Long-term association of serum selenium levels and the diabetes risk: Findings from a case-control study nested in the prospective Jinchang Cohort

被引:2
作者
Cheng Z. [1 ]
Li Y. [2 ]
Young J.L. [3 ]
Cheng N. [5 ]
Yang C. [2 ]
Papandonatos G.D. [6 ]
Kelsey K.T. [7 ]
Wise J.P., Sr [3 ,4 ]
Shi K. [7 ]
Zheng T. [7 ]
Liu S. [7 ]
Bai Y. [8 ]
机构
[1] School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Street, Shenzhen
[2] Key Laboratory of Environment and Health, Ministries of Education and Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 1
[3] Department of Pharmacology and Toxicology, School of Medicine, University of Louisville, 505 South Hancock Street, Louisville, 40202, KY
[4] Wise Laboratory of Environmental and Genetic Toxicology, University of Louisville, 500 S. Preston St., 55A, Room 1422, Louisville, 40202, KY
[5] School of Basic Medical Science, Lanzhou University, 199 Donggang West Street, Gansu, Lanzhou
[6] Department of Biostatistics, School of Public Health, Brown University, 121 South Main Street, Providence, 02901, RI
[7] Department of Epidemiology, School of Public Health, Brown University, 121 South Main Street, Providence, 02901, RI
[8] Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Street, Gansu, Lanzhou
基金
中国国家自然科学基金; 美国国家卫生研究院;
关键词
A case-control study nested in prospective cohort; Diabetes; Incidence; Risk factor; Selenium;
D O I
10.1016/j.scitotenv.2021.151848
中图分类号
学科分类号
摘要
An increasing body of evidence implicates high levels of selenium intake in the development of diabetes, although prospective studies remain sparse. We conducted a nested case-control study of 622 diabetes incident cases and 622-age, sex, and follow-up time-matched controls in the prospective Jinchang cohort of 48,001 participants with a median of 5.8 years of follow-up. Inductively coupled plasma mass spectrometry (ICP-MS) was used to measure all 622 case-control pairs' baseline serum levels of selenium (Se), which were then categorized into quartiles based on the frequency distribution among the controls. Multivariable adjusted conditional logistic regression and restricted cubic splines (RCS) models were applied to evaluate independent odds ratios (OR) as estimates for relative risks (RR) of diabetes according to quartiles (Q) of selenium levels. Compared to the lowest quartile (Q1 as reference), significantly greater diabetes risks (with 95% confidence interval) were observed in Q3 (OR = 1.62, 1.17–2.35) and Q4 (OR = 1.79, 1.21–2.64). Sub-analyses showed these increased risks of diabetes by serum levels of Se. appeared to differ by sex, age, BMI status, history of hypertension, and dyslipidemia. Further, application of RSC models showed that serum Se levels between 95 and 120 μg/L were significantly and positively associated with diabetes risk whereas no apparent relation exists when Se levels were under 95 μg/L in this cohort population. © 2021 Elsevier B.V.
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