| Literature DB >> 31263089 |
Stella R Taquette1, Denise Leite Maia Monteiro.
Abstract
BACKGROUND: Adolescent dating violence (ADV) is highly prevalent and can have serious health consequences, including homicides, and be a predictor of intimate partner violence in adulthood. This review aims to systematize the knowledge produced in recent empirical investigations in health that focus on the causes and consequences of ADV to subsidize new research and prevention programs.Entities:
Year: 2019 PMID: 31263089 PMCID: PMC6646825 DOI: 10.5249/jivr.v11i2.1061
Source DB: PubMed Journal: J Inj Violence Res ISSN: 2008-2053
Figure 1Study selection chart. Adapted from the PRISMA group 2009 flowchart.
Revised papers that gave rise primarily to category I.
| AUTHOR/YEAR/DESIGN/LOCAL | CAT | OBJECTIVES | SAMPLE | RESULTS/CONCLUSIONS |
|---|---|---|---|---|
| 14 Shamu S et al., 2016, cross-sectional, South Africa –(Pretoria) | I | To investigate the prevalence of and factors associated with girls’ experience and boys’ perpetration of Intimate IPV | 3,755 grade 8 learners | The prevalence of IPV experience by girls was 30.9% and perpetration by boys was 39.5%. The factors associated with girls' experience of IPV include childhood violence, gender inequitable attitudes, and corporal punishment, among others. |
| 18 Pearlman DN, Dunn HK, 2016, cross-sectional, USA (Rhode Island) | I, II, III | To examine overlapping forms of peer and dating abuse from a gendered perspective | 6,390 students from 9th to 12th grades | Almost half of the students reported peer two or more forms of violence. Bullying was the most prevalent form of abuse (97.1%), followed by homophobic teasing (52.7%) and teen dating violence (40.9%). |
| 19 Reidy DE, et al, 2016, cross-sectional, USA (Texas) | I | To assess gender differences of adolescents reporting TDV and the frequency of TDV at multiple age points | 1,149 teens ages 11 to 17 years | The data suggest that at specific times during adolescence, boys among high-risk populations may be equally at risk for victimization. However, the psychological consequences (fear) are greater for girls. |
| 20 Calvete E et al, 2016, cohort. Spain (Bizkaia) | I, II | To assess the role of the social information processing (SIP) in dating aggression. | 1,272 secondary students (653 girls, 619 boys) | Girls presented higher rates of psychological aggression, whereas boys presented higher rates of sexual aggression. Hostile attribution, anger and aggressive response access are correlated factors in TDV. |
| 21 Diaz-Aguado MJ, Martinez R, 2015, cross-sectional, Spain | I | To establish a typology of male adolescents to contribute to prevent gender violence | 4,147 boys aged 14 to 18 years | 4 groups were identified: non-violent adolescent boys, boys who isolate and control their partners; boys who exert medium-level of abuse and boys who frequently engage in all types of violence. |
| 22 Reidy DE et al, 2015, cross-sectional, USA (Michigan) | I | To assess self-perceptions of gender role discrepancy and history of TDV. | 589 male adolescents | Boys who experience stress about being perceived as "sub-masculine" may be more likely to engage in sexual violence as a means of demonstrating their masculinity to self and/or others. |
| 23 Gressard LA et al, 2015, cross-sectional, USA. | I | To determine whether the gender inequality index (GII) correlates with levels of TDV victimization. | 413,583 high school students. | The prevalence of physical TDV victimization ranged from 7.0% to 14.8%, and the prevalence of sexual ADV victimization ranged from 7.8% to 13.8%. The GII was significantly associated with the state prevalence of female physical ADV victimization. |
| 24 Coker AL et al, 2014, cross-sectional, USA (Kentucky) | I, II | To estimate the prevalence rates of TDV by demographic factors and other forms of interpersonal violence | 14,190 high school students | Rates of DV victimization and perpetration were highest among females, those receiving free or reduced-price meals, those not exclusively attracted to the opposite sex, students reporting parental or guardian partner violence, binge drinking, and bullying. |
| 25 Taylor BG, Mumford EA., 2016, cross-sectional, USA | I | To examine the national prevalence rate of adolescent relationship abuse (ARA) | 1,804 teens – 12 to 18-years old | 69% of respondents reported lifetime ARA victimization and 63% perpetration. Psychological abuse was the most common and 12% reported perpetration physical abuse and/or sexual abuse. Gender differences were observed. |
| 26 Messinger AM et al, 2014, cross-sectional, USA (New York) | I | To test in adolescents the Johnson's intimate partner violence (IPV) typology in adults | 493 female high school students | The results suggest that the pattern of adolescent IPV differs substantially from that of adult IPV and that a relationship-level typology provided additional clarity in categorizing this pattern. |
| 29 Mahmoud AM et al, 2016, cross-sectional, Egypt | I | To assess the knowledge, attitudes and practices of adolescents in Upper Egypt on domestic gender-based violence-GBV | 400 boys and girls aged 11-16 years | The proportion of adolescents who could identify certain practices as forms of GBV was low. 65.6% of study participants could correctly identify the legal age of marriage as 18 years, yet only 22.0% identified earlier ages of marriage as a form of domestic GBV. |
| 30 Nagamatsu M et al, 2016, cross sectional, Japan | I | To investigate factors associated with the ability of students to recognize dating violence | 3,050 students aged from 13 to 15 years | Boys and girls with more knowledge of dating violence, who focused on an equal dating relationship showed a greater ability to recognize the signs of dating violence. |
| 34 Ahonen L, Loeber R.2016, cohort, USA (Pittsburg) | I, II | To investigate possible underlying factors for involvement in TDV* either as a perpetrator or a victim | 2,450 female adolescents | Results show a moderately strong association between parents' negative emotion regulation and their daughters' involvement in serious dating violence. |
| 35 Boafo IM, et al, 2014, cross-sectional, South Africa (Capetown) | I | To examine the relationship between TDV and self-efficacy for delayed sex | 3,655 students aged 12 to 17 years | The result revealed that there was a significant association between self-efficacy for delayed sex and socio-economic status, but this link decreased with age. |
| 36 Luo F et al, 2014, cohort, USA | I | To examine whether sexual minority youths (SMYS) are at increased risk for TDV | 62,861 adolescents | SMYs have significantly increased odds of TDV compared with non-SMYs. |
| 37 Martin-Storey A, 2015, cross-sectional, USA (Massachusetts) | I | To assess the prevalence of TDV of sexual minority status | 12,984 adolescents ages 14-18 years | The results supported a higher prevalence of dating violence among sexual minority youth. This vulnerability varied considerably across gender, sexual minority identity and the gender of sexual partners, but generally persisted when accounting for the mediating variables. |
*TDV: Teen Dating Violence; ** IPV: Intimate Partner Violence; *** RR: Relative Risk
Revised papers that mainly gave rise to category II.
| AUTHOR/YEAR/DESIGN/LOCAL | CAT | OBJECTIVES | SAMPLE | RESULTS/CONCLUSIONS |
|---|---|---|---|---|
| 15 Foshee VA et al, 2016, cross-sectional, USA (North Caroline) | II | To test risk factors for the TDV, bullying, and sexual harassment (SH) among adolescents who had been exposed to domestic violence | 399 mother and their adolescents | 70 % of the adolescents reported perpetrating at least one of the 3 forms of aggression. Poor conflict management skills was a risk for bullying and SH, but not TDV; acceptance of dating violence was a risk for dating violence and bullying, but not SH. |
| 16 Roman NV, Frantz JM., 2013, cross-sectional, Africa (7 countries) | II | To establish the prevalence of IPV and the implications of exposure on adolescents in Africa | 7 epidemiological studies | The prevalence of IPV in African countries ranged from approximately 26.5% to 48%. All studies reported exposure to family violence during childhood. |
| 19 Reidy DE et al 2016a, cross-sectional, USA (Texas) | II | To identify distinct classes of adolescents that commit TDV and assess differences on behaviors | 1,149 adolescents with violence exposure | The largest class of students was nonviolent on all indices ("nonaggressors") and the smallest class of students demonstrated high probability of nearly all indices of TDV ("multiform aggressors"). |
| 27 Aho N et al, 2016, cross-sectional, Sweden | II, I | To measure the prevalence of victimizing events and of poly-victimization | 5,960 high schools students (aged 17) | 84.1% of the students had experienced victimization during their lifetime, and 10.3% were categorized as poly-victims. |
| 33 Earnest AA, Brady SS., 2016, cross-sectional, USA (Minnesota) | II, I | To examine whether being a victim of violence in the household and feeling unsafe at school are associated with TDV | 75,590 ninth-and twelfth grade students | Significant differences were found by gender, grade, ethnicity, and free/reduced price lunch status. Being a victim of violence in the household and feeling unsafe at school, and low perceived care by parents were strongly associated with dating violence victimization. |
| 38 Copp JE et al, 2015, cross-sectional. USA (Ohio) | II, III | To examine the role of anger and depression in the association between neighborhood disadvantage and IPV. | 1,321 students | The anger and depressive symptoms partially explain the association between neighborhood disadvantage and IPV. The associations between disadvantage, disorder, and IPV depend on respondent's level of anger. |
| 39 Ellis WE, Wolfe DA, 2015, cross-sectional, Canada | II | To examine the relationship between reported bullying and TDV | 585 teens, with dating experience | Bullying positively predicted dating violence perpetration and victimization. Self-reported bullying also predicted observations of lower relationship support and higher withdrawal. |
| 41 Reyes HL et al , 2015, cohort. USA. | II | To examined whether social control and violence in other contexts moderate the associations between substance abuse and TDV | 1,920 students | Physical dating violence perpetration increased at time points when heavy alcohol and hard drug use were elevated; these associations were weaker when neighborhood social control was higher and stronger when family violence was higher. |
| 42 Viejo C et al, 2016, cross-sectional, Spain and United Kingdom | II | To examine and compare the prevalence and characteristics of physical dating violence among young people in England and Spain | England (199) and Spain (200) teens aged 15 to 18 | Approximately 23% of young people reported victimization and 30% reported perpetrating physical dating violence. In both countries, most of those involved in physical dating violence reported involvement in reciprocal violence. |
| 43 Cascardi M., 2016, cohort, USA. | II | To examine whether psychological distress mediated the violence in childhood and early adolescence and TDV in young adulthood | 532 female adolescents | Psychological distress may play a causal role in the relationship of violence in the home to TDV. Interventions targeting psychological distress, particularly in samples at risk for child maltreatment, may reduce the risk of dating violence victimization. |
| 44 Temple JR et al, 2016a, cohort, USA (Texas) | II, III | To examine whether abuse perpetration mediates the acceptance of dating violence and mental health | 1,042 ethnically diverse students | Acceptance of dating violence is a risk factor for negative psychological outcomes among adolescents who perpetrate psychological abuse |
| 45 Mumford EA et al, 2016, cohort, USA. | II | To investigate whether there are distinguishable parenting profiles with youth's attitudes about abusive dating behavior | 1,117 parent-youth dyads (ages 12-18 years) | Youth in the "Positive Parenting" class were significantly less likely 1 year later to be tolerant of violence against boyfriends under any conditions as well as less likely to perpetrate adolescent relationship abuse or to be a victim of adolescent relationship abuse. |
| 46 Temple JR, et al., 2016b, cohort, USA (Texas) | II | To examine whether dating abuse in one context predicts cyber dating abuse. | 780 adolescents(58% female) | Traditional and cyber abuse were positively associated. Cyber abuse perpetration in the previous year predicted cyber abuse perpetration 1 year later. |
* TDV: Teen Dating Violence; ** IPV: Intimate Partner Violence; *** RR: Relative Risk
Revised papers that mainly gave rise to category III.
| AUTHOR/YEAR/DESIGN/LOCAL | CAT | OBJECTIVES | SAMPLE | RESULTS/CONCLUSIONS |
|---|---|---|---|---|
| 32 Alleyne-Green B et al, 2016, cross-sectional, USA | III, II, I | To explored the relationship between of biological fathers and the sexual risk behaviors and dating violence of adolescent girls | 879 female adolescents | The more TDV an adolescent girl experiences, the less likely she is engaged in healthy sexual behaviors. TDV was directly associated with risky sexual behaviors among sexual experimented adolescents girls, particularly non-White girls. |
| 50 Martz DM et al, 2016, cross sectional. USA (North Caroline) | III | To examine the association between physical and sexual IPV** and other risk factors | 1,003 high school students | Each form of IPV was associated with greater risk for depression and suicidal behaviors, substance use, risky sexual behaviors. RR*** tended to be more robust and statistically significant for females compared with males. |
| 51 Whisman MA, et al., 2014, cross-sectional, USA | III | To examine the associations between intimate relationship involvement, intimate relationship quality, and psychiatric disorders | 1,566 adolescents in a serious intimate relationship | The prevalence of mood, anxiety, substance use disorders, and several specific disorders were significantly associated with (a) being married or involved in a serious relationship; and (b) reporting more negative relationship quality. |
| 52 Zaha R et al, 2013, cross-sectional, USA (Hawaii) | III | To explored the relationship between adolescent substance use and intimate partner violence (IPV). | 4,364 public school students | IPV victimization and substance use are prevalent among Hawai'i youth. Odds ratio calculations indicated that substance use is associated with an increased likelihood of reporting IPV victimization. |
| 53 McNaughton Reyes HL et al, 2014, cohort, USA (North Caroline) | III | To examine proximal and time-varying relations between drug use and physical dating aggression | 2,455 students attending | Proximal effects of marijuana use on dating aggression were found for girls and proximal effects of hard drug use on dating aggression were found for boys. |
| 54 Baker CK., 2016, qualitative analisys, USA (Hawaii) | III | To examine the context in which occur two health associated problems: adolescent dating violence (ADV) and substance use | 8 sex-specific focus groups with 39 high school students | Adolescents use alcohol and/or drugs at the start of the dating relationship and after the relationship ended as a way to cope with the breakup. Alcohol and drugs were also used throughout to cope with being in an abusive relationship. |
*TDV: Teen Dating Violence; ** IPV: Intimate Partner Violence; *** RR: Relative Risk