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Record W2107453238

Cervical cancer awareness and preventive behaviour among female university students in South Africa.

2010· article· en· W2107453238 on OpenAlexaboutno aff
M. E. Hoque

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsCervical cancerMedicineFamily medicineQuarter (Canadian coin)GynecologyStratified samplingReproductive healthHealth educationHealth promotionObstetricsCancerEnvironmental healthPublic healthPopulationNursingInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: The objectives of this descriptive cross-sectional study were to assess the awareness about cervical cancer and preventive behaviour of female first year Mangosuthu University of Technology students. METHODS: A total of 205 students were selected by stratified random sampling techniques. RESULTS: 40% of the students were currently sexually active and among them 28% reported having two or more sexual partners. A third (33%) of the participants heard about cervical cancer. Among them a third (32%) and over a quarter (26%) knew about the HPV virus and multiple sexual partners, respectively, as risk factors for cervical cancer. Participants were twice more likely to use condoms if they heard about cervical cancer (OR = 2.47, p = 0.003). Only 31% participants had heard about the Pap smear test, and among them a third (33%) knew that Pap smear is used for detection or prevention of cervical cancer. CONCLUSION: University management should concentrate on developing policies on health education and promotion particularly targeting preventable health conditions to prevent transmission of the HPV virus.

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 score0.022
Threshold uncertainty score0.572

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)0.0010.000

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 head0.037
GPT teacher head0.313
Teacher spread0.276 · 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

Citations51
Published2010
Admission routes1
Has abstractyes

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