Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults

Abstract Background Trans-masculine (TM) individuals, who are assigned female sex at birth and identify along the masculine gender spectrum, face mental health disparities relative to cisgender people. Limited research has sought to explore the multi-level risk and protective factors associated with...

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Main Authors: Michal J. McDowell, Jaclyn M. W. Hughto, Sari L. Reisner
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Psychiatry
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12888-018-2008-0
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author Michal J. McDowell
Jaclyn M. W. Hughto
Sari L. Reisner
author_facet Michal J. McDowell
Jaclyn M. W. Hughto
Sari L. Reisner
author_sort Michal J. McDowell
collection DOAJ
description Abstract Background Trans-masculine (TM) individuals, who are assigned female sex at birth and identify along the masculine gender spectrum, face mental health disparities relative to cisgender people. Limited research has sought to explore the multi-level risk and protective factors associated with mental health morbidity for TM populations. Methods Between August 2015–September 2016, 150 TM adults were enrolled in a one-time biobehavioral health study. A survey assessed socio-demographics, past 12-month everyday discrimination, lifetime intimate partner violence (IPV), resilience (using the Brief Resilience Scale), and other factors. Bivariate and multivariable logistic regression analyses examined associations between participant characteristics and four mental health statuses: post-traumatic stress disorder (PTSD), depression, anxiety, and non-suicidal self-injury (NSSI). Results In this sample (76.7% had a binary gender identity, i.e., man or transgender man; 74.7% were white, 70.0% were under age 30 years), 42.2% had PTSD based on past 30-day symptoms; 25.7% had depression based on past 7-day symptoms; 31.1% had anxiety based on past 7-day symptoms; and 31.3% had engaged in NSSI within the past 12-months. Results from multivariable models: 1) PTSD: unemployment, lifetime IPV and past 12-month discrimination were each associated with increased odds of PTSD, while having a partner was associated with the reduced odds of PTSD. 2) Depression: lower educational attainment and past 12-month discrimination were each associated with the increased odds of depression, while greater resilience was associated with the reduced odds of depression. 3) Anxiety: low annual household income and past 12-month discrimination were each associated with the increased odds of anxiety, while resilience was associated with the reduced odds of anxiety. 4) NSSI: past 12-month discrimination was associated with the increased odds of past 12-month NSSI, while higher age and greater resilience was associated with the reduced odds of NSSI (all p-values < 0.05). Conclusions Unemployment, low income, limited education, everyday discrimination, and violence were risk factors for poor mental health, while being in a relationship, higher age, and personal resilience were protective against mental health morbidity. Findings highlight the need for interventions to address the individual, interpersonal, and societal factors that may be driving poor mental health in this population.
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spelling doaj.art-22157f99825747969008e32452359c7e2022-12-21T18:29:52ZengBMCBMC Psychiatry1471-244X2019-01-0119111210.1186/s12888-018-2008-0Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adultsMichal J. McDowell0Jaclyn M. W. Hughto1Sari L. Reisner2Harvard Medical SchoolDepartment of Epidemiology, Brown University School of Public HealthHarvard Medical SchoolAbstract Background Trans-masculine (TM) individuals, who are assigned female sex at birth and identify along the masculine gender spectrum, face mental health disparities relative to cisgender people. Limited research has sought to explore the multi-level risk and protective factors associated with mental health morbidity for TM populations. Methods Between August 2015–September 2016, 150 TM adults were enrolled in a one-time biobehavioral health study. A survey assessed socio-demographics, past 12-month everyday discrimination, lifetime intimate partner violence (IPV), resilience (using the Brief Resilience Scale), and other factors. Bivariate and multivariable logistic regression analyses examined associations between participant characteristics and four mental health statuses: post-traumatic stress disorder (PTSD), depression, anxiety, and non-suicidal self-injury (NSSI). Results In this sample (76.7% had a binary gender identity, i.e., man or transgender man; 74.7% were white, 70.0% were under age 30 years), 42.2% had PTSD based on past 30-day symptoms; 25.7% had depression based on past 7-day symptoms; 31.1% had anxiety based on past 7-day symptoms; and 31.3% had engaged in NSSI within the past 12-months. Results from multivariable models: 1) PTSD: unemployment, lifetime IPV and past 12-month discrimination were each associated with increased odds of PTSD, while having a partner was associated with the reduced odds of PTSD. 2) Depression: lower educational attainment and past 12-month discrimination were each associated with the increased odds of depression, while greater resilience was associated with the reduced odds of depression. 3) Anxiety: low annual household income and past 12-month discrimination were each associated with the increased odds of anxiety, while resilience was associated with the reduced odds of anxiety. 4) NSSI: past 12-month discrimination was associated with the increased odds of past 12-month NSSI, while higher age and greater resilience was associated with the reduced odds of NSSI (all p-values < 0.05). Conclusions Unemployment, low income, limited education, everyday discrimination, and violence were risk factors for poor mental health, while being in a relationship, higher age, and personal resilience were protective against mental health morbidity. Findings highlight the need for interventions to address the individual, interpersonal, and societal factors that may be driving poor mental health in this population.http://link.springer.com/article/10.1186/s12888-018-2008-0TransgenderMental healthDiscriminationResilienceViolence
spellingShingle Michal J. McDowell
Jaclyn M. W. Hughto
Sari L. Reisner
Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults
BMC Psychiatry
Transgender
Mental health
Discrimination
Resilience
Violence
title Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults
title_full Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults
title_fullStr Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults
title_full_unstemmed Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults
title_short Risk and protective factors for mental health morbidity in a community sample of female-to-male trans-masculine adults
title_sort risk and protective factors for mental health morbidity in a community sample of female to male trans masculine adults
topic Transgender
Mental health
Discrimination
Resilience
Violence
url http://link.springer.com/article/10.1186/s12888-018-2008-0
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