Is it couture or a sickness: A narrative review on eating disorder behaviors in fashion models
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BackgroundThe modeling industry idealizes extremely low body mass, which may lead to the development of eating disorders (EDs) in models.AimsThis review examines the impact this has on model body habitus, disordered eating behaviors and ED diagnoses in models, and the mental health of fashion models.MethodsIn February 2023, search terms "fashion models" and "eating disorders" were used on PubMed, EBSCO, Embase, Scopus, Research Gate, Springer Access, Science Gate, and Google Scholar. Published peer-reviewed studies were included. Exclusion criteria included non-English articles, case studies, non-peer-reviewed articles, and non-relevant studies. Nineteen papers were selected and categorized into three subtopics: Physical characteristics of models, unhealthy weight control behaviors in modeling, and ED diagnoses in models.ResultsModels have significantly lower body mass index than controls and many engage in dysfunctional eating. There is mixed evidence on whether models have higher rates of EDs than non-models, though studies show a significantly higher rate of subclinical ED behaviors in models.ConclusionThere is likely an increased risk of subclinical disordered eating behaviors in models. Couture manufacturers need to reflect on how it can protect the health of the professionals who popularize their products.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it