Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: a multi-continent study

被引:202
作者
Tyrovolas, Stefanos [1 ,2 ]
Koyanagi, Ai [1 ,2 ]
Olaya, Beatriz [1 ,2 ]
Luis Ayuso-Mateos, Jose [2 ,3 ]
Miret, Marta [2 ,3 ]
Chatterji, Somnath [4 ]
Tobiasz-Adamczyk, Beata [5 ]
Koskinen, Seppo [6 ]
Leonardi, Matilde [7 ]
Maria Haro, Josep [1 ,2 ]
机构
[1] Univ Barcelona, Fdn St Joan de Deu, Parc Sanitari St Joan de Deu,Dr Antoni Pujades 42, Barcelona 08830, Spain
[2] CIBERSAM, Inst Salud Carlos III, Ctr Invest Biomed Red Salud Mental, Monforte Lemos 3-5,Pabellon 11, Madrid 28029, Spain
[3] Univ Autonoma Madrid, Hosp Univ Princesa, Inst Invest Sanitaria Princesa IP, Dept Psychiat, Madrid, Spain
[4] WHO, Dept Hlth Stat & Informat Syst, Geneva, Switzerland
[5] Jagiellonian Univ, Coll Med, Dept Med Sociol, Krakow, Poland
[6] Natl Inst Hlth & Welf, Helsinki, Finland
[7] Fdn IRCCS Ist Ricovero & Cura Carattere Sci, Neurol Publ Hlth & Disabil Unit, Neurol Inst Carlo Besta, Milan, Italy
关键词
Skeletal muscle mass; Sarcopenia; Sarcopenic obesity; Older adults; WORLD-HEALTH-ORGANIZATION; BODY-FAT; ALTERNATIVE DEFINITIONS; FUNCTIONAL IMPAIRMENT; MORTALITY; INDEX; PERCENTAGE; STRENGTH; RISK; AGE;
D O I
10.1002/jcsm.12076
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
BackgroundThe 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 65years from diverse geographical regions of the world. MethodsData were available for 18363 people aged 65years 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. ResultsThe 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. ConclusionsPhysical activity and body composition changes such as high %BF are key factors for the prevention of sarcopenia syndrome.
引用
收藏
页码:312 / 321
页数:10
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