Factors Predicting Symptom Clusters Among Persons with Chronic Obstructive Pulmonary Disease
Keywords:
Factors Predicting, Symptom clusters, Chronic Obstructive Pulmonary DiseaseAbstract
Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory problems and is presented with symptom clusterings. COPD affects one’s physical, mental, emotional, and social health. The purpose of this study was to explore factors predicting symptom clusters among persons with COPD. These factors included lung function, nutritional status, smoking patterns, perceived self-efficacy, and perceived social support. A sample of 152 adults with COPD aged 45-65 years old were recruited from Chiangrai Prachanukroh Hospital and Maechan Hospital. Research instruments used for data collection consisted of a Demographic Data Recording Form, Symptom Cluster Questionnaire, Perceived Self-Efficacy Questionnaire, and Perceived Social Support Questionnaire. Content validity of all instruments was judged by a panel of experts. The Cronbach’s alpha reliability of the questionnaires were 0.82, 0.93, and 0.86 respectively. Data were analyzed using descriptive statistics and multiple regression.
The result revealed that:
Factors that were statistically significant correlated with symptom clusters that showed a moderate level of perceived social support (r=.35, p<.01), nutritional status (underweight) (r=.28, p<.01), moderate level of perceived self-efficacy (r=.20, p<.05) and low level of perceived self-efficacy (r=.18, p<.05) Factors that predicted symptom clusters were; nutritional status (underweight), low and moderate level of perceived self-efficacy and moderate level of perceived social support. These factors accounted for 26 % (p<.001) of symptom clusters among persons with COPD. The results from the study provide data for nurses in improving the care of COPD patients by promoting nutritional status in the patients who are underweight, as well as enhancing self-efficacy and social support in order to decrease the perception of symptom clusters.
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