Your browser doesn't support javascript.
loading
Association of urinary metal levels with metabolic syndrome in coal workers.
Li, Ben; Zhang, Qianwen; Chang, Xiaohan; Shen, Yongmei; Liu, Ting; Liang, Xiaomin; Gao, Qian; Liu, Liangpo; Qiu, Yulan; Yan, Xiaoyan; Huang, Jianjun; Wang, Tong; Yin, Jinzhu.
Afiliação
  • Li B; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Zhang Q; Shanxi Health Commission Key Laboratory of Nervous System Disease Prevention and Treatment, Sinopharm Tongmei General Hospital, 1 Wei 7 Street, Datong, Shanxi, China.
  • Chang X; Shanxi Coal Mine Public Health Graduate Education Innovation Center, Datong, Shanxi, China.
  • Shen Y; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Liu T; Shanxi Coal Mine Public Health Graduate Education Innovation Center, Datong, Shanxi, China.
  • Liang X; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Gao Q; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Liu L; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Qiu Y; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Yan X; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Huang J; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Wang T; School of Public Health, Shanxi Medical University, Taiyuan, China.
  • Yin J; School of Public Health, Shanxi Medical University, Taiyuan, China.
Environ Sci Pollut Res Int ; 30(22): 62892-62904, 2023 May.
Article em En | MEDLINE | ID: mdl-36952162
ABSTRACT
Studies have indicated that metal exposure is associated with an increased risk of metabolic syndrome (MetS). However, it is unclear whether overexposure to heavy metals occurs in miners and is associated with MetS risk remains unclear. In a cross-sectional study, analysis for metal exposure levels of 3428 participants from three types of workplaces was conducted. Relationships between metals in urine and MetS were characterized using a multivariate binary logistic regression model and restricted cubic spline analysis. The association between urinary metals and workplaces with respect to MetS was studied via mediation analysis and multiplicative interaction analysis. And a sensitivity analysis was performed to assess the robustness of the association between MetS and urinary metals in participants without obesity (n = 2811). Zn, Cu, Fe, Co, and Ni were found to be associated with MetS in the single-metal models, whereas only Zn and Cu showed considerable associations in the multimetal model. The odds ratios (95% CI) for MetS in the highest quartiles were 2.089 (1.611, 2.707) for urinary Zn and 1.394 (1.084, 1.794) for urinary Cu (both false discovery rate for both was < 0.05). Urinary Zn and Cu were positively associated with hypertriglyceridemia. In addition, higher Zn exposure was confirmed in underground workers than ground workers and office workers, and there was a significant association between urinary metal exposure and workplace, which together influenced the occurrence of MetS. These results provided scientific evidence for the relationship between Zn, Cu, workplaces, and MetS in coal workers and indicated that it is critical to reduce occupational metal exposure, especially in underground workers.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exposição Ocupacional / Metais Pesados / Síndrome Metabólica Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exposição Ocupacional / Metais Pesados / Síndrome Metabólica Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2023 Tipo de documento: Article