Association between volatile organic compounds exposure and cardiometabolic function: a population-based study DOI Creative Commons
Qiuyu Wang, Yongping Cao, Fei Ma

et al.

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

Published: April 23, 2025

The Cardiometabolic Index (CMI) is a new metric used to assess an individual's cardiovascular and metabolic status. Volatile Organic Compounds (VOCs) are common environmental pollutants associated with diseases lipid metabolism disorders. This study aims investigate the relationship between VOC exposure CMI. Data from NHANES (2011-2020) were impact of on cardiometabolic function. Multivariable linear regression was analyze association VOCs Restricted cubic spline models applied model nonlinear BKMR (bayesian kernel machine regression), WQS (weighted quantile sum), Q-gcomp (quantile g-computation) employed explore mixture Subgroup analyses conducted CMI across different subgroups. Multiple analysis confirmed significantly positive associations highest quartile concentrations CEMA, 3HPMA, MHBMA3, HMPMA compared lowest (β = 0.43, 95% CI 0.20, 0.67, P for trend < 0.001; β 0.30, 0.05, 0.55, 0.006; 0.37, 0.14, 0.61, 0.28, 0.01, 0.010). AAMC SBMA showed Results indicated that CEMA contributed most BKMR, WQS, overall revealed significant interactions BMI diabetes status in CMI, especially among individuals ≥ 30 those diabetes. found specific exposures Additionally, play important roles moderating These findings highlight potential health which provides evidence public interventions.

Language: Английский

Association between volatile organic compounds exposure and cardiometabolic function: a population-based study DOI Creative Commons
Qiuyu Wang, Yongping Cao, Fei Ma

et al.

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

Published: April 23, 2025

The Cardiometabolic Index (CMI) is a new metric used to assess an individual's cardiovascular and metabolic status. Volatile Organic Compounds (VOCs) are common environmental pollutants associated with diseases lipid metabolism disorders. This study aims investigate the relationship between VOC exposure CMI. Data from NHANES (2011-2020) were impact of on cardiometabolic function. Multivariable linear regression was analyze association VOCs Restricted cubic spline models applied model nonlinear BKMR (bayesian kernel machine regression), WQS (weighted quantile sum), Q-gcomp (quantile g-computation) employed explore mixture Subgroup analyses conducted CMI across different subgroups. Multiple analysis confirmed significantly positive associations highest quartile concentrations CEMA, 3HPMA, MHBMA3, HMPMA compared lowest (β = 0.43, 95% CI 0.20, 0.67, P for trend < 0.001; β 0.30, 0.05, 0.55, 0.006; 0.37, 0.14, 0.61, 0.28, 0.01, 0.010). AAMC SBMA showed Results indicated that CEMA contributed most BKMR, WQS, overall revealed significant interactions BMI diabetes status in CMI, especially among individuals ≥ 30 those diabetes. found specific exposures Additionally, play important roles moderating These findings highlight potential health which provides evidence public interventions.

Language: Английский

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