Evidence map›Paper›PMID 41843745›Full record

ArticleChildhood obesity (Print)2026

Differential Participation: Comparison of Latino and Non-Latino Families in Fitline, a Family-Centered Weight Management Intervention.

Grace W Ryan, Chris Frisard, Sybil Crawford, Michelle Trivedi, Sue Druker, Barbara Olendzki, Jennifer Bram, Alan C Geller, Lori Pbert

Abstract readComparative Study
In one paragraph

Article in Childhood obesity (Print), 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

9 authors.

Grace W RyanDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.ORCID 0000-0002-0354-2644
Chris FrisardDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.
Sybil CrawfordTan Chingfen Graduate School of Nursing, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Michelle TrivediDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.
Sue DrukerDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.
Barbara OlendzkiDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.
Jennifer BramDepartment of Pediatrics, UMass Chan Medical School, Worcester, Massachusetts, USA.
Alan C GellerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Lori PbertDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.

Funding

Pediatric Practice-based Obesity Intervention to Support Families: FITLINER01HL130505 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI PBERT, LORI · 2016 to 2020
$3.9M
NHLBI NIH HHS R01 HL130505
6 · The paper itself

Abstract

Fitline is a pediatric practice-based, family-centered weight management intervention in which families with children aged 8-12 with overweight/obesity receive a brief pediatrician-delivered intervention and 4 hours of telephonic nutrition and lifestyle coaching accompanied by a workbook. We analyzed study tracking records and satisfaction survey data from 243 families, of which 31% (

Indexed as

Hispanic or LatinoPediatric ObesityWeight Reduction ProgramsChildFemaleHumansMalefamily-centered interventionshealth inequitiesLatino healthpediatric obesity

Identifiers

PMID41843745
PMCPMC13002110

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.