Similarities and Differences between Psychosocial Determinants of Bullying and Cyberbullying Perpetration among Polish Adolescents

Bibliographic Data

ID15501008
AuthorsMarta Malinowska-Cieślik (0000-0003-2739-8461, Jagiellonian University, corresponding author), Dorota Kleszczewska (0000-0001-7523-8628, Institute of Mother and Child Foundation, 01-211 Warsaw, Poland), Anna Dzielska (0000-0001-7396-8504, Department of Child and Adolescent Health, Institute of Mother and Child, 01-211 Warsaw, Poland), Monika Ścibor (0000-0002-2954-6037, Jagiellonian University), Joanna Mazur (0000-0002-0417-5743, University of Zielona Góra, corresponding author)
Year2023
Volume20
Issue2
Pages1358-1358
Publication date2023-01-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20021358
PMID36674114
OpenAlexW4315651981
LanguageEN
Citations received1
References cited61

Despite the extensive literature on the psychosocial determinants of bullying and cyberbullying among adolescents, there is not sufficient comprehensive analysis of the differences between perpetrators. This study aims to assess the psychosocial similarities and differences between bullies and cyberbullies. Data of 3650 students from two grades, K9 and K11 (47% females, mean age = 16.53), were used from a survey conducted in Poland in 2018 as part of the Health Behaviour in School-aged Children study. Perpetration was measured by questions adapted from the Olweus Bully/Victim Questionnaire. The following predictors were analyzed: demographic, socioeconomic status measured with the Family Affluence Scale-III (FAS), and individual and social factors. Multiple binary logistic regression was applied. The random sampling design was based on stratification according to the local deprivation index of the region where the school was located. Male gender, younger age, and non-intact family were associated with a higher risk of bullying and cyberbullying. Family support, empathy, school performance, and school attachment had a protective effect against both aggressive behaviors. Life dissatisfaction and high FAS were revealed as determinants of cyberbullying and local deprivation of bullying only. Bullying and cyberbullying school prevention programs should take into account these psychosocial differences and consider the economic deprivation of the region

Developmental psychology · Empathy · Environmental health · Injury prevention · Logistic regression · Poison control · Population · Psychiatry · Psychosocial · Socioeconomic status · Bullying, Victimization, and Aggression · Child and Adolescent Psychosocial and Emotional Development · Child Development and Digital Technology · Clinical Psychology · Medicine · Psychology · Social Psychology

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