Pang Benedict Wei Jun, Wee Shiou-Liang, Chen Kenneth Kexun, Lau Lay Khoon, Jabbar Khalid Abdul, Seah Wei Ting, Ng Daniella Hui Min, Tan Queenie Lin Ling, Jagadish Mallya Ullal, Ng Tze Pin
Geriatric Education and Research Institute, Singapore.
Faculty of Health and Social Sciences, Singapore Institute of Technology, Singapore.
Osteoporos Sarcopenia. 2021 Mar;7(1):17-23. doi: 10.1016/j.afos.2020.12.002. Epub 2021 Jan 7.
To 1) report prevalence of 'osteosarcopenia' (OS) and osteosarcopenic obesity (OSO) entities using evidence-based diagnostic techniques and definitions, 2) examine if OSO offers additional predictive value of functional decline over its components, and 3) identify associated factors in a multi-racial Southeast Asian population.
We performed a cross-sectional study of a representative sample of 542 community-dwelling adults (21-90 years old), and assessed anthropometry, cognition, functional performance, and self-report sociodemographic, health and lifestyle questionnaires. Low muscle mass, and the Asian Working Group for Sarcopenia (AWGS) 2019 criteria, were used to assess sarcopenia. Obesity was defined using percentage body fat and fat mass index. Osteopenia/osteoporosis was determined using lumbar spinal bone mineral density. Associated factors were examined using logistic regression, and OSO's value investigated using linear regressions with functional performance.
OS and OSO prevalence were 1.8% and 0% (21-59 years), 12.9% and 2.8% (≥ 60 years), 17.3% and 4.1% (≥ 65 years), and 25.5% and 7.0% (≥75 years), respectively. OSO entity as defined was not a significant predictor (P > 0.05) and did not improve explanations for functional decline over sarcopenia or sarcopenic obesity. Age, sex, race and body mass index (BMI) were associated with OS, while age, sex, race and alcoholism were associated with OSO.
Our results do not support OSO as a distinct entity in relation to functional decline. Aside from biological age, sex, and race, amenable lifestyle factors such as BMI and alcohol intake are important variables that can influence the co-existence of osteopenia/osteoporosis, sarcopenia and obesity.
1)运用循证诊断技术和定义报告“骨少肌症”(OS)和骨少肌性肥胖(OSO)的患病率;2)检验OSO相较于其组成部分是否对功能衰退具有额外的预测价值;3)确定多民族东南亚人群中的相关因素。
我们对542名社区居住成年人(21 - 90岁)的代表性样本进行了横断面研究,评估了人体测量学指标、认知能力、功能表现以及自我报告的社会人口统计学、健康和生活方式问卷。采用低肌肉量以及亚洲肌少症工作组(AWGS)2019标准评估肌少症。使用体脂百分比和脂肪量指数定义肥胖。通过腰椎骨密度测定骨质疏松症/骨质减少症。使用逻辑回归分析相关因素,并通过功能表现的线性回归研究OSO的价值。
OS和OSO的患病率分别为:21 - 59岁时为1.8%和0%,≥60岁时为12.9%和2.8%,≥65岁时为17.3%和4.1%,≥75岁时为25.5%和7.0%。所定义的OSO实体并非功能衰退的显著预测指标(P > 0.05),与肌少症或肌少症肥胖相比,也并未改善对功能衰退的解释。年龄、性别、种族和体重指数(BMI)与OS相关,而年龄、性别、种族和酗酒与OSO相关。
我们的结果不支持将OSO作为与功能衰退相关的一个独特实体。除了生物学年龄、性别和种族外,诸如BMI和酒精摄入量等可控的生活方式因素是影响骨质疏松症/骨质减少症、肌少症和肥胖症共存情况的重要变量。