Each bar reflects an effect size (success rate difference) from comparing different CM groups with the non-CM group. Effect sizes of 0.1, 0.3, and 0.4 are considered small, medium, and large, respectively. With the exception of the 1 type, S only (n = 14) bars, all displayed bars are significant at P < .01. Even the most mild form of CM was serious enough to reach the threshold for documentation. E indicates emotional abuse; N, neglect; P, physical abuse; and S, sexual abuse.
The size of the circles is proportional to the number of children who experienced each type of maltreatment, and the amount of overlap between the circles is proportional to the co-occurrence of maltreatment types. E indicates emotional abuse; N, neglect; P, physical abuse; and S, sexual abuse.
Prospectively assessed child maltreatment (CM) variables are presented on the left side and psychiatric outcome variables on the right side. One-headed arrows leading from the latent variables to their indicators represent standardized factor loadings, which are all significant at P < .001. One-headed arrows leading from the latent CM variables to the latent psychiatric variables represent standardized regression paths, the predictive portion of the model. Double-headed arrows represent correlations. CCQ indicates California Child Q-Set; CDI, Children’s Depression Inventory; Emot, emotional abuse; EXT, externalizing; INT, internalizing; Negl, neglect; Peer, peer ratings; Phys, physical abuse; and TRF, Teacher Report Form.
aRegression paths are significant at P < .001.
eAppendix 1. Recruitment and Classification Procedures
eAppendix 2. Procedure
eTable. Number of Attendees
Vachon DD, Krueger RF, Rogosch FA, Cicchetti D. Assessment of the Harmful Psychiatric and Behavioral Effects of Different Forms of Child Maltreatment. JAMA Psychiatry. 2015;72(11):1135-1142. doi:10.1001/jamapsychiatry.2015.1792
Several widely held beliefs about child abuse and neglect may be incorrect. It is most commonly assumed that some forms of abuse (eg, physical and sexual abuse) are more harmful than others (eg, emotional abuse and neglect); other assumptions are that each form of abuse has specific consequences and that the effects of abuse differ across sex and race.
To determine whether widely held assumptions about child abuse and neglect are valid by testing the hypothesis that different types of child maltreatment (CM) actually have equivalent, broad, and universal effects.
Design, Setting, and Participants
This observational study assessed 2292 racially and ethnically diverse boys (1254 [54.7%]) and girls (1038 [45.3%]) aged 5 to 13 years (mean [SD] age, 9.0 [2.0] years) who attended a research summer camp program for low-income, school-aged children from July 1, 1986, to August 15, 2012. Of these children, 1193 (52.1%) had a well-documented history of maltreatment. Analysis was conducted from September 25, 2013, to June 1, 2015.
Main Outcomes and Measures
Various forms of internalizing and externalizing personality and psychopathologic traits were assessed using multiple informant ratings on the California Child Q-Set and Teacher Report Form as well as child self-reported depression and peer ratings of aggression and disruptive behavior.
Structural analysis showed that different forms of CM have equivalent psychiatric and behavioral effects, ranging from anxiety and depression to rule-breaking and aggression. We also found that nonsexual CM alters 2 broad vulnerability factors, internalizing (β = 0.185; SE = 0.028; P < .001) and externalizing (β = 0.283; SE = 0.023; P < .001), that underlie multiple forms of psychiatric and behavioral disturbance. We show that CM has comparable consequences for boys and girls of different races, and our results allowed us to describe a base rate and co-occurrence issue that makes it difficult to identify the unique effects of child sexual abuse.
Conclusions and Relevance
Our findings challenge widely held beliefs about how child abuse should be recognized and treated—a responsibility that often lies with the physician. Because different types of child abuse have equivalent, broad, and universal effects, effective treatments for maltreatment of any sort are likely to have comprehensive psychological benefits. Population-level prevention and intervention strategies should emphasize emotional abuse, which occurs with high frequency but is less punishable than other types of child maltreatment.
Worldwide prevalence estimates suggest that child physical abuse (8.0%), sexual abuse (1.6%), emotional abuse (36.3%), and neglect (4.4%) are common.1,2 These forms of abuse and neglect are collectively referred to as child maltreatment (CM). At least 4 assumptions pervade the scientific literature on CM: (1) harmfulness (CM causes substantial harm), (2) nonequivalence (some forms of CM are more harmful than others), (3) specificity (each form of CM has specific consequences), and (4) nonuniversality (the effects of CM differ across sex and race).
The strongest assumption is that CM causes harm. In a meta-analysis, nonsexual forms of CM (physical abuse, emotional abuse, and neglect) were associated with a wide range of mental health problems, including depression, anxiety, eating disorders, substance use, and suicidal behavior.3 Evidence from research on sexual abuse is less consistent. Although early literature reviews concluded that child sexual abuse predicts a range of psychiatric outcomes,4- 6 later meta-analyses based on community samples7 and college samples8 suggested that child sexual abuse is weakly associated with later adjustment problems. Unsurprisingly, these findings are controversial9 and have been criticized10,11 and defended12,13 on several occasions.
The nonequivalence assumption is evident in the legal system, where some forms of CM are felonies but others are legal, and in the scientific literature, which focuses predominantly on sexual and physical abuse.14 However, meta-analytic data do not show appreciable differences in harm across types of CM.3 Furthermore, study-level comparisons are confounded by differences in samples and methods, and individual-level comparisons are rare and usually fail to model patterns of CM co-occurrence. The ubiquity of the assumption of nonequivalence must therefore be based on factors other than comparative evidence of harm, such as cultural mores and differences in the ability to measure and document maltreatment.
The specificity assumption is based on early studies suggesting that certain exposures may be linked to particular mental health outcomes.15,16 However, subsequent evidence suggests that various forms of CM may have nonspecific, widespread effects on mental health.13,16,17 An unanswered question is whether such widespread effects are the result of CM affecting common factors that underlie multiple psychiatric disorders.
The nonuniversality assumption has received occasional support from research showing sex differences18 and racial differences19 in outcomes related to CM, motivating some to recommend treatments tailored to sex and race.20 However, research in this area is scarce, and few studies have directly statistically tested sex or race as a moderator. Prevalence rates may differ between populations, as might various risk factors and service response variables, but the question whether the effects of CM generalize across populations remains unanswered.
To test each assumption and overcome the limitations of previous research, this study rigorously assesses multiple forms of CM, relates them structurally, and uses them to predict a broad range of ensuing maladjustment in a large, racially diverse sample of boys and girls aggregated over 27 years. We hypothesized that our results would correspond with meta-analytic evidence supporting the assumption of harm; otherwise, our results would contradict the other assumptions, including nonequivalence, specificity, and nonuniversality. That is, we hypothesized that different forms of CM would have equivalent, broad, and universal consequences. Such findings would have substantial etiologic, clinical, and legal implications.
We studied 2292 children aged 5 to 13 years (mean [SD] age, 9.0 [2.0] years) who attended a summer camp research program designed for school-aged low-income children. Data were collected each year from July 1, 1986, to August 15, 2012. Analysis was conducted from September 25, 2013, to June 1, 2015. Some children attended the camp for multiple years; the data from their first year of attendance were used in the current study. The study design specified recruitment of both maltreated children (n = 1193) and nonmaltreated children (n = 1099). A total of 1254 (54.7%) participants were boys. The maltreated and nonmaltreated children were comparable in terms of racial/ethnic diversity and family demographic characteristics.21 The National Longitudinal Study of Adolescent to Adult Health system for coding race and ethnicity was used.22 The sample was 60.4% (n = 1382) African American (73 [5.3%] Hispanic), 31.0% (n = 711) white (261 [36.8%] Hispanic), and 8.6% (n = 197) from other racial groups (6 [3.2%] Hispanic). The families of the children were low income, with 2180 (95.1%) of the families having a history of receiving public assistance. Single mothers headed 1442 (62.9%) of the families.
This research was reviewed and approved by the University of Rochester Institutional Review Board. Full details regarding the recruitment of participants, classification of CM, and study procedure are provided in eAppendix 1, eAppendix 2, and the eTable in the Supplement. Briefly, parents of all maltreated and nonmaltreated children provided informed written and verbal consent for their child’s participation as well as consent for examination of any Department of Human Services (DHS) records pertaining to the family. Comprehensive searches of DHS records were completed, and maltreatment information was coded using operational criteria from maltreatment nosologic specifications in the Maltreatment Classification System (MCS).23 The whole sample was representative of the children in families receiving services from the DHS.
Consistent with national demographic characteristics of families with maltreated children,24 the children were predominantly from families of low socioeconomic status (SES). Consequently, demographically comparable nonmaltreated children were recruited from families receiving Temporary Assistance for Needy Families. To verify the absence of CM in these families, DHS records were searched, mothers were interviewed using the Maternal Maltreatment Classification Interview,23 and record searches were conducted in the year following camp attendance to verify that all available information had been accessed. Only children from families without any history of documented abuse or neglect were retained in the nonmaltreatment group.
The MCS is a reliable and valid method for classifying maltreatment that uses DHS records detailing investigations and findings involving maltreatment in identified families over time.23 Rather than relying on official designations and case dispositions, the MCS codes all available information from DHS records, making independent determinations of maltreatment experiences. Coding of the DHS records was conducted by trained raters who demonstrated acceptable reliability with the criterion (weighted κ with the criterion ranging from 0.86 to 0.98). Reliabilities for the presence vs absence of maltreatment subtypes ranged from 0.90 to 1.00.
Children attended a weeklong day camp program, in which they were assigned to groups of 8 to 10 peers of the same age and same sex; half of the children assigned to each group were maltreated.25 Each group was conducted by 3 trained camp counselors, who were unaware of the maltreatment status of children and the hypotheses of the study. During the week, camp provided 35 hours of interaction between children and counselors. In addition to the recreational activities, after providing written and verbal assent, children participated in various research assessments. Clinical consultation and intervention occurred if any concerns regarding danger to self or others emerged during research sessions. At the end of the week, children in each group completed sociometric ratings of their peers. The counselors, who had been trained extensively for 2 weeks prior to the camp, also completed assessment measures on individual children based on their observations and interactions with children in their respective groups.
The camp context and associated measurement battery allowed for views of a child’s adaptive functioning from multiple perspectives. Measures included child self-report, peer ratings of behavior, and reports from counselors. These measures provided emotional, behavioral, and temperament indicators of the internalizing and externalizing spectra, the 2 broad factors that underlie common psychiatric disorders.26
The Children’s Depression Inventory (CDI)27 is a widely used self-report questionnaire to assess depressive symptoms in school-aged children. Internal consistency for the total scale has ranged from 0.71 to 0.89, and validity has been well established.27 In the current sample, scores on the CDI ranged from 0 to 42 (mean [SD], 8.9 [7.5]).
On the last day of summer camp, children evaluated the characteristics of their peers in their respective camp groups. Children were given behavioral descriptors characterizing different types of social behavior and asked to select 1 peer from the group who best fit the behavioral description. Descriptors included a child who was disruptive and a child who was a fighter. The total number of nominations that each child received from peers in both categories was determined, and these totals were converted to proportions of the possible nominations in each category. Scores in each category were standardized within each year of camp.
Behavioral symptoms were evaluated at the end of each week by counselors’ completion of the Teacher Report Form (TRF)28 and the California Child Q-Set (CCQ).29 The TRF is a widely used and validated instrument to assess a child’s symptoms from the perspective of teachers; the TRF was used in our study because camp counselors are able to observe children’s behavior in a way similar to that of teachers. The CCQ consists of statements about traits that represent major facets of personality. Counselors’ scores on the TRF and CCQ were averaged to obtain individual child scores. Interrater reliability across all scales, based on average intraclass correlations among pairs of raters, ranged from 0.56 to 0.88 (mean, 0.76).
Figure 1 and Figure 2 display differences between nonmaltreated children and specific subgroups of maltreated children. Because some psychiatric outcomes are skewed, differences between groups are represented using the nonparametric success rate difference effect size; values of 0.1, 0.3, and 0.4 represent small, medium, and large effects, respectively.30 Also displayed are the number of cases per CM category; the effect sizes for type, variety, and frequency of CM; and severity across psychological outcomes. Figures 1 and 2 distinguish between measures of internalizing and externalizing, 2 broad factors that underlie personality and psychopathologic disorders.26 Overall, these subgroup comparisons show that abused and neglected children experience all types of maladjustment at significantly higher rates than their nonmaltreated counterparts and that this maladjustment increases as CM grows more diverse, frequent, and severe.
Figure 3 displays the rate of co-occurrence between the different types of CM. The size of the circles in Figure 3 is proportional to the number of children who experienced each type of CM, and the amount of overlap between circles is proportional to the co-occurrence of CM types. Only 14 maltreated children (1.0%) experienced sexual abuse without another type of CM.
Although subgroup comparisons support the assumption that CM is psychologically harmful, overlap among CM types and psychiatric outcomes is substantial. Thus, structural modeling is needed to disentangle these effects and directly test assumptions of nonequivalence, specificity, and nonuniversality.
Structural equation modeling and measurement invariance models were fit using Mplus.31 In the structural model, independent variables were 4 types of previously documented CM, each with 3 indicators representing the number of documented CM events committed by 3 different perpetrators (mother, father, and other). Dependent variables were self-, peer-, and counselor-rated psychological factors modeled as indicative of latent internalizing and externalizing factors. Because the threshold for legal documentation of CM was high, maltreatment indicators were modeled as censored from below. For this type of analysis, the default Mplus estimator is maximum likelihood estimation with robust standard errors (MLR). Initially, the 4 types of CM were modeled separately. However, under this initial model there were extremely high correlations among physical abuse, emotional abuse, and neglect (average correlation, 0.82). Multicollinearity among these variables produced partial regression coefficients that were in the opposite direction of theory and of implausible magnitude (eg, physical and emotional abuse were strongly associated with positive outcomes); this consequence is typical of multicollinearity.32 Therefore, physical abuse, emotional abuse, and neglect were modeled as indicators of a single nonsexual CM variable.
Displayed in Figure 4 is the final structural model, with prospectively assessed CM variables on the left side and psychological outcome variables on the right side. Arrows leading from the CM variables to the psychological variables represent regression paths, the predictive portion of the model. The child’s age and year of camp attendance were statistically controlled, although for the sake of clarity these 2 controls were omitted from the Figure. Two internalizing factor loadings were of modest size, including the loadings for the TRF Somatic Complaints scale and the CDI Depression scale. However, the TRF Somatic Complaints scale has the lowest co-occurrence rates with the other TRF syndromes,33 and the correspondence between child self-reported depression and parent or teacher reports of child depression is typically low.34 Both scales were retained because somatic symptoms are a common feature of adult internalizing disorders, and symptoms of childhood depression are not easily detected by an informant; the latent variable (internalizing) captures shared variance across sources, thus mitigating informant discrepancies.35
The full structural model was used to examine each of the 4 assumptions regarding the effects of CM, including whether CM significantly predicts psychiatric disturbances (harmfulness), whether some types of CM more strongly predict psychiatric disturbances than others (nonequivalence), whether CM predicts specific types of psychiatric disturbances incremental to the underlying internalizing and externalizing factors (specificity), and whether the full structural model varies across sex and race (nonuniversality).
In support of the harmfulness assumption, nonsexual forms of CM, including physical abuse, emotional abuse, and neglect, significantly predicted both internalizing (β = 0.185; SE = 0.028; P < .001) and externalizing (β = 0.283; SE = 0.023; P < .001) after accounting for age and year of camp attendance. In line with previous meta-analytic evidence, sexual CM was not significantly related to internalizing or externalizing.
Contrary to the nonequivalence assumption, the structural model indicates equivalence between different forms of CM. With the exception of sexual CM, which was not predictive of psychiatric outcomes, nonsexual forms of CM load heavily on a single factor (factor loadings ranged from 0.96 to 0.98).
Contrary to the specificity assumption, the structural model indicates nonspecificity. Greater frequency of nonsexual CM predicts greater rates of internalizing and externalizing; beyond these effects, however, CM does not predict specific psychiatric outcomes. In each of 20 analyses, the structural model in Figure 2 was altered to add a direct pathway between CM and a specific psychiatric outcome (eg, anxiety). In all 20 cases (2 CM predictors, 10 psychiatric outcomes), the specific regression coefficient was very small (β < .02 for all) and not significant.
Contrary to the nonuniversality assumption, invariance analyses indicate generalizability of effects across groups in the structural model. For sex and race, the Table presents fit statistics for 3 models that allow factor loadings, intercepts, and regressions to vary across groups; set factor loadings and intercepts equal across groups to evaluate strong measurement invariance; and set regressions equal across groups to evaluate structural invariance. For both sex and race, the improvement in fit (ie, generally lower values for fit statistics) across models indicates both measurement and structural invariance.
Our results suggest that physical abuse, emotional abuse, and neglect are equivalent insults that affect broad psychiatric vulnerabilities. Our results also highlight an important problem—one that may explain mixed findings in the literature on child sexual abuse. Specifically, child sexual abuse is an infrequent event that is almost always accompanied by other types of CM. This pattern of rarity and lopsided co-occurrence has several consequences. First, it poses a statistical constraint that severely attenuates the correlation between sexual and nonsexual CM. For example, if nearly all people with a given disorder are men but very few men have that disorder, then sex will be nearly uncorrelated with the disorder (despite the fact that almost all cases are in men). This constraint explains why sexual CM and nonsexual CM are weakly correlated factors in our structural model: whereas 89% of cases of sexual CM are accompanied by nonsexual CM, only 9% of cases of nonsexual CM are accompanied by sexual CM.
Second, there is no practical way to understand the specific consequences of sexual CM because its correlates may be attributed to other forms of co-occurring CM. Statistically controlling for co-occurring CM removes what little covariation is left after the attenuation caused by unidirectional redundancy, further gutting the variance in the sexual abuse variable and producing unreliable parameter estimates. Alternatively, cases of “pure” sexual abuse (without co-occurring CM) are extremely rare and unrepresentative. This intractable issue may explain why research on sexual CM produces mixed results. The infrequency of sexual CM combined with its unidirectional redundancy with nonsexual CM attenuates their correlation and undermines efforts to identify the effects of sexual abuse, which are almost certainly detrimental. As such, previous meta-analyses of the literature on child sexual abuse7,8 may produce misleading results.
This study also partially addresses a potentially confounding variable: SES. Because factors associated with low SES predict the occurrence of both CM36 and mental illness,37 low SES may explain the association between CM and psychopathologic disorders. In the current study, all children were sampled from families with low SES, attenuating this potential SES confounder. However, a different pattern of results may be found in populations with higher SES.
Sexual abuse may be an underreported type of CM that is difficult for child protection agencies to substantiate. Thus, an important limitation to overcome is collecting data on these missed cases; doing so may also help address the methodologic problem of rarity and lopsided co-occurrence. Other limitations of this study include reliance on official documentation, absence of data regarding psychopathologic disorders prior to CM, and use of psychological reports from counselors and children who only knew the participants in the camp setting.
Complex etiologic models of the effects of CM on mental health may be less illuminating than parsimonious models emphasizing pathways to broad vulnerability factors. Evidence suggests this finding may also be true more generally of childhood adversity.17 Thus, treatments tailored to specific types of abuse, to populations, or to outcomes may be less effective than those aimed at mitigating early changes in the neurobiological and temperamental factors that dispose individuals toward psychopathologic disorders. Such treatments are likely to have broad and comprehensive benefits. Finally, population-level prevention and intervention strategies should not ignore the considerable psychological harms imposed by emotional abuse, which rival those of physical abuse and neglect. Taken together with high worldwide prevalence2 and evidence that emotional and physical pain share a common somatosensory representation in the brain,38,39 it is clear that emotional abuse is widespread, painful, and destructive.
Submitted for Publication: June 5, 2015; final revision received August 3, 2015; accepted August 4, 2015.
Corresponding Author: Robert F. Krueger, PhD, Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN 55455 (email@example.com).
Published Online: October 14, 2015. doi:10.1001/jamapsychiatry.2015.1792.
Author Contributions: Dr Vachon had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Vachon, Rogosch, Cicchetti.
Acquisition, analysis, or interpretation of data: Krueger, Rogosch, Cicchetti.
Drafting of the manuscript: Vachon.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Vachon, Krueger.
Obtained funding: Rogosch, Cicchetti.
Administrative, technical, or material support: Rogosch, Cicchetti.
Study supervision: Krueger, Rogosch, Cicchetti.
Conflict of Interest Disclosures: None reported.
Funding/Support: This research was supported in part by grant DA036282 (Dr Vachon) and grants DA12903 and DA1774 (Drs Cicchetti and Rogosch) from the National Institute on Drug Abuse, grant MH083979 from the National Institute of Mental Health (Drs Cicchetti and Rogosch), and a grant from the Spunk Fund, Inc (Dr Cicchetti).
Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Additional Contributions: We would like to thank the children, families, counselors, and research staff at the Mount Hope Family Center, Rochester, New York, who participated in this work.