Domestic Violence Victimization Risk Assessment in Children and Adolescents: A Systematic Review
Abstract
:1. Introduction
2. Risk Assessment: From Conceptualization to the Relevance of a Guided Practice
3. Method
3.1. Search Information
3.2. Search Terms
3.3. Study Selection Criteria
4. Results
4.1. Instruments for Assessing the Impact of Domestic Violence
4.2. Parental Problems and/or Psychopathology as a Risk Factor for the Occurrence of Child Abuse
4.3. Contextual Issues as Risk Factors for the Occurrence of Child Victimization
4.4. Cumulative Familial Risk and Change in Genetic Pattern in Children
4.5. Risk Assessment of Child Homicide
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Almeida, Iris, and Cristina Soeiro. 2010. Avaliação de risco de violência conjugal: Versão para polícias (SARA: PV). Análise Psicológica 28: 179–92. [Google Scholar] [CrossRef]
- Almeida, Telma Catarina, Ana Isabel Sani, and Rui Abrunhosa Gonçalves. 2022. Children exposed to interparental violence: A study of Portuguese children aged 7–9 years. Suma Psicológica 29: 69–76. [Google Scholar] [CrossRef]
- Antunes, Juliana Teixeira, Ísis Eloah Machado, and Deborah Carvalho Malta. 2020. Fatores de risco E proteção relacionados a violência intrafamiliar contra OS adolescentes brasileiros. Revista Brasileira de Epidemiologia 23: 1–13. [Google Scholar] [CrossRef] [PubMed]
- Artz, Sibylle, Margaret A. Jackson, Katherine R. Rossiter, Alicia Nijdam-Jones, István Géczy, and Sheila Porteous. 2014. A comprehensive review of the literature on the impact of exposure to intimate partner violence for children and youth. International Journal of Child, Youth and Family Studies 5: 493–587. [Google Scholar] [CrossRef]
- Baird, Christopher, and Dennis Wagner. 2000. The relative validity of actuarial- and consensus-based risk assessment systems. Children and Youth Services Review 22: 839–71. [Google Scholar] [CrossRef]
- Baldry, Anna C. 2003. Stick and stones hurt my bones but his glance and words hurt more: The impact of psychological abuse and physical violence by current and former partners on battered women in Italy. International Journal of Forensic Mental Health 2: 47–57. [Google Scholar] [CrossRef]
- Barboza, Gina Elise, and Silvia Dominguez. 2017. Longitudinal growth of post-traumatic stress and depressive symptoms following a child maltreatment allegation: An examination of violence exposure, family risk and placement type. Children and Youth Services Review 81: 368–78. [Google Scholar] [CrossRef]
- Bazargan-Hejazi, Shahrzad, Eunjin Kim, Johnny Lin, Alireza Ahmadi, Mojdeh T. Khamesi, and Stacey Teruya. 2014. Risk factors associated with different types of intimate partner violence (IPV): An emergency department study. Journal of Emergency Medicine 47: 710–20. [Google Scholar] [CrossRef]
- Berens, Anne E., Swapna Kumar, Fahmida Tofail, Sarah K. G. Jensen, Masud Alam, Rashidul Haque, Shahria H. Kakon, William A. Petri, and Charles A. Nelson. 2019. Cumulative psychosocial risk and early child development: Validation and use of the Childhood Psychosocial Adversity Scale in global health research. Pediatric Research 86: 766–75. [Google Scholar] [CrossRef]
- Bisagno, Elisa, Alessia Cadamuro, Dierickx Serafine, Bou Mosleh Dima, Groenen Anne, Linde-Ozola Zane, Kandãte Annija, Varga-Sabján Dóra, Morva Dorottya, László Noémi, and et al. 2023. The development of a screening tool for childcare professionals to detect and refer infant and toddler maltreatment and trauma: A tale of four countries. Children 10: 858. [Google Scholar] [CrossRef]
- Bonache, Helena, Rosaura Gonzalez-Mendez, and Barbara Krahé. 2019. Adult attachment styles, destructive conflict resolution, and the experience of intimate partner violence. Journal of Interpersonal Violence 34: 287–309. [Google Scholar] [CrossRef] [PubMed]
- Bonfim, Camila Barreto, Darci Neves Santos, Igor Gomes Menezes, Michael Eduardo Reichenheim, and Mauricio Lima Barreto. 2011. A study on the construct validity of the Parent-Child Conflict Tactics Scale (CTSPC) in an urban population in Northeast Brazil. Cadernos de Saude Publica 27: 2215–26. [Google Scholar] [CrossRef] [PubMed]
- Camasso, Michael J., and Radha Jagannathan. 2000. Modeling the reliability and predictive validity of risk assessment in child protective services. Children and Youth Services Review 22: 873–96. [Google Scholar] [CrossRef]
- Chiesa, Antonia E., Leigh Kallechey, Nicole Harlaar, C. Rashaan Ford, Edward F. Garrido, William R. Betts, and Sabine Maguire. 2018. Intimate partner violence victimization and parenting: A systematic review. Child Abuse and Neglect 80: 285–300. [Google Scholar] [CrossRef] [PubMed]
- Costa, Vânia Aónia, and Ana Isabel Sani. 2007. Sintomatologia de pós-stress traumático em crianças expostas a violência interparental. Revista da Faculdade de Ciências da Saúde 4: 282–90. [Google Scholar]
- Craig, Francesco, Eleonora Mascheroni, Roberto Giorda, Maria Grazia Felline, Maria Grazia Bacco, Annalisa Castagna, Flaviana Tenuta, Marco Villa, Angela Costabile, Antonio Trabacca, and et al. 2021. Exploring the contribution of proximal family risk factors on slc6a4 DNA methylation in children with a history of maltreatment: A preliminary study. International Journal of Environmental Research and Public Health 18: 12736. [Google Scholar] [CrossRef] [PubMed]
- Damashek, Amy, Sabrina Drass, and Barbara L. Bonner. 2014. Child maltreatment fatalities related to inadequate caregiver supervision. Journal of Interpersonal Violence 29: 1987–2001. [Google Scholar] [CrossRef] [PubMed]
- Diamond, Terry, and Robert T. Muller. 2004. The relationship between witnessing parental conflict during childhood and later psychological adjustment among university students: Disentangling confounding risk factors. Canadian Journal of Behavioural Science 36: 295–309. [Google Scholar] [CrossRef]
- Donato, Helena, and Mariana Donato. 2019. Stages for undertaking a systematic review. Acta Médica Portuguesa 32: 227–35. [Google Scholar] [CrossRef]
- Erolin, Kara S., Elizabeth Wieling, and R. Elizabeth Aguilar Parra. 2014. Family violence exposure and associated risk factors for child PTSD in a Mexican sample. Child Abuse and Neglect 38: 1011–22. [Google Scholar] [CrossRef]
- Ferreira, Cleiciara Lúcia Silva, Maria Conceição J. Werneck Côrtes, and Eliane Dias Gontijo. 2019. Promoção dos direitos da criança e prevenção de maus tratos infantis. Ciência and Saúde Coletiva 24: 3997–4008. [Google Scholar] [CrossRef] [PubMed]
- Fitz-Gibbon, Kate, JaneMaree Maher, Jude McCulloch, and Marie Segrave. 2019. Understanding and responding to family violence risks to children: Evidence-based risk assessment for children and the importance of gender. Australian and New Zealand Journal of Criminology 52: 23–40. [Google Scholar] [CrossRef]
- Flander, Gordana Buljan, Renata Ćorić Špoljar, and Domagoj Štimac. 2009. Smetnje doživljavanja i ponašanja kod roditelja kao rizicǎni faktori zlostavljanja djece u obitelji. Suvremena Psihologija 12: 119–33. [Google Scholar]
- Gambrill, Eileen, and Aron Shlonsky. 2001. The need for comprehensive risk management systems in child welfare. Children and Youth Services Review 23: 79–107. [Google Scholar] [CrossRef]
- Grych, John H., and Frank D. Fincham. 1990. Marital conflict and children’ s adjustment: A cognitive-contextual framework. Psychological Bulletin 108: 2–3. [Google Scholar] [CrossRef] [PubMed]
- Hamby, Sherry, David Finkelhor, Heather Turner, and Richard Ormrod. 2010. The overlap of witnessing partner violence with child maltreatment and other victimizations in a nationally representative survey of youth. Child Abuse and Neglect 34: 734–41. [Google Scholar] [CrossRef] [PubMed]
- Hanson, Rochelle F., Shannon Self-Brown, Adrienne E. Fricker-Elhai, Dean G. Kilpatrick, Benjamin E. Saunders, and Heidi S. Resnick. 2006. The relations between family environment and violence exposure among youth: Findings from the national survey of adolescents. Child Maltreatment 11: 3–15. [Google Scholar] [CrossRef] [PubMed]
- Jenney, Angelique, Faye Mishna, Ramona Alaggia, and Katreena Scott. 2014. Doing the right thing? (Re)Considering risk assessment and safety planning in child protection work with domestic violence cases. Children and Youth Services Review 47: 92–101. [Google Scholar] [CrossRef]
- Jongenelen, Inês, Diogo Lamela, and Carla Antunes. 2020. Crianças expostas a violência nas relações íntimas. In A prática Profissional da Psicologia na Justiça. Edited by Ricardo Barroso and David Dias Neto. Lisboa: Ordem dos Psicólogos, pp. 256–69. [Google Scholar]
- Kearney, Aubrey D., Elisabeth S. Wilson, Dana M. Hollinshead, Michael Poletika, Heather H. Kestian, Terry J. Stigdon, Eric A. Miller, and John D. Fluke. 2023. Child welfare triage: Use of screening threshold analysis to evaluate intake decision-making. Children and Youth Services Review 144: 106710. [Google Scholar] [CrossRef]
- Landis, J. Richard, and Gary G. Koch. 1977. The measurement of observer agreement for categorical data. Biometrics 33: 159–74. [Google Scholar] [CrossRef]
- Lv, Hui, and Haomiao Li. 2023. Association between exposure to domestic violence during childhood and depressive symptoms in middle and older age: A longitudinal analysis in China. Behavioral Sciences 13: 311. [Google Scholar] [CrossRef]
- Maia, Angela Costa, and Maíra Barreto. 2012. Violência contra crianças e adolescentes no Amazonas: Análise dos registros. Psicologia em Estudo 17: 195–204. [Google Scholar] [CrossRef]
- Malta, Deborah Carvalho, Juliana Teixeira Antunes, Rogério Ruscitto Prado, Ada Ávila Assunção, and Maria Imaculada Freitas. 2019. Fatores associados aos episódios de agressão familiar entre adolescentes, resultados da Pesquisa Nacional de Saúde do Escolar (Pense). Ciência & Saúde Coletiva 24: 1287–98. [Google Scholar] [CrossRef]
- Marcos, Verónica, Dolores Seijo, Álvaro Montes, and Ramón Arce. 2023. Prevalence and quantification of the effects of sexual harassment victimization of school-aged adolescents. Children 11: 23. [Google Scholar] [CrossRef]
- Miyamoto, Sheridan, Patrick S. Romano, Emily Putnam-Hornstein, Holly Thurston, Madan Dharmar, and Jill G. Joseph. 2017. Risk factors for fatal and non-fatal child maltreatment in families previously investigated by CPS: A case-control study. Child Abuse and Neglect 63: 222–32. [Google Scholar] [CrossRef]
- Morais-Gonçalves, Daniela, Sara Lopes-Borges, and Helena Gaspar. 2018. Reincidência, fatores de risco e avaliação de risco em vítimas de violência doméstica. Trabajo Social Global-Global Social Work 8: 78–113. [Google Scholar] [CrossRef]
- Navarro-Pérez, José-Javier, Paula Samper, Patricia Sancho, Sylvia Georgieva, Ángela Carbonell, and Maria-Vincenta Mestre. 2023. Development and content validation of a comprehensive tool for assessing risk and protective factors in children and adolescents: The ACRAM. Children and Youth Services Review 145: 106761. [Google Scholar] [CrossRef]
- Olszowy, Laura, Peter G. Jaffe, Marcie Campbell, and Leslie Haze Anne Hamilton. 2013. Effectiveness of risk assessment tools in differentiating child homicides from other domestic homicide cases. Journal of Child Custody 10: 185–206. [Google Scholar] [CrossRef]
- Øverlien, Carolina. 2011. Abused women with children or children of abused women? A study of conflicting perspectives at women’s refuges in Norway. Child and Family Social Work 16: 71–80. [Google Scholar] [CrossRef]
- Page, Matthew J., David Moher, Patrick M. Bossuyt, Isabelle Boutron, Tammy C. Hoffmann, Cynthia D. Mulrow, Larissa Shamseer, Jennifer M. Tetzlaff, Elie A. Akl, Sue E. Brennan, and et al. 2021. Prisma 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ 371: n160. [Google Scholar] [CrossRef]
- Pesce, Renata. 2009. Violência familiar e comportamento agressivo e transgressor na infância: Uma revisão da literatura. Ciência & Saúde Coletiva 14: 507–18. [Google Scholar] [CrossRef] [PubMed]
- Portugal. 2021. Law nº 57/2021, de 16 de Agosto. Alarga a Proteção das Vítimas de Violência Doméstica, Alterando a Lei n.º112/2009, de 16 de Setembro, o Código Penal e o Código de Processo Penal. Série I. Diário da República nº 158/2021. Lisboa: Assembleia da República, pp. 6–13. Available online: https://data.dre.pt/eli/lei/57/2021/08/16/p/dre (accessed on 8 May 2024).
- Reif, Katherine, and Peter Jaffe. 2021. Risk factors and agency involvement associated with children present in domestic homicides. Journal of Child and Family Studies 30: 591–602. [Google Scholar] [CrossRef]
- Sani, Ana Isabel. 2006. Vitimação indirecta de crianças em contexto familiar. Análise Social XLI: 849–64. Available online: http://analisesocial.ics.ul.pt/documentos/1218722582J2vZM0qb0Xf05ZG5.pdf (accessed on 8 May 2024).
- Sani, Ana Isabel. 2018. Exposição da criança à violência doméstica: (Re)conhecimento e (re)ação atuais. In Violência Doméstica e de Género: Uma Abordagem Multidisciplinar, 1st ed. Lisboa: Pactor, p. 81. [Google Scholar]
- Sani, Ana Isabel. 2019. Violência sobre as crianças em contexto doméstico: Da dimensão do problema à resposta social. In Criminologia e Reinserção Social. Edited by Fausto Amaro and Dália Costa. Lisboa: Pactor, pp. 161–75. [Google Scholar]
- Sani, Ana Isabel. 2020. Maus tratos infantis: Da abrangência e especificidades concetuais aos desafios para a avaliação e prevenção do fenómeno. In A Prática Profissional da Psicologia na Justiça. Edited by Ricardo Barroso and David Dias Neto. Lisboa: Ordem dos Psicólogos, pp. 183–95. [Google Scholar]
- Sani, Ana Isabel, and Ana Isabel Lopes. 2018. Police intervention in cases of violence against women and their exposed children. In Violence against Women: Global Perspectives, Challenges and Issues of 21st Century. Edited by M. Guggisberg and Henricksen. Hauppauge: Nova Science Publishers, Inc., pp. 211–35. [Google Scholar]
- Sani, Ana Isabel, and Ana Isabel Lopes. 2019. Children’s multiple violence exposure: Risk assessment, impacts and intervention. In Violence Exposure: Perspectives, Gender Differences and Outcomes. Edited by S. Aideen Xu. Hauppauge: Nova Science Publishers, pp. 79–99. [Google Scholar]
- Sani, Ana Isabel, and Dora Pereira. 2020. Mothers victims of intimate partner violence: The decision to leave or stay and the resilience-oriented intervention. Social Sciences 9: 174. [Google Scholar] [CrossRef]
- Sani, Ana Isabel, and Renata Benavente. 2021. Violência em relações de intimidade. In Laura Nunes and Sani, Ana. 2021. In Manual de Criminologia e Vitimologia. Parte II—Vitimologia. Lisboa: Pactor, pp. 60–67. [Google Scholar]
- Sani, Ana Isabel, Daniela Bastos, and Maria Alzira Pimenta Dinis. 2021. Child and adolescent multiple victimization and/or polyvictimization: A Portuguese comparative study. Societies 11: 120. [Google Scholar] [CrossRef]
- Sá, Daniel Graça, Bartira Marques Curto, Isabel Altenfelder Bordin, and Cristiane Silvestre de Paula. 2009. Exposição à violência como risco para o surgimento ou a continuidade de comportamento antissocial em adolescentes da região metropolitana de São Paulo. Psicologia: Teoria e Prática 11: 179–88. Available online: http://pepsic.bvsalud.org/scielo.php?script=sci_arttext&pid=S1516-36872009000100015 (accessed on 8 May 2024).
- Shlonsky, Aron, and Colleen Friend. 2007. Double jeopardy: Risk assessment in the context of child maltreatment and domestic violence. Brief Treatment and Crisis Intervention 7: 253–74. [Google Scholar] [CrossRef]
- Sičić, Martina, and Lana Mužinić. 2007. Faktori rizika kod pojave samoozljeđivanja djece i mladih. Ljetopis Socijalnog Rada 15: 49–69. [Google Scholar]
- Sidebotham, Peter, and Jon Heron. 2006. Child maltreatment in the “children of the nineties”: A cohort study of risk factors. Child Abuse and Neglect 30: 497–522. [Google Scholar] [CrossRef]
- Skivenes, Marit, and Hanne Stenberg. 2015. Risk assessment and domestic violence - how do child welfare workers in three countries assess and substantiate the risk level of a 5-year-old girl? Child and Family Social Work 20: 424–36. [Google Scholar] [CrossRef]
- Soares, Liliana, and Ana Isabel Sani. 2016. O impacto da exposição à violência interparental nas crianças: Variáveis mediadoras. Revista de Psicologia da Criança e do Adolescente 7: 57–71. Available online: http://revistas.lis.ulusiada.pt/index.php/rpca/article/view/2399 (accessed on 8 May 2024).
- Stanley, Nicky, and Cathy Humphreys. 2014. Multi-agency risk assessment and management for children and families experiencing domestic violence. Children and Youth Services Review 47: 78–85. [Google Scholar] [CrossRef]
- Stanley, Nicky, Pam Miller, and Helen Richardson Foster. 2012. Engaging with children’s and parents’ perspectives on domestic violence. Child and Family Social Work 17: 192–201. [Google Scholar] [CrossRef]
- Stoltenborgh, Marije, Marian J. Bakermans-Kranenburg, Lenneke R. A. Alink, and Marinus H. van Ijzendoorn. 2015. The prevalence of child maltreatment across the globe: Review of a series of meta-analyses. Child Abuse Review 24: 37–50. [Google Scholar] [CrossRef]
- Terelak, Albert, Sebastian Kołodziejczak, and Marek Bulsa. 2019. Scale and forms of domestic violence against schoolchildren in rural, rural-urban and urban areas. Annals of Agricultural and Environmental Medicine 26: 572–78. [Google Scholar] [CrossRef]
- van der Put, Claudia E., Mark Assink, and Noëlle F. Boekhout van Solinge. 2017. Predicting child maltreatment: A meta-analysis of the predictive validity of risk assessment instruments. Child Abuse & Neglect 73: 71–88. [Google Scholar] [CrossRef] [PubMed]
- van der Stouwe, Trudy, Patty Leijten, Bonne J. H. Zijlstra, Jessica J. Asscher, Maja Deković, and Claudia E. van der Put. 2023. The added value of targeting specific risk factors for child maltreatment in an evidence-based home visitation program: A repeated single-case time series study. International Journal Child Maltreatment: Research, Policy and Practice 6: 35–58. [Google Scholar] [CrossRef]
- Vial, Annemiek, Claudia van der Put, Geert Jan J. M. Stams, Jolanda Kossakowski, and Mark Assink. 2020a. Exploring the interrelatedness of risk factors for child maltreatment: A network approach. Child Abuse and Neglect 107: 104622. [Google Scholar] [CrossRef]
- Vial, Annemiek, Mark Assink, Geert J. J. M. Stams, and Claudia van der Put. 2020b. Safety assessment in child welfare: A comparison of instruments. Children and Youth Services Review 108: 104555. [Google Scholar] [CrossRef]
- Vu, Nicole L., Ernest N. Jouriles, Renee McDonald, and David Rosenfield. 2016. Children’s exposure to intimate partner violence: A meta-analysis of longitudinal associations with child adjustment problems. Clinical Psychology Review 46: 25–33. [Google Scholar] [CrossRef]
- World Health Organization [WHO]. 2022. Responding to Child Maltreatment: A Clinical Handbook for Health Professionals. WHO. Available online: https://www.who.int/publications/i/item/9789240048737 (accessed on 8 May 2024).
- Ximenes, Liana Furtado, Raquel Oliveira, and Simone Gonçalves Assis. 2009. Violência e transtorno de estresse pós-traumático na infância. Ciência & Saúde Coletiva 14: 417–33. [Google Scholar] [CrossRef] [PubMed]
Articles | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | Total |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Berens et al. (2019) | 2 | 2 | 1 | 2 | 2 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 2 | 23 High |
Bonfim et al. (2011) | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 25 High |
Craig et al. (2021) | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 26 High |
Diamond and Muller (2004) | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 25 High |
Erolin et al. (2014) | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 24 High |
Flander et al. (2009) | 1 | 2 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 1 | 2 | 2 | 21 Average |
Miyamoto et al. (2017) | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 24 High |
Olszowy et al. (2013) | 1 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 24 High |
Reif and Jaffe (2021) | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 25 High |
Sičić and Mužinić (2007) | 0 | 2 | 2 | 1 | 1 | 1 | 2 | 2 | 2 | 1 | 2 | 2 | 1 | 19 Average |
Sidebotham and Heron (2006) | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 26 High |
Terelak et al. (2019) | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 24 High |
Vial et al. (2020a) | 1 | 2 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 22 High |
Author(s) (Year) | Objective(s) | Sample | Method/Instruments | Results and Main Conclusions |
---|---|---|---|---|
Berens et al. (2019) | Describe the development and validity of the Childhood Psychosocial Adversity Scale (CPAS), which measures cumulative risk. The CAPS was designed to predict levels of early childhood cognitive development (ECD). | Recruited through two longitudinal birth cohorts of mother–child dyads: PROVIDE e Crypto. A subset was randomly selected. Recruitment for both cohorts was performed through visits to the homes of all pregnant women. Participants in the development of the instrument were recruited by inviting all individuals who showed up for scheduled appointments to complete the questionnaire (capturing children aged 18, 24, 48 and/or 60 months). | Participant Selection Questionnaire; Semi-structured interviews (n = 20, including 10 with mothers and 10 with field workers) and Focus Group (n = 8, each with 10 participants); Cognitive Interview for the Pre-Test; Depression Scale (EPDS) and Multidimensional Perceived Social Support Scale (MPSS). | The CPAS is a comprehensive measure of childhood psychosocial adversity designed for implementation and validation in global health settings. The data confirmed its usefulness as a research tool that assesses psychosocial risk factors in early childhood in relation to development among children. |
Bonfim et al. (2011) | To study the factorial structure of the CTSPC scales in an urban population sample from the Brazilian Northeast. | 1370 children from Salvador da Bahia. (53.4% boys; n = 731 and 46.6% girls; n = 639) Child’s age (4–7 years; M = 7.1; SD = 1.7) Age of mothers (18–56 years; M = 32.1; SD = 6.7). | Parent–Child Conflict Tactics Scale (CTSPC). | The factor analysis in this study revealed items that present high factor loadings in the respective scales and others that were different from the original. The results revealed that DV against children is part of a phenomenon that can be interpreted and evaluated in very different ways, with this result proved by the differences in how the factors were organized in this study in relation to the original or other studies. |
Craig et al. (2021) | To examine the direct effects between cumulative familial risk and altered DNA patterns, specifically the SLC6A4 gene, and indirect effects between cumulative familial risk and the number of maltreatment experiences and altered DNA patterns and the SLC6A4 gene. To analyze the cumulative familial risk index in explaining DNA mutation patterns in abused children. | 33 Children (20 female; 13 male aged between 8 months and 15 years: M = 8.26, SD = 3.63), with a history of abuse recruited from the Clinical Unit of Abuse of the IRCCS Scientific Institute “Eugenio Medea” from Brindisi (Italy). All participants were hosted in an Institution by the Juvenile Justice System. | Saliva sample for epigenetic analysis; Assessment of the Cumulative Family Risk Index (CFR); Maltreatment Classification System (MCS) to assess individual child maltreatment experiences and the type of maltreatment suffered. | In children with a history of maltreatment, the severity of family risk factors and multiple experiences of maltreatment contributed directly to, at least partially, explaining the level of DNA mutation, which may be affected by a combination of direct variables (maltreatment treatment in childhood) and proximal factors (close family risk factors). The strongest predictor regarding DNA mutation was the CFR index (cumulative familial risk index). Children’s age was also a significant predictor of DNA mutation. This study added new evidence of how the family environment can become biologically embedded through epigenetic changes, revealing that these changes remain even after children are removed from their caregivers and placed in foster care, suggesting that familial risk factors play a critical role in causing DNA mutation in children. |
Diamond and Muller (2004) | To examine in detail the association between witnessing DV and long-term psychological adjustment. | 351 young adults (287 women and 64 men) between 16 and 24 years old. | Sociodemographic questionnaire; Young Adult Self-Report (YARS), a self-report questionnaire with 110 items that measure emotional and behavioral problems and 14 items that measure socially desirable characteristics; Trauma Symptom Checklist-40 (TSC-40), a 40-item self-report questionnaire that assesses adult symptomatology resulting from traumatic experiences; Record of Maltreatment Experiences, self-report (ROME), retrospective measure of victimization occurring up to 17 years of age. | Children who witnessed ‘minor’ psychological DV demonstrated significantly less internalizing behaviors than those who witnessed physical DV, as well as those who witnessed ‘major’ psychological DV. Witnessing DV of a physical or psychological nature was correlated with higher levels of psychopathology, including PTSD symptomatology; this was more significant when the perpetrator of violence was the mother, being more associated with internalizing behaviors, both for male and female victims. When total PTSD symptoms were analyzed, results indicated that the father’s psychological DV towards the mother emerged as the only significant predictor of PTSD symptoms for male victims, while psychological abuse perpetrated by the mother emerged as a significant predictor of symptoms of PTSD for women. |
Erolin et al. (2014) | Understanding causes and effects of post-traumatic stress disorder in children and families in Mexico: (a) examine individual and family characteristics of mother-child dyads in the presence/absence of PSTD and (b) potential ecological and familial risk factors for the presence of the disturbance. | 87 mother-child dyads (50 boys and 37 girls). Mother’s Age (24–50 years; M = 35.1; SD = 6.6). Child’s age (7–14 years; M = 10.2; SD = 2.1). | UCLA PTSD, assessing the exposure of children aged 7–18 to trauma and PTSD symptoms; Post-traumatic Stress Diagnostic Scale (PDS), to assess exposure to trauma and PTSD symptoms in mothers; Composite Abuse Scale (CAS), to assess exposure to intimate partner violence. | 58.8% of children reported at least 1 event that met DSM-V criteria for PTSD for different episodes of violence across their lifetime. In relation to DV, 87.4% of children were exposed to one or more forms of violence. The results indicate that the factor relating to the child’s exposure to family violence throughout their life increases the risk of developing childhood PTSD. Children who live in environments characterized by high levels of violence, both family and community, were at a high risk of PTSD and/or the exacerbation of ongoing disorders. Furthermore, cultural factors reveal a great influence on the expression and meaning of trauma symptoms in individuals. |
Flander et al. (2009) | To analyze the relationship between the incidence of child abuse in families and parental behavioral disorders. | 4191 high school graduates from Croatian schools (M = 18.13 years). | General questionnaire (sociodemographic data); Questionnaire on child abuse (Karloviÿ 2001) according to the Comprehensive Child Maltreatment Scale for Adults (Higgins and McCabe 2000); Emotional and Social Loneliness Scale (ÿubela Adoriÿ 2004). | Mental illness and parental alcoholism represent risk factors for the occurrence of different forms of child abuse. Participants reporting this type of disorder in at least one parent were more exposed to physical, emotional and sexual abuse and neglect. The study also revealed that participants who reported that at least one of their parents suffered from these disorders had much more significant feelings of family loneliness than those whose parents did not have disorders. |
Miyamoto et al. (2017) | Identify individual, family and child caregiver risk factors for serious child abuse, resulting in hospitalization or death, among children and their families investigated by Child Protection Services. | 234 cases of children who suffered fatal or serious non-fatal abuse (702 children and their caregivers). | Case-control study of Child Protective Services (CPS) Database analyzed using the Structured Decision-Making Risk Tool®. | Caregiver involvement in IPV, identified in research before the index maltreatment event, was associated with significantly lower odds of a subsequent serious child maltreatment event. This fact can be explained by the increased recognition and response to IPV by CPS and law enforcement authorities over the last two decades. The system’s response to IPV may effectively remove the perpetrator through arrest or restraining order, or it may mitigate the risk by requiring participation in diversion programs or placing children in protective custody. These responses can protect children from the serious outcomes of maltreatment. |
Olszowy et al. (2013) | Examined the utility of applying commonly used risk assessment tools to child homicide cases to determine whether they would be a valuable resource in identifying high-risk cases. | 40 cases of domestic homicide. | Danger Assessment (DA); Ontario Domestic Assault Risk Assessment (ODARA); Spousal Assault Risk Assessment (SARA). | The results of this study did not indicate significant differences between cases of child and non-child homicide (adult homicide) for the three risk assessment instruments. This result suggested that children living with a female intimate partner may also be considered at risk of lethality if a risk assessment indicates that the female intimate partner is at high risk. |
Reif and Jaffe (2021) | Identify the risk of child homicide in the context of DV. | 140 cases of domestic homicide. | Ontario Domestic Violence Death Review Committee (DVDRC) Database analyzed through DVDRC risk factor coding form. | In addition to recognizing the risk that children presented when mothers were at risk, professionals who work with families experiencing DV must also be aware of the increased risk posed to children when risk factors were identified, regardless of whether or not obvious forms of mistreatment. Identifying these child-specific risk factors would justify timely risk assessment, risk management, and safety planning practices with families experiencing DV, as these practices play a vital role in reducing their exposure to the associated risk. to DV and the prevention of domestic homicides. |
Sičić and Mužinić (2007) | Determine how frequently the risk factors studied were present in adolescents who self-harm. | 26 adolescents who were hospitalized or treated at the day inpatient service at the Children’s and Youth Psychiatric Hospital. | Specially designed questionnaire containing psychiatric, social, basic sociodemographic characteristics and other important characteristics of the interviewees. | The research results showed that family dynamics, interpersonal relationships, material circumstances and other risk factors influenced the normal and healthy development of an individual and that, in the absence of the above, several disorders can develop in a young person. |
Sidebotham and Heron (2006) | Analyze the multiple factors that affect the risk of maltreatment in young children within a comprehensive theoretical framework. | Of the 14,893 mothers who enrolled, taking into account fetal or early childhood loss and attrition, a total of 14,256 children were followed beyond infancy. | A series of prenatal and postnatal questionnaires. | Reported DV showed a clear association with child maltreatment. However, the relationship did not persist after being introduced into the logistic regression model. This may suggest that both DV and child maltreatment have a similar relationship with family structures and other background factors, and that DV should be viewed as both an adverse outcome and a risk in itself. Although the importance of the association between DV and child maltreatment is not denied, this may be a reflection of underlying risk factors common to both, rather than a direct causal relationship. |
Terelak et al. (2019) | Determine the extent of DV against school-age children and youth in different types of communities. | Last class of students from primary and secondary schools in three communities in the province of Western Pomerania, Poland. | The research concept adopted was carried out using the audit questionnaire interview technique, based on previous research, to measure the social scale of DV suffered by school-age children. | The co-occurrence of three or more forms of violence in the family environment seemed to reveal cumulative symptoms of a pathological family life, putting the health and even the lives of DV victims at risk. |
Vial et al. (2020a) | This study explored the interrelationship of risk factors for child maltreatment. | Children who were referred to child protective services (high risk of maltreatment) and children who were referred to community services (lower risk of maltreatment). | Actuarial Risk Assessment Instrument Youth Protection (ARIJ). | A cross-sample network was constructed to examine the interrelationships between child maltreatment risk factors in both samples. This strongly interrelated network revealed positive relationships between all factors that were part of the network. Two distinct groups of factors could be identified in this network: (1) a group of particularly static risk factors and (2) a group of risk factors related to DV. The risk factors “History of DV”, “Emotionally absent caregiver” and “Caregiver abused as a child” were the most central risk factors. |
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Cunha, D.R.R.; Leitão, M.E.; Sani, A.I. Domestic Violence Victimization Risk Assessment in Children and Adolescents: A Systematic Review. Soc. Sci. 2024, 13, 259. https://doi.org/10.3390/socsci13050259
Cunha DRR, Leitão ME, Sani AI. Domestic Violence Victimization Risk Assessment in Children and Adolescents: A Systematic Review. Social Sciences. 2024; 13(5):259. https://doi.org/10.3390/socsci13050259
Chicago/Turabian StyleCunha, Daniela Rita Ribeiro, Maria Emília Leitão, and Ana Isabel Sani. 2024. "Domestic Violence Victimization Risk Assessment in Children and Adolescents: A Systematic Review" Social Sciences 13, no. 5: 259. https://doi.org/10.3390/socsci13050259
APA StyleCunha, D. R. R., Leitão, M. E., & Sani, A. I. (2024). Domestic Violence Victimization Risk Assessment in Children and Adolescents: A Systematic Review. Social Sciences, 13(5), 259. https://doi.org/10.3390/socsci13050259