Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology.
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2022-06
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Abstract
Circadian misalignment, as occurs in shiftwork, is associated with numerous negative health outcomes. Here, we sought to improve data labeling accuracy from wearable technology using a novel data pre-processing algorithm in 27 police trainees during shiftwork. Secondarily, we explored changes in four metabolic salivary biomarkers of circadian rhythm during shiftwork. Using a two-group observational study design, participants completed in-class training during dayshift for 6 weeks followed by either dayshift or nightshift field-training for 6 weeks. Using our novel algorithm, we imputed labels of circadian misaligned sleep episodes that occurred during daytime, which were previously were mislabeled as non-sleep by Garmin, supported by algorithm performance analysis. We next assessed changes to resting heart rate and sleep regularity index during dayshift versus nightshift field-training. We also examined changes in field-based assessments of salivary cortisol, uric acid, testosterone, and melatonin during dayshift versus nightshift. Compared to dayshift, nightshift workers experienced larger changes to resting heart rate, sleep regularity index (indicating reduced sleep regularity), and alterations in sleep/wake activity patterns accompanied by blunted salivary cortisol. Salivary uric acid and testosterone did not change. These findings show wearable technology combined with specialized data pre-processing can be used to monitor changes in behavioral patterns during shiftwork.
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Erickson, Melissa L, Will Wang, Julie Counts, Leanne M Redman, Daniel Parker, Janet L Huebner, Jessilyn Dunn, William E Kraus, et al. (2022). Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology. Journal of biological rhythms, 37(3). pp. 260–271. 10.1177/07487304221087068 Retrieved from https://hdl.handle.net/10161/25719.
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Scholars@Duke
![Parker](https://scholars.duke.edu/profile-images/thumbnail200/0717110.jpg)
Daniel Christopher Parker
My clinical and research interests center on the development and use of disease-modifying treatments for Alzheimer's disease and related dementias (ADRD). I am a regional leader in the use of amyloid targeted therapies (ATT), including lecanemab and donanemab, for the treatment of early Alzheimer's disease. I serve as director of the Duke Memory Disorders Clinic.
![Dunn](https://scholars.duke.edu/profile-images/thumbnail200/0391498.jpg)
Jessilyn Dunn
Developing new tools and infrastructure for multi-modal biomedical data integration to drive precision/personalized methods for early detection, intervention, and prevention of disease.
![Kraus](https://scholars.duke.edu/profile-images/thumbnail200/0078469.jpg)
William Erle Kraus
My training, expertise and research interests range from human integrative physiology and genetics to animal exercise models to cell culture models of skeletal muscle adaptation to mechanical stretch. I am trained clinically as an internist and preventive cardiologist, with particular expertise in preventive cardiology and cardiac rehabilitation. My research training spans molecular biology and cell culture, molecular genetics, and integrative human exercise physiology and metabolism. I practice as a preventive cardiologist with a focus on cardiometabolic risk and exercise physiology for older athletes. My research space has both a basic wet laboratory component and a human integrative physiology one.
One focus of our work is an integrative physiologic examination of exercise effects in human subjects in clinical studies of exercise training in normal individuals, in individuals at risk of disease (such as pre-diabetes and metabolic syndrome; STRRIDE), and in individuals with disease (such as coronary heart disease, congestive heart failure and cancer).
A second focus of my research group is exploration of genetic determinates of disease risk in human subjects. We conduct studies of early onset cardiovascular disease (GENECARD; CATHGEN), congestive heart failure (HF-ACTION), peripheral arterial disease (AMNESTI), and metabolic syndrome. We are exploring analytic models of predicting disease risk using established and innovative statistical methodology.
A third focus of my group’s work is to understand the cellular signaling mechanisms underlying the normal adaptive responses of skeletal muscle to physiologic stimuli, such as occur in exercise conditioning, and to understand the abnormal maladaptive responses that occur in response to pathophysiologic stimuli, such as occur in congestive heart failure, aging and prolonged exposure to microgravity.
Recently we have begun to investigate interactions of genes and lifestyle interventions on cardiometabolic outcomes. We have experience with clinical lifestyle intervention studies, particularly the contributions of genetic variants to interventions responses. We call this Lifestyle Medicopharmacogenetics.
KEY WORDS:
exercise, skeletal muscle, energy metabolism, cell signaling, gene expression, cell stretch, heart failure, aging, spaceflight, human genetics, early onset cardiovascular disease, lifestyle medicine
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