Associations of sleep, lifestyle, and physiological markers with healthspan termination: a prospective cohort analysis.
The determinants of chronic diseases are complex, and we demonstrated how lifestyle-related factors interact with physiological factors to influence the risk of healthspan termination (HST).
This prospective cohort study include 217,412 UK Biobank participants aged 37 to 73. Multivariate-adjusted Cox regression models assessed individual associations between physiological and lifestyle-related factors with HST. Weighted Quantile Sum (WQS) regression models examined the relative importance of each risk factor and their cumulative effects on HST. Structural Equation Modeling (SEM) was conducted to clarify pathways linking lifestyle, physiological factors, and HST.
We observed statistically significant associations between lifestyle-related and physiological factors with HST. WQS models also indicates that unhealthy lifestyle (OR = 2.77; 95% CI: 2.65-2.89; P < 0.01) and physiological factors (OR = 3.27; 95% CI: 3.06-3.50; P < 0.01) substantially increased risk of HST. Path analysis revealed that healthspan was positively correlated with biomarker (r = 0.03; P < 0.01), sleep behavior (r = 0.14; P < 0.01), and lifestyle (r = 0.16; P < 0.01), but negatively correlated with mental health (r = -0.13; P < 0.01).
Lifestyle-related factors interact with physiological factors through multiple pathways, influencing the risk of a shortened healthspan.
This prospective cohort study include 217,412 UK Biobank participants aged 37 to 73. Multivariate-adjusted Cox regression models assessed individual associations between physiological and lifestyle-related factors with HST. Weighted Quantile Sum (WQS) regression models examined the relative importance of each risk factor and their cumulative effects on HST. Structural Equation Modeling (SEM) was conducted to clarify pathways linking lifestyle, physiological factors, and HST.
We observed statistically significant associations between lifestyle-related and physiological factors with HST. WQS models also indicates that unhealthy lifestyle (OR = 2.77; 95% CI: 2.65-2.89; P < 0.01) and physiological factors (OR = 3.27; 95% CI: 3.06-3.50; P < 0.01) substantially increased risk of HST. Path analysis revealed that healthspan was positively correlated with biomarker (r = 0.03; P < 0.01), sleep behavior (r = 0.14; P < 0.01), and lifestyle (r = 0.16; P < 0.01), but negatively correlated with mental health (r = -0.13; P < 0.01).
Lifestyle-related factors interact with physiological factors through multiple pathways, influencing the risk of a shortened healthspan.