Sex Work Patterns Among Transgender and Gender Diverse People: A Latent Class Analysis

Sex work is a diverse profession encompassing a broad range of people, and services. Though overrepresented in sex work communities, transgender and gender diverse (TGD) individuals are underrepresented in sex work literature. Further, sex work literature continues to underrepresent the heterogeneity evident in the sex work community and the practices that occur within it. The present study utilized data from the 2015 United States Transgender Survey (USTS) to conduct a latent class analysis (LCA) to identify patterns of different types of sex work among TGD adults (<i>N</i> = 2,153) and understand the demographic characteristics associated with engagement in different types of sex work. Conceptual and statistical fit indices indicated an ideal 5-class model. Classes include (1) High Online Primary, (2) Low Online Primary, (3) Varied Sex Work, (4) Erotic Dancer, and (5) Street Primary. Results also revealed multiple differences in class membership based on demographic variables including gender identity, race/ethnicity, and sexual orientation. For example, individuals in Class 5 were significantly more likely to report no income, or income below $10,000, compared to all other classes. Taken together, the current findings highlight the varied and diverse settings, activities, and circumstances of TGD sex workers. Findings also point to a continued need to acknowledge, account for, and value the voices of sex workers across the industry when conducting research, health services, and advocacy.

Authors

Institutions

Publication Details

Journal
Journal of Homosexuality
Published
2024-10-31
DOI
https://doi.org/10.1080/00918369.2024.2415419
Citations
5
Primary Topic
Sex work and related issues
Type
article
Field-Weighted Citation Impact
5.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex Work Patterns Among Transgender and Gender Diverse People: A Latent Class Analysis

Madeline Stenersen, Jessica L. Zemlak, Anjum Umrani, Irelan Fricke
5 citations
Journal of Homosexuality
Sex work and related issues
5.66
article

Sex Work Patterns Among Transgender and Gender Diverse People: A Latent Class Analysis

Madeline Stenersen, Jessica L. Zemlak, Anjum Umrani, Irelan Fricke
article en
5 citations

Abstract

Sex work is a diverse profession encompassing a broad range of people, and services. Though overrepresented in sex work communities, transgender and gender diverse (TGD) individuals are underrepresented in sex work literature. Further, sex work literature continues to underrepresent the heterogeneity evident in the sex work community and the practices that occur within it. The present study utilized data from the 2015 United States Transgender Survey (USTS) to conduct a latent class analysis (LCA) to identify patterns of different types of sex work among TGD adults (<i>N</i> = 2,153) and understand the demographic characteristics associated with engagement in different types of sex work. Conceptual and statistical fit indices indicated an ideal 5-class model. Classes include (1) High Online Primary, (2) Low Online Primary, (3) Varied Sex Work, (4) Erotic Dancer, and (5) Street Primary. Results also revealed multiple differences in class membership based on demographic variables including gender identity, race/ethnicity, and sexual orientation. For example, individuals in Class 5 were significantly more likely to report no income, or income below $10,000, compared to all other classes. Taken together, the current findings highlight the varied and diverse settings, activities, and circumstances of TGD sex workers. Findings also point to a continued need to acknowledge, account for, and value the voices of sex workers across the industry when conducting research, health services, and advocacy.

Journal of HomosexualityVol. 72(11)
Marquette University (US), UCLouvain Saint-Louis Brussels (BE), Saint Louis University (US)
Gender equality
Openalex Percentile: Top 4%
Sex work and related issues
5.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.