Evidence map›Paper›PMID 24568652›Full record

ArticleChildhood obesity (Print)2014

The feasibility of a physical activity referral network for pediatric obesity.

Kristine Madsen, Andrea Garber, Maria Martin, Michael Gonzaga, Jennifer Linchey

Abstract readEvaluation Study
In one paragraph

Article in Childhood obesity (Print), 2014. 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

5 authors.

Kristine Madsen1 School of Public Health, University of California Berkeley , Berkeley, CA.
Andrea Garber
Maria Martin
Michael Gonzaga
Jennifer Linchey

Funding

Reducing pediatric obesity through after-school programsK23HD054470 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MADSEN, KRISTINE A · 2007 to 2011
$621k
NICHD NIH HHS K23HD054470
6 · The paper itself

Abstract

backgroundPediatricians cite a lack of physical activity referral (PAR) opportunities as a major barrier to treating obesity. However, no literature exists on PARs for youth in the clinical setting. This study explores the feasibility of implementing PARs in a pediatric obesity clinic.

methodsPatients ages 6-18 years in an obesity clinic from July 2010 to October 2011 were referred to PARs in their community. Researchers confirmed enrollment and participation in activities by follow-up phone calls.

resultsOf 130 eligible youth, 102 (78%) agreed to be referred to a physical activity program; 45 (35%) enrolled and 35 (27%) reported actually participating in an activity, for an average of 1.4 hours per week. Youth participated in 9 of 69 available activity programs included in the PAR network. Patient characteristics at baseline did not predict participation in an activity. Youth referred to organizations that contacted interested families were 5 times as likely to enroll in activities as youth referred to organizations that did not contact families (p < 0.001).

conclusionAlthough only 27% of eligible youth participated in an activity through the PAR network, exposing 1 in 4 obese youth to 1.4 hours of physical activity weekly could have a significant public health impact. These results suggest that PAR networks for overweight and obese youth should focus on organizations that have the infrastructure to contact youth and their families, and that a small number of physical activity programs could form the basis for launching PAR networks.

Indexed as

ExercisePublic HealthReferral and ConsultationAdolescentBody Mass IndexChildFeasibility StudiesFemaleHumansMalePediatric ObesityRetrospective Studies

Identifiers

PMID24568652
PMCPMC3991990

What OpenQuestion holds

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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 OpenQuestion graph.