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The Prediction of Subjective Well-being Based on Meaning of Life and Mindfulness among Cardiovascular Patients

Year: 2018
Type: article
Study design: Observational Study
Abstract: Introduction:The subjective well-being of cardiovascular patients is one of the most important issues in mental health.It is necessary to consider factors, such as mindfulness and meaning of life that could play an important role in increasing well-being.The present study aimed at predicting subjective well-being based on meaning of life and mindfulness among cardiovascular patients.Methods: This correlational study was conducted on 152 patients (69 females and 83 males) with cardiovascular diseases during year 2016, using available sampling methods.The data collection tools included three valid and reliable scales: Molavi's subjective well-being, Stager's meaning in life, and Baer's mindfulness.Data were analyzed using Pearson's correlation coefficient and regression analysis with significance level of P < 0.05.Results: The results showed that there was a significant positive correlation between "search of meaning" and subjective well-being (P < 0.001).In the same way, a relationship was also found among components of "focus and attention of awareness" and subjective well-being (r = 0.20, P < 0.001) and "Non-judgement of internal experiences" (r = 0.18, P < 0.001).Finally, the results of regression analysis showed that "search of meaning" (β = 0.17, P < 0.001), "focus and attention of awareness" (β = 0.19, P < 0.001), and "non-judgement of internal experiences" (β = 0.21, P < 0.001) were the predictors of subjective well-being of patients.Conclusions: According to the findings of this study, cardiovascular patients, who seek a meaning of life, have focus and attention of awareness, and show non-judgement of internal experiences, experience more subjective well-being.Therefore, training and application of positive self-care approaches for these people are recommended.
Language: English
Field: Psychology
Open Access status: diamond
OpenAlex ID: W2785963887
FWCI: 1.662
Cites: 27
Cited by: 10
Related to: 10