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Record W4408994522 · doi:10.1186/s40337-025-01234-w

Eating disorders among medical students at a private university in Uganda: a cross-sectional study

2025· article· en· W4408994522 on OpenAlex
Joan Abaatyo, Simeon Opeoluwa Sodeinde, Mark Mohan Kaggwa

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Eating Disorders · 2025
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsEating disordersAffect (linguistics)Psychological interventionPsychologyClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Eating disorders are serious conditions that affect how people think and behave around food, and their body image. This study investigated how common eating disorders are among medical students in Uganda, and the factors linked to their occurance. The findings revealed that 16.6% of medical students showed signs of possible eating disorders based on the SCOFF screening tool. Those at high risk included female sex, individuals with multiple sexual partners, and those experiencing suicidal thoughts. These results highlight the importance of raising awareness about eating disorders in academic settings, particularly in medical institutions, and underscore the need for early identification and targeted interventions. Further research is necessary to explore sociocultural influences on eating disorders in Uganda and other low-resource settings to inform culturally appropriate prevention and treatment strategies.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.347
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it