Faculty of Medicine, Department of Geriatric Medicine, Gazi University, Ankara, 06560, Türkiye.
BMC Geriatr. 2024 Oct 24;24(1):875. doi: 10.1186/s12877-024-05418-y.
Sarcopenia, characterized by the loss of skeletal muscle, is assessed using appendicular skeletal muscle mass indices (ASMI). Various international groups propose different ASMI thresholds for assessing sarcopenia. However, the optimal ASMI that correlates best with physical performance measures in older Turkish adults remains unexplored. This study aims to determine which ASMI is most closely associated with physical performance measures, particularly low handgrip strength (dynapenia), in Turkish older adults.
The study included 326 individuals aged 60 and above. Comprehensive geriatric assessments were conducted on all participants, along with anthropometric evaluations and body composition analyses. ASMI was calculated by adjusting height squared, weight, and body mass index (BMI). Physical performance was assessed through handgrip strength, gait speed, and the chair stand test.
The mean age of the participants was 74 ± 5.77 years, with 59.8% being women and 37.5% having dynapenia. Height-squared adjusted ASMI was not significantly associated with gait speed or the chair stand test. Weight-adjusted ASMI correlated with handgrip strength and gait speed but not with the chair stand test. Both height and weight-adjusted ASMI did not differ significantly between participants with and without dynapenia (p > 0.05). BMI-adjusted ASMI significantly correlated with all physical performance parameters (p < 0.05). Furthermore, in multivariate regression analysis, BMI-adjusted ASMI (OR = 0.028, 95% CI = 0.01-0.31, p = 0.006) was independently associated with dynapenia.
The study indicates that ASMI adjusted for BMI shows stronger correlations with all physical performance parameters and is independently associated with dynapenia. Utilizing ASMI adjusted for BMI may improve sarcopenia diagnosis in Turkish older adults.
肌少症的特征是骨骼肌丧失，通过四肢骨骼肌质量指数（ASMI）进行评估。不同的国际组织提出了不同的 ASMI 阈值来评估肌少症。然而，在土耳其老年人中，与身体机能测量结果相关性最佳的最佳 ASMI 仍未得到探索。本研究旨在确定哪种 ASMI 与土耳其老年人的身体机能测量结果，特别是握力低（肌少症）相关性最强。
本研究纳入了 326 名 60 岁及以上的个体。对所有参与者进行了全面的老年评估，同时进行了人体测量评估和身体成分分析。通过调整身高平方、体重和体重指数（BMI）来计算 ASMI。通过握力、步速和椅子站立测试评估身体机能。
参与者的平均年龄为 74±5.77 岁，其中 59.8%为女性，37.5%存在握力低。身高平方调整后的 ASMI 与步速或椅子站立测试无显著相关性。体重调整后的 ASMI 与握力和步速相关，但与椅子站立测试无关。存在或不存在握力低的参与者之间，身高和体重调整后的 ASMI 无显著差异（p＞0.05）。BMI 调整后的 ASMI 与所有身体机能参数显著相关（p＜0.05）。此外，在多元回归分析中，BMI 调整后的 ASMI（OR=0.028，95%CI=0.01-0.31，p=0.006）与握力低独立相关。
本研究表明，BMI 调整后的 ASMI 与所有身体机能参数的相关性更强，并且与握力低独立相关。在土耳其老年人中，使用 BMI 调整后的 ASMI 可能会改善肌少症的诊断。
