Bibliographic record
Abstract
The primary study objective was to identify the prevalence of sexual activity and sexual risk-taking behaviour among a sample of older community-based adults. Secondary objectives included gathering data about past experiences of consultations regarding sexual health issues with general practitioners (GPs) and at genitourinary medicine (GUM) clinics, and exploring participants' STI and HIV/AIDS-related information needs. Individuals over the age of 50 were identified from four electoral wards within Sheffield, UK by means of a postal screen based on the electoral register. Respondents self completed a short postal questionnaire. Three hundred and nineteen individuals aged over 50 years selected at random from the general population responded. Approximately 80% of respondents were currently sexually active and 7% engaged in behaviours that may place them at risk of contracting a sexually transmitted infection (STI). Risk takers were typically male, aged between 50 and 60 years and married. Being male was also related to reporting current or past sexual health concerns. In total, of 75 respondents reporting such concerns, two thirds had discussed these concerns with their GP or attended a GUM clinic. Levels of satisfaction with such consultations were generally high, but declined with increasing age. Overall, most participants felt they had not received very much information about STIs and HIV, and about one quarter reported that they would like to receive more information on these topics. These data have implications for all health and social care professionals who work with older people and indicate a potential need for education to help professionals meet the sexual health needs of their older patients/clients. Further implications for sexual health promotion and the need for additional research in this field are also discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".