Background
We conducted a systematic review and meta-analysis to evaluate how various definitions of “transgender” may affect prevalence estimates.
Methods
PubMed, Embase, and Medline were searched to identify studies reporting prevalence estimates of transgender in a population. All studies were grouped based on the case definition applied to the numerator. Summary estimates were derived using a random-effects model for total prevalence of transgender and for male-to-female (MTF) and female-to-male (FTM) subgroups. Overall and stratum-specific meta-prevalence estimates (mPs) and 95% confidence intervals (CIs) were accompanied by tests for heterogeneity, and meta-regressions to assess sources of heterogeneity.
Results
A total of 32 studies met the inclusion criteria for the systematic review. Of those, 27 studies provided necessary data for a meta-analysis. Overall mP (95% CI) per 100,000 population was 9.2 (4.9, 13.6) for surgical or hormonal gender affirmation therapy and 6.8 (4.6–9.1) for transgender-related diagnoses. Among studies assessing self-reported transgender identity, the mP was 871 (95% 519, 1224); however this result was influenced by a single outlier study. After removal of that study, the mP changed to 355 (95% CI 144, 566). Significant heterogeneity was observed in most analyses.
Conclusions
The empirical literature on the prevalence of transgender highlights the importance of adhering to specific case definitions because the results may range by orders of magnitude. Standardized and routine collection of transgender data is recommended.