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Record W4410114172 · doi:10.1186/s40794-025-00245-4

“Are they going to recollect who they need to contact?”: understanding sexually transmitted infection transmission risks among older Canadians who winter in the United States

2025· article· en· W4410114172 on OpenAlexafffundabout
Olivia Nieves Echevarria, John Pickering, Valorie A. Crooks, Jeremy Snyder, Trudie Milner

Bibliographic record

VenueTropical Diseases Travel Medicine and Vaccines · 2025
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsSexual contactTransmission (telecommunications)DemographyGeographyMedicineGerontologyEnvironmental healthSociologyTelecommunicationsFamily medicineHuman immunodeficiency virus (HIV)EngineeringGonorrhea

Abstract

fetched live from OpenAlex

BACKGROUND: Sexually transmitted infections are on the rise in older populations globally, including among older travellers. International retirement migrants are older people who have retired from the workforce and travel abroad seasonally, typically during the winter months in their home countries. The transnational nature of this practice may challenge public health efforts to control the spread of sexually transmitted infection and encourage treatment. This study focuses on Yuma, Arizona, a popular destination for Canadian international retirement migrants who winter in the United States, to examine the sexual health risks associated with their seasonal travel. METHODS: Utilizing a qualitative case study approach, this research involved semi-structured interviews conducted remotely with key informants in Yuma (n = 10) who held various health care and administrative roles. Participants provided insights into sexual health risks based on their extensive interactions with Canadian seasonal migrants and their knowledge of the social dynamics within retirement communities. Interviews were transcribed verbatim, coded using NVivo software, and thematically analyzed to identify risk factors for sexually transmitted infections among Canadian international retirement migrants wintering in Yuma. RESULTS: Findings revealed three main risks that may contribute to exposure to sexually transmitted infections and potential transmission: social dynamics within tight-knit retirement migrant communities that facilitate unsafe sexual practices (i.e., risky practices); barriers to accessing diagnostic services, such as costs and lack of established local care (i.e., risky care access); and challenges in following standard treatment and public health protocols due to logistical difficulties in ensuring follow-up (i.e., risky treatment decisions). Key informants noted that lifestyle choices, including the use of alcohol and drugs, can exacerbate these risks. Health care access barriers driven by travel health insurance and mobility limitations further complicate the diagnosis and treatment of sexually transmitted infections for Canadian international retirement migrants while abroad. CONCLUSIONS: This study highlights the complex interplay of social behaviours and health care barriers that heighten the risk of sexually transmitted infection transmission among Canadian retirement migrants in the transnational context of Yuma. Extended diagnostic and treatment services, comprehensive sexual health education in pre- and post-travel consultations, as well as inclusive travel health insurance coverage could significantly improve the sexual health outcomes for this population.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0170.005
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.337
Teacher spread0.291 · 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 designQualitative
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

Citations1
Published2025
Admission routes3
Has abstractyes

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