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<p>Gender-affirming treatments, including gender-affirming hormone therapy and gender-affirmation surgery, aim to align transgender individuals’ physical appearance with their intrinsic gender identity. However, one-third of 7,576 participants (mean age: 21.61) in the Chinese Transgender Health Survey reported no intention of pursuing these treatments. This study examines the associations between sociodemographic, treatment-related factors and mental health across four groups: no intention for treatment (<i>n</i> = 2,523), intending treatment not started (<i>n</i> = 2,576), gender-affirming hormone therapy (<i>n</i> = 2,369) and gender-affirmation surgery (<i>n</i> = 290). Notably, the surgery group reported the highest gender dysphoria, while the hormone group exhibited the highest levels of anxiety, depression, post-traumatic stress disorder, self-harm and suicide risk. Multivariate regression models revealed that sociodemographic factors, such as education, were differently associated with mental health statuses across groups, showing a complex mosaic effect. Here we show that these differences do not imply treatment effects but rather highlight the need for personalized clinical considerations in gender-affirming care.</p>

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Investigating the association between gender-affirming treatment intentions and choices on mental health among transgender individuals

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • Jiaqi Li,
  • Xin Cui,
  • Qiaoqing Zheng,
  • Hui Yu,
  • Zhihao Ma,
  • Yuanyuan Wang

摘要

Gender-affirming treatments, including gender-affirming hormone therapy and gender-affirmation surgery, aim to align transgender individuals’ physical appearance with their intrinsic gender identity. However, one-third of 7,576 participants (mean age: 21.61) in the Chinese Transgender Health Survey reported no intention of pursuing these treatments. This study examines the associations between sociodemographic, treatment-related factors and mental health across four groups: no intention for treatment (n = 2,523), intending treatment not started (n = 2,576), gender-affirming hormone therapy (n = 2,369) and gender-affirmation surgery (n = 290). Notably, the surgery group reported the highest gender dysphoria, while the hormone group exhibited the highest levels of anxiety, depression, post-traumatic stress disorder, self-harm and suicide risk. Multivariate regression models revealed that sociodemographic factors, such as education, were differently associated with mental health statuses across groups, showing a complex mosaic effect. Here we show that these differences do not imply treatment effects but rather highlight the need for personalized clinical considerations in gender-affirming care.