China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Sci Total Environ. 2022 Sep 20;840:156618. doi: 10.1016/j.scitotenv.2022.156618. Epub 2022 Jun 9.
Although the association between selenium (Se) and diabetes has been well-discussed in recent years, few studies have focused on the effects of long-term natural Se exposure and rarely concerned the effects of different Se biomarkers. To address this question, we carried out a 7-year longitudinal study on older adults aged over 65 and another cross-sectional study on middle-aged and older adults aged 40 and above from Chinese soil Se-deplete and Se-optimum areas. Cox proportional hazard models were used to evaluate the associations between nail Se levels and incidence risk of diabetes. Unconditional logistic regression models and analysis of variance models were used to examine the associations between serum Se levels and the prevalence risk of diabetes. The nail and serum Se levels were 0.47 ± 0.20 μg/g and 111.09 ± 55.01 μg/L for the two study populations, respectively. For both of the independent studies, higher Se levels were observed to be associated with a higher risk of diabetes and prediabetes. Compared with the Second nail Se quartile (Q2), the adjusted hazard ratios (HRs) and 95 % confidence intervals (95 % CIs) of diabetes for Q1, Q3 and Q4 were 1.24(0.70, 2.21), 1.53(0.98, 2.39) and 1.31(0.76, 2.26), respectively, and the adjusted HRs (95 % CIs) of prediabetes were 1.47(0.77, 2.81), 1.38(0.83, 2.30), and 1.97(1.13, 3.44), respectively. Compared with the first serum Se quintile (Q1), the adjusted odds ratios (ORs) and 95 % CIs of diabetes for higher quintiles were 1.12(0.75, 1.66), 1.05(0.71, 1.57), 1.09(0.73, 1.62) and 1.51(1.02, 2.19), and the adjusted ORs (95 % CIs) of prediabetes were 1.27(0.77, 2.09), 1.70(1.05, 2.74), 1.94(1.21, 3.11) and 1.67(1.03, 2.71). Our findings consistently suggest that higher Se status is associated with a higher risk of diabetes in adults.
虽然近年来人们对硒(Se)与糖尿病之间的关系进行了充分的讨论,但很少有研究关注长期自然暴露于硒的影响,也很少关注不同的硒生物标志物的影响。为了解决这个问题,我们对来自中国土壤缺硒和富硒地区的 65 岁以上老年人进行了为期 7 年的纵向研究,对 40 岁及以上的中老年人进行了另一个横断面研究。使用 Cox 比例风险模型来评估指甲硒水平与糖尿病发病风险之间的关联。使用无条件逻辑回归模型和方差分析模型来检验血清硒水平与糖尿病患病率风险之间的关联。对于这两个独立的研究人群,指甲和血清中的硒水平分别为 0.47 ± 0.20 μg/g 和 111.09 ± 55.01 μg/L。对于这两个独立的研究,较高的硒水平与糖尿病和糖尿病前期的风险增加有关。与第二指甲硒四分位(Q2)相比,Q1、Q3 和 Q4 的糖尿病调整后风险比(HRs)和 95%置信区间(95% CIs)分别为 1.24(0.70, 2.21)、1.53(0.98, 2.39)和 1.31(0.76, 2.26),而糖尿病前期的调整后 HRs(95% CIs)分别为 1.47(0.77, 2.81)、1.38(0.83, 2.30)和 1.97(1.13, 3.44)。与第一血清硒五分位数(Q1)相比,较高五分位数的糖尿病调整后比值比(ORs)和 95%置信区间分别为 1.12(0.75, 1.66)、1.05(0.71, 1.57)、1.09(0.73, 1.62)和 1.51(1.02, 2.19),而糖尿病前期的调整后 ORs(95% CIs)分别为 1.27(0.77, 2.09)、1.70(1.05, 2.74)、1.94(1.21, 3.11)和 1.67(1.03, 2.71)。我们的研究结果一致表明,成年人中较高的硒状态与糖尿病风险增加有关。