# Enhancing Wellness and Resilience for Biomedical Research Training at UND

> **NIH NIH T34** · UNIVERSITY OF NORTH DAKOTA · 2021 · $85,457

## Abstract

Enhancing Wellness and Resilience in Undergraduate Biomedical Research Training at UND
The goal of this supplemental funding request is to develop training sessions and modules to enhance
the wellness and resilience of MARC U-STAR trainees at the University of North Dakota (UND).
Curricula and training sessions will be designed to help the students acquire stress management skills
that demonstrate improved resilience and reduced anxiety. The sessions are planned to help the
trainees adapt to adversity or when they are experiencing anxiety, stress or other challenges. We will
build resilience and wellness by focusing on self-care skills. Training sessions will be based upon Birds’
(2020) curriculum to teach resilience with wellness coaching led by our behavioral research team to
reduce anxiety and depression. The sessions will enable students to develop a plan to sustain wellness
beyond the specific training sessions. Evaluation results obtained from the trainees will be summarized
so recommendations for improvement of the training modules and curricular materials can be made.
The overall impact of this work, will be based upon positive evaluations of improved resilience and
decreased anxiety or depression levels of UND students.

## Key facts

- **NIH application ID:** 10393170
- **Project number:** 3T34GM122835-05S1
- **Recipient organization:** UNIVERSITY OF NORTH DAKOTA
- **Principal Investigator:** GLENDA N LINDSETH
- **Activity code:** T34 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $85,457
- **Award type:** 3
- **Project period:** 2017-06-01 → 2023-05-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10393170

## Citation

> US National Institutes of Health, RePORTER application 10393170, Enhancing Wellness and Resilience for Biomedical Research Training at UND (3T34GM122835-05S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10393170. Licensed CC0.

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