Exploring the interrelatedness of risk factors for child maltreatment: A network approach

Vial, Annemiek; Put, Claudia E. van der; Stams, Geert Jan; Kossakowski, Jolanda J; Assink, Mark

doi:10.1016/j.chiabu.2020.104622

Cited by 22 publications

(17 citation statements)

References 34 publications

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“…To examine the interrelatedness of the risk factors for male and female outpatients, statistical networks were created to model the interactions between risk domains. Network analysis is a relatively new method for modeling interactions between variables that is increasingly applied to different disciplines, for example, to explore the interrelatedness of risk factors for child maltreatment ( Vial et al., 2020 ). A network characterizes structures in terms of nodes (the RAF-MH risk domains/factors) and edges (relationships or the partial correlations) that connect these nodes.…”

Section: Methodsmentioning

confidence: 99%

Gender Differences Between Domestic Violent Men and Women: Criminogenic Risk Factors and Their Association With Treatment Dropout

Bijlsma

Put

Vial

et al. 2021

J Interpers Violence

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Although many studies have concluded that men and women engage in domestic violence at equal levels, existing studies have hardly focused on gender specific risk factors for domestic violence perpetration. Therefore, this study aimed to examine gender differences in criminogenic risk factors between Dutch male and female forensic outpatients who were referred to forensic treatment for domestic violence. Clinical structured assessments of criminogenic risk factors were retrieved for 366 male and 87 female outpatients. Gender differences were not only found in the prevalence and interrelatedness of criminogenic risk factors, but also in associations between criminogenic risk factors and treatment dropout. In men, risk factors related to the criminal history, substance abuse, and criminal attitudes were more prevalent than in women, whereas risk factors related to education/work, finances, and the living environment were more prevalent in women. Further, having criminal friends, having a criminal history, and drug abuse were associated with treatment dropout in men, whereas a problematic relationship with family members, housing instability, a lack of personal support, and unemployment were associated with treatment dropout in women. Finally, network analyses revealed gender differences in risk factor interrelatedness. The results provide important insights into gender specific differences in criminogenic risk factors for domestic violence, which support clinical professionals in tailoring treatment to the specific needs of male and female perpetrators of domestic violence.

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Section: Methodsmentioning

confidence: 99%

Gender Differences Between Domestic Violent Men and Women: Criminogenic Risk Factors and Their Association With Treatment Dropout

Bijlsma

Put

Vial

et al. 2021

J Interpers Violence

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“…Risk factors for the maltreatment of children at individual and household levels have been identified by previous studies, which include gender, socioeconomic level, family structure and parents' characteristics (Vial et al, 2020;Tran et al, 2021).…”

Section: Risk Factors Of Child Maltreatmentmentioning

confidence: 99%

Prevalence of Child Maltreatment during the COVID-19 Pandemic: A Cross-sectional Survey of Rural Hubei, China

Zhang

Shi

et al. 2021

The British Journal of Social Work

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The impact of lockdown measures in Wuhan, China during the coronavirus disease 2019 pandemic on child maltreatment remains unknown. The present study attempted to estimate the prevalence of child maltreatment during this period, to identify risk factors, and the influence of child maltreatment. A representative sample of 1,062 school-aged children in rural Hubei province was surveyed. Results indicated that the prevalence of family violence, physical violence, emotional abuse and neglect during the lockdown period were 13.9, 13.7, 20.2 and 7.3 percent, respectively, and that of lifetime prevalence were 17.0, 13.9, 14.6 and 6.9 percent, respectively. And most victims did not seek official help. Boys were more likely to experience physical violence. Children from separated/divorced families tended to report more emotional abuse. Those having family members with a history of drug abuse and mental illness were more likely to experience neglect during the lockdown period. All types of child maltreatment were positively associated with self-harm behaviours. These findings highlight the importance of identifying at-risk children immediately and implementing timely intervention programmes to prevent self-harm behaviours for social workers and health professionals.

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“…Een veelbelovende methode om meer zicht te krijgen op de complexiteit van interacties tussen risicofactoren is netwerkanalyse (Borsboom & Cramer, 2013). Deze statistische techniek is recentelijk voor het eerst toegepast op risicofactoren voor kindermishandeling (Vial, Van der Put, Stams, Kossakowski, & Assink, 2020) 64; Schwalbe, 2007). De risicofactoren die onderdeel zijn van de hier ontwikkelde risico-indeling bestaan uit demografische, sociaaleconomische en juridische factoren die betrekking hebben op het kind, de ouders en het gezin.…”

Section: Discussieunclassified

Vroegsignalering van het risico op intensieve jeugdhulp voor preventieve doeleinden

et al. 2020

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Exploring the interrelatedness of risk factors for child maltreatment: A network approach

Cited by 22 publications

References 34 publications

Gender Differences Between Domestic Violent Men and Women: Criminogenic Risk Factors and Their Association With Treatment Dropout

Gender Differences Between Domestic Violent Men and Women: Criminogenic Risk Factors and Their Association With Treatment Dropout

Prevalence of Child Maltreatment during the COVID-19 Pandemic: A Cross-sectional Survey of Rural Hubei, China

Vroegsignalering van het risico op intensieve jeugdhulp voor preventieve doeleinden

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