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Similarities and differences in health-related behavior clustering among older adults in Eastern and Western countries: A latent class analysis of global aging cohorts

Liao, J; Mawditt, C; Scholes, S; Lu, W; Umeda, M; Muniz Terrera, G; Hao, Y; (2019) Similarities and differences in health-related behavior clustering among older adults in Eastern and Western countries: A latent class analysis of global aging cohorts. Geriatrics & Gerontology International , 19 (9) pp. 930-937. 10.1111/ggi.13737. Green open access

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Abstract

Aim: To quantify variations in health‐related behaviors (HRB) clustering of older adults in Western and Eastern countries. / Methods: Using six aging cohorts from the USA, England, Europe, Japan, Korea and China, latent class analysis was applied to access the clustering of smoking, alcohol consumption, physical activity and social activity. / Results: A total of 104 552 participants (55% women) aged ≥50 years in 2010 were included. Despite a different number of clusters identified, three consistent cluster profiles emerged: “Multiple‐HRB” (ex‐/never smoking, moderate drinking, frequent physical and social activity); “Inactives” (socially and physically inactive without other risk behaviors); and “(ex‐)Smokers with Risk Behaviors”. Sex and cohort variations were shown. For men in Western cohorts, “Multiple‐HRB” was the predominant cluster, whereas their Asian counterparts were more likely to be members of the “Smokers with risk behavior” and “Inactives” clusters. Most women, particularly those in Asian cohorts, were never smokers and non‐drinkers, and most of them belonged to the socially “Inactives” cluster. / Conclusions: We provide a person‐centered understanding of HRB clustering of older adults over selected countries by sex, informing tailored health promotion for the target population.

Type: Article
Title: Similarities and differences in health-related behavior clustering among older adults in Eastern and Western countries: A latent class analysis of global aging cohorts
Location: Japan
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/ggi.13737
Publisher version: https://doi.org/10.1111/ggi.13737
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: clustering, health-related behaviors, latent class analysis, multiple risk factors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery.ucl.ac.uk/id/eprint/10079200
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