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Published on: May 8, 2018
Computer-tailored dietary behaviour change interventions: a systematic review.
Leonie M Neville1, Blythe O'Hara, Andrew J Milat
1Centre for Health Advancement, New South Wales Department of Health, 73 Miller Street, North Sydney New South Wales 2060, Australia. neville_leonie@bigpond.com
Health Education Research
|March 17, 2009
Summary
Second-generation computer-tailored interventions show promise for improving dietary behaviors like increasing fruit and vegetable intake. While short-term effectiveness is evident, long-term generalizability and sustainability require further investigation.
Area of Science:
- Public Health
- Behavioral Science
- Health Informatics
Background:
- Dietary behavior change, including increased fruit/vegetable consumption and reduced saturated fat intake, is crucial for health promotion.
- Computer tailoring has emerged as a promising strategy for facilitating these dietary behavior changes.
Purpose of the Study:
- To systematically review evidence on second-generation computer-tailored primary prevention interventions for dietary behavior change.
- To assess the effectiveness and identify key success factors of these interventions.
Main Methods:
- A narrative systematic review of randomized controlled trials and quasi-experimental studies published between January 1996 and 2008.
- Searches conducted across five major databases (Medline, Embase, PsycINFO, CINAHL, All EBM Reviews) and reference lists.
- Inclusion criteria required pre-test and post-test behavioral outcome data.
Main Results:
- 13 articles evaluating 12 distinct interventions were reviewed.
- Seven interventions demonstrated significant positive effects on dietary behavior outcomes.
- One intervention also reported positive effects on weight reduction outcomes.
Conclusions:
- Computer-tailored dietary interventions show strong short-term efficacy for behavior change.
- Uncertainty remains regarding the long-term generalizability and sustainability of these effects.
- Further research is needed to address limitations in current evidence.
