Journal of community health research

10-17

Authors: Mahmood Vakili, Mohsen Mirzaei, Zabihullah Mohaqiq, Mansour Ahmadi, Ehsan Alavirad

Introduction: Physical activity and healthy eating at an early age are two key elements in prevention of Non-Communicable Diseases. Therefore, regular physical activity is recommended to improve public health and to reduce the burden of diseases and medical costs in communities. The aim of this study was to determine the status of physical activity in Yazd high school students Methods: A total number of1018 male high school students participated in this cross-sectional study. They were permanent residents of Yazd city in the school year of 2015-2016. Multistage cluster classification and stratified sampling methods were applied to collect samples. A validated Persian standardized World Health Organization questionnaire (GSHS) was used as a data collection tool. After completing the questionnaire by students, data were analyzed by SPSS. Results: only 11.6 % of participants reported physical activity for at least 60 minutes a day. Inert activities such as watching television or playing computer games for more than 2 hours during a typical day was reported by 531 participants (55 %). Based on body mass index, 18.23 % of students were obese and 13.22 % were overweight. Discussion and conclusion: The results of this study suggest that the level of students' physical activities is low. Paying more attention to physical activity and designing curriculums that devote more hours for physical activities are recommended. Encouraging physical activity in leisure time and providing proper facilities for adolescents are further suggestions.

34-43

Authors: Leila Shahmoradi, Amos Otieno Olwendo, Hussein Arab-Alibeik, Khosrow Agin, Sougand Setareh

Introduction: This research was meant to provide a model for COPD diagnosis and to classify the cases into phenotypes; General COPD, Chronic bronchitis, Emphysema, and the Asthmatic COPD using a Bayesian Network (BN). Methods: The model was constructed through developing the Bayesian Network structure and instantiating the parameters for each of the variables. In order to validate the achieved results, the same data set was applied to a neural network application using the Levenberge- Marquardt algorithm. Furthermore, a card Diag, a C++ application that enables graphical classification of COPD into phenotypes and depicts the relationships of COPD phenotypes was developed. Results: The results showed that a Bayesian Network can be successfully applied to develop a probabilistic model for diagnosis and classification of COPD cases into the corresponding phenotypes. Conclusions: A model that classifies COPD cases into phenotypes of general COPD, Chronic bronchitis, Emphysema, and Asthmatic COPD was successfully developed. Moreover, the achieved results also helped to represent graphical representations of COPD phenotypes and explained how the phenotypes relate to each other. It was also observed that COPD is mostly associated with people aged 40 years or older. Overall, smoking is the major cause of COPD.

53-63

Authors: Mohammad Ali Morovati Sharifabadi; Ehsan Movahed, Kheirmohammad Jodgal, MoradAli Zareipour, Somayeh Alizadeh, Rabae Agh Atabai, Vali Bahrevar, Mahboobeh Ameri

Introduction: This is important to consider the health, social support, and marital satisfaction of drivers since they own one of the essential and stressful jobs in society. The purpose of this research was to investigate quality of life, marital satisfaction, and social support of the drivers referring to the cargo terminal of Yazd City. Methods: In order to collect data, 134 drivers in Yazd cargo terminal were selected. The ENRICH questionnaire of marital satisfaction, SF - 36 questionnaire, and social support questionnaire (SSQ) have been used as data collection tools. The collected data were then analyzed by Independent T test, Analysis of Variance (ANOVA), and Pearson correlation. Results: According to the results, the drivers' average age was 40.2 ± 9.17 years old. The mean scores of marital satisfaction, quality of life, and social support were equal to 120.04 ± 20.14 out of 175, 99.69 ± 18.14 out of 149, and 15 ± 4.76 out of 23, respectively. About 60.4 % of drivers were not satisfied with their jobs. There were significant relationships between weight and marital satisfaction (P = 0.02), as well as between job satisfaction (P = 0.003) (P = 0.015) and income (P = 0.047) (P = 0.020), to social support and quality of life. Also, a strong significant positive relationship was observed in correlation coefficient between social support and two variables of quality of life and marital satisfaction (P = 0.000). Conclusion: This can be argued that marital satisfaction, quality of life, and social support of the drivers are lower than the expected levels. Therefore, it can be concluded that physical and mental health of drivers can be effective on safety of roads; thereby it is necessary to improve their conditions in marital satisfaction, quality of life, and social support.