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Record W2410640151 · doi:10.1136/sextrans-2015-052301

Sexual behaviour of backpackers who visit Koh Tao and Koh Phangan, Thailand: a cross-sectional study

2016· article· en· W2410640151 on OpenAlexaboutno aff
Christopher Lewis, Gilles de Wildt

Bibliographic record

VenueSexually Transmitted Infections · 2016
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
FundersUniversity of Birmingham
KeywordsMedicineCondomDemographyCross-sectional studyPublic healthIncidence (geometry)Focus groupSexual intercourseReproductive healthPopulationFamily medicineHuman immunodeficiency virus (HIV)Environmental healthSyphilisNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: To measure the proportion of backpackers engaging in unprotected sex while travelling in Thailand and to identify predictors of unsafe sexual behaviour. METHODS: A cross-sectional study using an anonymous questionnaire was performed. English-speaking backpackers, excluding US and Thai citizens, were recruited while travelling through the piers of Koh Tao and Koh Phangan between 25 January and 13 March 2013. RESULTS: 61.5% (1238/2013) respondents were travelling without a long-term sexual partner, of whom 39.1% (29.4% females; 51.9% males) reported intercourse with a new partner. 36.8% of these reported inconsistent/no condom use. Inconsistent condom use was independently associated with age <25 years, UK (vs Canadian) nationality and not bringing condoms from home. Backpackers who brought condoms from home were more likely to have sex with a new partner. Male gender and longer trip length increased the likelihood of new partner acquisition and overall risk of unsafe sex but were not associated with inconsistent condom use. New partners were most commonly backpackers from other countries. Men were more likely than women to have sex with a local person. CONCLUSIONS: Backpackers visiting Thailand frequently report unsafe sex. Partner demographics demonstrate a mechanism of international sexually transmitted infection (STI) transfer. In an era of growing antibiotic resistance and continuing HIV transmission, targeting unsafe sex in backpackers has the potential to reduce STI incidence internationally. These data highlight the need for innovative public health intervention. To focus such measures, future research may elucidate why certain groups are at higher risk.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.330
Teacher spread0.306 · 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.

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

Citations22
Published2016
Admission routes1
Has abstractyes

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