ArticleCulture, health & sexuality2018
For data's sake: dilemmas in the measurement of gender minorities.
Article in Culture, health & sexuality, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 41 citations in OpenAlex.
- COVID-19 in Rural Ontario Communities: Exploring Women's Mental Health During a Pandemic.International journal of environmental research and public health · 2025Article
- Health Disparities Among Sexual and Gender Minority People Living With Epilepsy: A Cross-Sectional Analysis.Neurology. Clinical practice · 2025Article
- Article
- Cancer disparities among sexual and gender minority populations.Journal of the National Medical Association · 2023Article
- Sampling Sexual and Gender Minority Youth With UnACoRN (Understanding Affirming Communities, Relationships, and Networks): Lessons From a Web-Based Survey.Journal of medical Internet research · 2023Article
- Transgender individuals are at higher risk for suicidal ideation and preparation than cisgender individuals in substance use treatment.Frontiers in psychiatry · 2023Article
- [Assessment and operationalization of the characteristic "gender" in representative population-based surveys: challenges and implications with the example of the GeSiD study].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2021Review
- Article
- "Tiptoeing Around the System": Alternative Healthcare Navigation Among Gender Minorities in New Orleans.Transgender health · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Gender-minority health disparity research is limited by binary gender measurement practices. This study seeks to broaden current discourse on gender identity measurement in the USA, including measurement adoption challenges and mitigation strategies, thereby allowing for better data collection to understand and address health disparities for people of all genders. Three data sources were used to triangulate findings: expert interviews with gender and sexuality research leaders; key-informant interviews with gender minorities in New Orleans, LA; and document analysis of relevant surveys, guides and commentaries. Ten key dilemmas were identified: 1) moving beyond binary gender construction; 2) conflation of gender, sex and sexual orientation; 3) emerging nature of gender-related language; 4) concerns about item sensitivity; 5) research fatigue among gender minorities; 6) design and analytical limitations; 7) categorical and procedural consistency; 8) pre-populated vs. open-field survey items; 9) potential misclassification; and 10) competing data collection needs. Researchers must continue working toward consensus concerning better practices is gender measurement and be explicit about their methodological choices. The existence of these dilemmas must not impede research on important health issues affecting gender minorities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.