Wang Boshi, Nong Chenyu, Zhang Jiayu, Deng Lihua, Li Wei, Zhang Xue, Liu Peng
Clinical Nutrition Department, Peking University People's Hospital, Beijing, China.
Geriatric Medicine Unit, Peking University People's Hospital, Beijing, China.
Eur J Med Res. 2024 Dec 19;29(1):598. doi: 10.1186/s40001-024-02185-9.
The objective of this investigation was to examine the frequency and determinants related to body composition of sarcopenia among aging individuals residing in the Beijing community through implementation of the diagnostic criteria for sarcopenia outlined by the 2019 Asian Working Group for Sarcopenia (AWGS).
A cross-sectional examination employing multistage cluster sampling was conducted on a sample consisting of 933 individuals aged 50 years or above. The study utilized the AWGS 2019 criteria for muscle mass, muscle strength, and physical function to gauge sarcopenia. In addition, data on demographic characteristics, anthropometry, and body composition were collected. Logistic regression analysis was carried out to ascertain the relationships between sarcopenia and correlated factors.
The study found that the overall prevalence of sarcopenia was 8.3%. Sex (p < 0.001) and body mass index (BMI p < 0.001) were determined to have a significant association with the occurrence of sarcopenia. The adjusted analyses demonstrated that with each standard deviation increase in fat-free mass index (OR = 0.02 (0.01-0.05), of 95%), skeletal muscle mass (OR = 0.17 (0.12-0.25), of 95%), and other body composition indicators (including total body water 0.26 (0.2-0.35), intracellular water 0.1 (0.06-0.17), protein 0.01 (0-0.02), soft lean mass 0.35 (0.28-0.44), BMI 0.58 (0.51-0.67), body cell mass 0.21 (0.15-0.29), OR < 0.60, of 95%), the risk of sarcopenia decreased by more than 40%. Certain straightforwardly accessible anthropometric indices such as upper arm circumference (correlation coefficient 0.94 (0.9-0.97), 0.97 (0.95-1), 1.01 (0.99-1.03), respectively, of 95%), waist circumference (0.94(0.92-0.96), 1.01 (0.99-1.03), 1.02 (1-1.03), of 95%), hip circumference (0.93 (0.9-0.96), 0.99 (0.97-1.02), 1.02 (1-1.04), of 95%), waist-to-hip ratio (0.93 (0.87-1), 1.04 (1-1.08), 1 (0.97-1.03), of 95%), body fat percentage (1 (0.98-1.02), 1.02(1-1.04), 1.01 (0.99-1.02), of 95%), and phase angle (0.91 (0.89-0.93), 0.96 (0.94-0.98), 0.99 (0.98-1), of 95%) exhibited substantial correlation with skeletal muscle index, muscle strength or physical performance. However, no noteworthy link between sarcopenia and most variables associated with physical function was discovered.
The findings of the study highlight the prevalence of sarcopenia among the aging residents of Beijing. Certain easily measured anthropometric indices demonstrated strong correlation with muscle strength or physical performance, thereby providing an avenue for screening and diagnosing sarcopenia in older people who may not be able to undergo grip strength or physical function assessments. To investigate causal relationships, future studies employing longitudinal or interventional designs with a more comprehensive population are warranted.
本研究旨在通过应用2019年亚洲肌少症工作组(AWGS)制定的肌少症诊断标准,调查北京社区老年人群中肌少症的发生频率及其与身体组成的相关因素。
采用多阶段整群抽样方法,对933名50岁及以上的个体进行横断面调查。本研究运用AWGS 2019年的肌肉量、肌肉力量和身体功能标准来评估肌少症。此外,还收集了人口统计学特征、人体测量学和身体组成的数据。进行逻辑回归分析以确定肌少症与相关因素之间的关系。
研究发现,肌少症的总体患病率为8.3%。性别(p < 0.001)和体重指数(BMI,p < 0.001)与肌少症的发生显著相关。校正分析表明,无脂肪质量指数(OR = 0.02(0.01 - 0.05),95%)、骨骼肌质量(OR = 0.17(0.12 - 0.25),95%)以及其他身体组成指标(包括全身水0.26(0.2 - 0.35)、细胞内水0.1(0.06 - 0.17)、蛋白质0.01(0 - 0.02)、瘦软组织质量0.35(0.28 - 0.44)、BMI 0.58(0.51 - 0.67)、身体细胞质量0.21(0.15 - 0.29),OR < 0.60,95%)每增加一个标准差,肌少症风险降低超过40%。某些易于获取的人体测量指标,如上臂围(相关系数分别为0.94(0.9 - 0.97)、0.97(0.95 - 1)、1.01(0.99 - 1.03),95%)、腰围(0.94(0.92 - 0.96)、1.01(0.99 - 1.03)、1.02(1 - 1.03),95%)、臀围(0.93(0.9 - 0.96)、0.99(0.97 - 1.02)、1.02(1 - 1.04),95%)、腰臀比(0.93(0.87 - 1)、1.04(1 - 1.08)、1(0.97 - 1.03),95%)、体脂百分比(1(0.98 - 1.02)、1.02(1 - 1.04)、1.01(0.99 - 1.02),95%)和相位角(0.91(0.89 - 0.93)、0.96(0.94 - 0.98)、0.99(0.98 - 1),95%)与骨骼肌指数、肌肉力量或身体表现显著相关。然而,未发现肌少症与大多数身体功能相关变量之间存在显著关联。
本研究结果突出了北京老年居民中肌少症的患病率。某些易于测量的人体测量指标与肌肉力量或身体表现密切相关,从而为无法进行握力或身体功能评估的老年人筛查和诊断肌少症提供了途径。为了研究因果关系,未来有必要采用纵向或干预设计对更广泛的人群进行研究。