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Zohreh Karimain Kakolaki, Seyed Saeed Mazloomymahmoodabad, Fatemeh Heidari, Maryam Khadibi, Sakineh Gerayllo, Nooshin Yoshany,
Volume 8, Issue 1 (Jan-Mar 2019)
Abstract

Introduction: Premenstrual syndrome can lead to numerous problems for women and increase their susceptibility to depression compared to men. PMS is not a serious threat, but it can influence women's quality of life and mental health and reproductive. This research was conducted to compare the quality of life (QOL) in the three groups: women with premenstrual syndrome, premenstrual dysphoric disorder, and general population in Yazd (a city in the center of Iran).
Methods: This cross-sectional study was performed on 246 women referring to Yazd health centers. They were voluntarily or randomly selected. Data collection tools were quality of life questionnaire SF36 and the premenstrual syndrome screening tool. Obtained data were analyzed by SPSS18.0 with Kruskal-Wallis and Mann-Whitney test for comparison groups on SF-36 subscales.
Results: Among samples, 102(41.5%) had premenstrual syndrome (PMS), in 20(8.1%) the diagnostic characteristics for premenstrual dysphoric disorder (PMDD) were found, and 124 (50.4%) were in general population (GP) group, respectively. Comparison groups with Kruskal-Wallis test on SF-36 subscales showed that except for physical function in other components of quality of life, PMS and PMDD groups and non-clinical populations were significantly different (p< 0.05). Considering the Mann-Whitney test, women with PMDD reported a poor health-related quality of life as measured by the SF-36. Women with PMS and PMDD had lower mean score especially in the aspect of role limitation- emotional problems.
Conclusion: Quality of life is significantly affected by premenstrual symptoms, especially in the aspect of role limitation- emotional problems. Further studies and training program regarding PMS is recommended to improve the quality of life in this population, particularly for those experiencing severe premenstrual disorders.
Seyed Saied Mazloomy Mahmoodabad, Sakineh Gerayllo, Nafiseh Mizani,
Volume 8, Issue 3 (Jul- Sep 2019)
Abstract

Background: Skin cancer is one of the most common cancers and it is mostly caused by ultraviolet radiation. Therefore, this study aimed to investigate the factors affecting skin cancer preventive behaviors in medical sciences students who are responsible for the future health of the community.
Methods: This descriptive cross-sectional study was carried out on 150 students who were selected by the simple random sampling method. The data were collected by translating the questionnaire based on the extended parallel process model and were analyzed using SPSS-18 software. Moreover, data coding was analyzed using appropriate nonparametric statistical tests.
Results: The mean age of participants was 22.01 ± 5.24, more than half of whom (57.3%) used sunscreen as a self-protective behavior against the sunlight. The perceived severity construct had the highest score among the constructs. Among the background variables, gender had a significant statistical difference with the constructs of fear and behavioral intention, and preventive behaviors and economic status variable in the perceived response efficacy construct. Among the model constructs, the behavioral intention was the strongest behavioral predictor of skin cancer prevention.
Conclusion: Considering the correlation between self-efficacy and behavior as well as the correlation between the perceived response efficacy and behavioral intentions, it seems necessary to plan in this field in order to increase protective behaviors against sunlight and skin cancer prevention by removing existing barriers including cultural issues.
Neda Mirzaei, Hamed Kamelnia, Seyed Gholamreza Islami, Saeid Kamyabi, Seyedeh Negar Assadi,
Volume 9, Issue 1 (Jan-Mar 2020)
Abstract

Introduction: The main benefits of green buildings for energy and water conservation have been investigated and well recognized in previous studies. However, indoor environmental quality (IEQ) and human health benefits of green buildings have not been examined comprehensively. This study aimed to conduct a systematic review over the current status of green and non- green buildings on their occupants’ health and satisfaction.
Methods: A systematic search was conducted throughout the following databases: Science Direct, Google Scholar, and Springer. We reviewed 690 articles that examined the relationship between buildings and health. In total, after excluding the irrelevant titles and non-­English articles, 40 papers were included in the final analysis. Articles that evaluated IEQ factors and occupants’ health through surveys from 2005 to 2018 years were selected for investigation.
Results: The most important result of this study was identification of important factors in IEQ, including building design, aesthetics, and ergonomics, which have been less evaluated in previous research. Contrary to our assumption, the results of several studies indicated a further decline in IEQ parameters in buildings with Leadership in Energy and Environmental Design (LEED, USA) and Building Research Establishment Environmental Assessment Method (BREEAM, Europe) certification. However, performance improvements were reported in green buildings located in Asia (especially Singapore and Taiwan).
Conclusion: According to this systematic review, we cannot claim that occupants of the green buildings enjoy higher IEQ, satisfaction, or health, compared with the occupants of non-green buildings.
Farin Fatemi, Alireza Dehdashti, Besharat Zadehabbas, Hossein Kashani,
Volume 9, Issue 2 (Apr- June 2020)
Abstract

Introduction: Occupational accidents have been regarded as the third cause of mortality around the world. This study examined the rates, types, and causes of occupational accidents in industrial sites.
Methods: In a cross-sectional design, 721 accident reports were examined in the manufacturing sites in Semnan which is located in the central part of Iran from 2013 to 2015. This study used the Social Security Organization database on workplace accident investigation reports. Frequency and percentage were used for the prevalence, whereas Chi-Squarewere used to identify the predictors of occupational accidents. SPSS version 21 was used for data analysis and 0.01 was considered as a cutoff for the significant level.
Results: Accident Frequency Rates were 1.46, 1.54, and 1.40 in 2013, 2014, and 2015, respectively. Also, the Safe T-score was calculated between +3 and -3. The majority of accidents occurred in males in the age group 24-45, having the educational level of high school diploma or lower. Furthermore, most accidents occurred during the morning shift. Unsafe actions were determined as the major cause of accidents. The maximum reported statistics related to the type of accidents, injuries, and injured organs of the body were hitting sharp edges or obstacles (25%), bruising (30%), and upper limbs (44%). The results indicated a statistically significant relationship between shift work, accident type, inured organs, and injury type ( p =0.001).
Conclusion: This study revealed that workers’ behavior as a main contribution to accidents and injuries in the industry. Health and safety training should be designed according to worker duties.
Giti Bahrami, Hassan Rafiey, Alireza Shakiba, D Mehdi Noroozi, Homeira Sajjadi,
Volume 9, Issue 3 (Jul- Sep 2020)
Abstract

Introduction: Many studies have illustrated climate change effects on social variables and health. This study aimed to identify the SDH associated with climate change.
 
Methods: The present study is a review study with a systematic search. The keywords related to climate change and social variables were searched in the Web of Science and PubMed databases until June 2018. In the initial search 12097 articles were obtained and after the elimination of duplicate and non-related articles, 5932 articles remained After studying the abstracts, 342 articles were excluded based on entry and exit criteria (studies that were not related to climate change and SDH) and 43 articles remained. In the
next phase, the full text of the articles was evaluated by two evaluators individually and the consensus
method was used. 23 papers were finally included in the study.
Results: According to the review, social variables related to climate change were divided into 5 different categories of variables, including structural variables related to climate change (socioeconomic status), variables related to social status and work conditions (access to health services, unemployment, immigration, inequality, education, work condition, food security), variables related to social relationships and social networks (social movements, urban warfare, riot, group protests, interpersonal violence), individual variables related to lifestyle (place of living; city/village), and individual variables (age, race, gender) based on social determinants of health.
Conclusions: Climate change has a wide range of social outcomes.. Various groups that are vulnerable to climate change include women, elderlies, children, villagers, and workers.
Hasan Jafari, Mostafa Amini-Rarani, Mohammad Ranjbar, Milad Shafiee, Ashraf Haj-Hashemi,
Volume 11, Issue 2 (6-2022)
Abstract

Abstract
Introduction
Many people die as a result of road traffic crashes globally every year. Low- and middle-income countries had higher road crashes mortality compared to high-income countries and Iran is one of the countries with the high road crashes mortality in the world. Regarding the important and basic role the social components plays in health. The current study aims to investigate social determinants of traffic crash mortality in Isfahan during the 2014-2017.

Methods: This study was a cross-sectional data secondary analysis. 29909 traffic crashes were analyzed. Data were extracted from the Hospital Information System (HIS) and analyzed using logistic regression. Social determinants were selected using the Commission on Social Determinants of Health conceptual framework. Data were analyzed with Stata 14 software at a significance level of less than 0.05
Results: we found that 719(2.8%) mortalities were related to traffic accident injury. The death rate due to traffic crash in the hospital was 2.4%. Multivariate logistic regression showed that men (P-value =0.00), unemployed people, less than 65 years of age, injured transported from suburb and passengers of small vans/trucks (P-value <0.00) had higher odds of mortality caused by traffic crashes
Conclusions: Considering the importance of social factors on traffic crashes mortality, health policy-makers should develop preventive programs and adopting policies based on occupation, sex, age, mode of transport of the injured, and the type of vehicles to inform interventions aimed at reducing injury-related mortality.
 

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