The mediating effect of engagement in physical activity over a 24-hour period on chronic disease and depression: Using compositional mediation model

调解 萧条(经济学) 置信区间 糖尿病 优势比 内科学 医学 心理学 内分泌学 政治学 法学 经济 宏观经济学
作者
Ziqiang Lin,Sui Zhu,Jinqun Cheng,Qiaoxuan Lin,Wayne R. Lawrence,Wangjian Zhang,Yanhong Huang,Yue Chen,Yanhui Gao
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:299: 264-272 被引量:5
标识
DOI:10.1016/j.jad.2021.12.019
摘要

Popular mediation method only considers a single activity as a mediator instead of all 24-hour physical activity, such as a four-way decomposition method. We investigated the mediation of 24-hour movement continuum between chronic diseases (cardiovascular disease [CVD] and diabetes) and depression using a novel compositional mediation model.24-hour activity data measured by accelerometer were obtained from NHANES 2005-2006. Adjusted coefficient with 95% confidence interval (95% CI) for PHQ-9 total score and adjusted odds ratio (OR) with 95% CI for depression were computed from compositional mediation models.In total, 2,375 participants aged ≥ 20 were included in our analysis. Both diabetes and CVD were associated with increased sedentary behavior (SB) and sleep and reduced moderate-to-vigorous physical activity (MVPA) and light-intensity physical activity (LPA), leading to an increased likelihood of depression. Although not all component indirect effects were associated with PHQ-9 total score and depression, the total indirect effect was significantly associated with both PHQ-9 total score (coefficient (95% CI) for diabetes: 0.162 (0.081, 0.261); coefficient (95% CI) for CVD: 1.139 (1.061, 1.240)) and depression (OR (95% CI) for diabetes: 0.235 (0.126, 0.362); OR (95% CI) for CVD: 1.200 (1.088, 1.346)) using the compositional mediation model.We developed a compositional mediation model for continuous and binary outcomes, which can handle entire compositional mediators as a unit. The mediation of 24-hour movement continuum mediated the association between diabetes, CVD, and depression. Our findings present potential interventions for reducing risk of depression among patients with CVD and diabetes.
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