Alexandra J. Skew

Bullying among siblings

Abstract Background: Parents are often concerned about repeated conflicts between their daughters and sons. However, there is little empirical research of sibling bullying. Objective: To conduct a review of existing studies of sibling bullying. Are there any associations between sibling bullying and peer bullying at school? What are the consequences of sibling bullying? Is there good justification why sibling bullying has been so neglected in research? Method: Studies of sibling relationships were reviewed. Four quantitative studies were identified that report on both sibling and peer bullying. Results: Sibling bullying is frequent with up to 50% involved in sibling bullying every month and between 16% and 20% involved in bullying several times a week. Experience of sibling bullying increases the risk of involvement in bullying in school. Both, bullying between siblings and school bullying make unique contributions to explaining behavioral and emotional problems. There is a clear dose-effect relationship of involvement of bullying at home and at school and behavioral or emotional problems. Those involved in both have up to 14 times increased odds of behavioral or emotional problems compared to those involved in only one context or not at all. Conclusions: The empirical evidence is limited and studies are mostly cross-sectional studies. Nevertheless, the review suggests that for those victimized at home and at school behavioral and emotional problems are highly increased. Sibling relationships appear to be a training ground with implications for individual well-being. Strengthening families and parenting skills and increasing sibling support is likely to reduce bullying and increase well-being.

Media Use, Sports Participation, and Well-Being in Adolescence: Cross-Sectional Findings From the UK Household Longitudinal Study

Objectives. We investigated the relationship between selected types of screen-based media (SBM) use, total SBM use, sports participation, and markers of well-being. Methods. Data came from the youth panel (n = 4899) of Understanding Society, the UK Household Longitudinal Study, conducted in 2009. Well-being was measured by the Strengths and Difficulties Questionnaire and markers of happiness in different life domains. Results. The majority of young people used multiple types of SBM for at least 1 hour per day; only 30% participated in sports every day. Overall, young people with heavy SBM use were less happy than moderate users and more likely to have socioemotional difficulties. Chatting on social networking Web sites and game console use were associated with higher odds of socioemotional problems. Higher total SBM use was associated with lower odds of happiness and higher odds of socioemotional difficulties. Greater participation in sports was associated with higher odds of happiness and lower odds of socioemotional difficulties. Conclusions. Further longitudinal research could inform future interventions to reduce sedentary behavior and encourage healthy lifestyles among young people.

Well-Being in Adolescence—An Association With Health-Related Behaviors Findings From Understanding Society, the UK Household Longitudinal Study

The objective of this study was to investigate the demographic distribution of selected health-related behaviors and their relationship with different indicators of well-being. The data come from Wave 1 of the youth panel of Understanding Society household panel study. The Strengths and Difficulties Questionnaire (SDQ) measured socio-emotional difficulties. Markers of happiness in different life domains were combined to assess levels of happiness. Generally, younger youth participated in more health-protective behaviors, while older youth reported more health-risk behaviors. Higher consumption of fruit and vegetables and greater participation in sport were associated with higher odds of high happiness. Healthier eating was associated with lower odds of socio-emotional difficulties, while increased fast food consumption was associated with higher odds of socio-emotional difficulties. Smoking, drinking, and decreased sport participation were all associated with socio-emotional difficulties. Health-protective behaviors were associated with happiness, while health-risk behaviors were associated with socio-emotional difficulties.