Literature DB >> 9618625

Teenage smoking, attempts to quit, and school performance.

T W Hu1, Z Lin, T E Keeler.   

Abstract

OBJECTIVES: This study examined the relationship between school performance, smoking, and quitting attempts among teenagers.
METHODS: A logistic regression model was used to predict the probability of being a current smoker or a former smoker. Data were derived from the 1990 California Youth Tobacco Survey.
RESULTS: Students' school performance was a key factor in predicting smoking and quitting attempts when other sociodemographic and family income factors were controlled.
CONCLUSIONS: Developing academic or remedial classes designed to improve students' school performance may lead to a reduction in smoking rates among teenagers while simultaneously providing a human capital investment in their futures.

Entities:  

Mesh:

Year:  1998        PMID: 9618625      PMCID: PMC1508218          DOI: 10.2105/ajph.88.6.940

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  17 in total

1.  Relative effects of low socio-economic status, parental smoking and poor scholastic performance on smoking among high school students.

Authors:  B L Borland
Journal:  Soc Sci Med       Date:  1975-01       Impact factor: 4.634

2.  Parent educational attainment and adolescent cigarette smoking.

Authors:  L Chassin; C C Presson; S J Sherman; D A Edwards
Journal:  J Subst Abuse       Date:  1992

3.  The natural history of cigarette smoking and young adult social roles.

Authors:  L Chassin; C C Presson; S J Sherman; D A Edwards
Journal:  J Health Soc Behav       Date:  1992-12

4.  Why children start smoking cigarettes: predictors of onset.

Authors:  K M Conrad; B R Flay; D Hill
Journal:  Br J Addict       Date:  1992-12

5.  Risk factors for adolescent cigarette smoking. The Muscatine study.

Authors:  T M Reimers; P R Pomrehn; S L Becker; R M Lauer
Journal:  Am J Dis Child       Date:  1990-11

6.  Correlates and predictors of smoking among black adolescents.

Authors:  G J Botvin; E Baker; C J Goldberg; L Dusenbury; E M Botvin
Journal:  Addict Behav       Date:  1992       Impact factor: 3.913

7.  Change in children's smoking from age 9 to age 15 years: the Dunedin Study.

Authors:  W R Stanton; P A Silva; T P Oei
Journal:  Public Health       Date:  1991-11       Impact factor: 2.427

8.  Racial/Ethnic differences in smoking, drinking, and illicit drug use among American high school seniors, 1976-89.

Authors:  J G Bachman; J M Wallace; P M O'Malley; L D Johnston; C L Kurth; H W Neighbors
Journal:  Am J Public Health       Date:  1991-03       Impact factor: 9.308

9.  Smoking cessation in young adults: age at initiation of cigarette smoking and other suspected influences.

Authors:  N Breslau; E L Peterson
Journal:  Am J Public Health       Date:  1996-02       Impact factor: 9.308

10.  Predicting cigarette smoking among adolescents using cross-sectional and longitudinal approaches.

Authors:  L D Bertrand; T J Abernathy
Journal:  J Sch Health       Date:  1993-02       Impact factor: 2.118

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  5 in total

Review 1.  Investing in youth tobacco control: a review of smoking prevention and control strategies.

Authors:  P M Lantz; P D Jacobson; K E Warner; J Wasserman; H A Pollack; J Berson; A Ahlstrom
Journal:  Tob Control       Date:  2000-03       Impact factor: 7.552

Review 2.  Vaccines against nicotine: how effective are they likely to be in preventing smoking?

Authors:  F J Vocci; C N Chiang
Journal:  CNS Drugs       Date:  2001       Impact factor: 5.749

3.  Child maltreatment and adult cigarette smoking: a long-term developmental model.

Authors:  James Topitzes; Joshua P Mersky; Arthur J Reynolds
Journal:  J Pediatr Psychol       Date:  2009-12-07

4.  Smoking differences between employees in faculties of the University of Tartu, Estonia, and changes during the country's transition.

Authors:  Simo Näyhä; Jana Kivastik; Peet-Henn Kingisepp; Rauno Heikkinen
Journal:  BMC Public Health       Date:  2011-03-08       Impact factor: 3.295

5.  Determinants of waterpipe use amongst adolescents in Northern Sweden: a survey of use pattern, risk perception, and environmental factors.

Authors:  Rathi Ramji; Judy Arnetz; Maria Nilsson; Hikmet Jamil; Fredrik Norström; Wasim Maziak; Ywonne Wiklund; Bengt Arnetz
Journal:  BMC Res Notes       Date:  2015-09-15
  5 in total

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