著者
真田 樹義 宮地 元彦 山元 健太 村上 晴香 谷本 道哉 大森 由実 河野 寛 丸藤 祐子 塙 智史 家光 素行 田畑 泉 樋口 満 奥村 重年
出版者
一般社団法人日本体力医学会
雑誌
体力科學 (ISSN:0039906X)
巻号頁・発行日
vol.59, no.3, pp.291-302, 2010-06-01
参考文献数
23
被引用文献数
2 8

The purpose of this study was to develop prediction models of sarcopenia in 1,894 Japanese men and women aged 18-85 years. Reference values for sarcopenia (skeletal muscle index, SMI; appendicular muscle mass/height<sup>2</sup>, kg/m<sup>2</sup>) in each sex were defined as values two standard deviations (2SD) below the gender-specific means of this study reference data for young adults aged 18-40 years. Reference values for predisposition to sarcopenia (PSa) in each gender were also defined as values one standard deviations (1SD) below. The subjects aged 41 years or older were randomly separated into 2 groups, a model development group and a validation group. Appendicular muscle mass was measured by DXA. The reference values of sarcopenia were 6.87 kg/m<sup>2</sup> and 5.46 kg/m<sup>2</sup>, and those of PSa were 7.77 kg/m<sup>2</sup> and 6.12 kg/m<sup>2</sup>. The subjects with sarcopenia and PSa aged 41 years or older were 1.7% and 28.8% in men and 2.7% and 20.7% in women. The whole body bone mineral density of PSa was significantly lower than in normal subjects. The handgrip strength of PSa was significantly lower than in normal subjects. Stepwise regression analysis indicated that the body mass index (BMI), waist circumference and age were independently associated with SMI in men; and BMI, handgrip strength and waist circumference were independently associated with SMI in women. The SMI prediction equations were applied to the validation group, and strong correlations were also observed between the DXA-measured and predicted SMI in men and women. This study proposed the reference values of sarcopenia in Japanese men and women. The prediction models of SMI using anthropometric measurement are valid for alternative DXA-measured SMI in Japanese adults.

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日本人の成人を対象に作成された、四肢骨格筋量指数(SMI)の予測式があります。 これは、年齢やBMI、腹囲、握力などからSMIを算出することができます。 SMIを算出できる体組成計がない場合は、この予測式を代わりに用いることができます。 https://t.co/SUrjRiOeLj

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