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Record W2108463307 · doi:10.1093/heapro/dau113

Perceived vulnerability and HIV testing among youth in Cape Town, South Africa

2014· article· en· W2108463307 on OpenAlexaff
Eric Y. Tenkorang

Bibliographic record

VenueHealth Promotion International · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsVulnerability (computing)PerceptionPsychologyTest (biology)Risk perceptionSocial psychologyBehavior changeOrdered logitEnvironmental healthDemographyGeographyDevelopmental psychologyMedicineSociologyComputer security

Abstract

fetched live from OpenAlex

The importance of perceived vulnerability to risk-reducing behaviors, including HIV testing, is fairly established, especially among youth in sub-Saharan Africa. Yet, the majority of studies that examined this important relationship used cross-sectional data that inherently assume that perceived vulnerability does not change. While these studies have been useful, the assumption of perceived vulnerability as time invariant is a major flaw and has largely limited the practical usefulness of this variable in AIDS prevention and programing. Using longitudinal data and applying random-effects logit models, this study makes a major contribution to scholarship by examining if changes in perceived vulnerability associate with a change to test for HIV among 857 young people in Cape Town, South Africa. Results show that female youth who changed their risk perceptions were more likely to also change to test for HIV, but the effects were completely attenuated after controlling for theoretically relevant variables. No significant relationships were observed for males. Also, females who were virgins at wave 2 but had sex between waves were significantly more likely to have changed to test for HIV. Of most importance was that sexual behavior eliminated the effects of change in risk perceptions suggesting that a change in perception may have occurred as a result of changes in sexual behavior. AIDS prevention programs must pay particular attention to helping youth become aware of their vulnerability to HIV risks, especially as these have implications for risk-reducing behaviors, especially for females who are burdened.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.200
GPT teacher head0.426
Teacher spread0.226 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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