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Record W4407732344 · doi:10.1080/0092623x.2025.2464092

Sex Toy Use in Québec (Canada): Prevalence Across Demographics, Motivations, and Links with Erotophobia and Sexual Satisfaction

2025· article· en· W4407732344 on OpenAlexaffabout
Madison Williams, David Lafortune, Cloé Canivet, Éliane Dussault

Bibliographic record

VenueJournal of Sex & Marital Therapy · 2025
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversité du Québec à MontréalUniversity of New Brunswick
Fundersnot available
KeywordsDemographicsDemographyPsychologySexual behaviorClinical psychologyGerontologyDevelopmental psychologyMedicineSociology

Abstract

fetched live from OpenAlex

Sex toys are widely used in both solitary and partnered sexual activities, yet the sociodemographic characteristics and sexual wellbeing of users remain under-researched. This study examined solo and partnered sex toy users’ sociodemographic characteristics and levels of erotophobia and sexual satisfaction in a Canadian community sample (n = 1,959). Participants completed an online survey, including a sociodemographic questionnaire, an inventory of sex toy usage, and validated measures of erotophobia and sexual satisfaction. Comparative analyses (i.e., t-tests, chi-squared) examined the differences in characteristics between individuals who use sex toys and those who do not, while binomial logistic regressions tested the main factors associated with solitary and partnered sex toy usage. Women, younger adults, self-identified virgins, homosexual or bi/pansexual individuals, and those with a history of childhood sexual victimization were more likely to report sex toy use. Sex toy users reported higher sexual satisfaction and lower erotophobia in both solo and partnered contexts than those who had not used sex toys. These findings offer important insights into the characteristics of sex toy users and suggest that further research is needed to understand how individual and sociocultural factors contribute to the relationship between sex toy usage and sexual wellbeing.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.317
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.311
Teacher spread0.289 · 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.

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

Citations5
Published2025
Admission routes2
Has abstractyes

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