ReviewDigital health
Intervention structure and effectiveness in digital health interventions for childhood and adolescent obesity: A scoping review.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital health interventions for childhood and adolescent obesity have shown mixed effectiveness, with prior studies largely focusing on stand-alone mobile-based approaches. Limited attention has been given to how the structural characteristics of interventions influence outcomes. This study aimed to examine the structural characteristics of contemporary digital health interventions, including wearable devices, artificial intelligence, web-based platforms, exergames, and virtual or augmented reality, and to assess how these factors relate to intervention effectiveness. Methods: We conducted a scoping review of digital health interventions beyond stand-alone mobile-based approaches for obesity prevention and management among children and adolescents, following PRISMA-ScR guidelines. Interventions were analyzed using a structured framework across three dimensions: modality, behavioral mechanisms, and integration, along with family engagement and digital role. Results: Of the twenty-three studies included in the review, ten (43.4%) showed significant or partially significant effects. Interventions incorporating exergame-based modalities, behavioral activation, social support, and family engagement showed higher effectiveness. Hybrid-integrated interventions demonstrated greater effectiveness compared to fully digital or parallel approaches. In contrast, interventions using digital components primarily as adjunct tools showed lower effectiveness. Conclusion: The effectiveness of digital health interventions cannot be explained by modality alone but is shaped by how interventions are structured and integrated. Interventions embedded within interconnected digital, social, and care delivery systems appear more effective, highlighting the importance of system-level design in obesity prevention and management. Future digital health interventions should be designed as adaptive, integrated systems that leverage data and coordinated support across family, school, and healthcare contexts to enhance real-world effectiveness.
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