PREDICTORS OF DECREASED SKELETAL MUSCLE MASS IN COMMUNITY-DWELLING OLDER ADULTS

N. Shiraishi, Yusuke Suzuki, T. Hirose, S. Jeong, T. Shimada, K. Okada, M. Kuzuya
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引用次数: 2

Abstract

Objective: To date, the actual prevalence of Skeletal muscle mass (SMM) loss by rigorous definition and its related factors have not been sufficiently surveyed in the community. We therefore examined the factors related to the reductions of skeletal muscle mass (SMM) in older adults. Design: Case-control study. Subjects: One hundred twenty four community-dwelling older adults aged ≥65 years participated. Measurements: Reductions of SMM were assessed by measuring difference between SMM at baseline and SMM 1 year later, by which participants were divided into three groups. Variables of the first tertile group, who had the greatest decrease in SMM, were compared with those of the second/third tertile groups. Variables included hight, weight, body mass index (BMI), maximal knee extension strength, grip strength, lower and upper muscle quality (UMQ), 5-m walking time (WT), timed up and go (TUG), food frequency questionnaire, mini nutritional assessment short form (MNA-SF), basic health checklist. A logistic regression analysis and classification and regression trees (CART) were used for multivariate analysis in order to extract variables that predicted reductions of SMM. Results: Significant differences were observed for age, SMM, UMQ, TUG, and WT between the first tertile and the second/third tertile groups, The CART analysis indicated that vitamin D intake UMQ and 5-m WT predicted significant decrease in SMM. Conclusion: The present study suggested a possibility that future reductions of SMM could be predicted by simple indices that may contribute to early detection of individuals at risk of developing sarcopenia in old age.
社区居住老年人骨骼肌量减少的预测因素
目的:迄今为止,在社区中,严格定义的骨骼肌质量(SMM)损失的实际患病率及其相关因素尚未得到充分调查。因此,我们研究了与老年人骨骼肌质量(SMM)减少相关的因素。设计:病例对照研究。受试者:124名年龄≥65岁的社区老年人参与。测量:通过测量基线和1年后SMM的差异来评估SMM的减少,参与者分为三组。将SMM下降幅度最大的1 / 3组与2 / 3组进行比较。变量包括身高、体重、身体质量指数(BMI)、最大膝关节伸直力量、握力、上下肌质量(UMQ)、5米步行时间(WT)、起床时间(TUG)、进食频率问卷、迷你营养评估简表(MNA-SF)、基本健康检查表。采用logistic回归分析和分类回归树(CART)进行多变量分析,以提取预测SMM降低的变量。结果:在第一组和第二/第三组之间,年龄、SMM、UMQ、TUG和WT有显著差异。CART分析表明,维生素D摄入UMQ和5-m WT预测SMM显著下降。结论:目前的研究表明,SMM的未来减少可以通过简单的指标来预测,这可能有助于早期发现有老年肌肉减少症风险的个体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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