Evidence map›Paper›PMID 39948770›Full record

Trial reportObesity (Silver Spring, Md.)2025

Pretreatment predictors of weight loss in a 12-month behavioral obesity treatment: a signal detection analysis of DIETFITS.

Michele L Patel, Matthew J Landry, Astrid N Zamora, Priya Fielding-Singh, Abby C King, Christopher D Gardner

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. 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

6 authors.

Michele L PatelStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-5307-4861
Matthew J LandryDepartment of Population Health and Disease Prevention, Joe C. Wen School of Population & Public Health, University of California, Irvine, California, USA.ORCID https://orcid.org/0000-0003-2285-7702
Astrid N ZamoraDepartment of Epidemiology & Population Health, Stanford University School of Medicine, Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-8187-3492
Priya Fielding-SinghSandberg Goldberg Bernthal Family Foundation, Menlo Park, California, USA.ORCID https://orcid.org/0000-0002-1085-1066
Abby C KingStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-7949-8811
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-7596-1530

Funding

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
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI FREDRIC B. KRAEMER · 2017 to 2026
$19.5M
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
Optimizing self-monitoring in a digital health intervention for weight lossK23DK129805 · NIDDK · STANFORD UNIVERSITY · PI Michele Lanpher Patel · 2022 to 2026
$970k
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1TR001085NHLBI NIH HHS K12GM088033NHLBI NIH HHS T32 HL007034NHLBI NIH HHS T32HL007034NIDDK NIH HHS K23 DK129805NIDDK NIH HHS K23DK129805NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK091831NIDDK NIH HHS R01DK091831NIGMS NIH HHS K12 GM088033Nutrition Science Initiative (NuSI)
6 · The paper itself

Abstract

objectiveThe objective of this study was to identify pretreatment predictors of weight loss in a 12-month behavioral obesity treatment that restricted either fat or carbohydrates.

methodsParticipants were 436 adults with overweight or obesity from the Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) trial. Signal detection analysis was used to identify which combinations of 51 pretreatment demographic, clinical, behavioral, and psychosocial variables, along with diet type (healthy low-fat vs. healthy low-carbohydrate), formed subgroups that varied in proportion of those achieving at least 5% weight loss at 12 months.

resultsOverall, 51% of participants achieved at least 5% weight loss at 12 months, with eight subgroups identified through signal detection. Diet type was not a key factor. Among racial and ethnic minority participants, the best predictors of weight loss were lower levels of emotional eating, less friend discouragement, and presence of metabolic syndrome. Among non-Hispanic White participants, the best predictors were high confidence in participating fully in the intervention, more family encouragement, and lower outcome expectations.

conclusionsWe found that psychosocial and clinical factors, along with race and ethnicity, successfully differentiated subgroups that varied in their 12-month weight loss. Given the heterogeneity in response to behavioral obesity treatment, these results can help generate hypotheses to move intervention science toward a precision medicine approach by matching individuals to their most suitable obesity treatments.

Indexed as

Behavior TherapyObesityWeight LossAdultDiet, Carbohydrate-RestrictedDiet, Fat-RestrictedDiet, ReducingFeeding BehaviorFemaleHumansMaleMiddle AgedOverweightTreatment Outcome

Identifiers

PMID39948770
PMCPMC11903172

What OpenQuestion holds

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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.