Risk and direct protective factors for youth violence: results from the National Longitudinal Study of Adolescent Health

Am J Prev Med. 2012 Aug;43(2 Suppl 1):S57-66. doi: 10.1016/j.amepre.2012.04.023.

Abstract

Background: The majority of studies on youth violence have focused on factors that increase the risk for youth violence.

Purpose: To assess whether determinants of violence operate as risk factors, direct protective factors, or both during adolescence and young adulthood.

Methods: Data from participants in the National Longitudinal Study of Adolescent Health, aged 13 years at Wave 1, were analyzed. Individual, family, school, peer, and community factors during adolescence (Wave 1 [1995]; age 13 years) were examined as predictors of violence involvement during adolescence (Wave 2 [1996]; age 14 years) and in young adulthood (Wave 3 [2001-2002]; ages 18-20 years).

Results: Twelve percent of participants aged 14 years and 8% of participants aged 18-20 years reported serious violence involvement during the past 12 months. Bivariate analyses revealed risk and direct protective factors for violence at both time points. Risk for violence at age 14 years was increased by earlier attention-deficit hyperactivity disorder (ADHD) symptoms, low school connectedness, low grade-point average, and high peer delinquency. Direct protective factors for youth violence at age 14 years included low ADHD symptoms, low emotional distress, high educational aspirations, and high grade-point averages. Bivariate analyses showed a lower risk of violence among youth aged 18-20 years who reported low peer delinquency at age 13 years. Multiple logistic regression analyses predicting violence involvement showed direct protective effects for low ADHD symptoms and low emotional distress at age 14 years, and a direct protective effect for low peer delinquency at ages 18-20 years, after controlling for demographic characteristics.

Conclusions: Findings suggest that violence involvement remains difficult to predict but indicate the importance of assessing both risk and direct protective factors for understanding violent behavior.

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adolescent Behavior*
  • Age Factors
  • Family Relations
  • Female
  • Humans
  • Juvenile Delinquency / statistics & numerical data*
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Peer Group
  • Risk Factors
  • United States
  • Violence / prevention & control
  • Violence / statistics & numerical data*
  • Young Adult