Evidence map›Paper›PMID 31633313›Full record

Trial reportObesity (Silver Spring, Md.)2019

Baseline Psychosocial and Demographic Factors Associated with Study Attrition and 12-Month Weight Gain in the DIETFITS Trial.

Priya Fielding-Singh, Michele L Patel, Abby C King, Christopher D Gardner

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01826591 (Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?), which is not on this map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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.

NCT01826591 nacompletednot on this map

Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?

TypeinterventionalSponsorStanford UniversityRan2013 to 2016Enrolled609ConditionsObesity, Insulin ResistanceArmsLow-Carbohydrate Diet, Low-Fat Diet, Mobile App
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence of food addiction in children and adolescents: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Pooled it
  3. Food Addiction in Individuals With Overweight and Obesity Undergoing a 12-Week Long Tailored mHealth Weight Loss Intervention.European eating disorders review : the journal of the Eating Disorders Association · 2025
    Trial
  4. Trial
  5. Trial
  6. Eating Behavior Traits and Success in Dietary Changes in Men with Prediabetes - the T2D-GENE Intervention.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Co-occurrence of food addiction, obesity, problematic substance use, and parental history of problematic alcohol use.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  13. Article
  14. Article
  15. Withdrawal: A key consideration in evaluating whether highly processed foods are addictive.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. 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

4 authors.

Priya Fielding-SinghStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-1085-1066
Michele L PatelStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-5307-4861
Abby C KingStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-7596-1530

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?R01DK091831 · NIDDK · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 2012 to 2016
$3.1M
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142NHLBI NIH HHS T32 HL007034NIDDK NIH HHS R01 DK091831NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

objectiveThe purpose of this study was to examine correlates of failure-trial attrition and weight gain-in a randomized clinical weight-loss trial.

methodsThe Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) trial included 609 adults (18-50 years; BMI 28-40). Participants were randomized to a 12-month healthy low-fat or healthy low-carbohydrate diet for weight loss. At baseline, participants completed psychosocial, demographic, and anthropometric measures. Stepwise logistic regressions identified baseline factors associated with (1) study attrition and (2) among trial completers, weight gain at 12 months.

resultsHaving higher baseline food addiction and self-efficacy was linked to treatment failure. Being younger, not having a college education, having higher outcome expectations and quality of life, and having lower social functioning and self-control increased the odds of trial attrition. Identifying as other than non-Hispanic white; not being married or cohabitating; having higher cognitive restraint and self-control; and having lower amotivation, family encouragement, and physical limitations increased the odds of gaining weight by treatment's end.

conclusionsParticipants' baseline psychosocial and demographic factors may support or impede successful weight loss. Trialists should attend to these factors when designing treatments in order to promote participants' likelihood of completing the trial and achieving their weight-loss goals.

Indexed as

AdolescentAdultDemographyFemaleHumansMaleMiddle AgedObesityPsychologyQuality of LifeWeight GainYoung Adult

Identifiers

PMID31633313
PMCPMC6868338

What OpenQuestion holds

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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.