Evidence map›Paper›PMID 42819245›Full record

ArticleFrontiers in physiology2026

Integrating technology-assisted behavioral management into a summer obesity prevention intervention program: a pilot controlled trial.

Qiaoyin Tan, Paul Son, Yuxin Nie, Pengfei Yang, Amanda E Staiano, Fahui Wang, David C Shepherd, Katie Queen, Stewart Gordon, Senlin Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 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

10 authors.

Qiaoyin TanSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.
Paul SonSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.
Yuxin NieSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.
Pengfei YangSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.
Amanda E StaianoPennington Biomedical Research Center, Baton Rouge, LA, United States.
Fahui WangDepartment of Geography, University of Hong Kong, Hong Kong, Hong Kong SAR, China.
David C ShepherdDivision of Computer Science & Engineering, Louisiana State University, Baton Rouge, LA, United States.
Katie QueenOur Lady of the Lake Regional Medical Center, Franciscan Missionaries of Our Lady Health Systems, Baton Rouge, LA, United States.
Stewart GordonPennington Biomedical Research Center, Baton Rouge, LA, United States.
Senlin ChenSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adolescents commonly experience weight gain during summer months due to less structured daily schedules. Objectives: The pilot study aimed to assess (1) acceptability of the AI-assisted Methods: Twenty-five participants (ages 11-14) were allocated to the intervention group (IG; Results: The Conclusions: This pilot study showed that technology-assisted behavioral management had modest acceptability and usage, and the summer intervention made mixed impact on the campers' anthropometric, behavioral, and psychosocial outcomes. Larger future randomized trials are needed to evaluate the efficacy of technology-assisted summer adolescent obesity prevention interventions through longer camp exposure and greater parental engagement.

Indexed as

adolescentsartificial intelligencebehavior changedigital healthphysical activitysummer camp

Identifiers

PMID42819245
PMCPMC13623721

What Socratic holds

Textmetadata
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.