Factors Predicting Depression among Post-Acute Myocardial Infarction Patients
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Abstract
The objective of this predictive correlational research was to identity factors predicting depression among post-acute myocardial infarction patients. A total of 202 patients with post-acute myocardial infarction patients met inclusion criteria were consecutively recruited from cardiovascular outpatient department in tertiary hospital. Data were collected using questionnaires: 1) Demographic data form, 2) Fear, 3) Social support, 4) Uncertainty in illness, and 5) Depression. All questionnaires were validated by 5 experts. Their CVI were 0.83, 1.0, 0.86, and 0.92, respectively. The Cronbach’s alpha coefficients for reliability test were 0.89, 0.84, 0.85, and 0.81, respectively. Data were analyzed using multiple regression statistics.
The results were as follows: 1) Post-acute myocardial infarction patients had the moderate depression. ( = 90.79, SD = 18.89) 2) Two variables were significant predictor of depression among post-acute myocardial infarction patients. They were fear (Beta = .617) and social support (Beta = -.294). They could explain 73.30% of depression among post-acute myocardial infarction patients (p < .05). However, education and uncertainty in illness were not able to predict of depression among post-acute myocardial infarction patients. Therefore, nurses should assess fear and social support of the patients, as well as, develop fear management and social support program in order to prevent depression in post-acute myocardial infarction patients.
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