全国健康与营养检查调查
硒
医学
入射(几何)
逻辑回归
混淆
内科学
子群分析
胃肠病学
环境卫生
人口
数学
化学
置信区间
有机化学
几何学
作者
Xi Chen,Miao‐Kun Sun,Zhenzhen Gu,Xiaofeng Hao,Like Xie
标识
DOI:10.3389/fmed.2025.1546214
摘要
Background Several studies have established a clear link between serum selenium levels and various health outcomes. However, to date, only a few studies have found an association between serum selenium levels and diabetic retinopathy (DR). The exact link between them is unclear. We collected data from different patient populations. Methods Data from 645 adults, collected through the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2016, were analyzed. The association between serum selenium levels and the incidence of DR was assessed using binary logistic regression. Subgroup analysis, smoothed curve-fitting analysis, and propensity score weighting were used to investigate the association further. Results According to the multivariate analysis, there was no statistically significant linear association between serum selenium levels and the probability of developing DR ( p > 0.05). Segmented regression analysis, however, showed that the chance of developing DR was considerably lower when selenium levels reached the threshold of 106.8 μg/L (OR = 0.88, p = 0.0107). Conclusion A U-shaped curve represents the link between serum selenium levels and DR. The incidence of DR is elevated in individuals with serum selenium levels that are either higher or lower than the optimal range.
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