Digital and Blended Lifestyle Interventions for Preschool-Aged Children and Families With a Low Socioeconomic Position and the General Population: Scoping Review
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Lea Hohendorf1,2, Tessa Dekkers1, Hanneke Kip1,3
1Health Psychology & Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Drienerlolaan 5, Enschede, Overijssel, 7522 NB, The Netherlands, 49 1708162426.
Insights
Digital lifestyle interventions for young children show mixed results, especially for low socioeconomic groups. More research is needed to understand effective strategies for these families.
Area of Science:
- Public Health
- Digital Health
- Child Development
Background:
- Unhealthy habits in early childhood can lead to long-term health risks, disproportionately affecting children from low socioeconomic positions (SEP).
- Digital and blended lifestyle interventions show promise for promoting healthy habits but often underrepresent low SEP families due to unique barriers.
- Existing research has not clearly identified effective intervention characteristics for low SEP populations.
Purpose of the Study:
- To identify and map digital and blended lifestyle interventions for preschool-aged children.
- To compare intervention characteristics and effectiveness between general and low SEP populations.
- To explore factors influencing intervention success in diverse socioeconomic groups.
Main Methods:
- A comprehensive literature search was conducted across major academic databases (Scopus, Web of Science, Cochrane Library, ERIC, ACM Digital Library).
- Included studies evaluated digital or blended lifestyle interventions for children aged 6 months to 5 years, focusing on nutrition, physical activity, sedentary behavior, sleep, or oral health.
- Artificial intelligence-assisted software (ASReview) supported screening, and data on intervention features, populations, and effectiveness were synthesized descriptively.
Main Results:
- 77 studies (54 interventions) were analyzed; 35 targeted the general population, and 19 focused on low SEP families.
- Interventions for both groups were typically parent-focused, addressed multiple lifestyle domains, and were theory-informed.
- Low SEP interventions more frequently used text messaging, fewer persuasive features, and single delivery channels, with mixed effectiveness outcomes.
Conclusions:
- This review highlights heterogeneity in digital intervention characteristics and outcomes for preschool children across socioeconomic strata.
- There is a need to improve the representation of low SEP families in intervention research and understand contextual fit.
- Future research should focus on multilevel approaches and address limitations in current reporting and study designs.
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.
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