Evidence map›Paper›PMID 36482430›Full record

ArticleBMC nutrition2022

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques.

Amber Ronteltap, Andrea J Bukman, Gera E Nagelhout, Roel C J Hermans, Karen Hosper, Annemien Haveman-Nies, Remko Lupker, Catherine A W Bolman

Open access · goldAbstract readScoping Review
In one paragraph

Article in BMC nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  4. Circadian nutrition and obesity: timing as a nutritional strategy.Journal of health, population, and nutrition · 2025
    Review
  5. Analysing the behaviour change techniques in an effective food literacy program to inform future program design.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Amber RonteltapKnowledge Centre Healthy and Sustainable Living, University of Applied Sciences Utrecht, P.O. box 12011, 3501 AA, Utrecht, The Netherlands. amber.ronteltap@hu.nl.
Andrea J BukmanKnowledge Centre Healthy and Sustainable Living, University of Applied Sciences Utrecht, P.O. box 12011, 3501 AA, Utrecht, The Netherlands.
Gera E NagelhoutIVO Research Institute, The Hague, The Netherlands.
Roel C J HermansDepartment of Health Promotion, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Karen HosperPharos, Utrecht, The Netherlands.
Annemien Haveman-NiesConsumption and Healthy Lifestyles Group, Wageningen University & Research, Wageningen, The Netherlands.
Remko LupkerFaculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands.
Catherine A W BolmanFaculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands.
Open University of the Netherlands · NLUniversity of Applied Sciences Utrecht · NLIVO Addiction Research Institute · NLNetherlands Nutrition Centre · NLWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.

Indexed as

Behaviour change technique (BCT)Eating behavioureHealthInterventionScoping reviewSocial class

Identifiers

PMID36482430
PMCPMC9733085
OpenAlexW4311203097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.