ArticleIn vivo (Athens, Greece)
Sleep Duration and Depression as Predictors of Cancer Incidence in Middle-aged and Older Adults: A Longitudinal Analysis from the China Health and Retirement Longitudinal Study (CHARLS).
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Abstract
BACKGROUND/
aimThe present study aimed to investigate the association between sleep duration and the risk of newly-onset cancer among middle-aged and elderly adults, and to examine the effect of depression on this association. PATIENTS AND
methodsThe data from 9,400 participants in the China Health and Retirement Longitudinal Study (CHARLS, 2011-2020) were analyzed. Cox proportional hazards regression models, Kaplan-Meier survival curves, restricted cubic spline (RCS) regression, and threshold-effect analysis were employed to evaluate the relationship between sleep duration and cancer risk. Furthermore, subgroup analyses were conducted to explore potential heterogeneity across populations.
resultsOver a median follow-up period of 9.0 years, 271 participants (2.9%) developed newly-onset cancer. Longer sleep duration was associated with a reduced risk of incident cancer [fully adjusted hazard ratio (HR)=0.65, 95% confidence interval (CI)=0.51-0.84]. RCS regression indicated a nonlinear association between sleep duration and the risk of cancer incidence (nonlinearity
conclusionLonger sleep duration (≥5 h) is independently associated with a lower risk of newly-onset cancer in middle-aged and elderly adults, particularly in those with depression. These findings highlight the importance of sleep health for cancer prevention.
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