摘要
【ABSTRACT】【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.
摘要译文
【摘要】【背景】肌肉减少症，其特征是肌肉质量和功能下降，在印度老龄化人口中日益关注。这项研究使用全国代表性的LASI数据集研究了肌肉减少症的患病率和决定因素。【方法】该分析包括26,780名60岁及60岁的社区居住成年人，并获得了所有参与者的知情同意。Sarcopenia使用亚洲肌肉减少症（AWGS）2019标准定义。检查了人口，社会经济，健康和老年因素，包括年龄，性别，生活安排，经济状况，合并症和老年综合症。多项式逻辑回归用于分析与肌肉减少症和严重的肌肉减少症的关联，结果表示为95％置信区间（CI）表示为相对风险比（RRR）。【结果】核果症的患病率为43.6％（n = 11,665），和19.4％（n = 5202）。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肌肉减少症）。此外，较高的BMI和高等教育水平与肌肉减少症的风险较低有关。在合并症中，关节疾病和骨骼疾病都与肌肉减少症（RRR：1.21，95％CI：1.07-1.35）和严重的肌肉减少症（RRR：1.4，95％CI：1.23-1.58）有关。1.22，95％CI：1.02–1.44）和脑血管事故（RRR：1.5，95％CI：1.09–2.08）特别与严重的肌肉减少症有关。老年综合征，例如牙齿脱落，视力受损和听力，跌倒和抑郁症与肌肉减少症的风险增加显着相关。但是，需要进一步的纵向研究来验证这些发现并阐明观察到的关联的因果关系。