Key result
Resilience and decision-making dimensions like control and social resistance predict QoL in CVD patients.
Why the study?
The study was conducted to identify predictors of quality of life among patients with cardiovascular diseases, specifically evaluating the roles of decision-making, personality factors, and resilience.
Cross-Sectional (n=168)
No
Psychological factors including resilience, decision-making styles, and personality traits are significant predictors of quality of life in patients with cardiovascular disease.
May support resilience screening in CVD care; hypothesis-generating for decision-making interventions, needing prospective trials.
The purpose of this study was to identify the predictors of quality of life (QoL) among patients with cardiovascular diseases (CVDs). Specifically, this study investigated how decision-making, personality factors, and resilience are related to the QoL of patients with CVDs. 168 patients with CVDs were selected from the Salem district of Tamil Nadu state in India through purposive sampling. Data were collected through a survey. Correlation analysis revealed that physical health, psychological health, and environmental dimensions of QoL were significantly related to extraversion, openness, and conscientiousness factors of personality. Further, multiple regression analysis revealed that resilience and certain dimensions of decision-making such as control and social resistance significantly predicted the QoL of patients with CVDs. This study provides an understanding of individual factors that predicted the QoL of CVDs patients.
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Suryasree et al. (2023) conducted a cross-sectional in Cardiovascular diseases (n=168). Resilience and specific decision-making dimensions, including control and social resistance, significantly predicted the quality of life in patients with cardiovascular diseases.
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