Using two different algorithms to determine the prevalence of sarcopenia

作者：Yoshida Daisuke^*; Suzuki Takao; Shimada Hiroyuki; Park Hyuntae; Makizako Hyuma; Doi Takehiko; Anan Yuya; Tsutsumimoto Kota; Uemura Kazuki; Ito Tadashi; Lee Sangyoon

来源：Geriatrics and Gerontology International, 2014, 14(S1): 46-51.

DOI：10.1111/ggi.12210

<jats:sec><jats:title>Aim</jats:title><jats:p>Several operative definitions and screening methods for sarcopenia have been proposed in previous studies; however, the opinions of researchers still differ. We compared the prevalence of sarcopenia using two different algorithms: (i) the <jats:styled-content style="fixed-case">E</jats:styled-content>uropean working group on sarcopenia in older people (<jats:styled-content style="fixed-case">EWGSOP</jats:styled-content>)‐suggested algorithm using gait speed as the first step; and (ii) the muscle mass and strength algorithm.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A population‐based, cross‐sectional survey of adults aged over 65 years was carried out. Data on a total of 4811 participants were available for analysis. Gait speed, grip strength and appendicular skeletal muscle mass were assessed to determine sarcopenia. Appendicular skeletal muscle mass was estimated from bioimpedance analysis measurements and expressed as skeletal muscle mass index. Grip strength and skeletal muscle mass index were considered to be low if they fell below the threshold of the lowest 20% of values measured in a subset of healthy subjects. We compared the prevalence rates of sarcopenia determined by the two algorithms.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The prevalence rate of sarcopenia in a representative sample of older Japanese adults was 8.2% for men and 6.8% for women based on the <jats:styled-content style="fixed-case">EWGSOP</jats:styled-content> algorithm. The two algorithms identified the same participants as sarcopenic, the only difference being the <jats:styled-content style="fixed-case">EWGSOP</jats:styled-content> algorithm classified an additional seven participants (0.15%) into sarcopenia compared with the muscle mass and strength algorithm.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>It is debatable whether inclusion of gait speed is necessary when screening for sarcopenia in community‐dwelling older adults. Future research should examine the necessity of including gait speed in algorithms and the validity of cut‐off values. <jats:bold>Geriatr Gerontol Int 2014; 14 (Suppl. 1): 46–51.</jats:bold></jats:p></jats:sec>

• 出版日期2014-2