Do Child Abuse and Interparental Violence Lead to Adulthood Family Violence?

2002 ◽  
Vol 64 (4) ◽  
pp. 864-870 ◽  
Author(s):  
Richard E. Heyman ◽  
Amy M. Smith Slep
2003 ◽  
Vol 18 (6) ◽  
pp. 619-639 ◽  
Author(s):  
Susan M. Cunningham

This article examines adult respondents’ abuse of children as a consequence of their own childhood experiences of abuse, both direct experiences of childhood violence (hitting) and exposure to interparental violence (witnessing). In particular, the study examines the extent to which these factors function interactively: Are both experience and exposure necessary or is either sufficient to increase disproportionately the probability of child abuse? Using data from the Second National Family Violence Survey, results of a logistic regression analysis show that either or both factors produced higher than average and relatively similar rates of child abuse. Only respondents with neither form of family violence reported lower than average rates of abuse of their own children. The analysis controlled for gender, race, family income, and family structure; race was the only control variable to be significantly associated with child abuse. Finally, no control variable modified the interaction between the family violence variables.


1993 ◽  
Vol 46 (2) ◽  
pp. 3-8 ◽  
Author(s):  
Janet Stanley ◽  
Christopher Goddard
Keyword(s):  

2017 ◽  
Vol 35 (23-24) ◽  
pp. 5726-5752 ◽  
Author(s):  
Melanie L. Bozzay ◽  
Lendi N. Joy ◽  
Edelyn Verona

While studies suggest that youth who experience violence in the home are more likely to engage in externalizing behaviors (e.g., aggression, substance use, rule breaking), research is needed to understand factors that may explain how family violence is linked to externalizing, and whether there may be gender-specific trajectories to this outcome. The present study used a cross-sectional design and multigroup, path analytic modeling to test the degree to which personality traits (negative emotionality, constraint) in boys and girls (Model 1), as well as status offending primarily in girls (Model 2), may help explain relationships between exposure to familial adversity (witnessing family violence and child abuse) and adolescent externalizing behaviors in a mixed-gender, community sample with both caregiver and youth reports ( N = 237, 57% female, 10-17 years old). Results indicated that personality traits fully explained the relationship between witnessing family violence and externalizing and partially explained the relationship between child abuse and externalizing among youth. Despite theory suggesting a female-specific trajectory involving status offenses, both models were similarly relevant for boys and girls. These findings have implications for understanding processes by which adverse family circumstances may relate to externalizing behavior in youth. Preliminary suggestions are provided for future longitudinal research, policy changes, and clinical techniques that may be essential in preventing the progression to long-term adverse outcomes among youth.


2020 ◽  
Author(s):  
Jia Xue ◽  
Junxiang Chen ◽  
Chen Chen ◽  
Ran Hu ◽  
Tingshao Zhu

BACKGROUND Family violence (including intimate partner violence/domestic violence, child abuse, and elder abuse) is a hidden pandemic happening alongside COVID-19. The rates of family violence are rising fast, and women and children are disproportionately affected and vulnerable during this time. OBJECTIVE This study aims to provide a large-scale analysis of public discourse on family violence and the COVID-19 pandemic on Twitter. METHODS We analyzed over 1 million tweets related to family violence and COVID-19 from April 12 to July 16, 2020. We used the machine learning approach Latent Dirichlet Allocation and identified salient themes, topics, and representative tweets. RESULTS We extracted 9 themes from 1,015,874 tweets on family violence and the COVID-19 pandemic: (1) increased vulnerability: COVID-19 and family violence (eg, rising rates, increases in hotline calls, homicide); (2) types of family violence (eg, child abuse, domestic violence, sexual abuse); (3) forms of family violence (eg, physical aggression, coercive control); (4) risk factors linked to family violence (eg, alcohol abuse, financial constraints, guns, quarantine); (5) victims of family violence (eg, the LGBTQ [lesbian, gay, bisexual, transgender, and queer or questioning] community, women, women of color, children); (6) social services for family violence (eg, hotlines, social workers, confidential services, shelters, funding); (7) law enforcement response (eg, 911 calls, police arrest, protective orders, abuse reports); (8) social movements and awareness (eg, support victims, raise awareness); and (9) domestic violence–related news (eg, Tara Reade, Melissa DeRosa). CONCLUSIONS This study overcomes limitations in the existing scholarship where data on the consequences of COVID-19 on family violence are lacking. We contribute to understanding family violence during the pandemic by providing surveillance via tweets. This is essential for identifying potentially useful policy programs that can offer targeted support for victims and survivors as we prepare for future outbreaks.


2020 ◽  
pp. 088626052096010
Author(s):  
Boyoung Nam ◽  
Jae Yop Kim ◽  
Charlotte Lyn Bright ◽  
Daeyeon Jang

Although parent violence has been extensively investigated in the literature, few studies have examined its link to adult-initiated family violence. This study investigated the relationship between adult-initiated family violence (i.e., child exposure to intimate partner violence [CEIPV] and child abuse) and adolescent-to-parent violence (APV), with a particular focus on the moderating effect of peer attachment on this relationship. A sample of 709 adolescents from the Children and Adolescent Survey (a subset of the 2010 Nationwide Survey of Domestic Violence in South Korea) was used. The survey included measures of child abuse, CEIPV, APV, peer attachment, and demographic characteristics. Multiple regression analysis was conducted to examine the association between two types of adults-initiated family violence and APV. The interaction terms of peer attachment were included in the regression analysis to test its moderating effect. The results indicate that child abuse victimization is significantly associated with APV, but peer attachment significantly buffers the negative effect of child abuse on APV. CEIPV was not significantly associated with APV. The findings of the current study highlight the importance of breaking cycles of violence and improving children’s relationships with their peers in preventing parent violence. Counselors and social workers should explore APV perpetrators’ child abuse history when conducting interventions. School counseling programs can help reduce adolescents’ violent behaviors towards their parents by promoting positive peer relationships and peer bonding.


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