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      Comparing the health of non-binary and binary transgender adults in a statewide non-probability sample

      research-article
      1 , 2 , 3 , 4 , * , 4 , 5 , 6
      PLoS ONE
      Public Library of Science

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          Abstract

          Background

          In the U.S., non-binary refers to transgender people who have a gender identity not aligned with their assigned sex at birth, and who identify outside of the traditional male-female binary, such as genderqueer, genderfluid, or gender nonconforming. Few data are available to characterize the health of non-binary adults.

          Methods

          The current study sought to fill this gap by conducting a secondary analysis of data from a non-probability sample of transgender and/or gender nonconforming adults in Massachusetts (sample mean age 32.6 years, 63% female assigned sex at birth; 79.4% white non-Hispanic/Latinx). Multivariable models were fit to compare non-binary (e.g., genderqueer) vs. binary (e.g., man/trans man, woman/trans woman) respondents across a range of social and health indicators.

          Results

          Overall, 40.9% identified their gender identity as non-binary. Non-binary respondents significantly differed from binary respondents on (all p<0.05): demographics (younger age, more female assigned sex at birth); gender affirmation (older age of identity recognition, lower current uptake of and future desires for medical gender affirmation); healthcare utilization (lower rates of being up-to-date in annual wellness visit, less mental healthcare utilization in past year); mental health and substance use (higher past-week depressive distress, higher hazardous alcohol use); social history (more unstably housed, more current students), violence victimization (lower rates of lifetime intimate partner violence), and social support (less family support).

          Conclusion

          Gender diversity, including whether people endorse a binary or non-binary gender identity, is a prevalent and an important aspect of transgender health. Demographic measures of gender identity that include binary and non-binary response options are recommended to inform future research and clinical care.

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          Most cited references43

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          • Article: not found

          Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).

          We derived and tested a short form of the Center for Epidemiologic Studies Depression Scale (CES-D) for reliability and validity among a sample of well older adults in a large Health Maintenance Organization. The 10-item screening questionnaire, the CESD-10, showed good predictive accuracy when compared to the full-length 20-item version of the CES-D (kappa = .97, P or = 16 for the full-length questionnaire and > or = 10 for the 10-item version. We discuss other potential cutoff values. The CESD-10 showed an expected positive correlation with poorer health status scores (r = .37) and a strong negative correlation with positive affect (r = -.63). Retest correlations for the CESD-10 were comparable to those in other studies (r = .71). We administered the CESD-10 again after 12 months, and scores were stable with strong correlation of r = .59.
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            • Article: not found

            Transgender stigma and health: A critical review of stigma determinants, mechanisms, and interventions.

            Transgender people in the United States experience widespread prejudice, discrimination, violence, and other forms of stigma.
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              • Record: found
              • Abstract: found
              • Article: not found

              Mental health of transgender youth in care at an adolescent urban community health center: a matched retrospective cohort study.

              Transgender youth represent a vulnerable population at risk for negative mental health outcomes including depression, anxiety, self-harm, and suicidality. Limited data exist to compare the mental health of transgender adolescents and emerging adults to cisgender youth accessing community-based clinical services; the present study aimed to fill this gap.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 August 2019
                2019
                : 14
                : 8
                : e0221583
                Affiliations
                [1 ] Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts, United States of America
                [2 ] Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America
                [3 ] Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [4 ] The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
                [5 ] Departments of Behavioral and Social Sciences and Epidemiology, Brown University School of Public Health, Providence, Rhode Island, United States of America
                [6 ] Center for Health Equity Research, Brown University, Providence, Rhode Island, United States of America
                University of California Los Angeles, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-7868-4746
                Article
                PONE-D-19-04841
                10.1371/journal.pone.0221583
                6711503
                31454395
                4d53d21b-8117-43d0-b39b-87238dafe21c
                © 2019 Reisner, Hughto

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 February 2019
                : 9 August 2019
                Page count
                Figures: 0, Tables: 5, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100007301, Harvard University Center for AIDS Research;
                Award ID: CFAR-FCHC-15-1
                Award Recipient :
                This publication was supported in part by a developmental grant awarded to PI Dr. Reisner (CFAR-FCHC-15-1) by: (1) the Harvard University Center for AIDS Research (CFAR), an NIH funded program (P30 AI060354), which is supported by the following NIH Co-Funding and Participating Institutes and Centers: NIAID, NCI, NICHD, NHLBI, NIDA, NIMH, NIA, FIC, and OAR; (2) the Harvard Global Health Institute (HGHI). The findings and conclusions in this report are those of the authors and do not necessarily represent any official position of the funders.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Gender Identity
                Social Sciences
                Psychology
                Gender Identity
                People and Places
                Population Groupings
                Gender Groupings
                Transgender People
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Physical Sciences
                Mathematics
                Statistics
                Confidence Intervals
                Custom metadata
                The dataset supporting the conclusions of this article is available from the Harvard Dataverse repository and can be accessed using the following link: https://doi.org/10.7910/DVN/FNVNNA.

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