PT. Physical Therapist, Department of Health Sciences, Universidade Federal de Santa Catarina (UFSC), Araranguá (SC), Brazil.
PT, MSc, PhD. Adjunct Professor, Postgraduate Program, Faculdade de Ciências Médicas de Minas Gerais (FCM-MG), Belo Horizonte (MG), Brazil.
Sao Paulo Med J. 2022 Nov 21;141(4):e2022141. doi: 10.1590/1516-3180.2022.0141.R1.17082022. eCollection 2022.
Screening for probable and confirmed sarcopenia using sociodemographic and anthropometric indicators can be a practical, cheap, and effective strategy to identify and treat older people susceptible to this condition.
To identify cutoff points for sociodemographic and anthropometric variables in screening probable and confirmed sarcopenia in community-dwelling older adults.
This was a cross-sectional study of community-dwelling older adults in Araranguá, Santa Catarina, Brazil.
Sociodemographic (age, education) and anthropometric (weight, height, body mass index [BMI], waist circumference [WC], and dominant calf circumference [DCC]) factors were considered as predictors. The outcomes were probable sarcopenia (reduction in muscle strength assessed by time ≥ 15 s in the five-time sit-to-stand test) and confirmed sarcopenia (reduction in strength and muscle mass). Receiver operating characteristic curve analysis was used to analyze the ability to track sociodemographic and anthropometric variables for sarcopenia.
In 308 older adults, WC > 91 cm in women and age > 69 years in men were useful in screening for probable sarcopenia. The variables age, weight, BMI, WC, and DCC can be used to screen for sarcopenia in older women and men.
Sociodemographic and anthropometric variables are simple and accessible tools for sarcopenia screening in older adults.
使用社会人口学和人体测量学指标筛查可能和确诊的肌肉减少症,可以是一种实用、廉价且有效的策略,以识别和治疗易患这种疾病的老年人。
确定社会人口学和人体测量学变量的切点,以筛查社区居住的老年人中可能和确诊的肌肉减少症。
这是巴西圣卡塔琳娜州阿雷兰瓜的一项社区居住老年人的横断面研究。
考虑了社会人口学(年龄、教育)和人体测量学(体重、身高、体重指数 [BMI]、腰围 [WC] 和优势小腿围 [DCC])因素作为预测因素。结果是可能的肌肉减少症(通过五次坐立试验评估的肌肉力量下降,时间≥15 秒)和确诊的肌肉减少症(力量和肌肉质量下降)。受试者工作特征曲线分析用于分析社会人口学和人体测量学变量对肌肉减少症的跟踪能力。
在 308 名老年人中,女性 WC > 91 cm 和男性年龄 > 69 岁有助于筛查可能的肌肉减少症。年龄、体重、BMI、WC 和 DCC 等变量可用于筛查老年女性和男性的肌肉减少症。
社会人口学和人体测量学变量是筛查老年人肌肉减少症的简单、可获得的工具。