Development of the Physical Activity Tracking Preference Questionnaire

International Journal of Exercise Science 12(5): 297-309, 2019. The present study aims to develop the Physical Activity Tracking Preference Questionnaire (PATPQ), a measure of unit (distance, steps, calories, minutes) preference for tracking physical activity. The PATPQ was developed in two phases. During Phase One, the initial PATPQ was created (24 items), was assessed by an expert panel for face validity, and tested in 557 adults. Results were used to revise and modify the PATPQ. In Phase Two, the item pool was expanded and tested in 374 adults. Kuder‐Richardson Formula 20 scores for internal consistency and interclass correlations for test-retest reliability were calculated. Internal consistency for the final questionnaire was 0.78, 0.79, 0.89 and 0.69 for the distance, steps, calories, and minutes components, respectively. Test-retest reliability coefficients were within acceptable ranges (0.65-0.75). Overall, the PATPQ can be used to identify individual preferences for tracking physical activity to help personalize exercise programs

Beyond the Binary: Differences in Eating Disorder Prevalence by Gender Identity in a Transgender Sample

Abstract Purpose: To investigate whether the prevalence of eating disorders (EDs) differs across diverse gender identity groups in a transgender sample. Methods: Secondary analysis of data from Project VOICE, a cross-sectional study of stress and health among 452 transgender adults (ages 18–75 years) residing in Massachusetts. Age-adjusted logistic regression models were fit to compare the prevalence of self-reported lifetime EDs in female-to-male (FTM), male-to-female (MTF), and gender-nonconforming participants assigned male at birth (MBGNC) to gender-nonconforming participants assigned female at birth (FBGNC; referent). Results: The age-adjusted odds of self-reported ED in MTF participants were 0.14 times the odds of self-reported ED in FBGNC participants (p=0.022). In FTM participants, the age-adjusted odds of self-reported ED were 0.46 times the odds of self-reported ED in FBGNC participants, a marginally significant finding (p=0.068). No statistically significant differences in ED prevalence were found for MBGNC individuals. Conclusions: Gender nonconforming individuals assigned a female sex at birth appear to have heightened lifetime risk of EDs relative to MTF participants. Further research into specific biologic and psychosocial ED risk factors and gender-responsive intervention strategies are urgently needed. Training clinical providers and ensuring competency of treatment services beyond the gender binary will be vital to addressing this disparity

HIV prevention and HIV care among transgender and gender diverse youth: design and implementation of a multisite mixed-methods study protocol in the U.S.

Abstract Background In the U.S., transgender and gender diverse (TGD) populations face structural, interpersonal, and individual barriers to healthcare. Less is known, however, about the HIV prevention and treatment experiences of TGD youth in the U.S. The current study was developed to fill this research gap. Methods This article describes the research protocol for a multi-site, U.S.-based mixed-methods study that sought to identify the multi-level facilitators and barriers that influence participation of TGD youth in various stages of the HIV prevention (e.g., pre-exposure prophylaxis uptake) and care continua. A sample of diverse TGD youth ages 16–24 was recruited from 14 U.S. sites. TGD youth participants completed a one-time, in-person visit that included an informed consent process, computer-based quantitative survey, and in-depth qualitative interview assessing experiences accessing HIV prevention and/or care services. Providers serving TGD youth were recruited from the same 14 sites and completed a one-time visit via phone that included informed consent, demographic questionnaire, and in-depth qualitative interview assessing their experiences providing HIV prevention or treatment services to TGD youth. Results Overall, 186 TGD youth ages 16–24 and 59 providers serving TGD youth were recruited and enrolled from across the 14 U.S. sites. TGD youth participants had a mean age of 20.69; 77.3% youth of color; 59.7% trans-feminine; 15.5% trans-masculine; 24.9% non-binary; 53.6% family income under poverty level. Providers included medical and mental health providers as well as case manager/care coordinators, HIV test counselors, and health educators/outreach workers. Providers were 81.3% cisgender and 30.5% people of color. Successes with community-engagement strategies and gender-affirming research methods are reported. Conclusions This study addresses critical gaps in current knowledge about the HIV prevention and care experiences of TGD youth. Findings have implications for the development of HIV interventions across levels to support the health and well-being of TGD youth. Future research is warranted to replicate and expand on lessons learned regarding recruitment and engagement of communities of TGD youth, including longitudinal designs to assess engagement across their developmental stages. Lessons learned working with TGD youth through developing and implementing the study protocol are shared. Trial registration Registered on ClinicalTrials.gov on 05/20/2015 (NCT02449629).https://deepblue.lib.umich.edu/bitstream/2027.42/152132/1/12889_2019_Article_7605.pd

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

BackgroundIn 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.MethodsThe 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.ResultsOverall, 40.9% identified their gender identity as non-binary. Non-binary respondents significantly differed from binary respondents on (all pConclusionGender 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

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 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

Prevalence and co-occurrence of alcohol, nicotine, and other substance use disorder diagnoses among us transgender and cisgender adults.

Importance: Substance use disorders are a major source of morbidity and mortality in the United States. National data comparing the prevalence of substance use disorder diagnoses (SUDDs) among transgender and cisgender individuals are lacking in the United States. Objectives: To investigate the prevalence of SUDDs among transgender and cisgender adults and to identify within-group and between-group differences by age, gender, and geographic location. Design, Setting, and Participants: This cross-sectional study used the OptumLabs Data Warehouse to analyze deidentified claims from approximately 74 million adults aged 18 years or older enrolled in commercial or Medicare Advantage insurance plans in 2017. A total of 15 637 transgender adults were identified based on a previously developed algorithm using a combination of International Classification of Diseases, Tenth Revision (ICD-10) transgender-related diagnosis and procedure codes and sex-discordant hormone prescriptions. A cohort of 46 911 cisgender adults was matched to the transgender cohort in a 3:1 ratio based on age and geographic location. Main Outcomes and Measures: SUDDs, based on ICD-10 codes, were assessed overall and compared between transgender and cisgender cohorts and by geographic region (ie, Northeast, Midwest, South, and West); age groups (eg, 18-25, 26-30, 31-35 years), and gender (ie, transfeminine [TF; assigned male sex at birth, identify along feminine gender spectrum], transmasculine [TM; assigned female sex at birth, identify along masculine gender spectrum], male, and female). Results: In this study of 15 637 transgender adults (4955 [31.7%] TM) and 46 911 cisgender adults (23 664 [50.4%] men), most (8627 transgender adults [55.2%]; 51 762 cisgender adults [55.2%]) were aged between 18 and 40 years, and 6482 transgender adults (41.5%) and 19 446 cisgender adults (41.5%) lived in the South. Comparing transgender to cisgender groups, significant differences were found in the prevalence of a nicotine (2594 [16.6%] vs 2551 [5.4%]; P < .001), alcohol (401 [2.6%] vs 438 [0.9%]; P < .001), and drug (678 [4.3%] vs 549 [1.2%]; P < .001) SUDDs. Among transgender adults, cannabis was the most prevalent drug SUDD (321 [2.1%]), followed by opioid SUDD (205 [1.3%]) and cocaine SUDD (81 [0.5%]), whereas among cisgender adults, cannabis and opioid SUDDs were equally prevalent (cannabis, 186 [0.4%]; opioid, 207 [0.4%]), followed by cocaine SUDD (59 [0.1%]). Conclusions and Relevance: In this study, the prevalence of SUDDs was significantly elevated among transgender adults relative to their cisgender peers. These findings underscore the need for culturally tailored clinical interventions to treat substance use disorder in transgender populations

The provision of counseling to patients receiving medications for opioid use disorder: Telehealth innovations and challenges in the age of COVID-19.

Historically, federal and state policies have narrowly defined treatment models that have resulted in limited access to and engagement in counseling for individuals receiving medications for opioid use disorder (MOUD; e.g., methadone and buprenorphine). In response to the coronavirus pandemic, outpatient MOUD treatment providers rapidly transitioned from traditional, in-person care delivery models to revised COVID-19 protocols that prioritized telehealth counseling to protect the health of patients and staff and ensure continuity in MOUD care. These telehealth innovations appear to mitigate many of the longstanding barriers to counseling in the traditional system and have the potential to forever alter MOUD care delivery. Drawing on data from a Rhode Island-based clinic, we argue that MOUD counseling is achievable via telehealth and outline the need for, and anticipated benefits of, hybrid telehealth/in-person MOUD treatment models moving forward