Predictors of Self-care among the Elderly with Diabetes Type 2: Using Social Cognitive Theory. Issue 3 (July 2017)
- Record Type:
- Journal Article
- Title:
- Predictors of Self-care among the Elderly with Diabetes Type 2: Using Social Cognitive Theory. Issue 3 (July 2017)
- Main Title:
- Predictors of Self-care among the Elderly with Diabetes Type 2: Using Social Cognitive Theory
- Authors:
- Borhaninejad, Vahidreza
Iranpour, Abedin
Shati, Mohsen
Tahami, Ahmad Naghibzadeh
Yousefzadeh, Gholamrezan
Fadayevatan, Reza - Abstract:
- Abstract: Introduction: Diabetes is one of the most common chronic diseases among the elderly and is also a very serious health problem. Adopting theory-based self-care behaviors is an effective means in managing such diseases. This study aimed to determine the predictors of diabetes self-care in the elderly in Kerman based on a social cognitive theory. Material and methods: In this cross-sectional study, 384 elderly diabetic patients who had referred to health screening centers in Kerman were chosen via cluster sampling. To collect information about self-care and its predictors, Toobert Glasgow's diabetes self-efficacy scale as well as a questionnaire was used which was based on social cognitive theory constructs. The validity and reliability of the questionnaire was confirmed. The data were analyzed using Pearson correlation and linear regression analysis in SPSS software 17. Findings: Among the subjects, 67.37% (252) had poor self-care ability; 29.14% (109) had average ability, and 3.40% (13) enjoyed a proper level of self- care ability. There was a significant relationship between the constructs of the social cognitive theory (knowledge, self- efficacy, social support, outcome expectations, outcome expectancy and self-regulation) and the self-care score. Furthermore, the mentioned constructs could predict 0.47% of the variance of the self-care behaviors. Conclusion: self-care behaviors in this study were poor. Therefore, it is necessary to develop an educationalAbstract: Introduction: Diabetes is one of the most common chronic diseases among the elderly and is also a very serious health problem. Adopting theory-based self-care behaviors is an effective means in managing such diseases. This study aimed to determine the predictors of diabetes self-care in the elderly in Kerman based on a social cognitive theory. Material and methods: In this cross-sectional study, 384 elderly diabetic patients who had referred to health screening centers in Kerman were chosen via cluster sampling. To collect information about self-care and its predictors, Toobert Glasgow's diabetes self-efficacy scale as well as a questionnaire was used which was based on social cognitive theory constructs. The validity and reliability of the questionnaire was confirmed. The data were analyzed using Pearson correlation and linear regression analysis in SPSS software 17. Findings: Among the subjects, 67.37% (252) had poor self-care ability; 29.14% (109) had average ability, and 3.40% (13) enjoyed a proper level of self- care ability. There was a significant relationship between the constructs of the social cognitive theory (knowledge, self- efficacy, social support, outcome expectations, outcome expectancy and self-regulation) and the self-care score. Furthermore, the mentioned constructs could predict 0.47% of the variance of the self-care behaviors. Conclusion: self-care behaviors in this study were poor. Therefore, it is necessary to develop an educational intervention based on cognitive theory constructs with the goal of properly managing diabetes in the elderly patients. … (more)
- Is Part Of:
- Diabetes & metabolic syndrome. Volume 11:Issue 3(2017)
- Journal:
- Diabetes & metabolic syndrome
- Issue:
- Volume 11:Issue 3(2017)
- Issue Display:
- Volume 11, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 11
- Issue:
- 3
- Issue Sort Value:
- 2017-0011-0003-0000
- Page Start:
- 163
- Page End:
- 166
- Publication Date:
- 2017-07
- Subjects:
- T2 diabetes -- Aged -- Self- care -- Social cognitive theory
Diabetes -- Periodicals
Metabolism -- Disorders -- Periodicals
Diabetes Mellitus -- Periodicals
Metabolic Diseases -- Periodicals
Diabète -- Périodiques
Métabolisme, Troubles du -- Périodiques
Endocrinologie -- Périodiques
Diabète -- Physiopathologie -- Périodiques
Diabetes
Metabolism -- Disorders
Electronic journals
Periodicals
616.462 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/18714021 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/18714021 ↗
http://www.sciencedirect.com/science/journal/18714021 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.dsx.2016.08.017 ↗
- Languages:
- English
- ISSNs:
- 1871-4021
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- Legaldeposit
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