Literature DB >> 15701665

Working mechanisms of computer-tailored health education: evidence from smoking cessation.

Arie Dijkstra1.   

Abstract

To further develop tailored interventions, their working mechanisms must be identified. In the present study, three tailored messages that each contained one potential working mechanism--personalization, adaptation or feedback--were compared with a standard information condition. Two hundred and two students who smoked tobacco daily were randomly divided over four conditions. After the computer pre-test questionnaire, they read the information in their condition and filled in the immediate post-test. After 4 months, they were sent a follow-up questionnaire assessing their quitting activity. The data show that personalization (44.5%) and feedback (48.7%), but not adaptation (28.6%), led to significantly more quitting activity after 4 months than did the standard information (22.9%). Moreover, the effect of condition on quitting activity was completely mediated by individuals' evaluations of the tailoring.

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Mesh:

Year:  2005        PMID: 15701665     DOI: 10.1093/her/cyh014

Source DB:  PubMed          Journal:  Health Educ Res        ISSN: 0268-1153


  56 in total

1.  Understanding tailoring in communicating about health.

Authors:  Robert P Hawkins; Matthew Kreuter; Kenneth Resnicow; Martin Fishbein; Arie Dijkstra
Journal:  Health Educ Res       Date:  2008-03-17

2.  Electronic feedback messages for home spirometry lung transplant recipients.

Authors:  Sarah J Pangarakis; Kathleen Harrington; Ruth Lindquist; Cynthia Peden-McAlpine; Stanley Finkelstein
Journal:  Heart Lung       Date:  2008 Jul-Aug       Impact factor: 2.210

Review 3.  Mechanisms of change associated with technology-based interventions for substance use.

Authors:  Jesse Dallery; Brantley Jarvis; Lisa Marsch; Haiyi Xie
Journal:  Drug Alcohol Depend       Date:  2015-03-12       Impact factor: 4.492

4.  Methodologic and design issues in patient-centered e-health research.

Authors:  Ken Resnicow; Victor Strecher; Mick Couper; Hannah Chua; Roderick Little; Vijay Nair; Thad A Polk; Audie A Atienza
Journal:  Am J Prev Med       Date:  2010-01       Impact factor: 5.043

5.  A meta-analysis of computer-tailored interventions for health behavior change.

Authors:  Paul Krebs; James O Prochaska; Joseph S Rossi
Journal:  Prev Med       Date:  2010-06-15       Impact factor: 4.018

6.  Using SMS text messaging to assess moderators of smoking reduction: Validating a new tool for ecological measurement of health behaviors.

Authors:  Elliot T Berkman; Janna Dickenson; Emily B Falk; Matthew D Lieberman
Journal:  Health Psychol       Date:  2011-03       Impact factor: 4.267

7.  Effects of program exposure and engagement with tailored prevention communication on sun protection by young adolescents.

Authors:  Kim D Reynolds; David B Buller; Amy L Yaroch; Julie Maloy; Cristy R Geno; Gary R Cutter
Journal:  J Health Commun       Date:  2008 Oct-Nov

8.  Novel methods to collect meaningful data from adolescents for the development of health interventions.

Authors:  Kimberly Hieftje; Lindsay R Duncan; Lynn E Fiellin
Journal:  Health Promot Pract       Date:  2014-02-11

9.  Neural correlates of message tailoring and self-relatedness in smoking cessation programming.

Authors:  Hannah Faye Chua; Israel Liberzon; Robert C Welsh; Victor J Strecher
Journal:  Biol Psychiatry       Date:  2008-10-16       Impact factor: 13.382

10.  Adherence in Internet-based interventions.

Authors:  Silje C Wangberg; Trine S Bergmo; Jan-Are K Johnsen
Journal:  Patient Prefer Adherence       Date:  2008-02-02       Impact factor: 2.711

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