Joshua Cheek, Sara Shuger Fox, Hans-Joachim Lehmler, Tyler J Titcomb
{"title":"美国成年人全国代表性样本中的环境镍暴露与心血管疾病。","authors":"Joshua Cheek, Sara Shuger Fox, Hans-Joachim Lehmler, Tyler J Titcomb","doi":"10.1007/s12403-023-00579-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Laboratory studies have linked nickel with the pathogenesis of cardiovascular disease (CVD); however, few observational studies in humans have confirmed this association.</p><p><strong>Objective: </strong>This study aimed to use urinary nickel concentrations, as a biomarker of environmental nickel exposure, to evaluate the cross-sectional association between nickel exposure and CVD in a nationally representative sample of U.S. adults.</p><p><strong>Methods: </strong>Data from a nationally representative sample (<i>n</i> = 2702) in the National Health and Nutrition Examination Survey 2017-20 were used. CVD (<i>n</i> = 326) was defined as self-reported physicians' diagnoses of coronary heart disease, angina, heart attack, or stroke. Urinary nickel concentrations were determined by inductively coupled plasma mass spectrometry. Logistic regression with sample weights was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of CVD.</p><p><strong>Results: </strong>Urinary nickel concentrations were higher in individuals with CVD (weighted median 1.34 μg/L) compared to those without CVD (1.08 μg/L). After adjustment for demographic, socioeconomic, lifestyle, and other risk factors for CVD, the ORs (95% CIs) for CVD compared with the lowest quartile of urinary nickel were 3.57 (1.73-7.36) for the second quartile, 3.61 (1.83-7.13) for the third quartile, and 2.40 (1.03-5.59) for the fourth quartile. Cubic spline regression revealed a non-monotonic, inverse U-shaped, association between urinary nickel and CVD (P<sub>nonlinearity</sub> < 0.001).</p><p><strong>Conclusions: </strong>Nickel exposure is associated with CVD in a non-monotonic manner among U.S. adults independent of well-known CVD risk factors.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12403-023-00579-4.</p>","PeriodicalId":12116,"journal":{"name":"Exposure and Health","volume":" ","pages":"1-9"},"PeriodicalIF":4.5000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249564/pdf/","citationCount":"1","resultStr":"{\"title\":\"<b>Environmental Nickel Exposure and Cardiovascular Disease in a Nationally Representative Sample of U.S.</b> Adults.\",\"authors\":\"Joshua Cheek, Sara Shuger Fox, Hans-Joachim Lehmler, Tyler J Titcomb\",\"doi\":\"10.1007/s12403-023-00579-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Laboratory studies have linked nickel with the pathogenesis of cardiovascular disease (CVD); however, few observational studies in humans have confirmed this association.</p><p><strong>Objective: </strong>This study aimed to use urinary nickel concentrations, as a biomarker of environmental nickel exposure, to evaluate the cross-sectional association between nickel exposure and CVD in a nationally representative sample of U.S. adults.</p><p><strong>Methods: </strong>Data from a nationally representative sample (<i>n</i> = 2702) in the National Health and Nutrition Examination Survey 2017-20 were used. CVD (<i>n</i> = 326) was defined as self-reported physicians' diagnoses of coronary heart disease, angina, heart attack, or stroke. Urinary nickel concentrations were determined by inductively coupled plasma mass spectrometry. Logistic regression with sample weights was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of CVD.</p><p><strong>Results: </strong>Urinary nickel concentrations were higher in individuals with CVD (weighted median 1.34 μg/L) compared to those without CVD (1.08 μg/L). After adjustment for demographic, socioeconomic, lifestyle, and other risk factors for CVD, the ORs (95% CIs) for CVD compared with the lowest quartile of urinary nickel were 3.57 (1.73-7.36) for the second quartile, 3.61 (1.83-7.13) for the third quartile, and 2.40 (1.03-5.59) for the fourth quartile. Cubic spline regression revealed a non-monotonic, inverse U-shaped, association between urinary nickel and CVD (P<sub>nonlinearity</sub> < 0.001).</p><p><strong>Conclusions: </strong>Nickel exposure is associated with CVD in a non-monotonic manner among U.S. adults independent of well-known CVD risk factors.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12403-023-00579-4.</p>\",\"PeriodicalId\":12116,\"journal\":{\"name\":\"Exposure and Health\",\"volume\":\" \",\"pages\":\"1-9\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2023-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249564/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Exposure and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s12403-023-00579-4\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Exposure and Health","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s12403-023-00579-4","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Environmental Nickel Exposure and Cardiovascular Disease in a Nationally Representative Sample of U.S. Adults.
Background: Laboratory studies have linked nickel with the pathogenesis of cardiovascular disease (CVD); however, few observational studies in humans have confirmed this association.
Objective: This study aimed to use urinary nickel concentrations, as a biomarker of environmental nickel exposure, to evaluate the cross-sectional association between nickel exposure and CVD in a nationally representative sample of U.S. adults.
Methods: Data from a nationally representative sample (n = 2702) in the National Health and Nutrition Examination Survey 2017-20 were used. CVD (n = 326) was defined as self-reported physicians' diagnoses of coronary heart disease, angina, heart attack, or stroke. Urinary nickel concentrations were determined by inductively coupled plasma mass spectrometry. Logistic regression with sample weights was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of CVD.
Results: Urinary nickel concentrations were higher in individuals with CVD (weighted median 1.34 μg/L) compared to those without CVD (1.08 μg/L). After adjustment for demographic, socioeconomic, lifestyle, and other risk factors for CVD, the ORs (95% CIs) for CVD compared with the lowest quartile of urinary nickel were 3.57 (1.73-7.36) for the second quartile, 3.61 (1.83-7.13) for the third quartile, and 2.40 (1.03-5.59) for the fourth quartile. Cubic spline regression revealed a non-monotonic, inverse U-shaped, association between urinary nickel and CVD (Pnonlinearity < 0.001).
Conclusions: Nickel exposure is associated with CVD in a non-monotonic manner among U.S. adults independent of well-known CVD risk factors.
Supplementary information: The online version contains supplementary material available at 10.1007/s12403-023-00579-4.
期刊介绍:
It is a multidisciplinary journal focused on global human health consequences of exposure to water pollution in natural and engineered environments. The journal provides a unique platform for scientists in this field to exchange ideas and share information on research for the solution of health effects of exposure to water pollution.
Coverage encompasses Engineering sciences; Biogeochemical sciences; Health sciences; Exposure analysis and Epidemiology; Social sciences and public policy; Mathematical, numerical and statistical methods; Experimental, data collection and data analysis methods and more.
Research topics include local, regional and global water pollution, exposure and health problems; health risk analysis of water pollution, methods of quantification and analysis of risk under uncertainty; aquatic biogeochemical processes in natural and engineered systems and health effects; analysis of pollution, exposure and health data; and more.