Gupta Nalina, Kumar Palani G, Patel Divya J
Professor, Department of Physiotherapy, Chitkara School of Health Sciences, Chitkara University, Punjab, India.
Former Professor, College of Physiotherapy, Sumandeep Vidyapeeth- An Institution Deemed-to-be-University, Vadodara, Gujarat, India.
J Family Med Prim Care. 2024 Aug;13(8):2964-2971. doi: 10.4103/jfmpc.jfmpc_696_23. Epub 2024 Jul 26.
There are few studies on the prevalence of sarcopenia and frailty in India.
The aim of this study was to assess sarcopenia and frailty using simple clinical tools among the elderly population in the community.
This was an observational study. The elderly population with an age group of >60 years residing in villages within 10-15 km of Sumandeep Vidyapeeth, Vadodara, formed the sampling frame of the study.
A total of 785 participants were approached, of whom 556 were included in the study based on inclusion criteria. Participants were assessed for grip strength, muscle mass, gait speed, and frailty.
The data were analyzed using STATA-IC statistical software version 13. A nonparametric Chi-square (χ2) test was used for categorical variables, and an independent-samples -test was used to analyze the difference between various variables. Statistical significance was considered at < 0.05 with a 95% confidence interval (CI).
Based on the Indian criteria, 205 participants (36.1%) were diagnosed as having sarcopenia, and 351 participants (63%) were diagnosed as having "no sarcopenia." 5.6% of participants were found to be frail, 19.2% to be pre-frailty, and 75.2% to be no frailty. The χ analysis showed a significant association of sarcopenia with gender and different age groups ( value < 0.001).
In this study, 36.9% of the elderly participants were found to have "sarcopenia," and 5.6% of the participants had frailty. Simple clinical tools used were easy to administer and suitable for field screening.
关于印度肌肉减少症和衰弱症患病率的研究较少。
本研究的目的是使用简单的临床工具评估社区老年人群中的肌肉减少症和衰弱症。
这是一项观察性研究。居住在瓦多达拉苏曼德普维迪亚佩特方圆10 - 15公里内村庄的60岁以上老年人群构成了本研究的抽样框架。
共接触了785名参与者,其中556名根据纳入标准被纳入研究。对参与者进行握力、肌肉量、步速和衰弱情况的评估。
使用STATA - IC统计软件版本13对数据进行分析。分类变量采用非参数卡方(χ²)检验,分析各变量之间的差异采用独立样本t检验。统计学显著性以P < 0.05和95%置信区间(CI)来判定。
根据印度标准,205名参与者(36.1%)被诊断为患有肌肉减少症,351名参与者(63%)被诊断为“无肌肉减少症”。发现5.6%的参与者衰弱,19.2%处于衰弱前期,75.2%无衰弱。卡方分析显示肌肉减少症与性别和不同年龄组存在显著关联(P值< 0.001)。
在本研究中,36.9%的老年参与者被发现患有“肌肉减少症”,5.6%的参与者存在衰弱。所使用的简单临床工具易于实施,适用于现场筛查。