Evaluating causes of death and morbidity in Iran, global burden of diseases, injuries, and risk factors study 2010.
Bibliographic record
Abstract
BACKGROUND: we aimed to recap and highlight the major results of the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 by mortality and morbidity to clarify the current health priorities and challenges in Iran. METHODS: We estimated Iran's mortality and burden of 289 diseases with 67 risk factors and 1160 sequelae, which were used to clinically present each disease and its disability or cause of death. We produced several measures to report health loss and status: all-cause mortality, cause-specific mortality, years of life lost due to death (YLL), healthy years of life lost due to disability (YLD), disability-adjusted life years (DALYs), life expectancy, and healthy life expectancy, for three time periods: 1990, 2005, and 2010. RESULTS: We found out that life expectancy at birth was 71.6 years in men and 77.8 years in women. Almost 350 thousand deaths occurred in both sexes and all age groups in 2010. In both males and females and all age groups, ischemic heart disease was the main cause of death, claiming about 90 thousand lives. The main contributors to DALYs were: ischemic heart disease (9.1%), low back pain (9.0%), road injuries (7.3%), and unipolar depressive disorders (6.3%). The main causes of death under 5 years of age included: congenital anomalies (22.4%), preterm birth complications (18.3%), and other neonatal disorders (13.5%). The main causes of death among 15 - 49 year olds in both sexes included: injuries (23.6%) and ischemic heart disease (12.7%) The highest rates of YLDs were observed among 70+ year olds for both sexes (27,365 per 100,000), mainly due to low back pain, osteoarthritis, diabetes, falls, and major depressive disorder. The main risk factors to which deaths were attributable among children under 5 years included: suboptimal breast feeding, ambient PM pollution, tobacco smoking, and underweight. The most important risk factors among 15 to 49 year olds were: dietary risks, high blood pressure, high body mass index, physical inactivity, smoking, and ambient PM pollution. The pattern was similar among 50+ year olds. CONCLUSION: Although non-communicable diseases had the greatest burden in 2010, the challenge of communicable and maternal diseases for health system is not over yet. Diet and physiological risk factors appear to be the most important targets for public health policy in Iran. Moreover, Iranians would greatly benefit from effective strategies to prevent injury and musculoskeletal disorders and expand mental care. Persistent improvement is possible by strengthening the health information system to monitor the population health and evaluate current programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".