Evidence map›Paper›PMID 39878980›Full record

ArticleJAMA network open2025

Mental Health Disparities by Sexual Orientation and Gender Identity in the All of Us Research Program.

Junjie Anderson Lu, Shamsi Soltani, S Bryn Austin, David H Rehkopf, Mitchell R Lunn, Marvin E Langston

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Junjie Anderson LuDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Shamsi SoltaniDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
S Bryn AustinDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
David H RehkopfDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Mitchell R LunnDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Marvin E LangstonDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NHLBI NIH HHS T32 HL151323NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

Importance: Limited research explores mental health disparities between individuals in sexual and gender minority (SGM) populations and cisgender heterosexual (non-SGM) populations using national-level data. Objective: To explore mental health disparities between SGM and non-SGM populations across sexual orientation, sex assigned at birth, and gender identity within the All of Us Research Program. Design, Setting, and Participants: This cross-sectional study used survey data and linked electronic health records of eligible All of Us Research Program participants from May 31, 2017, to June 30, 2022. Exposure: Self-identified SGM status. Main Outcomes and Measures: Prevalence of common mental health conditions identified from linked electronic health records. Logistic regression adjusted for age, race and ethnicity, educational level, income, employment status, and geographic region was used to assess the association between SGM status and mental health conditions. Results: Among 413 457 participants, 269 947 (65.3%) were included in the analysis (median age, 59 [IQR, 43-70] years), with 22 189 (8.2%) self-identified as SGM. Men with cisgender sexual minority identity had higher odds of bipolar disorder (adjusted odds ratio [AOR], 1.87; 95% CI, 1.70-2.56) compared with cisgender heterosexual men. Women with cisgender sexual minority identity had higher odds of bipolar disorder (AOR, 2.09; 95% CI, 1.95-2.25) compared with cisgender heterosexual women. Gender diverse people assigned female sex at birth had higher odds of posttraumatic stress disorder (PTSD) compared with both cisgender heterosexual men (AOR, 3.67; 95% CI, 2.99-4.50) and cisgender heterosexual women (AOR, 2.77; 95% CI, 2.26-3.40). Gender diverse individuals assigned male sex at birth had higher odds of bipolar disorder (AOR, 2.35; 95% CI, 1.66-3.33) compared with cisgender heterosexual men and higher odds of attention-deficit/hyperactivity disorder (AOR, 2.19; 95% CI, 1.48-3.23) compared with cisgender heterosexual women. Transgender men had higher odds of depression (AOR, 2.11; 95% CI, 1.80-2.49) compared with cisgender heterosexual men, while transgender women had higher odds of any personality disorder (AOR, 2.71; 95% CI, 1.84-3.99) compared with cisgender heterosexual women. Conclusions and Relevance: In this cross-sectional study of participants in the All of Us Research Program, there were significant mental health disparities between participants in SGM and non-SGM groups. These findings underscore the need for tailored mental health interventions to improve the well-being of SGM populations, while noting that the associations do not imply causality but reflect the stigma and minority stress experienced by these individuals.

Indexed as

Gender IdentityHealth Status DisparitiesMental DisordersMental HealthSexual and Gender MinoritiesSexual BehaviorAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited States

Identifiers

PMID39878980
PMCPMC11780479

What OpenQuestion holds

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Registered trials

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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.