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Showing 3 results for Honarvar

Alireza Heydari, Mohammad Javad Kabir, Ashrafi Babazadeh Gashti, Nahid Jafari, Mansoureh Lotfi, Mohammad Aryaei, Mohammad Reza Honarvar, Mohammad Ali Pourabasi, Maryam Iri,
Volume 2, Issue 2 (10-2014)
Abstract

Background & Objective: Job satisfaction Increases individual efficiency and commitment to the organization, ensuring the physical and mental health, life satisfaction and accelerate the learning of new skills on the job. The aim of this study was to determine the status of health professionals› satisfaction in the Golestan province. Method: In this cross- sectional study, 1,275 health workers of Health centers in the Golestan province in the year 1391 were participated using the census method. Data was collected using Herzberg job satisfaction questionnaire. The data were analyzed using SPSS software, ANOVA and t-Test at the significant level of 0.05. Results: Job satisfaction in terms of staff maintenance and support and given the potential and experience of individuals in granting liability were at dissatisfied level, In terms of corporate communications, career development, salary and benefits, challenges and job management, at relatively dissatisfied and from the aspect of social acceptance level was at relatively satisfied. Job satisfaction was significantly associated with work experience (P=0.049), ethnicity (P=0.009) and city of service location (P=0.001). Conclusion: Due to poor job satisfaction levels, effective actions should be taken to improve organizational communication, career development, salary and benefits, social acceptance, staff maintenance and support, management, Job challenges, and granting responsibilities based on the ability and experience of the individuals.
Dr Seyyed Kamal Mirkarimi, Rahmanberdi Ozoni Doji, Dr Mohammadreza Honarvar, Leyla Fazeli Aref,
Volume 5, Issue 1 (5-2017)
Abstract

Background & Objective: Obesity is an important health problem that is dramatically increasing in developed and developing countries and is also responsible for the most leading health problems in the vast majority of countries. Then, the current survey was aimed to investigate the association between physical activity and fruit and vegetables consumption among overweight and obese women referring to health centers of Gorgan city.
Methods: A cross-sectional study was accomplished among 420 overweight or obese women referring to the health centers of Gorgan city. A multi-stage cluster sampling was conducted. A researcher made questionnaire was made based on social cognitive theory constructs including demographic characteristics, HPLPII physical fitness standard questionnaire and fruit and vegetables consumption. All data were analyzed using central and distribution indices and analytical information through correlation and multivariate linear regression tests.
Results: The mean score of fruit and vegetable consumption were accordingly 2.04 ± 0.78 and 1.67 ± 0.83 portion per day; while, the average score of physical activity was 23.31 minutes with standard deviation of 16.6. There were a significant relationship between the self-efficacy, availability, expectation, environment and physical activity (p=0.001) and between the availability, expectation and fruit and vegetable consumption (p= 0.001).
Conclusion: The current findings suggest that structures of social cognitive theory including expectations, availability and self-efficacy play an important role in predicting physical activity and fruit and vegetables consumption.

Masoomeh Gholami, Majid Najafzadeh, Naser Behnampour, Zahra Abdollahi, Farzaneh Sadeghi Ghotbabadi, Farhad Lashkarboluki, Mohammad Reza Honarvar,
Volume 7, Issue 3 (9-2019)
Abstract

Background and objectives: Iran was reported in the high-risk group of World Food Security Map in 2008 .Identifying food insecurity is first step for executing interventions. Measuring household food security is its cornerstone. SAMAT System was designed to provide a variety of GIS-based reports to policy makers and managers in the field of food security.
Methods and Materials: SAMAT system was developed by a team working with various specialties. The system was analyzed using Rational Unified Process methodology and after optimization and normalization process, centralized database was formed. SQL Server 2014 software was used for its implementation. SharpMap open source engine was used to render spatial data and display maps on the web, and many parts of the engine were coded specifically to meet different organizational needs. The system was designed using the WEB GIS engine.
 Results: SAMAT system was executed in nine provinces of the country in different periods. SAMAT dashboard provides a variety of information for executive managers. Based on demographic data, the state of food insecurity can be identified at different levels from city to village, in a variety of graphs. A spectrum from the urban distribution to the local distribution of food insecurity can be identified on the GIS map. Zooming in on different areas can help to identify more food insecure neighborhoods within the village or town, thus giving managers the priority of food insecurity interventions at the neighborhood or village level. One can view household characteristics and the results of questionnaire information .
Conclusion:  SAMAT system can be useful for managing food security at the national, provincial, city and even rural or urban levels. we recommend periodically prioritizing points, Identifying the provinces and re-evaluating the effectiveness of interventions through the SAMAT-based system after comprehensive implementation of food insecurity reduction 


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