Research in Community and Public Health Nursing

Original Articles

[English] Multilevel Analysis of Factors Associated with Perceived Good Health and Multimorbidity among Older Adults: Using the 2017 Community Health Survey: Sun Joo Boo, Young Ran Han, Hye Young Choi; J Korean Acad Community Health Nurs. 2020;31(Suppl):549-562. Published online December 31, 2020; DOI: https://doi.org/10.12799/jkachn.2020.31.S.549

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Abstract PDF: Purpose
This study aimed to identify individual- and regional-level factors associated with perceived good health and multimorbidity among older adults.
Methods
Secondary analysis of the 2017 Korea Community Health Survey was conducted on a sample of 67,532 older adults. The individual level data set was combined with regional-level factors from the administrative data released on the Korea National Statistical Office website. Distribution of perceived good health and multimorbidity in 254 public health centers were calculated using sampling weights and presented as percentages. Multilevel logistic regression analyses were used to identify individual- and regional-level factors associated with perceived good health and multimorbidity.
Results
Overall, 21.1% of subjects perceived their health to be good, ranging from 9.3% to 39.4% by region. The prevalence of multimorbidity was 15.9%, and varied between 6.6% and 22.6% by region. At the individual level, perceived good health was associated with men, younger age, higher educational levels, higher income levels, and those married and living with a partner and maintaining a healthy lifestyle. At the regional level, higher rates of health center personnel among public officials and higher levels of financial independence were associated with perceived good health. Multimorbidity was associated with marital status and healthy lifestyle, and higher rates of health center personnel among public officials.
Conclusion
Regional factors such as health care personnel and local economy could affect population health. Our findings suggest the need to consider individual- and regional-level factors to promote good health among older adults and reduce the health gap by region.

[English] Factors Influencing Health-related Quality of Life of Young Adults and Elderly with Multimorbiditiy: A Secondary Analysis of the 2013 Korea Health Panel Data: Seun Young Joe, In Sook Lee, Bo Hyun Park; J Korean Acad Community Health Nurs. 2016;27(4):358-369. Published online December 31, 2016; DOI: https://doi.org/10.12799/jkachn.2016.27.4.358

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13 Citations

PURPOSE
This study was to identify health-related quality of life of Korean young adults and elderly with multimorbidity and to examine factors influencing their health-related quality of life.
METHODS
Health-related quality of life was measured by the Korean version of the EQ-5D. Using a descriptive study, the study incorporated a secondary analysis of the Korean version of the EQ-5D data from the 8th wave of the Korea Health Panel Survey in 2013. Selected demographic data and the Korean version of the EQ-5D were analyzed using Ï‡Â²-test, t-test, ANOVA and multiple regression analysis.
RESULTS
Education, drinking, type of health insurance, and number of chronic disease significantly affected the health-related quality of life in the young adults with multimorbidity. Educational level, occupational type, drinking, physical activity, number of chronic disease, unmet healthcare need and the type of multimorbidity significantly affected the health-related quality of life in the elderly with multimorbidity.
CONCLUSION
The factors influencing health-related quality of life were different for young adults versus elderly with multimorbidity. Therefore, there is a need for age-specific health care programs that may improve health-related quality of life of adults with multimorbidity.

Citations

Citations to this article as recorded by

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