Evidence map›Paper›PMID 36502287›Full record

Trial reportObesity (Silver Spring, Md.)2023

Real-world effectiveness of the Bright Bodies healthy lifestyle intervention for childhood obesity.

Stephanie L Samuels, Pamela Hu, Kaitlin R Maciejewski, Fangyong Li, James Dziura, Mary Savoye, Mona Sharifi

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Cost-Effectiveness and Long-Term Savings of the Bright Bodies Intervention for Childhood Obesity.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

7 authors at 1 institution in 1 country.

Stephanie L SamuelsSection of Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-0873-9841
Pamela HuSection of Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Kaitlin R MaciejewskiYale University School of Public Health, Yale Center for Analytical Sciences, New Haven, Connecticut, USA.
Fangyong LiYale University School of Public Health, Yale Center for Analytical Sciences, New Haven, Connecticut, USA.
James DziuraYale University School of Public Health, Yale Center for Analytical Sciences, New Haven, Connecticut, USA.
Mary SavoyeSection of Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Mona SharifiSection of General Pediatrics, Department of Pediatrics, Yale Center for Implementation Science, Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-1632-7038
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Dissemination and Implementation of the Bright Bodies Intervention for Childhood ObesityR01HL151603 · NHLBI · YALE UNIVERSITY · PI Mahnoosh Sharifi · 2020 to 2026
$4.7M
Career Development Programs in Diabetes Research for Pediatrics EndocrinologistsK12DK094714 · NIDDK · YALE UNIVERSITY · PI TAMBORLANE, WILLIAM V · 2011 to 2020
$4.3M
NCATS NIH HHS UL1 TR000142NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL151603NIDDK NIH HHS K12 DK094714
6 · The paper itself

Abstract

objectiveThis study aimed to examine the extent to which Bright Bodies, a high-intensity, family-based pediatric weight management intervention, improved BMI for participants since publication of the randomized controlled trial establishing efficacy in 2007 and to describe adaptations to the program.

methodsFor participants enrolled from 2008 to 2018, linear mixed-effects models were used to estimate monthly change in BMI expressed as percentage of the 95th percentile (%BMIp95) during participants' first beginner-level program.

resultsThe sample included 396 youth individuals (mean age: 11.7  [SD 2.8] years, 61.6% female, 37.1% non-Hispanic Black, 26.3% Hispanic or Latino, 53.8% with public insurance, 80.1% with severe obesity). Across the 11 years, participants' %BMIp95 reduced on average by 1.63% (95% CI: 1.44%-1.82%) per month during their first program (mean duration: 10 weeks) after adjusting for age, sex, season and year, starting %BMIp95, race and ethnicity, and insurance category. Greater reduction in %BMIp95 was associated with male versus female sex, spring/fall versus winter seasons, enrollment in 2008 to 2018 versus 2015 to 2018, and higher starting %BMIp95 (p value for all <0.001). Adaptations since 2007 included pragmatic changes to increase engagement and address funding shortages.

conclusionsThese results suggest sustained clinical effectiveness of Bright Bodies in the context of real-world adaptations.

Indexed as

Obesity, MorbidPediatric ObesityAdolescentBlack PeopleBody Mass IndexChildFemaleHumansMaleTreatment Outcome

Identifiers

PMID36502287
PMCPMC9780185
OpenAlexW4312106866

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.