Mohammad Mohhamadi, Dr Mohmmad Taghi Badeleh-Shamooshaki,
Volume 17, Issue 3 (10-2021)
Abstract
Background: In coronavirus disease 2019 (COVID-19) epidemic, one way to prevent the prevalence is quarantine that has negative psychological effects, especially for students. The aim of this study was to investigate the role of psychological well-being in predicting sleep quality during COVID-19 quarantine in high school students.
Methods: This study was descriptive-correlational. A sample (n = 212) was selected by convenience sampling method from all high school students in Kalaleh, Golestan Province, Iran. Data were collected using the online demographic questionnaire, Reef Psychological Well-being Scale (PWB), and the Pittsburgh Sleep Quality Index (PSQI). Finally, the data were analyzed using Pearson correlation coefficient and stepwise regression in SPSS software (P ≤ 0.05).
Findings: Based on the results obtained by regression analysis, psychological well-being was able to predict sleep quality (P = 0.011, F = 6.54, R2 = 0.030). Among the psychological well-being variables, “environmental mastery” (P = 0.001, T = -5.379, R2 = 0.120) had the highest ability to predict sleep problems in high school students during COVID-19 quarantine. The results also showed that the components of gender, education, and ethnicity did not play a modulating role.
Conclusion: Psychological well-being plays a role in predicting the quality of sleep of high school students during COVID-19 quarantine. Therefore, it is necessary to pay attention to students' psychological well-being in the COVID-19 epidemic and the resulting quarantine.
Dr. Farideh Ensafdaran, Dr. Mahmoud Nejabat, Dr. Abdolreza Mahmoudi, Dr. Maryam Shamsaei,
Volume 18, Issue 2 (7-2022)
Abstract
Background: The aim of this study was to investigate the psychological well-being of nurses based on the variables of spiritual health, resilience, and emotional atmosphere of the family during the corona pandemic and its effect on nurses' emotional distress tolerance.
Methods: The present study was a correlational study. The statistical population of the study includes all nurses of public hospitals in Shiraz, Iran. Due to the corona pandemic conditions, 200 members of the community were randomly selected as the research sample. Data were collected using standard questionnaires of psychological well-being, spiritual health, resilience, family emotional atmosphere, and emotional distress tolerance and were analyzed by structural equation modeling (SEM) using SPSS and Amos software.
Findings: The proposed model had a good fit. Based on the results of structural equations, spiritual health (P = 0.170 and P = 0.012), resilience (P = 0.180 and P = 0.008), and family emotional atmosphere (P = 0.360 and P < 0.001) directly affected the nurses' psychological well-being. Moreover, the indirect effects of spiritual health (P = 0.083 and P = 0.012), resilience (P = 0.088 and P = 0.005), and family emotional atmosphere (P = 0.170 and P < 0.001) on the nurses' emotional distress tolerance through psychological well-being was confirmed. Only the direct effect of resilience on emotional distress tolerance (P = 0.030 and P = 0.570) was not confirmed in the model.
Conclusion: The spiritual health, resilience, and emotional atmosphere of the family lead to improvement of psychological well-being and also increase the nurses' emotional distress tolerance.
Ehsan Zargar Kharazi-Esfahani, Mohammad Reza Abedi, Fahimeh Namdarpour,
Volume 19, Issue 1 (4-2023)
Abstract
Background: Redemptive self is a part of life narratives in which bad scenes are redeemed with good results or positive emotions. Personality traits in the big-5 model are: neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness. The aim of this study was to investigate the relationship between redemptive self and personality traits with some psychological characteristics including psychological well-being, career adaptability, generativity, and emotional intelligence.
Methods: In this study, 57 Iranian adults in the age range of 22-65 years were selected by convenience sampling method and filled in the Life Story Questionnaire, NEO test, Loyola Generativity Scale (LGS), Ryff Psychological Well-Being Scale (PWB), Career Adapt-Abilities Scale (CAAS), and Emotional Intelligence Questionnaire. Individuals' answers to the questionnaire questions were analyzed by Pearson correlation coefficient and stepwise regression using SPSS software.
Findings: Based on the results of the present study, the relationship between the redemptive self and personality traits with each of the psychological characteristics mentioned above was significant. Redemptive self and personality traits had a significant relationship with psychological well-being, career adaptability, generativity, and emotional intelligence and predicted them.
Conclusion: Redemptive self and extraversion predicted generativity, neuroticism (negatively) and agreeableness predicted psychological well-being, extroversion predicted career adaptability, and agreeableness predicted emotional intelligence.
