Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: a multi-continent study.
Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: a multi-continent study.
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DOI：
10.1002/jcsm.12076
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
Haro JM
中科院分区：
文献类型：
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作者：
Tyrovolas S;Koyanagi A;Olaya B;Ayuso-Mateos JL;Miret M;Chatterji S;Tobiasz-Adamczyk B;Koskinen S;Leonardi M;Haro JM
本研究的目的是评估与低骨骼肌质量（SMM）、肌肉减少症和肌肉减少性肥胖相关的因素，使用来自世界不同地理区域的年龄≥65岁的全国代表性样本。数据来自18363名年龄≥65岁的人，他们参加了2007年至2012年在芬兰、波兰和西班牙进行的欧洲老龄化合作研究调查，以及在中国、加纳、印度、墨西哥、俄罗斯和南非进行的世界卫生组织全球老龄化研究和成人健康调查。建立了骨骼肌质量指数（SMI）来反映SMM。SMM、SMI和体脂率（%BF）用特定的间接种群公式计算。这些估计是基于年龄、性别、体重、身高和种族。肌肉减少症和肌肉减少性肥胖被定义为特定的临界值。肌肉减少症的患病率从12.6%（波兰）到17.5%（印度）不等，肌肉减少性肥胖的患病率从1.3%（印度）到11.0%（西班牙）不等。在所有国家，较高的BF %与较低的SMM相关，在5个国家与肌肉减少症相关（p < 0.001）。与高水平的体力活动相比，低水平的体力活动与整体样本中肌肉减少症[OR 1.36 (95%CI 1.11-1.67)]和肌肉减少性肥胖[OR 1.80 (95%CI 1.23-2.64)]的几率较高相关。此外，还观察到慢性疾病数量增加与肌肉减少性肥胖之间存在剂量依赖关系。体育活动和身体成分的改变（如高BF %）是预防肌肉减少综合征的关键因素。
The aim of this study was to evaluate the factors associated with low skeletal muscle mass (SMM), sarcopenia, and sarcopenic obesity using nationally representative samples of people aged ≥65 years from diverse geographical regions of the world. Data were available for 18 363 people aged ≥65 years who participated in the Collaborative Research on Ageing in Europe survey conducted in Finland, Poland, and Spain, and the World Health Organization Study on global AGEing and adult health survey conducted in China, Ghana, India, Mexico, Russia, and South Africa, between 2007 and 2012. A skeletal muscle mass index (SMI) was created to reflect SMM. SMM, SMI, and percent body fat (%BF) were calculated with specific indirect population formulas. These estimates were based on age, sex, weight, height, and race. Sarcopenia and sarcopenic obesity were defined with specific cut‐offs. The prevalence of sarcopenia ranged from 12.6% (Poland) to 17.5% (India), and that of sarcopenic obesity ranged from 1.3% (India) to 11.0% (Spain). Higher %BF was associated with lower SMM in all countries, and with sarcopenia in five countries (p < 0.001). Compared to high levels of physical activity, low levels were related with higher odds for sarcopenia [OR 1.36 (95%CI 1.11–1.67)] and sarcopenic obesity [OR 1.80 (95%CI 1.23–2.64)] in the overall sample. Also, a dose‐dependent association between higher numbers of chronic diseases and sarcopenic obesity was observed. Physical activity and body composition changes such as high %BF are key factors for the prevention of sarcopenia syndrome.