Circadian syndrome and mortality risk in adults aged ≥ 40 years: a prospective cohort analysis of CHARLS and NHANES DOI Creative Commons
Kun Zheng,

Mengdi Wu,

Yanjie Cao

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 28, 2025

Circadian rhythm disruption is increasingly prevalent and associated with higher morbidity mortality. This study investigates the relationship between Rhythm Syndrome (CircS) mortality in middle-aged older adults. prospective cohort utilized follow-up data from China Health Retirement Longitudinal Study (CHARLS) National Nutrition Examination Survey (NHANES). Cox proportional hazards models examined association CircS all-cause mortality, while restricted cubic spline analysis explored non-linear relationships. Subgroup analyses investigated potential modifying factors. Bayesian generalized linear were used to explore relationships specific causes of death. The included 7,637 participants CHARLS (2011-2020) 9,320 NHANES (2005-2018), 142 1,321 deaths. periods 9.17 years for 15 NHANES. was significantly increased risk (CHARLS: HR 1.79, 95% CI: 1.23-2.62; NHANES: 1.21, 1.03-1.42). A dose-response observed number components risk. positively diabetes, cardiovascular, cerebrovascular, kidney-related diseases. strongly These findings underscore importance addressing circadian disruptions public health strategies.

Language: Английский

Circadian syndrome and mortality risk in adults aged ≥ 40 years: a prospective cohort analysis of CHARLS and NHANES DOI Creative Commons
Kun Zheng,

Mengdi Wu,

Yanjie Cao

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 28, 2025

Circadian rhythm disruption is increasingly prevalent and associated with higher morbidity mortality. This study investigates the relationship between Rhythm Syndrome (CircS) mortality in middle-aged older adults. prospective cohort utilized follow-up data from China Health Retirement Longitudinal Study (CHARLS) National Nutrition Examination Survey (NHANES). Cox proportional hazards models examined association CircS all-cause mortality, while restricted cubic spline analysis explored non-linear relationships. Subgroup analyses investigated potential modifying factors. Bayesian generalized linear were used to explore relationships specific causes of death. The included 7,637 participants CHARLS (2011-2020) 9,320 NHANES (2005-2018), 142 1,321 deaths. periods 9.17 years for 15 NHANES. was significantly increased risk (CHARLS: HR 1.79, 95% CI: 1.23-2.62; NHANES: 1.21, 1.03-1.42). A dose-response observed number components risk. positively diabetes, cardiovascular, cerebrovascular, kidney-related diseases. strongly These findings underscore importance addressing circadian disruptions public health strategies.

Language: Английский

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