Heavy metals and metalloids exposure and liver function in Chinese adults — A nationally representative cross-sectional study
Wang S, Lyu Y, Ji S, Liu N, Wu B, Zhao F, Li Z, Qu Y, Zhu Y, Xie L, Li Y, Zhang Z, Song H, Hu X, Qiu Y, Zheng X, Zhang W, Yang Y, Li F, Cai J, Zhu Y, Cao Z, Tan F, Shi X. Heavy metals and metalloids exposure and liver function in Chinese adults — A nationally representative cross-sectional study. Environmental Research 2024, 252: 118653. PMID: 38518907, DOI: 10.1016/j.envres.2024.118653.Peer-Reviewed Original ResearchHeavy metalsEffects of heavy metalsChinese adultsHuman biomonitoring surveyMetalloid exposureBiomonitoring surveysEnvironmental presenceSample of Chinese adultsBenefits of seleniumCross-sectional studyHigher concentrationsNo significant associationMetalloidsLiver functionAspartate aminotransferaseAlcohol consumptionAlanine aminotransferaseAlcohol intakeSeleniumManganeseSignificant associationHealthMetalLiver healthAnalyzed dataAssociations 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