Purpose: This study aimed to identify factors influencing the health-related quality of life of elderly men in partial medically underserved rural areas. Methods: The subjects included 182 elderly men aged 65 or older living in the jurisdictions of the Health Care Centers in G, I, and J Myeon, which were medically underserved rural areas in Gongju City, South Korea. Data were collected on October 31 to November 1, 2020, and were analyzed with descriptive statistics, t-test, ANOVA, Scheffé test, Pearson’s correlation coefficient, and hierarchical linear regression. Results: The subjects’ scored mean 24.20±3.29 points out of 30 in cognitive functions and mean 17.08±9.40 out of 60 in social support. The influential factors included three chronic diseases (β=-.50, p<.001), two chronic diseases (β=-.30, p<.001), one chronic disease (β=-.21, p<.001); fair subjective health status (β=.24, p<.001); good subjective health status (β=.25, p<.001); cognitive functions (β=.17, p=.004); aged 80 or older (β=-.16, p=.006); and brushing teeth three times per day or more (β=.14, p=.009) with an explanatory power of 53.8%. Conclusion: It is necessary to develop chronic disease management and cognitive function enhancement programs to identify factors influencing the health-related quality of life of elderly men in partial medically underserved rural areas and thus improve their health-related quality of life.

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Purpose : This study was conducted to investigate the functions of daily living, physical and cognitive functions, and functional recovery training services of elderly residents in long-term care facilities. Method : We sent surveys to representatives of the facilities and analyzed the data for 73 care facilities that we received via email. Each facility has selected one resident for each of the eight groups. The functions of daily living, cognitive function and physical function, and functional recovery training service providers of 453 selected residents were recorded on a checklist based on the past week. Results : The degree of assistance for activities such as bathing and shampoo increased proportionally from Group 1 to 8 in the eight categorized groups. The proportion of cognitive and physical impairments also increased. The analysis of the average time and frequency of functional recovery training conducted by residents in Group 1 to 8 over a one-week period revealed that the average time of physical activity training was 9.56 minutes with 3.34 sessions, movement and walking training had an average of 6 minutes with 4 sessions, and activities of daily life training had an average of 12.04 minutes with 4 sessions. Conclusion : The average time and frequency of functional recovery training conducted for the residents can be utilized for the development of standardized guidelines for functional recovery training. There is a need for activity-centered functional recovery training in conjunction with the daily activities of the residents.