Impact of objectively measured sedentary behaviour on changes in insulin resistance and secretion over 3years in the RISC study: Interaction with weight gain

Lahjibi, E.; Heude, Barbara; Dekker, Joost; Højlund, Kurt; Laville, Martine; Nolan, John J.; Jm, Oppert; Balkau, Beverley

doi:10.1016/j.diabet.2012.12.006

Cited by 31 publications

(50 citation statements)

References 46 publications

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“…Consistent with the logical proposition that sedentary time is a risk because of not enough total activity, the relative balance between total inactivity (sedentary time) and total cumulative daily activity was key for insulin sensitivity. Sedentary time in this cohort was also directly associated with an insulin secretion index derived from an OGTT even after adjustment for clamp determined insulin sensitivity, and also with higher TG, and lower HDL-C independent of sustained MVPA but instead related to total daily activity (44). …”

Section: Associations Between Sedentary Behaviors and Type 2 Diabetesmentioning

confidence: 86%

Sedentary Behavior as a Mediator of Type 2 Diabetes

Hamilton¹,

Hamilton²,

Zderic³

2014

Medicine and Sport Science

131

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Over the past 5 years, the fastest growing new area of physical activity research centered around the concept that the large amount of time people spend sitting inactive may have significant physiological consequences hazardous to human health, including risk for type 2 diabetes and poor metabolism of lipids and glucose. Meta-analysis (10 studies) suggest there is a 112% greater relative risk associated with a large duration of sedentary behavior for type 2 diabetes. Meta-analysis also indicates significantly greater odds for metabolic syndrome. We also summarize results for 7 studies using objective measures of total sedentary time and focusing on cardiometabolic risks in persons at high risk for type 2 diabetes or already diagnosed with type 2 diabetes. The underlying hypothesis introduced in 2004 by the inactivity physiology paradigm, has been that frequent and abundant contractile activity by certain types of skeletal muscle can have a potent influence on key physiological processes, even when the intensity is below that achieved through exercise. We explain some of the mechanisms for why the metabolism in slow-twitch oxidative skeletal muscle is key for understanding the healthy responses to low intensity physical activity (LIPA). Findings from objective measures from inclinometry indicated that the quartile range for weekly sedentary time is ~29 hours/week. The total daily time that people sit, stand, and accumulate non-exercise steps is independent of traditionally recommended moderate-vigorous physical activity (MVPA). The large amount of sedentary time associated with risk for disease can only be reduced significantly with safe and non-fatiguing LIPA, especially in the most at risk proportion of the population. Importantly, experimental studies are starting to indicate that it will be especially insightful to understand the acute dose-response effects of LIPA in order to understand why reducing sedentary time can improve lipid and glucose metabolism for the prevention and treatment of chronic disorders related to type 2 diabetes.

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Section: Associations Between Sedentary Behaviors and Type 2 Diabetesmentioning

confidence: 86%

Sedentary Behavior as a Mediator of Type 2 Diabetes

Hamilton¹,

Hamilton²,

Zderic³

2014

Medicine and Sport Science

131

View full text Add to dashboard Cite

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“…Some studies have shown that weight gain results in increased insulin resistance [23,24]. GDM is usually diagnosed between 24 and 28 gestation weeks; so the weight gain during the entire gestation period has no predictive value for GDM.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Gestational Diabetes Mellitus in Chinese Women with Polycystic Ovary Syndrome: A Cross-Sectional Study

Zhang

Jin²,

Qin

et al. 2015

Gynecol Obstet Invest

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Aims: This study aims to explore the independent predictors of gestational diabetes mellitus (GDM) in Chinese women with polycystic ovary syndrome (PCOS). Methods: This cross-sectional study analyzed primigravid women with PCOS and classified them as those with and without GDM. Independent risk factors and model performance were analyzed using multivariate logistic regression and the area under the curve (AUC) of receiver operating characteristic (ROC), respectively. Results: Maternal body mass index, waist circumference, waist-to-hip ratio (WHR), fasting glucose, insulin, sex hormone-binding globulin (SHBG), homeostasis model assessment-insulin resistance (HOMA-IR) before pregnancy, gestation weight gain before 24 weeks and the incidence of family history of diabetes were different in the 2 groups. Logistic regression analysis showed that pre-pregnancy WHR, SHBG, HOMA-IR and gestation weight gain before 24 weeks were the independent predictors of GDM. ROC curve analysis confirmed that gestation weight gain before 24 weeks (AUC 0.767, 95% CI 0.688-0.841), pre-pregnant WHR (AUC 0.725, 95% CI 0.649-0.802), HOMA-IR (AUC 0.711, 95% CI 0.632-0.790) and SHBG levels (AUC 0.709, 95% CI 0.625-0.793) were the strong risk factors. Conclusions: In Chinese women with PCOS, factors of gestation weight gain before 24 weeks, pre-pregnant WHR, HOMA-IR and SHBG levels are strongly associated with subsequent development of GDM.

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“…To date, some cross-sectional [22,25–27] and prospective studies [28–30] have addressed the interrelationships between PA, sedentary behaviors and sleep in relation to cardiometabolic risk factors in different populations including overweight/obese persons [22,28], T2D patients [30] and healthy individuals [25,26]. Nevertheless, these associations have been barely explored in a large population of elderly adults at high CVD risk—a typically overweight, sedentary and physically inactive group.…”

Section: Introductionmentioning

confidence: 99%

Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis

et al. 2017

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Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS trial. Employing multivariable-adjusted Cox regression with robust variance and constant time (given the cross-sectional design), higher prevalence of obesity, T2D and abdominal obesity as component of the MetS were associated with greater time in TV-viewing (Relative Risk, RR: 1.02, 95%CI: 1.01, 1.03; RR:1.04, 95%CI: 1.02, 1.06 and RR: 1.01 95%CI: 1.00, 1.02; respectively, all P < .01). Conversely, greater time in moderate-vigorous PA (MVPA) was associated with lower prevalence of obesity, T2D, abdominal obesity and low HDL-cholesterol (RR: 0.95, 95%CI: 0.93, 0.97; RR: 0.94, 95%CI: 0.89, 0.99; RR: 0.97, 95%CI: 0.96, 0.98; and RR: 0.95, 95%CI: 0.91, 0.99, respectively, all P < .05). For these outcomes, theoretically substituting 1-h/day of MVPA for 1-h/day TV-viewing was also significantly associated with lower prevalence (RR 0.91 to 0.97, all P < .05). Similar lower RR in these outcomes was observed when substituting 1-h/day of MVPA for 1-h/day of sleeping. Longer time watching TV and not meeting MVPA recommendations were jointly associated with higher RR of the prevalence of obesity and T2D. We concluded that, in senior individuals at high cardiovascular risk, greater time spent on MVPA and fewer on sedentary behaviors was inversely associated with prevalence of obesity, T2D, and some of the components of MetS.

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Impact of objectively measured sedentary behaviour on changes in insulin resistance and secretion over 3years in the RISC study: Interaction with weight gain

Abstract: These prospective data suggest that less sedentary behaviour may partly counteract some of the negative effects of increasing body weight on glucose-insulin homoeostasis.

Cited by 31 publications

References 46 publications

Sedentary Behavior as a Mediator of Type 2 Diabetes

Sedentary Behavior as a Mediator of Type 2 Diabetes

Predictors of Gestational Diabetes Mellitus in Chinese Women with Polycystic Ovary Syndrome: A Cross-Sectional Study

Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis

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