School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Street, Shenzhen 518055, China.
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, 13 Hangkong Street, Wuhan, Hubei, 430030, China.
Sci Total Environ. 2022 Apr 20;818:151848. doi: 10.1016/j.scitotenv.2021.151848. Epub 2021 Nov 22.
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.
越来越多的证据表明，高硒摄入与糖尿病的发生有关，尽管前瞻性研究仍然很少。我们对前瞻性的金昌队列中 48001 名参与者进行了一项嵌套病例对照研究，该队列中有 622 例糖尿病新发病例和 622 例年龄、性别和随访时间匹配的对照，中位随访时间为 5.8 年。使用电感耦合等离子体质谱法（ICP-MS）测量了 622 对病例对照的基线血清硒（Se）水平，然后根据对照组的频率分布将其分为 quartiles。应用多变量调整条件逻辑回归和限制立方样条（RCS）模型，根据硒水平 quartiles（Q）评估独立比值比（OR）作为糖尿病相对风险（RR）的估计值。与最低 quartile（Q1 作为参考）相比，Q3（OR=1.62，1.17-2.35）和 Q4（OR=1.79，1.21-2.64） quartiles 中观察到糖尿病风险显著增加（95%置信区间）。亚组分析表明，血清 Se 水平与糖尿病风险之间的这种增加似乎因性别、年龄、BMI 状态、高血压和血脂异常史而有所不同。此外，应用 RSC 模型显示，血清 Se 水平在 95 至 120μg/L 之间与糖尿病风险呈显著正相关，而在本队列人群中，当 Se 水平低于 95μg/L 时，不存在明显关系。
