Notes
This cross-sectional population study examined associations of sleep duration and morning evening type with sociodemographic and cardiometabolic disease in adults participating in the UK Biobank study (N = 439 933). Multivariable Poisson regression models of sleep duration and morning evening type with a robust error variance were generated to estimate adjusted prevalence ratios and their 95% confidence intervals. All models were adjusted for sex, race, college attendance, employment status and age. Twenty five percent of the sample reported short sleep; 27% were morning, 64% intermediate and 9% evening type. Black ethnicity emerged as most strongly associated with sleep behavior. Short sleep was twice as prevalent, and morning versus intermediate type was 1.4 times more prevalent in Black than White participants. The greater prevalence of short sleep and morning type among Blacks suggests that sleep-based approaches to improving cardiometabolic outcomes may require a more multidimensional approach that encompasses adequate sleep and circadian alignment in this population.
Malone, SK, Patterson F, Lu Y, Lozano A and Hanlon A (2015) Ethnic differences in sleep duration and morning-evening type in a population sample, Chronobiology International 33:2016 Issue 1, 10-21
Application 3474
Effects of Chronotype on Sleep Duration and Body Composition Variables
Body composition changes with age. These changes include decreases in fat-free mass and increases in fat mass and central fat accumulation. Improving body composition will augment efforts to lower obesity rates and cardio-metabolic diseases (e.g. type 2 diabetes). Sleep may be a determinant of body composition, whereby shortened sleep duration predicts weight gain. However, evidence is inconsistent. Differences in chronotype (the extent to which an individual is a ?morning? or an ?evening? person) may explain these inconsistent findings. This study will examine the extent to which chronotype modifies the association between sleep duration, fat mass, and fat-free mass in adults. Obesity is associated with leading causes of death and chronic disease (e.g. cardiovascular disease). To elucidate the relationship between obesity and sleep, this study will explore sleep duration, with an emphasis on chronotype-specific differences in eating habits, physical activity, fat mass, and fat free mass. This is aligned with the UK Biobank?s purpose because if chronotype modifies the relationship between sleep and obesity, it may be used to predict who is at greatest risk for obesity onset. These findings may also provide insight into chronotype based weight management interventions. We will examine the hypothesis that chronotype modifies the effect between sleep duration and obesity. Obesity will be regressed on the indicator for whether or not someone is a ?morning? person or an ?evening? person and sleep duration to determine this relationship. Then to determine potential causal pathways through which sleep duration impacts body composition, chronotype-specific differences in eating habits, physical activity, and body composition will be quantified using structural equation modeling. This approach will allow us to quantify the relationship of other potentially influential variables such as person, demographic, and environmental factors. Data from the full UK Biobank cohort, stratified and balanced on sex, will be used to elucidate the relationship between chronotype, sleep duration and body composition.
Lead investigator: | Dr Alexandra Hanlon |
Lead institution: | University of Pennsylvania |
3 related Returns
Return ID | App ID | Description | Archive Date |
1470 | 3474 | Differences in morning-evening type and sleep duration between black and white adults: Results from a propensity-matched UK Biobank sample | 5 Jul 2018 |
536 | 3474 | Interactive effects of sleep duration and morning/ evening preference on cardiovascular risk factors | 5 Jun 2017 |
535 | 3474 | Smoking, screen-based sedentary behaviour, and diet associated with habitual sleep duration and chronotype: data from the UK Biobank | 5 Jun 2017 |