Associations between exposure to multiple environmental chemicals and metabolic syndrome: A mixture analysis

Ruiqiang Li , Xiaoyi Lin , Tingyu Lu , Jiao Wang , Ying Wang , Lin Xu
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Abstract

Exposure to environmental chemicals is prevalent. While previous studies reported associations between multiple chemical exposures and metabolic syndrome (MetS), they did not comprehensively account for correlations among exposures. We used machine learning methods including Boruta algorithm and least absolute shrinkage and selection operator (LASSO) regression, combined with weighted quartiles sum (WQS) regression to investigate the associations of phenols, polycyclic aromatic hydrocarbons (PAHs), metals, and phthalates with MetS and its components. Data were drawn from the 2005–2012 National Health and Nutrition Examination Survey (NHANES). The mean (standard deviation (SD)) age of 2596 participants was 48.4 (17.9) years. After adjusting for age, sex, body mass index, race/ethnicity, marital status, education, poverty income ratio, physical activity, smoking, and alcohol, higher 2-Phenanthrene (2-PHE) and mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) concentrations were associated with a higher odds of the MetS (odds ratio (OR) = 4.26, 95 % confidence interval (CI) 2.40–7.58 per ng/mL, and 3.24, 1.75–6.02 per ng/L, respectively). WQS index for environmental chemicals was positively associated with the MetS (OR = 1.31, 95 % CI 1.09–1.57). Moreover, we observed consistent and stronger positive associations with MetS (OR = 1.54, 95 % CI 1.04–2.30) in current smokers. Exposure to phenols, PAHs, metals, and phthalates was positively associated with an increase in metabolic syndrome and its components, which was more pronounced in current smokers.

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接触多种环境化学物质与代谢综合征之间的关系:混合分析
暴露于环境化学物质是一种普遍现象。虽然之前的研究报告了多种化学物质暴露与代谢综合征(MetS)之间的关系,但这些研究并未全面考虑暴露之间的相关性。我们采用了机器学习方法,包括 Boruta 算法和最小绝对收缩与选择算子(LASSO)回归法,并结合加权四分位数总和(WQS)回归法,研究了酚类、多环芳烃(PAHs)、金属和邻苯二甲酸盐与 MetS 及其成分的关系。数据来自 2005-2012 年美国国家健康与营养调查(NHANES)。2596 名参与者的平均年龄为 48.4 (17.9)岁(标准差 (SD))。在对年龄、性别、体重指数、种族/民族、婚姻状况、教育程度、贫困收入比、体育活动、吸烟和饮酒等因素进行调整后,2-菲(2-PHE)和邻苯二甲酸单(2-乙基-5-羟基己酯)(MEHHP)浓度越高,患 MetS 的几率越高(几率比(OR)= 4.26,95 % 置信区间 (CI) 分别为每纳克/毫升 2.40-7.58 和每纳克/毫升 3.24、1.75-6.02)。环境化学物质的 WQS 指数与 MetS 呈正相关(OR = 1.31,95 % CI 1.09-1.57)。此外,我们还观察到当前吸烟者与 MetS 存在一致且更强的正相关性(OR = 1.54,95 % CI 1.04-2.30)。接触酚类、多环芳烃、金属和邻苯二甲酸盐与代谢综合征及其组成部分的增加呈正相关,这在当前吸烟者中更为明显。
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来源期刊
Hygiene and environmental health advances
Hygiene and environmental health advances Environmental Science (General)
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
38 days
期刊最新文献
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