タイでのサルコペニアの有病割合

タイでのサルコペニアの有病割合と関連要因に関する論文を紹介します。

Pongchaiyakul C, Limpawattana P, Kotruchin P, Rajatanavin R. Prevalence of sarcopenia and associated factors among Thai population. Bone Miner Metab. 2013 Feb 2. [Epub ahead of print]

対象はタイの都市在住の435人と地方在住の397人で、年齢は20-84歳です。サルコペニアの有病割合は骨格筋指数で評価しています（おそらくDEXAで筋肉量を評価）。結果ですが、サルコペニアの有病割合は男性で35.33%、女性で34.74％でした。

多変量解析では男女とも、都市在住、BMI高値、高齢がサルコペニアと関連していました。都市在住が最も強い要因で、地方在住と比較した場合の有病割合の比は男性2.01倍、女性1.69倍でした。サルコペニアの早期発見がサルコペニア関連の障害予防に重要です。

都市在住と地方在住でこれだけサルコペニアの有病割合が異なるというのは、意外な結果です。都市在住のほうが食生活や運動量・活動量に問題があるのかもしれません。BMIが高いほうがサルコペニアが多いというのも意外で、サルコペニア肥満に注意ということでしょうか。

Abstract

The purpose of this study was to determine the prevalence of sarcopenia using the skeletal muscle index (SMI) criteria in the Thai population. The secondary objective was to demonstrate factors influencing low SMI in this population. Femoral neck bone mass density (BMD) was measured by dual-energy X-ray absorptiometry (GE Lunar, Madison, WI, USA) in 435 urban and 397 rural subjects (334 men and 498 women) between 20 and 84 years of age. Body mass index (BMI) was calculated from weight and height. The respective prevalence of sarcopenia among men and women was 35.33 % (95 % CI, 29.91, 40.41) and 34.74 % (95 % CI, 30.56, 39.10). Factors associated with sarcopenia using multiple logistic regression analyses in both sexes were (a) living in the city, (b) higher BMI, and (c) older age. Living in an urban area was the strongest factor, with an odds ratio (OR) of 17.26 ± 7.12 (95 % CI, 7.68, 38.76) in men and 8.62 ± 2.74 (95 % CI, 4.62, 16.05) in women (p < 0.05). The prevalence rate ratio for persons living in urban compared to rural areas was 2.01 (95 % CI, 1.14, 3.53) in men and 1.69 (95 % CI, 1.31, 2.17) in women (p < 0.05). Sarcopenia, as based on SMI, occurs frequently in the Thai population and increases with age. The prevalence of sarcopenia is particularly high among pre-retirement women (50-59 years of age) whereas the number of men with sarcopenia gradually rises with age. An urban environment is the most predictive factor for sarcopenia, followed by high BMI and age. Given the aging population, early recognition of this condition can be beneficial for prevention of an epidemic of sarcopenia-related disability.