Evidence mapPaperPMID 40688481Full record

ReviewObesity pillars2025

Integrating digital health into pediatric obesity management: Current practices and future perspectives.

Vittoria Frattolillo, Alessia Massa, Dalila Capone, Noemi Monaco, Gianmario Forcina, Pierluigi Di Filippo, Pierluigi Marzuillo, Emanuele Miraglia Del Giudice, Anna Di Sessa

Abstract readReview
In one paragraph

Review in Obesity pillars, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

9 authors.

Vittoria FrattolilloDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Alessia MassaDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Dalila CaponeDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Noemi MonacoDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Gianmario ForcinaDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Pierluigi Di FilippoDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Pierluigi MarzuilloDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Emanuele Miraglia Del GiudiceDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Anna Di SessaDepartment of Woman, Child, and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood obesity is a growing global health concern with significant cardiometabolic consequences. While conventional treatment approaches often fail to achieve sustained outcomes, emerging digital health interventions (DHIs)-including mobile applications, educational video games, wearable devices, telemedicine, and social media-offer innovative tools to support lifestyle modifications and enhance therapeutic adherence. Methods: In this narrative review, we focus on the main evidence regarding the effectiveness of DHIs for pediatric obesity treatment according to target (children vs. children with families) and duration (short- and long-term interventions). We also review their impact on clinical (e.g. body mass index, body composition, etc.), behavioral (physical activity, nutrition, adherence) and psychosocial (motivation, engagement) outcomes. In addition, future trends in the field are also discussed. Results: DHIs demonstrate short-term effectiveness, especially when they incorporate personalization, interactivity, and family involvement. Mobile applications and educational video games boost nutritional literacy and promote healthy behaviours. Wearable devices encourage physical activity awareness, though adherence often varies. Long-term, family-based interventions help reduce dropout rates and reinforce lasting healthy habits. Guided use of social media can facilitate health education but also exposes users to risks such as misinformation and unhealthy food marketing. Despite these advancements, DHIs still face major challenges, including unequal access, data privacy concerns, and a lack of long-term outcome evaluations. Conclusion: The increasing prevalence of pediatric obesity underscores the urgent need for effective and sustainable treatment strategies. DHIs represent a promising, scalable approach for managing childhood obesity, but their long-term sustainability and effectiveness remain to be fully established. Ongoing technological advancements-and their thoughtful integration into existing healthcare frameworks-present significant opportunities to develop innovative, patient-centered therapeutic solutions that can improve engagement, adherence, and long-term health outcomes in children and adolescents with obesity.

Indexed as

Artificial intelligenceDigital health interventionManagementPediatric obesityTreatment

Identifiers

PMID40688481
PMCPMC12274300

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.