The Efficiency of the Health Belief Model in Predicting the Preventive Behaviors of Pregnant Women During the COVID-19 Pandemic in Iran.

This study examined the efficiency of the health belief model in understanding preventive behaviors of pregnant women in Iran. A cross-sectional descriptive-analytical methodology study was conducted of pregnant women who were referred to a healthcare center in 2021. The data were the responses to a questionnaire designed for this study. The data were analyzed with SPSS 24 software, Amos 22 software, correlation tests, regression analysis, and independent t tests. In terms of the health belief model, pregnant women with high perceived susceptibility showed the highest vaccination rate, while those with high perceived barriers had the lowest. The model predicted 20% variance in the preventive behavior from COVID-19, with perceived susceptibility and cues to action being the strongest and weakest predictors of behavior, respectively. The conclusion of the study was that the health belief model was an appropriate model to guide the care of pregnant women.

Survey the effectiveness of education based on message framing through mobile phone on women's physical activity.

BACKGROUND: Physical activity in female employees is a healthy behavior and increases strength, endurance, improves flexibility, improves the feeling of vitality and freshness, improves health, and ultimately increases life expectancy. Health messages are one of the most effective ways to engage people and motivate them to perform healthy behaviors. The purpose of this study was to the study of the effectiveness of education based on message framing through mobile phone (whatsapp) on the physical activity of women employees of universities and higher education institutions in Ahvaz city. METHOD: In this interventional study, 90 of female employees of three universities and higher education institutions of Ahvaz city were selected by random sampling and randomly divided into three groups (30 participants) receiving gain framed messages, receiving loss framed messages and the control group. The tools of data collection were demographic information questionnaire and international physical activity questionnaire (IPAQ). The participants of the intervention groups received educational messages about physical activity behavior in two different gain and loss framed messages through whatsapp for one month. Data were collected from three groups at the beginning of the study, immediately and two months after the intervention, and were analyzed using SPSS version 26. RESULTS: The results showed that there was a significant increase in the average physical activity score after the intervention in two interventional groups. by comparing the increase of this score, 53% improvement in physical activity is observed in the gain message group and 15% in loss massage group but there was no significant increase in the control group. CONCLUSION: The results of this study showed that the design and implementation of education programs based on message framing, especially gain framed messages through online education (Whatsapp) can improve and promote physical activity behavior in women employees.

Toxic Air Pollutants and Their Effect on Multiple Sclerosis: A Review Study.

Toxic air pollutants are one of the main factors that have the effect of synergism to increase the incidence of multiple sclerosis (MS). This review aims to investigate the effects of toxic air pollutants on the occurrence of multiple sclerosis (MS). A narrative review of the literature was done from 2000 to 2022 based on various databases such as Google Scholar, Web of Science, Springer, PubMed, and Science Direct. In this study, according to the databases, three hundred and sixty articles were retrieved. Of these, 28 studies were screened after review and 14 full-text articles entered into the analysis process. Finally, 9 articles were selected in this study. According to the finding of this study, toxic air pollutants including polycyclic aromatic hydrocarbons (PAHs), heavy metals (HM), volatile organic compounds (VOCs), particulate matter (PM), and gases are the main agents that cause the development and spread of chronic diseases such as respiratory and cardiovascular diseases, chronic obstructive pulmonary disease (COPD), and multiple sclerosis. The result of this study showed that the main sources of emission of toxic air pollutants include industries, cars, power plants, and the excessive consumption of fossil fuels. In general, the inhalation of high concentration of toxic air pollutants can increase the risk of chronic diseases and multiple sclerosis.