Evidence mapPaperPMID 42247646Full record

ArticleJournal of medical Internet research2026

Digital and Blended Lifestyle Interventions for Preschool-Aged Children and Families With a Low Socioeconomic Position and the General Population: Scoping Review.

Lea Hohendorf, Tessa Dekkers, Hanneke Kip, Laurence Alpay, Saskia M Kelders

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lea HohendorfHealth Psychology & Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Drienerlolaan 5, Enschede, Overijssel, 7522 NB, The Netherlands, 49 1708162426.ORCID http://orcid.org/0009-0000-3738-6320
Tessa DekkersHealth Psychology & Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Drienerlolaan 5, Enschede, Overijssel, 7522 NB, The Netherlands, 49 1708162426.ORCID http://orcid.org/0000-0003-2787-3293
Hanneke KipHealth Psychology & Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Drienerlolaan 5, Enschede, Overijssel, 7522 NB, The Netherlands, 49 1708162426.ORCID http://orcid.org/0000-0002-6661-2128
Laurence AlpayMedical Technology Research Group, Faculty of Healthcare, Sport & Well-being, Inholland University of Applied Sciences, Haarlem, The Netherlands.ORCID http://orcid.org/0000-0002-8243-0607
Saskia M KeldersHealth Psychology & Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Drienerlolaan 5, Enschede, Overijssel, 7522 NB, The Netherlands, 49 1708162426.ORCID http://orcid.org/0000-0001-8949-6871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many unhealthy habits develop in early childhood and can lead to long-term health risks, which disproportionately affect children with low socioeconomic position (SEP). Digital and blended lifestyle interventions can promote healthier lifestyles, yet families with lower SEP remain underrepresented and face unique barriers to healthy behaviors and intervention access. As a result, it remains unclear which intervention characteristics are most effective for these populations. Objective: This study aimed to identify and map digital and blended lifestyle interventions targeting preschool-aged children and explore how intervention characteristics and reported effectiveness patterns differ between interventions for the general population and low SEP families. Methods: A search across Scopus, Web of Science, Cochrane Library, ERIC, and ACM Digital Library was conducted. Studies were eligible if they (1) targeted preschool-aged children (6 months to 5 years) or caregivers, (2) evaluated a digital or blended lifestyle intervention, and (3) addressed at least one behavioral domain (nutrition, physical activity, sedentary behavior, sleep, and oral health). Studies focusing on pregnant women, children aged >5 years, or interventions delivered solely nondigitally were excluded. Screening and prioritization were supported by artificial intelligence-assisted software (ASReview; Utrecht University). Data covered intervention targets, populations, theoretical and guideline foundations, delivery modes and settings, and persuasive systems design features. Intervention characteristics and effectiveness categories were synthesized descriptively. The methodological quality of quasi-experimental studies was assessed using the Joanna Briggs Institute critical appraisal tools. Results: A total of 77 studies describing 54 interventions were included. Of these, 35 targeted the general population, and 19 focused solely on low SEP families. Interventions were similar across groups: typically parent-focused, targeting multiple lifestyle domains, and informed by theories, frameworks, or evidence-based guidelines. Low SEP interventions more often used text messaging, included fewer persuasive design features, and tended toward single delivery channels. Effectiveness findings were mixed; no consistent patterns emerged when interventions were grouped by their characteristics. Among low SEP interventions only, less effective interventions more often targeted multiple behaviors and included more persuasive systems design features. Conclusions: To our knowledge, this is one of the first reviews to map digital and blended lifestyle interventions for preschool-aged children while comparing intervention characteristics and descriptive effectiveness patterns across general and low SEP populations. The review highlights heterogeneity in intervention characteristics and outcomes and identifies gaps where evidence is limited. These findings underscore the need to better represent low SEP families in intervention research, strengthen understanding of feasibility and contextual fit, and support multilevel approaches that reflect families' everyday contexts. However, the findings should be interpreted in light of several limitations, including the exclusion of gray literature, partial double-screening, the possibility that artificial intelligence-assisted prioritization may have omitted relevant studies, and variation in the reporting of intervention components across studies.

Indexed as

Health PromotionLife StyleChild, PreschoolDigital HealthDigital MediaHumansInfantLow Socioeconomic Statusdigital health interventionseffectivenesseHealthhealth behaviorsintervention characteristicsintervention evaluationlifestyle interventionslow socioeconomic positionpersuasive systems designpreschool-aged children

Identifiers

PMID42247646
PMCPMC13240985

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.