Evidence map›Paper›PMID 37523187›Full record

ArticleJAMA network open2023

Prevalence of 12 Common Health Conditions in Sexual and Gender Minority Participants in the All of Us Research Program.

Nguyen K Tran, Mitchell R Lunn, Claire E Schulkey, Samantha Tesfaye, Siddhartha Nambiar, Snigdhansu Chatterjee, Dawn Kozlowski, Paula Lozano, Fornessa T Randal, Yicklun Mo and 8 more

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Nguyen K TranThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Mitchell R LunnThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Claire E SchulkeyAll of Us Research Program, Office of the Director, National Institutes of Health, Bethesda, Maryland.
Samantha Tesfaye
Siddhartha NambiarCovalent Solutions LLC, Rockville, Maryland.
Snigdhansu ChatterjeeSchool of Statistics, University of Minnesota, Minneapolis.
Dawn KozlowskiCherokee Health Systems, Knoxville, Tennessee.
Paula LozanoCenter for Asian Health Equity, The University of Chicago Medicine, Chicago, Illinois.
Fornessa T RandalCenter for Asian Health Equity, The University of Chicago Medicine, Chicago, Illinois.
Yicklun MoCenter for Asian Health Equity, The University of Chicago Medicine, Chicago, Illinois.
Siya QiCenter for Asian Health Equity, The University of Chicago Medicine, Chicago, Illinois.
Ell HundertmarkThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Chloe EastburnThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Anthony T PhoThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Zubin DasturThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Micah E LubenskyThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Annesa FlentjeThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California.
Juno Obedin-MaliverThe PRIDE Study/PRIDEnet, Departments of Medicine and of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, 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
NIH 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 OT2 OD027077NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

Importance: Limited data describe the health status of sexual or gender minority (SGM) people due to inaccurate and inconsistent ascertainment of gender identity, sex assigned at birth, and sexual orientation. Objective: To evaluate whether the prevalence of 12 health conditions is higher among SGM adults in the All of Us Research Program data compared with cisgender heterosexual (non-SGM) people. Design, Setting, and Participants: This cross-sectional study used data from a multidisciplinary research consortium, the All of Us Research Program, that links participant-reported survey information to electronic health records (EHR) and physical measurements. In total, 372 082 US adults recruited and enrolled at an All of Us health care provider organization or by directly visiting the enrollment website from May 31, 2017, to January 1, 2022, and were assessed for study eligibility. Exposures: Self-identified gender identity and sexual orientation group. Main Outcomes and Measures: Twelve health conditions were evaluated: 11 using EHR data and 1, body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), using participants' physical measurements. Logistic regression (adjusting for age, income, and employment, enrollment year, and US Census division) was used to obtain adjusted odds ratios (AORs) for the associations between each SGM group and health condition compared with a non-SGM reference group. Results: The analytic sample included 346 868 participants (median [IQR] age, 55 [39-68] years; 30 763 [8.9%] self-identified as SGM). Among participants with available BMI (80.2%) and EHR data (69.4%), SGM groups had higher odds of anxiety, depression, HIV diagnosis, and tobacco use disorder but lower odds of cardiovascular disease, kidney disease, diabetes, and hypertension. Estimated associations for asthma (AOR, 0.39 [95% CI, 0.24-0.63] for gender diverse people assigned male at birth; AOR, 0.51 [95% CI, 0.38-0.69] for transgender women), a BMI of 25 or higher (AOR, 1.65 [95% CI, 1.38-1.96] for transgender men), cancer (AOR, 1.15 [95% CI, 1.07-1.23] for cisgender sexual minority men; AOR, 0.88 [95% CI, 0.81-0.95] for cisgender sexual minority women), and substance use disorder (AOR, 0.35 [95% CI, 0.24-0.52] for gender diverse people assigned female at birth; AOR, 0.65 [95% CI, 0.49-0.87] for transgender men) varied substantially across SGM groups compared with non-SGM groups. Conclusions and Relevance: In this cross-sectional analysis of data from the All of Us Research Program, SGM participants experienced health inequities that varied by group and condition. The All of Us Research Program can be a valuable resource for conducting health research focused on SGM people.

Indexed as

Population HealthSexual and Gender MinoritiesAdultAgedCross-Sectional StudiesFemaleGender IdentityHumansMaleMiddle AgedPrevalenceSexual Behavior

Identifiers

PMID37523187
PMCPMC10391317

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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.