Yan Zhao , Zhaoyang Li , Xinyue Wen , Hongqiu Li , Huifang He , Jing Han
{"title":"中国陕西学龄前儿童金属暴露与体重指数的关系","authors":"Yan Zhao , Zhaoyang Li , Xinyue Wen , Hongqiu Li , Huifang He , Jing Han","doi":"10.1016/j.heha.2024.100094","DOIUrl":null,"url":null,"abstract":"<div><p>There are few studies on the association between polymetallic exposure and obesity in preschool children, and the conclusions are inconsistent. The study aimed to explore the association between urine metals and body mass index (BMI). For 342 preschool children in the industrial park of Shaanxi, China, uniformly trained investigators collected basic information of preschoolers and measured height and weight. Morning urine were collected, and BMI were calculated. We measured concentrations of 22 urine metals by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS).</p><p>The least absolute shrinkage and selective operator (LASSO) regression model was used to screen urine metals larger impact on BMI. In the polymetallic exposure model, generalized linear regression was used to explore the relationship between the selected urine metals and BMI. The overall relationship between urine metals and BMI was analyzed using restricted cubic spline (RCS). The interaction method was used to explore the influence of metal-metal interaction on BMI. After adjustment for covariates, ln-transformed urinary copper (Cu) levels and urinary molybdenum (Mo) levels were negatively associated with BMI, (Cu, β=−1.219, 95% CI: −2.047, −0.391, <em>P</em><0.05; Mo, β=−0.797, 95% CI: −1.508, −0.087, <em>P</em><0.05). Polymetallic model showed similar results. Both ln-transformed urinary Cu levels and urinary Mo levels were negatively correlated with BMI (Cu: β=−1.556, 95% CI: −2.488, −0.624, <em>P</em><0.05; Mo: β=−0.915, 95% CI: −1.817, −0.013, <em>P</em><0.05). The results of RCS visually demonstrate that Cu and BMI are non-linearly correlated (<em>P</em> <sub>total</sub> < 0.001, <em>P</em> <sub>nonliearity</sub> = 0.005), Mo and BMI are linearly correlated (<em>P</em> <sub>total</sub> < 0.05, <em>P</em> <sub>nonliearity</sub> = 0.099) Urinary Cu was negatively correlated with BMI nonlinearly in preschool children, and there was a borderline interaction between urinary Mo and Cu levels.</p><p>Further researches are needed to validate these associations and reveal underlying mechanisms</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049224000072/pdfft?md5=d82dff54982235e51c7423cc0d6bc773&pid=1-s2.0-S2773049224000072-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The association between metal exposure and body mass index of preschool children of Shaanxi, China\",\"authors\":\"Yan Zhao , Zhaoyang Li , Xinyue Wen , Hongqiu Li , Huifang He , Jing Han\",\"doi\":\"10.1016/j.heha.2024.100094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>There are few studies on the association between polymetallic exposure and obesity in preschool children, and the conclusions are inconsistent. The study aimed to explore the association between urine metals and body mass index (BMI). For 342 preschool children in the industrial park of Shaanxi, China, uniformly trained investigators collected basic information of preschoolers and measured height and weight. Morning urine were collected, and BMI were calculated. We measured concentrations of 22 urine metals by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS).</p><p>The least absolute shrinkage and selective operator (LASSO) regression model was used to screen urine metals larger impact on BMI. In the polymetallic exposure model, generalized linear regression was used to explore the relationship between the selected urine metals and BMI. The overall relationship between urine metals and BMI was analyzed using restricted cubic spline (RCS). The interaction method was used to explore the influence of metal-metal interaction on BMI. After adjustment for covariates, ln-transformed urinary copper (Cu) levels and urinary molybdenum (Mo) levels were negatively associated with BMI, (Cu, β=−1.219, 95% CI: −2.047, −0.391, <em>P</em><0.05; Mo, β=−0.797, 95% CI: −1.508, −0.087, <em>P</em><0.05). Polymetallic model showed similar results. Both ln-transformed urinary Cu levels and urinary Mo levels were negatively correlated with BMI (Cu: β=−1.556, 95% CI: −2.488, −0.624, <em>P</em><0.05; Mo: β=−0.915, 95% CI: −1.817, −0.013, <em>P</em><0.05). The results of RCS visually demonstrate that Cu and BMI are non-linearly correlated (<em>P</em> <sub>total</sub> < 0.001, <em>P</em> <sub>nonliearity</sub> = 0.005), Mo and BMI are linearly correlated (<em>P</em> <sub>total</sub> < 0.05, <em>P</em> <sub>nonliearity</sub> = 0.099) Urinary Cu was negatively correlated with BMI nonlinearly in preschool children, and there was a borderline interaction between urinary Mo and Cu levels.</p><p>Further researches are needed to validate these associations and reveal underlying mechanisms</p></div>\",\"PeriodicalId\":73269,\"journal\":{\"name\":\"Hygiene and environmental health advances\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2773049224000072/pdfft?md5=d82dff54982235e51c7423cc0d6bc773&pid=1-s2.0-S2773049224000072-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hygiene and environmental health advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773049224000072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hygiene and environmental health advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773049224000072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The association between metal exposure and body mass index of preschool children of Shaanxi, China
There are few studies on the association between polymetallic exposure and obesity in preschool children, and the conclusions are inconsistent. The study aimed to explore the association between urine metals and body mass index (BMI). For 342 preschool children in the industrial park of Shaanxi, China, uniformly trained investigators collected basic information of preschoolers and measured height and weight. Morning urine were collected, and BMI were calculated. We measured concentrations of 22 urine metals by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS).
The least absolute shrinkage and selective operator (LASSO) regression model was used to screen urine metals larger impact on BMI. In the polymetallic exposure model, generalized linear regression was used to explore the relationship between the selected urine metals and BMI. The overall relationship between urine metals and BMI was analyzed using restricted cubic spline (RCS). The interaction method was used to explore the influence of metal-metal interaction on BMI. After adjustment for covariates, ln-transformed urinary copper (Cu) levels and urinary molybdenum (Mo) levels were negatively associated with BMI, (Cu, β=−1.219, 95% CI: −2.047, −0.391, P<0.05; Mo, β=−0.797, 95% CI: −1.508, −0.087, P<0.05). Polymetallic model showed similar results. Both ln-transformed urinary Cu levels and urinary Mo levels were negatively correlated with BMI (Cu: β=−1.556, 95% CI: −2.488, −0.624, P<0.05; Mo: β=−0.915, 95% CI: −1.817, −0.013, P<0.05). The results of RCS visually demonstrate that Cu and BMI are non-linearly correlated (Ptotal < 0.001, Pnonliearity = 0.005), Mo and BMI are linearly correlated (Ptotal < 0.05, Pnonliearity = 0.099) Urinary Cu was negatively correlated with BMI nonlinearly in preschool children, and there was a borderline interaction between urinary Mo and Cu levels.
Further researches are needed to validate these associations and reveal underlying mechanisms
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
