Regular physical activity is associated with slightly lower subsequent depressive symptoms in Chinese adults aged 18–64 years: a longitudinal double machine learning and causal forest study
Abstract
IntroductionPhysical activity is widely associated with better mental health, but observational estimates can be distorted by pre-existing health and socioeconomic differences, and it remains unclear whether potential benefits can be reliably individualized. We examined the association between regular physical activity and subsequent depressive symptoms among Chinese adults and evaluated whether treatment-effect heterogeneity was interpretable and predictively useful.MethodsWe used three waves of the China Family Panel Studies (CFPS; 2018, 2020, and 2022). Depressive symptoms, prior physical activity, and demographic, health, and socioeconomic characteristics measured in 2018 were treated as pre-exposure covariates. Regular physical activity was defined as participation at least once per week in 2020, and the 2022 Center for Epidemiologic Studies Depression Scale (CES-D) score was the outcome. The main analytic sample included 10,159 adults aged 18–64 years. Average effects were estimated using DoubleML-IRM with random-forest learners, household-clustered 5-fold cross-fitting, and 10 repeated sample splits. Causal forests were used to examine conditional treatment-effect heterogeneity and cross-fitted benefit ranking. Sensitivity analyses included alternative exposure definitions, common-support restriction, complete cases, and inverse-probability-of-observation weighting for attrition.ResultsThe revised household-clustered DoubleML estimate was −0.1833 CES-D points (SE = 0.0921, 95% CI: −0.3637 to −0.0028, p = 0.0465), indicating a small negative average association. The complete-case estimate was similar (−0.1693, SE = 0.0986, 95% CI: −0.3625 to 0.0239, p = 0.0859), and the attrition-weighted sensitivity estimate was −0.2088 (95% CI: −0.3783 to −0.0393, p = 0.0158). Causal-forest calibration suggested some treatment-effect heterogeneity, but benefit-oriented AUTOC and QINI were not statistically significant; socioeconomic gradients were unstable, and the larger estimated benefit among unmarried participants remained exploratory.DiscussionRegular physical activity was associated with a small subsequent reduction in depressive symptoms, but the magnitude was modest and the observational design does not support strong causal or clinical claims. Household-aware inference and attrition weighting did not materially change the direction of the estimate. Although heterogeneity signals were present, the available covariates did not support reliable individual-level prioritization.
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BibTeX
@article{niu2026regular,
title = {{Regular physical activity is associated with slightly lower subsequent depressive symptoms in Chinese adults aged 18–64 years: a longitudinal double machine learning and causal forest study}},
author = {Qun Niu and Yong Zhang and Ranran Yue},
journal = {Frontiers in Public Health},
year = {2026},
month = nov,
doi = {10.3389/fpubh.2026.1966094},
url = {https://www.frontiersin.org/articles/10.3389/fpubh.2026.1966094},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Regular physical activity is associated with slightly lower subsequent depressive symptoms in Chinese adults aged 18–64 years: a longitudinal double machine learning and causal forest study
AU - Qun Niu
AU - Yong Zhang
AU - Ranran Yue
PY - 2026
DA - 2026/11/04
JO - Frontiers in Public Health
DO - 10.3389/fpubh.2026.1966094
UR - https://www.frontiersin.org/articles/10.3389/fpubh.2026.1966094
AB - IntroductionPhysical activity is widely associated with better mental health, but observational estimates can be distorted by pre-existing health and socioeconomic differences, and it remains unclear whether potential benefits can be reliably individualized. We examined the association between regular physical activity and subsequent depressive symptoms among Chinese adults and evaluated whether treatment-effect heterogeneity was interpretable and predictively useful.MethodsWe used three waves of the China Family Panel Studies (CFPS; 2018, 2020, and 2022). Depressive symptoms, prior physical activity, and demographic, health, and socioeconomic characteristics measured in 2018 were treated as pre-exposure covariates. Regular physical activity was defined as participation at least once per week in 2020, and the 2022 Center for Epidemiologic Studies Depression Scale (CES-D) score was the outcome. The main analytic sample included 10,159 adults aged 18–64 years. Average effects were estimated using DoubleML-IRM with random-forest learners, household-clustered 5-fold cross-fitting, and 10 repeated sample splits. Causal forests were used to examine conditional treatment-effect heterogeneity and cross-fitted benefit ranking. Sensitivity analyses included alternative exposure definitions, common-support restriction, complete cases, and inverse-probability-of-observation weighting for attrition.ResultsThe revised household-clustered DoubleML estimate was −0.1833 CES-D points (SE = 0.0921, 95% CI: −0.3637 to −0.0028, p = 0.0465), indicating a small negative average association. The complete-case estimate was similar (−0.1693, SE = 0.0986, 95% CI: −0.3625 to 0.0239, p = 0.0859), and the attrition-weighted sensitivity estimate was −0.2088 (95% CI: −0.3783 to −0.0393, p = 0.0158). Causal-forest calibration suggested some treatment-effect heterogeneity, but benefit-oriented AUTOC and QINI were not statistically significant; socioeconomic gradients were unstable, and the larger estimated benefit among unmarried participants remained exploratory.DiscussionRegular physical activity was associated with a small subsequent reduction in depressive symptoms, but the magnitude was modest and the observational design does not support strong causal or clinical claims. Household-aware inference and attrition weighting did not materially change the direction of the estimate. Although heterogeneity signals were present, the available covariates did not support reliable individual-level prioritization.
SN - 2296-2565
ER -