Willingness to disclose sexual orientation and gender identity on federal government surveys: A community-based research study with gay, bisexual, transgender, and queer men and nonbinary and Two-Spirit people in Canada

These findings suggest that government datasets may significantly misclassify and underestimate the population size of 2S/GBTQ+ individuals. Persistent mistrust of government institutions within this community may exacerbate underreporting and non-disclosure, underscoring the need for research into methodologies that can enhance trust and improve the accuracy of population estimates. Researchers using existing government datasets should consider using statistical methods to account for potential misclassification error.

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Publication Details

Journal
Canadian Journal of Public Health
Published
2025-10-17
DOI
https://doi.org/10.17269/s41997-025-01127-0
Primary Topic
LGBTQ Health, Identity, and Policy
Type
article
Field-Weighted Citation Impact
0.00

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article

Willingness to disclose sexual orientation and gender identity on federal government surveys: A community-based research study with gay, bisexual, transgender, and queer men and nonbinary and Two-Spirit people in Canada

Everett Blackwell, Nathan J. Lachowsky, Kai Jacobsen, Kiffer George Card et al.
Canadian Journal of Public Health
LGBTQ Health, Identity, and Policy
article

Willingness to disclose sexual orientation and gender identity on federal government surveys: A community-based research study with gay, bisexual, transgender, and queer men and nonbinary and Two-Spirit people in Canada

Everett Blackwell, Nathan J. Lachowsky, Kai Jacobsen, Kiffer George Card, Ben Klassen, Aki M. Gormezano, Rob Higgins, Olivier Ferlatte, Coady Babin
article en

Abstract

These findings suggest that government datasets may significantly misclassify and underestimate the population size of 2S/GBTQ+ individuals. Persistent mistrust of government institutions within this community may exacerbate underreporting and non-disclosure, underscoring the need for research into methodologies that can enhance trust and improve the accuracy of population estimates. Researchers using existing government datasets should consider using statistical methods to account for potential misclassification error.

Canadian Journal of Public Health
University of British Columbia (CA), University of Northern British Columbia (CA), Simon Fraser University (CA), University of Victoria (CA), Community Based Research Centre (CA), Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal (CA), Université de Montréal (CA)
Australian Government, Canadian Blood Services, Vancouver Foundation, Michael Smith Health Research BC, Health Canada
Openalex Percentile: Top 66%
LGBTQ Health, Identity, and Policy
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