Evidence map›Paper›PMID 41602000›Full record

ArticleFrontiers in public health2025

Volume addiction: introducing a novel phenotype within compulsive high volume eating.

Vera I Tarman

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

1 author.

Vera I TarmanUniversity of Toronto Temerty Faculty of Medicine, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most accounts of disordered eating and food addiction focus on hedonic, calorie-dense intake. However, many patients describe an urgent drive to feel profoundly full, sometimes achieved through enormous volumes of low-calorie foods or fluids. This presentation centers on amount rather than food type, and differs from binge eating disorder's 2-h consumption criterion. Current diagnostic systems (DSM, ICD) do not recognize this volume-seeking presentation, and scientific literature rarely treats gastric volume as a primary reinforcer. Water-load studies show individuals with bulimia nervosa and binge-eating disorder consume substantially greater volumes before reporting satiation and display abnormal gastric myoelectrical activity compared to controls. Animal studies demonstrate that gastric stretch receptors and vagal responses are plastic and can alter satiety and intake. Gut hormones, such as ghrelin, leptin, insulin, and GLP-1s, and their interactions with reward circuitry link visceral signals to feeding behavior. Neuroimaging studies reveal altered reward responses to food cues and volume. Together, these findings suggest volume itself is a meaningful, measurable dimension warranting clinical and scientific attention. This article synthesizes these strands to propose compulsive high-volume eating (CHVE) as a distinct construct, defined by recurrent, distressing episodes where gastric distension serves as the central motivator. Within CHVE, I propose a "volume-addiction" subtype characterized by craving, tolerance, and loss of control focused on fullness. While current evidence is indirect, sufficient data exists to justify identification and study of this phenotype to target research and develop more effective treatments for food-addicted individuals who struggle specifically with volume intake.

Indexed as

Compulsive BehaviorFeeding BehaviorFood AddictionPortion SizeSatiationCravingHumansPhenotypebinge eating disordercompulsive high volume eatingeating addictioneating disorderfood addictionultra-processed food addictionvolume addiction

Identifiers

PMID41602000
PMCPMC12833246

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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.