scholarly journals Longitudinal Risk Profiles for Physical, Psychological, and Sexual Dating Aggression: a Latent Profile Analysis with Spanish Adolescents

Author(s):  
Annalaura Nocentini ◽  
Noelia Muñoz-Fernández ◽  
Ersilia Menesini ◽  
Virginia Sánchez-Jiménez

Abstract Introduction Understanding the specific risk profile for distinct forms of dating aggression (DA) is very informative to define cross-cutting interventions. The study aims to evaluate whether specific profiles of risk defined using a person-oriented approach predicted physical, sexual, and psychological DA after 6 months. Methods Eight hundred sixty-six Spanish adolescents were interviewed at two time points (50.5% male; average age = 15.04). Latent profile analysis at T1 was used to delineate profiles of individual and relational risk. Results A three-class model best represents the data: a “normative” class (N = 768; 88%); a “highly aggressive” class characterized by acceptance of violent norms, bullying behaviors, and anger dysregulation (N = 13, 1.5%); a “jealous-conflictual” class characterized by cognitive and emotional jealousy, negative couple quality, and anger dysregulation (N = 85, 10%). Controlling for age, sex, and longitudinal stability, physical DA was predicted significantly by the “highly aggressive” profile (β = .11; p < .05), psychological DA by the “jealous-conflictual” profile (β = .16; p < .01), and sexual DA by the “jealous-conflictual” (β = .20; p < .001) and “highly aggressive” profile as a trend (β = .08; p = .071). Conclusions Specific risk profiles differentially predict risk for physical, sexual, and psychological DA perpetration. A general aggressive pattern predicts physical DA and sexual DA weakly, whereas psychological and sexual DA are associated with a couple of risks, where the dimension of jealousy, control, and conflict characterizes the dynamic between partners. Policy Implications Findings suggested that physical DA, and at a lower level sexual DA, should be prevented using cross-cutting strategies on general aggression. Psychological and sexual DA might require more contextually based interventions.

2020 ◽  
pp. 1-13
Author(s):  
Trenette Clark Goings ◽  
Tianyi Yu ◽  
Gene H. Brody

Abstract African American emerging adults face unique contextual risks that place them at heightened risk for poor psychosocial outcomes. The purpose of this study was to identify profiles of contextual risks among rural African American emerging adults and determine how risk profiles relate to psychosocial outcomes. Our representative sample included 667 fifth graders who live in the rural South and were followed from preadolescence into emerging adulthood. Contextual risks were assessed at ages 19–21 years via six indicators: perceived stress, daily stress, community disadvantage, parent–child conflict, racial discrimination, and childhood trauma. Four psychosocial variables were also assessed at ages 19–21 years: self-regulation, racial identity, parent support, and friend support. Psychosocial outcomes were assessed at age 25 years: education, substance use, future orientation, depressive symptoms, and externalizing behaviors. Latent profile analysis results indicated that the sample could be characterized by three patterns of contextual risk: low contextual risk, high contextual risk, and high contextual risk–childhood trauma. Risk profiles were associated with psychosocial outcomes, with the childhood trauma and high-risk profiles faring worse than the low-risk profile. Further, childhood trauma was particularly predictive of worse outcomes for emerging adults. Findings highlight the need for research and prevention programs that mitigate the effects of contextual risks on psychosocial outcomes for African American emerging adults in rural areas.


2021 ◽  
pp. 089020702110076
Author(s):  
Mariah T Hawes ◽  
Megan C Finsaas ◽  
Thomas M Olino ◽  
Daniel N Klein

Person-centered analyses, such as latent profile analysis, provide an approach to assessing individual differences in child temperament that aligns with typological theory and is well positioned for translation to applied settings. In a community sample, latent profile analysis was conducted using seven temperament traits assessed through laboratory observation when children were three- and six-years-old. At age 3, a four-class model fit best and subgroups were labeled “typical,” “sluggish,” “surgent,” and “dysregulated,” based on the pattern of class-specific means. A five-class model fit best at age 6 and subgroups were labeled “typical,” “sluggish,” “outgoing,” “active-impulsive” and “negative affect.” Associations between class membership and mother-reported temperament traits, concurrently assessed, were mostly consistent with the class identities. Comparison of subgroup membership across waves generally demonstrated patterns of continuity across groups characterized by similar trait patterns. This paper provides an illustrative guide for temperament researchers in the implementation of latent profile analysis, addressing important methodical considerations. Increased utilization of person-centered approaches like latent profile analysis could lead to important advances in the study of child temperament, such as improved understanding of the continuity of temperamental styles and more targeted risk assessment.


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