ArticleSleep2022
The association between rest-activity rhythms and glycemic markers: the US National Health and Nutrition Examination Survey, 2011-2014.
Article in Sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Association between circadian rest-activity rhythm and meal timing: NHANES 2013-2014.Sleep health · 2026Article
- Association of Rest-Activity Rhythm and Sleep Regularity With Cardiometabolic Disease in the CARDIA Study.Journal of the American Heart Association · 2026Article
- Observational
- Article
- Impaired Rest-Activity Rhythm Characteristics Predict Higher Risk of Incident Type 2 Diabetes in UK Biobank Participants.Diabetes care · 2025Article
- Associations between the timing of 24 h physical activity and diabetes mellitus: results from a nationally representative sample of the US population.Diabetologia · 2025Article
- Wearables in Chronomedicine and Interpretation of Circadian Health.Diagnostics (Basel, Switzerland) · 2025Review
- The association of 24-hour behavior rhythms with stroke among American adults with prediabetes/diabetes: evidence from NHANES 2011-2014.BMC public health · 2024Article
- Age Is Associated With Dampened Circadian Patterns of Rest and Activity: The Study of Muscle, Mobility, and Aging (SOMMA).The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Rest-Activity Rhythms Are Associated With Prevalent Cardiovascular Disease, Hypertension, Obesity, and Central Adiposity in a Nationally Representative Sample of US Adults.Journal of the American Heart Association · 2024Article
- Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes.Diabetes & metabolism journal · 2024Review
- Alignment Between 24-h Light-Dark and Activity-Rest Rhythms Is Associated With Diabetes and Glucose Metabolism in a Nationally Representative Sample of American Adults.Diabetes care · 2023Article
- Age is Associated with Dampened Circadian Patterns of Rest and Activity: The Study of Muscle, Mobility and Aging (SOMMA).medRxiv : the preprint server for health sciences · 2023Article
- Associations between Rest-Activity Rhythms and Liver Function Tests: The US National Health and Nutrition Examination Survey, 2011-2014.Clocks & sleep · 2023Article
- The association between rest-activity parameters and hemoglobin A1c in patients with prediabetes.Chronobiology international · 2023Article
- Association of 24 h Behavior Rhythm with Non-Alcoholic Fatty Liver Disease among American Adults with Overweight/Obesity.Nutrients · 2023Article
- Cross-sectional and Prospective Associations of Rest-Activity Rhythms With Body Mass Index in Older Men: A Novel Analysis Using Harmonic Hidden Markov Models.Journal of biological rhythms · 2023Article
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Authors and funding
4 authors.
Funding
Abstract
objectivesPrevious studies conducted in mostly homogeneous sociodemographic samples have reported a relationship between weakened and/or disrupted rest-activity patterns and metabolic dysfunction. This study aims to examine rest-activity rhythm characteristics in relation to glycemic markers in a large nationally representative and diverse sample of American adults.
methodsThis study used data from the National Health and Nutrition Examination Survey 2011-2014. Rest-activity characteristics were derived from extended cosine models using 24-hour actigraphy. We used multinomial logistic regression and multiple linear regression models to assess the associations with multiple glycemic markers (i.e., glycated hemoglobin, fasting glucose and insulin, homeostatic model assessment of insulin resistance, and results from the oral glucose tolerance test), and compared the results across different categories of age, gender, race/ethnicity, and body mass index.
resultsWe found that compared to those in the highest quintile of F statistic, a model-fitness measure with higher values indicating a stronger cosine-like pattern of daily activity, participants in the lowest quintile (i.e, those with the weakest rhythmicity) were 2.37 times more likely to be diabetic (OR Q1 vs. Q5 2.37 (95% CI 1.72, 3.26), p-trend < .0001). Similar patterns were observed for other rest-activity characteristics, including lower amplitude (2.44 (1.60, 3.72)), mesor (1.39 (1.01, 1.91)), and amplitude:mesor ratio (2.09 (1.46, 2.99)), and delayed acrophase (1.46 (1.07, 2.00)). Results were consistent for multiple glycemic biomarkers, and across different sociodemographic and BMI groups.
conclusionsOur findings support an association between weakened and/or disrupted rest-activity rhythms and impaired glycemic control among a diverse US population.
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