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. 2009 Sep;23(3):415-27.
doi: 10.1037/a0016003.

Alcohol abuse and dependence symptoms: a multidimensional model of common and specific etiology

Jeffrey S Simons  1 , Kate B Carey, Thomas A Wills
Affiliations

Alcohol abuse and dependence symptoms: a multidimensional model of common and specific etiology

Jeffrey S Simons et al. Psychol Addict Behav. 2009 Sep.

Abstract

This study tested a theoretical model hypothesizing differential pathways from 5 predictors to alcohol abuse and dependence symptoms. The participants were college students (N = 2,270) surveyed on 2 occasions in a 6-month prospective design. Social norms, perceived utility of alcohol use, and family history of alcohol problems were indirectly associated with Time 2 abuse and dependence symptoms through influencing level of alcohol consumption. Poor behavioral control had a direct effect on alcohol abuse but not on dependence symptoms at Time 2, whereas affective lability exhibited a direct prospective effect on alcohol dependence but not on abuse symptoms. A multigroup analysis showed that high levels of poor control increased the strength of paths from both consumption level and affective lability to abuse symptoms. Implications for prevention of alcohol problems among college students are discussed.

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Figures

Figure 1
Figure 1
Heuristic model depicting primary hypotheses. Dashed lines are moderation effects.
Figure 2
Figure 2
Structural model for the full alcohol use sample (N = 2084). All values are standardized coefficients. Gender is coded 1 = Men, 0 = Women. *p < .05, †p < .01, §p < .001. Error variances between paired T1 and T2 indicators were allowed to covary. Nonsignificant paths from family history, lability, poor control, and use utility to T2 consumption, poor control to T2 dependence, lability to T1 abuse are omitted for clarity but are included in model estimation.
Figure 3
Figure 3
Structural model for the multigroup analysis (N = 2084). All values are unstandardized coefficients. Gender is coded 1 = Men, 0 = Female. *p < .05, †p < .01, §p < .001. Error variances between paired T1 and T2 indicators were allowed to covary. Path coefficients that were significantly different across groups are depicted with the high poor control group above, and the low poor control group below the horizontal lines. Nonsignificant paths from lability, use utility, and family history to T2 consumption, and gender to T1 abuse are omitted in the figure for clarity but are included in model estimation.
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References

    1. American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition, Text Revision American Psychiatric Association; Washington, DC: 2000.
    1. Babor TF. We shape our tools, and thereafter our tools shape us: psychiatric epidemiology and the alcohol dependence syndrome concept. Addiction. 2007;102(10):1534–1535. discussion 1537-1538. - PubMed
    1. Baer JS. Student factors: Understanding individual variation in college drinking. Journal of Studies on Alcohol. 2002;(Supplement No. 14):40–53. - PubMed
    1. Baker TB, Piper ME, McCarthy DE, Majeskie MR, Fiore MC. Addiction motivation reformulated: an affective processing model of negative reinforcement. Psychol Rev. 2004;111(1):33–51. - PubMed
    1. Brody GH, Ge X. Linking parenting processes and self-regulation to psychological functioning and alcohol use during early adolescence. Journal of Family Psychology. 2001;15(1):82–94. - PubMed

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