(n=123)
Children completed a task assessing both cognitive and affective components of theory of mind during the first study visit ( Figure 1 ). This task has been used in prior research on theory of mind with older children and adolescents ( Sebastian et al., 2012 ). Stimuli were 30 cartoons depicting a story that appeared in three frames. Before each trial, an instruction screen with the text “ What happens next? ” appeared for 3 seconds. One cartoon then appeared in sequence, with each of the three frames displayed for 2 seconds before the next frame appeared (6 seconds total). Following presentation of the cartoon, two response options appeared and participants were asked to select the appropriate conclusion to the story depicted in the cartoon using a key press response. There was no time limit with which they had to make a response. The cartoons were divided into three conditions: cognitive theory of mind, affective theory of mind, and physical causality. Trials in the cognitive theory of mind condition required children to interpret the thoughts, beliefs, and intentions of the characters in the story, whereas trials in the affective theory of mind condition required children to interpret how one character was likely to respond emotionally to another character. In contrast, physical causality cartoons simply required children to understand cause and effect relationships (e.g., that sunshine will cause snow to melt) but did not require understanding of the mental states of other people. The physical causality condition is typically included as control condition for neuroimaging studies ( Sebastian et al., 2012 ) but is of no interest to the study questions examined here. These trials were included as we wanted to use a task that has been previously validated in the age range of our sample and it was unclear how removing these trials might alter performance on the conditions of interest. The order of cartoon presentation was randomized across participants. Cognitive and affective theory of mind accuracy scores reflect the proportion of correctly answered items within each respective condition. Reaction time scores were calculated by averaging the participants response times across items within each condition.
Theory of Mind Task. Cognitive and affective theory of mind were assessed using a task designed to be developmentally appropriate for children and adolescents ( Sebastian et al., 2012 ). Participants viewed cartoon stories and were asked to select the appropriate ending. Some trials require the ability to imagine another person’s thoughts or beliefs (cognitive) and others require the ability to imagine another’s feelings (affective). A control condition simply requires understanding of physical causal relationships (e.g., heat melts snow).
We used a multi-informant, multi-method approach for assessing exposure to child maltreatment. Children completed two interview measures with a trained member of our research team assessing child maltreatment experiences and exposure to interpersonal violence: the Childhood Experiences of Care and Abuse (CECA) Interview ( Bifulco, Brown, & Harris, 1994 ) and the Violence Exposure Scale for Children-Revised (VEX-R) ( Raviv et al., 2001 ; Raviv, Raviv, Shimoni, Fox, & Leavitt, 1999 ). The CECA assesses caregiving experiences, including physical and sexual abuse and emotional neglect. We modified the interview to ask parallel questions about witnessing domestic violence (i.e., directly observing violence directed at a caregiver). Inter-rater reliability for maltreatment reports is excellent, and validation studies suggest high agreement between siblings on maltreatment reports ( Bifulco, Brown, Lillie, & Jarvis, 1997 ). The VEX-R assesses the frequency of exposure to different forms of violence. Children are presented with a cartoon and caption depicting a child of the same sex witnessing a type of violence (e.g., “Chris sees a person slap another person really hard”) and experiencing that same type of violence (e.g., “A person slaps Chris really hard”). Children are then asked to report how frequently they have witnessed or experienced that type of violence (e.g., “How many times have you seen a person slap another person really hard?”; “How many times has a person slapped you really hard?”) on a Likert scale ranging from 0 (Never) to 3 (Lots of times). We added follow-up questions for each item that was endorsed to gather additional information (e.g., the perpetrator, age of onset). The VEX-R demonstrates good reliability and has been validated with children as young as second grade ( Raviv, et al., 2001 ; Raviv, et al., 1999 ).
Children also completed two self-report measures: the Childhood Trauma Questionnaire (CTQ) ( Bernstein, Ahluvalia, Pogge, & Handelsman, 1997 ) and the UCLA PTSD Reaction Index (PTSD-RI) ( Steinberg, Brymer, Decker, & Pynoos, 2004 ). The CTQ is a 28-item scale that assesses the frequency of maltreatment during childhood, including physical, sexual, and emotional abuse. Validated thresholds for exposure to physical, sexual, and emotional abuse ( Walker et al., 1999 ) were applied here in evaluating abuse exposure based on the CTQ. The CTQ has excellent psychometric properties including internal consistency, test-retest reliability, and convergent and discriminant validity with interviews and clinician reports of maltreatment ( Bernstein, et al., 1997 ; Bernstein, Fink, Hondelsman, Foote, & Lovejoy, 1994 ). To adapt this measure for children under the age of 12, a trained experimenter read the items out loud to ensure that the child understood the questions and the responses. The PTSD-RI includes a trauma screen that assesses exposure to numerous traumatic events, including physical abuse, sexual abuse, and domestic violence and additionally assesses PTSD symptoms. The PTSD-RI has good internal consistency and convergent validity ( Steinberg et al., 2013 ).
Caregivers completed three self-report measures: the Conflict Tactics Scale-Parent Child Version (CTS) ( Straus, Hamby, Finkelhor, Moore, & Runyan, 1998 ), the Juvenile Victimization Questionnaire (JVQ) lifetime caregiver report ( Finkelhor, Hamby, Ormrod, & Turner, 2005 ), and the caregiver version of the PTSD-RI. The CTS includes 22 items assessing caregiver responses to child disobedience or misbehavior in the past year. Caregivers indicate how frequently they have used each strategy (e.g., shook him/her) on a Likert scale ranging from 0 (This has never happened) to 6 (more than 20 times in the past year) and can also indicate if they have used the strategy in the past but not in the last year. The CTS has adequate reliability and good discriminant and construct validity ( Straus, et al., 1998 ). The JVQ includes 34 items assessing exposure to crime, child maltreatment, peer and sibling victimization, sexual victimization, and witnessing and indirect victimization and has excellent psychometric properties, including test-retest reliability and construct validity ( Finkelhor, et al., 2005 ). Caregivers endorsed whether their child had experienced each event in his/her lifetime. Caregivers also completed the trauma screen included in the PTSD-RI, described above. A trained interviewer followed up with the caregiver if the endorsed any form of abuse or domestic violence to gather additional information about the experience.
Children were classified as experiencing physical or sexual abuse if abuse was endorsed by the child (on the CECA interview, PTSD-RI trauma screen, or above the validated CTQ threshold) or parent (on the CTS, JVQ, or PTSD-RI trauma screen). A total of 121 children (49.2%) experienced physical or sexual abuse. Inter-rater reliability was good for child and caregiver reports (82.0% agreement; kappa=0.62). Exposure to emotional abuse (on the CECA, or above the validated CTQ threshold) and domestic violence (on the VEX-R interview or PTSD-RI trauma screen) was determined based on child report only. A total of 76 children (30.9%) reported experiencing emotional abuse and 94 (38.2%) reported witnessing domestic violence. For the children exposed to violence, we created a categorical variable to reflect whether they had experienced one, two, or all three kinds of violence. Among these children (n=123), 42.3% (n=52) were exposed to one type of violence, 19.6% (n=28) were exposed to two types of violence, and 35.0% (n=43) were exposed to all three types of violence. Finally, we used the total score on the VEX-R as a continuous variable to reflect the frequency of exposure to all forms of violence experienced by each child.
During the first study visit, children and caregivers completed the Youth Self-Report (YSR) and Child Behavior Checklist (CBCL) ( Achenbach, 1991 ). The YSR/CBCL scales are among the most widely used measures of youth emotional and behavioral problems and use extensive normative data to generate age-standardized estimates of symptom severity. Although originally designed for youth 11 to 18 years of age, multiple studies have demonstrated reliability and validity of the YSR among younger children ( Ebesutani, Bernstein, Martinez, Chorpita, & Weisz, 2011 ; Kolko & Kazdin, 1993 ; Yeh & Weisz, 2001 ). Self-reported psychopathology was assessed using the broad-band externalizing scale, comprised of rule-breaking behavior (e.g., “I don’t feel guilty after doing something I shouldn’t”) and aggressive behavior (e.g., “I physically attack people”) subscales. The externalizing scale has demonstrated validity in discriminating between youths with and without psychiatric disorders ( Achenbach, 1991 ; Chen, Faraone, Biederman, & Tsuang, 1994 ; Seligman, Ollendick, Langley, & Baldacci, 2004 ). We used the highest T-score from the parent or child report for this measure.
Clinical interviews were completed with children and caregivers in the sub-sample (n=168) who completed the second study visit. Specifically, we administered the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS) – Present and Lifetime Version ( Kaufman et al., 1997 ). Here, we focus on disruptive behavior disorders that are associated with aggressive behavior, including oppositional defiant disorder (ODD) and conduct disorder (CD). ODD was assessed only by caregiver report, and both children and caregivers reported on CD. Diagnostic thresholds were applied based on DSM-IV, as the DSM-5 version was not yet available when we began the study. Current CD and ODD diagnoses were included in this study. A total of 6 children (4%) met criteria for CD, and a total of 10 children met criteria for ODD (6%), consistent with population prevalence estimates of these disorders ( Nock, Kazdin, Hiripi, & Kessler, 2007 ; NSCH, 2007; NSCH, 2012; Perou et al., 2013 ). Clinical interviews were conducted by a licensed clinician, doctoral graduate student, or full-time study staff with extensive diagnostic and clinical training. Diagnoses were reviewed and confirmed by a licensed clinician who supervised all clinical interviewing procedures.
Caregivers provided information about total household income that was used to assess whether the family was living in poverty, a measure of material deprivation. The income-to-needs ratio was calculated by dividing total household income by the 2015 U.S. census-defined poverty line for a family of that size, with a value less than one indicating that a family was living below the poverty line. This ratio was used to create a dichotomous poverty variable indicating whether the participant met criteria for living in poverty. Emotional deprivation was assessed using an eight item self-report measure assessing the frequency of neglectful parenting behaviors that is embedded in the CECA interview (Bifulco, Bernazzani, Moran, & Jacobs, 2005). This measure was completed separately in reference to neglectful behaviors on the part of each caregiver for children living with two caregivers. We elected to use this measure rather than the emotional neglect subscale of the CTQ as this measure more closely aligns with accepted definitions of neglect (Straus & Kantor, 2005) by assessing neglectful behaviors (e.g., “She would leave me unsupervised before the age of 10”) as compared to the CTQ which focuses largely on appraisals (e.g., “My family was a source of strength and support”). Participants who reported levels greater than predefined cutoff scores (Bifulco et al., 2005) for either parent were classified as emotionally neglected.
We evaluated the role of theory of mind ability as a potential mechanism linking interpersonal violence exposure to externalizing psychopathology using several methods. First, we examined associations of violence exposure with externalizing psychopathology using univariate analysis of covariance (ANCOVA) for continuous symptom scores and logistic regression for diagnostic outcomes. We examined several forms of interpersonal violence: exposure to physical or sexual abuse, emotional abuse, and domestic violence, as well as a continuous variable reflecting the total frequency of violence exposure in the child’s life. Next, we examined the associations of each of the three interpersonal violence variables with performance on the theory of mind task (i.e., cognitive and affective accuracy and reaction time) using ANCOVA for dichotomous exposure variables and linear regression for frequency of violence exposure. We additionally used MANCOVA to test whether there were differences in cognitive and affective theory of mind accuracy and reaction time among children exposed to one, two, or three kinds of violence (the independent categorical variable). We then examined the associations of accuracy and reaction time on the theory of mind task with externalizing symptoms using linear regression and with diagnostic outcomes using logistic regression. Finally, we conducted a mediation analysis in SPSS software using the PROCESS test ( Hayes, 2013 ), a standard bootstrapping approach that provides confidence intervals for indirect effects in statistical mediation estimated from 1000 resamples of the data ( Preacher & Hayes, 2008 ), to determine whether poor theory of mind performance mediated the association of violence exposure with externalizing psychopathology. The PROCESS test of mediation is particularly advantageous as it employs a bootstrapping method to address non-normal data distributions, accepts dichotomous dependent variables, and is particularly suited to small sample sizes ( Preacher & Hayes, 2008 ). When zero is not included in the lower and upper endpoints of the bias-corrected bootstrap confidence interval provided by PROCESS, the indirect effect is interpreted as significant.
Following analysis of our three main models, we conducted several hypothesis-driven sensitivity analyses. First, we examined whether other adversities unrelated to threat exposure—including poverty and child-reported emotional neglect—were associated with theory of mind performance, and whether they were significant after controlling for violence exposure. When covarying violence exposure, we used a dichotomous variable indicating whether participants had experienced any physical, sexual, emotional abuse or domestic violence. Second, we examined whether associations between violence and accuracy and reaction time during cognitive and affective theory of mind remained significant after controlling for these other forms of adversity.
We also conducted several exploratory analyses. Given the wide age range of the sample and age differences in theory of mind across development (Sebastian et al., 2011), we examined the effects of age on theory of mind performance. We also evaluated whether the associations of violence exposure with theory of mind varied by age by creating interaction terms between the age and violence exposure variables, and whether the associations of theory of mind with psychopathology varied by age by creating interaction terms between age and theory of mind performance. We used linear regression to test whether the interaction terms predicted outcome measures (i.e., theory of mind and externalizing psychopathology respectively) using standard methods ( Hayes & Matthes, 2009 ).
In all models predictors were mean-centered to ensure that effects were always within the range of the data and to reduce multicollinearity ( Hayes, Glynn, & Huge, 2012 ). Age and sex were controlled for in all models, given established age and sex-related differences in both violence exposure and externalizing psychopathology. All analyses were conducted using SPSS software Version 19.
Table 1 provides the means and standard deviations of all measures separately by group. Table 2 provides the zero-order correlations among all measures of violence exposure, other adversities, covariates, cognitive and affective theory of mind, and externalizing psychopathology.
Correlations of violence exposure, theory of mind task performance, and externalizing symptoms and diagnoses a
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. Age | __ | ||||||||||||||
2. Sex | .12 | __ | |||||||||||||
3. Poverty | −.09 | −.14 | __ | ||||||||||||
4. Emotional Neglect | .11 | .09 | .10 | __ | |||||||||||
5. Physical or Sexual Abuse | .08 | −.01 | .30 | .32 | __ | ||||||||||
6. Emotional Abuse | .12 | .11 | .05 | .54 | .45 | __ | |||||||||
7. Domestic Violence | .06 | .01 | .27 | .41 | .40 | .40 | __ | ||||||||
8. Violence Frequency | .32 | −.05 | .17 | .39 | .50 | .53 | .44 | __ | |||||||
9. Cognitive ToM Accuracy | .17 | .06 | −.06 | −.11 | −.13 | −.15 | −.11 | −.17 | __ | ||||||
10. Cognitive ToM Reaction Time | −.39 | −.13 | .07 | −.05 | −.04 | −.04 | −.05 | −.10 | −.28 | __ | |||||
11. Affective ToM Accuracy | −.01 | .07 | .03 | −.05 | −.09 | −.19 | −.03 | 0.19 | .61 | −.06 | __ | ||||
12. Affective ToM Reaction Time | −.28 | −.22 | .06 | −.03 | .08 | .05 | −.01 | .03 | −.20 | .49 | −.22 | __ | |||
13. Externalizing Symptoms | .01 | −.01 | .21 | .32 | .54 | .43 | .38 | .44 | −.16 | .04 | .15 | .16 | |||
14. Oppositional Defiant Disorder | −.23 | −.09 | .20 | .25 | .22 | .16 | .20 | .09 | .01 | .06 | .01 | .06 | .35 | __ | |
15. Conduct Disorder | .07 | −.03 | .04 | .13 | .11 | .10 | .10 | .25 | −.09 | .01 | −.17 | −.03 | .25 | .10 | __ |
We observed strong and consistent associations between exposure to violence and externalizing psychopathology. Physical and sexual abuse, emotional abuse, domestic violence exposure, and the frequency of violence exposure were all strongly associated with our continuous measure of externalizing problems (r =.38-.54, all p < .001; see Table 2 ). Exposure to violence was also associated with externalizing disorder diagnoses, particularly ODD. Specifically, physical and sexual abuse (OR=12.18, p = .021), emotional abuse (OR=4.33, p = .039), and domestic violence (OR=5.31, p = .024) were each associated with elevated odds of ODD (see Table 2 ). None of these exposures were associated with conduct disorder. Frequency of violence exposure, however, was significantly associated with both ODD (OR=1.09, p = .018) and conduct disorder (OR=1.08, p = .028), such that each addition point on the violence exposure total score was associated with an 8–9% increase in the odds of ODD and conduct disorder, respectively.
Cognitive theory of mind..
Although performance was generally high on the cognitive theory of mind task, violence was associated with task accuracy across multiple forms of exposure ( Figure 2 ). Specifically, accuracy on cognitive theory of mind was lower among children who experienced physical or sexual abuse, F (1,245) = 5.38, p = .021 and emotional abuse, F (1,245) = 7.71, p = .006, as compared to children who never experienced each form of violence ( Table 1 ). The frequency of exposure to violence was also associated with worse performance on cognitive theory of mind, β = −0.24, p < .001. Exposure to domestic violence and to more than one type of violence were not significantly associated with cognitive theory of mind accuracy. Violence exposure was not significantly associated with reaction time during cognitive theory of mind.
Mean cognitive theory of mind accuracy by type of violence exposure. Note: Children were not classified into distinct groups, therefore some overlap exists among children represented by each of the violence bars.
Accuracy was also relatively high on the affective theory of mind task. Despite generally good performance across the entire sample, differences in affective theory of mind accuracy emerged as a function of violence exposure ( Figure 3 ). In particular, children who experienced emotional abuse performed significantly worse on affective theory of mind than children who had never experienced that form of interpersonal violence, F (1,245) = 9.84, p = .002 ( Table 1 ). There was also a significant main effect of exposure to more than one kind of violence on affective theory of mind accuracy, F (1,123) = 4.93, p = .009, such that children exposed to two (mean(SD)=0.87(0.19)) and three (mean(SD)=0.90(0.16)) types of violence were significantly less accurate at affective theory of mind than children exposed to only one type of violence (mean(SD)=0.96(0.07)). We re-ran our analysis of the association between emotional abuse and affective theory of mind accuracy while covarying exposure to physical or sexual abuse and domestic violence. The association remained significant, F (1,245) = 8.39, p = .004, suggesting that it is not driven by exposure to other kinds of violence. We also observed an association between frequency of violence exposure and accuracy on affective theory of mind, β = −0.20, p = .003, such that greater exposure frequency was associated with worse performance. Neither physical and sexual abuse nor domestic violence was associated with affective theory of mind accuracy. Violence exposure was not significantly associated with reaction time during affective theory of mind.
Mean affective theory of mind accuracy by type of violence exposure. Note: Children were not classified into distinct groups, therefore some overlap exists among children represented by each of the violence bars.
Lower accuracy and slower reaction time during cognitive theory of mind were each associated with externalizing problems, though not with diagnoses of ODD or conduct disorder ( Table 3 ).
Cognitive and affective theory of mind task performance and externalizing problems
Highest CBCL or YSR T-Score | KSADS Current Diagnosis | ||
---|---|---|---|
Externalizing | Conduct Disorder | Oppositional Defiant Disorder | |
β | OR | OR | |
Cognitive theory of mind | |||
Accuracy | −0.17 | 0.04 | 8.58 |
Reaction time (ms) | 0.05 | 1.00 | 1.00 |
Affective theory of mind | |||
Accuracy | −0.15 | 0.01 | 4.74 |
Reaction time (ms) | 0.18 | 1.00 | 1.00 |
Lower accuracy during affective theory of mind was significantly associated with higher levels of externalizing problems and greater odds of meeting criteria for conduct disorder ( Table 3 ). Reaction time during affective theory of mind was significantly associated with higher levels of externalizing behavior but not with diagnoses of ODD or conduct disorder ( Table 3 ).
We tested indirect effects using a multiple mediator approach. Specifically, we examined performance on cognitive and affective theory of mind simultaneously as mediators of the associations between violence exposure and externalizing psychopathology. We only included mediators that were associated with violence exposure in each model. We examined a total of three indirect effects models: 1) the indirect effects of physical and sexual abuse on externalizing symptoms through cognitive theory of mind accuracy, 2) the indirect effect of emotional abuse on externalizing symptoms through cognitive and affective theory of mind accuracy, and 3) the indirect effect of frequency of violence exposure on externalizing symptoms through cognitive and affective theory of mind accuracy. We did not include a domestic violence model as no association was observed between domestic violence and cognitive and affective theory of mind performance. Although exposure to violence occurred at an earlier point in development than our theory of mind assessment, because theory of mind and externalizing psychopathology are measured at only one point in time, caution is warranted in interpretation of these mediation results as evidence for theory of mind as a mechanism linking violence exposure and externalizing problems ( Maxwell & Cole, 2007 ).
In our first model, we found a significant indirect effect of physical and sexual abuse on externalizing problems through cognitive theory of mind performance (95% CI: 0.051 – 1.084). The indirect effects of emotional abuse and frequency of violence exposure on externalizing problems through cognitive and affective theory of mind performance did not reach statistical significance. These findings suggest that relative reductions in the ability to understand the thoughts and intentions of others is a potential mechanism linking physical and sexual abuse with externalizing problems in children and adolescents.
Deprivation-related adversities and theory of mind..
Poverty was not significantly associated with reaction time or accuracy during cognitive or affective theory of mind, either in bivariate analysis or when controlling for violence exposure.
Emotional neglect was not significantly associated with reaction time during cognitive theory of mind, or with accuracy or reaction time during affective theory of mind. Children who reported being emotionally neglected were less accurate at cognitive theory of mind than children who had never experienced emotional neglect, F (1,245) = 4.50, p = .040. This association was no longer significant when controlling for violence exposure. Associations between emotional neglect and cognitive theory of mind reaction time and affective theory of mind reaction time and accuracy were also not significant when controlling for violence exposure measured dichotomously. To ensure sensitivity of these analyses, we reran them controlling for all four primary violence exposure variables together and in four separate models and still found no significant associations.
To determine whether violence exposure was associated with theory of mind over and above the effects of other co-occurring forms of adversity reflecting deprivation, we conducted two sets of sensitivity analyses. In the first, we adjusted for poverty, which is well established to be associated not only with increased risk for violence exposure but also deprivation in material, emotional, and cognitive domains (see McLaughlin, Sheridan, Lambert, 2014 ; Sheridan & McLaughlin, 2014; 2016 for reviews). A total of 17 participants declined to provide information on family income, which reduced our sample size for these analyses. Adjusting for poverty had no effect on the associations of violence exposure with cognitive and affective theory of mind performance. All associations that were significant without inclusion of poverty as a covariate remained statistically significant (see Supplemental Table 1 ).
We additionally completed a more stringent sensitivity analysis adjusting for exposure to emotional neglect, which is a more extreme form of deprivation. Notably, after adjustment for exposure to emotional neglect, violence exposure continued to be associated with both cognitive and affective theory of mind performance. The only meaningful differences were that the association of physical and sexual abuse with cognitive theory of mind accuracy was reduced to trend-level significance, and domestic violence was no longer associated with cognitive theory of mind accuracy. All other associations were unchanged (see Supplemental Table 1 ).
Variation by age..
Age was associated with higher theory of mind accuracy, β = 0.17, p = .009, and faster reaction times, β = −0.38, p < .001, during the cognitive condition of the task. Age was also associated with faster affective theory of mind reaction times, β = −0.26, p < .001. Interactions between age and violence were added to regression models examining the associations between violence and theory of mind performance. None of these interactions were statistically significant ( Supplemental Table 2 ). Age was also associated greater likelihood of being diagnosed with oppositional defiant disorder (OR=5.31, p = .024). Interactions between age and theory of mind performance were added to each of the models examining theory of mind performance and externalizing psychopathology to determine whether associations varied by age. In no cases did these interactions reach statistical significance ( Supplemental Table 3 ).
Prior research has documented that interpersonal violence exposure in childhood is a powerful predictor of externalizing problems across the lifespan ( Bingenheimer, 2005 ; Dodge et al., 1990 ; McCloskey & Lichter, 2003 ; Widom, 1989 ). Although deficits in social information processing have been demonstrated to be a core mechanism in this association (e.g., Dodge et al., 1990 ; 1995 ), few studies have investigated forms of social cognition related to social-information processing deficits, such as theory of mind. Furthermore, prior research examining social cognitive abilities following adversity has largely ignored whether associations are due specifically to violence exposure versus other forms of adversity, such as emotional neglect and poverty, with notable exceptions ( Cicchetti et al., 2003 ). The current study addressed these gaps in the literature by examining whether interpersonal violence influences cognitive and affective theory of mind in ways that may ultimately contribute to externalizing behavior in a community-based sample of children and adolescents with a high concentration of exposure to interpersonal violence. Although it is not possible to establish that alterations in theory of mind are preceded and driven by violence exposure rather than inherited traits in a cross-sectional study, our findings contribute to accumulating evidence that theory of mind development is strongly affected by non-heritable environmental factors ( Cutting & Dunn, 1999 ; Hughes et al., 2005 ). First, we found that exposure to interpersonal violence was associated with altered theory of mind performance, including greater difficulty understanding thoughts, beliefs, and intentions of others (i.e., cognitive theory of mind) as well as lower accuracy when predicting emotional states of others (i.e., affective theory of mind) in a variety of social situations. Second, difficulty across these domains was associated with externalizing psychopathology. Finally, worse performance on cognitive and affective theory of mind mediated the association between many measures of violence exposure with externalizing psychopathology. Importantly, this pattern of results was nearly identical after controlling for co-occurring forms of adversity reflecting material and emotional deprivation. Taken together, these findings suggest that atypical theory of mind development may be an additional social cognitive mechanism that contributes to risk for externalizing problems among children who have experienced interpersonal violence.
Consistent with our hypotheses and a great deal of prior research (e.g., Bingenheimer, 2005 ; Cicchetti & Toth, 2005 ; McLaughlin et al., 2012 ), we found strong associations of interpersonal violence exposure with externalizing problems in children and adolescents. More covert, non-violent forms of rule-breaking behaviors are quite common among children exposed to violence ( Miller, Wasserman, Neugebauer, Gorman-Smith, & Kamboukos, 1999 ; Mrug & Windle, 2010 ). Although it may be adaptive to distrust the demands of authority figures following prior experiences with dangerous individuals, oppositional behavior is likely to arouse frustration and rejection in otherwise safe school and home environments. Higher engagement in aggressive behavior also likely reflects a developmental adaptation to a dangerous environment. For children growing up in environments characterized by threat, reacting with aggression may be a strategy intended to promote safety. However, a tendency to engage in these behaviors is particularly problematic for a number of reasons. First, and most obvious, adolescent aggressive behavior is associated with a wide range of negative interpersonal, educational, legal, and health outcomes ( Huesmann, Dubow, & Boxer, 2009 ; Kokko & Pulkkinen, 2000 ). Second, a tendency to behave aggressively is likely to provoke a similar response in others. Indeed, bidirectional relationships have been observed between children’s aggressive behavior and both peer victimization and harsh parenting ( Anderson, Lytton, & Romney, 1986 ; Brunk & Henggeler, 1984 ; Reijntjes et al., 2011 ). As a result, children who develop externalizing behaviors create more opportunities for re-victimization, a well-established finding among youths who have experienced violence ( Classen, Palesh, & Aggarwal, 2005 ; Desai, Arias, Thompson, & Basile, 2002 ; Hosser, Raddatz, & Windzio, 2007 ). This is particularly concerning because the risk for virtually all forms of psychopathology, including externalizing psychopathology, increases with each traumatic experience ( Copeland, Keeler, Angold, & Costello, 2007 ; McLaughlin et al., 2012 ). Thus, while aggressive and rule-breaking responses may emerge in order to promote safety in the short-term they have many deleterious long-term outcomes. Identifying the mechanisms through which interpersonal violence may alter how children interact with their social environment in ways that increase risk for externalizing problems is of critical importance. Here, we provide evidence that a fundamental social cognitive ability—theory of mind—may play a meaningful role in these associations.
Children in our sample who experienced many forms of interpersonal violence demonstrated difficulty with the cognitive component of theory of mind, which involves understanding others’ thoughts, beliefs, and intentions. This finding is in line with a growing body of research that has largely been conducted on younger samples of children ( Barahal, Waterman, & Martin, 1981 ; Burack et al., 2006 ; Cicchetti, Rogosch, Maughan, Toth, & Bruce, 2003 ; O’Reilly & Peterson, 2015 ; Pears & Fisher, 2005 ). We extend this prior research by demonstrating that violence produces an atypical pattern of cognitive theory of mind well into adolescence. While all forms of violence exposure were unassociated with reaction time during cognitive theory of mind, physical and sexual abuse was associated with lower accuracy when identifying other peoples’ thoughts and intentions across different contexts. Moreover, the overall frequency of violence exposure was strongly associated with cognitive theory of mind performance, suggesting that children who experience more frequent interpersonal violence are particularly likely to have difficulty with cognitive theory of mind. These associations remained consistent for most forms of violence exposure even after accounting for deprivation-related adversities, including poverty and emotional neglect. Although emotional neglect was associated with cognitive theory of mind, this association was no longer significant after adjusting for exposure to violence. These findings suggest that difficulties with cognitive theory of mind are largely driven by exposure to threatening early environments rather than by experiences of poverty and emotional neglect. What might explain this pattern? One possibility is that children exposed to more chronic violence become hypersensitive to potential cues of hostile intentions, a positive adaptation that facilitates the quick decision making necessary for escaping from or responding to dangerous individuals ( Dodge et al., 1990 ; Pollak & Kistler, 2002 ). Although advantageous in dangerous circumstances, the tendency to assume that others are harboring malevolent thoughts and plans may undermine children’s ability to learn antecedents to neutral and prosocial behaviors. As a result, these children can fail to accurately predict other peoples’ thoughts and intentions in a variety of safe contexts. Indeed, extensive evidence suggests that children exposed to violence exhibit these types of hostile attribution biases ( Dodge et al., 1990 ; 1995 ; Weiss et al., 1992 ). Another possibility is that children who experience violence have less experience with perspective taking. Caregivers who engage in abusive and violent behaviors frequently model inappropriate emotional and behavioral responses and children raised in these environments likely have few opportunities to observe adaptive perspective taking. A growing body of research also suggests that parents of children raised in neighborhoods with higher rates of violence exposure are more likely to limit their children’s social activities in order to limit exposure to more violence ( Garbarino, Kostelny, & Dubrow, 1991 ; Letiecq & Koblinsky, 2004 ). This parenting practice is protective in dangerous areas, yet it may inadvertently restrict exposure to a wide range of interpersonal peer and adult interactions that could stimulate theory of mind development.
In addition to difficulties with cognitive theory of mind, we also found that children who have experienced violence also performed more poorly at affective theory of mind, which required them to understand how another person might feel in a specific context. This pattern of poor performance during affective theory of mind was specific to threat-related adversity (i.e., violence exposure), was unrelated to poverty and emotional neglect, and remained similar with regard to associations with violence even after controlling for these deprivation-related adversities. Moreover, emotional abuse and the total frequency of violence exposure were the adversities that had the strongest associations with affective theory of mind. How might interpersonal violence, and emotional abuse in particular, alter affective theory of mind? Violence typically reflects an emotional reaction that is inappropriate to the situation at hand. Over time, repeated encounters with extreme negative emotion and difficulty controlling behavioral responses to those emotions may alter children’s views about the situations that trigger negative emotions, the intensity of these emotions, and appropriate corresponding behavior. As a result, we would expect that children who have routinely experienced violence would have more difficulty with affective theory of mind. Here, we found that poor performance on affective theory of mind in children was associated with greater frequency of violence exposure. These findings extend those of a prior study showing that young children who were bullied had more difficulty identifying relevant contextual causes of emotions ( Belacchi & Farina, 2010 ). Children who experienced emotional abuse also had particular difficulty with the affective theory of mind task. As emotional abuse involves subjecting children to threats of violence and emotional cruelty, it is unsurprising that this form of maltreatment may limit a child’s ability to understand and be able to predict a broader range of prosocial emotions in others.
Our second aim was to examine whether atypical performance across cognitive and affective theory of mind accounted for greater levels of externalizing behavior and conduct problems in children. Although children and adolescents with high levels of externalizing problems performed just as quickly as children who were not aggressive when considering the thoughts, intentions, and beliefs of others, they were less accurate at cognitive theory of mind. This finding builds upon prior research linking difficulties in cognitive theory of mind with aggression in younger children ( Cicchetti et al., 2003 ; O’Reilly & Peterson, 2015 ; Pears & Fisher, 2005 ), by demonstrating that this association persists well into adolescence. Consistent with expectations, we also found that lower accuracy predicting how others might be feeling across a variety of social situations was associated with greater levels of externalizing problems, and higher likelihood of receiving a conduct disorder diagnosis. Slower reaction times during affective theory of mind were also associated with greater levels of externalizing behavior. These findings extend the literature by highlighting the potential importance of difficulties with the affective dimension of theory of mind for children with a variety of externalizing psychopathology symptoms, a topic that has been studied infrequently. Our finding is consistent with the limited existing evidence that children and adolescents with conduct problems exhibit problems not only with cognitive, but also affective, forms of theory of mind ( Hughes, Dunn, & White, 1998 ). This pattern is also broadly consistent with the well-documented difficulties with social information processing observed among children with externalizing problems ( Dodge et al., 1990 ), which often emerge in situations where the intentions and emotions of others are ambiguous or unclear. Anticipation of negative interpersonal consequences, specifically the victim’s immediate negative emotions and the resulting negative judgment from peers and adults, provides a strong rationale for inhibiting rule breaking and aggression. Failure to anticipate these consequences may contribute to externalizing behavior in adolescents with theory of mind deficits. However, not all youth with impairments in perspective taking behave aggressively. For example, a sizable proportion of children and adolescents with autism-spectrum disorders are not aggressive ( Kanne & Mazurek, 2011 ). The specific pattern of mentalizing difficulties characterized by difficulty understanding the intentions and feelings of others paired with a tendency to assume hostile emotions and intentions in ambiguous social situations (i.e., hostile attribution bias; Dodge et al., 1990 ; Molano, Jones, Brown, & Aber, 2013 ; Pornari & Wood, 2010 ) may differentiate children whose difficulties with theory of mind contribute to risk for aggressive behavior from those who do not become aggressive. As a result of their inaccurate predictions of others’ thoughts and feelings, these children may also need more time to consider why people are feeling contrary to their expectations in any given situation.
Our findings suggest that alterations in cognitive and affective theory of mind represents a plausible mechanism that may contribute to risk for externalizing problems among children who have experienced violence. It is possible that difficulties with cognitive and affective theory of mind may contribute to the well-established social information processing biases that have previously been identified as a mechanism in the cycle of violence ( Dodge et al., 1990 ; 1995 ). Moreover, our indirect effects models indicate that difficulty accurately predicting others’ intentions and emotions might represent a vulnerability factor for a broader range of externalizing behaviors that emerge specifically after exposure to forms of early adversity that involve a high degree of threat (i.e., violence exposure) but not following exposure to material and emotional deprivation. For children who experience violence, the most critical time to accurately evaluate other people’s mental states occurs when there is a possibility that someone is hostile or threatening. Developing hyper-sensitivity to cues that someone may be angry or hostile is a positive adaptation to living in dangerous environments, alerting children to seek safety either by escaping or responding aggressively for self-protection. Attunement to what other people are thinking or feeling during more routine interactions may be far less important for adapting to an environment characterized by threat. Indeed a small number of studies indicate that children exposed to interpersonal violence exhibit impairments in social cognition and emotion perception characterized by high sensitivity to hostility in others yet insensitivity to other types of emotions and cognitions ( Barahal et al., 1981 ; Bowen & Nowicki, 2007 ; Cicchetti et al., 2003 ; Elbedour, Baker, & Charlesworth, 1997 ; Pollak et al., 2000 ; Pollak & Kistler, 2002 ; Pollak & Sinha, 2002 ; Pollak & Tolley-Schell, 2003 ; Shackman & Pollak, 2005 ; Smetana, Kelly, & Twentyman, 1984 ). Together with our findings, these patterns suggest that hypersensitivity to threat and hostility in others comes at the expense of understanding the full range of intentions, beliefs, and emotions that other people experience among children who have experienced violence. Although this pattern of social information processing may promote safety in dangerous environments, it also appears to confer risk for externalizing problems.
Our findings should be interpreted with caution given the following limitations. First, these data are cross-sectional, which precludes us from examining deficits in theory of mind and changes in externalizing and conduct problems over time or making strong conclusions about the role of theory of mind as a mechanism in the cycle of violence. For this reason, we interpret the results of the indirect effects models with caution. An important next step will be to replicate these findings in longitudinal studies, which we aim to do once the longitudinal portion of this study is complete. Second, children and adolescents may have been motivated to under-report their own aggressive behavior (e.g., Cantwell et al., 1997 ). However, this limitation was addressed by including parent report of aggression and externalizing symptoms and parent diagnostic interview data. Third, the theory of mind task was originally designed for use in a neuroimaging study ( Sebastian et al., 2012 ), where constrained variability in task accuracy is advantageous, in order to ensure neural processes are specific to the cognitive processes of interest. Indeed, our sample generally performed near ceiling on this task, suggesting it may not be capturing the more complex social situations requiring perspective taking that are relevant for older children and adolescents. At the same time, poor performance on this task likely reflects particularly severe impairment in theory of mind, suggesting our findings are robust even when using conservative measures of theory of mind. It will be important for future research to develop assessments that are sensitive to a broader range of theory of mind abilities, in particular affective theory of mind. Fourth, we relied on child and parent report of maltreatment rather than substantiated records provided by Child Protective Services. While it is possible that some families may have withheld abuse histories from study investigators, prior research has demonstrated that reliance on CPS records results in significant under-classification of maltreatment exposure (Widom, Weiler, & Cottler, 1999). Finally, because we did not include a measure of physical neglect in our sensitivity analyses, we cannot conclude that violence exposure has greater effects on theory of mind than all forms of deprivation.
We provide novel evidence for the potential role of difficulties with cognitive and affective theory of mind in the cycle of violence. Children exposed to a many forms of interpersonal violence demonstrated greater difficulty in predicting other people’s thoughts, intentions, and beliefs and were less accurate at identifying others’ emotions across a variety of contexts. This pattern of poor theory of mind ability appears to be specific to adverse environments characterized by danger, as other forms of adversity characterized by emotional and material deprivation—including poverty and emotional neglect—were unassociated with theory of mind after accounting for violence exposure. The same pattern of difficulties with cognitive and affective theory of mind observed among children exposed to violence was associated with externalizing problems. These findings suggest that preventive interventions that target perspective taking may be useful for preventing the development of externalizing behavior among children who have experienced violence. It may also be useful to consider supplementing evidence-based trauma treatments (e.g., trauma-focused cognitive behavioral therapy; see Dorsey et al., 2017 for a review) with modules that specifically target these social-cognitive abilities. Future longitudinal research is needed to further disentangle the ways in which violence exposure in childhood alters the development of social cognitive processes in ways that increase risk of aggression. Identifying these mechanisms is critical for breaking the cycle of violence.
Acknowledgments.
This research was supported by a Doris Duke Fellowship for the Promotion of Child Wellbeing to Charlotte Heleniak, and by grants from the National Institute of Mental Health to Charlotte Heleniak (F31-MH108245) and to Katie McLaughlin (R01-MH103291).
Hochul unveils plan to fight gun violence, domestic terrorism after buffalo shooting, authorities allege that an 18-year-old, white gunman committed the massacre at the tops friendly market-- a massacre they say was driven by racism, published may 18, 2022 • updated on may 18, 2022 at 6:01 pm.
Gov. Kathy Hochul revealed proposed measures to combat the rise of domestic terrorism and violent extremism, as direct response to racist shooting attack at a Buffalo, New York, grocery store that killed 10 on Saturday .
"The horrific and despicable act of terror committed by a white supremacist this past weekend in Buffalo showed that we as a country are facing an intersection of two crises: the mainstreaming of hate speech - including white nationalism, racism and white supremacy - and the easy access to military-style weapons and magazines," Hochul said in a statement following her announcement Wednesday. "This is a wake-up call and here in New York we are taking strong steps to directly address this deadly threat."
Hochul signed two executive orders, with the first calling for the Division of Homeland Security and Emergency Services to establish a new unit, dedicated solely to the prevention of domestic terrorism.
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According to Hochul's office, the creation of the new unit referenced in one of the executive orders "will focus on threat assessment management, disbursing funding to localities to create and operate their own threat assessment management teams and utilizing social media to intervene in the radicalization process. It will also educate law enforcement members, mental health professionals and school officials on the recent uptick in domestic and homegrown violent extremism and radicalization, as well as create best practices for identifying and intervening in the radicalization process."
Additionally, this executive order also calls for the state police to establish a dedicated unit within the New York State Intelligence Center to track domestic violent extremism through social media.
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Meanwhile, the second executive order that Hochul signed will require the state police to file an Extreme Risk Protection Order (ERPO) under New York State's Red Flag Law whenever they have probable cause to believe that an individual is a threat to themselves or others.
Typically, red-flag laws, also known as extreme risk protection orders, are intended to temporarily remove guns from people with potentially violent behavior, usually up to a year. In many cases, family members or law enforcement must petition the court for an order, though New York is a rare state in which educators can also start the process.
Removing weapons for that long, however, requires a hearing in which prosecutors must convince a judge that the person poses a risk. Most states also block the person from buying more guns during that period.
Red-flag laws are often adopted after tragedies. Florida did so after the 2018 mass shooting at Marjory Stoneman Douglas High School in Parkland that killed 17 students. Law enforcement officials had received numerous complaints about the 19-year-old gunman’s threatening statements.
"Today, I issued Executive Orders to devote substantial resources and focus toward combating the troubling surge in domestic terrorism by identifying radicalized individuals and tracking their threats amplified on social media, and further empower State Police to keep guns away from dangerous people," Hochul said.
The governor also issued a referral letter to Attorney General Letitia James to probe social media's role in the Buffalo shooting. Investigators will look at online resources the gunman "used to discuss and amplify his intentions and acts to carry out this attack."
Amazon's Twitch, Discord, 4chan Face New York AG Probe After Buffalo Shooting
Hochul said she will also work with legislators to pass two bills that aim to address and streamline the investigations connected to gun-related crimes, including "semiautomatic pistols manufactured or delivered to licensed dealers in the state to be microstamping-enabled" in order to mark bullets and casings and link them to potential crimes.
The second bill calls for law enforcement agencies to report the recovery of a gun connected to any crime within 24 hours of their discovery.
Hochul is also proposing new legislation to close a gun loophole by widening the definition of a firearm in order to make more guns subject to preexisting firearm laws.
The executive orders and proposed legislation come following the tragic events over the weekend in which authorities allege that an 18-year-old, white gunman committed the massacre at the Tops Friendly Market-- a massacre they say was driven by racism. Authorities have said that the suspect allegedly planned to continue his rampage down the street before he was stopped.
Authorities said he shot, in total, 11 Black people and two white people. The shooter livestreamed the attack on Twitch, prompting scrutiny of how fast social platforms react to violent videos .
Investigators pouring through the gunman's history and evidence obtained at the scene as well as house say he wanted to keep targeting Black Buffalo residents after the supermarket attack.
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To assess whether models of partner aggression (cycle of violence, family systems theory, Duluth model) fit with three patterns of system dynamics (periodic, chaotic, random) United States: Camargo (2019) To examine the correlation between intimate partner violence and the type of domestic decision-making: Bolivia, national study: Carbone-Lopez ...
2.4.3. Density (B3) Moreover, the issue of overcrowding within households has emerged as another important factor influencing domestic violence. Overcrowding refers to the stress caused by the presence of a large number of individuals in a confined space, leading to a lack of control over one's environment (44).
There is no single causal factor related to domestic violence. Rather, scholars have concluded that there are numerous factors that contribute to domestic violence. Feminists found that women were beaten at the hands of their partners. Drawing on feminist theory, they helped explain the relationship between patriarchy and domestic violence. Researchers have examined other theoretical ...
1. INTRODUCTION. Violence refers to the concept of power and the use of superiority over the other (Minayo et al., 2018).More specifically, domestic violence places women as victim and man as the aggressor and there is damage or lack of physical and psychological well‐being—Maria da Penha Law (Brazil, 2006; Cortez, Souza, & Queiróz, 2010): physical violence, psychological violence, or ...
Domestic violence and abuse (DVA) is a complex issue and it is important to understand how and why this happens. Such understanding can help find strategies to minimise DVA. Over past decades, many explanations have been proposed to explain DVA from various perspectives. This chapter aims to present an aggregated overview of that information to ...
The purpose of this study is to introduce a new Battering Assessment Tool (BAT) consisting of 54 antecedents and 57 reinforcing or nonreinforcing consequences that is designed to assess contingencies based on self-report data and potentially assist in the behavior modification of domestic violence perpetrators and victims. The voluntary participants were 70 male and 3 female perpetrators of ...
Domestic violence is an important form of coercion; a serious violent crime; and a cause and consequence of gender inequality. Frustrated with the limitations of the traditional approach to crime, a new field has emerged that treats domestic violence as if it has a distinctive aetiology, developing new concepts, including that of 'coercive control'.
Domestic violence, particularly intimate partner violence, remains a major health problem and a violation of human rights ... The studies adopted the following designs - descriptive qualitative (n = 18), grounded theory (n = 5), phenomenological approach (n = 8), exploratory (n = 4), consensual (n = 1), and mixed methods (n = 1). The ...
Social learning theory remains one of the leading explanations of intimate partner violence (IPV). Research on attitudes toward IPV represents a logical extension of the social learning tradition, as it is intuitive to expect that individuals exposed to violence in the family of origin may internalize behavioral scripts for violence and adopt attitudes accepting of IPV.
Intimate partner violence (IPV) is the most common form of violence against women, and approximately one third of all women worldwide have been exposed to physical or sexual abuse by an intimate partner (Devries et al., 2013). One prominent policy response to domestic abuse is the implementation of projects that aim to promote women's ...
The effects of child abuse and exposure to domestic violence on adolescent internalizing and externalizing behavior problems. Journal of Family Violence, (25), 53-63. doi: 10.1007/s10896-009-9269-9. Richards, K. (2011). Children's exposure to domestic violence in Australia. Trends and Issues in crime and criminal justice, (419), 1-5.
Abstract. Men and women experience severe domestic violence (DV) and intimate partner violence (IPV); however, women and children remain especially vulnerable. Violence along the DV/IPV continuum has been recognized as a type of child maltreatment and a child's awareness that a caregiver is being harmed or at risk of harm is sufficient to ...
Domestic and family violence remains a significant challenge to family wellbeing. The risk of serious harm from domestic and family violence is disproportionally carried by women and children, yet often the complex reality of family life means that many families have ongoing contact with their abusers.
These factors alone are not the bases for therapy alone that are effective in reducing the risk of domestic violence in clients. Herron and Javier (Chapter 5) offer an in-depth look at the psychodynamic theory of domestic violence, offering the reader a means to look at how the past influences feelings and behaviors in the present.
Definition. Domestic violence is physical, psychological, or sexual abuse between intimate partners, offspring, parents, and siblings within a family structure. Evolutionary approaches illuminate the psychological mechanisms that underpin these behaviors. Partner abuse has been explained as a male mate guarding strategy.
According to this hypothesis, domestic violence varies with women's reproductive value or expected future reproduction, declining steeply as women age. We tested this hypothesis with a sample of 3,969 cases of male-perpetrated partner-abuse reported to a single police precinct in a large urban area over a 14-year period. Results show that (a ...
Domestic violence includes not only physical violence but also mental violence with regard to neglect, emotional abuse, etc. Therefore, this study estimates a domestic violence index from the four aspects of injury from violence, negligent care, emotional abuse and witnessing domestic violence, and then takes the CHARLS (2011, 2013, 2015, 2018 ...
oppressions and vulnerabilities to injustice".10 The impact and prevalence of domestic violence can be higher when domestic violence is layered with forms of oppression in race, gender, sexuality, and class.11 In addition, In addition, the response to domestic violence from service systems is not equal. Victims may also face
Family violence theories (including systems theory, ecological theory, exchange/social control theory, resource theory, and the subculture-of-violence theory) view intimate partner violence as an expression of conflict within the family that can best be understood through examination of social structures contributing to the use of violence.
Violence against women is one of the most widespread, persistent and detrimental violations of human rights in today's world, which has not been reported in most cases due to impunity, silence, stigma and shame, even in the age of social communication. Domestic violence against women harms individuals, families, and society. The objective of this study was to investigate the prevalence and ...
domestic violence. Learning Objectives: Facilitator: At the end of this session, participants will be able to: - Identify and evaluate different theories of domestic violence. - Explain how the theory of violence used dictates the response to domestic violence. - Identify domestic violence as intentional, learned behavior designed to achieve
Exposure to emotional abuse (on the CECA, or above the validated CTQ threshold) and domestic violence (on the VEX-R interview or PTSD-RI trauma screen) was determined based on child report only. A total of 76 children (30.9%) reported experiencing emotional abuse and 94 (38.2%) reported witnessing domestic violence.
Violence frighteningly gly prevalent against prevalent throughout women the world. throughout Estimates by their domestic the world. partners Estimates is of the prevalence of violent domestic relationships range from l-in-5 to nearly 8-in-10, depending on country (Heise 1995). The health impact of violence greatly exceeds the daily log of.
Hochul Unveils Plan to Fight Gun Violence, Domestic Terrorism After Buffalo Shooting Authorities allege that an 18-year-old, white gunman committed the massacre at the Tops Friendly Market-- a ...