Objective: This study verifies whether the open-ended question of the B-IPQ can collect causal attributions of patients with cardiac diseases, define the more frequent causal attributions reported, classify them and describe the relation between the classification of the causes and patientsâ characteristics. Design: A group of 2011 patients with cardiac diseases was recruited during the first week of cardiac rehabilitation. Primary outcome measures: Every participant filled in the B-IPQ and the HADS. The qualitative and quantitative analyses of the text using T-LAB identified the most frequent causal attributions and their co-occurrences. Results: Among the patients, 26% did not recognise any causal attribution. The likelihood that the patients did not provide an answer was increased in older patients, females, patients with lower levels of education and higher levels of depression. Smoking and stress emerged as the most important attributions, followed by genetics, metabolic syndrome, work and nutrition. Four thematic clusters were identified: âwork and stressâ, âmetabolic syndrome and hypertensionâ, âdispleasures and body careâ and âheredity and other related diseasesâ. Conclusions: This study suggests a classification of the causal attributions in patients with cardiac diseases and identifies thematic patterns and unknown attributions. The themes identified can serve as categories for future closed-ended questions
Miglioretti, M., Meroni, C., Baiardo, G., Savioli, G., Velasco, V. (2018). The perceptions of the causes of cardiac diseases: a taxonomy. PSYCHOLOGY & HEALTH, 33(4), 537-554 [10.1080/08870446.2017.1380810].
The perceptions of the causes of cardiac diseases: a taxonomy
MIGLIORETTI, MASSIMO
Primo
;VELASCO, VERONICAUltimo
2018
Abstract
Objective: This study verifies whether the open-ended question of the B-IPQ can collect causal attributions of patients with cardiac diseases, define the more frequent causal attributions reported, classify them and describe the relation between the classification of the causes and patientsâ characteristics. Design: A group of 2011 patients with cardiac diseases was recruited during the first week of cardiac rehabilitation. Primary outcome measures: Every participant filled in the B-IPQ and the HADS. The qualitative and quantitative analyses of the text using T-LAB identified the most frequent causal attributions and their co-occurrences. Results: Among the patients, 26% did not recognise any causal attribution. The likelihood that the patients did not provide an answer was increased in older patients, females, patients with lower levels of education and higher levels of depression. Smoking and stress emerged as the most important attributions, followed by genetics, metabolic syndrome, work and nutrition. Four thematic clusters were identified: âwork and stressâ, âmetabolic syndrome and hypertensionâ, âdispleasures and body careâ and âheredity and other related diseasesâ. Conclusions: This study suggests a classification of the causal attributions in patients with cardiac diseases and identifies thematic patterns and unknown attributions. The themes identified can serve as categories for future closed-ended questionsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.