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Record W3117588301 · doi:10.1177/0044118x20981387

Condom Use and HIV/AIDS Among Young People in Edo State, Nigeria

2020· article· en· W3117588301 on OpenAlexafffund
Eric Y. Tenkorang

Bibliographic record

VenueYouth & Society · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsMemorial University of Newfoundland
FundersCanadian Institutes of Health ResearchInternational Development Research Centre
KeywordsCondomOddsDemographyHuman immunodeficiency virus (HIV)Developing countryMedicineLogistic regressionPsychologyFamily medicineSociology

Abstract

fetched live from OpenAlex

This study used the Information Motivation Behavioral (IMB) skills model to examine condom use among rural youth in Edo State, Nigeria. Data were collected from 4,801 youth aged 11 to 17 years attending Junior Secondary Schools. Analysis focused on 1,749 (Male = 1,134, Female = 615) sexually active youth. Random-effects ordinal logit models were used to examine the effects of the various components of the IMB framework on frequency of condom use. Gender-specific models were estimated. Results provided qualified support for the IMB. Specifically, youth who communicated with teachers and peers about condoms and HIV had higher odds of saying they used condoms always than sometimes or never. Compared to males who did not think they could get HIV, those who thought they probably could get infected were less likely to use condoms frequently. Similarly, compared to those who didn’t, females who knew others infected with HIV were less likely to use condoms frequently.

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)0.001
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 score0.082
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.092
GPT teacher head0.363
Teacher spread0.272 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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