Evidence map›Paper›PMID 39830387›Full record

ArticleTranslational journal of the American College of Sports Medicine2024

Randomized Clinical Trial to Increase Self-Monitoring of Physical Activity and Eating Behaviors in Youth: A Feasibility Study.

Rahma Ajja, Joseph A Skelton, Alexandra G Peluso, Camelia R Singletary, Gail M Cohen, Gabrielle Turner-Mcgrievy, Edward Ip, David Miller, Justin B Moore

Abstract read
In one paragraph

Article in Translational journal of the American College of Sports Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Rahma AjjaDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston Salem, NC.
Joseph A SkeltonDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC.
Alexandra G PelusoDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston Salem, NC.
Camelia R SingletaryDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston Salem, NC.
Gail M CohenDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC.
Gabrielle Turner-McgrievyDepartment of Health Promotion, Education & Behavior, Arold School of Public Health, University of South Carolina, Columbia, SC.
Edward IpDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.
David MillerDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston Salem, NC.
Justin B MooreDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston Salem, NC.

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
IMPACT: Increased Monitoring of Physical Activity and Calories with TechnologyR34DK119815 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MOORE, JUSTIN BRIAN · 2019 to 2020
$476k
NCATS NIH HHS UL1 TR001420NIDDK NIH HHS R34 DK119815
6 · The paper itself

Abstract

Introduction: Mobile health (mHealth) has the potential to reduce reliance on in-person healthcare visits, making monitoring of health, eating, and physical activity less burdensome. There is a great need to develop and test mHealth tools for pediatric weight loss programs to enhance clinical practice. This study aimed to test the feasibility of utilizing a tailored suite of mHealth components to augment an existing evidence-based in-person pediatric weight management program. Method: Using a two-group randomized superiority trial design, participants who completed baseline measurement were randomized to Brenner Families in Training (Brenner FIT) or Brenner FIT + mHealth (Brenner Results: Overall, 173 dyads were eligible for enrollment based on inclusion criteria. Twenty-five dyads consented to participate. Sixteen dyads completed baseline psychosocial questionnaires, eight dyads completed at least two 24-hour dietary recalls, and 20 (youth) participants returned accelerometers. Of the 14 dyads who completed enrollment, 7 dyads were each randomized into the intervention and control groups, with 10 and 5 dyads retained at three and six months, respectively. A total of four caregivers and two youth who utilized the website for goal setting set at least one goal, all seven youth linked their activity tracker, and most downloaded at least one video (two youth) or podcast (six caregivers). Conclusions: Our results suggest that the assessment protocol was overly burdensome, the intervention had low acceptability, and the study as designed was not feasible to complete. Future studies should evaluate barriers and facilitators to the uptake of mHealth.

Indexed as

familymobile healthobesityyouth

Identifiers

PMID39830387
PMCPMC11741509

What OpenQuestion holds

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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 OpenQuestion graph.