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Record W4380536663 · doi:10.2196/44441

Epidemiology and Perception of Acne Among Adolescents in Jos, Nigeria: Cross-Sectional School-Based Study

2023· article· en· W4380536663 on OpenAlexvenueno aff
Ruth Adah, Hope Yusufu, Queen-Amina Vivian Otene

Bibliographic record

VenueJMIR Dermatology · 2023
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsAcneMedicineCross-sectional studyEpidemiologyStratified samplingPopulationFamily medicineDemographySystematic samplingOdds ratioPediatricsEnvironmental healthDermatologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Adolescents who make up a vast majority of the secondary school population are at a stage at which they are largely affected by acne. This condition, which is widely visible and easily recognized by peers, has numerous misperceptions surrounding it, which may influence attitudes toward people affected by it. There is a paucity of information on the prevalence of acne and how adolescents in Jos, Nigeria, view the condition. OBJECTIVE: This study aimed to determine the prevalence of acne, perceived risk factors, and the accuracy of self-report among adolescents in Jos, Nigeria. The study also sought to understand perceptions surrounding acne in this age group. METHODS: This descriptive cross-sectional study was conducted among adolescents attending private and public secondary schools in Jos, Nigeria. In total, 482 students were recruited through a multistaged stratified random sampling method. A self-administered semistructured questionnaire was used to collect information on history of acne, perceptions of causes, and the attitude toward those who have the condition. All participants were examined for the presence of acne. Univariate, bivariate, and multivariate analysis were conducted using SPSS (version 26; IBM Corp). RESULTS: The self-reported prevalence of acne was 44% and that upon clinical examination was 55%. Self-report showed a moderate degree of agreement with clinical diagnosis (Cohen κ=57.3%; P<.001). Predictive factors for the presence of acne in general were age of ≥15 years (odds ratio [OR] 1.79, 95% CI 1.12-2.87; P=.02), being in a private school (OR 2.17, 95% CI 1.38-3.42; P=.001), and being in a senior secondary class (OR 2.14, 95% CI 1.32-3.47; P=.002). The female gender (OR 3.03, 95% CI 1.64-5.61; P=.001) and religion (OR 3.24, 95% CI 1.27-8.24; P=.02) were predictive for acne only among adolescents aged <15 years, while a positive family history was predictive in those aged ≥15 years (OR 2.04, 95% CI 1.15-3.61; P=.02). A distinct perception and attitude pattern surrounding acne was observed, as a significant proportion (84/131, 64.1% vs 47/131, 35.9%; P=.02) of those who related acne to a biological phenomenon had acne themselves; however, the belief that acne is caused by skin lightening practices was significantly more common in those without acne (19/28, 67.9%) than in those with acne (9/28, 32.1%; P=.01). One-fourth of the adolescents (n=122, 25.3%) had no idea of the possible causes of acne. CONCLUSIONS: Though acne is a prevalent skin condition among Nigerian adolescents, many misperceptions and unfavorable attitudes surround acne and persons affected by the condition. Our findings have revealed the need to work with the school health program to educate the general adolescent population about acne, to refer and manage teenagers with acne.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.030
GPT teacher head0.370
Teacher spread0.340 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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