Domestic violence is passed from one generation to the next, and it affects not only the victim but also the psychological states of the witnesses, and especially the psychosocial development of children. Studies have reported that those who have been the victim of or witnessing violence during their childhood will use violence to a greater extent as adults in their own families. This research examines the relationships between a history of childhood physical abuse, likelihood of psychiatric diagnoses, and potential for being a perpetrator of childhood physical abuse in adulthood among women who received psychiatric treatment and in the healthy population from Turkey. Estimates of the prevalence of childhood physical abuse vary depending on definition and setting. The frequency of witnessing and undergoing physical abuse within the family during childhood is much higher in the psychiatrically disordered group than the healthy controls. Childhood physical abuse history is one of the major risk factors for being an abuser in adulthood. The best indicator of physically abusing one's own children was found to be as physical abuse during the childhood period rather than psychiatric diagnosis. There is a large body of research indicating that adults who have been abused as children are more likely to abuse their own children than adults without this history. This is an important study from the point of view that consequences of violence can span generations. Further studies with different risk factor and populations will help to identify different dimensions of the problem.

No abstract

Adolescents have been called the “digital natives of the technology age”, but determining adolescents’ awareness, attitudes and behavior with respect to technology addiction (TA) is important for developing balanced and effective approaches to support their physical and psychological well-being after the COVID-19 pandemic. For this reason, the present study investigates the impact of attitudes on TA behavior in 382 adolescents by gender and extent of technology use. Three scales were used to determine adolescents’ TA awareness, attitude, and behavior. The results of the dual-moderated mediation model show that gender and duration of technology use (h) moderated the full mediation of attitude on awareness and behavior in TA ( F = 39.29, df = 9;372, p < .01). The indirect effect in males with 16.04 h per day of technology use is stronger (.24) than the indirect effect in males with 4.90 h per day of technology use (.13). In addition, the simple slope plot shows that when attitude scores increase, addictive behavior rises in females (simple slope = .74, t = 8.79, p < .01). On the other hand, with 16.04 h per day of technology use, when attitude scores decrease, addictive behavior rises in females (simple slope = .69, t = 7.59, p < .01). Furthermore, when the attitude scores increase, addictive behavior rises in males (simple slope = .85, t = 13.26, p < .01). As a result, the psychoeducational intervention programs to be implemented for TA should not only focus on awareness, but should also encompass behavioral, cognitive and lifestyle changes.

BACKGROUND: Nurses experience loneliness, anxiety, fear, fatigue, sleep disorders, and other physical and mental health problems due to their close contact with patients in cases of epidemic diseases. Among nurses in Turkey, we want to explore how anxiety, psychological health, and social isolation affect nurses’ quality of life. OBJECTIVES: This study aimed to investigate the effects of the COVID-19 pandemic on the quality of life (COVID-19 EQLS), State-Trait Anxiety Inventory (STAI-1 and STAI-2), psychological health, and social isolation among nurses. It also aimed to identify whether the influence of trait anxiety, psychological health, and social isolation are stronger than the direct influence of state anxiety on nurses’ quality of life during the pandemic. METHODS: A cross-sectional study design and STROBE guidelines were implemented. In this study, 638 nurses in Turkey were included using simple random sampling. The participants completed the STAI-1 and STAI-2 and COVID-19 EQLS online-form. The parallel-serial mediation model was used to examine the relationships between the determined variables. RESULTS: Psychological health, psychological effects of social isolation, and trait anxiety fully mediated the relationship between state anxiety and quality of life of nurses. The total indirect effect of the confidence interval of bootstrapping was statistically different from zero. CONCLUSIONS: Trait anxiety, psychological health, and social isolation were the main factors with statistically significant indirect effects on the quality of life of Turkish nurses in this study.

No abstract