Literature DB >> 8822401

A meta-analysis of smoking prevention programs after adjustment for errors in the unit of analysis.

B L Rooney1, D M Murray.   

Abstract

This article presents the results of a meta-analysis designed to test the prevailing view that we largely understand why adolescents start to smoke and how to delay it. This view has developed even though none of the major reviews of the last 12 years has adjusted for the important methodological problems that all of those reviews identified as common in the published literature. School-based smoking prevention programs based on peer or social-type programs, published between 1974 and 1991, were included in this meta-analysis. Treatment characteristics were used to predict an effect size after adjustment for study design and population characteristics, and in particular, after a post hoc correction for errors in the original unit of analysis. The results suggest that the average effect for peer or social-type programs is likely to be quite limited in magnitude, and that the reduction in smoking may be only 0.10 standard deviation units, or perhaps 5%. Even under optimal conditions, the reduction in smoking may be only 0.50 to 0.75 standard deviation units, or perhaps 20%-30%.

Mesh:

Year:  1996        PMID: 8822401     DOI: 10.1177/109019819602300104

Source DB:  PubMed          Journal:  Health Educ Q        ISSN: 0195-8402


  36 in total

1.  A randomised controlled trial of a community intervention to prevent adolescent tobacco use.

Authors:  A Biglan; D V Ary; K Smolkowski; T Duncan; C Black
Journal:  Tob Control       Date:  2000-03       Impact factor: 7.552

Review 2.  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 3.  Weight loss and African-American women: a systematic review of the behavioural weight loss intervention literature.

Authors:  M L Fitzgibbon; L M Tussing-Humphreys; J S Porter; I K Martin; A Odoms-Young; L K Sharp
Journal:  Obes Rev       Date:  2011-11-10       Impact factor: 9.213

4.  Prevention of smoking in adolescents with lower education: a school based intervention study.

Authors:  M R Crone; S A Reijneveld; M C Willemsen; F J M van Leerdam; R D Spruijt; R A Hira Sing
Journal:  J Epidemiol Community Health       Date:  2003-09       Impact factor: 3.710

Review 5.  Selection by consequences: one unifying principle for a transdisciplinary science of prevention.

Authors:  Anthony Biglan
Journal:  Prev Sci       Date:  2003-12

6.  CONSORT statement: extension to cluster randomised trials.

Authors:  Marion K Campbell; Diana R Elbourne; Douglas G Altman
Journal:  BMJ       Date:  2004-03-20

7.  Implementation of a smoke-free policy on school premises and tobacco control as a priority among municipal health promotion activities: nationwide survey in Japan.

Authors:  Kazunori Kayaba; Chihiro Wakabayashi; Naoko Kunisawa; Hiromi Shinmura; Hiroshi Yanagawa
Journal:  Am J Public Health       Date:  2005-03       Impact factor: 9.308

8.  Randomized trials on consider this, a tailored, internet-delivered smoking prevention program for adolescents.

Authors:  David B Buller; Ron Borland; W Gill Woodall; John R Hall; Joan M Hines; Patricia Burris-Woodall; Gary R Cutter; Caroline Miller; James Balmford; Randall Starling; Bryan Ax; Laura Saba
Journal:  Health Educ Behav       Date:  2006-11-17

9.  Activating multi-ethnic youth for smoking prevention: design, baseline findings, and implementation of project SPLASH.

Authors:  Karen Glanz; Kevin B Lunde; Tricia Leakey; Jay Maddock; Karin Koga; Jessica Yamauchi; Gertraud Maskarinec; Dorothy Shigaki
Journal:  J Cancer Educ       Date:  2007       Impact factor: 2.037

10.  The effects of community policies to reduce youth access to tobacco.

Authors:  J L Forster; D M Murray; M Wolfson; T M Blaine; A C Wagenaar; D J Hennrikus
Journal:  Am J Public Health       Date:  1998-08       Impact factor: 9.308

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