Red Cross College of Nursing, Chung-Ang University, Seoul, South Korea.
College of Nursing, Institute of Health Science Research, Inje University, Busan, South Korea.
Nurs Health Sci. 2024 Dec;26(4):e13190. doi: 10.1111/nhs.13190.
This cross-sectional study aimed to identify the impact of multimorbidity on self-reported sarcopenia and compare the differences in the prevalence and associated factors of sarcopenia in community-dwelling older adults with and without multimorbidity. We enrolled 876 community-dwelling older adults in South Korea. Multimorbidity was defined as the coexistence of two or more chronic diseases, and sarcopenia was evaluated using the Strength, Assistance in walking, Rising from a chair, Climbing stairs, and Falling Questionnaire. Binomial logistic regression analyses were performed. Our study revealed that the prevalence of sarcopenia was significantly higher (43.5%) in older adults with multimorbidity than in those without multimorbidity (20.8%). This finding underscores the significant impact of multimorbidity on sarcopenia. We also found that poor perceived health status was the strongest predictor of sarcopenia in older adults with multimorbidity, while oldest-old age (≥ 85 years) was the strongest predictor of sarcopenia in those without multimorbidity. Large prospective cohort studies using objective sarcopenia screening tools are needed to demonstrate the synergistic effects of multimorbidity and sarcopenia on health outcomes among community-dwelling older adults.
本横断面研究旨在确定多种疾病对自我报告的肌肉减少症的影响,并比较有和没有多种疾病的社区居住老年人中肌肉减少症的患病率和相关因素的差异。我们在韩国招募了 876 名社区居住的老年人。多种疾病定义为两种或多种慢性疾病的共存,使用力量、行走辅助、从椅子上站起来、爬楼梯和跌倒问卷评估肌肉减少症。进行了二项逻辑回归分析。我们的研究表明,患有多种疾病的老年人中肌肉减少症的患病率(43.5%)明显高于没有多种疾病的老年人(20.8%)。这一发现强调了多种疾病对肌肉减少症的重大影响。我们还发现,较差的自我感知健康状况是患有多种疾病的老年人肌肉减少症的最强预测因素,而最年长的年龄(≥85 岁)是没有多种疾病的老年人肌肉减少症的最强预测因素。需要进行大型前瞻性队列研究,使用客观的肌肉减少症筛查工具,以证明多种疾病和肌肉减少症对社区居住老年人健康结果的协同作用。