Adolescent risk factors for child maltreatment

We investigate adolescent risk factors, measured at both early and late adolescence, for involvement in child maltreatment during adulthood. Comprehensive assessments of risk factors for maltreatment that use representative samples with longitudinal data are scarce and can inform multilevel prevention. We use data from the Rochester Youth Development Study, a longitudinal study begun in 1988 with a sample of 1,000 seventh and eighth graders. Participants have been interviewed 14 times and, at the last assessment (age 31), 80% were retained. Risk factors represent 10 developmental domains: area characteristics, family background/structure, parent stressors, exposure to family violence, parent–child relationships, education, peer relationships, adolescent stressors, antisocial behaviors, and precocious transitions to adulthood. Maltreatment is measured by substantiated reports from Child Protective Services records. Many individual risk factors (20 at early adolescence and 14 at later adolescence) are significantly, albeit moderately, predictive of maltreatment. Several developmental domains stand out, including family background/structure, education, antisocial behaviors, and precocious transitions. In addition, there is a pronounced impact of cumulative risk on the likelihood of maltreatment. For example, only 3% of the youth with no risk domains in their background at early adolescence were involved in later maltreatment, but for those with risk in 9 developmental domains the rate was 45%. Prevention programs targeting youth at high risk for engaging in maltreatment should begin during early adolescence when risk factors are already at play. These programs need to be comprehensive, capable of addressing the multiple and interwoven nature of risk that is associated with maltreatment.     

Predicting child maltreatment: A meta-analysis of the predictive validity of risk assessment instruments

Risk assessment is crucial in preventing child maltreatment since it can identify high-risk cases in need of child protection intervention. Despite widespread use of risk assessment instruments in child welfare, it is unknown how well these instruments predict maltreatment and what instrument characteristics are associated with higher levels of predictive validity. Therefore, a multilevel meta-analysis was conducted to examine the predictive accuracy of (characteristics of) risk assessment instruments. A literature search yielded 30 independent studies (N = 87,329) examining the predictive validity of 27 different risk assessment instruments. From these studies, 67 effect sizes could be extracted. Overall, a medium significant effect was found (AUC = 0.681), indicating a moderate predictive accuracy. Moderator analyses revealed that onset of maltreatment can be better predicted than recurrence of maltreatment, which is a promising finding for early detection and prevention of child maltreatment. In addition, actuarial instruments were found to outperform clinical instruments. To bring risk and needs assessment in child welfare to a higher level, actuarial instruments should be further developed and strengthened by distinguishing risk assessment from needs assessment and by integrating risk assessment with case management.     

Fatal child maltreatment in England, 2005-2009

Objective

This paper presents comprehensive and up-to-date data covering 4 years of Serious Case Reviews into fatal child maltreatment in England.

Methods

Information on all notified cases of fatal maltreatment between April 2005 and March 2009 was examined to obtain case characteristics related to a systemic classification of 5 broad groups of maltreatment deaths (severe physical assaults; covert homicide/infanticide; overt homicide; extreme neglect/deprivational abuse; deaths related to but not directly caused by maltreatment).

Results

A total of 276 cases were recorded giving an incidence of 0.63 cases per 100,000 children (0-17) per year. 246 cases could be classified based on the data available. Of these the commonest specific group was those children who died as a result of severe physical assaults. Apparently deliberate overt and covert homicide was less common, while deaths as a direct consequence of neglect were rare. In contrast, some evidence of neglect was found in at least 40% of all cases, though not the direct cause of death.

Conclusions

Class characteristics differ between the different categories of death and may suggest the need for different strategies for prevention.     

Identifying child abuse and neglect risk among postpartum women in Japan using the Japanese version of the Kempe Family Stress Checklist

The aims of this study were to determine the rate of women who are high-risk for child abuse and neglect in a perinatal unit in Japan, and to identify the factors associated with risk level. To assess the potential risk for child abuse and neglect the Japanese version of the Kempe Family Stress Checklist (FSC-J) was used to guide interviews with postpartum women. FSC-J uses a three-point scale to score 10 categories, categorizing responses as “no risk = 0”, “risk = 5”, and “high risk = 10”. The range of FSC-J is 0–100. Using an established cutoff point of 25, subjects were divided into high and low risk groups. For both groups, relationships between factors were analyzed. Of the 174 subjects who agreed to participate, 12 (6.9%) scored high-risk, and 162 (93.1%) scored low-risk. Adjusted odds ratio identified three associated factors as important for predicting risk level: past mental illness (OR = 341.1), previous experience of intimate partner violence (OR = 68.0), and having a partner who was unemployed (OR = 14.5). Although this study was on a small sample of women in one hospital in Japan and a larger population would make this study much stronger, these results suggest that some 6.9% of postpartum women in Japan may be at high-risk for child abuse and neglect. It is critical, therefore, to develop a system for screening, intervention, and referral for such women and their children.     

Risk terrain modeling predicts child maltreatment

As indicated by research on the long-term effects of adverse childhood experiences (ACEs), maltreatment has far-reaching consequences for affected children. Effective prevention measures have been elusive, partly due to difficulty in identifying vulnerable children before they are harmed. This study employs Risk Terrain Modeling (RTM), an analysis of the cumulative effect of environmental factors thought to be conducive for child maltreatment, to create a highly accurate prediction model for future substantiated child maltreatment cases in the City of Fort Worth, Texas. The model is superior to commonly used hotspot predictions and more beneficial in aiding prevention efforts in a number of ways: 1) it identifies the highest risk areas for future instances of child maltreatment with improved precision and accuracy; 2) it aids the prioritization of risk-mitigating efforts by informing about the relative importance of the most significant contributing risk factors; 3) since predictions are modeled as a function of easily obtainable data, practitioners do not have to undergo the difficult process of obtaining official child maltreatment data to apply it; 4) the inclusion of a multitude of environmental risk factors creates a more robust model with higher predictive validity; and, 5) the model does not rely on a retrospective examination of past instances of child maltreatment, but adapts predictions to changing environmental conditions. The present study introduces and examines the predictive power of this new tool to aid prevention efforts seeking to improve the safety, health, and wellbeing of vulnerable children.     

Using time-to-event analysis to identify preconception and prenatal predictors of child protective services contact

We examined preconception and prenatal predictors of time to first child protective services (CPS) contact among Alaska children. Data were from the Alaska Longitudinal Child Abuse and Neglect Linkage (ALCANLink) project, a population-representative data source linking 2009–2011 Alaska Pregnancy Risk Assessment Monitoring System (PRAMS) data with administrative data sources through 2015. We examined the incidence CPS contact using the Kaplan-Meier method and predictors of CPS contact using Cox proportional hazards regression. Using data from the Alaska Permanent Fund Dividend and Child Death Review, we censored children who emigrated out-of-state or died during the study period. Significant predictors included low socioeconomic status (HR = 2.23, 95% CI 1.68, 2.96), maternal smoking during pregnancy (HR = 1.87, 95% CI 1.55, 2.24), unmarried maternal marital status (HR = 1.62, 95% CI 1.31, 1.99), urban residence (HR = 1.59, 95% CI 1.32, 1.92), lower maternal education (HR = 1.54, 95% CI 1.24, 1.92), maternal experience of intimate partner violence in the 12 months before childbirth(HR = 1.32, 95% CI 1.01, 1.74), Alaska Native/American Indian race (HR = 1.40, 95% CI 1.15, 1.71), a greater number of living children (HR = 1.20, 95% CI 1.13, 1.29), a greater number of stressful life eventsin the 12 months before childbirth (HR = 1.16, 95% CI 1.11, 1.21), and younger maternal age at childbirth (HR = 0.95, 95% CI 0.93, 0.97). Use of multiple linked data sources and time-to-event analysis methods adds to the growing literature regarding predictors of CPS contact. Results suggest that assessing for and addressing clinical, social, and environmental indicators during the prenatal period may aid prevention efforts in mitigating family need for involvement with CPS.     

Prevalence and risk factors of child maltreatment among migrant families in China

Although cases of child abuse among migrant families are often reported by social media, the issue of child maltreatment among migrant families in China has received little empirical attention. This study investigated both the prevalence of child maltreatment by parents among migrant families, and the individual, family and community-level risk factors associated with child abuse in this context. A survey was conducted with 667 migrant and 496 local adolescents in Shenzhen, South China, with a stratified two-stage cluster sampling design. Logistic regression analysis was conducted to compare the prevalence of maltreatment between migrant and local adolescents, and also to explore risk factors associated with the psychological and physical maltreatment in both groups. The results showed that parent-to-child abuse was more prevalent among migrant than local adolescents, with migrant adolescents 1.490 and 1.425 times more likely to be psychologically and physically abused by their parents than their local counterparts. Low academic performance, delinquent behavior, family economic adversity and low parent attachment put migrant adolescents at increased risk of both psychological and physical maltreatment, and neighborhood disorganization was significantly related to psychological aggression among migrant adolescents. The findings confirm that child abuse perpetuated by parents is a serious problem in Mainland China, especially among migrant families, and implications for policy and practice are discussed.     

Development of a prediction model for child maltreatment recurrence in Japan: A historical cohort study using data from a Child Guidance Center

To develop a prediction model for the first recurrence of child maltreatment within the first year after the initial report, we carried out a historical cohort study using administrative data from 716 incident cases of child maltreatment (physical abuse, psychological abuse, or neglect) not receiving support services, reported between April 1, 1996 through March 31, 2011 to Shiga Central Child Guidance Center, Japan. In total, 23 items related to characteristics of the child, the maltreatment, the offender, household, and other related factors were selected as predictive variables and analyzed by multivariate logistic regression model for association with first recurrence of maltreatment. According to the stepwise selection procedure six factors were identified that include 9–13 year age of child (AOR = 3.43/95%CI = 1.52−7.72), <40 year age of the offender (AOR = 1.65/95%CI = 1.09−2.51), offender’s history of maltreatment during childhood (AOR = 2.56/95%CI = 1.31−4.99), household financial instability or poverty (AOR = 1.64/95%CI = 1.10−2.45), absence of someone in the community who could watch over the child (AOR = 1.68/95%CI = 1.16−2.44), and the organization as the referral source (AOR = 2.21/95%CI = 1.24−3.93). Using these six predictors, we generated a linear prediction model with a sensitivity and specificity of 45.2% and 82.4%, respectively. The model may be useful to assess the risk of further maltreatment and help the child and family welfare administrations to develop preventive strategies for recurrence.     

Risk factors for child neglect: A meta-analytic review

Knowledge of risk factors and their effects is vital for successfully preventing and reducing child neglect. This study provides a meta-analytic update of research on risk factors for child neglect. A total of 315 effect sizes were extracted from 36 primary studies and classified into 24 risk domains. Effects of 15 risk domains were significant and ranged from small (r = .110) to large (r = .372) in magnitude. Most risks were found at the parental level, such as having a history of antisocial behavior/criminal offending (r = .372); having a history of mental/psychiatric problems (r = . 259); having mental/physical problems (r = .207); and experiences of abuse in own childhood (r = .182). The effect of mother-related risk factors was not significantly different from the effect of father-related risk factors. It is concluded that child neglect is determined by multiple risk domains and that especially parent-related risk factors are important in preventing and reducing child neglect. Implications of the results for clinical practice are discussed.     

National survey of hospital child protection teams in Japan

This study aimed to investigate the penetration rate of child protection teams (CPTs) in medical institutions and associations between CPT functions and hospital services. We collected data in October of 2015 from 377 hospitals in Japan offering pediatric organ transplantation. The questionnaire included questions regarding the existence of a CPT, the number of child maltreatment cases discussed and reported per year, CPT functions including 21 items about staffing, manuals, meeting, prevention, education, and collaboration, and the services provided by the hospital. Of the 377 institutions, 122 (32.4%) answered the survey. There were significant associations between CPT functions and the number of pediatric beds (r = .27), number of pediatricians (r = .27), number of outpatients (r = .39), number of emergency outpatients (r = .28), and emergency medical care (p = .009). In a multiple regression analysis, CPT functions were significantly associated with the number of CPT members, pediatric outpatient numbers, and pediatric emergency outpatient numbers. Japan has no CPT guidelines that outline what CPTs should offer in terms of structure, staffing, functions, and systems. Hospitals with many pediatric and emergency outpatients are expected to play major roles in providing services such as specialty care, intensive care, and education. They are also expected to play a role in detecting and managing child maltreatment, and have, by their own initiative, improved their capacities to achieve these goals.     

Risk factors for fatal and non-fatal child maltreatment in families previously investigated by CPS: A case-control study

The objective of this study was to identify individual, family and caregiver risk factors for serious child maltreatment, resulting in hospitalization or death, among children and families investigated by Child Protective Services (CPS). We conducted a matched case-control study of 234 children who sustained fatal or serious nonfatal maltreatment due to physical abuse or neglect and whose mother was named in a CPS investigation between 1999 and 2013. A total of 702 children and their caregivers were included in the study with 234 cases matched 2:1,resulting in 468 controls. Data on potential risk factors were abstracted from three county administrative databases. Differences between cases and controls were calculated and multivariable conditional logistic regression was used to estimate risk models. Variables associated with increased risk for serious maltreatment included male child gender,younger caregivers, three or more children under the age of 5 living in the home, families in which a biologic child was not living with either parent, and scoring moderate or high on the Structured Decision Making Risk Tool^®. Caregiver involvement in intimate partner violence (IPV) and child enrollment in public health insurance appears to mitigate the risk of serious maltreatment.     

Less money,more problems: How changes in disposable income affect child maltreatment

A number of research studies have documented an association between child maltreatment and family income. Yet, little is known about the specific types of economic shocks that affect child maltreatment rates. The paucity of information is troubling given that more than six million children are reported for maltreatment annually in the U.S. alone. This study examines whether an exogenous shock to families’ disposable income, a change in the price of gasoline, predicts changes in child maltreatment. The findings of a fixed-effects regression show that increases in state-level gas prices are associated with increases in state-level child maltreatment referral rates, even after controlling for demographic and other economic variables. The results are robust to the manner of estimation; random-effects and mixed-effects regressions produce similar estimates. The findings suggest that fluctuations in the price of gas may have important consequences for children.     

Community interaction and child maltreatment

The way in which parents interact with their environment may have implications for their likelihood of abuse and neglect. This study examines the parent–environment relationship through community involvement and perception, using social disorganization theory. We hypothesize mothers who participate in their communities and have positive perceptions of them may be less likely to maltreat their children because of the potential protective capacity of neighborhood supports. Using information from the 5 year Fragile Families and Child Wellbeing Study (n = 2991), the mother's self-reported acts of psychological and physical maltreatment and neglect are measured. A mother's community involvement index is the number of community activities a mother was involved in, and community perception is measured by two five-item Likert scales assessing perception of community collective efficacy. We analyze the relationship between community variables and each of mother's maltreatment behaviors as well as the interaction between community factors using a series of nested logistic regressions. Higher levels of community involvement are associated with lower levels of psychological aggression. More positive perception of community social control is associated with lower levels of physical assault. A moderation effect of community perception suggests that a mother's perception of her community changes the relationship between community involvement and psychological child abuse. The results provide important policy and empirical implications to build positive and supportive communities as a protective factor in child maltreatment. Getting parents involved in their communities can improve the environment in which children and families develop, and decrease the likelihood that maltreatment will occur.     

Child maltreatment and risk patterns among participants in a child abuse prevention program

The relationship between risk factors and Child Protective Services (CPS) outcomes in families who participate in home visiting programs to prevent abuse and neglect and who are reported to CPS is largely unknown. We examined the relationship between parental risk factors and the substantiation status and number of CPS reports in families in a statewide prevention program. We reviewed CPS reports from 2006 to 2008 for families in Connecticut's child abuse prevention program. Six risk factors (histories of CPS, domestic violence [DV], mental health, sexual abuse, substance abuse, and criminal involvement) and the number of caregivers were abstracted to create risk scores for each family member. Maltreatment type, substantiation, and number of reports were recorded. Odds ratios were calculated. Of 1,125 families, 171 (15.6%) had at least one CPS report, and reports of 131 families were available for review. Families with a substantiated (25.2%) versus unsubstantiated (74.8%) first report had a high number of paternal risk factors (OR = 6.13, 95% CI [1.89, 20.00]) and were more likely to have a history of maternal DV (OR = 8.47, 95% CI [2.96, 24.39]), paternal DV (OR = 11.23, 95% CI [3.33, 38.46]), and maternal criminal history (OR = 4.55; 95% CI [1.32, 15.60]). Families with >1 report (34.4%) versus 1 report (65.6%) were more likely to have >3 caregivers, but this was not statistically significant (OR = 2.53, 95% CI [0.98, 6.54]). In a prevention program for first-time families, DV, paternal risk, maternal criminal history, and an increased number of caregivers were associated with maltreatment outcomes. Targeting parental violence may impact child abuse prevention.     

Unintended pregnancy as a predictor of child maltreatment

Whereas child maltreatment research has developed considerable evidence on post-natal risk-factors, pre-natal circumstances have been largely overlooked. The circumstances surrounding a pregnancy may considerably impact the environment in which later parenting behaviors occur. This study examines one of the earliest potentially identifiable risk-factors for child maltreatment: the intentions of a pregnancy. Utilizing both mother and father reports, this study focuses on maltreatment risk, as it relates with both parents’ perspectives of the pregnancy's intention. Drawing upon data from the Fragile Families and Child Well Being study, a longitudinal, birth cohort study, survey questions were used that asked parents, at the time of the birth, whether they considered abortion for the child. Unintended pregnancy demonstrates predictive value as one of the earliest identifiable risk-factors for child maltreatment. Regardless of whether the mother or father reported the unintended pregnancy, the relationship with maltreating behavior is largely the same, although for different maltreatment types. Mothers’ reports of unintended pregnancy are associated with psychological aggression, and neglect. Fathers’ reports of unintended pregnancy are associated with physical aggression. Fathers’ perspectives regarding pregnancy intentions matter just as much as mothers,’ and accounting for their perspectives could be important in understanding the maltreating behaviors of both parents. Identifiable in the earliest stages of caregiving, unintended pregnancy may be an important risk-factor in predicting and understanding child maltreatment.     

The prevalence of child maltreatment in the Netherlands across a 5-year period

The prevalence of child maltreatment in the Netherlands was in 2005 first systematically examined in the Netherlands’ Prevalence study on Maltreatment of children and youth (NPM-2005), using sentinel reports and substantiated CPS cases, and in the Pupils on Abuse study (PoA-2005), using high school students’ self-report. In this second National Prevalence study on Maltreatment (NPM-2010), we used the same three methods to examine the prevalence of child maltreatment in 2010, enabling a cross-time comparison of the prevalence of child maltreatment in the Netherlands. First, 1,127 professionals from various occupational branches (sentinels) reported each child for whom they suspected child maltreatment during a period of three months. Second, we included 22,661 substantiated cases reported in 2010 to the Dutch Child Protective Services. Third, 1,920 high school students aged 12–17 years filled out a questionnaire on their experiences of maltreatment in 2010. The overall prevalence of child maltreatment in the Netherlands in 2010 was 33.8 per 1,000 children based on the combined sentinel and CPS reports and 99.4 per 1,000 adolescents based on self-report. Major risk factors for child maltreatment were parental low education, immigrant status, unemployment, and single parenthood. We found a large increase in CPS-reports, whereas prevalence rates based on sentinel and self-report did not change between 2005 and 2010. Based on these findings a likely conclusion is that the actual number of maltreated children has not increased from 2005 to 2010, but that professionals have become more aware of child maltreatment, and more likely to report cases to CPS.     

Child maltreatment in the “Children of the Nineties:” deprivation, class, and social networks in a UK sample

Aim: To determine risk factors for child maltreatment within the socio-economic environment of a contemporary UK child population.Methods: The research is based on a large cohort study, the Avon Longitudinal Study of Parents and Children. Out of 14,256 children participating in the study, 115 have been identified as having been placed on local child protection registers prior to their 6th birthday. Data on the socio-economic environment of the families have been obtained from a series of questionnaires administered during pregnancy and the first 3 years of life. Risk factors have been analyzed using logistic regression analysis.Results: Four indicators of deprivation all showed significant relationships with registration. Adjusted odds ratios were 2.33 for paternal unemployment; 7.65 for council housing; 2.16 for overcrowding; and 2.33 for car ownership. There was a strong relationship between the number of indicators of deprivation and the risk of maltreatment. In a second model, maternal unemployment, high mobility (> 3 house moves in the previous 5 years) and a poor social network were also significant with odds ratios of 2.82, 2.81, and 3.09, respectively.Conclusions: This study confirms the importance of social factors in the etiology of child maltreatment. Social deprivation is an important determinant of child maltreatment, and encompasses a number of different aspects, including financial security, housing situation and material benefits; in addition, the job situation of the parents and the stability and richness of their social networks all have a significant impact on risk of maltreatment. Interventions at both an individual and a community level are important to support families and reduce the risk of maltreatment.