Evidence map›Paper›PMID 33386588›Full record

ArticleEating and weight disorders : EWD2021

Eating expectancies and reinforcement learning: a state-based test of affect regulation and expectancy models in the natural environment.

Lauren M Schaefer, Kathryn E Smith, Robert Dvorak, Ross D Crosby, Stephen A Wonderlich

Abstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Lauren M SchaeferSanford Research, Center for Bio-Behavioral Research, Fargo, ND, USA. Lauren.Schaefer@SanfordHealth.org.ORCID http://orcid.org/0000-0002-9907-7598
Kathryn E SmithSanford Research, Center for Bio-Behavioral Research, Fargo, ND, USA.
Robert DvorakDepartment of Psychology, University of Central Florida, Orlando, FL, USA.
Ross D CrosbySanford Research, Center for Bio-Behavioral Research, Fargo, ND, USA.
Stephen A WonderlichSanford Research, Center for Bio-Behavioral Research, Fargo, ND, USA.

Funding

Regional Postdoctoral Training Grant in Eating Disorders ResearchT32MH082761 · NIMH · UNIVERSITY OF MINNESOTA · PI CAROL B. PETERSON · 2009 to 2026
$6.2M
NIMH NIH HHS T32 MH082761
6 · The paper itself

Abstract

purposeAffect regulation and expectancy-based models suggest that improvement in affect following binge-eating (BE) episodes contributes to increased eating expectancies, which then promote BE maintenance.

methodsThe current pilot study utilized ecological momentary assessment to examine the prospective independent and interactive effects of eating reinforcement experiences [operationalized as reductions in negative affect (NA) following BE episodes] and eating expectancies on subsequent BE behavior among 17 women with recurrent BE.

resultsGreater reductions in momentary NA following a BE episode (i.e., greater reinforcement) predicted higher levels of eating expectancies on the following day. Further, current eating expectancies interacted with proximal reinforcement history to predict future BE episodes. Participants were more likely to report BE episodes on days that were characterized by higher eating expectancies and preceded immediately by a day during which they experienced greater reinforcement from BE.

conclusionThese preliminary results are consistent with affect regulation and expectancy-based models of BE, suggesting a dynamic and potentially modifiable process of reward-based learning associated with BE behavior. LEVEL OF EVIDENCE: Level IV, multiple time series.

Indexed as

Binge-Eating DisorderBulimiaAffectFeeding BehaviorFemaleHumansPilot ProjectsProspective StudiesAffectBinge eatingEating expectancyEMAReward

Identifiers

PMID33386588
PMCPMC8628297

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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.