Association between household solid fuel usage and trajectories of multimorbidity among middle-aged and older adults: a nationwide population-based cohort study

家庭固体燃料使用与中老年人多种疾病发展轨迹之间的关联:一项全国性基于人群的队列研究

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Abstract

BACKGROUND: This study aimed to explore the effect of household solid fuel usage on the multimorbidity trajectories among middle-aged and older adults. METHODS: Based on the 2011-2018 China Health and Retirement Longitudinal Study, the group-based trajectory modeling and the multinomial logistic regression model were used to explore the relationship between multimorbidity trajectories of older adults with different fuel types, duration of solid fuel usage, and potential interaction with PM(2.5). Three multimorbidity trajectory patterns were identified by group-based trajectory modeling and labeled as "non-chronic morbidity" (no disease increase), "newly developing multimorbidity" (diseases grew from 0 to 2), and "multi-chronic multimorbidity" (diseases grew from 2 to 4). RESULTS: Compared to "Non-chronic morbidity," solid fuel was significantly associated with adverse multimorbidity trajectories, with an odds ratio (OR) and 95% confidence interval (CI) of 1.33 (1.11, 1.60) and 1.35 (1.18, 1.55) for newly developing and multi-chronic group, respectively. An adverse multimorbidity trajectory tended to be established with longer durations of solid fuel usage than "Non-chronic morbidity." For "Newly-developing multimorbidity," the ORs (95% CI) for 1-7 years and ≥ 8 years of solid fuel usage were 1.16 (0.94, 1.42) and 1.41 (1.12, 1.76), respectively, with P trend=0.001, while in "Multi-chronic multimorbidity," those were 1.25 (1.07, 1.47) and 1.68 (1.41, 2.00), respectively, with P trend <0.001. In the interaction analysis, the association between solid fuel usage and trajectories was significant only in areas where PM(2.5) was lower than 50 μg/m(3). CONCLUSION: For the middle-aged and older Chinese population, a higher risk of multimorbidity trajectory is associated with household solid fuel usage, especially in the areas with lower PM(2.5).

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