Liu Dong, Zhang Ya, Wang Cui-Cui, Xiao-Hong E, Zuo Hui
School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China.
Iran J Public Health. 2022 Jan;51(1):115-123. doi: 10.18502/ijph.v51i1.8302.
The association of iron metabolism or status with the stroke risk remains unclear. We aimed to examine the associations between markers of iron metabolism or status and stroke risk using data from the China Health and Nutrition Survey (CHNS).
Overall, 8589 in the CHNS in 2009, and 7290 participants between 2009 and 2015 were included in the cross-sectional and longitudinal analyses, respectively. Markers included hemoglobin, ferritin (FET), transferrin (TRF), soluble transferrin receptor (sTRF-R), and ratio of sTRF-R/log FET (sTfR-F index). Multivariable logistic regression and Cox proportional hazards models were used to analyze the associations between those markers and risk of stroke. Age, gender, high-sensitivity CRP (hsCRP), body mass index (BMI), current smoking, drinking status, diabetes and hypertension were included as potential confounding factors.
We observed longitudinal associations of hemoglobin (HR: 1.54, 95% CI: 1.15 - 2.06, = 0.004), and sTfR-F index (HR: 0.68, 95% CI: 0.46 - 0.99, = 0.044) with stroke risk among the participants whose BMI ≤ 23 kg/m. In addition, FET levels were significantly associated with stroke risk among female (HR: 1.45, 95% CI: 1.00 - 2.09, = 0.049) after a median of 6.1 years follow-up. Hemoglobin, FET, TRF, sTRF-R, and sTfR-F index were not associated with the risk of stroke in overall analyses.
FET among female, hemoglobin and sTfR-F index among those BMI ≤ 23 kg/m may be contributing factors for stroke.
铁代谢或铁状态与中风风险之间的关联尚不清楚。我们旨在利用中国健康与营养调查(CHNS)的数据,研究铁代谢或铁状态标志物与中风风险之间的关联。
总体而言,2009年CHNS中的8589名参与者以及2009年至2015年间的7290名参与者分别纳入横断面分析和纵向分析。标志物包括血红蛋白、铁蛋白(FET)、转铁蛋白(TRF)、可溶性转铁蛋白受体(sTRF-R)以及sTRF-R/log FET比值(sTfR-F指数)。采用多变量逻辑回归和Cox比例风险模型分析这些标志物与中风风险之间的关联。年龄、性别、高敏C反应蛋白(hsCRP)、体重指数(BMI)、当前吸烟状况、饮酒状况、糖尿病和高血压被纳入作为潜在混杂因素。
在BMI≤23kg/m²的参与者中,我们观察到血红蛋白(HR:1.54,95%CI:1.15 - 2.06,P = 0.004)和sTfR-F指数(HR:0.68,95%CI:0.46 - 0.99,P = 0.044)与中风风险存在纵向关联。此外,经过中位数6.1年的随访,女性的FET水平与中风风险显著相关(HR:1.45,95%CI:1.00 - 2.09,P = 0.049)。在总体分析中,血红蛋白、FET、TRF、sTRF-R和sTfR-F指数与中风风险无关。
女性中的FET、BMI≤23kg/m²者中的血红蛋白和sTfR-F指数可能是中风的促成因素。