Publications
Updated: 2026-03-22
A randomized pilot sleep and circadian behavior clinical trial to improve glycemic and psychological outcomes in young adults with type 1 diabetes (NCT04975230)
Armentrout, B. L., Wenzell, M. L., Strohl, K. P., Crawford, S. L., Wood, J. R., Li, C. R., Hickman, R. L., Jr, & Griggs, S. A. (2025). Diabetes & Metabolic Syndrome, 19(9), 103305. https://doi.org/10.1016/j.dsx.2025.103305
Abstract
To investigate the preliminary efficacy of a cognitive behavioral sleep and circadian intervention on glycemic and psychological outcomes in young adults with type 1 diabetes.
A Randomized Pilot Cognitive Behavioral Sleep Health Trial for Young Adults with Type 1 Diabetes
Griggs, S., Howard, Q., Armentrout, B. L., Pignatiello, G. A., Strohl, K. P., Crawford, S. L., Li, C. R., Leuchtag, M., & Hickman, R. L. (2025). Behavioral Sleep Medicine, 23(5), 685-697. https://doi.org/10.1080/15402002.2025.2522680
Abstract
The purpose of this randomized controlled trial was to determine whether a cognitive-behavioral sleep health self-management intervention (CB-Sleep Health) would be more effective than a time-balanced attention control (AC) condition in improving multiple dimensions of sleep health (self-reported and objectively derived).
Body-Wide Expression Profiles of Commonly Assessed Cardiac Biomarkers in a Large Cohort of Human Tissue Donors
O'Connell, G. C., Smothers, C. G., Wang, J., & Armentrout, B. L. (2025). Cardiology, 1-17. Advance online publication. https://doi.org/10.1159/000547289
Abstract
Blood biomarkers of myocardial damage or stress are routinely used to guide the diagnosis and management of both acute and chronic cardiac conditions. The circulating levels of these proteins are directly influenced by source tissue expression levels, and understanding where and to what degree they are expressed throughout the body can yield insights into their properties as biomarkers. Thus, in this descriptive study, we sought to comprehensively map the expression of twelve clinically established or emerging cardiac biomarkers across a broad spectrum of human tissues and comparatively assess expression characteristics that could impact diagnostic performance.
Emotional Distress and Cardiovascular Health in Young Adults with Type 1 Diabetes
Armentrout, B. L., Ahmed, B. H., Waraphok, S., Huynh, J., & Griggs, S. (2024). Journal of Cardiovascular Development and Disease, 11(12), 391. https://doi.org/10.3390/jcdd11120391
Abstract
Type 1 diabetes (T1D) is a complex chronic condition that places young adults aged 18-31 years at high risk for general and diabetes-related distress and poor cardiovascular health. Both general and diabetes distress are linked to higher A1C, a known risk factor for cardiovascular disease (CVD). The purpose of this cross-sectional quantitative descriptive study was to examine the associations between distress symptoms (general and diabetes) and cardiovascular health while considering covariates in young adults ages 18-31 years with T1D.
Sleep Health Composite and Diabetes Symptom Burden in Young Adults With Type 1 Diabetes
Griggs S, Armentrout BL, Horvat Davey C, Hickman RL. Western Journal of Nursing Research. 2024;46(11):919-927. doi:10.1177/01939459241287455
Abstract
Multiple individual sleep health dimensions (satisfaction, regularity, and duration) are associated with diabetes symptoms, precursors to micro-and macrovascular complications, among young adults with type 1 diabetes mellitus (T1DM). Nearly half of young adults with T1DM develop vascular complications; however, modifiable contributors of diabetes symptoms, including sleep health, have been understudied.
Brain Expression Levels of Commonly Measured Blood Biomarkers of Neurological Damage Differ with Respect to Sex, Race, and Age.
O'Connell, G. C., Smothers, C. G., Wang, J., Ruksakulpiwat, S., & Armentrout, B. L. (2024). Neuroscience, 551, 79-93. https://doi.org/10.1016/j.neuroscience.2024.05.017
Abstract
It is increasingly evident that blood biomarkers have potential to improve the diagnosis and management of both acute and chronic neurological conditions. The most well-studied candidates, and arguably those with the broadest utility, are proteins that are highly enriched in neural tissues and released into circulation upon cellular damage. It is currently unknown how the brain expression levels of these proteins is influenced by demographic factors such as sex, race, and age. Given that source tissue abundance is likely a key determinant of the levels observed in the blood during neurological pathology, understanding such influences is important in terms of identifying potential clinical scenarios that could produce diagnostic bias. In this study, we leveraged existing mRNA sequencing data originating from 2,642 normal brain specimens harvested from 382 human donors to examine potential demographic variability in the expression levels of genes which code for 28 candidate blood biomarkers of neurological damage.
Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts.
O'Connell, G. C., Walsh, K. B., Smothers, C. G., Ruksakulpiwat, S., Armentrout, B. L., Winkelman, C., Milling, T. J., Warach, S. J., & Barr, T. L. (2022). BMC Neurology, 22(1), 206. https://doi.org/10.1186/s12883-022-02726-x
Abstract
The development of tools that could help emergency department clinicians recognize stroke during triage could reduce treatment delays and improve patient outcomes. Growing evidence suggests that stroke is associated with several changes in circulating cell counts. The aim of this study was to determine whether machine-learning can be used to identify stroke in the emergency department using data available from a routine complete blood count with differential.