Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study

Some epidemiological studies support a relationship between nickel exposure and diabetes in the general population. To address this, we tested the association of nickel exposure with diabetes in 10,890 adults aged ≥ 18 years old from the China National Human Biomonitoring study conducted in 2017–201...

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Main Authors: Yingli Qu, Saisai Ji, Qi Sun, Feng Zhao, Zheng Li, Miao Zhang, Yawei Li, Lei Zheng, Haocan Song, Wenli Zhang, Heng Gu, Hui Fu, Xulin Zheng, Jiayi Cai, Ying Zhu, Zhaojin Cao, Yuebin Lv, Xiaoming Shi
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651323001057
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author Yingli Qu
Saisai Ji
Qi Sun
Feng Zhao
Zheng Li
Miao Zhang
Yawei Li
Lei Zheng
Haocan Song
Wenli Zhang
Heng Gu
Hui Fu
Xulin Zheng
Jiayi Cai
Ying Zhu
Zhaojin Cao
Yuebin Lv
Xiaoming Shi
author_facet Yingli Qu
Saisai Ji
Qi Sun
Feng Zhao
Zheng Li
Miao Zhang
Yawei Li
Lei Zheng
Haocan Song
Wenli Zhang
Heng Gu
Hui Fu
Xulin Zheng
Jiayi Cai
Ying Zhu
Zhaojin Cao
Yuebin Lv
Xiaoming Shi
author_sort Yingli Qu
collection DOAJ
description Some epidemiological studies support a relationship between nickel exposure and diabetes in the general population. To address this, we tested the association of nickel exposure with diabetes in 10,890 adults aged ≥ 18 years old from the China National Human Biomonitoring study conducted in 2017–2018. Urinary nickel concentrations and fasting blood glucose (FBG) were measured, and lifestyle and demographic data were collected. Weighted logistic and linear regressions were used to estimate the associations of urinary nickel levels with diabetes prevalence and FBG. Restricted cubic splines (RCS) were used to test for the dose-response relationship. The odd ratio (95% confidence interval [CI]) of diabetes for the highest versus lowest quartiles of urinary nickel concentrations was 1.74 (1.28, 2.36) in the multivariate model (p trend =0.001). Each one-unit increase in log-transformed urinary nickel concentrations was associated with a 0.36 (0.17, 0.55) mmol/L elevation in FBG. The RCS curves showed a monotonically increasing dose-response relationship of urinary nickel with diabetes as well as FBG levels, and then tended to flatten after about 4.75 μg/L of nickel exposure. The nickel-diabetes association was stronger in individuals with lower than those with higher rice consumption (OR: 2.39 vs. 1.72). Our study supports a positive association between nickel exposure and diabetes prevalence in Chinese adults, especially in individuals with lower rice consumption. Further large-scale prospective studies are needed to validate our findings.
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spelling doaj.art-9de1fee48de0460b9614b589f4ede3fa2023-02-20T04:08:39ZengElsevierEcotoxicology and Environmental Safety0147-65132023-03-01252114601Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based studyYingli Qu0Saisai Ji1Qi Sun2Feng Zhao3Zheng Li4Miao Zhang5Yawei Li6Lei Zheng7Haocan Song8Wenli Zhang9Heng Gu10Hui Fu11Xulin Zheng12Jiayi Cai13Ying Zhu14Zhaojin Cao15Yuebin Lv16Xiaoming Shi17China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaCorrespondence to: National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China.; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, ChinaSome epidemiological studies support a relationship between nickel exposure and diabetes in the general population. To address this, we tested the association of nickel exposure with diabetes in 10,890 adults aged ≥ 18 years old from the China National Human Biomonitoring study conducted in 2017–2018. Urinary nickel concentrations and fasting blood glucose (FBG) were measured, and lifestyle and demographic data were collected. Weighted logistic and linear regressions were used to estimate the associations of urinary nickel levels with diabetes prevalence and FBG. Restricted cubic splines (RCS) were used to test for the dose-response relationship. The odd ratio (95% confidence interval [CI]) of diabetes for the highest versus lowest quartiles of urinary nickel concentrations was 1.74 (1.28, 2.36) in the multivariate model (p trend =0.001). Each one-unit increase in log-transformed urinary nickel concentrations was associated with a 0.36 (0.17, 0.55) mmol/L elevation in FBG. The RCS curves showed a monotonically increasing dose-response relationship of urinary nickel with diabetes as well as FBG levels, and then tended to flatten after about 4.75 μg/L of nickel exposure. The nickel-diabetes association was stronger in individuals with lower than those with higher rice consumption (OR: 2.39 vs. 1.72). Our study supports a positive association between nickel exposure and diabetes prevalence in Chinese adults, especially in individuals with lower rice consumption. Further large-scale prospective studies are needed to validate our findings.http://www.sciencedirect.com/science/article/pii/S0147651323001057DiabetesFasting blood glucoseUrinary nickel levelsChina National Human Biomonitoring
spellingShingle Yingli Qu
Saisai Ji
Qi Sun
Feng Zhao
Zheng Li
Miao Zhang
Yawei Li
Lei Zheng
Haocan Song
Wenli Zhang
Heng Gu
Hui Fu
Xulin Zheng
Jiayi Cai
Ying Zhu
Zhaojin Cao
Yuebin Lv
Xiaoming Shi
Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study
Ecotoxicology and Environmental Safety
Diabetes
Fasting blood glucose
Urinary nickel levels
China National Human Biomonitoring
title Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study
title_full Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study
title_fullStr Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study
title_full_unstemmed Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study
title_short Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study
title_sort association of urinary nickel levels with diabetes and fasting blood glucose levels a nationwide chinese population based study
topic Diabetes
Fasting blood glucose
Urinary nickel levels
China National Human Biomonitoring
url http://www.sciencedirect.com/science/article/pii/S0147651323001057
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