{"title":"印度老年人肌肉减少症的患病率和决定因素：来自印度纵向老龄化研究的见解。","authors":"Abhijith R. Rao, Manjusha Bhagwasia, Vishwajeet Singh, Swati Bajpai, Sunny Singhal, Prasun Chatterjee, Avinash Chakrawarty, Sharmishtha Dey, Aparajit Ballav Dey","doi":"10.1111/jgs.19373","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Sarcopenia, characterized by declining muscle mass and function, is a growing concern among India's aging population. This study investigates sarcopenia's prevalence and determinants using the nationally representative LASI dataset.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This analysis included 26,780 community-dwelling adults aged 60 and above, with informed consent obtained from all participants. Sarcopenia was defined using the Asian Working Group for Sarcopenia (AWGS) 2019 criteria. Demographic, socioeconomic, health, and geriatric factors, including age, sex, living arrangements, economic status, comorbidities, and geriatric syndromes, were examined. Multinomial logistic regression was used to analyze associations with sarcopenia and severe sarcopenia, and results were expressed as relative risk ratios (RRR) with 95% confidence intervals (CI).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The prevalence of sarcopenia was 43.6% (<i>n</i> = 11,665), and 19.4% (<i>n</i> = 5202) had severe sarcopenia. Sociodemographic factors significantly associated with sarcopenia and severe sarcopenia included being widowed (RRR: 1.24, 95% CI: 1.12–1.37 for sarcopenia; RRR: 1.82, 95% CI: 1.64–2.03 for severe sarcopenia) or divorced (RRR: 1.68, 95% CI: 1.12–2.54 for severe sarcopenia). Additionally, a higher BMI and higher education level were associated with a lower risk of sarcopenia. Among comorbidities, joint and bone diseases were linked to both sarcopenia (RRR: 1.21, 95% CI: 1.07–1.35) and severe sarcopenia (RRR: 1.4, 95% CI: 1.23–1.58), while hypertension (RRR: 1.22, 95% CI: 1.1–1.36), chronic lung disease (RRR: 1.22, 95% CI: 1.02–1.44), and cerebrovascular accident (RRR: 1.5, 95% CI: 1.09–2.08) were specifically associated with severe sarcopenia. Geriatric syndromes such as tooth loss, impaired vision and hearing, history of falls, and depression were significantly associated with increased risk of sarcopenia.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This study reveals significant associations between sarcopenia and various sociodemographic factors, comorbidities, and geriatric syndromes in older adults in India, suggesting potential areas for targeted intervention. However, further longitudinal studies are needed to validate these findings and clarify the causal relationships of the observed associations.</p>\n </section>\n </div>","PeriodicalId":17240,"journal":{"name":"Journal of the American Geriatrics Society","volume":"73 5","pages":"1429-1440"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prevalence and Determinants of Sarcopenia Among Older Adults in India: Insights From the Longitudinal Aging Study in India\",\"authors\":\"Abhijith R. Rao, Manjusha Bhagwasia, Vishwajeet Singh, Swati Bajpai, Sunny Singhal, Prasun Chatterjee, Avinash Chakrawarty, Sharmishtha Dey, Aparajit Ballav Dey\",\"doi\":\"10.1111/jgs.19373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Sarcopenia, characterized by declining muscle mass and function, is a growing concern among India's aging population. This study investigates sarcopenia's prevalence and determinants using the nationally representative LASI dataset.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This analysis included 26,780 community-dwelling adults aged 60 and above, with informed consent obtained from all participants. Sarcopenia was defined using the Asian Working Group for Sarcopenia (AWGS) 2019 criteria. Demographic, socioeconomic, health, and geriatric factors, including age, sex, living arrangements, economic status, comorbidities, and geriatric syndromes, were examined. Multinomial logistic regression was used to analyze associations with sarcopenia and severe sarcopenia, and results were expressed as relative risk ratios (RRR) with 95% confidence intervals (CI).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The prevalence of sarcopenia was 43.6% (<i>n</i> = 11,665), and 19.4% (<i>n</i> = 5202) had severe sarcopenia. Sociodemographic factors significantly associated with sarcopenia and severe sarcopenia included being widowed (RRR: 1.24, 95% CI: 1.12–1.37 for sarcopenia; RRR: 1.82, 95% CI: 1.64–2.03 for severe sarcopenia) or divorced (RRR: 1.68, 95% CI: 1.12–2.54 for severe sarcopenia). Additionally, a higher BMI and higher education level were associated with a lower risk of sarcopenia. Among comorbidities, joint and bone diseases were linked to both sarcopenia (RRR: 1.21, 95% CI: 1.07–1.35) and severe sarcopenia (RRR: 1.4, 95% CI: 1.23–1.58), while hypertension (RRR: 1.22, 95% CI: 1.1–1.36), chronic lung disease (RRR: 1.22, 95% CI: 1.02–1.44), and cerebrovascular accident (RRR: 1.5, 95% CI: 1.09–2.08) were specifically associated with severe sarcopenia. Geriatric syndromes such as tooth loss, impaired vision and hearing, history of falls, and depression were significantly associated with increased risk of sarcopenia.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>This study reveals significant associations between sarcopenia and various sociodemographic factors, comorbidities, and geriatric syndromes in older adults in India, suggesting potential areas for targeted intervention. However, further longitudinal studies are needed to validate these findings and clarify the causal relationships of the observed associations.</p>\\n </section>\\n </div>\",\"PeriodicalId\":17240,\"journal\":{\"name\":\"Journal of the American Geriatrics Society\",\"volume\":\"73 5\",\"pages\":\"1429-1440\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Geriatrics Society\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jgs.19373\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Geriatrics Society","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jgs.19373","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Prevalence and Determinants of Sarcopenia Among Older Adults in India: Insights From the Longitudinal Aging Study in India
Background
Sarcopenia, characterized by declining muscle mass and function, is a growing concern among India's aging population. This study investigates sarcopenia's prevalence and determinants using the nationally representative LASI dataset.
Methods
This analysis included 26,780 community-dwelling adults aged 60 and above, with informed consent obtained from all participants. Sarcopenia was defined using the Asian Working Group for Sarcopenia (AWGS) 2019 criteria. Demographic, socioeconomic, health, and geriatric factors, including age, sex, living arrangements, economic status, comorbidities, and geriatric syndromes, were examined. Multinomial logistic regression was used to analyze associations with sarcopenia and severe sarcopenia, and results were expressed as relative risk ratios (RRR) with 95% confidence intervals (CI).
Results
The prevalence of sarcopenia was 43.6% (n = 11,665), and 19.4% (n = 5202) had severe sarcopenia. Sociodemographic factors significantly associated with sarcopenia and severe sarcopenia included being widowed (RRR: 1.24, 95% CI: 1.12–1.37 for sarcopenia; RRR: 1.82, 95% CI: 1.64–2.03 for severe sarcopenia) or divorced (RRR: 1.68, 95% CI: 1.12–2.54 for severe sarcopenia). Additionally, a higher BMI and higher education level were associated with a lower risk of sarcopenia. Among comorbidities, joint and bone diseases were linked to both sarcopenia (RRR: 1.21, 95% CI: 1.07–1.35) and severe sarcopenia (RRR: 1.4, 95% CI: 1.23–1.58), while hypertension (RRR: 1.22, 95% CI: 1.1–1.36), chronic lung disease (RRR: 1.22, 95% CI: 1.02–1.44), and cerebrovascular accident (RRR: 1.5, 95% CI: 1.09–2.08) were specifically associated with severe sarcopenia. Geriatric syndromes such as tooth loss, impaired vision and hearing, history of falls, and depression were significantly associated with increased risk of sarcopenia.
Conclusion
This study reveals significant associations between sarcopenia and various sociodemographic factors, comorbidities, and geriatric syndromes in older adults in India, suggesting potential areas for targeted intervention. However, further longitudinal studies are needed to validate these findings and clarify the causal relationships of the observed associations.
期刊介绍：
Journal of the American Geriatrics Society (JAGS) is the go-to journal for clinical aging research. We provide a diverse, interprofessional community of healthcare professionals with the latest insights on geriatrics education, clinical practice, and public policy—all supporting the high-quality, person-centered care essential to our well-being as we age. Since the publication of our first edition in 1953, JAGS has remained one of the oldest and most impactful journals dedicated exclusively to gerontology and geriatrics.
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