Feasibility and acceptability of collecting biobehavioral data from Latinx transgender and nonbinary people

BackgroundLatinx transgender and nonbinary (TGNB) people are at high risk of poor health compared to cisgender (i.e., non-TGNB) people. Most studies about the health of Latinx TGNB people have collected self-reported data. There is an urgent need for inclusion of biobehavioral measures to better understand and target the underlying mechanisms of health disparities among Latinx TGNB people. We conducted the first study to assess the feasibility and acceptability of collecting biobehavioral data that we are aware of in this population.MethodsParticipants were recruited from an existing longitudinal study of TGNB individuals and through outreach to the community. Data collection involved structured surveys, saliva samples, actigraphy, sleep dairies, and blood pressure monitoring. We administered a survey with Likert scale items and open-ended questions to assess the acceptability of our study procedures.ResultsThe sample consisted of 41 Latinx TGNB adults with a mean age of 35.7 (+/- 11.9) years. The majority of participants completed all phases of data collection, demonstrating feasibility of study procedures. Acceptability was overall good, but there were a few exceptions; some participants disliked ambulatory blood pressure monitoring or saliva collection. The open-ended responses on the acceptability survey organized around each aspect of the data collection procedures, and the following additional categories were derived: 1) perceived benefits of participating in research, 2) interest in receiving individual data, and 3) the importance of TGNB cultural awareness for study staff.ConclusionsThis study is one of the first to demonstrate the feasibility and acceptability of collecting biobehavioral data with Latinx TGNB people. Biobehavioral research can help to illuminate mechanisms underlying the substantial health disparities experienced by this multiply minoritized group. Future research with this population should consider augmenting self-reported data by including biobehavioral measures relevant for the research question.