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ORIGINAL RESEARCH article

Front. Public Health
Sec. Aging and Public Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1410895
This article is part of the Research Topic Current Trends in Muscle Diseases and Their Treatment Strategies View all 7 articles

A Nomogram to predict sarcopenia in middle-aged and elderly women: a nationally representative survey in China

Provisionally accepted
Jiayi Yang Jiayi Yang 1Zihao Chen Zihao Chen 2Xinxin Dai Xinxin Dai 1,3Liyao Jiang Liyao Jiang 4Liyan Dai Liyan Dai 4Yu Zhao Yu Zhao 5*
  • 1 Department of Obstetrics, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
  • 2 Department of Orthopaedic Surgery, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
  • 3 Department of Obstetrics, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
  • 4 Wenzhou People’s Hospital, Wenzhou, China
  • 5 Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

The final, formatted version of the article will be published soon.

    Background Sarcopenia is a disease characterized by losing muscle mass, strength, and function with age. Studies have shown that sarcopenia is generally higher in women than in men. Therefore, this study used the 2015 China Health and Retirement Longitudinal Study (CHARLS) data to explore further the risk factors associated with sarcopenia in middle-aged and elderly Chinese women.In this study, data from the 2015 CHARLS database were analyzed, comprising 7805 eligible participants. Participants were categorized into either the sarcopenia group (n=2160) or the non-sarcopenia group (n=5645) based on the presence or absence of sarcopenia. Through the utilization of logistic regression analysis, multiple risk factors were identified. Additionally, the predictive value of these risk factors was assessed by applying receiver operating characteristic (ROC) curve analysis. Subsequently, a visual nomogram prediction model was developed by incorporating the identified risk factors into R4.1.2 software.Results Age, area, education, marriage, waist circumference, stroke, body pain, depression, and region may be closely related to Chinese women with sarcopenia. In addition, this study integrated these sarcopenia-related variables into a comprehensive index, and ROC analysis results showed that the AUC of the composite index was 0.738.This study found that sarcopenia in Chinese women may be closely related to age, waist, education, marriage, area, stroke, physical pain, depression, and region. In addition, this study constructs a nomogram to help clinicians better screen potential female patients with sarcopenia.

    Keywords: Women's Health, Middle and aged women, Sarcopenia, nomogram, Risk factors

    Received: 17 Apr 2024; Accepted: 13 Jan 2025.

    Copyright: © 2025 Yang, Chen, Dai, Jiang, Dai and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yu Zhao, Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.