Literature DB >> 16823633

A multi-level analysis examining how smoking friends, parents, and older students in the school environment are risk factors for susceptibility to smoking among non-smoking elementary school youth.

Scott T Leatherdale1, Paul W McDonald, Roy Cameron, Mari Alice Jolin, K Stephen Brown.   

Abstract

The purpose of this study was to examine how social models for smoking are related to smoking susceptibility among a sample of non-smoking elementary school students. The Tobacco Module of the School Health Action, Planning and Evaluation System (SHAPES) was administered to 6,431 students (grades 6 to 8) in 57 elementary schools in the province of Ontario, Canada. Multi-level logistic regression analysis was used to examine how smoking friends, parents, and the prevalence of smoking among grade 8 students at a school were related to smoking susceptibility among the 2,478 non-smoking grade 6 and 7 students. Findings indicate that non-smoking grade 6 and 7 students are more likely to be susceptible to smoking if they have (a) smoking friends, (b) a mother who smokes, or (c) two or more close friends who smoke and attend a school with a relatively high smoking rate among the grade 8 students. Sub-populations of non-smoking youth may be at increased risk for smoking because of the elementary school they attend. Future school-based smoking prevention programs might benefit from targeting prevention programming activities to the schools that are putting students at the greatest risk for smoking.

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Year:  2006        PMID: 16823633     DOI: 10.1007/s11121-006-0049-y

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  21 in total

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Journal:  Nicotine Tob Res       Date:  2003-08       Impact factor: 4.244

4.  Relations between self-generated positive and negative expected smoking outcomes and smoking behavior: an exploratory study among adolescents.

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5.  The role of curiosity in smoking initiation.

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6.  Social modeling in the school environment, student characteristics, and smoking susceptibility: a multi-level analysis.

Authors:  Scott T Leatherdale; K Stephen Brown; Roy Cameron; Paul W McDonald
Journal:  J Adolesc Health       Date:  2005-10       Impact factor: 5.012

7.  The relationship between student smoking in the school environment and smoking onset in elementary school students.

Authors:  Scott T Leatherdale; Steve Manske
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-07       Impact factor: 4.254

8.  Parental influences predict adolescent smoking in the United States, 1989-1993.

Authors:  J M Distefan; E A Gilpin; W S Choi; J P Pierce
Journal:  J Adolesc Health       Date:  1998-06       Impact factor: 5.012

9.  Carcinogenic and endocrine disrupting effects of cigarette smoke and risk of breast cancer.

Authors:  Pierre R Band; Nhu D Le; Raymond Fang; Michèle Deschamps
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10.  Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case-control studies.

Authors:  R Peto; S Darby; H Deo; P Silcocks; E Whitley; R Doll
Journal:  BMJ       Date:  2000-08-05
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  8 in total

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2.  Community-level adult daily smoking prevalence moderates the association between adolescents' cigarette smoking and perceived smoking by friends.

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Journal:  J Youth Adolesc       Date:  2013-11-17

3.  The influence of school policies on smoking prevalence among students in grades 5-9, Canada, 2004-2005.

Authors:  Chris Y Lovato; Allison W Pullman; Peter Halpin; Cornelia Zeisser; Candace I J Nykiforuk; Frankie Best; Alan Diener; Steve Manske
Journal:  Prev Chronic Dis       Date:  2010-10-15       Impact factor: 2.830

4.  Tobacco retailer density surrounding schools and youth smoking behaviour: a multi-level analysis.

Authors:  Wing C Chan; Scott T Leatherdale
Journal:  Tob Induc Dis       Date:  2011-07-27       Impact factor: 2.600

5.  Smoking experimentation among elementary school students in China: influences from peers, families, and the school environment.

Authors:  Cheng Huang; Jeffrey Koplan; Shaohua Yu; Changwei Li; Chaoran Guo; Jing Liu; Hui Li; Michelle Kegler; Pam Redmon; Michael Eriksen
Journal:  PLoS One       Date:  2013-08-22       Impact factor: 3.240

6.  Sociodemographic factors associated with smoking risk perception in adolescents in São Paulo, Brazil.

Authors:  Gabriela A Wagner; Zila M Sanchez; Thiago M Fidalgo; Sheila C Caetano; Hannah Carliner; Silvia S Martins
Journal:  Braz J Psychiatry       Date:  2019 Nov-Dec       Impact factor: 2.697

7.  The role of affective urgency and emotion regulation in vaping susceptibility.

Authors:  Jason Reff; Joseph S Baschnagel
Journal:  Addict Behav Rep       Date:  2021-05-27

8.  The association between senior student tobacco use rate at school and alternative tobacco product use among junior students in Canadian secondary schools.

Authors:  Adam G Cole; Scott T Leatherdale
Journal:  Tob Induc Dis       Date:  2014-05-01       Impact factor: 2.600

  8 in total

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