Literature DB >> 17854343

The role of schoolmates' smoking and non-smoking in adolescents' smoking transitions: a longitudinal study.

Jonathan B Bricker1, M Robyn Andersen, K Bharat Rajan, Irwin G Sarason, Arthur V Peterson.   

Abstract

AIMS: The first longitudinal investigation of the extent to which same-age and older schoolmates' smoking and non-smoking are associated with adolescents' smoking transitions during three grade intervals.
DESIGN: Same-age and older schoolmates' smoking and non-smoking were assessed when adolescents were at grades 5 (age 10), 7 (age 12) and 9 (age 14). Adolescents' smoking transitions were assessed at three grade intervals: 5th-7th (age 10-12), 7th-9th (age 12-14) and 9th-12th (age 14-17).
SETTING: Forty Washington State school districts. PARTICIPANTS AND MEASUREMENTS: Smoking questionnaire data were gathered on a cohort of adolescents (n = 4354 for same-age schoolmate analysis; n = 1833 for older schoolmate analysis) that was 49% female and 91% Caucasian.
FINDINGS: No significant evidence that same-age schoolmates' smoking or non-smoking was associated with any of the adolescent smoking transitions at any of the three grade intervals. In contrast, the probability that each older schoolmate's smoking was associated with the adolescent making the transition to trying smoking was 1% (95% CI: 0.4%, 1.5%) and with the transition from trying to monthly smoking was also 1% (95% CI: 0.2%, 2.0%) during the 7th-9th grade (age 12-14) interval. Moreover, each older schoolmate's non-smoking was associated with a 1.001-1.006 (all P < 0.05) relative risk of an adolescent not trying smoking or escalating from trying to monthly smoking at several grade intervals.
CONCLUSIONS: Interventions should perhaps focus on the influence of both smoking and non-smoking older schoolmates during late childhood and early adolescence.

Entities:  

Mesh:

Year:  2007        PMID: 17854343     DOI: 10.1111/j.1360-0443.2007.01945.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  9 in total

1.  Psychosocial factors in adolescent nicotine dependence symptoms: a sample of high school juniors who smoke daily.

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2.  A social contextual analysis of youth cigarette smoking development.

Authors:  Susan T Ennett; Vangie A Foshee; Karl E Bauman; Andrea Hussong; Robert Faris; John R Hipp; Li Cai
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3.  Social norms in the development of adolescent substance use: a longitudinal analysis of the International Youth Development Study.

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Journal:  J Youth Adolesc       Date:  2014-03-15

4.  Prevalence and Determinants of Waterpipe Tobacco Use among Adolescents in Oman.

Authors:  Jawad A Al-Lawati; Adamson S Muula; Sahar A Hilmi; Emmanuel Rudatsikira
Journal:  Sultan Qaboos Univ Med J       Date:  2008-03

Review 5.  Recent findings on peer group influences on adolescent smoking.

Authors:  Bruce G Simons-Morton; Tilda Farhat
Journal:  J Prim Prev       Date:  2010-08

6.  Adolescent psychological and social predictors of young adult smoking acquisition and cessation: A 10-year longitudinal study.

Authors:  Roy Otten; Jonathan B Bricker; Jingmin Liu; Bryan A Comstock; Arthur V Peterson
Journal:  Health Psychol       Date:  2011-03       Impact factor: 4.267

7.  Psychological and social risk factors in adolescent smoking transitions: a population-based longitudinal study.

Authors:  Jonathan B Bricker; K Bharat Rajan; Maureen Zalewski; Madelaine Ramey; Arthur V Peterson; M Robyn Andersen
Journal:  Health Psychol       Date:  2009-07       Impact factor: 4.267

8.  A Lifespan Developmental-Stage Approach to Tobacco and Other Drug Abuse Prevention.

Authors:  Steve Sussman
Journal:  ISRN Addict       Date:  2013

9.  Smoking among school-going adolescents in selected secondary schools in Peninsular Malaysia- findings from the Malaysian Adolescent Health Risk Behaviour (MyaHRB) study.

Authors:  Kuang Hock Lim; Hui Li Lim; Chien Huey Teh; Chee Cheong Kee; Yi Yi Khoo; Shubash Shander Ganapathy; Miaw Yn Jane Ling; Sumarni Mohd Ghazali; Eng Ong Tee
Journal:  Tob Induc Dis       Date:  2017-01-31       Impact factor: 2.600

  9 in total

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