Exposure to fine particulate matter constituents increases sarcopenia risk in middle-aged and elderly Chinese adults

Growing evidence has underscored the adverse role of air pollutants in the pathogenesis of sarcopenia, while there lacks knowledge over the relationships between PM2.5 constituents and sarcopenia. This study included 6666 participants aged 45 years and above from the China Health and Retirement Longitudinal Study in 2011, of which 2538 were followed up until 2015. Average concentrations of PM2.5 and its constituents (sulfate, nitrate, ammonium, organic matter [OM], black carbon [BC]) were retrieved from Tracking Air Pollution in China (TAP) database. In the cross-sectional analyses, we employed multivariate logistic regression, generalized linear model, and restricted cubic spline function to analyze the individual relationships of air pollutants with sarcopenia prevalence and sarcopenia-related index (SI). A lower SI is generally associated with a greater risk of sarcopenia. Quantile-based g-computation model was used to clarify the joint effect of multiple PM2.5 components and their relative weights of contributions. Cox proportional hazard model was established to ascertain the longitudinal impacts of air pollutants on sarcopenia incidence. For each interquartile range increment of PM2.5, sulfate, nitrate, ammonium, OM, and BC, the adjusted ORs for sarcopenia were 1.42 (95% CI, 1,14 to 1.77), 1.42 (95% CI, 1.14 to 1.76), 1.38 (95% CI, 1.09 to 1.75), 1.36 (95% CI, 1.09 to 1.70), 1.35 (95% CI, 1.09 to 1.67), and 1.39 (95% CI, 1.15 to 1.68), respectively. Consistently, we found a negative relationship between air pollutants and SI. Multi-pollutant analyses suggested that sarcopenia risk was linearly associated with exposure mixtures, with sulfate identified as the dominant driver of joint effect. In addition, the findings from concentration-response curves, subgroup analyses, sensitivity analyses, and longitudinal analyses further supported the harm of PM2.5 and its constituents on sarcopenia development. Our study demonstrates a positive association of single and joint exposure to PM2.5 and its components with sarcopenia risk, offering additional implications on early screening and management of sarcopenia.

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Publication Details

Journal
BMC Public Health
Published
2025-12-01
DOI
https://doi.org/10.1186/s12889-025-25650-4
Citations
1
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
1.16
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article

Exposure to fine particulate matter constituents increases sarcopenia risk in middle-aged and elderly Chinese adults

Xian-Zhi Li, Lili Gao, Xiaoqi Wang, Wu Wang et al.
1 citations
BMC Public Health
Nutrition and Health in Aging
1.16
article

Exposure to fine particulate matter constituents increases sarcopenia risk in middle-aged and elderly Chinese adults

Xian-Zhi Li, Lili Gao, Xiaoqi Wang, Wu Wang, Ting Wang, Jiyu Li, Guozhen Zhang, Zonglei Zhou, Kun-Peng Li
article en
1 citations

Abstract

Growing evidence has underscored the adverse role of air pollutants in the pathogenesis of sarcopenia, while there lacks knowledge over the relationships between PM2.5 constituents and sarcopenia. This study included 6666 participants aged 45 years and above from the China Health and Retirement Longitudinal Study in 2011, of which 2538 were followed up until 2015. Average concentrations of PM2.5 and its constituents (sulfate, nitrate, ammonium, organic matter [OM], black carbon [BC]) were retrieved from Tracking Air Pollution in China (TAP) database. In the cross-sectional analyses, we employed multivariate logistic regression, generalized linear model, and restricted cubic spline function to analyze the individual relationships of air pollutants with sarcopenia prevalence and sarcopenia-related index (SI). A lower SI is generally associated with a greater risk of sarcopenia. Quantile-based g-computation model was used to clarify the joint effect of multiple PM2.5 components and their relative weights of contributions. Cox proportional hazard model was established to ascertain the longitudinal impacts of air pollutants on sarcopenia incidence. For each interquartile range increment of PM2.5, sulfate, nitrate, ammonium, OM, and BC, the adjusted ORs for sarcopenia were 1.42 (95% CI, 1,14 to 1.77), 1.42 (95% CI, 1.14 to 1.76), 1.38 (95% CI, 1.09 to 1.75), 1.36 (95% CI, 1.09 to 1.70), 1.35 (95% CI, 1.09 to 1.67), and 1.39 (95% CI, 1.15 to 1.68), respectively. Consistently, we found a negative relationship between air pollutants and SI. Multi-pollutant analyses suggested that sarcopenia risk was linearly associated with exposure mixtures, with sulfate identified as the dominant driver of joint effect. In addition, the findings from concentration-response curves, subgroup analyses, sensitivity analyses, and longitudinal analyses further supported the harm of PM2.5 and its constituents on sarcopenia development. Our study demonstrates a positive association of single and joint exposure to PM2.5 and its components with sarcopenia risk, offering additional implications on early screening and management of sarcopenia.

BMC Public HealthVol. 26(1)
Shanghai University of Sport (CN), Fudan University (CN), Pudong Medical Center (CN), Panzhihua Central Hospital (CN)
Openalex Percentile: Top 16%
Nutrition and Health in Aging
1.16
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