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Factors Associated With Multimorbidity Patterns in Older Adults in England: Findings From the English Longitudinal Study of Aging (ELSA)

Lookup NU author(s): Professor Matthew Prina

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Abstract

© The Author(s) 2019. Objective: We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. Method: The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Result: Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Conclusion: Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.

Publication metadata

Author(s): Nguyen H, Chua K-C, Dregan A, Vitoratou S, Bayes-Marin I, Olaya B, Prina AM

Publication type: Article

Publication status: Published

Journal: Journal of Aging and Health

Year: 2020

Volume: 32

Issue: 9

Pages: 1120-1132

Print publication date: 01/10/2020

Online publication date: 01/12/2019

Acceptance date: 02/04/2018

ISSN (print): 0898-2643

ISSN (electronic): 1552-6887

Publisher: SAGE Publications Inc.

URL: https://doi.org/10.1177/0898264319891026

DOI: 10.1177/0898264319891026

PubMed id: 31789063

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