Evidence map›Paper›PMID 35997907›Full record

ArticleArchives of sexual behavior2022

Subcultural Identification, Penetration Practices, Masculinity, and Gender Labels within a Nationally Representative Sample of Three Cohorts of American Black, White, and Latina/o LGBQ People.

Tony Silva

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of sexual behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Tony SilvaDepartment of Sociology, University of British Columbia, 6303 NW Marine Drive, Vancouver, BC, V6T 1Z1, Canada. tony.silva@ubc.ca.ORCID 0000-0003-0701-8169
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most quantitative research about lesbian, gay, bisexual, and queer (LGBQ) people's sexual subcultures and sexual practices has used non-probability samples due to data limitations. This paper used the Generations study, a national probability sample of LGBQ Americans in three age cohorts, 18-25 (n = 510), 34-41 (n = 294), and 52-59 (n = 425), who also identified as Black, white, or Latina/o. This paper analyzed men (n = 590) and women (n = 639) to answer the following sets of research questions: (1) What is the prevalence of subcultural identification as bear, leather/kink, twink, and jock among men, and how does it differ by cohort, race/ethnicity, and sexual identity? (2) What is the prevalence of men who describe themselves as a top, versatile top, versatile, versatile bottom, and bottom? What is the relationship between penetration practices and masculinity? (3) What is the prevalence of gender labels among women as femme, androgynous, and butch? How does the prevalence differ by cohort, race/ethnicity, and sexual identity? (4) What is the relationship between women's gender labels and masculinity? Penetration practices were fairly evenly distributed among men, and there were few differences in masculinity based on penetration practices after controlling for demographics and subcultural identification. Most women did not use gender labels, but butch identities were more common among lesbians and femme labels were more common among Black women and Latinas.

Indexed as

Homosexuality, FemaleSexual and Gender MinoritiesBisexualityFemaleHispanic or LatinoHumansMaleMasculinitySexual BehaviorUnited StatesGenderLGBQSexual minoritiesSexual orientationSexual subcultures

Identifiers

PMID35997907
OpenAlexW4292838513

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.