{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T04:48:15Z","timestamp":1790484495632,"version":"4.1.0"},"reference-count":44,"publisher":"American Medical Association (AMA)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi250071-4\"><jats:title>Importance<\/jats:title><jats:p>In the US, transgender, nonbinary, and gender diverse (TGD) adults have high rates of depression. Gender-affirming hormone therapy (GAHT) is associated with improved mental health outcomes, yet existing US studies have short follow ups and lack sample diversity.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250071-5\"><jats:title>Objective<\/jats:title><jats:p>To evaluate the use of GAHT delivered in primary care as an intervention for moderate-to-severe depressive symptoms in diverse TGD adult patients.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250071-6\"><jats:title>Design, Setting, and Participants<\/jats:title><jats:p>LEGACY was an observational cohort study conducted in federally qualified community health centers in Boston and New York that followed up TGD patients (N\u2009=\u20093592) from calendar years 2016 to 2019 (48 months). Participants included individuals aged 18 years or older, gender identity different from sex at birth, a past 12-month medical visit, and signed patient consent form in the electronic health record (EHR).<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250071-7\"><jats:title>Exposures<\/jats:title><jats:p>Prescriptions for GAHT obtained from EHR data, using the date of the first and last GAHT prescription in each calendar year of observation (GAHT within the year vs no GAHT during the year).<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250071-8\"><jats:title>Main Outcomes and Measures<\/jats:title><jats:p>A binary outcome of patient-reported moderate-to-severe depressive symptoms was obtained using the validated Patient-Health Questionnaire (PHQ), scoring 10 or greater on the PHQ-9 or scoring 3 or greater on the PHQ-2. Following multiple imputation, generalized estimating equations (GEE) longitudinally modeled GAHT and moderate-to-severe depressive symptoms (n = 20 320 observations) and adjusted for age, gender identity, race and ethnicity, health insurance, federal poverty level, HIV serostatus, number of cohort years, and clinical site.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250071-9\"><jats:title>Results<\/jats:title><jats:p>The median age of the 3592 patients was 28 (IQR, 24-36) years. Race and ethnicity was diverse (1.3% Asian\/Pacific Islander, 11.7% Black, 16.1% Hispanic\/Latinx, 63.1% White, 6.8% multiracial, and 1.4% other). In addition, 18.9% were nonbinary, 52.1% lived below the federal poverty level, 34.2% were publicly insured, 4.1% were uninsured, and 5.1% were living with HIV. At baseline, 84.5% of the individuals were prescribed GAHT and 15.3% reported moderate-to-severe depressive symptoms. Patients prescribed GAHT had a statistically significantly lower risk of moderate-to-severe depressive symptoms over follow-up compared with those not prescribed GAHT (adjusted risk ratio, 0.85; 95% CI, \u20090.75-0.98).<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250071-10\"><jats:title>Conclusions and Relevance<\/jats:title><jats:p>In this longitudinal observational cohort study, GAHT was associated with lower rates of moderate-to-severe depressive symptoms, highlighting the importance of gender-affirming primary care models for TGD patients.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2025.0955","type":"journal-article","created":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T15:31:56Z","timestamp":1742225516000},"page":"e250955","source":"Crossref","is-referenced-by-count":25,"title":["Gender-Affirming Hormone Therapy and Depressive Symptoms Among Transgender Adults"],"prefix":"10.1001","volume":"8","author":[{"given":"Sari L.","family":"Reisner","sequence":"first","affiliation":[{"name":"Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor"},{"name":"Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor"},{"name":"Eisenberg Family Depression Center, University of Michigan, Ann Arbor"},{"name":"Department of Epidemiology, Harvard T. 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