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Article

Predicting the Risk of Re-Offending in Child-to-Parent Violence Using the Structured Assessment of Violence Risk in Youth

by
Elena Ortega-Campos
,
Leticia De la Fuente-Sánchez
,
Flor Zaldívar-Basurto
,
Mery Estefanía Buestán-Játiva
and
Juan García-García
*
Health Research Center (CEINSA), University of Almería, 04120 Almería, Spain
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(22), 2952; https://doi.org/10.3390/healthcare11222952
Submission received: 2 October 2023 / Revised: 26 October 2023 / Accepted: 9 November 2023 / Published: 12 November 2023
(This article belongs to the Special Issue Adolescent-to-Parent Violence: Psychological and Contextual Influences)
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Abstract

:
Child-to-parent violence occurs when children engage in violent behaviour towards family members; the principal victim is often the mother. The risk assessment instruments used to identify the risk and protective factors in youth offenders who perpetrate child-to-parent violence are not specific to this type of offense. This study aims to describe the child-to-parent violence group in relation to the risk and protective factors they present in comparison with the group of young people who committed an assault offence. The sample for this study consists of two groups of youth offenders. The first group committed child-to-parent violence, and the second group has committed a violent crime against individuals to whom they are not related. Young people who commit child-to-parent violence have higher scores on the SAVRY risk factors and lower scores on the SAVRY protective factor than young people who have committed an assault offence. The results reveal the importance of identifying the risk and protective factors presented by youth offenders who commit child-to-parent violence in order to create specific intervention programs for the needs and strengths presented by this group of young people.

1. Introduction

Child-to-parent violence (CPV) is a form of intrafamily violence defined as the set of repeated behaviours of physical, psychological, and financial violence carried out by children towards their parents or those performing the parental role [1,2]. Estimates of the worldwide prevalence of CPV span the range of 5–21%. Specifically, in relation to verbal, psychological, and emotional CPV, the incidence rises to 22–93% [3,4]. In Spain last year, a total of 4332 investigations were opened against young people aged 14–18 for violence within the family [5]. Despite the number of investigations opened each year in Spain for this offence, only the most serious cases, representing around 10–15% of the total, are reported [6,7]. The hidden numbers for CPV that do not appear in official statistics are very considerably in excess of the number of formal reports made for this offence [8], being so frequent that other channels of intervention outside the judicial circuit are used.
The family problem of child-to-parent violence has been ignored for many years, due in large part to the silence of the families affected [9]. Parents who are attacked by their children find it difficult to ask for help because they fear reprisals, feel shame or fear, or think they are themselves to blame. The denial or minimisation of the actions of children towards their parents is one of the principal limitations in addressing CPV because it is rendered all the more invisible. Parents are in an ambivalent situation in which they are the victims of abuse perpetrated by their children and, at the same time, they protect their children. This once again means that this form of violence is relegated to the private family domain [8,9].
Violence perpetrated by children towards their parents affects the integration of young people and their families in society, generates negative effects in different areas of life for parents, and increases the likelihood that children will go down a path of offending [10]. Given the prevalence of CPV and the consequences of these behaviours for both parents and their children, it is essential to study the young people who exhibit these behaviours and provide specialist interventions for them [11,12].
The approach to criminal antisocial behaviour focuses on evaluation and intervention in relation to the risk and protective factors presented by a young offender, on the basis of Andrews and Bonta’s [13] Risk, Need, and Responsivity (RNR) Model. Different studies have confirmed that young people who perpetrate CPV have different patterns and dynamics relative to young people who engage in antisocial conduct that constitutes different types of offence [11,14,15,16]. The existence of specific factors associated with CPV has been key to investigations into the criminological profile of CPV offending, which has advanced the prevention of and intervention in CPV [3,17,18,19]. The principal risk factors seen in young people who have engaged in CPV behaviours can be grouped into three blocks: individual, family, and social factors [6,20,21,22].
The most notable factors in the individual block are psychological distress, negative self-concept, low self-esteem, high impulsivity, high aggressivity, an external locus of control, low academic performance, an evasive problem-solving style, a negative attitude towards problems, behavioural problems, substance use, psychopathological or clinical symptoms, and having been a victim of abuse [19,23,24,25,26,27].
Among factors related to the family, those that stand out are a permissive and/or inattentive style of parenting, violence between parents, frequent family conflict, problems associated with parents, and victimisation of the child in conflict [17,18,28,29]. Conversely, in the social factor block, the factors considered significant in CPV are acceptance of violent social attitudes, relationships with peers with behavioural problems who attack their own parents, having been a victim of bullying at school, and inappropriate and abusive use of information technology (social media) [30,31,32,33]. Finally, researchers have considered the protective factors associated with CPV, most notably the existence of prosocial plans for the future, social and family support, open family communication, an indulgent style of parenting (emotional care and loving warmth), and perceived social resources [31,34,35,36].
In studies undertaken to learn about and understand the phenomenon of CPV, it is important to be mindful of the characteristics of the selected sample. Studies may focus on young people drawn from the general population, clinical samples, or young people who have been reported for CPV (as in the case of this work). Another relevant factor is the type of violence perpetrated by young people towards their parents (psychological, physical, financial, or a combination of several) [37,38]. In order to identify and study the group of young people who carry out CPV behaviours, specific instruments have been developed for this group [39], notably: Abusive Behaviour by Children—Indices (ABC-I), Adolescent Domestic Battery Typology, Child-to-Parent Aggression Questionnaire (CPAQ), Child-to-Parent Violence Questionnaire (CPV-Q), Child-to-Parent Violence Risk Assessment Tool (CPVR), and Child-to-Parent Violence Functions Scale (CPV-F) [31,38,40,41,42,43,44].
In the Youth Criminal Justice Service, the use of instruments that predict the risk of re-offending is common in order to determine the risk and protective factors for each young person who has committed a crime involving antisocial behaviour and passes through the criminal justice system. The use of such instruments helps criminal justice staff to plan, implement, and evaluate individualised plans for the path of each young person through the Youth Criminal Justice Service. The most used instruments internationally include the Youth Level of Service/Case Management Inventory (YLS/CMI) [45] and the Structured Assessment of Violence Risk in Youth (SAVRY) [46], which are also used by young people involved in CPV [6,47].
Information gathered through the application of these tools is used to identify individuals at high risk of reoffending, guide legal decisions regarding the intensity of interventions or community reintegration, and help therapists identify targets to reduce the risk of recidivism. The predictive validity of youth risk assessment tools may change, as the individual weights of specific risk and protective factors may vary across young people [48,49]. While there are very few publications available that address developmental differences in risk assessment in the juvenile offender population, Palanques et al. [3] in their study found that the CPV group had mostly committed CPV, whereas the comparison group had tended to commit property crimes. In addition, the results showed that the CPV group had a higher risk profile than the comparison group. The family circumstances, substance abuse, and personality behaviour subscales of the YLS/CMI were able to predict CPV among these youths [50].
These studies have focused primarily on factors that contribute to risk. Aspects that reduce the likelihood of recidivism have received much less attention. Protective factors appear promising for improving risk prediction and management [51]. This view is supported by a growing body of research that increasingly demonstrates the vital role of protective factors in reducing recidivism [51,52]. Following these advances, several youth risk assessment tools have, to some extent, incorporated protective factors. The SAVRY, for example, is one of the most widely used tools and currently the most widely used measure of protective factors in juvenile offenders [53]. These findings demonstrate the need for a detailed assessment of adolescents who have committed CPV offences in order to tailor intervention measures and, broadly speaking, reduce the risk of recidivism [52,54].
In the context we have described and the findings of researchers in the area of CPV, this paper has several objectives. Firstly, to describe the CPV group in relation to the risk and protective factors they present in comparison with the group of young people who committed an assault offence. Secondly, to determine whether the SAVRY [46], an instrument for predicting antisocial behaviour, adequately discriminates between young people who have committed a CPV offence and a group of young people who have committed an assault offence (section 147 et seq. of the Criminal Code). Thirdly, to determine what risk and protective factors the young people in these two groups share and whether the CPV group can be differentiated in terms of risk and protective factors, in order to assess the usefulness of SAVRY for the future planning of specific interventions for each group of young offenders.

2. Method

2.1. Participants

The sample for this research is made up of a total of 175 young offenders from a juvenile court. All young offenders who committed a CPV or assault offence for one year (January to December) were included in this study. The different sample sizes of the groups (25 for CPV and 150 for assault) are due to the fact that all young people who committed these offences were selected. This was carried out in order to obtain a global and real picture of the phenomenon under study. The data were collected retrospectively from the young people’s judicial files. Specifically, a study year was selected for the commission of the base offence (CPV vs. assault), and thereafter, recidivism was measured for a period of two years after that calendar year. Data were collected three years after the commission of the offence under study in this paper.

2.2. Instruments and Variables

2.2.1. Structured Assessment of Violence Risk in Youth

SAVRY [46] is an instrument for the assessment of risk in young people in conflict with the law. It comprises four factors, three related to the risk presented by a young person: history (10 items), social (6 items), and individual (8 items), and one protective factor that has 6 items. SAVRY comprises a total of 24 items related to risk behaviours with three possible responses (low, moderate, and high) and 6 items in the protective factor with two possible answers (present or absent). For each factor (history, social, individual, and protective), a partial score is obtained, and a total score for the level of risk presented by a young person can also be calculated. In this work, the Spanish version of SAVRY [55] has been used.
In order to examine the reliability of scores for the instrument, we estimated Cronbach’s alphas and confidence intervals for the partial and total scores, which gave the following values: α = 0.780, 95% CI (0.728, 0.824) for history; α = 0.683, 95% CI (0.604, 0.749) for social; α = 0.720, 95% CI (0.658, 0.774) for individual; α = 0.825, 95% CI (0.782, 0.860) for the protective factor; and α = 0.879, 95% CI (0.852, 0.902) for the total risk score [56].

2.2.2. Re-Offending and Past Offending

Re-offending was defined as the opening of a further formal investigation into a young person by the public prosecutor. The follow-up period for re-offending was two years from the commission of the criminal antisocial behaviour that led to the inclusion of a young person in this study [57,58,59,60]. Past offending by a young person was measured by the presence or absence of a prior criminal case in their record. The cut-off was two years prior to the commission of the criminal antisocial behaviour that led to the inclusion of a young person in this study.

2.3. Procedure

The data-gathering process was conducted in a youth court. The information required to complete the SAVRY was collected retrospectively from the court records of the young offenders. Those files included police information about the incident reported, the formal investigation of the events, a psychological-social-educational report prepared by the youth court’s specialist services, and the sentence imposed by the youth judge. On the basis of the young person’s court file, the information gathering protocol drawn up for the study was completed with sociodemographic variables, information concerning re-offending, the criminal history of each young person, and SAVRY.
Two of the authors acted as data coders. One of the authors coded 100% of the court files, while the other coded 30% of files selected at random. The agreement between coders was above 95%, and discrepancies were resolved by consensus. Both coders have doctorates in psychology, and one of them has more than twenty years’ experience in court and forensic psychology.
The research investigation followed the recommendations of the Risk Assessment Guidelines of the Evaluation of Efficacy (RAGEE) Statement [61] and was approved by the Ethics Committee of the University of Almería (UALBIO2020/017) within the framework of wider research.

2.4. Desing

This research has been carried out following the guidelines of an ex post facto design.

2.5. Data Analysis

We estimated Cronbach’s alpha reliability for partial and total SAVRY scores in order to assess the internal consistency of the instrument. The reliability coefficients were calculated in accordance with the recommendations of George and Mallery [62].
Descriptive statistics were estimated for sociodemographic variables and partial and total SAVRY scores. In order to determine whether there are differences in scores across the different youth offender profiles studied, non-parametric tests of differences of means were performed (Mann-Whitney’s U). The contrast statistic was accompanied by an estimate of effect size [63,64].
In order to quantify the predictive force of SAVRY to predict re-offending, the area under the curve (AUC) was calculated for scores attained using the instrument. To interpret the AUCs, we took as reference points: AUCs in the range 0.55–0.63 have low predictive value; those in the range 0.64–0.70 have moderate predictive value; and those above 0.71 have good predictive value, complemented by estimation of effect size using Cohen’s index [65,66].
Statistical analysis was carried out using SPSS version 28 (IBM Corp., Armonk, NY, USA) and JASP version 16.4 (University of Amsterdam, Amsterdam, The Netherlands).

3. Results

The sample in this study comprises a total of 175 individuals under the age of 18, in respect of whom a procedure had been opened in the youth court for the commission of an offence under Spanish law relating to youth offenders. Under the Youth Criminal Liability Act 2000 [67], offenders aged 14–17 are tried in a youth court.
In terms of sociodemographic data, the young participants in this study are mainly boys (70.3%), of Spanish nationality (80.6%), and have a mean age of 15.68 (1.072). The minority group is those aged 14 at the time of their offence.
In relation to variables associated with the specific offences committed, 85.7% committed an assault, and 14.3% committed an offence considered CPV. For all young people, 83.2% of offences committed have a single victim, 50.6% of victims are under 18 years of age, and 50.9% of victims are males.
For overall variables concerning re-offending, 23.4% of the young people have committed offences in addition to those considered in this study, and 33.7% of the young people re-offend within a two-year follow-up period (Table 1).
In relation to the sex of the youth offenders, in the group that committed offences of assault, 71.3% were males; in the CPV group, the percentage of males falls to 64%. No statistically significant differences were found between the groups in relation to the variable of sex.
With respect to the variable of the age of a young person at the time of commission of criminal antisocial behaviour, there were also no statistically significant differences between the two groups. In the group that committed assault, the greatest percentage of young people are aged 16 (36%) and 17 (29.3%), whereas in the group of young people who committed CPV, the most heavily represented ages are 15 (36%) and 17 (32%). Similarly, there were no statistically significant differences in relation to the nationality of the young offenders (p = 0.938); the percentage of Spanish nationals in both groups was approximately 80%.
In relation to the number of victims of criminal antisocial behaviour, no statistically significant differences were found (p = 0.363). However, in the Assault group, the majority of offences (84.5%) had one victim, while in the CPV group, 76% of offences had one victim and 24% had two victims.
Statistically significant differences were found both in relation to the sex and the age of the victims as a function of the offence committed (p < 0.001). In relation to the sex of the victims, in the group of young people who committed assault, a majority (58.8%) of the victims are male, 32.4% are women, and 8% are of both sexes. Conversely, in the CPV, the victims are mostly (84%) women, of both sexes in 12% of cases, and in only one case was the victim male. In relation to the age of the victims, in the Assault group, 57.8% were minors, compared to 40.1% of adult victims. In distinction, in the CPV, the victims were adults.
In the variables related to the criminal records of the offenders, both past and future, no statistically significant differences were found. Around 23–24% of the young people who committed both offences had past convictions, and in relation to subsequent re-offending, in the Assault group, some 34.7% of the young people re-offended, compared to 28% in the CPV group (Table 2).
As can be seen in Table 3, we found statistically significant differences for all the comparisons made between the Assault group and the CPV group. Specifically for the scores for historical risk factors, the Assault group has a mean score of 2.947 (2.877) and the Intrafamily Abuse group has a mean score of 6.040 (3.102), with an effect size of d = 0.794. In the scores for social risk factors, the Assault group has a mean score of 1.660 (2.213), and the CPV group has a mean score of 2.680 (1.952), with an effect size of d = 0.464. In scores for the individual component, the mean score is estimated at 2.427 (2.375), compared to the CPV group, which has a score of 4.680 (2.577) and an effect size of d = 0.627. In the protective factor, the mean score for the Assault group was 3.307 (1.904) and for the CPV group it was 1.800 (1.732) (Figure 1), with an effect size of d = 0.549. Finally, in total SAVRY scores, the Assault group has a mean score of 5.087 (6.821) and the CPV group has a mean score of 11.760 (6.747), with an effect size of d = 0.738. According to the effect sizes found, in the historical risk factor scores, the differences found indicate a large effect between the two groups, while in the other comparisons, the effects found were moderate (Table 3).
In order to further explore the differences found, each of the items that make up the SAVRY is analysed. Table 4 shows the mean scores and standard deviations for each SAV RY item with the p-value of the difference of means between groups, the value of the effect size, and the 95% confidence interval. In the historical risk factor, statistically significant differences were found between the assault group and the CPV group for the following items: history of violence (p < 0.001, d = 0.873); early initiation of violence (p < 0.001, d = 0.379); past supervision/intervention failures (p < 0.001, d = 0.531); history of self-harm or suicide attempts (p < 0.001, d = 0.178); childhood history of maltreatment (p = 0.020, d = 0.166); early caregiver disruption (p = 0.033, d = 0.252); and poor school achievement (p = 0.011, d = 0.305).
In the social/contextual risk factor, statistically significant differences were found in the poor parental management item (p < 0.001, d = 0.792). This was a large difference given the effect size found. In the individual/clinical risk factor, statistically significant differences were found between the Assault group and the CPV group in the following items: negative attitudes (p = 0.007, d = 0.311); risk taking/impulsivity (p = 0.045, d = 0.262); substance-use difficulties (p = 0.017, d = 0.145); anger management problems (p < 0.001, d = 0.604); attention deficit/hyperactivity difficulties (p < 0.001, d = 0.292); and poor compliance (p = 0.018, d = 0.287). A moderate effect was found in the Anger management problems item and small effects for the other items. Finally, in the protective factor, differences were found between the Assault group and the CPV group in the following items: prosocial involvement (p = 0.005, d = 0.369); strong social support (p = 0.005, d = 0.277); strong attachments and bonds (p < 0.001, d = 0.516); and positive attitude towards intervention and authority (p = 0.008, d = 0.352). A moderate effect was found in the strong attachments and bonds item, and small effects for the other items.
Finally, the AUCs were estimated for partial and total SAVRY scores. All the estimated curves were statistically significant. Specifically, the following estimates were found for each factor: SAVRY Historical (AUC = 0.805, 95% CI [0.723, 0.888]), SAVRY Social (AUC = 0.687, 95% CI [0.596, 0.779]), SAVRY Individual (AUC = 0.747, 95% CI [0.644, 0.851]), SAVRY Protective (AUC = 0.281, 95% CI [0.174, 0.389]), and SAVRY Risk Total Score (AUC = 0.786, 95% CI [0.696, 0.877]). The historical, individual and protective factors and the Risk Total Score have good predictive power, whilst the social dimension has a moderate predictive power (Table 5).

4. Discussion

This work had several research objectives. First, to describe the CPV group in relation to the risk and protective factors they present in comparison with the group of young people who committed an assault offence. Second, to establish whether SAVRY distinguished between young people who had engaged in antisocial behaviour constituting CPV and young people who had committed other types of assaults. The results presented provide evidence of how the groups studied present different scores in all dimensions of SAVRY. The CPV group has higher mean scores than the Assault group in risk factors (historical, social, individual, and Risk Total Score), while in the protection factor, the group that obtains a higher score is the injury group, which suggests that the CPV group will need a more intensive intervention. The estimated effect sizes for the historical factor are large; the effect sizes are moderate for the other factors. In relation to SAVRY’s predictive capacity, moderate and high values were obtained for the risk and protective factors and for the total score, making SAVRY useful for evaluating protective and risk factors differentially with respect to other assaults.
In relation to our third objective concerning the characteristics of the two study groups (CPV vs. Assault), significant differences and moderate to high effect sizes were found for the different SAVRY items. In the CPV group, the presence of factors reported in the specialised literature, such as higher levels of previous violence, is noteworthy [68], poor academic performance [69], deficits in parental management [70], problems with emotional regulation, and impulsivity [12].
Consistent with previous works, it is evident that there are differentiating characteristics or specific factors between young people who commit CPV and young people who commit antisocial behaviours that constitute other offences [15,17,19,71]. As well as implementing specific programmes and interventions, systematic reviews have shown the need for further research into CPV, with special emphasis on what makes interventions with this group of young people effective, what needs and outcomes they address, and the implications of the identification of and targeted work with this group [72].
At the international level, there are various CPV-specific programmes: Step-Up Building Respectful Family Relationships [73], the Break4Change Programme [74], and Responding to Child to Parent Violence [75], which have reported significant improvements, the end of abuse of parents, and lower rates of re-offending. Various programmes are used to address CPV in Spain, with positive results and low re-offending rates [76,77] and high success rates of 93–97.5% [78,79]. In 67.7% of cases, there has been total remission of CPV and improvements to various aspects of family life [78,79,80].
A fundamental aspect of any programme is evaluation, so that its operation can be reviewed and improved [81]. Research into CPV interventions can offer valuable information about how well the programmes followed for CPV by Youth Justice work. Some of the fundamental elements of these programmes have to do with the importance of parental involvement in any intervention, drawing up long-term life plans, relationships with peers who are not problematic, and avoiding substance use [72,82,83,84,85]. We should also mention the comparative lack of information about reviews of the effectiveness of programmes, the difficulty of follow-up, and the importance of the proper assessment and management of risk and protective factors [84,85]. Those factors are important to making the appropriate interventions in CPV and to reducing the risk that a young person will re-offend [12,84,86].
It is essential to assess and manage the risk of re-offending before and after an intervention, with instruments created for that purpose that can help expert staff identify and study variability over the course of a programme or intervention in the risk and protective factors presented by youth offenders.
A number of studies have shown the predictive validity of those instruments to predict the risk of re-offending in young people subject to a criminal sentence; however, there was insufficient data as to their effectiveness in the assessment of personal characteristics associated with specific offences such as those that constitute CPV [87,88,89,90,91]. This work is a step forward in research with young people who have committed CPV in that it provides data about the use in this group of one of the instruments most commonly used internationally to predict the risk of re-offending. SAVRY has shown that it possesses the capacity both to identify CPV young offenders and to make predictions for that group. Expert staff who work in youth justice can use SAVRY with CPV young offenders as part of the process of identifying and planning personalised interventions with these young people.

Limitations

This study represents an advance in the knowledge of the profiles of young people who have committed a CPV offence by comparing this group with another group of young offenders who have committed an offence of a violent nature but not directed at family members. However, several aspects should be improved in future work. Firstly, the sample size of the CPV group: this type of offence is very specific, and it is therefore relatively difficult to find young people convicted of this offence. However, in future studies, it would be advisable to increase the sample size of the CPV group. One option could be to increase the period of commission for the offence. Another aspect to be taken into account should be not to work only with a generic risk prediction instrument but to complement it with a specific instrument for young people who have committed a CPV offence in order to be able to plan specific interventions for this group.

5. Conclusions

Young people who have committed a CPV offence present a specific profile compared to young people with other non-violent offenses. In comparison with other types of violent crimes (e.g., assault), similarities and differences have been found in the risk and protective factors presented by both groups. Knowing the differentiating profile of each group of young offenders helps in the planning of individualised interventions in juvenile justice. The SAVRY instrument, which is not specific for youth with CPV offences, has demonstrated its ability to discriminate between youth with violent assault and CPV offences and its ability to identify individualised profiles. This instrument has proven to be a useful tool in the identification of youth with CPV offences, facilitating the work of juvenile justice technical teams by being able to use the SAVRY for all young offenders, regardless of the offence committed.

Author Contributions

Conceptualization, E.O.-C., L.D.l.F.-S., F.Z.-B. and J.G.-G.; methodology, L.D.l.F.-S. and J.G.-G.: validation, E.O.-C., L.D.l.F.-S., F.Z.-B., M.E.B.-J. and J.G.-G.; investigation, E.O.-C., L.D.l.F.-S., F.Z.-B. and J.G.-G.; resources, J.G.-G.; data curation, E.O.-C. and M.E.B.-J.; writing—original draft preparation, E.O.-C., M.E.B.-J. and J.G.-G.; writing—review and editing, E.O.-C., L.D.l.F.-S., F.Z.-B. and J.G.-G.; project administration, J.G.-G.; funding acquisition, J.G.-G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Economic Transformation, Industry, Knowledge, and Universities of the Regional Government of Andalusia (Spain) and by the ERDF of the European Union (P18-RT-1469).

Institutional Review Board Statement

The research investigation followed the recommendations of the Risk Assessment Guidelines of the Evaluation of Efficacy (RAGEE) Statement [57] and was approved by the Ethics Committee of the University of Almería (UALBIO2020/017) within the framework of wider research.

Informed Consent Statement

Patient consent was waived due to the information indicated in this paper and was not collected directly from young offenders. The information has been collected from the judicial files that the young offenders had in the juvenile court.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study, in the collection, analysis, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Coogan, D. Child-to-parent violence: Challenging perspectives on family violence. Child Care Pract. 2011, 17, 347–358. [Google Scholar] [CrossRef]
  2. Pereira, R.; Loinaz, I.; Hoyo-Bilbao, J.; Arrospide, J.; Bertino, L.; Calvo, A.; Montes, Y.; Gutiérrez, M.M. Propuesta de definición de violencia filio-parental: Consenso de la sociedad española para el estudio de la violencia filio-parental (SEVIFIP) [A proposed definition of child-to-parent violence: Consensus of Spanish society for the study of child-to-parent violence (SEVIFIP)]. Papeles Psicól. 2017, 38, 216–222. [Google Scholar] [CrossRef]
  3. Palanques, N.; Cuervo, K.; Villanueva, L. Criminological profile of minors who have committed child-to parent violence. Psychiatr. Psychol. Law. 2022, 29, 765–778. [Google Scholar] [CrossRef] [PubMed]
  4. Simmons, M.; McEwan, T.; Purcell, R.; Ogloff, J. Sixty years of child-to-parent abuse research: What we know and where to go. Aggress. Violent Behav. 2018, 38, 31–52. [Google Scholar] [CrossRef]
  5. del Estado, F.G. Memoria 2023. Available online: https://www.fiscal.es (accessed on 1 October 2023).
  6. Fandiño, R. Estudio de la Violencia Filio-Parental en Menores con Medidas Judiciales de Internamiento Terapéutico. Study of Child-to-Parent Violence in Youth Offenders Subject to Court-Ordered Therapeutic Confinement. Ph.D. Thesis, Universidad de Vigo, Vigo, Spain, 2020. [Google Scholar]
  7. Fundación Amigó. La Violencia Filio-Parental en España (Datos 2020) [Child-to-Parent Violence in Spain (2020 Data)]. Available online: https://fundacionamigo.org/vfp/ (accessed on 1 October 2023).
  8. Agustina, J.; Abadías, A. ¿Hijos tiranos o padres indolentes? Claves antes la violencia filio-parental [Child-tyrants or lazy parents? Key considerations with child-parent violence]. Rev. Electrónica Cienc. Penal Criminol. 2019, 21, 1–54. [Google Scholar]
  9. Ibabe, I.; Jaureguizar, J. ¿Hasta qué punto la violencia filio-parental es bidireccional? [To what point is child-to-parent violence two-way?]. An. Psicol. 2011, 27, 265–277. [Google Scholar]
  10. Egea-Garavito, G. Violencia Filio-Parental: De víctima a victimario [Child-to-Parent Violence: From victim to perpetrator]. Psicol. Caribe 2014, 31, 7–10. [Google Scholar]
  11. Cottrell, B.; Monk, P. Adolescent-to-parent abuse. J. Fam. Issues 2004, 25, 1072–1095. [Google Scholar] [CrossRef]
  12. Garrido, V.; Doménech, M.J. La violencia filio-parental: Una revisión de la investigación empírica en España y sus implicaciones para la prevención y el tratamiento [Child-to-parent violence: A review of empirical research in Spain and its implications for prevention and treatment]. Rev. Derecho Penal Y Criminol. 2016, 3, 339–374. [Google Scholar]
  13. Andrews, D.A.; Bonta, J. The Psychology of Criminal Conduct; LexisNexis: New Providence, NJ, USA, 2010. [Google Scholar] [CrossRef]
  14. Calvete, E.; Gámez-Guadix, M.; Orue, I. Características familiares asociadas a violencia filio-parental en adolescentes [Characteristics associated with child-to-parent violence in teenagers]. An. Psicol. 2014, 30, 1176–1182. [Google Scholar] [CrossRef]
  15. Loinaz, I.; Sousa, A.M. La evaluación de factores de riesgo y de protección en casos clínicos y judiciales de violencia filio-parental [The evaluation of risk and protective factors in clinical and judicial cases of child-to-parent violence]. Eur. J. Psychol. Appl. Leg. Context 2020, 12, 43–51. [Google Scholar] [CrossRef]
  16. Martínez, M.L.; Estévez, E.; Jiménez, T.I.; Velilla, C. Violencia filio-parental: Principales características, factores de riesgo y claves para la intervención [Child-to-parent violence: Principal characteristics, risk factors and keys to intervention]. Papeles Psicol. 2015, 36, 216–223. [Google Scholar]
  17. Cano-Lozano, M.C.; Contreras, L.; Navas-Martínez, M.J.; León, S.P.; Rodríguez-Díaz, F.J. Child-to-parent violence offenders (specialists vs. generalists: The role of direct victimization at home. Eur. J. Psychol. Appl. Leg. Context 2023, 15, 9–22. [Google Scholar] [CrossRef]
  18. Calvete, E.; Orue, I.; Fernández-González, L.; Chang, R.; Little, T.D. Longitudinal trajectories of child-to-parent violence through adolescence. J. Fam. Violence 2020, 35, 107–116. [Google Scholar] [CrossRef]
  19. Martín, A.M.; De la Fuente, L.; Hernández, A.; Zaldívar, F.; Ortega-Campos, E.; García-García, J. Psychosocial Profile of Juvenile and Adult Offenders Who Acknowledge Having Committed Child-to-Parent Violence. Int. J. Environ. Res. Public Health 2022, 19, 601. [Google Scholar] [CrossRef] [PubMed]
  20. Aroca, C. La Violencia Filio-Parental: Una Aproximación a sus Claves. Child-to-Parent Violence: An Approach to the Key Issues. Ph.D. Thesis, Universidad de Valencia, Valencia, Spain, 2010. [Google Scholar]
  21. Giraldo, R.C. Violencia Filio-Parental: Una Revisión Sistemática de sus Factores. Child-to-Parent Violence: A Systematic Review of Its Factors. Bachelor’s Thesis, Universidad César Vallejo, Vallejo, CA, USA, 2020. [Google Scholar]
  22. Padilla, C.M. Violencia Filio-Parental Desde la Jurisdicción de Menores: Factores de Riesgo Psicosocial. Child-to-Parent Violence in the Youth Criminal Justice System: Psychosocial Risk Factors. Ph.D. Thesis, Universidad de Extremadura, Badajoz, Spain, 2020. [Google Scholar]
  23. Almagro-García, P.; Cutillas-Poveda, M.J.; Sánchez-Villegas, S.; Sola-Ocetta, M. Fuerza exterior, debilidad interior. Ejes fundamentales de la violencia filio-parental [Outward strength, inner weakness. Fundamental strands in child-parent violence]. Rev. Infanc. Adolesc. 2019, 16, 1–13. [Google Scholar] [CrossRef]
  24. Gámez-Guadix, M.; Calvete, E. Violencia filioparental y su asociación con la exposición a la violencia marital y la agresión de padres a hijos [Child-to-parent violence and its association with exposure to marital violence and parent-to-child aggression]. Psicothema 2012, 24, 277–283. [Google Scholar] [PubMed]
  25. Del Hoyo-Bilbao, J.; Orue, I.; Calvete, E. Interaction of psychopathic traits dimensions in the prediction of psychological and physical child-to-parent violence in adolescents. J. Psychopathol. Behav. Assess. 2022, 44, 235–244. [Google Scholar] [CrossRef]
  26. Ibabe, I.; Arnoso, A.; Elgorriaga, E. Behavioral problems and depressive symptomatology as predictors of child-to-parent violence. Eur. J. Psychol. Appl. Leg. Context 2014, 6, 53–61. [Google Scholar] [CrossRef]
  27. Lozano, S.; Estévez, E.; Carballo, J.L. Factores individuales y familiares de riesgo en casos de violencia filio-parental [Individual and family risk factors in cases of child-to-parent violence]. Doc. Trab. Soc. Rev. Trab. Y Acción Soc. 2013, 52, 254. [Google Scholar]
  28. Arias, S.; Hidalgo, V. Theoretical framework and explanatory factors for child-to-parent violence. A scoping review. An. Psicol. 2020, 36, 220–231. [Google Scholar] [CrossRef]
  29. Calvete, E.; Gámez-Guadix, M.; García-Salvador, S. Social information processing in child-to-parent aggression: Bidirectional associations in a 1-year prospective study. J. Child Fam. Stud. 2015, 24, 2204–2216. [Google Scholar] [CrossRef]
  30. Gifford-Smith, M.E.; Brownell, C.A. Childhood peer relationships: Social acceptance, friendships, and peer networks. J. Sch. Psychol. 2003, 41, 235–284. [Google Scholar] [CrossRef]
  31. Loinaz, I.; Andrés-Pueyo, A.; Pereira, R. Factores de riesgo de violencia filio-parental: Una aproximación con juicio de expertos [Child-to-parent violence risk factors: An approach with expert judgement]. Acción. Psicol. 2017, 14, 17–32. [Google Scholar] [CrossRef]
  32. Martínez-Ferrer, B.; Romero-Abrio, A.; Moreno-Ruiz, D.; Musitu, G. Child-to-parent violence and parenting styles: Its relations to problematic use of social networking sites, alexithymia, and attitude towards institutional authority in adolescence. Psychosoc. Interv. 2018, 27, 163–171. [Google Scholar] [CrossRef]
  33. Urra, J.; Sancho, J.L.; Atarés, E.; Buale, A.; Isabel, C. Violencia Filio-Parental. Teoría, Evaluación y Tratamiento. [Child-to-Parent Violence. Theory, Assessment and Treatment]; Klinik: Madrid, Spain, 2015. [Google Scholar]
  34. Beckmann, L. Exposure to family violence and adolescent aggression in multiple social contexts: Classroom social resources as moderators. J. Psychosoc. Res. 2020, 35, 471–484. [Google Scholar] [CrossRef]
  35. Jiménez, T.; Estévez, E.; Velilla, C.; Martín Albo, J.; Martínez, M.L. Family communication and verbal child-to-parent violence among adolescents: The mediating role of perceived stress. Int. J. Environ. Res. Public Health 2019, 16, 4538. [Google Scholar] [CrossRef]
  36. Suárez-Relinque, C.; del Moral, G.; León, C.; Callejas, J.E. Child-to-parent violence: Which parenting style is more protective? A study with Spanish adolescents. Int. J. Environ. Res. Public Health 2019, 16, 1320. [Google Scholar] [CrossRef] [PubMed]
  37. Del Hoyo-Bilbao, J.; Loinaz, I. Psychological Abuse of Parents. In The SAGE Handbook of Domestic Violence; Shackelford, T.K., Ed.; SAGE: London, UK, 2021; Volume 2, pp. 875–891. [Google Scholar]
  38. Loinaz, I.; Irureta, M.; San Juan, C. Child-to-Parent Violence Specialist and Generalist Perpetrators: Risk Profile and Gender Differences. Healthcare 2023, 11, 1458. [Google Scholar] [CrossRef]
  39. Arias-Rivera, S.; Hidalgo, V.; Lorence, B. A scoping study on measures of child-to-parent violence. Aggress. Violent Behav. 2020, 52, 101426. [Google Scholar] [CrossRef]
  40. Contreras, L.; Bustos-Navarrete, C.; Cano, C. Child-to-Parent Violence Questionnaire (CPV-Q): Validation among Spanish adolescents. Int. J. Clin. Health Psychol. 2019, 19, 67–74. [Google Scholar] [CrossRef]
  41. Del Hoyo-Bilbao, J.; Gámez-Guadix, M.; Orue, I.; Calvete, E. Psychometric properties of the Child-to-Parent Aggression Questionnaire in a clinical sample of adolescents who abuse their parents: Prevalence and gender differences. Violence Vict. 2018, 33, 203–217. [Google Scholar] [CrossRef]
  42. Harries, T.; Curtis, A.; Skvarc, D.; Walker, A.; Mayshak, R. The Child-to-Parent Violence Functions Scale (CPV-F): Development and Validation. J. Fam. Violence 2023, 38, 1287–1301. [Google Scholar] [CrossRef]
  43. Nussbaum, W.; Berry, S.M.; Hartnett, S.; Vincent, G. Adolescent Domestic Battery Typology Tool Manual; MacArthur Foundation: Chicago, IL, USA, 2015. [Google Scholar]
  44. Simmons, M.L.; McEwan, T.E.; Purcell, R.; Huynh, M. The Abusive Behaviour by Children-Indices (ABC-I): A measure to discriminate between normative and abusive child behaviour. J. Fam. Violence 2019, 34, 663–676. [Google Scholar] [CrossRef]
  45. Hoge, R.D.; Andrews, D.A. Youth Level of Service/Case Management Inventory; Multi Health Services: Cheektowaga, NY, USA, 2002. [Google Scholar]
  46. Borum, R.; Bartel, P.; Forth, A. Manual for the Structured Assessment of Violence Risk in Youth (SAVRY); Psychological Assessment Resources: Odessa, FL, USA, 2006. [Google Scholar]
  47. Burcet, J.; Espuny, F.D.; Vallés Herrero, J. MIRALL. Un programa para el abordaje de la violencia filio-parental con adolescentes en libertad vigilada y sus familias [MIRALL: A programme to approach child-to-parent violence with teenagers under probation and their families]. Rev. Educ. Soc. 2017, 29, 115–141. [Google Scholar]
  48. Lloyd, C.D.; Perley-Robertson, B.; Serin, R.C. Age and strengths in a community corrections sample. Int. J. Forensic Ment. Health 2019, 19, 215–226. [Google Scholar] [CrossRef]
  49. Vincent, G.M.; Drawbridge, D.; Davis, M. The validity of risk assessment instruments for transition-age youth. J. Consult. Clin. Psychol. 2019, 87, 171–183. [Google Scholar] [CrossRef] [PubMed]
  50. Cuervo, K.; Palanques, N. Risk and protective factors in child-to-parent violence: A study of the yls/cmi in a spanish juvenile court. J. Child Fam. Stud. 2022, 31, 1707–1723. [Google Scholar] [CrossRef]
  51. Kashiwagi, H.; Kikuchi, A.; Koyama, M.; Saito, D.; Hirabayashi, N. Strength-based assessment for future violence risk: A retrospective validation study of the structured assessment of protective factors for violence risk (SAPROF) Japanese version in forensic psychiatric inpatients. Ann. Gen. Psychiatry 2018, 17, 5. [Google Scholar] [CrossRef]
  52. de Vries Robbé, M.; Veldhuizen, A.; Vullings, K.; Helmers, N.; van Hoof, L. Risk and Protective Factors for Juvenile Violent Offending. Manuscript in Preparation. 2020.
  53. Dickens, G.L.; O’Shea, L.E. Protective Factors in Risk Assessment Schemes for Adolescents in Mental Health and Criminal Justice Populations: A Systematic Review and Meta-Analysis of their Predictive Efficacy. Adolescent Res Rev. 2018, 3, 95–112. [Google Scholar] [CrossRef]
  54. Kleeven, A.T.H.; de Vries Robbé, M.; Mulder, E.A.; Popma, A. Risk Assessment in Juvenile and Young Adult Offenders: Predictive Validity of the SAVRY and SAPROF-YV. Assessment 2022, 29, 181–197. [Google Scholar] [CrossRef]
  55. Vallés, L.; Hilterman, E. SAVRY. Manual Para la Valoración Estructurada de Riesgo de Violencia en Jóvenes [SAVRY. Manual for Structured Assessment of Violence Risk in Youth]; Department of Justice: Catalonia, Spain, 2006.
  56. Lodewijks, H.P.B.; De Ruiter, C.; Doreleijers, T.A.H. The Impact of Protective Factors in Desistance from Violent Reoffending. A Study in Three Samples of Adolescent Offenders. J. Interpers. Violence 2010, 25, 568–587. [Google Scholar] [CrossRef] [PubMed]
  57. Chu, C.M.; Goh, M.L.; Chong, D. The Predictive Validity of Savry Ratings for Assessing Youth Offenders in Singapore. A Comparison with YLS/CMI Ratings. Crim. Justice Behav. 2016, 43, 793–810. [Google Scholar] [CrossRef]
  58. Ortega-Campos, E.; García-García, J.; Gil-Fenoy, M.J.; Zaldívar-Basurto, F. Identifying risk and protective factors in recidivist juvenile offenders: A decision tree approach. PLoS ONE 2016, 11, e0160423. [Google Scholar] [CrossRef] [PubMed]
  59. Ortega-Campos, E.; García-García, J.; Zaldívar-Basurto, F. The Predictive Validity of the Structured Assessment of Violence Risk in Youth for Young Spanish Offenders. Front. Psychol. 2017, 8, 577. [Google Scholar] [CrossRef] [PubMed]
  60. Villanueva, L.; Basto-Pereira, M.; Cuervo, K. How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items. Int. J. Offender. Ther. Comp. Criminol. 2019, 64, 922–937. [Google Scholar] [CrossRef]
  61. Singh, J.P.; Yang, S.; Mulvey, E.P.; The RAGEE Group. Reporting guidance for violence risk assessment predictive validity studies: The RAGEE Statement. Law Hum. Behav. 2015, 39, 15–22. [Google Scholar] [CrossRef]
  62. George, D.; Mallery, P. SPSS for Windows Step by Step: A Simple Guide and Reference, 4th ed.; 11.0 Update; Allyn & Bacon: Boston, MA, USA, 2003. [Google Scholar]
  63. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Earlbaum Associates: Hillsdale, NJ, USA, 1988. [Google Scholar]
  64. Ventura-León, J.L. Effect size for Mann-Whitney’s U: Supplements to the Valdivia-Peralta et al. article. Rev. Chil. Neuro-Psiquiatr. 2016, 54, 353–354. [Google Scholar] [CrossRef]
  65. Rice, M.E.; Harris, G.T. Comparing effect sizes in follow-up studies: ROC analysis, Cohen’s d, and r. Law Hum. Behav. 2005, 29, 615–620. [Google Scholar] [CrossRef]
  66. Salgado, J.F. Transforming the Area under the Normal Curve (AUC) into Cohen’s d, Pearson’s rpb, Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables. Eur. J. Psychol. Appl. Leg. Context 2018, 10, 35–47. [Google Scholar] [CrossRef]
  67. Organic Law 5/2000, of 12 January 2000, Regulating the Criminal Responsibility of Minors. “BOE” no. 11, of 13/01/2000. Available online: https://www.boe.es/eli/es/lo/2000/01/12/5/con (accessed on 1 October 2023).
  68. Navas-Martínez, M.J.; Cano-Lozano, M. Unique and Additive Effects of Family and School Victimization on Child-to-Parent Violence. Violence Vict. 2022, 37, 459–478. [Google Scholar] [CrossRef] [PubMed]
  69. Ibabe, I. Academic Failure and Child-to-Parent Violence: Family Protective Factors. Front. Psychol. 2016, 7, 1538. [Google Scholar] [CrossRef] [PubMed]
  70. Beckmann, L.; Bergmann, M.C.; Fischer, F.; Mößle, T. Risk and Protective Factors of Child-to-Parent Violence: A Comparison between Physical and Verbal Aggression. J. Interpers. Violence 2021, 36, 1309–1334. [Google Scholar] [CrossRef] [PubMed]
  71. Contreras, M.; Fresno, A.; Hernández, O. Violencia filio-parental: Una revisión sistemática de la literatura [Child-to-parent violence. A systematic review of the literature]. Rev. Argent. Cienc. Comport. 2022, 14, 13–26. [Google Scholar] [CrossRef]
  72. Toole-Anstey, C.; Keevers, L.; Townsend, M.L. A systematic Review of Child to Parent Violence Interventions. Trauma Violence Abus. 2023, 24, 1157–1171. [Google Scholar] [CrossRef]
  73. Anderson, L.; Routt, G. Step-Up: A Counseling Program for Teens Who Are Violent at Home; Parents Group. King County Government: Washington, DC, USA, 2004. Available online: https://www.courts.ca.gov (accessed on 1 October 2023).
  74. Break4Change. Break4Change Programme Toolkit. Daphne Programme. 2015. Available online: https://justiceinnovation.org/project/break4change (accessed on 1 October 2023).
  75. Coogan, D.; Lauster, E. Responding to Child to Parent Violence. Programa Daphne [Daphne Programme]. 2015. Available online: https://www.escueladefamiliasadoptivas.es/wp-content/uploads/2022/06/Manual_sobre_-resistencia_-no_-violenta_-profesionales.pdf (accessed on 1 October 2023).
  76. González-Álvarez, M.; Gesteira, C.; Fernández-Arias, I.; García-Vera, M.P. Programa de adolescentes que agreden a sus padres (P.A.P.): Una propuesta específica para el tratamiento de problemas de conducta en el ámbito familiar [Programme for adolescents who attack their parents (PAP): A specific proposal for the treatment of behavioural problems within the family]. Psicopatología Clínica Leg. Forense 2009, 9, 149–170. [Google Scholar]
  77. Loinaz, I.; Villanueva, J.; Sancho, J.L. Pre-post changes in a child-to-parent violence psychoeducational intervention program. Eur. J. Educ. Psychol. 2022, 15, 1–19. [Google Scholar] [CrossRef]
  78. González-Álvarez, M.; García-Vera, M.P.; Graña, J.L.; Morán, N.; Gesteira, C.; Fernández-Arias, I.; Moreno, N.; Zapardiel, A. Programa de Tratamiento Educativo y Terapéutico por Maltrato Familiar Ascendente [Educational and Therapeutic Programme for Adolescent Family Abuse]; Agencia de la Comunidad de Madrid Para la Reeducación y la Reinserción del Menor Infractor: Madrid, Spain, 2013. [Google Scholar]
  79. Sánchez, J. Análisis y Puesta en Práctica en un Centro de Menores de un Programa de Intervención con Familias y Menores que Trabajan con sus Padres [Analysis and Implementation in a Youth Centre of an Intervention Programme with Families and Youths Working with Their Parents]. Ph.D. Thesis, Universidad de Valencia, Valencia, Spain, 2008. [Google Scholar]
  80. Garrido, V. Prevención de la violencia filio-parental: El Modelo de Cantabria. In Prevention of Child-to-Parent Violence: The Cantabrian Model; Serie: Documentos Técnicos; Gobierno de Cantabria, Servicio de Publicaciones: Santander, Spain, 2012. [Google Scholar]
  81. UVEG. Manual de evaluación para intervenciones en violencia filio-parental RCPV. In Evaluation Manual for Interventions in Child-to-Parent Violence RCPV; Polibienestar Research Institute: Valencia, Spain, 2015. [Google Scholar]
  82. Abadías, A. La violencia filio-parental y la reinserción del menor infractor: Consideraciones penales y criminológicas. In Child-to-Parent Violence and Reinsertion of the Child Offender: Penal and Criminological Considerations; Bosch Penal: Barcelona, Spain, 2017. [Google Scholar]
  83. Aroca, C.; Bellver, M.; Alba, J. Revisión de programas de intervención para el tratamiento de la violencia filio-parental. Una Guía para la confección de un nuevo programa [Review of intervention programmes to treat child-to-parent violence. A guide to the preparation of a new programme]. Educ. XX1 2013, 16, 284. [Google Scholar] [CrossRef]
  84. Cuervo, A.L. La evaluación de los programas de tratamiento de la violencia filio-parental. Revista de derecho penal, procesal y penitenciario [Assessment of treatment programmes in child-to-parent violence]. Ley Penal Rev. Derecho Penal Procesal Penit. 2020, 143, 1–11. [Google Scholar]
  85. Ibabe, I.; Arnoso, A.; Elgorriaga, E. Programas de intervención destacados en Violencia Filio-Parental: Descripción de un programa innovador de intervención precoz [Leading intervention programmes for Child-to-Parent Violence: Description of an innovative early intervention programme]. Pap. Psicól. 2018, 39, 208–217. [Google Scholar] [CrossRef]
  86. Maroto, Z.; Cortés, M.T. Reincidencia y factores psicológicos en jóvenes con conducta de maltrato hacia sus progenitores [Re-offending and psychological factors in young people with abusive conduct towards their parents]. Rev. Infanc. Adolesc. 2018, 15, 16–28. [Google Scholar] [CrossRef]
  87. Cuervo, K.; Villanueva, L.; Castillo, J. Riesgo de reincidencia y evolución, a través del Inventario IGI-J en una población de menores infractores [The risk of re-offending and development, through the IGI-J Inventory in a population of young offenders]. Rev. Int. Sociol. 2017, 75, e065. [Google Scholar] [CrossRef]
  88. Fernández-Monteiro, M. Capacidad predictiva de los factores de riesgo en la reincidencia delictiva de menores infractores [Predictive capacity of risk factors in re-offending by young offenders]. Psicopatología Clínica Leg. Forense 2018, 18, 60–74. [Google Scholar]
  89. García-García, J.; Ortega-Campos, E.; Zaldívar-Basurto, F.; Gil-Fenoy, M.J. Predicción del riesgo de reincidencia en una muestra de menores infractores españoles. Evidencias de validez del SAVRY [Predicting the risk of re-offending in a sample of youth offenders in Spain. Evidence of the validity of SAVRY]. Psicumex 2016, 6, 83–95. [Google Scholar] [CrossRef]
  90. Garrido, V.; López, E.; Galvis, M.J. Predicción de la reincidencia con delincuentes juveniles: Adaptación del IGI-J [Predicting re-offending in youth offenders: An adaptation of the IGI-J]. Rev. Sobre Infanc. Adolesc. 2017, 12, 30–41. [Google Scholar] [CrossRef]
  91. Ortega, E.; García, J.; Frías, M. Metaanálisis de la reincidencia criminal en menores: Estudio de la investigación española [Meta-analysis of criminal re-offending in young people in research in Spain]. Rev. Mex. Psicol. 2014, 31, 111–123. [Google Scholar]
Healthcare 11 02952 g001
Figure 1. Protective factor scores for CPV and Assault groups.
Figure 1. Protective factor scores for CPV and Assault groups.
Healthcare 11 02952 g001
Table 1. Frequency and percentage of variables in young people.
Table 1. Frequency and percentage of variables in young people.
Variables% (n)Variables% (n)
Sex of minor Age of minor
Male70.3 (123)14 years16.6 (29)
Female29.7 (52)15 years28.6 (50)
Nationality 16 years25.1 (44)
Spanish80.6 (141)17 years29.7 (52)
Other country19.4 (34)Number victims
Offence committed 183.2 (144)
Assault85.7 (150)213.9 (24)
CPV14.3 (25)3 o +2.9 (0.5)
Age victims Sex victims
Minors50.6 (87)Male50.9 (88)
Adults46.5 (80)Female39.9 (69)
Both2.9 (5)Both9.2 (16)
Prior offences Re-offending
Yes23.4 (41)Yes33.7 (59)
No76.6 (134)No66.3 (116)
Table 2. Frequency and percentage of offender variables for the Assault and CPV groups.
Table 2. Frequency and percentage of offender variables for the Assault and CPV groups.
AssaultCPVPearson’s Chi-Squaredp-Value
Variables% (n)% (n)
Sex of minor
Male71.3 (0.107)64 (0.16)0.5520.458
Female28.7 (0.43)36 (0.9)
Age of minor
14 years17.3 (0.26)12 (0.3)1.2890.732
15 years27.3 (0.41)36 (0.9)
16 years36.0 (0.39)20 (0.5)
17 years29.3 (0.44)32 (0.8)
Nationality
Spanish80.7 (0.121)80 (0.20)0.0060.938
Other country19.3 (0.29)20 (0.5)
Number victims
184.5 (0.125)76 (0.19)3.1890.363
212.2 (0.18)24 (0.6)
3 o +3.3 (0.5)--
Sex victims
Male58.8 (0.87)4 (0.1)27.118<0.001
Female32.4 (0.48)84 (0.21)
Both8.8 (0.13)12 (0.3)
Age victims
Minors57.8 (0.85)--30.645<0.001
Adults40.1 (0.59)100 (0.25)
Both2.0 (0.3)--
Prior offences
Yes23.3 (0.35)24 (0.6)0.0050.942
No76.7 (0.115)76 (0.19)
Re-offending
Yes34.7 (0.52)28 (0.7)0.4260.514
No65.3 (0.98)72 (0.18)
Table 3. Descriptive statistics, p-value, and estimated effect size for SAVRY scores.
Table 3. Descriptive statistics, p-value, and estimated effect size for SAVRY scores.
nM (SD)p-ValueCohen’s d
SAVRYhistoricalAssault1502.947 (2.877)<0.0010.794
CPV256.040 (3.102)
SAVRYsocialAssault1501.660 (2.213)0.0020.464
CPV252.680 (1.952)
SAVRYindividualAssault1502.427 (2.375)<0.0010.627
CPV254.680 (2.577)
SAVRYprotectiveAssault1503.307 (1.904)<0.0010.549
CPV251.800 (1.732)
SAVRYRTSAssault1505.087 (6.821)<0.0010.738
CPV2511.760 (6.747)
Table 4. Means, standard deviations, p-value, and Cohen’s d for SAVRY items.
Table 4. Means, standard deviations, p-value, and Cohen’s d for SAVRY items.
M (SD)p-ValueCohen’s d
Historical risk
  1. History of violenceAssault1.233 (0.440)<0.0010.873
CPV2.080 (0.640)
  2. History of nonviolent offencesAssault1.133 (0.378)0.9850.002
CPV1.120 (0.332)
  3. Early initiation of violenceAssault1.100 (0.323)<0.0010.379
CPV1.440 (0.583)
  4. Past supervision/intervention failuresAssault1.127 (0.389)<0.0010.531
CPV1.720 (0.792)
  5. History of self-harm or suicide attemptsAssault1.020 (0.182)<0.0010.178
CPV1.240 (0.597)
  6. Exposure to violence in the homeAssault1.207 (0.559)0.1540.134
CPV1.400 (0.764)
  7. Childhood history of maltreatmentAssault1.100 (0.414)0.0200.166
CPV1.280 (0.614)
  8. Parental/caregiver criminalityAssault1.207 (0.571)0.7300.031
CPV1.200 (0.500)
  9. Early caregiver disruptionAssault1.333 (0.642)0.0330.252
CPV1.640 (0.810)
  10. Poor school achievementAssault2.487 (0.809)0.0110.305
CPV2.920 (0.277)
Social/contextual risk
  11. Peer delinquencyAssault1.467 (0.766)0.2660.139
CPV1.600 (0.764)
  12. Peer rejectionAssault1.193 (0.487)0.3560.085
CPV1.120 (0.440)
  13. Stress and poor copingAssault1.220 (0.447)0.4380.084
CPV1.280 (0.458)
  14. Poor parental managementAssault1.360 (0.616)<0.0010.792
CPV2.160 (0.624)
  15. Lack of personal/social supportAssault1.233 (0.607)0.2600.107
CPV1.320 (0.627)
  16. Community disorganisationAssault1.187 (0.483)0.7980.024
CPV1.200 (0.577)
Individual/clinical risk
  17. Negative attitudesAssault1.240 (0.487)0.0070.311
CPV1.480 (0.510)
  18. Risk-taking/impulsivityAssault1.393 (0.554)0.0450.262
CPV1.720 (0.792)
  19. Substance-use difficultiesAssault1.060 (0.312)0.0170.145
CPV1.240 (0.597)
  20. Anger management problemsAssault1.140 (0.367)<0.0010.604
CPV1.720 (0.678)
  21. Low empathy/remorseAssault1.033 (0.180)0.0560.105
CPV1.120 (0.332)
  22. Attention deficit/hyperactivity difficultiesAssault1.093 (0.335)<0.0010.292
CPV1.360 (0.569)
  23. Poor complianceAssault1.320 (0.594)0.0180.287
CPV1.640 (0.757)
  24. Low interest/commitment to schoolAssault2.147 (0.915)0.2350.164
CPV2.400 (0.764)
Protective factors
  1. Prosocial involvementAssault0.500 (0.502)0.0050.369
CPV0.200 (0.408)
  2. Strong social supportAssault0.867 (0.341)0.0050.277
CPV0.640 (0.490)
  3. Strong attachments and bondsAssault0.813 (0.391)<0.0010.516
CPV0.400 (0.500)
  4. Positive attitude towards intervention and authorityAssault0.567 (0.497)0.0080.352
CPV0.280 (0.458)
  5. Strong commitment to schoolAssault0.400 (0.492)0.0560.244
CPV0.200 (0.408)
  6. Resilient personality traitsAssault0.160 (0.368)0.3010.097
CPV0.080 (0.277)
Assault (n = 150); CPV (n = 25).
Table 5. AUCs, 95% CI, and effect size for SAVRY dimensions.
Table 5. AUCs, 95% CI, and effect size for SAVRY dimensions.
Areap-ValueCI 95%Cohen’s d
SAVRYHistorical0.805<1.001[0.723, 0.888]1.216
SAVRYSocial0.6871.003[0.596, 0.779]0.689
SAVRYIndividual0.747<0.001[0.644, 0.851]0.940
SAVRYProtective0.281<0.001[0.174, 0.389]0.820
SAVRYRisk Total Score0.786<0.001[0.696, 0.877]1.121
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MDPI and ACS Style

Ortega-Campos, E.; De la Fuente-Sánchez, L.; Zaldívar-Basurto, F.; Buestán-Játiva, M.E.; García-García, J. Predicting the Risk of Re-Offending in Child-to-Parent Violence Using the Structured Assessment of Violence Risk in Youth. Healthcare 2023, 11, 2952. https://doi.org/10.3390/healthcare11222952

AMA Style

Ortega-Campos E, De la Fuente-Sánchez L, Zaldívar-Basurto F, Buestán-Játiva ME, García-García J. Predicting the Risk of Re-Offending in Child-to-Parent Violence Using the Structured Assessment of Violence Risk in Youth. Healthcare. 2023; 11(22):2952. https://doi.org/10.3390/healthcare11222952

Chicago/Turabian Style

Ortega-Campos, Elena, Leticia De la Fuente-Sánchez, Flor Zaldívar-Basurto, Mery Estefanía Buestán-Játiva, and Juan García-García. 2023. "Predicting the Risk of Re-Offending in Child-to-Parent Violence Using the Structured Assessment of Violence Risk in Youth" Healthcare 11, no. 22: 2952. https://doi.org/10.3390/healthcare11222952

APA Style

Ortega-Campos, E., De la Fuente-Sánchez, L., Zaldívar-Basurto, F., Buestán-Játiva, M. E., & García-García, J. (2023). Predicting the Risk of Re-Offending in Child-to-Parent Violence Using the Structured Assessment of Violence Risk in Youth. Healthcare, 11(22), 2952. https://doi.org/10.3390/healthcare11222952

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