Relationship between air pollution exposure and insulin resistance in Chinese middle-aged and older populations: evidence from Chinese cohort DOI Creative Commons

Ping Liu,

Zhaoliang Zhang, Min Luo

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 2, 2025

Aims This study aimed to determine the relationships between mixed exposure six air pollutants, namely, particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM ), PM 10 sulfur dioxide (SO 2 nitrogen (NO cobalt (CO) and ozone (O 3 insulin resistance (IR) indices in Chinese middle-aged older populations. Methods A total 2,219 participants from China Health Retirement Longitudinal Study (CHARLS), who are followed 2011 2015, were included. Surface pollutant concentration data obtained High Air Pollutants (CHAP) database. Multivariable linear regression analysis was used examine longitudinal associations different pollutants various IR indices. Additionally, Bayesian kernel machine (BKMR), weighted quantile sum (WQS) regression, quantile-based g computation (Qgcomp) further utilized assess effects pollutants. Results Fully adjusted models revealed that increases levels (in μg/m ) associated higher triglyceride–glucose–body mass index (TyG-BMI; Beta = 0.027–0.128), triglyceride–glucose–waist circumference (TyG-WC; 0.155–0.674), metabolic score for (METS-IR; 0.001–0.029) values during four-year follow-up period. Further mixture indicated combined had a significant cumulative effect on these three Among NO O identified as primary contributor effect. The result mediation supported mediating role BMI relationship pollution (mediation proportion: 49.1%–93.5%). results both subgroup sensitivity detrimental IR. Conclusion Both individual exposures significantly individuals, our providing new evidence.

Language: Английский

Relationship between air pollution exposure and insulin resistance in Chinese middle-aged and older populations: evidence from Chinese cohort DOI Creative Commons

Ping Liu,

Zhaoliang Zhang, Min Luo

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 2, 2025

Aims This study aimed to determine the relationships between mixed exposure six air pollutants, namely, particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM ), PM 10 sulfur dioxide (SO 2 nitrogen (NO cobalt (CO) and ozone (O 3 insulin resistance (IR) indices in Chinese middle-aged older populations. Methods A total 2,219 participants from China Health Retirement Longitudinal Study (CHARLS), who are followed 2011 2015, were included. Surface pollutant concentration data obtained High Air Pollutants (CHAP) database. Multivariable linear regression analysis was used examine longitudinal associations different pollutants various IR indices. Additionally, Bayesian kernel machine (BKMR), weighted quantile sum (WQS) regression, quantile-based g computation (Qgcomp) further utilized assess effects pollutants. Results Fully adjusted models revealed that increases levels (in μg/m ) associated higher triglyceride–glucose–body mass index (TyG-BMI; Beta = 0.027–0.128), triglyceride–glucose–waist circumference (TyG-WC; 0.155–0.674), metabolic score for (METS-IR; 0.001–0.029) values during four-year follow-up period. Further mixture indicated combined had a significant cumulative effect on these three Among NO O identified as primary contributor effect. The result mediation supported mediating role BMI relationship pollution (mediation proportion: 49.1%–93.5%). results both subgroup sensitivity detrimental IR. Conclusion Both individual exposures significantly individuals, our providing new evidence.

Language: Английский

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