Evidence map›Paper›PMID 25641770›Full record

SynthesisPediatric obesity2015

Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review.

T Turner, D Spruijt-Metz, C K F Wen, M D Hingle

Registry-linked trialOpen access · bronzeAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Pediatric obesity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02955017 (Use of New Technologies for the Follow-up in Adolescent Obesity), which is not on this map. Cited by 87 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 15 pooled it
39.0field-weighted citation impact, top 1% of its field
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.

NCT02955017 nacompletednot on this mapstarted 2016, after this paper: background citation

Use of New Technologies for the Follow-up in Adolescent Obesity

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2016 to 2019Enrolled91ConditionsObesityArmstraditional follow_up, distance follow-up "new technologies"
3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 15 syntheses or guidelines pooled it, 191 citations in OpenAlex.

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27 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

T TurnerDepartment of Nutritional Sciences, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ, USA.
D Spruijt-MetzCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-3884-4300
C K F WenKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
M D HingleDepartment of Nutritional Sciences, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ, USA.
University of Arizona · USUniversity of Southern California · US

Funding

Guided imagery lifestyle intervention to prevent & treat obesity in Latino youthR01AT008330 · NCCIH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WEIGENSBERG, MARC J · 2013 to 2017
$3.4M
Virtual Sprouts: Web-based Gardening Games to Teach Nutrition and Combat ObesityR25RR032159 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LANE, H. CHAD, RAGUSA, GISELE · 2011 to 2011
$258k
NCCIH NIH HHS R01 AT008330NCCIH NIH HHS R01AT008330NCRR NIH HHS 1R25RR032159NCRR NIH HHS R25 RR032159
6 · The paper itself

Abstract

Mobile health (mHealth) is a relatively nascent field, with a variety of technologies being explored and developed. Because of the explosive growth in this field, it is of interest to examine the design, development and efficacy of various interventions as research becomes available. This systematic review examines current use of mHealth technologies in the prevention or treatment of pediatric obesity to catalogue the types of technologies utilized and the impact of mHealth to improve obesity-related outcomes in youth. Of the 4021 articles that were identified, 41 articles met inclusion criteria. Seventeen intervention studies incorporated mHealth as the primary or supplementary treatment. The remaining articles were in the beginning stages of research development and most often described moderate-to-high usability, feasibility and acceptability. Although few effects were observed on outcomes such as body mass index, increases in physical activity, self-reported breakfast and fruit and vegetable consumption, adherence to treatment, and self-monitoring were observed. Findings from this review suggest that mHealth approaches are feasible and acceptable tools in the prevention and treatment of pediatric obesity. The large heterogeneity in research designs highlights the need for more agile scientific processes that can keep up with the speed of technology development.

Indexed as

Body Mass IndexCell PhoneChildHumansPediatric ObesityTelemedicineWireless TechnologyMHealthmobile healthobesitypediatric obesity

Identifiers

PMID25641770
PMCPMC4499498
OpenAlexW1927477418

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.