Background: Callous-unemotional traits have been proposed as risk factors for a poorer prognosis in young people with disruptive behaviour disorders. Identification of factors that may cause or maintain elevated levels of such traits could help in developing targeted therapeutic interventions. Some previous studies have investigated the role of moral cognitive mechanisms, such as moral disengagement, but these previous studies focused primarily on normal or 'at-risk' samples.
Aim: We aimed to evaluate associations and possible interactions between moral disengagement as a cognitive dimension and callous-unemotional traits as an affective dimension in adolescents with disruptive behaviour disorders.
Method: We recruited 55 adolescents with a disruptive behaviour disorder from a community care hospital in Pisa. They were evaluated at baseline and after one year with measures that included a moral disengagement scale, the Antisocial Process Screening Device, to assess callous traits, and the Youth Self-Report, to explore externalising behaviour problems.
Results: Structural equation modelling showed that higher initial moral disengagement scores were associated with later higher levels of callous-unemotional traits in adolescents and vice versa, even after, respectively, controlling for previous levels of callous traits and moral disengagement.
Conclusion: As impairments in either cognitive or affective traits may predispose to problematic development of the other, our findings would suggest that screening at the earliest opportunity possible for both moral disengagement and callous-unemotional traits among children with disruptive behaviour disorders could help to map natural outcome pathways and thus tailor more accurate interventions for prevention of antisocial or criminal behaviour. Copyright © 2016 John Wiley & Sons, Ltd.
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http://dx.doi.org/10.1002/cbm.2019 | DOI Listing |
Sci Rep
January 2025
Chinese Academy of Education Big Data, Qufu Normal University, Qufu, Shandong, China.
The rapid growth of internet usage has led to increased cyberbullying among adolescents, with varying rates reported across countries. This study aimed to investigate the impact of cyber moral literacy on cyberbullying among late adolescents, examining both the mediating role of moral disengagement and the moderating effect of guilt on the relationship between cyber moral literacy and cyberbullying. Data were collected from 7837 late adolescent students (aged 18-21 years) at four universities in Sichuan Province, China.
View Article and Find Full Text PDFScand J Psychol
January 2025
Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark.
The concept of social invisibility describes the devaluation of the perceived social and personal worth of an individual. This paper presents the theoretical foundation for this construct, and the development and validation of the "Invisibility Scale" capturing experiences of and needs for social (in)visibility within (i) intimate, (ii) legal, and (iii) communal relations. We developed and validated the Invisibility Scale in two studies.
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December 2024
National Cancer Control Institute, National Cancer Center, Goyang, 10408, Republic of Korea.
This study investigated the relationships among exposure to risky online content, moral disengagement, media literacy, and cyberaggression in adolescents (aged 13-15 years). Data were obtained from the 2021 Cyber Violence Survey (N = 3,002) conducted by a national agency in the Republic of Korea using systematic stratified sampling. The survey assessed eight aggressive online behaviors as indicators of cyberaggression: verbal violence, defamation, stalking, sending provocative content, personal information leakage, bullying, extortion, and coercion.
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January 2025
Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study used the light gradient boosting machine (LightGBM) to identify and rank the importance of various risk and protective factors in cyber-aggression.
View Article and Find Full Text PDFJ Sch Psychol
December 2024
School of Social Work, Wayne State University, Detroit, USA; Department of Social Welfare, Ewha Womans University, Seoul, South Korea.
Numerous empirical studies have contributed to the understanding of factors connected to students' bystander behaviors in peer victimization situations. Nevertheless, a crucial gap remains concerning the scarcity of longitudinal studies. Drawing on social cognitive theory, the present study examined whether moral disengagement and defender self-efficacy predicted bystander behaviors a year later.
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