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- Title
General health status in Iranian diabetic patients assessed by short-form-36 questionnaire: a systematic review and meta-analysis.
- Authors
Behzadifar, Masoud; Sohrabi, Rahim; Mohammadibakhsh, Roghayeh; Salemi, Morteza; Moghadam, Sharare Taheri; Taheri Mirghaedm, Masood; Behzadifar, Meysam; Baradaran, Hamid Reza; Bragazzi, Nicola Luigi
- Abstract
Background: Diabetes mellitus is one of the most prevalent diseases worldwide. Diabetes is a chronic disease associated with micro- and macro-vascular complications and deterioration in general health status. Therefore, the aim of this study was to estimate general health status among Iranian diabetic patients through a systematic review and meta-analysis of study utilizing the Short-Form-36 questionnaire. Methods: Searching the EMBASE, PubMed, ISI/Web of Sciences (WOS), MEDLINE via Ovid, PsycoINFO, as well as Iranian databases (MagIran, Iranmedex, and SID) from January 2000 to December 2017. The methodological quality of the studies was evaluated using the "A Cochrane Risk of Bias Assessment Tool: for Non-Randomized Studies of Interventions" (ACROBAT-NRSI). Random-effect model was used and the means were reported with their 95% confidence interval (CI). To evaluate the heterogeneity between studies, I2 test was used. Egger's regression test was used to assess the publication bias. Results: Fourteen studies were retained in the final analysis. The mean general health status using SF-36 in diabetic patients of Iran was 51.9 (95% CI: 48.64 to 53.54). The mean physical component summary was 52.92 [95% CI: 49.46–56.38], while the mean mental component summary was 51.02 [95% CI: 46.87–55.16]. Conclusion: The findings of this study showed that general health status in Iranian diabetic patients is low. Health policymakers should work to improve the health status in these patients and take appropriate interventions.
- Subjects
IRAN; CONFIDENCE intervals; PEOPLE with diabetes; HEALTH status indicators; HEALTH surveys; MEDICAL information storage &; retrieval systems; PSYCHOLOGY information storage &; retrieval systems; HEALTH policy; MEDLINE; MENTAL health; META-analysis; ONLINE information services; QUESTIONNAIRES; REGRESSION analysis; RISK assessment; SYSTEMATIC reviews; PUBLICATION bias
- Publication
BMC Endocrine Disorders, 2018, Vol 18, Issue 1, pN.PAG
- ISSN
1472-6823
- Publication type
Article
- DOI
10.1186/s12902-018-0262-2