Psychology
Sahere Fazeli; yadola Zargar; Iran Davoudi; seyed Esmaeil Hashemi
Abstract
Introduction: Vaccines play a critical role in preventing deaths caused by infectious diseases. This study aimed to predict COVID-19 Vaccine Acceptance Based on Personality traits, Self-care Behaviors, and Social capital. Methods: The present study is a descriptive and correlational study, which was ...
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Introduction: Vaccines play a critical role in preventing deaths caused by infectious diseases. This study aimed to predict COVID-19 Vaccine Acceptance Based on Personality traits, Self-care Behaviors, and Social capital. Methods: The present study is a descriptive and correlational study, which was conducted by office staff in the Ahvaz education organization using an available method. The questionnaires were completed online in the fall of 1400 and the number of people present in this research is 169 people. Were used to collect data from Hexaco 60 questionnaires (Ashton and Lee, 2004), Social capital (Putnam, 2000), self-care behaviors (Pouyanfard, 2020), and a short researcher-made questionnaire (Corona vaccine acceptance). Results: The results of data analyses showed that personality traits (consciousness and neuroticism), Self-care Behaviors, and social capital are the best predictors of COVID-19 Vaccine Acceptance. Conclusion: According to the findings, designing programs to increase the vaccination rate and appropriate psychological strategies and techniques is essential to enhancing the responsibility of the community in terms of trust in vaccination and strengthening the behavior of participating in people.
Babak Bahreinipour; Yadollah zargar; amin koraei
Abstract
Introduction: The present study aims to predict the acceptance of the Covid-19 vaccine based on death anxiety, social capital, and superstition. Method: The research population included all the people who were eligible to receive the vaccine in the summer and fall of 1400, out of which there were 150 ...
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Introduction: The present study aims to predict the acceptance of the Covid-19 vaccine based on death anxiety, social capital, and superstition. Method: The research population included all the people who were eligible to receive the vaccine in the summer and fall of 1400, out of which there were 150 people in two groups including people over 18 years of age who were willing to receive various types of Covid- 19 vaccines (75 people) and the people who did not want to accept it (75 people) were selected as the research sample using the purposeful sampling method. The participants were asked to respond to Templer's Death Anxiety Scale (1970), Delaware's Social Capital Questionnaire (1384), and Azizkhani's Superstition Tendency Questionnaire (1392). In addition to descriptive statistics, discriminant analysis was used for data analysis. Findings: The results obtained with the simultaneous discriminant analysis method confirmed the research hypothesis of predicting the acceptance of the Covid-19 vaccine based on death anxiety, social capital and superstition (prediction coefficient equal to 0.65). Also, the results of the discriminant analysis with the step-by-step method showed that the two variables of social capital, and superstition are the strongest predictors of accepting or not accepting the Covid-19 vaccine (prediction coefficient equal to 0.64). Conclusion: The results indicate the predictive role of all three variables of death anxiety, social capital, and superstition in accepting or rejecting the Covid-19 vaccine, which plays an important role in improving the health of society. The findings were discussed in detail.
