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Precursors of adolescent substance use from early childhood and early adolescence: Testing a developmental cascade model

Published online by Cambridge University Press:  13 September 2013

Stephanie L. Sitnick*
Affiliation:
University of Pittsburgh
Daniel S. Shaw
Affiliation:
University of Pittsburgh
Luke W. Hyde
Affiliation:
University of Pittsburgh University of Michigan
*
Address correspondence and reprint requests to: Stephanie S. Sitnick, 210 South Bouquet Street, 4109 Sennott Square, University of Pittsburgh, Pittsburgh, PA 15260; E-mail: sls151@pitt.edu.
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Abstract

This study examined developmentally salient risk and protective factors of adolescent substance use assessed during early childhood and early adolescence using a sample of 310 low-income boys. Child problem behavior and proximal family risk and protective factors (i.e., parenting and maternal depression) during early childhood, as well as child and family factors and peer deviant behavior during adolescence, were explored as potential precursors to later substance use during adolescence using structural equation modeling. Results revealed that early childhood risk and protective factors (i.e., child externalizing problems, mothers' depressive symptomatology, and nurturant parenting) were indirectly related to substance use at the age of 17 via risk and protective factors during early and middle adolescence (i.e., parental knowledge and externalizing problems). The implications of these findings for early prevention and intervention are discussed.

Information

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Figure 1. The conceptual model of developmental risk factors for adolescent substance use.

Figure 1

Figure 2. The empirical results of the structural equation model. Standardized β scores are reported (n = 310). Practical fit indices of the structural model were as follows: Tucker–Lewis index = 0.916, comparative fit index = 0.912, and root mean square error of approximation = 0.041. Only significant pathways are presented in the figure. *p < .05. **p < .01.

Figure 2

Table 1. Self-reported proportions of substance use

Figure 3

Table 2. Descriptive statistics of continuous measures

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Table 3. Measurement model: Loadings for latent variables

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Table 4. Correlations between latent constructs

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Table 5. Path coefficients and covariates in the final structural model

Figure 7

Table 6. Indirect effects