# Effects of a telehealth exercise program for rural cancer survivors with cancer-related fatigue including integrated longitudinal assessments of objective physical function and fatty acid oxidation > **NIH NIH R01** · UNIVERSITY OF COLORADO DENVER · 2024 · $594,734 ## Abstract PROJECT ABSTRACT Cancer-related fatigue (CRF) is one of the most common and functionally limiting symptoms reported by cancer survivors. While no standard of care exists for CRF management, clinically supervised exercise is one of the best-known interventions for CRF. Exercise prescription (ExRx) for survivors, however, is currently guideline- driven, lacking personalization and limiting overall efficacy. Rural cancer survivors experience poor health outcomes, including increased risk of CRF, have limited access to clinical exercise programs, and stand to benefit from improved ExRx personalization. The long-term goal of this investigation is to develop an effective telehealth exercise program for rural cancer survivors with CRF. While many investigations of interventions for rural survivors focus on the implementation of established services, this proposal utilizes innovative accessible methodology to integrate assessments of exercise-associated mechanisms of CRF remediation into a clinical efficacy trial. The purpose of these assessments is to provide the foundation for future innovations in improved ExRx personalization, optimizing individual survivor outcomes, and to do so first in an underserved population that stands to benefit from the outcomes. This investigation will be accomplished by pursuing three specific aims. Aim 1 investigates the efficacy of a novel telehealth exercise program for rural cancer survivors with CRF (the BfitBwell Telehealth Program [BfitBwell-TP]) in a randomized control trial. Rural breast and prostate cancer survivors within five years of completing curative treatment and experiencing CRF (N=134) will be recruited into the intervention or wait-list control group. A pilot investigation of BfitBwell-TP demonstrated feasibility, acceptability, and similar reductions in CRF compared to the clinically supervised program upon which it is based. BfitBwell-TP utilizes existing telehealth methodologies to deliver a combination of synchronous and asynchronous exercise sessions paired with CRF monitoring and symptom-triggered ExRx personalization to support CRF improvement. Aim 2 examines the effects of impaired objective physical function and fatty acid oxidation on reduced CRF response to exercise during the intervention with integrated within-program (every two weeks) remote assessments. Both have been associated with fatigue and both can be specifically targeted by ExRx personalization. Recent advances have allowed the remote assessment of objective physical function and the use of remotely collected, stable dried blood spot (DBS) samples in metabolomic analyses of impaired fatty acid oxidation. Finally, Aim 3 explores additional biomarkers of exercise-associated CRF remediation through the investigation of dynamic exercise metabolic profiles established during controlled, laboratory-based exercise sessions. This Aim performs necessary work to provide the foundation for the development of remotely assessed dynamic exercis... ## Key facts - **NIH application ID:** 10942723 - **Project number:** 1R01CA292482-01 - **Recipient organization:** UNIVERSITY OF COLORADO DENVER - **Principal Investigator:** RYAN J MARKER - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $594,734 - **Award type:** 1 - **Project period:** 2024-09-01 → 2029-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10942723 ## Citation > US National Institutes of Health, RePORTER application 10942723, Effects of a telehealth exercise program for rural cancer survivors with cancer-related fatigue including integrated longitudinal assessments of objective physical function and fatty acid oxidation (1R01CA292482-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10942723. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*