학술논문

Associations of chronotype and sleep patterns with metabolic syndrome in the Hispanic community health study/study of Latinos
Document Type
article
Source
Chronobiology International. 39(8)
Subject
Biomedical and Clinical Sciences
Public Health
Health Sciences
Basic Behavioral and Social Science
Sleep Research
Prevention
Behavioral and Social Science
Clinical Research
Good Health and Well Being
Aged
Circadian Rhythm
Cross-Sectional Studies
Hispanic or Latino
Humans
Jet Lag Syndrome
Metabolic Syndrome
Sleep
Surveys and Questionnaires
Sleep patterns
chronotype
circadian misalignment
metabolic syndrome
Biological Sciences
Medical and Health Sciences
Physiology
Biological sciences
Biomedical and clinical sciences
Health sciences
Language
Abstract
Sleep duration, sleep efficiency, and sleep timing have been shown to have potential effects on metabolic functions relevant to circadian rhythms. It is not clear if the impact of sleep patterns on metabolic risk factors is through sociocultural and environmental factors or circadian misalignment. We investigated the associations of sleep patterns, chronotype, and social jet lag with metabolic syndrome among non-shift worker Hispanic/Latino adults. We used cross-sectional data from the Sueño Ancillary Study of The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Data from a subsample of 2189 participants aged 18-64 years were used in the analysis. Mean nightly sleep duration, mean sleep onset time, mean sleep offset time, mean sleep midpoint time, sleep efficiency, sleep variability (standard deviation (SD) of sleep duration, and SD of sleep midpoint), and time spent above light exposure threshold (1000 lux) in a day were assessed by wrist actigraphy (Acti-watch Spectrum). Chronotype was determined by the reduced Morningness-Eveningness Questionnaire. Medical conditions including dyslipidemia, hypertension, and diabetes mellitus were determined from a fasting blood specimen and physical exam at the baseline visit. To determine whether sleep patterns, light levels, chronotype, and social jetlag are associated with metabolic syndrome, multivariable logistic regression models were fitted, including variables with P