72 research outputs found

    Sexual Dating Aggression Across Grades 8 Through 12: Timing and Predictors of Onset

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    Investigators have identified a number of factors that increase risk for physical and psychological dating abuse perpetration during adolescence, but as yet little is known about the etiology of sexual dating aggression during this critical developmental period. This is an important gap in the literature given that research suggests that patterns of sexual dating violence that are established during this period may carry over into young adulthood. Using a sample of 459 male adolescents (76% White, 19% Black), the current study used survival analysis to examine the timing and predictors of sexual dating aggression perpetration onset across grades 8 through 12. Risk for sexual dating aggression onset increased across early adolescence, peaked in the 10th grade, and desisted thereafter. As predicted based on the Confluence Model of sexual aggression, associations between early physical aggression towards peers and dates and sexual aggression onset were stronger for teens reporting higher levels of rape myth acceptance. Contrary to predictions, inter-parental violence, prior victimization experiences, and parental monitoring knowledge did not predict sexual dating aggression onset. Findings support the notion that risk factors may work synergistically to predict sexual dating aggression and highlight the importance of rape myth acceptance as a construct that should be addressed by violence prevention programs

    Predictors of Latent Trajectory Classes of Physical Dating Violence Victimization

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    This study identified classes of developmental trajectories of physical dating violence victimization from grades 8 to 12 and examined theoretically-based risk factors that distinguished among trajectory classes. Data were from a multi-wave longitudinal study spanning 8th through 12th grade (n = 2,566; 51.9% female). Growth mixture models were used to identify trajectory classes of physical dating violence victimization separately for girls and boys. Logistic and multinomial logistic regressions were used to identify situational and target vulnerability factors associated with the trajectory classes. For girls, three trajectory classes were identified: a low/non-involved class; a moderate class where victimization increased slightly until the 10th grade and then decreased through the 12th grade; and a high class where victimization started at a higher level in the 8th grade, increased substantially until the 10th grade, and then decreased until the 12th grade. For males, two classes were identified: a low/non-involved class, and a victimized class where victimization increased slightly until the 9th grade, decreased until the 11th grade, and then increased again through the 12th grade. In bivariate analyses, almost all of the situational and target vulnerability risk factors distinguished the victimization classes from the non-involved classes. However, when all risk factors and control variables were in the model, alcohol use (a situational vulnerability) was the only factor that distinguished membership in the moderate trajectory class from the non-involved class for girls; anxiety and being victimized by peers (target vulnerability factors) were the factors that distinguished the high from the non-involved classes for the girls; and victimization by peers was the only factor distinguishing the victimized from the non-involved class for boys. These findings contribute to our understanding of the heterogeneity in physical dating violence victimization during adolescence and the malleable risk factors associated with each trajectory class for boys and girls

    Protective Effects of Maternal and Peer Support on Depressive Symptoms during Adolescence

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    The current study examined the contributions of maternal and peer support to depressive symptoms in early to mid-adolescence and variation in these contributions across age, gender, and race. Five waves of data on maternal support, peer support, and depressive symptoms were collected on rural youth (N = 3,444) at six month intervals. Multilevel modeling was used to evaluate within and between-person effects of maternal and peer support on depressive symptoms. Within-person effects of peer support did not vary by age, gender, or race. At the between-person level, peer support predicted levels of depressive symptoms at age 12, but this effect became nonsignificant after controlling for maternal support. Within-person effects of maternal support did not vary with age but were qualified by gender and race. Between-person effects of maternal support on depressive symptom levels at age 12 and slopes varied across race and gender, respectively. Findings highlight the robustness of the protective effects of maternal and peer support during adolescence among girls and white youth

    Examining How Neighborhood Disadvantage Influences Trajectories of Adolescent Violence: A Look at Social Bonding and Psychological Distress

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    To understand how neighborhoods influence the development of youth violence, we investigated intrapersonal mediators of the relationship between neighborhood disadvantage and youth violence trajectories between ages 11 and 18. The hypothesized mediators included indicators of social bonding (belief in conventional values, involvement in school activities, religious engagement, and commitment to traditional goals) and psychological distress

    Gender Role Attitudes and Male Adolescent Dating Violence Perpetration: Normative Beliefs as Moderators

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    Commonly used dating violence prevention programs assume that promotion of more egalitarian gender role attitudes will prevent dating violence perpetration. Empirical research examining this assumption, however, is limited and inconsistent. The current study examined the longitudinal association between gender role attitudes and physical dating violence perpetration among adolescent boys (n=577; 14% Black, 5% other race/ethnicity) and examined whether injunctive (i.e., acceptance of dating violence) and descriptive (i.e., beliefs about dating violence prevalence) normative beliefs moderated the association. As expected, the findings suggest that traditional gender role attitudes at T1 were associated with increased risk for dating violence perpetration 18 months later (T2) among boys who reported high, but not low, acceptance of dating violence (injunctive normative beliefs) at T1. Descriptive norms did not moderate the effect of gender role attitudes on dating violence perpetration. The results suggest that injunctive norms and gender role attitudes work synergistically to increase risk for dating violence perpetration among boys; as such, simultaneously targeting both of these constructs may be an effective prevention approach

    Sex Differences in the Effects of Neighborhood Socioeconomic Disadvantage and Social Organization on Rural Adolescents' Aggression Trajectories

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    We determined whether effects of neighborhood socioeconomic disadvantage on trajectories of aggression were moderated or mediated by neighborhood social organization and examined sex differences in neighborhood effects for rural adolescents. We used five waves of survey data collected over 2.5 years linked with neighborhood data from interviews with parents and the U.S. Census. The sample (N = 5118) was 50.1% female, 52.0% white and 38.3% African-American; average age at baseline was 13.1 years. Multilevel growth curve models for both girls and boys showed no significant interactions between neighborhood socioeconomic disadvantage and indicators of social organization. Neither sample showed evidence of mediated effects. In main effects models, neighborhood disadvantage was associated with the average aggression trajectory for girls. For boys, the effects of neighborhood socioeconomic disadvantage and social disorganization appeared to be confounded with each other. Neighborhood disadvantage is detrimental for rural girls regardless of the level of social organization

    Associations of Neighborhood and Family Factors with Trajectories of Physical and Social Aggression During Adolescence

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    Adolescents develop within multiple contexts that synergistically influence their behavior and health. To understand the simultaneous influence of neighborhood and family contexts on adolescents, this study examined relationships of neighborhood socioeconomic disadvantage, neighborhood social disorganization, family conflict, parent-child bonding and parental control with trajectories of physical and social aggression. The sample included 5,118 adolescents between ages 11 and 18 (50% female, 52% Caucasian) living in predominantly rural areas. Multilevel growth curve models showed an interaction between neighborhood disadvantage, family conflict and gender on the physical aggression trajectories. The interaction suggested more rapid processes of both increase in and desistance from physical aggression over time for boys with high neighborhood disadvantage and high family conflict, as well as a higher starting point, more gradual increase and slower process of desistance over time for girls in similar neighborhood and family contexts. Less parent-child bonding and less parental control also were associated with higher initial levels of physical aggression. For social aggression, an interaction between family conflict and gender showed girls with high family conflict had the highest initial levels of social aggression, with a more gradual increase over time for these girls compared to their male counterparts in high-conflict families or their female counterparts in low-conflict families. Less parent-child bonding was associated with higher initial levels and a faster increase over time of social aggression, and less parental control was associated with higher initial levels of social aggression. The findings suggest early family-based interventions may help prevent perpetration of both physical and social aggression during adolescence

    The Development of Aggression During Adolescence: Sex Differences in Trajectories of Physical and Social Aggression Among Youth in Rural Areas

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    Few studies have examined the development of social aggression over time or described trajectories of aggressive behaviors for youth living in rural areas. We compared the timing and patterns of physical and social aggression and examined sex differences in development using five waves of in-school surveys administered over 2.5 years. The sample (N=5151) was 50.0% female, 52.1% white and 38.2% African-American. At baseline the average age was 13.1 years. Multilevel growth curve models showed that physical and social aggression followed curvilinear trajectories from ages 11 to 18, with increases in each type of aggression followed by subsequent declines. Physical aggression peaked around age 15; social aggression peaked around age 14. Boys consistently perpetrated more physical aggression than girls, but the trajectories were parallel. Girls and boys perpetrated the same amount of social aggression at all ages. We discuss implications for prevention programming to address the marked increases in both types of aggression observed during early adolescence

    The Stability of Perceived Pubertal Timing Across Adolescence

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    It is unknown whether perceived pubertal timing changes as puberty progresses or whether it is an important component of adolescent identity formation that is fixed early in pubertal development. The purpose of this study is to examine the stability of perceived pubertal timing among a school-based sample of rural adolescents aged 11 to 17 (N=6,425; 50% female; 53% White). Two measures of pubertal timing were used, stage-normative, based on the Pubertal Development Scale, a self-report scale of secondary sexual characteristics, and peer-normative, a one-item measure of perceived pubertal timing. Two longitudinal methods were used: one-way random effects ANOVA models and latent class analysis. When calculating intraclass correlation coefficients using the one-way random effects ANOVA models, which is based on the average reliability from one time point to the next, both measures had similar, but poor, stability. In contrast, latent class analysis, which looks at the longitudinal response pattern of each individual and treats deviation from that pattern as measurement error, showed three stable and distinct response patterns for both measures: always early, always on-time, and always late. Study results suggest instability in perceived pubertal timing from one age to the next, but this instability is likely due to measurement error. Thus, it may be necessary to take into account the longitudinal pattern of perceived pubertal timing across adolescence rather than measuring perceived pubertal timing at one point in time

    Proximal and time-varying effects of cigarette, alcohol, marijuana and other hard drug use on adolescent dating aggression

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    Although numerous studies have established a link between substance use and adult partner violence, little research has examined the relationship during adolescence and most extant research has not examined multiple substance use types. The current study used hierarchical growth modeling to simultaneously examine proximal (between-person) and time-varying (within-person) relations between cigarette, alcohol, marijuana and hard drug use and physical dating aggression across grades 8 through 12 while controlling for demographic covariates and shared risk factors. 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. Time-varying effects were found for alcohol for both boys and girls and for hard drug use for boys only. Overall, findings suggest that alcohol, marijuana and hard drug use predict whether and when adolescents engage in dating aggression and should be targeted by prevention interventions
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