Evidence map›Paper›PMID 29956495›Full record

Trial reportObesity (Silver Spring, Md.)2018

Weight and Shape Concern Impacts Weight Gain Prevention in the SNAP Trial: Implications for Tailoring Intervention Delivery.

KayLoni L Olson, Rebecca H Neiberg, Deborah F Tate, Katelyn R Garcia, Amy A Gorin, Cora E Lewis, Jessica Unick, Rena R Wing

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Who loses weight in a weight gain prevention program? A comparison of weight losers and weight maintainers at 3 years.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021
    Trial
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

KayLoni L OlsonThe Miriam Hospital, Alpert Medical School, Brown University, Providence, Rhode Island, USA.ORCID 0000-0001-7946-9570
Rebecca H NeibergDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Deborah F TateDepartment of Health Behavior, University of North Carolina, Chapel Hill, North Carolina, USA.
Katelyn R GarciaDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Amy A GorinInstitute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, Connecticut, USA.ORCID 0000-0002-1033-7163
Cora E LewisDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Jessica UnickThe Miriam Hospital, Alpert Medical School, Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-6807-9515
Rena R WingThe Miriam Hospital, Alpert Medical School, Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-0918-8252
Brown University · USWake Forest University · USUniversity of Alabama at Birmingham · USUniversity of Connecticut · USUniversity of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Prevention of Weight Gain in Young AdultsU01HL090864 · NHLBI · MIRIAM HOSPITAL · PI WING, RENA R · 2009 to 2014
$5.8M
Training in Behavioral & Preventive MedicineT32HL076134 · NHLBI · MIRIAM HOSPITAL · PI John Graham Thomas · 2006 to 2026
$5.7M
Prevention of Weight Gain in Young AdultsU01HL090875 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ESPELAND, MARK ANDREW · 2009 to 2014
$2.0M
NHLBI NIH HHS T32 HL076134NHLBI NIH HHS U01 HL090864NHLBI NIH HHS U01 HL090875NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

objectiveThe Study of Novel Approaches to Weight Gain Prevention (SNAP) trial demonstrated that two self-regulatory interventions prevented weight gain in young adults. Weight and shape concern (WSC) at baseline was evaluated as a moderator of weight outcomes at 24 months.

methodsYoung adults (n = 599) were randomized to self-regulation with small changes (to create 200 kcal/day deficit), self-regulation with large changes (to facilitate preemptive weight loss of 5-10 lb), or self-guided control. WSC was assessed by using one item from the Eating Disorders Assessment. ANOVA was used to examine whether the association between baseline level of WSC and percent weight change over 24 months differed across treatment conditions.

resultsApproximately 22% of participants reported high WSC (37% moderate; 41% low). WSC and treatment condition interacted to influence weight change at 24 months (P = 0.03). Individuals with high WSC gained weight in the large changes group (WSC least squares means ± SE, high: + 0.73% ± 1.19%; moderate: -2.74% ± 0.84%; low: -2.41% ± 0.79%). The small changes condition was particularly effective for those with high WSC (high WSC: -2.49% ± 1.16%; moderate: -0.60% ± 0.88%; low: -0.71% ± 0.80%). WSC did not impact weight change among control participants.

conclusionsIndividuals with high WSC may benefit from a small-changes approach to weight gain prevention. These findings indicate WSC may be used to match individuals to weight gain prevention treatment conditions.

Indexed as

Self CareSelf-ControlAdolescentAdultBody SizeBody WeightDietExerciseFemaleHumansLife StyleMaleObesityOverweightSomatotypesWeight Gain

Identifiers

PMID29956495
PMCPMC6437682
OpenAlexW2810399464

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.