School of Health and Nutrition

Permanent URI for this communityhttps://dspace.tbzmed.ac.ir/handle/123456789/9

The Faculty of Health was established under the name of “Faculty of Health and Nutrition” in 1991 by incorporating the departments of Biochemistry and Nutrition of the Faculty of Pharmacy; Health Department of the Faculty of Medicine; and the department of Disease Control and Environmental Health of the Faculty of Paramedical Sciences. The Faculty of Health was located at the building of the Faculty of Pharmacy, Rehabilitation and Dentistry for several years. In 2001, the faculty was relocated to its main building and formally began its educational activities. The Faculty of Health began its research and educational activities in 2012. The school of Nutrition was firstly established as a department inside the School of Health and Nutrition in 1991 following the merging of the departments of Biochemistry and Nutrition from the school of Pharmacy (1974), the department of Health from the school of Medicine (1953) and the departments of Environmental Health and Disease Control (1987) from the school of Paramedical sciences. The school gained its independency and has started its educational activities with independent staff and facilities and its own educational space and laboratories in 2012.

Browse

Filters

20172

Settings

Author: search.filters.author.Alizadeh, Zahra

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item type: Item ,
    Happiness and its impact on health promoting behaviors in students of Tabriz university of medical sciences
    (Tabriz University of Medical Sciences, School of Health, 2017) Alizadeh, Zahra; Bakhtari Aghdam, Fatemeh; Safaiyan, Abdolrasoul; Health education; Shaghaghi, Abdolreza
    Introduction: Happiness is a concept which has found special importance in the recent years due to its mediator role . Due importance of the issue as an indicator of mental health and its impact on all aspects of life, including academic achievement and adoption of healthy lifestyles among people, this study aimed to determine the state of happiness and its impact on health behaviors among students of different fields at different educational levels of Medical Sciences University of Tabriz. Methods and materials: This study was conducted in descriptive-analytical method which was conducted in order to evaluate happiness and its impacts on health promoting behaviors among students of Tabriz University of Medical Sciences. Statistical population of the study involved all students of Tabriz University of Medical Sciences in 2015 and the research statistical samples also involved part of university students of Tabriz University of Medical Sciences. Sampling method of the study was classified randomized method. Sampling was conducted in randomized method. Total number of the study participants is 387. The research data were collected in this study, by two types of questionnaires. First questioner was Oxford happiness questioner which included 29 items and scoring method was based on the Likert scale between 1-5. The maximum score was 145 and the minimum score was considered 29. The second tool used in the study was Walker et. al health promoting behaviors Profile (Health promotion life style II (HPLP-II developed in 1987, including 52 items, each item in the multiple choice Likert scale score had at least 52 and at the most 208 scores. After completing the questionnaires, data were entered into SPSS 16 software. Descriptive statistic was used to provide qualitative data and independent T-test was used to compare health promoting behaviors and its subcategories and happiness among the tow sexes. One way ANOVA was sued to compare health promoting behaviors and its subcategories and happiness among students of the different departments. simple linear regression was used for predictors of happiness and its health promoting behaviors and subthemes simple and Pearson correlation was used to investigate correlation of subcategories of health promoting behaviors with happiness. P= 05/0> was considered as level of significance. Results: Based on the findings of the study, happiness index was weak and medium in 36/5subjects and 63/5 of the studied students were good and excellent. The average score on the subjects of health promoting behaviors was (61/5 ±0/54). The lowest score was obtained in the area of physical activity. There was a significant relationship among the happiness and health promoting behaviors (0/537) and each of subcategory of it among the studied astudents. The highest relation was seen in and spiritual health growth (0/536) and the lowest relation was seen in the nutrition (0/282). Conclusion: The results of the collected data suggested that some interventions such as promoting physical activity, life skills training, transformation consulting patio to Active and relationships with the families and training them are needed to promote the welfare and behavior of health promotion in the students. Given the correlation between happiness and health promoting behaviors, some solutions such as national, regional and local planning are necessary to promote the students’ level of happiness and enhance health promoting behaviors .
  • Thumbnail Image
    Item type: Item ,
    Emission modeling of air pollutants resulted from Baharan industrial Town, Hamadan
    (Tabriz University of Medical Sciences, School of Health, 2017) Alizadeh, Zahra; Gholampoor, Akbar
    Introduction: Investigation and modeling of air pollution emission resulted from construction and commissioning of small and medium industrial enterprises, like many other projects, can be considered as an appropriate method for determination of projects location and can be helpful to manage the region air quality. The great gap in modeling the emission of air pollutants before constructing the industrial Towns is the lack of sufficient information about the fuel consumption rate per hectare of various industrial groups. Regarding the importance of the evaluation of air pollutants rate before the construction of industrial Towns, the present study is indeed the first attempt seeking to provide a comprehensive and applicable method for estimating the common air pollutants' (CO, NO2, TSP, PM10, SO2) emission rate and dispersion in the industrial Towns’ construction sites (Baharan Industrial town - Hamedan and Phase II (development phase)) by obtaining the fuel consumption rate per hectare of the industrial zone. Results of the present work on the estimation of fuel consumption rate in different industrial groups can be also used for other industrial Towns. Materials and Methods:In order to investigate the fuel consumption rate per hectare of different industrial groups, some questionnaires were developed and, then, completed in 5 under-exploitation industrial groups. These questionnaires investigated the industrial units' information on the type of industrial group, surface area of the industrial unit's manufacturing department, as well as the primary and secondary fuel type and consumption rate. The results derived from these questionnaires were then processed in EXCEL software. The average fuel consumption rate for each industrial unit was different from that of other units; however, in this study, the average fuel consumption rate of different industrial units in each industrial group was used in the relevant calculations. The industrial Towns, in which the questionnaires were completed, and the number of questionnaires completed in each industrial Town were as follows: Rajaei Industrial Town (88 completed questionnaires), and Salimi (106 completed questionnaires), Foreign Investment (72 completed questionnaires) in East Azerbaijan province, Eivanaki Industrial Town (76 completedII questionnaires) in Semnan Province, and phase-I of Baharan Industrial Town (52 completed questionnaires) in Hamadan Province. The air pollutants’ emission rate must be estimated via direct test on exhaust gas at the smoke column output or by transferring the output air sample from stack. However, in this research, due to evaluation of the air pollutants rate before constructing phase-II of Baharan Industrial Town and, consequently, the relevant industrial units, the method proposed by EPA, namely AP-42, was used. The AERMOD method models the stacks at stable status and can be also used to determine the concentration of various pollutants in rural and urban regions, flat and rough regions, surface emission, and at heights from point-volumetric resources. Therefore, it is proposed for simulating the pollutants dispersion in up to 50 km areas. Finally, using ArcGIS software, results of various pollutants’ emission modeling were provided by AERMOD as the pollutants’ emission zoning maps. Results: Results of the questionnaires completed in the studied industrial Towns,in order to estimate the average consumption of various fuels (gas and gasoline) per square meter of different industrial groups, shows the average natural gas consumption rate had the highest and lowest values in the food and non-metallic minerals zones with the consumption rate of 0.023532 (m3/ha.s) and 0.00097 (m3/ha.s), respectively. Furthermore, the food 0.0135 (m3/ha.s) and non-metallic minerals 0.000263 (m3/ha.s)zones had the highest and lowest gasoline consumption rates, respectively. Results of executing the AERMOD model were obtained as the aligned curves of the pollutants' concentration in the receiver network. In the present study, the CO concentration was examined in an average 8-h annual period. According to the findings of AERMOD, the maximum CO concentration was equal to 84 µg/m3 at the geographical coordinates of 3862374.81 and 262792.31, which was less than the standard value (10000 µg/m3) determined for clean air. In the average 24-h annual period, the maximum concentration of SO2, PM10, and TSP at the geographical coordinates of (262792.31 and 3862374.81) was predicted to be equal to 29.3, 1.52, and 2.08 µg/m3, respectively. Furthermore, for CO2 pollutant in the average monthly period and at the geographical coordinates of (262792.31 and 3862374.81), the maximum concentration of 3646 µg/m3 was predicted; however, for NOX at the same geographical coordinates, the maximumIII concentration was predicted to equal 7.05 µg/m3. In the present study, investigation of the maximum concentration of the pollutants at 1-h, 8-h 24- h, monthly, and annual periods during a 1-year course indicated that concentration of the studied pollutants remained below the pre-specified standard level during the 1-year period. Conclusion: Due to the high consumption of natural gas in the Baharan industrial town, nitrogen dioxide will be the main pollutant that will be emitted from this industrial town. The results of air pollutants emission modeling resulted from Bahan Industrial Town showed that the impact of construction and commissioning of this Industrial Town on the region ambient air quality will be negligable.