ABSTRACT
The aim of this study is to examine the mediating role of dissociation in emotional regulation and parental child-containing function skills of mothers exposed to childhood trauma. The research was conducted with 400 mothers between the ages of 20-60 who had childhood trauma and currently have children between the ages of 0-18. The relational screening model, one of the general screening models, was used in the research. The sample of the research was selected using the convenient sampling method and the simple random method. Research data were collected with the Sociodemographic Information Form, Childhood Trauma Scale (CTS), Parental Child-Containing Function Scale (PCCFS), Emotion Regulation Difficulty Scale (ERDS), and Dissociative Experiences Scale (DES). According to the results obtained in the study, physical abuse (ß = 0.197; 95% CI [0.124; 0.268]), physical neglect (ß = 0.232; 95% CI [0.161; 0.306]), emotional abuse (ß = 0.238; 95% CI [0.169; 0.309]), emotional neglect (ß = 0.210; 95% CI [0.150; 0.275]), and sexual abuse (ß = 0.139; 95% CI [0.058; 0.220]) were found to have a significant indirect effect on emotion regulation difficulties through dissociative experiences. In addition, physical abuse (ß = 0.122; 95% CI [0.071; 0.181]), physical neglect (ß = 0.151; 95% CI [0.084; 0.228]), emotional abuse (ß = 0.158; 95% CI [0.086; 0.238]), emotional neglect (ß = 0.159; 95% CI [0.093; 0.235]), and sexual abuse (ß = 0.086; 95% CI [0.039; 0.150] was found to have a significant indirect effect on parental child-containing function skills through dissociative experiences.
ABSTRACT
Background: The aim of this study is to evaluate whether providing psychological support to healthcare professionals who are actively involved in the pandemic process will reduce the psychological risk factors created by the pandemic on healthcare professionals. Methods: A total of 440 healthcare professionals working in different positions in 2 state hospitals, which are considered pandemic hospitals, were included in the study. Sociodemographic Data Form, Hospital Anxiety and Depression Inventory, and Psychological Resilience Scale were used in the study, which was carried out with the experimental design pre-test-post-test model before the experiment. Participants were made to watch 4 videos prepared by expert psychologists on anxiety, depression, and psychological resilience. Results: The data obtained from the sample before and after watching the videos were analyzed with the paired sample t-test. Accordingly, there was a significant difference between the groups of health workers who participated in the survey before and after watching the psychological support videos (P < .001). After watching the psychological support videos, the anxiety scores of the health workers decreased. In addition, anxiety scores created a significant difference in demographic variables (gender, age, marital status, not having a child, having a high education level, smoking and alcohol use, having a physiological disease, and working year). Depression scores decreased in those who use alcohol and those who have 1-3 shifts per month. Conclusions: In disasters such as epidemics that bring psychosocial difficulties, psychotherapeutic support to those who fight in the first place is important in protecting their mental health.
ABSTRACT
Background: The aim of this research is to develop a multidimensional scale that reveals the psychosocial impact of coronavirus disease 2019 (COVID-19) pandemic on people with its dimensions. Methods: An item pool of 155 questions was created by examining the literature, and these items were turned into a questionnaire with 76 questions by taking expert opinions. During the pilot study, this questionnaire was applied to 335 people from the general population, who were reached with the snowball sampling model. The second phase of the study was carried out with a second new sample group consisting of 826 participants, and confirmatory factor analysis, mean explained variance and compound reliability, and Cronbach's alpha analyses were applied to the obtained data. The test-retest study of the scale was re-applied to the second sample group, reaching 826 participants with an interval of 3 weeks. Results: The explained variance value of the scale was 81.352%. As a result of confirmatory factor analysis, the factor loads of the items of the scale were between 0.59 and 0.91, and the relationships between the items and the latent variables were significant at the P < .01 level; fit criteria is excellent and acceptable; Cronbach's alpha coefficient was found to be between 0.897 and 0.957, and as a result of the test-retest, the reliability coefficients were found to be between 0.948 and 0.950. Conclusion: From the results obtained, it was accepted that all the reliability and validity indicators of the COVID-19 pandemic Psychosocial Impact Scale are high and can be used as a valid and reliable scale to measure the psychosocial effects of the coronavirus disease 2019 pandemic process on individuals.
