Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125152 - 125152
Published: Oct. 1, 2024
Language: Английский
Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125152 - 125152
Published: Oct. 1, 2024
Language: Английский
Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 296, P. 118180 - 118180
Published: April 11, 2025
Language: Английский
Citations
0Toxics, Journal Year: 2025, Volume and Issue: 13(5), P. 328 - 328
Published: April 23, 2025
Air pollution is closely associated with the development of multiple metabolic diseases. Circadian syndrome (CircS), as an extended concept (MetS), has been proven to be a better predictor diseases than MetS. However, relationship between volatile organic compounds (VOCs) and CircS in pre- postmenopausal women remains unclear. This study used data from National Health Nutrition Examination Survey (NHANES) 2011–2020, including 520 premenopausal 531 women. Generalized linear model (GLM), restricted cubic spline (RCS) model, subgroup analyses, weighted quantile sum (WQS) were assess VOCs CircS. In addition, sensitivity analyses performed evaluate robustness results. Our findings showed that seven VOC metabolites positively risk women, only two The WQS analysis further confirmed mixtures selected by least absolute shrinkage selection operator (LASSO) significantly increased HPMMA identified primary contributor combined effect. association was not evident Meanwhile, individual urinary observed elevated glucose short sleep. results highlighted exposure strongly occurrence Further research needed confirm this conclusion.
Language: Английский
Citations
0Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12
Published: July 15, 2024
Objective The effect of environmental pollution on sleep has been widely studied, yet the relationship between exposure to volatile organic compounds (VOCs) and health requires further exploration. We aimed investigate single mixed urinary VOC metabolites identify potential mediators. Methods Data for this cross-sectional study was collected from National Health Nutrition Examination Surveys (NHANES) (2005–2006, 2011–2014). A weighted multivariate logistic regression established explore associations 16 VOCs with four outcomes. Following selection important through least absolute shrinkage operator (LASSO) regression, principal component analyses (PCA), weight quantile sum (WQS), Bayesian kernel machine (BKMR) were conducted outcomes, as well most contributing components. mediation analysis performed depression scores. Results Of 3,473 participants included in study, a total 618 diagnosed poor patterns. In analyses, 7, 10, 1, 5 significantly positively correlated patterns, abnormal duration, trouble sleeping, disorders, respectively. PCA showed that PC1 substantially linked higher risk patterns its WQS model revealed positive association mixture increased concentrations [OR (95% CI): 1.285 (1.107, 1.493)], duration 1.154 (1.030, 1.295)], sleeping 1.236 (1.090, 1.403)] disorders 1.378 (1.118, 1.705)]. BKMR found overall disorders. PCA, WQS, models all confirmed significant role N -acetyl- S -( -methylcarbamoyl)- l -cysteine (AMCC) score mediator index Conclusion Exposure negatively affected American population, AMCC playing role. shown mediate mixtures
Language: Английский
Citations
3Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125152 - 125152
Published: Oct. 1, 2024
Language: Английский
Citations
3