A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China
BackgroundSarcopenia 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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1410895/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832539891049693184 |
|---|---|
| author | Jiayi Yang Zihao Chen Xinxin Dai Liyao Jiang Liyan Dai Yu Zhao |
| author_facet | Jiayi Yang Zihao Chen Xinxin Dai Liyao Jiang Liyan Dai Yu Zhao |
| author_sort | Jiayi Yang |
| collection | DOAJ |
| description | BackgroundSarcopenia 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 older Chinese women.MethodsIn this study, data from the 2015 CHARLS database were analyzed, comprising 7,805 eligible participants. Participants were categorized into either the sarcopenia group (n = 2,160) or the non-sarcopenia group (n = 5,645) 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.ResultsAge, 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.ConclusionsThis 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. |
| format | Article |
| id | doaj-art-4de6c75ab1d8494dbe2ca4f29b8c009a |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-4de6c75ab1d8494dbe2ca4f29b8c009a2025-02-05T07:32:24ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-02-011310.3389/fpubh.2025.14108951410895A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in ChinaJiayi Yang0Zihao Chen1Xinxin Dai2Liyao Jiang3Liyan Dai4Yu Zhao5Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaDepartment of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Children Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaDepartment of Gynecology and Obstetrics, Lucheng District People's Hospital, Wenzhou, Zhejiang, ChinaDepartment of Gynecology and Obstetrics, Lucheng District People's Hospital, Wenzhou, Zhejiang, ChinaDepartment of Gynecology and Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaBackgroundSarcopenia 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 older Chinese women.MethodsIn this study, data from the 2015 CHARLS database were analyzed, comprising 7,805 eligible participants. Participants were categorized into either the sarcopenia group (n = 2,160) or the non-sarcopenia group (n = 5,645) 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.ResultsAge, 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.ConclusionsThis 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.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1410895/fullwomen's healthmiddle and aged womensarcopenianomogramrisk factors |
| spellingShingle | Jiayi Yang Zihao Chen Xinxin Dai Liyao Jiang Liyan Dai Yu Zhao A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China Frontiers in Public Health women's health middle and aged women sarcopenia nomogram risk factors |
| title | A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China |
| title_full | A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China |
| title_fullStr | A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China |
| title_full_unstemmed | A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China |
| title_short | A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China |
| title_sort | nomogram to predict sarcopenia in middle aged and older women a nationally representative survey in china |
| topic | women's health middle and aged women sarcopenia nomogram risk factors |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1410895/full |
| work_keys_str_mv | AT jiayiyang anomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT zihaochen anomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT xinxindai anomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT liyaojiang anomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT liyandai anomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT yuzhao anomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT jiayiyang nomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT zihaochen nomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT xinxindai nomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT liyaojiang nomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT liyandai nomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina AT yuzhao nomogramtopredictsarcopeniainmiddleagedandolderwomenanationallyrepresentativesurveyinchina |