Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients
Backgrounds & aim: nowadays measuring the quality of life in the health care system is imperative. The purpose of this study was to predict the quality of life according to public health, social support and self-efficacy in patients with cardiovascular disease. Methods: the present descriptive...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Yasuj University Of Medical Sciences
2014-10-01
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| Series: | Armaghane Danesh Bimonthly Journal |
| Subjects: | |
| Online Access: | http://armaghanj.yums.ac.ir/browse.php?a_code=A-10-1-61&slc_lang=en&sid=1 |
| _version_ | 1828375123865894912 |
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| author | M Behnam Moghadam A Behnam Moghadam S Yarian SM Hosseini S Mohammad Hosseini |
| author_facet | M Behnam Moghadam A Behnam Moghadam S Yarian SM Hosseini S Mohammad Hosseini |
| author_sort | M Behnam Moghadam |
| collection | DOAJ |
| description | Backgrounds & aim: nowadays measuring the quality of life in the health care system is imperative. The purpose of this study was to predict the quality of life according to public health, social support and self-efficacy in patients with cardiovascular disease.
Methods: the present descriptive cross-sectional study was performed on 70 individuals with cardiovascular disease referred to medical centers and Yasuj clinics selected by purposeful sampling. The Research instruments included the quality of life scale, general health questionnaire, social support and self-efficacy questionnaire. Data were analyzed by using of Pearson's correlation coefficient and stepwise multiple regression.
Results: The results indicated that a significant relationship was found among the quality of life, self-efficacy, social support and health, public affairs (p<0.001). Multiple regression showed that 76% of the variables under study could be predicted by the study criteria. Furthermore, stepwise regression analysis showed that the percentage of public health variables 69, social support 3 variables and self-efficacy 4 as the criterion variable were predicted the changes distinction.
Conclusion: With the development of social support networks and self-education, health and public affairs, the quality of life in patients with cardiovascular disease could improve. |
| first_indexed | 2024-04-14T07:43:23Z |
| format | Article |
| id | doaj.art-6695a78a9b6b4a6abb798b730594e959 |
| institution | Directory Open Access Journal |
| issn | 1728-6506 1728-6514 |
| language | fas |
| last_indexed | 2024-04-14T07:43:23Z |
| publishDate | 2014-10-01 |
| publisher | Yasuj University Of Medical Sciences |
| record_format | Article |
| series | Armaghane Danesh Bimonthly Journal |
| spelling | doaj.art-6695a78a9b6b4a6abb798b730594e9592022-12-22T02:05:26ZfasYasuj University Of Medical SciencesArmaghane Danesh Bimonthly Journal1728-65061728-65142014-10-01197633642Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular PatientsM Behnam Moghadam0A Behnam Moghadam1S Yarian2SM Hosseini3S Mohammad Hosseini4 Backgrounds & aim: nowadays measuring the quality of life in the health care system is imperative. The purpose of this study was to predict the quality of life according to public health, social support and self-efficacy in patients with cardiovascular disease. Methods: the present descriptive cross-sectional study was performed on 70 individuals with cardiovascular disease referred to medical centers and Yasuj clinics selected by purposeful sampling. The Research instruments included the quality of life scale, general health questionnaire, social support and self-efficacy questionnaire. Data were analyzed by using of Pearson's correlation coefficient and stepwise multiple regression. Results: The results indicated that a significant relationship was found among the quality of life, self-efficacy, social support and health, public affairs (p<0.001). Multiple regression showed that 76% of the variables under study could be predicted by the study criteria. Furthermore, stepwise regression analysis showed that the percentage of public health variables 69, social support 3 variables and self-efficacy 4 as the criterion variable were predicted the changes distinction. Conclusion: With the development of social support networks and self-education, health and public affairs, the quality of life in patients with cardiovascular disease could improve.http://armaghanj.yums.ac.ir/browse.php?a_code=A-10-1-61&slc_lang=en&sid=1Quality of Life Social Support Self-efficacy Cardiovascular Disease |
| spellingShingle | M Behnam Moghadam A Behnam Moghadam S Yarian SM Hosseini S Mohammad Hosseini Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients Armaghane Danesh Bimonthly Journal Quality of Life Social Support Self-efficacy Cardiovascular Disease |
| title | Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients |
| title_full | Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients |
| title_fullStr | Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients |
| title_full_unstemmed | Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients |
| title_short | Predicting the Quality of Life Based on Public Health, Social Support and Self Efficacy in Cardiovascular Patients |
| title_sort | predicting the quality of life based on public health social support and self efficacy in cardiovascular patients |
| topic | Quality of Life Social Support Self-efficacy Cardiovascular Disease |
| url | http://armaghanj.yums.ac.ir/browse.php?a_code=A-10-1-61&slc_lang=en&sid=1 |
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