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. 2008 Sep;69(5):639-48.
doi: 10.15288/jsad.2008.69.639.

Neighborhood socioeconomic status effects on adolescent alcohol outcomes using growth models: exploring the role of parental alcoholism

Ryan S Trim  1 , Laurie Chassin
Affiliations

Neighborhood socioeconomic status effects on adolescent alcohol outcomes using growth models: exploring the role of parental alcoholism

Ryan S Trim et al. J Stud Alcohol Drugs. 2008 Sep.

Abstract

Objective: There is conflicting evidence regarding the impact of neighborhood socioeconomic status (SES) on adolescent alcohol use. The current study tested whether the prospective effects of neighborhood SES on adolescent alcohol outcomes varied across parental alcoholism subgroups.

Method: Data from a group of adolescents (N=361) from an ongoing longitudinal study of children of alcoholics (COAs) and matched controls were collected at three initial annual assessments. Latent growth models were estimated with a range of related time-invariant and time-varying predictors.

Results: Among non-COAs, higher neighborhood SES predicted increased rates in alcohol use and consequences, whereas among COAs, lower neighborhood SES was predictive of increased rates in alcohol use and marginally predicted rates of consequences. There were also time-specific effects of family mobility on alcohol outcomes.

Conclusions: The current study provides evidence for differential effects of neighborhood SES on adolescent alcohol use and consequences for non-COAs and COAs. The group differences found in this study may help explain the equivocal findings from previous neighborhood studies, which may use samples with an unmeasured mix of high- and low-risk adolescents. Future research should identify pathways to alcohol use and problems for high- and low-risk adolescents living in neighborhoods that span the range of the socioeconomic spectrum.

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Figures

FIGURE 1
FIGURE 1
Hypothesized full latent growth model–based model with time-invariant and time-varying covariates. Alc = the alcohol outcome (either use or consequences); Move = whether the family changed residences since the previous assessment; SES = socioeconomic status; T = time.
FIGURE 2
FIGURE 2
Full latent growth model–based model of alcohol use for non-children of alcoholics (non-COAs) (top) and COAs (bottom). Only significant paths are included; refer to the text for the additional model details. Move = whether the family changed residences since the previous assessment; SES = socioeconomic status; T = time.
FIGURE 3
FIGURE 3
Full latent growth model–based model of alcohol consequences for non-children of alcoholics (non-COAs) (top) and COAs (bottom). Only significant paths are included, please refer to the text for the additional model details. Dashed lines indicate marginal effects (p < .10). SES = socioeconomic status; T = time.
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References

    1. Allison KW, Crawford I, Leone PE, Trickett E, Perez-Febles A, Burton LM, LeBlanc R. Adolescent substance use: Preliminary examinations of school and neighborhood context. Amer. J. Commun. Psychol. 1999;27:111–141. - PubMed
    1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-III), Washington, DC, 1980.
    1. Aneshensel, C.S and Sucoff McNeely, C.A. Neighborhood and adolescent mental health: Structure and experience. In: Socioeconomic Conditions, Stress and Mental Disorders: Toward a New Synthesis of Research and Public Policy Washington, DC: Mental Health Statistics Improvement Program, Center for Mental Health Services, Substance Abuse and Mental Health Services Administration, 2003(available at: www.mhsip.org).
    1. Bollen KA, Curran PJ. Latent Curve Models: A Structural Equation Perspective. Hoboken, NJ: John Wiley & Sons; 2006.
    1. Brooks-Gunn J, Duncan GJ, Klebanov PK, Sealand N. Do neighborhoods influence child and adolescent development? Amer. J. Sociol. 1993;99:353–395.

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