11 research outputs found

    Associations between Arab Mothers’ Self-Efficacy and Parenting Attitudes and their children’s Externalizing and Internalizing Behaviors:Gender Differences and the Mediating Role of Corporal Punishment

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    In this study we examined the association between Arab mothers’ self-efficacy and parenting attitudes and their children’s internalizing and externalizing behaviors, and whether these associations are mediated by the use of corporal punishment. Further, we examined whether the child’s gender moderates these associations. We included 2380 mothers of kindergartners who answered a questionnaire assessing levels of self-efficacy, attitudes on corporal punishment, use of corporal punishment, and their children’s internalizing and externalizing behaviors. Using structural equation modeling we tested for the mediation by corporal punishment of the association between self-efficacy, attitudes on corporal punishment and children’s behaviors. We further tested possible moderation by gender of the model. Results supported the hypothesized mediation effect of corporal punishment. Results suggest that mothers’ low self-efficacy and attitudes supporting corporal punishment were associated with elevated likelihood of use of corporal punishment which, in turn was associated with elevated levels of child’s internalizing and externalizing behaviors. No moderation by gender of this pathway was found, suggesting that boys and girls react similarly to the use of corporal punishment by their mothers. Interventions aimed at helping Arab mothers understand the impact of their behavior and guide them toward effective disciplinary strategies are suggested

    The Link between ADHD Symptoms and Antisocial Behavior: The Moderating Role of the Protective Factor Sense of Coherence

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    Numerous studies have established the link between ADHD and antisocial behavior, one of the most serious functional impairments caused by the disorder. However, research on protective factors that mitigate this link is still lacking. The Salutogenic Model of Health offers the “Sense of Coherence” (SOC), establishing that individuals who see their lives as logical, meaningful, and manageable are more resistant to various risk factors and diseases. The present study examines for the first time whether SOC is also a protective factor against different ADHD-related types of antisocial behaviors (severe/mild violent behavior, verbal violence, property crimes, public disorder, and drug abuse). A total of 3180 participants aged 15–50 completed online questionnaires assessing the level of ADHD symptoms, antisocial behaviors, and SOC. Structural equation modeling was applied to examine the research hypothesis. An interaction between ADHD symptoms and SOC was found in predicting each type of antisocial behavior (beta = −0.06–−0.17, p < 0.01). The link between ADHD symptoms and antisocial behavior was significantly weaker for high than low SOC participants, regardless of age group. The current study found that people with high SOC are protected against the effect of ADHD symptoms on one of the most serious functional impairments, antisocial behavior. These findings suggest that SOC is a protective factor from the adverse effects of ADHD symptoms, justifying further prospective and intervention studies

    Risk Factors for involvement in cyber bullying: Victims, bullies, and bully-victims

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    Objectives: The purpose of the current study was to examine the frequency of cyber bullying among youth by distinguishing among the three categories of involvement in cyber bullying: victims, bullies, and bully–victims, to compare these to a fourth category of students who are not involved in the three categories of cyber bullying and to explore the factors that contribute to involvement in cyber bullying. Method: This study utilized a large and diverse sample of 2186 middle and high school students, who completed self report questionnaires during class time. We performed a Multinomial Logistic Regression to examine the relationship between the cyber bullying categories and our independent variables (gender, age, technology use, parental involvement and safety). Results: Over 30% of the students in this study identified as involved in cyber bullying, as victims or perpetrators, and one in four of the students (25.7%) reported having been involved in cyber bullying as both bully and victim during the previous three months. Students who were involved in cyber bullying were more likely than others to report perpetration of violence toward peers, to use computers for more hours a day, and to give their password to friends. Other risk factors, such as gender, age and safety, were found to be specific only for one category of cyber bullying. Conclusion: The findings revealed that students are highly involved in cyber bullying. Several unique characteristics emerged regarding the frequency and risk factors of students' involvement in cyber bullying. In traditional bullying the category of bully–victims represents the smallest and most vulnerable group of children, whereas in the current study the bully–victims category emerged as common. In addition, females were more likely than males to be bully–victims, in contrast to research on traditional bullying, in which more males than females are typically involved as bully–victims. In addition, several risk factors were common among the three groups of children, including the amount of hours per day students use the computer, and giving passwords to a friend. These results point to the need for further examination and to focus on the risk factors for students' cyber bullying involvement in each of the three categories

    Prevalence, Motivations, and Social, Mental Health and Health Consequences of Cyberbullying Among School-Aged Children and Youth: Protocol of a Longitudinal and Multi-Perspective Mixed Method Study

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    This paper describes the protocols applied in a longitudinal and multi-perspective mixed-methods study with five objectives: (1) to explore children/youth’s experiences, and children/youth’s, parents’, and teachers’ conceptions, definitions, and understanding of cyberbullying; (2) to explore how children/youth view the underlying motivations for cyberbullying; (3) to document the shifting prevalence rates of cyberbullying victimization, witnessing, and perpetration; (4) to identify risk and protective factors for cyberbullying involvement; and (5) to explore social, mental health, and health consequences of cyberbullying
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