Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran
Background: This study aimed at estimating the proportion of diabetes as a risk factor to the attributable burden of cardiovascular diseases in Iran.Methods: Comparative Risk Assessment methodology was used to calculating Potential Impact Fraction (PIF). To calculate PIF, data on the prevalence of n...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2012-08-01
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| Series: | Iranian Journal of Public Health |
| Subjects: | |
| Online Access: | http://journals.tums.ac.ir/upload_files/pdf/_/21668.pdf |
| _version_ | 1818875509605400576 |
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| author | M Karami D Khalili B Eshrati |
| author_facet | M Karami D Khalili B Eshrati |
| author_sort | M Karami |
| collection | DOAJ |
| description | Background: This study aimed at estimating the proportion of diabetes as a risk factor to the attributable burden of cardiovascular diseases in Iran.Methods: Comparative Risk Assessment methodology was used to calculating Potential Impact Fraction (PIF). To calculate PIF, data on the prevalence of newly diagnosed diabetes mellitus (NDM) and known diabetes mellitus (KDM) were obtained from 3rd Iranian surveillance of risk factors of non- communicable diseases and data on corresponding measures of effect were derived from a cohort study. PIF were estimated on both theoretical minimum and feasible minimum risk. Uncertainty for the attributable burden was estimated by Monte Carlo simulation-modeling techniques incorporating sources of uncertainty.Results: According to multivariate- adjusted hazard ratios, by reducing the prevalence of Iranian women with diabetes from 10.05 percent to the feasible minimum risk level i.e. 5 percent, 6.8% (95% uncertainty intervals: 3.5- 9.8) of attributable Disability Adjusted Life Years (DALYs) to CVD are avoidable and the corresponding value for men were 3.1% (95% uncertainty intervals: 1.4- 4.8).Conclusion: Although data on the prevalence of diabetes and corresponding measures of associations were obtained from an updated and country- specific source, but to better priority setting, PIF should be applied to updated and revised burden of CVDs. |
| first_indexed | 2024-12-19T13:27:38Z |
| format | Article |
| id | doaj.art-6882f09fbc684e23963cde87c297a503 |
| institution | Directory Open Access Journal |
| issn | 2251-6085 |
| language | English |
| last_indexed | 2024-12-19T13:27:38Z |
| publishDate | 2012-08-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Public Health |
| spelling | doaj.art-6882f09fbc684e23963cde87c297a5032022-12-21T20:19:30ZengTehran University of Medical SciencesIranian Journal of Public Health2251-60852012-08-014185055Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in IranM KaramiD KhaliliB EshratiBackground: This study aimed at estimating the proportion of diabetes as a risk factor to the attributable burden of cardiovascular diseases in Iran.Methods: Comparative Risk Assessment methodology was used to calculating Potential Impact Fraction (PIF). To calculate PIF, data on the prevalence of newly diagnosed diabetes mellitus (NDM) and known diabetes mellitus (KDM) were obtained from 3rd Iranian surveillance of risk factors of non- communicable diseases and data on corresponding measures of effect were derived from a cohort study. PIF were estimated on both theoretical minimum and feasible minimum risk. Uncertainty for the attributable burden was estimated by Monte Carlo simulation-modeling techniques incorporating sources of uncertainty.Results: According to multivariate- adjusted hazard ratios, by reducing the prevalence of Iranian women with diabetes from 10.05 percent to the feasible minimum risk level i.e. 5 percent, 6.8% (95% uncertainty intervals: 3.5- 9.8) of attributable Disability Adjusted Life Years (DALYs) to CVD are avoidable and the corresponding value for men were 3.1% (95% uncertainty intervals: 1.4- 4.8).Conclusion: Although data on the prevalence of diabetes and corresponding measures of associations were obtained from an updated and country- specific source, but to better priority setting, PIF should be applied to updated and revised burden of CVDs.http://journals.tums.ac.ir/upload_files/pdf/_/21668.pdfCardiovascular DiseasesDiabetesPotential Impact FractionBurdenIran |
| spellingShingle | M Karami D Khalili B Eshrati Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran Iranian Journal of Public Health Cardiovascular Diseases Diabetes Potential Impact Fraction Burden Iran |
| title | Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran |
| title_full | Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran |
| title_fullStr | Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran |
| title_full_unstemmed | Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran |
| title_short | Estimating the Proportion of Diabetes to the Attributable Burden of Cardiovascular Diseases in Iran |
| title_sort | estimating the proportion of diabetes to the attributable burden of cardiovascular diseases in iran |
| topic | Cardiovascular Diseases Diabetes Potential Impact Fraction Burden Iran |
| url | http://journals.tums.ac.ir/upload_files/pdf/_/21668.pdf |
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