认知功能和社会支持对部分医疗服务不足农村地区老年男性健康相关生活质量的影响:一项横断面研究

Q4 Nursing
M. Hwang, Hye-Kyung Lee
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引用次数: 0

摘要

目的:本研究旨在确定影响部分医疗服务不足农村地区老年男性健康相关生活质量的因素。方法:研究对象包括182名65岁及以上的老年男性,他们居住在韩国公州市G、I和J Myeon卫生保健中心管辖范围内,这是医疗服务不足的农村地区。数据采集时间为2020年10月31日至11月1日,采用描述性统计、t检验、方差分析、scheff检验、Pearson相关系数、层次线性回归等方法进行分析。结果:被试的认知功能得分平均为24.20±3.29分(满分为30分),社会支持得分平均为17.08±9.40分(满分为60分)。影响因素包括三种慢性疾病(β=-)。50, p<.001),两种慢性疾病(β=-。30, p<.001), 1例慢性疾病(β=-。21日,p <措施);主观健康状况(β=。24日,p <措施);主观健康状况良好(β=。25日,p <措施);认知功能(β=。17日,p = 04);80岁或以上(β=-。16日,p = .006);每天刷牙三次或更多次(β=。14, p= 0.009),解释能力为53.8%。结论:有必要制定慢性病管理和认知功能增强计划,以确定影响部分医疗服务不足地区老年男性健康相关生活质量的因素,从而提高其健康相关生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of cognitive function and social support on health-related quality of life of elderly men in partial medically underserved rural areas: A cross-sectional study
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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