Huh Youn, Lee Seo Hyeon, Son Ki Young
Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji Unversity, Uijeongbu-si, Republic of Korea.
Department of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Geriatr Gerontol Int. 2023 Feb;23(2):71-77. doi: 10.1111/ggi.14516. Epub 2022 Dec 22.
We investigated the difference in the relationship between physical activity and low muscle mass resulting from the choice of diagnostic criterion for low muscle mass.
Our study was cross-sectional, using data from the 2008-2011 National Health and Nutrition Examination Survey. Muscle mass was measured by dual-energy X-ray absorptiometry. Low muscle mass was defined as height-adjusted and weight-adjusted low muscle mass. Odds ratios (ORs) and 95% confidence intervals (CIs) of low muscle mass in relation to physical inactivity were analyzed using multivariate logistic regression analysis.
Our study included 3977 older people (1698 men and 2279 women). The prevalence of height-adjusted and weight-adjusted low muscle mass was 4.1% and 11.8%, respectively, in the physically inactive group, and 3.9% and 7.9%, respectively, in the physically active group. The prevalence of weight-adjusted low muscle mass increased by 48% in the physically inactive group in the fully adjusted model (OR, 1.48; 95% CI, 1.13-1.95) and increased by 61% in men and 50% in women (men: OR, 1.61; 95% CI, 1.12-2.31 and women: OR, 1.50; 95% CI, 1.20-2.20) compared with the physically active group. The risk of height-adjusted low muscle mass in men tended to be higher in the physically inactive group than in the physically active group. However, this trend was not observed among women.
Physical inactivity was associated with an increased prevalence of low muscle mass in weight-adjusted measures among elderly adults in Korea. Height-adjusted low muscle mass in women is less useful as an indicator of the relationship between low muscle mass and physical inactivity. Geriatr Gerontol Int 2023; 23: 71-77.
我们研究了因低肌肉量诊断标准的选择而导致的身体活动与低肌肉量之间关系的差异。
我们的研究为横断面研究，使用了2008 - 2011年国家健康与营养检查调查的数据。肌肉量通过双能X线吸收法测量。低肌肉量被定义为身高调整和体重调整后的低肌肉量。使用多因素逻辑回归分析来分析身体不活动与低肌肉量相关的比值比（OR）和95%置信区间（CI）。
我们的研究纳入了3977名老年人（1698名男性和2279名女性）。在身体不活动组中，身高调整和体重调整后的低肌肉量患病率分别为4.1%和11.8%，而在身体活动组中分别为3.9%和7.9%。在完全调整模型中，身体不活动组体重调整后的低肌肉量患病率增加了48%（OR，1.48；95%CI，1.13 - 1.95），与身体活动组相比，男性增加了61%，女性增加了50%（男性：OR，1.61；95%CI，1.12 - 2.31；女性：OR，1.50；95%CI，1.20 - 2.20）。身体不活动组男性中身高调整后的低肌肉量风险往往高于身体活动组。然而，在女性中未观察到这种趋势。
在韩国老年人中，身体不活动与体重调整测量中低肌肉量患病率增加有关。女性中身高调整后的低肌肉量作为低肌肉量与身体不活动之间关系的指标不太有用。《老年医学与老年病学国际杂志》2023年；23：71 - 77。
