# Developing, implementing, and evaluating a mixed-methods community-based participatory research sleep intervention in families with K-1st grade children living on the Blackfeet Indian Reservation

> **NIH NIH K01** · MONTANA STATE UNIVERSITY - BOZEMAN · 2021 · $153,359

## Abstract

Candidate: The overall goal of this K01 career development proposal is to provide me with the
research and training needed to become a leader in the field of sleep intervention and health
disparities research in American Indian (AI) populations. As my work has moved in to studying child sleep,
it is clear that sleep intervention research is severely lacking. In addition, there are no studies that have been
done in any AI community. My preliminary work on the Blackfeet reservation has shown that children do not
get enough nightly sleep. These findings helped shape the direction for this K01 proposal to develop a novel
sleep intervention grounded in cultural values to improve total sleep time (TST) in families that have children in
the K-1st grade. The K01 research and training fulfills defined missions of the NHLBI by understanding sleep
disparities and investigating factors that account for differences in a high risk, underserved AI community, and
fostering the training of an AI investigator on a trajectory to becoming an independently funded researcher. My
training will be targeted to two key areas (among others): 1) sleep and 2) training in mixed-methods research
and randomized controlled trials with mentoring from local and national content experts. I will also enhance my
understanding in two areas related to sleep: nutrition and stress/trauma. Developing and pilot-testing
community-based sleep strategies grounded in AI cultural values, in combination with my training plan, will
uniquely position me for a successful independent research career in sleep intervention research with
underserved populations. Collectively, this K01 award will position me to develop an R01 proposal.
Environment: The mentoring committee for this proposed K01 award is structured to support my research and
training in sleep, nutrition, stress, mixed-methods research, accelerometry, and using social media for
intervention delivery. Each mentor has extensive mentoring experience and content expertise in critical
aspects of the research and training proposal. The Center for American Indian and Rural Health Equity
(CAIRHE) has provided me with start-up funds, office laboratory space, IT support, statistical support, and 9
months of protected research time each year. In addition, Montana State University is committed to developing
AI faculty and research with a number of institutes and centers that support health and biomedical research,
including CAIRHE (NIH P20GM104417); the Montana IDeA Network of Biomedical Research Excellence, or
INBRE (NIH P20GM103474); the American Indian/Alaska Native Clinical and Translational Research Program
(NIH U54GM115371) among others. CAIRHE, where my office is located, provides an ideal environment for
conducting community-based participatory research in tribal communities throughout Montana with resources,
personnel, and expertise housed within the center. CAIRHE and other MSU research centers house several
senior internal researchers with ...

## Key facts

- **NIH application ID:** 10129422
- **Project number:** 5K01HL146993-02
- **Recipient organization:** MONTANA STATE UNIVERSITY - BOZEMAN
- **Principal Investigator:** Vernon Matthew Grant
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $153,359
- **Award type:** 5
- **Project period:** 2020-04-01 → 2025-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10129422

## Citation

> US National Institutes of Health, RePORTER application 10129422, Developing, implementing, and evaluating a mixed-methods community-based participatory research sleep intervention in families with K-1st grade children living on the Blackfeet Indian Reservation (5K01HL146993-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10129422. Licensed CC0.

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