Evidence map›Paper›PMID 39423860›Full record

ArticleAppetite2024

Evaluating the role of binge planning and binge inevitability within affect regulation models of binge eating.

Glen Forester, Lauren M Schaefer, Jeffrey S Johnson, Brianne N Richson, Robert D Dvorak, Ross D Crosby, Carol B Peterson, Stephen A Wonderlich

Abstract read
In one paragraph

Article in Appetite, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Glen ForesterCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, USA. Electronic address: forestergf@gmail.com.
Lauren M SchaeferCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, USA.
Jeffrey S JohnsonCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychology, North Dakota State University, USA.
Brianne N RichsonCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, USA.
Robert D DvorakCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychology, University of Central Florida, USA.
Ross D CrosbyCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, USA.
Carol B PetersonDepartment of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, USA.
Stephen A WonderlichCenter for Biobehavioral Research, Sanford Research, USA; Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, USA.

Funding

The Neurocognitive Reward Learning Mechanisms of Binge EatingP20GM134969 · NIGMS · SANFORD RESEARCH NORTH · PI WONDERLICH, STEPHEN ARTHUR · 2021 to 2025
$11.5M
Regional Postdoctoral Training Grant in Eating Disorders ResearchT32MH082761 · NIMH · UNIVERSITY OF MINNESOTA · PI CAROL B. PETERSON · 2009 to 2026
$6.2M
NIGMS NIH HHS P20 GM134969NIMH NIH HHS T32 MH082761
6 · The paper itself

Abstract

Affect regulation models posit that aversive affective states drive binge-eating behavior, which then regulates negative emotions. However, recent findings among individuals with binge-eating disorder (BED) suggest that food-related anticipatory processes may precede and potentially explain the negative affect thought to drive binge eating. Specifically, studies using ecological momentary assessment (EMA) demonstrate that the negative affective state of "Guilt" (from the Positive and Negative Affect Schedule) most strongly predicts later binge eating in the natural environment, and it has been hypothesized that planning a binge or feeling that a binge-eating episode is inventible may account for the increases in Guilt observed prior to binge episodes. In the present study, we tested the hypothesis that binge planning or inevitability may contribute to feelings of shame (a key facet of the broader Guilt construct), which then predict binge-eating episodes, using EMA in 43 individuals with BED. Consistent with hypotheses, feelings of binge inevitability and planning prospectively predicted binge-eating episodes. Further, binge planning predicted subsequent increases in shame. However, shame did not predict subsequent increases in binge planning. Finally, a mediation model revealed that binge planning (Time 1) predicted future binge eating (Time 3) directly and indirectly through increases in shame (Time 2). The results provide novel evidence that individuals with BED anticipate and actively plan for binge-eating episodes, and that binge planning may explain the increased shame/guilt typically observed before binge eating. Overall, accruing evidence suggests that negative affect, although predictive of binge eating, may be better conceptualized as a consequence of the anticipatory processes that lead to binge eating, rather than the starting point, at least among some individuals with BED. Future experimental research is needed to more conclusively test this hypothesis.

Indexed as

Binge-Eating DisorderBulimiaShameAdultAffectEcological Momentary AssessmentFeeding BehaviorFemaleGuiltHumansMaleMiddle AgedProspective StudiesYoung AdultAffect regulationBinge anticipationBinge-eating disorderBinge inevitabilityBinge planningCravingEating disordersEcological momentary assessmentEMA

Identifiers

PMID39423860
PMCPMC11537815

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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.