Literature DB >> 21701696

Adolescent Academic Adjustment Factors and the Trajectories of Cigarette Smoking from Adolescence to the Mid-thirties.

Judith S Brook, Elinor Balka, Chenshu Zhang, Kerstin Pahl, David W Brook.   

Abstract

Knowledge of early predictors which differentiate between various longitudinal smoking patterns might facilitate designing more effective interventions. Using data from 806 participants, we examined the association of three adolescent academic adjustment factors, Educational Aspirations and Expectations; Perception of School Achievement; and Trouble at School, to five trajectories of cigarette use covering 23 years from adolescence to adulthood. The five trajectory groups were: heavy/continuous smokers, late starters, quitter/decreasers, occasional smokers, and nonsmokers. Each academic factor predicted smoking trajectory group membership. Each academic factor was significantly associated with being a heavy/continuous smoker rather than a member of other trajectory groups. Behavioral academic factors also differentiated quitter/decreasers from late starters, occasional smokers, and nonsmokers. Adolescents manifesting academic maladjustment risk becoming early, chronic smokers. Prevention and intervention efforts targeting educational maladjustment may decrease cigarette smoking.

Entities:  

Year:  2011        PMID: 21701696      PMCID: PMC3119518          DOI: 10.2753/IMH0020-7411400101

Source DB:  PubMed          Journal:  Int J Ment Health        ISSN: 0020-7411


  18 in total

1.  High-risk behaviors associated with early smoking: results from a 5-year follow-up.

Authors:  P L Ellickson; J S Tucker; D J Klein
Journal:  J Adolesc Health       Date:  2001-06       Impact factor: 5.012

2.  Finite mixture modeling with mixture outcomes using the EM algorithm.

Authors:  B Muthén; K Shedden
Journal:  Biometrics       Date:  1999-06       Impact factor: 2.571

3.  Trajectories of cigarette smoking among African Americans and Puerto Ricans from adolescence to young adulthood: associations with dependence on alcohol and illegal drugs.

Authors:  Judith S Brook; Elinor B Balka; Yuming Ning; David W Brook
Journal:  Am J Addict       Date:  2007 May-Jun

4.  Drug use and the risk of major depressive disorder, alcohol dependence, and substance use disorders.

Authors:  David W Brook; Judith S Brook; Chenshu Zhang; Patricia Cohen; Martin Whiteman
Journal:  Arch Gen Psychiatry       Date:  2002-11

5.  Trajectories of cigarette smoking from adolescence to young adulthood as predictors of obesity in the mid-30s.

Authors:  David W Brook; Chenshu Zhang; Judith S Brook; Stephen J Finch
Journal:  Nicotine Tob Res       Date:  2010-01-18       Impact factor: 4.244

6.  Tobacco use and health in young adulthood.

Authors:  Judith S Brook; David W Brook; Chenshu Zhang; Patricia Cohen
Journal:  J Genet Psychol       Date:  2004-09       Impact factor: 1.509

7.  Predictors of smoking development in a population-based sample of adolescents: a prospective study.

Authors:  Marianne B M van den Bree; Michelle D Whitmer; Wallace B Pickworth
Journal:  J Adolesc Health       Date:  2004-09       Impact factor: 5.012

8.  Developmental trajectories of cigarette smoking from adolescence to the early thirties: personality and behavioral risk factors.

Authors:  David W Brook; Judith S Brook; Chenshu Zhang; Martin Whiteman; Patricia Cohen; Stephen J Finch
Journal:  Nicotine Tob Res       Date:  2008-08       Impact factor: 4.244

9.  The psychosocial etiology of adolescent drug use: a family interactional approach.

Authors:  J S Brook; D W Brook; A S Gordon; M Whiteman; P Cohen
Journal:  Genet Soc Gen Psychol Monogr       Date:  1990-05

10.  Multiple trajectories of cigarette smoking and the intergenerational transmission of smoking: a multigenerational, longitudinal study of a Midwestern community sample.

Authors:  Laurie Chassin; Clark Presson; Dong-Chul Seo; Steven J Sherman; Jon Macy; R J Wirth; Patrick Curran
Journal:  Health Psychol       Date:  2008-11       Impact factor: 4.267

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  8 in total

1.  The smoking patterns of women in their forties: their relationship to later osteoporosis.

Authors:  Judith S Brook; Elinor B Balka; Chenshu Zhang
Journal:  Psychol Rep       Date:  2012-04

2.  Longitudinal Smoking Patterns: Do They Predict Symptoms of ADHD in Adults?

Authors:  Judith S Brook; Elinor B Balka; Chenshu Zhang; David W Brook
Journal:  J Atten Disord       Date:  2015-05-04       Impact factor: 3.256

3.  Insomnia in adults: the impact of earlier cigarette smoking from adolescence to adulthood.

Authors:  Judith S Brook; Chenshu Zhang; Elizabeth Rubenstone; David W Brook
Journal:  J Addict Med       Date:  2015 Jan-Feb       Impact factor: 3.702

4.  Trajectories of cigarette smoking from adolescence to adulthood as predictors of unemployment status.

Authors:  Judith S Brook; Chenshu Zhang; Lindsay Burke; David W Brook
Journal:  Nicotine Tob Res       Date:  2014-07-05       Impact factor: 4.244

5.  Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis.

Authors:  Yvonne M Terry-McElrath; Patrick M O'Malley; Lloyd D Johnston
Journal:  Nicotine Tob Res       Date:  2017-12-13       Impact factor: 4.244

6.  Prefrontal white matter impairment in substance users depends upon the catechol-o-methyl transferase (COMT) val158met polymorphism.

Authors:  Xiaochu Zhang; Mary R Lee; Betty Jo Salmeron; Dan J Stein; L Elliot Hong; Xiujuan Geng; Thomas J Ross; Nan Li; Colin Hodgkinson; Pei-Hong Shen; Yihong Yang; David Goldman; Elliot A Stein
Journal:  Neuroimage       Date:  2012-12-06       Impact factor: 7.400

7.  A history of ashes: an 80 year comparative portrait of smoking initiation in American Indians and Non-Hispanic whites--the Strong Heart Study.

Authors:  Raymond Orr; Darren Calhoun; Carolyn Noonan; Ron Whitener; Jeff Henderson; Jack Goldberg; Patrica Nez Henderson
Journal:  Int J Environ Res Public Health       Date:  2013-05-02       Impact factor: 3.390

8.  Nondaily smoking: a population-based, longitudinal study of stability and predictors.

Authors:  Elisabeth Kvaavik; Tilmann von Soest; Willy Pedersen
Journal:  BMC Public Health       Date:  2014-02-05       Impact factor: 3.295

  8 in total

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