BMC psychology · 2025
Associations of depressive symptoms and social dysfunction with happiness in adults with cardiovascular disease: a cross-sectional study.
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Babazadeh Towhid, Abolhasani Sakhavat, Chollou Khalil Maleki, Pourrazavi Sara
Аннотация
OBJECTIVE: Focusing on the well-being of individuals with chronic conditions, such as cardiovascular diseases, is vital for enhancing their overall quality of life. Hence, this study examined the associations between selected psychosocial factors-namely self-efficacy, depressive symptoms, and social dysfunction-and happiness among patients with cardiovascular disease.
METHODS: A total of 150 adult cardiovascular patients completed a questionnaire-based survey in 2023. The survey assessed happiness, psychological well-being, general self-efficacy, and demographic variables. Hierarchical linear regression models were used for data analysis, conducted using SPSS version 21.0 software. A significance level of P < 0.05 was considered statistically significant.
RESULTS: In the first step, demographic variables significantly predicted 45.9% of the variance of happiness (p < 0.05). In the second step, after adjusting control variables and dimensions of psychological well-being and general self-efficacy, the explained variance increased to 70.7% of the variance by adding variables (p-value < 0.05). Depressive symptoms (β= -0.316, p-value < 0.05) and social dysfunction (β=-0.204, p-value < 0.05) showed the strongest negative associations with happiness in cardiovascular patients.
CONCLUSIONS: Given the strong negative associations between depressive symptoms, social dysfunction, and happiness, psychosocial interventions focused on reducing depressive symptoms and improving social functioning may be effective in enhancing well-being among individuals with cardiovascular disease. It is recommended to integrate mental health screening and support into routine cardiac care.
METHODS: A total of 150 adult cardiovascular patients completed a questionnaire-based survey in 2023. The survey assessed happiness, psychological well-being, general self-efficacy, and demographic variables. Hierarchical linear regression models were used for data analysis, conducted using SPSS version 21.0 software. A significance level of P < 0.05 was considered statistically significant.
RESULTS: In the first step, demographic variables significantly predicted 45.9% of the variance of happiness (p < 0.05). In the second step, after adjusting control variables and dimensions of psychological well-being and general self-efficacy, the explained variance increased to 70.7% of the variance by adding variables (p-value < 0.05). Depressive symptoms (β= -0.316, p-value < 0.05) and social dysfunction (β=-0.204, p-value < 0.05) showed the strongest negative associations with happiness in cardiovascular patients.
CONCLUSIONS: Given the strong negative associations between depressive symptoms, social dysfunction, and happiness, psychosocial interventions focused on reducing depressive symptoms and improving social functioning may be effective in enhancing well-being among individuals with cardiovascular disease. It is recommended to integrate mental health screening and support into routine cardiac care.