深圳市某社区居民双酚类化合物和邻苯二甲酸酯复合暴露与超重/肥胖的关联研究

    Correlation of co-exposure to bisphenol analogues and phthalates with overweight/obesity among residents of a community in Shenzhen, China

    • 摘要:
      目的 探讨深圳市某社区居民双酚类化合物(bisphenol analogues, BPs)和邻苯二甲酸酯(phthalates, PAEs)暴露与超重/肥胖的关联。
      方法 以2018—2019年和2021—2022年在深圳市福田区某社区健康服务中心进行体检的796名成年人为研究对象, 采用超高效液相色谱-串联质谱法测定研究对象尿液中2种BPs和11种PAEs水平。通过Spearman秩相关分析研究对象尿液中BPs和PAEs浓度的相关性, 使用Logistic回归模型分别评估单一污染物水平和超重/肥胖的关联, 采用限制性立方样条函数(restricted cubic spline, RCS)评估暴露-反应关系, 采用贝叶斯核机器回归(Bayesian kernel machine regression, BKMR)模型进一步评估BPs和PAEs的联合效应。
      结果 研究对象中有400人(50.25%)为超重/肥胖, 尿液中BPs和PAEs检出率为79.27%~100.00%, 检出率最高的物质是邻苯二甲酸单(2-乙基-5-羟基己基)酯(MEHHP), 尿比重校正后的浓度中位数为12.86 ng/mL。在调整多个协变量后, Logistic回归模型显示尿邻苯二甲酸单(2-乙基-5-氧基己基)酯(MEOHP)、邻苯二甲酸单(2-乙基-5-羧基戊基)酯(MECPP)和MEHHP水平与超重/肥胖的风险增加有关(PFDR < 0.05), OR及其95%CI分别为1.29 (1.09~1.54)、1.32 (1.10~1.58)和1.38 (1.14~1.68), RCS结果显示这3种污染物和超重/肥胖均呈现正向的线性暴露-反应关系(P整体 < 0.05且P非线性>0.05)。BKMR模型中BPs和PAEs的复合暴露与超重/肥胖风险之间存在显著的正向关联, PAEs起主要作用, 且MEHHP是贡献最大的组分, MEHHP和MEOHP之间可能存在负向的交互作用。
      结论 深圳市某社区居民BPs和PAEs复合暴露与超重/肥胖之间存在显著的正向关联, MEOHP、MECPP和MEHHP作为单一污染物与超重/肥胖风险增加显著相关。

       

      Abstract:
      Objective To investigate the correlation of exposure to bisphenol analogues (BPs) and phthalates (PAEs) with overweight/obesity among residents of a community in Shenzhen, China.
      Methods A total of 796 adults who underwent routine physical examinations at a community health service center in Futian District, Shenzhen, between 2018 and 2019 and between 2021 and 2022, were enrolled as study subjects. Urine samples from these subjects were analyzed for two BPs and eleven PAEs using ultra-high performance liquid chromatography-mass spectrometry. The correlation between the concentrations of BPs and PAEs in the urine was analyzed using Spearman's correlation analysis. Logistic regression models were employed to assess the correlation between individual pollutants and overweight/obesity. Restricted cubic spline (RCS) functions were used to evaluate the exposure-response relationship, and the Bayesian kernel machine regression (BKMR) model was applied to assess the combined effect of BPs and PAEs.
      Results Among the study subjects, 400 individuals (50.25%) were classified as overweight/obesity. The detection rates of BPs and PAEs in urine ranged from 79.27% to 100.00%, with mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) having the highest detection rate and a median specific gravity-adjusted concentration of 12.86 ng/mL. After adjustment for multiple covariates, logistic regression models showed that urinary mono(2-ethyl-5-oxohexyl) phthalate (MEOHP), mono(2-ethyl-5-carboxypentyl) phthalate (MECPP), and MEHHP levels were correlated with an increased risk of overweight/obesity (PFDR < 0.05), with odds ratios (ORs) and 95% confidence intervals (CIs) of 1.29 (1.09-1.54), 1.32 (1.10-1.58), and 1.38 (1.14-1.68), respectively. RCS results indicated a positive linear exposure-response relationship between these three pollutants and the risk of overweight/obesity (Poverall < 0.05 and Pnonlinear > 0.05). The BKMR model demonstrated significant positive correlations of co-exposure to BPs and PAEs with the risk of overweight/obesity, with PAEs being the major contributor, particularly MEHHP, and a possible negative interaction was noted between MEHHP and MEOHP.
      Conclusion There is a significant positive correlation of co-exposure to BPs and PAEs with the risk of overweight/obesity among residents of a community in Shenzhen, and MEOHP, MECPP, and MEHHP as individual pollutants are significantly correlated with an increased risk of overweight/obesity.

       

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