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Open Access Latent Growth Model of Predictors of Health Status in Korean Older Adults

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This article is Open Access under the terms of the Creative Commons CC BY-NC-ND licence.

Objectives: In this study, we investigated the health status trajectory of Korean older adults with chronic diseases and its relationship with relevant ecological level factors. Methods: We analyzed data from the 2013 to 2015 Korea Health Panel Survey using the latent growth model. Results: Results showed that Korean older adults' health status decreased over time. Relevant ecological level factors affecting older adults' health status directly or indirectly included alcohol problems, caregiver burden, and healthcare cost burdens. The higher the initial health status was found to be, the higher the initial alcohol problem and initial caregiver burden. The higher the initial caregiver burden was found to be, the higher the initial alcohol problem and initial healthcare cost burden. Conclusions: To improve the health status of older adults with chronic diseases, interventions and health policies to reduce alcohol problem, caregiver burden, and healthcare cost burden should be developed and implemented.
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Document Type: Research Article

Affiliations: 1: Ki Sook Ko, Associate Professor, Department of Social Welfare, Baekseok University, Cheonan, South Korea 2: Hee Yun Lee, Professor, Endowed Academic Chair on Social Work (Health), and Associate Dean for Research, School of Social Work, The University of Alabama, Tuscaloosa, AL;, Email: [email protected] 3: Cho Rong Won, Doctoral Student, School of Social Work, The University of Alabama, Tuscaloosa, AL

Publication date: May 1, 2020

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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