Evidence map›Paper›PMID 37284471›Full record

ArticleFrontiers in psychology2023

Positive affect dysregulation and its relation to binge eating size and frequency.

Rebecca L Flynn, Thomas A Massion, Jacqueline A Kosmas, Shannon R Smith, Carli N Mastronardi, Andrea K Graham

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rebecca L FlynnCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Thomas A MassionCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Jacqueline A KosmasCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Shannon R SmithCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Carli N MastronardiCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Andrea K GrahamCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Negative affect is an established predictor of binge eating, yet less is known about positive affect. Low positive affect has been theorized to increase binge eating, but a better understanding is needed on the relationship between positive affect and binge eating frequency and size. Participants were 182 treatment-seeking adults (76% self-identified as female; 45% self-identified their race as Black and 40% as White; and 25% self-identified their ethnicity as Hispanic/Latino) with self-reported recurrent binge eating (≥12 binge episodes in the past 3  months). Participants completed the positive and negative affect schedule (PANAS) survey and the eating disorder examination to assess frequency of objective binge episodes (OBEs) and subjective binge episodes (SBEs) over the past 3  months. OBEs and SBEs also were combined to yield total binge episodes over the past 3  months. Independent

Indexed as

binge eatingnegative affectobjective binge eatingpositive affectsocio-demographic variablessubjective binge eating

Identifiers

PMID37284471
PMCPMC10239925

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.