Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60–69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study
Sun P, Guo X, Ding E, Li C, Ren H, Xu Y, Qian J, Deng F, Shi W, Dong H, Lin E, Guo P, Fang J, Zhang Q, Zhao W, Tong S, Lu X, Pollitt K, Shi X, Tang S. Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60–69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study. Environmental Health Perspectives 2024, 132: 077005. PMID: 39028628, PMCID: PMC11259245, DOI: 10.1289/ehp13865.Peer-Reviewed Original ResearchConceptsFat mass indicatorsHealthy older adultsBayesian kernel machine regressionVisceral fat areaOlder adultsPercent body fatBody compositionBody fat massExposome-wide association studyPrevention of chronic diseasesAir pollution exposureBody composition indicatorsMediation analysisInBody 770 deviceHealthy adultsAssociated with increased body fat massBody composition changesKernel machine regressionBayesian kernel machine regression modelsChronic diseasesPollution exposureBody fatAssociation studiesAdverse health effectsFat areaAssociations between serum per- and polyfluoroalkyl substances and thyroid hormones in Chinese adults: A nationally representative cross-sectional study
Xing Y, Li Z, Wang J, Qu Y, Hu Q, Ji S, Chang X, Zhao F, Lv Y, Pan Y, Shi X, Dai J. Associations between serum per- and polyfluoroalkyl substances and thyroid hormones in Chinese adults: A nationally representative cross-sectional study. Environment International 2024, 184: 108459. PMID: 38320373, DOI: 10.1016/j.envint.2024.108459.Peer-Reviewed Original ResearchConceptsRestricted cubic splinesBayesian kernel machine regressionNationally representative cross-sectional studyNonlinear dose-response associationDose-response associationChinese adult populationWeighted multiple linear regressionGeneral Chinese populationCross-sectional studyNationally representative dataYounger age groupsKernel machine regressionChinese adultsInverse associationG-computationPerfluoroheptane sulfonic acidQuantile-based g-computationAdult populationRepresentative dataSignificant associationPositive associationThyroid homeostasisChinese populationMultiple linear regressionAge groups