Showing 5 results for Hasanzadeh
A Ahmadi, J Hasanzadeh, A Rajaefard,
Volume 4, Issue 2 (20 2008)
Abstract
Background & Objectives: Hypertension is one of the most prevalent and important risk factor of cardio-vascular diseases. The aim of this research was to determine relative factors on hypertension in Kohrang.
Methods: This survey was a population – based case - control study. The study population consisted of 415 patient with hypertension (cases) and 415 controls without any history of cardiovascular and or cerebrovascular diseases & hypertension. A systematic random sampling was used. The chi-square test and conditional logistic regression model was used and the data were analyzed by STATA.
Results: Family history of hypertension, age over 60, no physical activity, bmi≥30 were calculated as risk factors with odds ratio: 2.33 (95% CI 1.58-3.47), 2.01(95% CI 1.24-2.67), 1.8 (95% CI 1.2-2.7), 1.66 (95% CI 1.32-2.07) respectively (p<0.05). Fish consumption, unsaturated fat consumption and literacy were considered as protective factors with an odds ratio: 0.516 (95% CI 0.35-0.69), 0.514 (95% CI 0.36-0.72), 0.28 (95% CI 0.17-0.45) respectively (p<0.01).
Conclusions: The findings of this study highlight to plan appropriate health promotion programmes by health policy makers.
J Hasanzadeh, F Najafi, M Moradinazar,
Volume 11, Issue 1 (Vol 11, No 1 2015)
Abstract
The time series is a collection of observation data that are arranged according to time. The main purpose of setting up a time series is to predict future values. The first step in time series data is graphed. Using graphs can provide general information such as uptrend or downtrend, seasonal patterns, periodic presence, and outliers in time series graphs. After graphing the data, if a good forecast is required, stationary data can be used. Differencing or decomposition methods can be used to make the data stationary. Then, a correlogram can be used to identify the order moving average and autoregressive model. The parameters of the model are examined using T-test. If the parameters are significant and the residue is independence, the predicted values can be evaluated using the mean absolute percentage error.
F Zayeri, M Amini, H Hasanzadeh,
Volume 13, Issue 4 (VOl 13, No.4, Winter 2018)
Abstract
Background and Objectives: Shift work as a pervasive phenomenon in various industrial sectors is one of the most stressful factors in the workplace. Considering the contradictory reports on the relationship of shift work and hypertension, the main objective of the present study was to investigate the relationship between these two variables among petrochemical industry staff of Mahshahr, Iran.
Methods: In this longitudinal study, 3254 petrochemical staff were investigated during 2008-2011. According to work schedule, shift workers were divided into two groups of shift work and day work (1872 day workers and 1382 shift workers). The aim of this research was to assess the effect of shift work on hypertension by adjusting confounding variables such as gender, age, body mass index, and smoking. The data were analyzed using a random-effects logistic regression model.
Results: Of 3254 (3142 males and 112 females) subjects, 37.85% (860 subject) were hypertensive. The random effects model, with controlling covariates, showed no significant relationship between shift work and hypertension (OR=1.04, 95% CI= (0.98, 1.10). Moreover, the variance of the random effects was significant.
Conclusion: Generally, according to the results of this study, shift work is not a significant risk factor for hypertension.
E Ghaderi, M Nasehi, J Hasanzadeh, Ho Barati, Taheri Sh, M Gholami, Mr Bazrafshan, R Taghizadeh Asl , M Shams,
Volume 15, Issue 2 (Vol.15, No.2 2019)
Abstract
Background and Objectives: Social marketing is a method that acts through identifying the needs and demands of the audience and specifying the components of the behavioral market using the results of developmental research. So far, social marketing has not been used to involve the private sector in the tuberculosis (TB) control program. The aim of this study was to design a Public-Private Mix (PPM) program using social marketing.
Methods: This qualitative study was conducted using focused group discussions (FGD) with six different groups, including tuberculosis coordinator physicians, specialists from different fields in the private section, and managers of selected private laboratories and hospitals in Karaj in 2013 and the components of the PPM program were determined according to the results of the qualitative study.
Results: Most of the participants believed that participation of the private sector in the TB program was associated with significant challenges, including the lack of a well-defined process for communicating with the private sector, lack of a suitable platform, lack of appropriate monitoring tools, private sector’s lack of compliance, private sector’s lack of familiarity with national TB program protocols, lack of appropriate incentive and punitive measures, lack of appropriate feedback to the private sector, and monopoly in laboratories.
Conclusion: To run PPM in the TB program, it is necessary to involve laboratories in the program voluntarily. It is also essential to provide an informational and incentive package containing effective and low-volume tutorials; the package should facilitate feedback and promote respect for the private sector.
Sh Hasanzadeh, H Sadeghi Bazargani , M Hashemiparast, M Asghari Jafarabadi ,
Volume 15, Issue 4 (Vol.15, No.4 2020)
Abstract
Background and Objectives: The aim of this study was to determine the predictability of the PLS-SEM model for injuries resulting in hospitalization in motorcyclists using a mediator variable in a case-control study.
Methods: In this case-control study, 300 cases and 156 controls were randomly selected from 150 clusters using random cluster sampling. The data were collected using the motorcycle riding behavior (MRB) questionnaire, adult attention deficit hyperactivity disorder (ADHD) questionnaire (subscales) and a checklist containing motorcycle related variables.
Results: The motorcycle riding behavior, adult ADHD, motorcycling related variables and some demographic variables were found to be the predictors of injury. There were significant positive relationships between injury and motorcycling related variables (B=0.20, P=0.001) and ADHD (B=0.33, P=0.001), between MRB and motorcycling related variables (B=0.51, P=0.001) and ADHD (B=0.52, P=0.001), and between ADHD and motorcycling related variables (B=0.39, P=0.001).
Conclusion: Considering the more accurate results of PLS-SEM, the intervention programs should especially address those who have hyperactive children, those who use the cellphone while riding, and those who ride in dark hours of the night.
