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Record W96009040

Sexual disorders and associated help-seeking behaviors in Canada.

2006· article· en· W96009040 on OpenAlexaffabout
Gerald Brock, Edson Duarte Moreira, Dale B. Glasser, Clive Gingell

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsSt Joseph's Health Care
Fundersnot available
KeywordsMedicinePremature ejaculationDepression (economics)Reproductive healthDemographicsSexual intercoursePopulationClinical psychologyPsychiatryDemographyGerontologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: To study sexual activity, the prevalence of sexual difficulties and related help-seeking behaviors, among mature adults in Canada. MATERIALS AND METHODS: A telephone survey (random digit dialed) was conducted in Canada in 2001 to 2002. Interviews were based on a standardized questionnaire, including demographics, general health, relationships, and sexual behaviors, attitudes and beliefs. The survey was completed by a total of 1007 individuals (500 men and 507 women) aged 40 to 80 years in Canada. RESULTS: Overall, 83% of men and 71% of women had engaged in sexual intercourse during the 12 months preceding the interview, and 42% of men and 36% of women engaged in sexual intercourse more than once a week. Early ejaculation (23%) and erectile difficulties (16%) were the sexual problems most frequently reported by men. The sexual problems most frequently reported by women were a lack of sexual interest (30%) and lubrication difficulties (24%). Older age (60 to 80 years compared with 40 to 49 years) and diagnoses of depression and diabetes were all significant predictors of erectile difficulties in men. More than 75% of men and women had sought no help for their sexual problem(s) from a health professional. CONCLUSIONS: Many middle aged and older adults in Canada report continued sexual interest and activity. Although a number of sexual problems are highly prevalent in this population, few individuals seek medical help for these problems. This may be partly because they are not sufficiently bothered by the problem or do not think that it is serious.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.217
Teacher spread0.200 · 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 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
Published2006
Admission routes2
Has abstractyes

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