Data · dataset · 2022
Replication Data for: Men’s Feminist Identification and Reported Use of Prescription Erectile Dysfunction Medication
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp3/lrsfsn
This paper analyzes data from the 2018 Sex in Canada survey (n = 1,015 cisgender men) to examine the association between feminist identification and reported use of prescription ED medication (EDM) during men’s last sexual encounter.
Description
Feminist-identified men were substantially more likely to report EDM use than non-feminist men, even after controlling for alcohol use before sex, erection difficulties, sexual arousal, sexual health, mental health, and physical health.
One explanation is that feminist men may use EDM to bolster their masculinity when it is otherwise threatened by their identification as feminist. Another is that non-feminist men may be less likely to use prescription EDM because they view accessing healthcare services as a threat to their masculinity. It is also possible that feminist men are more likely to use EDM because they wish to maintain an erection to better please their partner.
Read the rest (1 more)
Lastly, feminist men may be more honest about EDM use than non-feminist men, even though rates are similar. Regardless of the exact reason, therapists can use these results to tailor sexual health messages to clients based on feminist identification. Future work could employ qualitative methods to understand why feminist men report higher rates of EDM use than non-feminist men.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FLRSFSN ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/lrsfsn ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Social Sciences · Social Sciences
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Social Science · Social Science
- Inferred from text
- Gender studies 71%
Provenance · 2 source records, 22 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/LRSFSN | 10 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP3/LRSFSN | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4405 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].dataverse_subject:social-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |