Evidence mapPaperPMID 41938726Full record

ReviewDigital health

Digital health interventions for childhood obesity: An umbrella review.

Edlin Glane Mathias, Siva N, Elstin Anburaj S, Vaishnavi Naik, Baby S Nayak

Abstract readReview
In one paragraph

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.

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.

Edlin Glane MathiasDepartment of Health Technology and Informatics, Prasanna School of Public Health, Manipal Academy of Higher Education, MAHE, Udupi district, Karnataka, India.ORCID https://orcid.org/0000-0002-1523-3064
Siva NDepartment of Child Health Nursing, SUM Nursing College, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India.
Elstin Anburaj SCentre for Evidence-informed Decision making, Prasanna School of Public Health, Manipal Academy of Higher Education, MAHE, Manipal, Udupi district, Karnataka, India.ORCID https://orcid.org/0000-0002-6511-6982
Vaishnavi NaikCentre for Evidence-informed Decision making, Prasanna School of Public Health, Manipal Academy of Higher Education, MAHE, Manipal, Udupi district, Karnataka, India.
Baby S NayakDepartment of Child Health Nursing, Manipal College of Nursing, Manipal Academy of Higher Education, MAHE, Udupi district, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Childhood obesity has become a critical global health issue, raising concerns for public health systems. Early intervention is essential to curb its long-term impact. Objective: This umbrella review aims to assess the effectiveness of digital health interventions in controlling and managing obesity among children and adolescents. Methods: Following Cochrane methodology, comprehensive searches were conducted in PubMed, CINAHL, Cochrane Library, Web of Science, Embase, and ProQuest Health and Medical Library, EPISTEMONIKOS, and the Joanna Briggs Institute Database. Eligible reviews included studies targeting individuals aged ≤18 years children who were overweight or obese based on BMI-for-age percentiles or Results: Out of 242 records screened, 27 systematic reviews were included. Ten reviews examined mHealth interventions, four explored eHealth or web-based strategies, while others focused on telehealth, wearable devices, or multicomponent approaches. A combination of mobile and SMS-based tools consistently demonstrated greater potential in supporting BMI reduction and promoting behavioral change. Conclusion: Mobile and SMS-based digital interventions show promise in managing childhood obesity. Their integration into public health strategies could enhance the effectiveness of weight management efforts among children and adolescents.

Indexed as

behavior changeBMIChildhood obesitydigital healtheHealthmHealthpublic health

Identifiers

PMID41938726
PMCPMC13049355

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.