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Record W4312223610 · doi:10.1111/pde.15230

Perspectives and knowledge of acne vulgaris among young adolescents

2022· article· en· W4312223610 on OpenAlexaff
Jeffrey Toy, Vincent Wan, Dong Goo Lee, Chaocheng Liu, Patrick Fleming, Charles Lynde

Bibliographic record

VenuePediatric Dermatology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsLynde Centre for DermatologyUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsAcneMisinformationMedicineDermatologyFamily medicinePsychological interventionHygienePopulationPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Acne occurs in up to 90% of young adolescents, but prior research has found that this population exhibits a limited understanding of acne and is vulnerable to myths and misinformation accumulated from family members, friends, and social media. We created a virtual presentation on skin hygiene, acne prevention, and acne-associated stigma for adolescent youth (aged 9-13) to improve acne health literacy, which was reviewed by three board-certified dermatologists. A descriptive cross-sectional study using data collected for quality improvement (n = 209, total) revealed that approximately half (n = 102/202, 50.5%) of all students believed that acne could not be treated with medications, only 34.0% (n = 67/197) believed acne could impact their mental health, and most students incorrectly believed that dirt buildup (n = 124/209, 59.3%) and poor hygiene (n = 125/209, 59.8%) were pathogenic for acne. Our results stress the necessity of early evidence-based educational interventions as a cornerstone to breaking self-perpetuating myths and misinformation that may lead to acne mismanagement, delayed access to healthcare, and permanent scarring later in life.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.251
Teacher spread0.245 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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