ABSTRACT
Background: Misconceptions about the infection and health consequences of recovered Coronavirus Disease 2019 (COVID-19) patients often lead to a fear, social avoidance and discriminatory attitude. The present study explored the Factors associated with social avoidance and job-related discriminatory attitude against recovered COVID-19 patients. Methods: The present cross-sectional online study was conducted on 3,836 Iranian participants above 15 years old. The participant selected conveniently between February 19, 2021 and May 21, 2021. The data collected using a reliable and valid questionnaire that developed by research team. Univariate and multivariate linear regression analysis was used to identify the impact of factors related to social discrimination and discriminatory attitudes towards improved COVID-19 patients. Results: The results shows 56.72 and 49.06% of the population had social avoidance and job-related discriminatory attitude respectively. Furthermore, age, gender, education level, marital status, employment, presence of a recovered COVID-19 patient in family and place of residence were significant factors influencing social avoidance and job-related discriminatory attitude. As an instance, those in the 45-64 age group showed 1.1 times more social avoidance than the 20-29 age group. Also, men showed 37% less social avoidance than women. Social avoidance was significantly higher and the discriminatory attitude was higher in participants of lower education level. Besides, the job-related discriminatory attitude was 1.2 times higher in the 45-64 than the 20-29 age group. The discriminatory attitude was 16% less in men, 39%, 25% and 49% less, respectively in participants with a secondary school, diploma or university degree. Conclusions: To reduce social avoidance and job-related discriminatory attitude we suggest that the medical sector and relevant organizations provide clear and comprehensive information about improved COVID-19 patients to their families and general public through direct communication and the mass media. Base on the study results they need more focus on urban residents, women and families with a recovered member
Subject(s)
COVID-19ABSTRACT
Background: The present research aimed to predict the preventive behaviors of COVID-19 in the light of the Protection Motivation Theory (PMT). Methods: The present cross-sectional research was conducted in 2 months (March 2020-April 2020) in Hormozgan Province of Iran. The research population comprised all residents above 15 years of age. They received an online questionnaire survey in two parts, demographic information along with PMT constructs. To analyze the data, independent t-test and one-way anova test, Multiple linear regression and the statistical technique of path analysis and structural equation modeling was used. All statistical calculations and hypothesis testing were performed using spss21 and Amos21 software and a significant level of hypothesis testing was considered to be 0.05Results: A total number of 2,032 subjects participated in this research, the mean age of whom was 34.84±9.8 (R=15-98). The majority of participants were between 31 - 40 years old, female (60.4%), married (72%), urban residents (87.3%), holding a Bachelor’s degree or higher (58.8%) and employed (58.8%). Statistically significant positive correlation coefficients were estimated between preventive behaviors of COVID-19 and perceived vulnerability (r=0.192, p<0.001), perceived severity (r=0.092, p<0.001), response efficacy (r=0.398, p<0.001) ,self efficacy (r=0.497, p<0.001) and protection motivation (r=0.595, p<0.001). Statistically significant negative correlations were found between behavior and maladaptive behavior rewards (r=-0.243, p<0.001) and perceived costs (r=-0.121, p<0.001). Conclusions: The present findings showed that maladaptive behavior reward and fear predicted protective behaviors negatively; response efficacy and self-efficacy predicted protective behaviors positively. The effect of self-efficacy was the strongest among all. The information provided in this research can contribute to policy-making in the country.
Subject(s)
COVID-19ABSTRACT
Background: The present research aimed to predict the preventive behaviors of COVID-19 in the light of the Protection Motivation Theory (PMT).Methods: The present cross-sectional research was conducted in 2 months (March 2020-April 2020) in Hormozgan Province of Iran. The research population comprised all residents above 15 years of age. They received an online questionnaire survey in two parts, demographic information along with PMT constructs. To analyze the data, independent t-test and one-way anova test, Multiple linear regression and the statistical technique of path analysis and structural equation modeling was used. All statistical calculations and hypothesis testing were performed using spss21 and Amos21 software and a significant level of hypothesis testing was considered to be 0.05Results: A total number of 2,032 subjects participated in this research, the mean age of whom was 34.84±9.8 (R=15-98). The majority of participants were between 31 - 40 years old, female (60.4%), married (72%), urban residents (87.3%), holding a Bachelor’s degree or higher (58.8%) and employed (58.8%). Statistically significant positive correlation coefficients were estimated between preventive behaviors of COVID-19 and perceived vulnerability (r=0.192, p<0.001), perceived severity (r=0.092, p<0.001), response efficacy (r=0.398, p<0.001) ,self efficacy (r=0.497, p<0.001) and protection motivation (r=0.595, p<0.001). Statistically significant negative correlations were found between behavior and maladaptive behavior rewards (r=-0.243, p<0.001) and perceived costs (r=-0.121, p<0.001).Conclusions: The present findings showed that maladaptive behavior reward and fear predicted protective behaviors negatively; response efficacy and self-efficacy predicted protective behaviors positively. The effect of self-efficacy was the strongest among all. The information provided in this research can contribute to policy-making in the country.