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Factors affecting self-care in elderly patients with hypertension in Korea
1Department of Nursing Science, Chungbuk National University, Cheongju-Si, Chungbuk, Republic of Korea.
Insights
Empowerment, social support, depression, and perceived severity significantly predict self-care in elderly hypertension patients. These factors are crucial for planning effective health intervention strategies.
Area of Science:
- Gerontology
- Cardiovascular Health
- Behavioral Science
Background:
- Chronic illness management, particularly hypertension in the elderly, requires effective self-care strategies.
- Understanding the predictors of self-care is essential for developing targeted interventions in this demographic.
Purpose of the Study:
- To identify key predictors of self-care behavior among elderly patients diagnosed with hypertension.
- To test variables derived from the self-care model in chronic illness and previous studies.
Main Methods:
- A descriptive research design was utilized.
- 306 elderly patients with hypertension were recruited from three public health centers.
- Stepwise regression analysis, correlation analysis, t-tests, and ANOVA were employed to analyze seven variables.
Main Results:
- Four significant predictors of self-care were identified, explaining 57% of the variance.
- Empowerment emerged as the strongest predictor, followed by social support, depression, and perceived severity.
- Seven variables were statistically analyzed, with four proving significant.
Conclusions:
- Assessing predictors like empowerment, social support, depression, and perceived severity is vital for understanding elderly hypertension patients' health behaviors.
- These findings underscore the importance of these factors in planning effective self-care intervention strategies for hypertension management in older adults.
Abstract:
The objective of this study was to test nine variables which derived from the model of self-care in chronic illness and previous studies on elderly patients with hypertension. A descriptive research design was employed in this study. Totally, 306 elderly patients diagnosed with hypertension were selected from three public health centres for the study. The stepwise regression analysis was conducted by analysing predictors of self-care in elderly patients with hypertension. Statistical analyses, including correlation analysis, t-test and analysis of variance tests were conducted for seven variables. The results indicated that only four variables were significant, and the model explained 57% of the variance in self-care. Among these predictors, empowerment was the strongest predictor, followed by social support, depression and perceived severity. These findings demonstrate the significance of assessing predictors of self-care behaviour when examining patients' health behaviours and planning intervention strategies.
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