Emergency hospital admissions for cardiovascular diseases attributed to air pollution in Tehran during 2016-2019
In: Environmental science and pollution research: ESPR, Band 28, Heft 28, S. 38426-38433
ISSN: 1614-7499
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In: Environmental science and pollution research: ESPR, Band 28, Heft 28, S. 38426-38433
ISSN: 1614-7499
Objective. Cancers are one of the most important public health problems in Iran. Because of the importance of cancers, the purpose of the current study was to the prediction of the future incidence of the most common cancers among Iranian military community (MC) by using the time series analysis during 2007 to 2019.Methods. In the current cross-sectional study, all registered cancers among Iranian MC entered the study. To select the best model of prediction, various methods including autocorrelation function (ACF), partial autocorrelation function (PACF), and Akaike information criterion (AIC) statistics were used. All analysis was performed by using ITSM, stata14, and Excel2010 software.Results. The most prevalent cancers among Iranian MC were breast, prostate, and colon cancers respectively. The time series analysis was shown that the trend of all mentioned cancers in Iranian MC will increase in the coming years.Conclusion. the trend of most prevalent cancers among Iranian MC was increasing but the different factors like the growth of population size and improving the registration system
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In: Romanian Journal of Military Medicine, Band 123, Heft 3, S. 160-165
ISSN: 2501-2312
Purpose: Cancers are one of the main causes of mortality in the world. The incidence of cancers in the world and mainly in developing countries is increasing. Due to the importance of this issue, the purpose of the current study was to assess the trend of incidence and death of Bladder Cancer among Iranian Military Community (MC) from 2007 to 2019. Methods: This is a cross-sectional study using time series data. All registered bladder cancer in Iranian Military community from March 2007 to February 2017 entered in this study. The future trend predicted using ARIMA (p,d,q) model. All analyzes were performed using ITSM and Excel (2010) software. Results: According to ARIMA (2, 2, 1) model, the bladder cancer among the Iranian military community had an increasing trend. The AR (12, 2, 0) model showed an increasing trend of this cancer among males but it seems the trend of bladder cancer among females will have a constant trend AR (12, 2, 1). The death due to bladder cancer was showed a decreasing trend using AR (14, 2, 1) model. Conclusion: In spite of decreasing trend in death due to bladder cancer, the trend of incidence of the Bladder cancer among the Iranian Military Community was increasing. However, it is necessary to adjust the effect of many factors that may have an important role in this trend.
In: Social psychiatry and psychiatric epidemiology: SPPE ; the international journal for research in social and genetic epidemiology and mental health services, Band 59, Heft 7, S. 1113-1127
ISSN: 1433-9285
In: Romanian Journal of Military Medicine, Band 125, Heft 2, S. 318-324
ISSN: 2501-2312
"Introduction: diabetes mellitus (DM) is one of the most prevalent non-communicable diseases. Spatio-temporal study of DM has a main in the design of disease prevention programs. The present study aimed to describe the spatio-temporal distribution of diabetic patients in the Iranian military community. Methods: In this ecological study, all registered cases of DM in the Iranian military community (military officers and enrolled conscripts) were considered during the period 2015-2019. Getis-Ord Gi statistics was applied to identify the DM hotspots. Spearman Correlation Coefficient was used to perform trend analysis of the disease. Results: The number of DM incident cases in the military officers and enrolled conscripts was 1135 and 85, respectively. Isfahan (n=153) and Tehran (n=67) for the military officers and Zanjan (n=17) and Kurdistan (n=10) for the enrolled conscripts were the provinces with the highest number of identified DM cases. In the study period, no significant hotspots were detected in the military officers; However, an increasing trend of DM was observed (CC= 0.935, p 0.001). The DM hotspots detected in enrolled conscripts were as follows: 2015 – Qom (95% CI); 2016 – Lorestan, Qazvin, and Guilan (90% CI); 2017 – Ilam, Hamadan, and Markazi (90% CI); and 2018 – Ilam (95% CI), Alborz, Qom, Markazi, Lorestan, Kermanshah (90% CI), and no significant trend was noticed nonetheless (CC=-0.160, p=0.555). Conclusion: It appeared that Northern and North-Western Iran were high-risk areas for DM in the military population and should be considered in designing the diabetes prevention and control program. Moreover, the determination of DM risk factors in the aforementioned areas could play a crucial role in the prevention of the disease. "