# A multidimensional investigation of social support for transgender and nonbinary people and its impacts on health and well-being: Measurement development using community engagement

> **NIH NIH R01** · UNIVERSITY OF WISCONSIN-MADISON · 2024 · $773,482

## Abstract

PROJECT SUMMARY/ABSTRACT
Trans and nonbinary (TNB) individuals experience mental and physical health disparities compared to cisgender
peers, such as higher rates of depression and anxiety, increased risk for suicide, substance use and poor
physical health. These disparities are associated with internalized anti-TNB stigma, discriminatory interpersonal
encounters, and systemic and institutional barriers to accessing necessary social, financial, educational, and
health resources, and are exacerbated among TNB People of Color (POC) and those with fewer resources.
Research across populations indicates that social support has multiple beneficial effects, including mitigating
adverse mental health outcomes and promoting well-being. There is a critical need to identify the most effective
types of social support for all TNB individuals, particularly those facing the greatest barriers to societal institutions
and resources. Using community-engaged and innovative approaches to rigorously over-sample TNB POC, we
will identify within-group differences in the specific forms social support that promote health and mitigate risk
across TNB communities. Data from a total of 1299 TNB individuals diverse in race and ethnicity will be collected
across several studies using multiple methods (e.g., qualitative interviews and focus groups; ecological
momentary assessment, longitudinal survey research) to develop and validate a multi-faceted social support
measure and test its function within an intersectional minority stress theory-derived longitudinal model. The
overall objective of this proposed research is to take the critical step toward this long-term goal by advancing
knowledge of social support as a mechanism by which to reduce anxiety, depression, and suicide risk, promote
well-being among TNB individuals, and to develop the measurement tools necessary to investigate their impact
on mental health and well-being over time and in context. This project includes the following three specific aims:
(1) Use community engaged approaches, we will collect data to increase in-depth understanding of how TNB
individuals experience and use social support to address adverse mental health concerns, (2) Develop and
validate a multifaceted measure of social support for TNB individuals for use in research and clinical settings,
and (3) Longitudinally assess the effects of social support in a minority stress model of TNB mental health. Data
( focus groups, individual interviews with community leaders, and daily diary social contacts logs) will be collected
to inform essential domains of social support for TNB people [Aim 1]. This information will be integrated into the
development of a multifaceted social support measure and cutting-edge network-based psychometric analyses
will be used to validate the measure with a sample of 1000 TNB participants [Aim 2]. Longitudinal survey data
from 1000 TNB adults at three time points to test the strength of direct and moderating effects of v...

## Key facts

- **NIH application ID:** 10978749
- **Project number:** 1R01MD018571-01A1
- **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON
- **Principal Investigator:** Stephanie L Budge
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $773,482
- **Award type:** 1
- **Project period:** 2024-08-19 → 2029-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10978749

## Citation

> US National Institutes of Health, RePORTER application 10978749, A multidimensional investigation of social support for transgender and nonbinary people and its impacts on health and well-being: Measurement development using community engagement (1R01MD018571-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10978749. Licensed CC0.

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