The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The burden of disease and injury in Iran 2003
Open accessAbstract
Background: The objective of this study was to estimate the burden of disease and injury in Iran for the year 2003, using Disability-Adjusted Life Years (DALYs) at the national level and for six selected provinces. Methods: Methods developed by the World Health Organization for National Burden of Disease (NBD) studies were applied to estimate disease and injury incidence for the calculation of Years of Life Lost due to premature mortality (YLL), Years Lived with Disability (YLD), and DALYs. The following adjustments of the NBD methodology were made in this study: a revised list with 213 disease and injury causes, development of new and more specific disease modeling templates for cancers and injuries, and adjustment for dependent comorbidity. We compared the results with World Health Organization (WHO) estimates for Eastern Mediterranean Region, sub-region B in 2002. Results: We estimated that in the year 2003, there were 21,572 DALYs due to all diseases and injuries per 100,000 Iranian people of all ages and both sexes. From this total number of DALYs, 62% were due to disability premature deaths (YLD) and 38% were due to premature deaths (YLL); 58% were due to noncommunicable diseases, 28% – to injuries, and 14% – to communicable, maternal, perinatal, and nutritional conditions. Fifty-three percent of the total number of 14.349 million DALYs in Iran were in males, with 36.5% of the total due to intentional and unintentional injuries, 15% due to mental and behavioral disorders, and 10% due to circulatory system diseases; and 47% of DALYs were in females, with 18% of the total due to mental and behavioral disorders, 18% due to intentional and unintentional injuries, and 12% due to circulatory system diseases. The disease and injury causes leading to the highest number of DALYs in males were road traffic accidents (1.071 million), natural disasters (548 thousand), opioid use (510 thousand), and ischemic heart disease (434 thousand). The leading causes of DALYs in females were ischemic heart disease (438 thousand), major depressive disorder (420 thousand), natural disasters (419 thousand), and road traffic accidents (235 thousand). The burden of disease at the province level showed marked variability. DALY estimates by Iran's NBD study were higher than those for EMR-B by WHO. Conclusion: The health and disease profile in Iran has made the transition from the dominance of communicable diseases to that of noncommunicable diseases and road traffic injuries. NBD results are to be used in health program planning, research, and resource allocation and generation policies and practices.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1996) · Cited by 6,884
Global Burden of Disease and Risk Factors
(2006) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-6262-4 · Cited by 2,605
International statistical classification of diseases and related health problems. Tenth revision.
Brämer, G. R. (1988) · PubMed · Cited by 1,492
Gazing into the oracle : the Delphi method and its application to social policy and public health
Ziglio, E., & Adler, M. E. (1996) · Jessica Kingsley Publishers eBooks · Cited by 1,429
Health systems performance assessment: debates, methods and empiricism.
Murray, C. J. L., & EVANS, D. B. (2003) · Cited by 855
A generic model for the assessment of disease epidemiology: the computational basis of DisMod II
Barendregt, J. J., van Oortmarssen, G. J., Vos, T., & Murray, C. J. (2003) · Population Health Metrics · doi:10.1186/1478-7954-1-4 · Cited by 402
An epidemiological survey of psychiatric disorders in Iran.
Mohammadi, M., Davidian, H., Noorbala, A. A., Malekafzali, H., Naghavi, H. R., Pouretemad, H. R., Yazdi, S. A. A., Rahgozar, M., Alaghband‐Rad, J., Amini, H., et al. (2005) · Clinical Practice and Epidemiology in Mental Health · doi:10.1186/1745-0179-1-16 · Cited by 249
Decomposing socioeconomic inequality in infant mortality in Iran
Hosseinpoor, A. R., Van Doorslaer, E., Speybroeck, N., Naghavi, M., Mohammad, K., Majdzadeh, R., Delavar, B., Jamshidi, H., & Vega, J. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyl164 · Cited by 220
Self-citationStouthard, M. (2000) · The European Journal of Public Health · doi:10.1093/eurpub/10.1.24 · Cited by 159
The prevalence and causes of visual impairment in Tehran: the Tehran Eye Study
Fotouhi, A. (2004) · British Journal of Ophthalmology · doi:10.1136/bjo.2003.031153 · Cited by 117
Cited by
Salomon, J. A., Vos, T., Hogan, D. R., Gagnon, M., Naghavi, M., Mokdad, A., Begum, N., Shah, R., Karyana, M., Kosen, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61680-8 · Cited by 1,322
Self-citation
Metadata
- Authors
- Naghavi, M., Abolhassani, F., Pourmalek, F., Moradi Lakeh, M., Jafari, N., Vaseghi, S., Mahdavi Hezaveh, N., & Kazemeini, H.
- Venue
- Population Health Metrics
- Published
- 2009-06-15
- Volume
- 7
- Issue
- 1
- Pages
- 9-9
- ISSN
- 1478-7954 (ISSN-L)
- OpenAlex
- W2009330641
- Cited by
- 358
- References
- 11
- FWCI
- 38.62
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The burden of disease and injury in Iran 2003. https://app.cochat.ai/papers/10.1186/1478-7954-7-9
- The paper
- Naghavi, M., Abolhassani, F., Pourmalek, F., Moradi Lakeh, M., Jafari, N., Vaseghi, S., Mahdavi Hezaveh, N., & Kazemeini, H. (2009). The burden of disease and injury in Iran 2003. Population Health Metrics. https://doi.org/10.1186/1478-7954-7-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.