Evidence map›Paper›PMID 42058080›Full record

ArticleFrontiers in public health2026

The muscle dysmorphia-eating disorders link as a public health concern: an epidemiological study of symptom dimensions and social isolation.

Francesco Leonforte, Michelangelo Mercogliano, Vito Nicosia, Manuela Lo Bianco, Roberta Leonardi, Andrea Cavallaro, Martino Ruggieri, Antonio Mistretta

Abstract read
In one paragraph

Article in Frontiers in public health, 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. 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.

Francesco LeonforteDepartment of Integrated Hygiene, Organizational, and Service Activities (Structural Department), Health Management, University Hospital Polyclinic "G. Rodolico - San Marco", Catania, Italy.
Michelangelo MercoglianoNational PhD Programme in One Health Approaches to Infectious Diseases and Life Science Research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
Vito NicosiaDepartment of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.
Manuela Lo BiancoUnit of Pediatric Clinic, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Roberta LeonardiNeonatal Intensive Care Unit, AOU Policlinico G. Rodolico San Marco, Catania, Italy.
Andrea CavallaroDepartment of General Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy.
Martino RuggieriUnit of Pediatric Clinic, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Antonio MistrettaDepartment of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Eating disorders (EDs) represent a growing public health concern among university students, who face critical developmental transitions and increasing pressure from "fitness culture." This study examined the complex relationship between muscle dysmorphia (MD) symptomatology and ED risk, analyzing how specific psychopathological dimensions interact with socio-demographic variables and lifestyles. Methods: A cross-sectional study was conducted on a sample of 2,001 students from University of Catania using a web-based survey. The primary outcome was the risk of disordered eating attitudes, assessed via the Eating Attitudes Test-26 (EAT-26). The main explanatory variable was MD symptomatology, measured using the Muscle Dysmorphia Disorder Inventory (MDDI), analyzed both as a cumulative clinical risk (score >39) and through its specific subscales: Drive for size (DFS), Appearance intolerance (AI), and Functional impairment (FI). Multivariable logistic regression models were fitted to identify independent predictors. Results: The presence of clinical MD symptoms was identified as one of the strongest independent predictors of ED risk (OR = 2.94; 95% CI: 2.03-4.25). A sensitivity analysis on the MDDI subscales revealed divergent pathways: AI (OR = 1.18; 95% CI: 1.14-1.23) and FI (OR = 1.22; 95% CI: 1.17-1.28) were positive drivers of eating risk, whereas DFS showed a significant inverse association (OR = 0.93; 95% CI: 0.89-0.96). Sociodemographic analysis indicated that students aged 18-23, those living alone, and those who preferred not to disclose their gender (OR = 2.07; 95% CI: 1.15-3.73) were at significantly higher risk. Conversely, living with a partner (OR = 0.24; 95% CI: 0.13-0.42) or parents (OR = 0.39; 95% CI: 0.28-0.54) offered robust protection. Regarding lifestyle, intense sports practice was associated with a higher risk of EDs (OR = 1.50; 95% CI: 1.19-1.90). Conclusion: The findings confirm that MD symptomatology acts as a specific "gateway" to disordered eating but highlights a crucial distinction: the risk is driven by body image intolerance and social impairment rather than the ambition for muscle growth itself, which may be protective. These results suggest that university prevention strategies should focus on vulnerable phenotypes-specifically younger students, those socially isolated, and gender minorities-and screen for the distress accompanying fitness goals rather than the athletic discipline itself.

Indexed as

Body Dysmorphic DisordersFeeding and Eating DisordersSocial IsolationAdolescentAdultBody ImageCross-Sectional StudiesFemaleHumansMaleRisk FactorsStudentsSurveys and QuestionnairesUniversitiesYoung AdultEAT-26eating disorderslifestyleMDDImuscle dysmorphiasociodemographic factorsuniversity students

Identifiers

PMID42058080
PMCPMC13121256

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.