混淆
转铁蛋白饱和度
内科学
转铁蛋白
逻辑回归
医学
全国健康与营养检查调查
胃肠病学
人口
胰岛素抵抗
可溶性转铁蛋白受体
线性回归
血清铁
铁状态
内分泌学
缺铁
胰岛素
数学
贫血
统计
环境卫生
作者
Xue Liu,Qian Zhang,Yuelong Chai,Yuchen Li,Jie Yuan,Qian Zhang,Haiqing Zhang
标识
DOI:10.1210/clinem/dgae558
摘要
Abstract Background Evidence on the link between iron status markers and insulin resistance (IR) is limited. We aimed to explore the relationship between iron status and IR among U.S. adults. Methods This study involved 2993 participants from the National Health and Nutrition Examination Survey (NHANES) 2003-2006, 2017-2020. IR is characterized by a HOMA-IR value of ≥2.5. Weighted linear and multivariable logistic regression analyses were used to examine the linear relationships between iron status and IR. Furthermore, restricted cubic splines (RCS) were used to identify the non-linear dose-response associations. Stratified analyses by age, sex, BMI and PA were also performed. Last, ROC curve was used to evaluate the predictive value of iron status in IR. Results In weighted linear analyses, serum iron (SI) exhibited a negative correlation with HOMA-IR (β (95% CI) = -0.03(-0.05, -0.01), P = 0.01). In weighted multivariate logistic analyses, iron intake and serum transferrin receptor (sTfR) were positively correlated with IR (OR =1.02; 95% CI=1.00-1.04, P = 0.04; OR =1.07; 95% CI=1.02-1.13, P = 0.01). Also, SI and transferrin saturation (TSAT) were negatively correlated with IR (OR =0.96; 95% CI=0.94-0.98, P <0.0001; OR =0.98; 95% CI=0.97-0.99, P <0.001) after adjusting for confounding factors. RCS depicted a nonlinear dose-response relationship between sTfR and TSAT and IR. This correlation remained consistent across various population subgroups. ROC curve showed that TSAT performed better than iron intake, SI, sTfR and TSAT in ROC analyses for IR prediction. Conclusion All biomarkers demonstrated significantly lower risk of IR with increasing iron levels, which will contribute to a more comprehensive and in-depth understanding of the relationship between the two and provide a solid foundation for future exploration of the mechanisms underlying their relationship.
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