%0 Journal Article %J Violence Against Women %D 2019 %T Gender differences in intimate partner violence: A predictive analysis of IPV by child abuse and domestic violence exposure during early childhood %A Jung, Hyunzee %A Herrenkohl, Todd I. %A Skinner, Martie L. %A Lee, Jungeun O %A Klika, J B %A Rousson, Ashley N. %B Violence Against Women %V 25 %P 903-924 %G eng %0 Journal Article %J Prevention Science %D 2019 %T General and specific predictors of comorbid substance use and internalizing problems from adolescence to age 33 %A Jones, Tiffany M. %A Epstein, Marina %A Hill, Karl G. %A Bailey, Jennifer A. %A Hawkins, J D %B Prevention Science %I Springer %V 20 %P 705-714 %G eng %0 Journal Article %J Journal of Interpersonal Violence %D 2017 %T Gendered pathways from child abuse to adult crime through internalizing and externalizing behaviors in childhood and adolescence %A Jung, Hyunzee %A Herrenkohl, Todd I. %A Lee, Jungeun O. %A Hemphill, Sheryl A. %A Heerde, Jessica A. %A Skinner, Martie L. %B Journal of Interpersonal Violence %V 32 %P 2724-2750 %G eng %0 Journal Article %J Drug Alcohol Depend %D 2014 %T General and substance-specific predictors of young adult nicotine dependence, alcohol use disorder, and problem behavior: replication in two samples. %A Bailey, J A %A Samek, D R %A Keyes, M A %A Hill, K G %A Hicks, B M %A McGue, M %A Iacono, W G %A Epstein, M %A Catalano, R F %A Haggerty, K P %A Hawkins, J D %K Adolescent %K Adult %K Alcohol-Related Disorders %K Antisocial Personality Disorder %K Child %K Family Health %K Female %K Humans %K Male %K Minnesota %K Northwestern United States %K Risk Factors %K Substance-Related Disorders %K Tobacco Use Disorder %K Twins %K Unsafe Sex %K Young Adult %X

BACKGROUND: This paper presents two replications of a heuristic model for measuring environment in studies of gene-environment interplay in the etiology of young adult problem behaviors.

METHODS: Data were drawn from two longitudinal, U.S. studies of the etiology of substance use and related behaviors: the Raising Healthy Children study (RHC; N=1040, 47% female) and the Minnesota Twin Family Study (MTFS; N=1512, 50% female). RHC included a Pacific Northwest, school-based, community sample. MTFS included twins identified from state birth records in Minnesota. Both studies included commensurate measures of general family environment and family substance-specific environments in adolescence (RHC ages 10-18; MTFS age 18), as well as young adult nicotine dependence, alcohol and illicit drug use disorders, HIV sexual risk behavior, and antisocial behavior (RHC ages 24, 25; MTFS age 25).

RESULTS: Results from the two samples were highly consistent and largely supported the heuristic model proposed by Bailey et al. (2011). Adolescent general family environment, family smoking environment, and family drinking environment predicted shared variance in problem behaviors in young adulthood. Family smoking environment predicted unique variance in young adult nicotine dependence. Family drinking environment did not appear to predict unique variance in young adult alcohol use disorder.

CONCLUSIONS: Organizing environmental predictors and outcomes into general and substance-specific measures provides a useful way forward in modeling complex environments and phenotypes. Results suggest that programs aimed at preventing young adult problem behaviors should target general family environment and family smoking and drinking environments in adolescence.

%B Drug Alcohol Depend %V 138 %P 161-8 %8 2014 May 1 %G eng %R 10.1016/j.drugalcdep.2014.02.023 %0 Journal Article %J Addiction %D 2011 %T Gender differences in the impact of families on alcohol use: a lagged longitudinal study of early adolescents. %A Kelly, Adrian B %A O'Flaherty, Martin %A Toumbourou, John W %A Connor, Jason P %A Hemphill, Sheryl A %A Catalano, Richard F %K Adolescent %K Adolescent Behavior %K Age Factors %K Alcohol Drinking %K Child %K Family Relations %K Female %K Health Knowledge, Attitudes, Practice %K Humans %K Logistic Models %K Male %K Models, Statistical %K Parents %K Peer Group %K Sex Factors %K Victoria %X

AIMS: From the pre-teen to the mid-teen years, rates of alcohol use and misuse increase rapidly. Cross-sectional research shows that positive family emotional climate (low conflict, high closeness) is protective, and there is emerging evidence that these protective mechanisms are different for girls versus boys. The aim of this study was to explore gender differences in the longitudinal impact of family emotional climate on adolescent alcohol use and exposure to peer drinking networks.

DESIGN: Three-wave two-level (individual, within-individual over time) ordinal logistic regression with alcohol use in the past year as the dependent measure and family variables lagged by 1 year.

SETTING: Adolescents completed surveys during school hours.

PARTICIPANTS: A total of 855 Australian students (modal age 10-11 years at baseline) participating in the International Youth Development Study (Victoria, Australia).

MEASUREMENTS: These included emotional closeness to mother/father, family conflict, parent disapproval of alcohol use and peer alcohol use.

FINDINGS: For girls, the effect of emotional closeness to mothers on alcohol use was mediated by exposure to high-risk peer networks. Parent disapproval of alcohol use was protective for both genders, but this effect was larger for boys versus girls, and there was no evidence that peer use mediated this effect. Peer drinking networks showed stronger direct risk effects than family variables.

CONCLUSIONS: Family factors unidirectionally impact on growth in adolescent alcohol use and effects vary with child gender.

%B Addiction %V 106 %P 1427-36 %8 2011 Aug %G eng %N 8 %R 10.1111/j.1360-0443.2011.03435.x %0 Journal Article %J J Urban Aff %D 2011 %T A Geography-Specific Approach to Estimating the Distributional Impact of Highway Tolls: An Application to the Puget Sound Region of Washington State. %A Plotnick, Robert D %A Romich, Jennifer %A Thacker, Jennifer %A Dunbar, Matthew %X

This study contributes to the debate about tolls' equity impacts by examining the potential economic costs of tolling for low-income and non-low-income households. Using data from the Puget Sound metropolitan region in Washington State and GIS methods to map driving routes from home to work, we examine car ownership and transportation patterns among low-income and non-low-income households. We follow standard practice of estimating tolls' potential impact only on households with workers who would drive on tolled and non-tolled facilities. We then redo the analysis including broader groups of households. We find that the degree of regressivity is quite sensitive to the set of households included in the analysis. The results suggest that distributional analyses of tolls should estimate impacts on all households in the relevant region in addition to impacts on just users of roads that are currently tolled or likely to be tolled.

%B J Urban Aff %V 33 %P 345-366 %8 2011 Aug 7 %G eng %N 3 %R 10.1111/j.1467-9906.2011.00551.x %0 Journal Article %J J Genet Psychol %D 2010 %T Gender differences in risk and promotive classifications associated with adolescent delinquency. %A Whitney, Stephen D %A Renner, Lynette M %A Herrenkohl, Todd I %K Adolescent %K Attention Deficit Disorder with Hyperactivity %K Child %K Child Abuse %K Child Behavior Disorders %K Domestic Violence %K Female %K Humans %K Juvenile Delinquency %K Longitudinal Studies %K Male %K Models, Psychological %K Parenting %K Poverty %K Risk Factors %K Sex Characteristics %K Social Facilitation %K Socialization %X

How likely are children exposed to multiple risk factors to engage in delinquent behavior, to what extent do promotive factors mitigate exposure to these risk factors, and do the predictors of delinquent behavior differ by gender? To address these questions, the authors analyzed data from youths (229 boys, 187 girls) who completed the third wave of the Lehigh Longitudinal Study using Latent Profile Analysis. A unique risk and promotive class with slightly elevated rates of exposure to parental violence, mean levels of other risk factors and low levels of promotive factors was present for girls but not for boys. Additionally, for boys and girls, high-risk, low-promotive individuals were significantly more likely to engage in delinquent behavior than low-risk, high-promotive cases. Findings suggest the need to examine risk and promotive factors in combination to account for their shared influences on developmental outcomes for youth.

%B J Genet Psychol %V 171 %P 116-38 %8 2010 Apr-Jun %G eng %N 2 %R 10.1080/00221320903548092 %0 Journal Article %J J Community Psychol %D 2010 %T GENDER DIFFERENCES IN RISK/PROTECTION PROFILES FOR LOW ACADEMIC PERFORMANCE. %A Whitney, Stephen D %A Renner, Lynette M %A Herrenkohl, Todd I %X

Using holistic-interactionistic theory, the simultaneous nature of risk and protection factors for both males and females (age 6-11 in Wave 1) is examined using Latent Profile Analysis (LPA). Risk/protection classes are estimated using multiple risk factor variables (e.g., physical child abuse) and multiple protective factors (e.g., extracurricular activities). These risk/protection classes were used to predict low academic performance. For both males and females, high risk, low protection individuals were significantly more likely to experience low academic performance than low risk, high protection cases. Gender differences emerged in a class for females that included the importance of parental/peer disapproval of anti-social behavior as a protective factor that was not present for males. Findings support elements of the holistic-interactionistic theory for human development and suggest the need to examine risk and protective factors in combination to account for their shared influences on developmental outcomes. Implications for youths underperforming academically are discussed.

%B J Community Psychol %V 38 %P 435-455 %8 2010 May 1 %G eng %N 4 %R 10.1002/jcop.20373 %0 Journal Article %J J Child Psychol Psychiatry %D 2010 %T Growth in adolescent delinquency and alcohol use in relation to young adult crime, alcohol use disorders, and risky sex: A comparison of youth from low- versus middle-income backgrounds. %A Mason, W A %A Hitch, Julia E %A Kosterman, Rick %A McCarty, Carolyn A %A Herrenkohl, Todd I %A Hawkins, J D %K Adolescent %K Age Factors %K Alcohol Drinking %K Alcohol-Related Disorders %K Child %K Female %K Follow-Up Studies %K Humans %K Juvenile Delinquency %K Male %K Risk Factors %K Risk-Taking %K Sampling Studies %K Social Class %K United States %K Unsafe Sex %K Violence %K Young Adult %X

BACKGROUND: This study examined adolescent delinquency and alcohol use in relation to young adult crime, alcohol use disorders (AUDs), and risky sex. Analyses further examined the influences of late childhood involvement in these problem behavior outcomes, with mediation through teen delinquency and alcohol use, and examined differences in the pathways for youth from low- compared to middle-income backgrounds.

METHOD: Multiple-group latent growth curve modeling was conducted using data collected from a sample of 808 youth followed from age 10 to age 24. Self-report assessments included delinquent involvement, alcohol use, and sexual activity in late childhood; delinquency and alcohol use in adolescence; and crime, AUDs, and risky sex in early adulthood.

RESULTS: Late childhood delinquent involvement was associated with young adult crime, AUDs, and risky sex indirectly through adolescent delinquency, and had a persistent direct effect on crime. Adolescent delinquency also mediated the relation between early sex onset and crime. Early alcohol use predicted a higher level of, and a faster rate of increase in, adolescent drinking, which predicted, in turn, young adult AUDs and risky sex. Significant group differences indicated stronger associations between adolescent delinquency and each young adult outcome for youth from low- compared to those from middle-income backgrounds.

CONCLUSIONS: Early intervention may help prevent the development of crime, AUDs, and risky sex behaviors, especially among disadvantaged youth.

%B J Child Psychol Psychiatry %V 51 %P 1377-85 %8 2010 Dec %G eng %N 12 %R 10.1111/j.1469-7610.2010.02292.x