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Iron overload is positively associated with the incidence of osteoarthritis: A NHANES cross-sectional study

医学 全国健康与营养检查调查 转铁蛋白饱和度 横断面研究 肥胖 骨关节炎 内科学 铁蛋白 人口 入射(几何) 糖尿病 体质指数 逻辑回归 血清铁 内分泌学 贫血 环境卫生 血清铁蛋白 病理 替代医学 物理 光学
作者
Fei Liu
出处
期刊:Medicine [Wolters Kluwer]
卷期号:103 (43): e40089-e40089
标识
DOI:10.1097/md.0000000000040089
摘要

With the aging of the global population and the increase in the number of people with conditions such as obesity, the incidence of osteoarthritis (OA) is increasing annually. Clinical studies have shown that excessive accumulation of iron in joints is associated with age-related OA. However, there have been no reports on the relationship between iron metabolism and osteoarthritis. A STROBE-compliant cross-sectional observational study, was carried out and analyzed from the National Health and Nutrition Examination Survey from 2001 to 2020, including data on serum iron, transferrin saturation, serum ferritin, total iron-binding capacity, and transferrin receptors, as well as data on osteoarthritis. This cross-sectional study was conducted to explore the relationship between serum iron levels, osteoarthritis, and related metabolic factors. By adjusting the model and using quantile logistic regression models, the interaction between human body iron content and the aforementioned variables was analyzed. A total of 56,323 participants over 5 cycles were assessed for iron levels. After adjusting the model for age, sex, race, education level, marital status, total energy intake, physical activity, drinking, BMI, smoking, hypertension, and diabetes, we found that in different quantile regression results, serum iron was associated with OA, Q4: OR = 1.231 (95%CI: 1.009–1.501, P < .05). Ferritin is associated with OA, Q2: OR = 1.309 (95%CI: 1.012–1.692, P < .05); Q3: OR = 1.424 (95%CI: 1.129–1.797, P < .01); Q4: OR = 1.280 (95%CI: 1.013–1.616, P < .05). This cross-sectional study found that serum iron and transferrin saturation levels were positively correlated with OA incidence, suggesting that iron overload is a risk factor for OA. Large-sample prospective cohort studies are needed to confirm the correlation between iron overload and OA.
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