Associations between multimorbidity patterns and sarcopenia transitions in Chinese older adults

IF 2.4 4区医学 Q3 GERIATRICS & GERONTOLOGY

Geriatrics & Gerontology International Pub Date : 2024-10-07 DOI:10.1111/ggi.14984

Lingxiao He, Shujing Lin, Jinzhu Yang, Ya Fang

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Abstract

Aim

Previous studies have shown that chronic diseases are strongly linked to the development of sarcopenia. Few studies have assessed the relationship between multimorbidity patterns and sarcopenia. This study aimed to investigate the impact of multimorbidity patterns on sarcopenia transitions in Chinese older adults.

Methods

A total of 3842 older adults (aged 66.7 ± 6.2 years) with complete data at baseline and at least one follow-up record (2 years) were included from the China Health and Retirement Longitudinal Study. Multimorbidity patterns were identified using latent class analysis. Sarcopenia was determined by the Asian Working Group for Sarcopenia 2019 criteria. Multistage Markov modeling was used to explore the association of multimorbidity patterns with sarcopenia transitions after controlling for covariates in demographic features, health status and health-related behaviours.

Results

Four multimorbidity patterns were identified at baseline: respiratory (17.73%), osteoarthritis-hypertension (22.23%), digestive-osteoarthritis (26.78) and cardiometabolic (33.27%). Participants with non-sarcopenia had 1-year transition probability of developing possible sarcopenia (10.1%) or sarcopenia (5.4%). Compared with the group without chronic diseases, the presence of cardiometabolic pattern increased the risk of progression from non-sarcopenia to possible sarcopenia (HR 1.43, 95% CI 1.05–2.95). The presence of the osteoarthritis-hypertension pattern (HR 1.55, 95% CI 1.00–2.41) and the digestive-osteoarthritis pattern (HR 1.78, 95% CI 1.20–2.66) were associated with the transition toward sarcopenia from non-sarcopenia.

Conclusions

Sarcopenia is a dynamic condition in older adults. To address sarcopenia in older adults, tailored interventions should be targeted at populations with different multimorbidity patterns. Geriatr Gerontol Int 2024; 24: 1137–1143.

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中国老年人多病模式与肌肉疏松症转变之间的关系。

目的：以往的研究表明，慢性疾病与肌肉疏松症的发生密切相关。但很少有研究评估多病模式与肌肉疏松症之间的关系。本研究旨在探讨多病模式对中国老年人肌肉疏松症转变的影响：中国健康与退休纵向研究共纳入了 3842 名基线数据完整且至少有一次随访记录（2 年）的老年人（年龄为 66.7 ± 6.2 岁）。通过潜类分析确定了多病模式。根据亚洲肌少症工作组2019年标准确定肌少症。在控制了人口特征、健康状况和健康相关行为等协变量后，采用多阶段马尔可夫模型探讨多病模式与肌肉疏松症转变之间的关联：基线确定了四种多病模式：呼吸系统（17.73%）、骨关节炎-高血压（22.23%）、消化系统-骨关节炎（26.78%）和心脏代谢（33.27%）。患有非肌肉疏松症的受试者在 1 年过渡期内可能患上肌肉疏松症（10.1%）或肌肉疏松症（5.4%）。与没有慢性疾病的组别相比，存在心脏代谢模式会增加从非肌肉疏松症发展为可能的肌肉疏松症的风险（HR 1.43，95% CI 1.05-2.95）。骨关节炎-高血压模式（HR 1.55，95% CI 1.00-2.41）和消化系统-骨关节炎模式（HR 1.78，95% CI 1.20-2.66）与非肌肉疏松症向肌肉疏松症转变有关：结论：肌肉疏松症是老年人的一种动态症状。结论：肌肉疏松症是老年人的一种动态症状，要解决老年人的肌肉疏松症问题，应针对不同的多病模式人群采取有针对性的干预措施。Geriatr Gerontol Int 2024; --：-----.

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来源期刊

Geriatrics & Gerontology International 医学-老年医学

CiteScore

5.50

自引率

6.10%

发文量

189

审稿时长

4-8 weeks

期刊介绍： Geriatrics & Gerontology International is the official Journal of the Japan Geriatrics Society, reflecting the growing importance of the subject area in developed economies and their particular significance to a country like Japan with a large aging population. Geriatrics & Gerontology International is now an international publication with contributions from around the world and published four times per year.