Frontiers in Public Health (Jun 2022)
The Association Between Plasma Copper Concentration and Prevalence of Diabetes in Chinese Adults With Hypertension
- Zhixin Cui,
- Hong Chen,
- Wenhai Lu,
- Wenhai Lu,
- Ping Wang,
- Ziyi Zhou,
- Ziyi Zhou,
- Nan Zhang,
- Zhuo Wang,
- Tengfei Lin,
- Tengfei Lin,
- Yun Song,
- Yun Song,
- Lishun Liu,
- Lishun Liu,
- Xiao Huang,
- Ping Chen,
- Genfu Tang,
- Juan Gao,
- Yong Duan,
- Yong Duan,
- Binyan Wang,
- Binyan Wang,
- Binyan Wang,
- Hao Zhang,
- Xiping Xu,
- Xiping Xu,
- Xiping Xu,
- Yan Yang,
- Yan Yang,
- Yan Yang,
- Xianhui Qin,
- Xianhui Qin,
- Huicui Meng,
- Huicui Meng,
- Huicui Meng
Affiliations
- Zhixin Cui
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Hong Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Wenhai Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Wenhai Lu
- Department of Disease Control and Prevention, Pingdi Center for Public Health Service of Longgang District Shenzhen Municipality, Shenzhen, China
- Ping Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Ziyi Zhou
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Ziyi Zhou
- Department of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China
- Nan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
- Zhuo Wang
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Tengfei Lin
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Tengfei Lin
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yun Song
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Yun Song
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- Lishun Liu
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Lishun Liu
- Department of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China
- Xiao Huang
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- Ping Chen
- 0College of Pharmacy, Jinan University, Guangzhou, China
- Genfu Tang
- 1School of Heath Administration, Anhui Medical University, Hefei, China
- Juan Gao
- 2Department of Neurology, Baoding First Central Hospital, Baoding, China
- Yong Duan
- 3Yunnan Key Laboratory of Laboratory Medicine, Kunming, China
- Yong Duan
- 4Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- Binyan Wang
- Department of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China
- Binyan Wang
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- Binyan Wang
- 5National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Hao Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Xiping Xu
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Xiping Xu
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- Xiping Xu
- 5National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Yan Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Yan Yang
- 6Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, China
- Yan Yang
- 7Guangdong Provincial Engineering Laboratory for Nutrition Translation, Guangzhou, China
- Xianhui Qin
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- Xianhui Qin
- 5National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Huicui Meng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Huicui Meng
- 6Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, China
- Huicui Meng
- 7Guangdong Provincial Engineering Laboratory for Nutrition Translation, Guangzhou, China
- DOI
- https://doi.org/10.3389/fpubh.2022.888219
- Journal volume & issue
-
Vol. 10
Abstract
ObjectiveThe relationship between plasma copper concentration and prevalence of diabetes in adults with hypertension is unclear. We aimed to determine the association between plasma copper concentration and prevalence of diabetes in Chinese adults with hypertension.MethodsA total of 2,579 participants (697 cases and 1,882 controls) was included in this cross-sectional study. Plasma copper concentrations were determined by inductively coupled plasma mass spectrometry. Multivariable logistic regression model was used to determine the association between plasma copper concentration and prevalence of diabetes.ResultsAccording to the logistic regression analyses, the adjusted OR for the prevalence of diabetes in participants with plasma copper concentration ≥109.4 μg/dL was 1.26 (1.00, 1.58) compared with those with plasma copper concentration <109.4 μg/dL (P = 0.048). The association was no longer significant following further adjusting for serum high-density lipoprotein cholesterol (HDL-C) concentration as a potential confounder. Stratified analyses demonstrated that serum HDL-C concentration significantly modified the association between plasma copper concentration and prevalence of diabetes (P-interaction = 0.043). In the strata of serum HDL-C concentration ≥1.2 mmol/L, a 56% increased prevalence of diabetes was observed in participants with plasma copper concentration ≥109.4 μg/dL compared with those with plasma copper concentration <109.4 μg/dL (P = 0.008). No significant relationship between plasma copper concentration and prevalence of diabetes was found in other strata.ConclusionOur findings suggested that high plasma copper concentration (≥109.4 μg/dL) was associated with increased prevalence of diabetes in Chinese hypertensive adults with serum HDL-C concentration ≥1.2 mmol/L.
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