Evidence map›Paper›PMID 39089719›Full record

ArticleBMJ open2024

'Let me recommend… ': use of digital nudges or recommender systems for overweight and obesity prevention-a scoping review protocol.

Sarah Forberger, Lucia A Reisch, Peter van Gorp, Christoph Stahl, Lara Christianson, Jihan Halimi, Karina Karolina De Santis, Laurent Malisoux, Tiziana de-Magistris, Torsten Bohn

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
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

10 authors.

Sarah ForbergerLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany forberger@leibniz-bips.de.ORCID 0000-0002-7169-675X
Lucia A ReischCambridge Judge Business School, University of Cambridge, Cambridge, UK.ORCID 0000-0002-5731-4209
Peter van GorpEindhoven University of Technology, Eindhoven, The Netherlands.
Christoph StahlLuxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg.
Lara ChristiansonLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0002-7780-255X
Jihan HalimiInstituto Agroalimentario de Aragón, IA2 (CITA-Universidad de Zaragoza), Zaragoza, Spain.
Karina Karolina De SantisLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-7647-6767
Laurent MalisouxLuxembourg Institute of Health, Strassen, Luxembourg.ORCID 0000-0002-6601-5630
Tiziana de-MagistrisInstituto Agroalimentario de Aragón, IA2 (CITA-Universidad de Zaragoza), Zaragoza, Spain.
Torsten BohnLuxembourg Institute of Health, Strassen, Luxembourg.ORCID 0000-0002-7825-0697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecommender systems, digital tools providing recommendations, and digital nudges increasingly affect our lives. The combination of digital nudges and recommender systems is very attractive for its application in preventing overweight and obesity. However, linking recommender systems with personalised digital nudges has a potential yet to be fully exploited. Therefore, this study aims to conduct a scoping review to identify which digital nudges or recommender systems or their combinations have been used in obesity prevention and to map these systems according to the target population, health behaviour, system classification (eg, mechanisms for developing recommendations, delivery channels, personalisation, interconnection, used combination), and system implementation. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guideline was used to inform protocol development. The eligibility criteria are based on the PCC framework (Population: any human; Concept: recommender systems or digital nudges; Context: obesity prevention). MEDLINE, PsycINFO, Web of Science, CINHAL, Scopus, ACM Digital Library and IEEE Xplore were searched until September 2023. Primary studies with any design published in peer-reviewed academic journals and peer-reviewed conference papers will be included. Data will be extracted into a pre-developed extraction sheet. Results will be synthesised descriptively and narratively. ETHICS AND DISSEMINATION: No ethical approval is required for the scoping review, as data will be obtained from publicly available sources. The results of this scoping review will be published in a peer-reviewed journal, presented at conferences and used to inform the co-creation process and intervention adaptation in the context of a HealthyW8 project (www.healthyw8.eu).

Indexed as

ObesityOverweightHealth BehaviorHealth PromotionHumansResearch DesignScoping Reviews as TopicNUTRITION & DIETETICSObesityOverweight

Identifiers

PMID39089719
PMCPMC11293388

What OpenQuestion holds

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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.