Evidence map›Paper›PMID 42352794›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Shaped by the Industry: Female Fashion Models' Perceptions of Aesthetic Labour, Body Governance and Disordered Eating.

Alison Fixsen, Reka Nagy, Magdalena Bailey

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Alison FixsenSchool of Social Sciences, University of Westminster, 115, New Cavendish St., London W1W 6UW, UK.
Reka NagySchool of Social Sciences, University of Westminster, 115, New Cavendish St., London W1W 6UW, UK.
Magdalena BaileySchool of Social Sciences, University of Westminster, 115, New Cavendish St., London W1W 6UW, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Female fashion models face intense bodily surveillance within a competitive and largely unregulated industry. While many young recruits endure the industry's initial demands, less is known about how these formative experiences are later interpreted. Grounded in feminist and phenomenological perspectives, this article presents an inductive analysis of 18 semi-structured interviews with female models aged 25+, exploring entry into modelling, socialization into industry norms, and longer-term effects on body image, eating attitudes, and embodied practices. Five interconnected themes were identified: growing up "superfast"; learning to eat less; being treated as a product; boundary violations as a darker side of modelling; and building resilience within a callous industry. Early immersion in modelling culture shaped psychological development, with self-worth becoming closely tied to conformity with a narrowly defined thin ideal. Aesthetic labour extended beyond paid work to continuous bodily regulation and self-surveillance, producing a persistent tension between the lived, sensing body (Leib) and the body as an object for evaluation (Körper). Disordered eating emerged as a normalised employment strategy. While maturity could soften this process, participants described ongoing attempts to reconcile bodily needs with external judgements. The fashion industry thus emerges as a concentrated site of objectification, with enduring consequences for embodied wellbeing.

Indexed as

aesthetic labourbody surveillanceeating disordersfashion industrymodelsobjectification

Identifiers

PMID42352794
PMCPMC13296097

What OpenQuestion holds

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LicenceCC BY
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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.