Literature DB >> 7990469

The effects of family cohesiveness and peer encouragement on the development of adolescent alcohol use: a cohort-sequential approach to the analysis of longitudinal data.

T E Duncan1, S C Duncan, H Hops.   

Abstract

This article demonstrates a latent growth curve methodology for analyzing longitudinal data for adolescent alcohol use by combining information from different overlapping age cohorts to form a single developmental trajectory. Hypotheses concerning the form of growth in alcohol use, the extent of individual differences in the common trajectory over time, and covariates influencing both initial status and the form of growth were tested. Utilizing five separate age cohorts each measured over the same 4-year period, results suggested a common trajectory existed across the 8 years represented by the cohort-sequential analysis, with alcohol use increasing more rapidly during the adolescents' transition to high school. Family cohesion and peer encouragement for alcohol use were hypothesized to influence both initial status and the trajectory of alcohol consumption during adolescence. While family cohesion served to suppress initial levels of consumption delaying the upward trajectory of alcohol use, peer encouragement was related not only to initial, and elevated, levels of use, but was predictive of those changes that occurred during adolescence. Discussion involves the importance of family and peer influences in the development of adolescent alcohol use and the utility of the cohort-sequential approach in the analysis of longitudinal data.

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Year:  1994        PMID: 7990469     DOI: 10.15288/jsa.1994.55.588

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  41 in total

1.  Individual latent growth curves in the development of marijuana use from childhood to young adulthood.

Authors:  J S Brook; M Whiteman; S J Finch; N K Morojele; P Cohen
Journal:  J Behav Med       Date:  2000-10

Review 2.  A meta-analysis of marijuana and alcohol use by socio-economic status in adolescents aged 10-15 years.

Authors:  Mark Lemstra; Norman R Bennett; Cory Neudorf; Anton Kunst; Ushasri Nannapaneni; Lynne M Warren; Tanis Kershaw; Christina R Scott
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Review 3.  Moderators of the association between peer and target adolescent substance use.

Authors:  Shawn Marschall-Lévesque; Natalie Castellanos-Ryan; Frank Vitaro; Jean R Séguin
Journal:  Addict Behav       Date:  2013-10-03       Impact factor: 3.913

4.  Parent substance use as a predictor of adolescent use: A six-year lagged analysis.

Authors:  H Hops; T E Duncan; S C Duncan; M Stoolmiller
Journal:  Ann Behav Med       Date:  1996-09

5.  Trajectories of peer social influences as long-term predictors of drug use from early through late adolescence.

Authors:  Lei Duan; Chih-Ping Chou; Valentina A Andreeva; Mary Ann Pentz
Journal:  J Youth Adolesc       Date:  2008-07-15

6.  Progressions of alcohol, cigarette, and marijuana use in adolescence.

Authors:  S C Duncan; T E Duncan; H Hops
Journal:  J Behav Med       Date:  1998-08

7.  Examining the reciprocal relation between academic motivation and substance use: effects of family relationships, self-esteem, and general deviance.

Authors:  J A Andrews; S C Duncan
Journal:  J Behav Med       Date:  1997-12

Review 8.  Design considerations for characterizing psychiatric trajectories across the lifespan: application to effects of APOE-ε4 on cerebral cortical thickness in Alzheimer's disease.

Authors:  Wesley K Thompson; Joachim Hallmayer; Ruth O'Hara
Journal:  Am J Psychiatry       Date:  2011-07-01       Impact factor: 18.112

9.  Alcohol use during the transition from middle school to high school: national panel data on prevalence and moderators.

Authors:  Kristina M Jackson; John E Schulenberg
Journal:  Dev Psychol       Date:  2013-02-18

10.  Occupational level of the father and alcohol consumption during adolescence; patterns and predictors.

Authors:  M Droomers; C T M Schrijvers; S Casswell; J P Mackenbach
Journal:  J Epidemiol Community Health       Date:  2003-09       Impact factor: 3.710

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