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Association between actigraphic sleep metrics and body composition.
Michael D Wirth1, James R Hébert1, Gregory A Hand2
1South Carolina Statewide Cancer Prevention and Control Program, University of South Carolina, Columbia; Department of Epidemiology and Biostatistics, University of South Carolina, Columbia.
Annals of Epidemiology
|June 14, 2015
Summary
Poor sleep quality, including low sleep efficiency and frequent awakenings, is linked to higher body mass and body fat. These findings highlight sleep
Area of Science:
- Integrative physiology and metabolic health.
- Sleep science and chronobiology.
- Obesity research and public health.
Background:
- Sleep disturbances are increasingly prevalent.
- Obesity is a major public health concern.
- The relationship between sleep characteristics and body composition requires further investigation.
Purpose of the Study:
- To investigate the association between poor sleep characteristics and body mass index (BMI) or body fat percentage.
- To examine specific sleep metrics such as sleep onset, wake times, sleep duration, sleep latency, sleep efficiency, and wake after sleep onset.
Main Methods:
- Cross-sectional analysis of data from the Energy Balance Study.
- Participants aged 21–35 years with BMI 20–35 kg/m(2).
- Objective measurement of body fat by dual X-ray absorptiometry and sleep/physical activity by actigraphy (SenseWear armband).
- Statistical analysis using general linear models to assess mean BMI and body fat percent across sleep metric categories.
Main Results:
- Low sleep efficiency and high wake after sleep onset were significantly associated with greater BMI and body fat percentage.
- Later wake times, shorter sleep duration, and longer sleep latency also showed elevated BMI and body fat.
- Sex was identified as a modifying factor in the relationship between wake times and body composition.
Conclusions:
- Poor sleep characteristics are linked to increased adiposity.
- Objective sleep measures, like those from the SenseWear armband, can quantify these relationships.
- Integrating sleep assessment into weight management strategies may improve chronic disease prevention and treatment outcomes.
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