Association of multimorbidity patterns with incident disability and recovery of independence among middle-aged and older adults

Author:

Zhou Jiayi12ORCID,Wei Melissa Y3,Zhang Jingyi4,Liu Hua5,Wu Chenkai2ORCID

Affiliation:

1. School of Public Health , LKS Faculty of Medicine, University of Hong Kong, Hong Kong 999077 , China

2. Global Health Research Center , Duke Kunshan University, Kunshan 215316 , China

3. Division of General Internal Medicine and Health Services Research , David Geffen School of Medicine, University of California, Los Angeles, CA 90095 , USA

4. College of Arts and Sciences , Hanover, NH 02747 , USA

5. Department of Neurosurgery , The Affiliated Kunshan Hospital of Jiangsu University, Suzhou, China

Abstract

Abstract Objective to identify multimorbidity patterns among middle-aged and older adults in China and examine how these patterns are associated with incident disability and recovery of independence. Methods data were from The China Health and Retirement Longitudinal Study. We included 14,613 persons aged ≥45 years. Latent class analysis (LCA) was conducted to identify multimorbidity patterns with clinical meaningfulness. Multinomial logistic models were used to determine the adjusted association between multimorbidity patterns and incident disability and recovery of independence. Results we identified four multimorbidity patterns: ‘low morbidity’ (67.91% of the sample), ‘pulmonary–digestive–rheumatic’ (17.28%), ‘cardiovascular–metabolic–neuro’ (10.77%) and ‘high morbidity’ (4.04%). Compared to the ‘low morbidity’ group, ‘high morbidity’ (OR = 2.63, 95% CI = 1.97–3.51), ‘pulmonary–digestive–rheumatic’ (OR = 1.89, 95% CI = 1.63–2.21) and ‘cardiovascular–metabolic–neuro’ pattern (OR = 1.61, 95% CI = 1.31–1.97) had higher odds of incident disability in adjusted multinomial logistic models. The ‘cardiovascular–metabolic–neuro’ (OR = 0.60, 95% CI = 0.44–0.81), ‘high morbidity’ (OR = 0.68, 95% CI = 0.47–0.98) and ‘pulmonary–digestive–rheumatic’ group (OR = 0.75, 95% CI = 0.60–0.95) had lower odds of recovery from disability than the ‘low morbidity’ group. Among people without disability, the ‘cardiovascular–endocrine–neuro’ pattern was associated with the highest 2-year mortality (OR = 2.42, 95% CI = 1.56–3.72). Conclusions multimorbidity is complex and heterogeneous, but our study demonstrates that clinically meaningful patterns can be obtained using LCA. We highlight four multimorbidity patterns with differential effects on incident disability and recovery from disability. These studies suggest that targeted prevention and treatment approaches are needed for people with multimorbidity.

Funder

Foshan Municipal Government

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging,General Medicine

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