Abstract

Background: Self-reported short and long sleep duration have been associated with adverse cardiometabolic health outcomes in laboratory and epidemiologic studies, but interpretation of such data has been limited by methodological issues. Methods: We analyzed adult 2007-2008 US National Health and Nutrition Examination Survey (NHANES) data (N=5,649). Average self-reported nightly sleep duration was reported and categorized as either very short (<5h), short (5-6h), normal (7-8h), or long (≥9h). Self-reported as well as objective evidence of obesity, diabetes, hypertension, and hyperlipidemia were recorded. Univariate comparisons were conducted across sleep duration categories for all variables. Binary logistic regression analyses were performed using cardiometabolic factor as the outcome variable, and sleep duration category as the predictor variable, before and after adjusting for age, sex, race/ethnicity, acculturation, education, access to insurance, food security, home ownership, smoking, and caffeine use. Results: See table. In adjusted analyses, very short sleep was associated with self-reported hypertension, self-reported hyperlipidemia, objective hyperlipidemia, self-reported diabetes, and objective obesity. Regarding short sleep (5-6hrs), in adjusted analyses, elevated risk was seen for self-reported hypertension self-reported obesity and objective obesity. Regarding long sleep (≥9hrs), no elevated risk was found for any outcomes. Conclusions: Very short and short sleep duration are associated with self-reported and objectively-determined adverse cardiometabolic outcomes, even after adjustment for covariates. Table 1. Unadjusted and Adjusted Odds Ratios (OR) and 95% Confidence Intervals (95%CI) of Associations between Sleep Duration and Cardiometabolic Disease Outcomes *Adjusted analyses include age, sex, race/ethnicity, acculturation, education, insurance, home ownership, food security, smoking, and caffeine

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call