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Background and Aims: In Iran, few studies have addressed the moderating effect of gender on determinants of quality of life. This study aimed to determine the effect of social trust, physical activity, and sense of happiness on the perceived quality of life, considering the moderating role of gender. Methods: This was a population-based cross-sectional study. The statistical population were men and women aged 16 years and above in five western provinces of Iran. The final sample size was estimated to be 1268 people calculated through the correlation coefficient estimation formula, and finally 1185 questionnaires received. Data were analyzed using SPSS and AMOS software. Results: The mean score of quality of life among women was significantly higher than that of men (p < 0.001). The direct standardized coefficient showed that the sense of happiness (ß = 0.40), social trust (ß = 0.20), and physical activity (ß = 0.12) had a significant effect on the perceived quality of life (p < 0.001). Also, gender had a moderating role in the relationship between sense of happiness and perceived quality of life (z-score = 3.246, p < 0.001). Totally, 21% of the changes in perceived quality of life were explained by three main variables. The main variables were stronger explanatory factors in men (R = 0.26) than in women (R = 0.17). Conclusions: The final model showed that sense of happiness had the most direct effect on the perceived quality of life, moderated by gender. Considering that the quality of life among men was lower than that among women and the direct effect of happiness on quality of life was more among men than that among women, it is suggested that gender-based health promotion interventions with an emphasis on men be carried out to strengthen the sources of happiness to improve quality of life.
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OBJECTIVES: This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample. METHODS: This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media. Data were collected using a questionnaire consisting of 4 sections (questions on demographic variables, risk perception, risk communication, and COVID-19 preventive behaviors) and analyzed using Stata ver. 8. RESULTS: The Pearson correlation test showed that risk communication was significantly correlated with COVID-19 preventive behaviors (r=0.320, p<0.01). In the final model, where the explanatory power increased with the entry of the risk communication variable, the variables explained a total of 14% of variance in COVID-19 preventive behaviors. Sex (ß=-0.482), risk perception (ß=0.047), and risk communication (ß=0.662) were significant determinants. CONCLUSION: Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.