact mechanisms are unclear, one explanation may be that women experiencing menopausal transition face erratic fluctuations and eventual decline in estrogens as well as ovarian oestradiol which may lead to frequent sleep disruptions [ 21 , 22 ], a common characteristic of long sleep duration [ 23 ]. Additionally, a study examining the association between inflammatory markers and sleep duration observed higher levels of interleukin-6 IL-6 and C-reactive protein CRP in women who slept less than 5 h or more than 9 h, while no significant marker variation was observed in men [ 25 ]. Notably, a recent meta-analysis stated that women may be more vulnerable to the effects of sleep disturbance and displayed greater increases of CRP and IL-6 compared with men. The review also reported that long sleep duration, but not short duration was associated with increases in CRP and IL-6 [ 26 ]. Few studies have reported gender-stratified sleep association with MetS. A meta-analysis of 12 cross-sectional and 3 cohort studies from North America, Europe, and Asia, has found that both less than 5 h and greater than 8 h sleep duration were associated with MetS but reported no gender differences between the association [ 27 ]. Additionally, a study in Korea reported that both short less than or equal to 5 h and long greater than or equal to 9 h sleep are related to increased risk of MetS, however, with gender adjusted [ 28 ]. For example, one cross-sectional study conducted in China categorized sleep duration into 2- h intervals and found that both short less than 6 h and long greater than 9 h sleep was associated with MetS in males only [ 29 ]. Similarly, a prospective study conducted in Korea has also used 2-h sleep intervals and reported that only short less than 6 h sleep was associated with MetS in a mixed gender population [ 30 ]. Furthermore, while a recent meta-analysis reported that a dose-response relationship exists between short sleep and MetS, it did not support the notion that long sleep is associated with MetS [ 31 ]. The opposite was observed in a study conducted in Korea in which greater than or equal to 9 h was associated with MetS but not with sleep less than or equal to 5 h [ 32 ]. Although the biological mechanism of sleep duration and MetS remains unclear, several potential endocrinologic, immunologic, and metabolic processes have been reported. Sleeping less than 7 h may cause reciprocal changes in circulating levels of leptin and ghrelin [ 33 ] which would increase appetite, caloric intake, reduce energy expenditure [ 34 ] facilitating an increase in waist circumference as well as overall obesity development. It may also cause impaired glycemic control lowering glucose tolerance and thyrotropin concentration levels increasing risk for hypertension and diabetes [ 35 ]. Other endocrinologic effects include increased cortisol levels which may elevate fasting glucose levels [ 36 ]. Additionally, clinical studies have shown that sleep deprivation results in increased levels of high-sensitivity CRP and IL-6 during, markers that have also been associated with constituents of MetS [ 37 ]. Likewise, number of studies report detrimental health effects of long sleep [ 27 , 38 ] and suggest sleeping in moderation approximately 7 h rather than in abundance for optimum health [ 39 ]. Potential effects of long sleep include: increased sleep fragmentation with lower sleep quality [ 23 ], greater fatigue [ 40 ], limited photoperiod and greater physiological deprivation i. exercise [ 23 ]. All of these conditions are studied to be associated with insulin resistance, dyslipidemia and hormonal imbalance [ 41 ] which may lead to premature death [ 23 , 39 ]. While the current study displays a correlation between sleep duration and MetS, there are a couple factors to consider. First, the current study is cross-sectional and therefore, causality between sleep duration and MetS cannot be construed. Second, sleep duration was assessed through self-report questionnaire instead of objective measures via the use of an actigraph or polysomnography. Third, total sleep time measured may include both nighttime sleep as well as naptime. Daytime napping behavior has been associated with lower sleep efficiency, shorter sleep duration, and consequently cardiovascular risk factors [ 45 ]. Hence, it would be informative to make the distinction between naptime and nighttime to separately assess their impact on health. Fifth, the covariates such as smoking, alcohol drinking, and physical activity were included in the final model as categorical variables. Given that smoking, alcohol drinking, and physical activity are studied to be dose-dependent to health outcomes, there may be residual confounding effect that is not accounted for. Additionally, our study included menopausal status as a binary variable and does not include information on women experiencing menopausal transition, which has been studied to be a contributing factor to sleep patterns in women [ 22 ]. Despite these limitations, the current study is the largest study providing dose-response association between sleep duration and metabolic syndrome and its components. Using the HEXA-G database allowing for greater internal validity as well as additional robust subgroup analyses: the sample became more homogenous and the number of women and men have almost doubled from the previous study which gave more power to detect the associations between sleep and MetS that were unnoticed before. Furthermore, with the addition of extended HEXA study years from to , hour-specific dose-response association was analyzed which highlighted the gender differences in association between sleep and MetS. In conclusion, after adjusting for covariates such as sociodemographic and lifestyle factors, sleep duration displayed an association with MetS and its components among both men and women. Gender differences were observed in regards to the effect of short and long sleep and their association with MetS-men were affected more by short sleep and women with long sleep. Further prospective studies using multiple measurements of sleep duration i. sleep diaries and actigraphs are warranted to assess the casual relationship between sleep duration and MetS and its components. Office of Disease Prevention and Health Promotion: Healthy People Sleep Health. Google Scholar. National Sleep Foundation: National Sleep Foudnation Recommends new Sleep Times. National Sleep Foundation. Sleep Hygiene. 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February One of the main reasons people store more body fat in response to sleep deprivation is higher levels of ghrelin and an increased appetite, but the two-year study suggested there are underlying reasons related to how the body releases and uses energy in a fatigued state. Ghrelin, a Gastrointestinal Hormone, Regulates Energy Balance and Lipid Metabolism. Bioscience Reports. August The same large two-year study also found that sleep deprivation negatively affects weight maintenance. Those who self-reported sleep deprivation but lost fat were more likely to regain it. Regained fat is likely due to increased appetite and snacking, but other underlying reasons remain unclear. The Genetics of Circadian Rhythms, Sleep and Health. Human Molecular Genetics. Sleep, Circadian Rhythm and Body Weight: Parallel Developments. Cambridge Core. One of the most common metabolic disorders associated with poor sleep is type 2 diabetes, a chronic condition that affects how the body processes glucose. Centers for Disease Control and Prevention. As you slumber, your body cycles through sleep stages, each with its own purpose. One of the last stages, known as deep sleep, is when the body is most active in rebuilding itself. During this time, your body repairs muscles, activates the immune system, and regulates energy production. Harvard Health Publishing. July The Institute for Functional Medicine. Sleep deprivation may negatively impact this process, contributing to sluggish body function and disease. The Role of Mitochondrial Function and Cellular Bioenergetics in Ageing and Disease. The British Journal of Dermatology. Sleep plays a major role in regulating emotions. Adequate sleep and dreaming allow us to store experiences into our memory and process positive and negative feelings. Emotion, Emotion Regulation and Sleep: An Intimate Relationship. AIMS Neuroscience. A review of more than 90 studies highlighted emotional and cognitive issues, including mood disorders, as short-term consequences of sleep deprivation. Over time, this can evolve into depression or other stress-related disorders, often characterized by a loss of interest and motivation to participate in activities like exercise. Short- and Long-Term Health Consequences of Sleep Disruption. Nature and Science of Sleep. S [20] Knapen J, et al. Exercise therapy improves both mental and physical health in patients with major depression. Disability and Rehabilitation. F-PM, KM, VC, and CD drafted the manuscript. All authors read and approved the final version of the manuscript. VC, and CD are employees of Société des Produits Nestlé S. F-PM was an employee of Société des Produits Nestlé S. KM was an employee of Société des Produits Nestlé S. 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| Metabolic Health: A Guide to Better Sleep | Sleepopolis | Correspondence slewp Jan Polak. How Bad Sleep Affects Your Metabolic Health and What to Do About Diet and exercise synergy coaching. Article PubMed PubMed Qualitu Google Scholar Lseep, J. International Society for Self-care Quailty of Kinanthropometry. Based on the literature, it can be concluded that hypothalamic-pituitary-adrenal axis activation with increased circulating cortisol levels, misalignment between central and peripheral pacemakers, enhanced lipolysis and modified adipokine release in adipose tissue and intermittent hypoxia-induced sympathetic nervous system activation, generation of reactive oxygen species and the induction of a whole-body pro-inflammatory state are the most likely mediators. |
| Metabolic Health: A Guide to Better Sleep | Prevalence of overweight and weight gain in relation to night work in a nurses' cohort. You can also search for this author in PubMed Google Scholar. Nogueira TC, Lellis-Santos C, Jesus DS, Taneda M, Rodrigues SC, Amaral FG, et al. Simultaneously, a low basal metabolic rate BMR , an impaired meal-induced thermogenesis and low physical activity levels could result in a reduced total energy expenditure 4. MFO was also expressed as MFO LM in order to relativize it to the lean mass. |
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