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Record W3004524315 · doi:10.1017/s0714980819000734

Aging and Sexual Health: A Cross-Sectional Survey of Patients in a Canadian Urban Academic Family Health Team

2020· article· en· W3004524315 on OpenAlexaffabout
Erin Lurie, Meera Nathwani, Morgan Slater, Erica Leanne Pascoal, Sarah Chadwick, Jana Cmorejova, Charlie Guiang

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2020
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsCross-sectional studyReproductive healthHuman sexualityMedicinePrimary careHealth careDemographyPsychologyGerontologyFamily medicineEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

Primary care physicians are in a position to recognize sexuality as a core component of health. Data examining the sexual behaviours of Canadians over the age of 50 and the role of primary care in this domain is lacking. A cross-sectional survey was administered to patients over the age of 50, which assessed the importance of sexual activity, problems, and preferences in discussing sexual health with their primary care providers. A total of 39 per cent of patients indicated ongoing sexual activity and 52% of male participants reported current sexual activity compared with 25 per cent of females (p < 0.01). More males reported sexual activity as important than did females (69% vs. 45%, p < 0.01). Participants identifying sexual health concerns discussed physical dysfunctions more than emotional, social, or global health concerns (p < 0.01). More male participants discussed sexual health concerns with their family physician than did females (p < 0.01). The results of our study indicate that many individuals over the age of 50 continue to be sexually active, and that physical and non-physical concerns directly impact participation in sexual activity.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.053
GPT teacher head0.297
Teacher spread0.244 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicSexual function and dysfunction studiesFrench-language works237,207