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Showing 4 results for Population Attributable Fraction

Ss Azimi, D Khalili, F Hadaegh, Y Mehrabi, P Yavari, F Azizi,
Volume 7, Issue 4 (3-2012)
Abstract

Normal 0 false false false EN-US X-NONE AR-SA Background & Objectives: Cardiovascular disease is the first cause of death and third place in disease burden in Iran. This study estimates population attributable fraction (PAF) of cardiovascular risk factors in Tehran population. PAF is one of the important parameters of measuring population affect of risk factors and evaluating potential impact of preventive strategies in community level.
Methods: In this study 5868 participants above 30 years old of Tehran lipid and glucose study (TLGS) were employed and 501 CVD events detected during 10 years follow-up. Direct estimate of adjusted PAFs using logistic regression which is one of less biased exist methods of PAF calculation were applied.
Results: Highest modifiable cardiovascular risk factor PAFs, in sequence, was smoking (14.16%), hypertension (11.73%), diabetes (7.32%), hypercholesterolemia (6.85%) and central obesity (5.91%) for men, and hypertension (19.25%), diabetes (18.82%), central obesity(9.88%) and hypercholesterolemia (7.95%), for women. Also PAF of hazardous age and premature family history of CVD, as most important nonmodifiable CVD risk factors, were 36.09%, 16.61% and 3.95%, 7.56% for men and women respectively.
Conclusion: According to the difference of risk factors PAFs ranking in men and women, it is suitable that CVD preventive interventions to be prioritized by sex separately. In this regard, besides special attention to control tobacco use in men, hypertension and diabetes in both sexes and high cholesterol in men and central obesity in women respectively, should be given in priority of preventive strategies.


M Qorbani, M Yunesian,
Volume 8, Issue 1 (7-2012)
Abstract

Background & Objectives: Some case-report studies in Iran showed probable association between anthracosis and smoke exposure due to baking homemade bread, population. Therefore we estimated the population attributable fraction (PAF) for this probable association in Iranian population.
Methods: A hospital-based case-control study, including 83 anthracotic subjects (cases) with 72 controls from surgical ward which were matched by age, conducted in Imam Khomeini hospital in Tehran (From September 2009 to December 2010). Patients in both case and control groups were interviewed according to "American Thoracic Society" guideline. Exposure to smoke was considered both as a binary and continuous variable (number of years being exposed to smoke) and the population attributable fraction (PAF) were estimated due to smoke exposure.
Results: Univariate analysis showed that exposure to smoke as binary variables, age and occupation exposure to dust and education were associated with anthracosis. After Adjusting, only smoke exposure (OR: 3.35, 95% CI: 1.49-7.55) remain significant. Univariate logistic regression model showed exposure to smoke as continuous variable has significant association with anthracosis. In multiple logistic  model only duration (years) of smoke exposure remained significant (OR: 1.05, 95%CI: 1.01-1.09). PAF due to smoke exposure estimated approximately 48% in our population.
Conclusion: Based on the findings of this study, it could be concluded that approximately half of the anthracotic cases are attributed to smoke exposure.

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A Biderafsh, M Karami, J Faradmal, J Poorolajal, N Esmailnasab,
Volume 10, Issue 3 (12-2014)
Abstract

  Background & Objectives : Considering the high prevalence of hypertension and its increasing trend in Iran as the most important known modifiable risk factor of stroke, this study was performed to determine the pattern of hypertension and the related population attributable fraction (PAF) of stroke in Hamadan Province.

  Methods: Blood pressure data of over-19-year-old population of Hamadan Province from 2005 to 2009 was extracted from the non-communicable diseases risk factors surveillance system . The point prevalence and 95% confidence interval (95% CI) of hypertension was reported in the study population according to sex and age groups. The trend of hypertension was depicted using a line plot. To calculate PAF, the data of the prevalence of hypertension in 2009 was used. Corresponding hazard ratio was obtained from the available literature.

  Results : The prevalence of hypertension was 9.4 (8.2 – 10.6) in 2005, 7.5 (5.9 – 9.3) in 2006, 14.2
(12.1 – 16.5) in 2007, 13.8 (11.7 – 16.1) in 2008, and 12.2 (10.3- 14.5) in 2009. The mean and standard deviation of systolic blood pressure was 120.88 (19.73) and 124.19 (19.24) in the participants in 2005 and 2009, respectively. The study results showed that 19.84% of the strokes in Hamadan Province were due to hypertension .

  Conclusion: The results of this study confirmed the considerable contribution of hypertension to stroke in Hamadan Province. Accordingly, policy makers are strongly recommended to consider controlling and preventive strategies for hypertension as a priority .


P Shiri, H Soori, A Razzaghi,
Volume 14, Issue 3 (12-2018)
Abstract

Background and Objectives: Human errors are the most important factors for RTIs, which have been addressed in few quantitative studies. The objective of this study was to calculate the annual population attributable fraction (PAF) of the most important human risk factor for RTIs in the streets and highways of the Great Tehran.
 
Methods: In this study, the data of 124518 individuals registered in the COM114 form of the Police Information and Communication Technology (ICT- FAVA) data system of the country were employed in 2014. A regression model was applied to estimate the magnitude of the impact of traffic violations of drivers with RTIs using the adjusted relative risk ratio. To estimate the PAF, the prevalence and effect size were calculated based on the risk ratio (RR) using the baseline method or the Miettinen formula.
 
Results: The PAF of driving in reverse gear and failure to observe safe distance was 1.98% and 1.93%, respectively. Driving in the reverse gear and failure to observe the safe distance increased RTIs by 22% and 23%, respectively. On the highways of the Great Tehran, the largest proportion of PAF was related to driving in reverse gear (1.96%), sudden movement of the car (1.90%), speeding (1.87%). Speeding increased the risk of RTIs by 23%.
 
Conclusion: Monitoring traffic violations can decrease road crashes by 10% in the streets. Moreover, on highways, use of strategies to prevent traffic violations can decrease RTIs by up to 15%.

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