Evidence map›Paper›PMID 41293196›Full record

ArticleFrontiers in psychiatry2025

The hidden pathways to internalized weight bias: from insecure attachment to depressive self-schemas.

Emanuela Bianciardi, Rossella Mattea Quinto, Ester Longo, Federica De Angelis, Alberto Siracusano, Cinzia Niolu, Giorgio Di Lorenzo

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Emanuela BianciardiChair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Rossella Mattea QuintoPsychiatric and Psychological Unit, Fondazione Policlinico Tor Vergata, Rome, Italy.
Ester LongoChair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Federica De AngelisChair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Alberto SiracusanoChair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Cinzia NioluChair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Giorgio Di LorenzoChair of Psychiatry, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internalized weight bias (IWB) is associated with adverse physical and psychopathological outcomes, yet the cognitive and emotional mechanisms underlying its development in non-clinical populations remain insufficiently understood. This study examined whether attachment insecurity, depressive symptoms, and alexithymia were related to IWB in adults with overweight/obesity, and tested a parallel mediation model of depressive symptoms and alexithymia in the link between attachment insecurity and IWB. Methods: 194 Italian adults (75% female; Mage = 37.6, SD = 14.7; BMI ≥ 25) completed an online survey including self-report measures of IWB, attachment style, depression, alexithymia, eating disorder risk, and body dissatisfaction. Hierarchical regression models were conducted to identify predictors of IWB, followed by mediation analyses (PROCESS Model 4) to test indirect effects. Results: The final regression model explained 74% of the variance in IWB. Significant predictors included body dissatisfaction ( Conclusion: Findings highlighted cognitive depressive symptoms as a central pathway linking insecure attachment to IWB, while suggesting a paradoxical protective role for alexithymic difficulties in emotional expression. We emphasized the importance of considering individual vulnerability factors-particularly relational insecurity and depressive cognitions-in theoretical models of IWB and in the design of targeted clinical interventions.

Indexed as

attachment stylebody image dissatisfactiondepressioneating disorderinternalized weight biasoverweight and obesityself-stigma

Identifiers

PMID41293196
PMCPMC12643465

What Socratic holds

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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.