Factors Predicting Health Related Quality of Life in Patients with Peripheral Arterial Disease
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Abstract
This correlational predictive study aimed to investigate the predictive relationships of pain, depression, severity of disease, and social support influencing quality of life. The samples comprised 92 patients with peripheral arterial disease who were treated in a tertiary hospital in Bangkok. Systematic random sampling was used to recruit the samples. Data collection was performed using the questionnaire on demographic data, the Pain Assessment Rating Scale, the Depression Rating Scale, the Social Support Questionnaire and the 36-Item Short Form Survey (SF-36). The CVIs were .86, 1.00, and .95. The Cronbach’s alpha coefficient was .70, .90, and .88. Data were analyzed using stepwise multiple regressions.
The results revealed that the samples had a high level of good health related quality of life ( = 52.93, S.D = 13.94). Depression, pain, and severity of disease could together predict the health related quality of life of patients by 42.50%. The pain could significantly predict the highest health related quality of life of patients with peripheral arterial disease, followed by depression and severity of disease (β = -.393, .313, .188, p-value < .05, respectively). The results suggested that assessing depression and effective pain management were approaches to encouraging patients to achieve a speedy recovery and have a better health related quality of life.
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