Evidence map›Paper›PMID 42893557›Full record

ArticleJournal of obesity2026

Psychological Process-Based Profiles in the Binge-Eating Spectrum: Clinical Implications Beyond DSM-5 Subtypes.

Geovanny Genaro Reivan-Ortiz, María Quezada-Gómez, Laura Maraver-Capdevila, Roser Granero

Abstract read
In one paragraph

Article in Journal of obesity, 2026. 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

4 authors.

Geovanny Genaro Reivan-OrtizUniversidad Catolica de Cuenca, Cuenca, Azuay, Ecuador.ORCID https://orcid.org/0000-0003-0643-8022
María Quezada-GómezMinisterio de Salud Publica de Ecuador, Quito, Pichincha, Ecuador.
Laura Maraver-CapdevilaDepartment of Psychobiology and Methodology, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain, uab.cat.
Roser GraneroDepartment of Psychobiology and Methodology, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain, uab.cat.ORCID https://orcid.org/0000-0001-6308-3198

Funding

Institució Catalana de Recerca i Estudis Avançats
6 · The paper itself

Abstract

BACKGROUND AND

objectivesBinge-spectrum eating disorders (BSEDs) are clinically impactful, yet the psychological mechanisms underlying their persistence and heterogeneity remain insufficiently understood. Clarifying these mechanisms is essential for refining diagnostic models and improving treatment. This study focused on young to early-middle adults, a developmental period with elevated risk for the onset and aggravation of BSED, to identify empirical subgroups based on eating- and psychological-related variables.

methodsA two-step cluster analysis was performed in 187 patients (men and women, aged 20-45 years) diagnosed with different BSED subtypes. Variables considered included emotion-related eating behaviors, impulsivity, emotion dysregulation, decision-making, stress, anxiety-depression, and obsessive-compulsive symptoms.

resultsA three-cluster solution provided the best fit, yielding distinct patient profiles. Anxiety-depression and hunger emerged as the most influential variables for the clustering. No significant differences between the clusters were found in sociodemographic characteristics and eating disorder subtype. Clear gradients were observed in clinical severity and psychological functioning, ranging from high psychopathological burden and dysregulation in Cluster 1 (10.2% of the sample) to markedly more adaptive functioning and reduced distress in Cluster 3 (56.7%). The largest between-cluster differences involved hunger, emotion regulation deficits, and anxiety-depression levels.

conclusionsThe findings delineate clinically meaningful BSED subgroups, spanning severely dysregulated to more adaptive profiles. This differentiation may enhance diagnostic classification and inform process-based treatment approaches, enabling personalized interventions targeting core features (particularly anxiety-depression, emotion regulation, and hunger) to optimize clinical outcomes.

Indexed as

Binge-Eating DisorderAdultAnxietyCluster AnalysisClustering AlgorithmsDepressionDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleMiddle AgedYoung Adultbinge-eating disorderbinge-eating spectrumbulimia nervosaclusternight-eating syndrome

Identifiers

PMID42893557
PMCPMC13677137

What OpenQuestion holds

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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.