August 18, 2021International Journal of Behavioral Nutrition and Physical Activity67 citationsOpen Access
Demographic characteristics associated with circadian rest-activity rhythm patterns: a cross-sectional study
Structured PICO
P
Population
Non-institutionalized US adults aged ≥20 years enrolled in the NHANES 2011-2014 physical activity monitoring examination with at least four 24-h periods of valid wrist accelerometer data.
O
Outcome
Association between 24-h rest-activity rhythm (RAR) metrics (amplitude, mesor, acrophase, pseudo-F statistic, interdaily stability, and intradaily variability) and age, sex, and race/ethnicity.
In the general US adult population, rest-activity rhythm patterns vary significantly by age, sex, and race/ethnicity, which may help explain demographic disparities in morbidity and mortality risk.
Abstract
BACKGROUND: Rest-activity rhythm (RAR), a manifestation of circadian rhythms, has been associated with morbidity and mortality risk. However, RAR patterns in the general population and specifically the role of demographic characteristics in RAR pattern have not been comprehensively assessed. Therefore, we aimed to describe RAR patterns among non-institutionalized US adults and age, sex, and race/ethnicity variation using accelerometry data from a nationally representative population. METHODS: This cross-sectional study was conducted using the US National Health and Nutrition Examination Survey (NHANES) 2011-2014. Participants aged ≥20 years who were enrolled in the physical activity monitoring examination and had at least four 24-h periods of valid wrist accelerometer data were included in the present analysis. 24-h RAR metrics were generated using both extended cosinor model (amplitude, mesor, acrophase and pseudo-F statistic) and nonparametric methods (interdaily stability IS and intradaily variability IV). Multivariable linear regression was used to assess the association between RAR and age, sex, and race/ethnicity. RESULTS: < 0.001). CONCLUSIONS: In the general adult population, RAR patterns vary significantly according to sex, age and race/ethnicity. These results may reflect demographic-dependent differences in intrinsic circadian rhythms and may have important implications for understanding racial, ethnic, sex and other disparities in morbidity and mortality risk.