Association of serum iron metabolism with muscle mass and frailty in older adults: A cross-sectional study of community-dwelling older adults

被引:2
作者
Ma, Anpei [1 ]
Chen, Honggu [2 ]
Yin, Hong [2 ]
Zhang, Ziyi [2 ]
Zhao, Guoyang [3 ]
Luo, Caifeng [4 ]
Zhuang, Ruo [3 ]
Chen, Aihua [3 ]
Han, Tingxia [5 ]
机构
[1] Yancheng First Peoples Hosp, Dept Orthoped, Yancheng, Peoples R China
[2] Jiangsu Univ, Affiliated Hosp, Zhenjiang, Peoples R China
[3] Jiangsu Univ, Affiliated Hosp, Dept Orthoped, Zhenjiang 212000, Jiangsu, Peoples R China
[4] Jiangsu Univ, Sch Med, Nursing Dept, Yancheng, Peoples R China
[5] Yancheng Yanfu Orthoped Hosp, Yancheng, Peoples R China
关键词
ferritin; frailty; iron metabolism; iron metabolism cycle; sarcopenia; transferrin saturation; SARCOPENIA; MAGNESIUM; FERRITIN; ZINC; MICE;
D O I
10.1097/MD.0000000000039348
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
This study aimed to explore the correlation between serum ferritin and additional biomarkers associated with iron metabolism, as well as their connection to muscle atrophy and frailty in the community-dwelling middle-aged and elderly population. The study included 110 middle-aged and elderly participants. Participants were categorized into an iron accumulation group (31 cases) and a normal iron group (79 cases) based on the standard ferritin values for men and women. Based on the criteria of the Asian Working Group on Muscular Dystrophy, participants were classified into a sarcopenia group (31 cases) and a non-sarcopenia group (79 cases). Using the Fried frailty syndrome criteria, participants were categorized into non-frailty (7 cases), pre-frailty (50 cases), and frailty (53 cases) groups. We employed multiple linear regression, binary logistic regression, partial correlation analysis, and ordinal logistic regression to assess the associations between iron metabolism indices and the presence of muscle atrophy and frailty. Compared with the normal iron group, the iron overload group had significantly higher ferritin, weight loss, fatigue, slow gait, and frailty scores (P < .05). Among the 3 models we set, ferritin was not significantly correlated with muscle mass in models 1 and 3 (P > .05), ferritin was positively correlated with muscle mass in model 2 (P-model2 = .048), but Transferrin saturation was positively correlated with muscle mass in all 3 models (P-model1 = .047, P-model2 = .026, P-model3 = .024). Ferritin, body mass index and iron overload were the influencing factors of sarcopenia (P-ferritin = .027, P-BMI < .001, P-iron overload = .028). Ferritin was positively correlated with weight loss, fatigue, slow gait, frailty score, and frailty grade (P < .05). Age, gender and ferritin were the influencing factors of frailty classification (P < .05). Disrupted iron metabolism can lead to decreased muscle mass and function among the middle-aged and elderly, increasing frailty risk. It's crucial to prioritize community-based frailty screening and prevention, focusing on iron utilization as well as storage, since accelerating the body's iron metabolism cycle might influence muscle health more significantly than iron reserves.
引用
收藏
页数:7
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