Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology

Erickson, Melissa L.; Wang, Will; Counts, Julie; Redman, Leanne M.; Parker, Daniel; Huebner, Janet L.; Dunn, Jessilyn; Kraus, William E.

doi:10.1177/07487304221087068

Cited by 8 publications

(13 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…No difference in testosterone levels was found between shift and non-shift workers in a study demonstrating poorer erectile function in men who work night shifts [ 39 ]. No changes in salivary testosterone levels were found in 13 nightshift workers compared to 14 dayshift workers [ 66 ]. Recently, it was found that mimed shiftwork in rats reduced diurnal fluctuations of serum testosterone, and this was related to alterations in the transcription of the clock genes and mitochondria function induced by circadian desynchrony in Leydig cells [ 67 ].…”

Section: Discussionmentioning

confidence: 99%

Alterations in Pregnenolone and Testosterone Levels in Male Shift Workers

Bracci

Zingaretti

Martelli

et al. 2023

IJERPH

View full text Add to dashboard Cite

Steroid hormone levels are closely related to the endogenous circadian rhythm induced by sleep–wake and dark–light cycles. Shift work that disrupts the circadian rhythm may influence the levels of steroid hormones. The association between shift work and alterations in female sex steroid hormone levels has been studied, but little is known about testosterone and its precursor pregnenolone levels in male shift workers. The present study investigated serum pregnenolone and testosterone levels in a group of shift and daytime male workers. All participants were sampled at the beginning of the morning shift. Lower levels of serum pregnenolone and total testosterone were found in the shift workers compared to the daytime workers. Variations in pregnenolone levels may have consequences for well-being, and they might produce consequences for the levels of hormones downstream of the steroid hormone cascade, such as testosterone. The low levels of testosterone found in shift workers demonstrate the perturbative effect of shift work on testosterone serum levels, which may be independent and/or related to pregnenolone synthesis.

show abstract

Section: Discussionmentioning

confidence: 99%

Alterations in Pregnenolone and Testosterone Levels in Male Shift Workers

Bracci

Zingaretti

Martelli

et al. 2023

IJERPH

View full text Add to dashboard Cite

show abstract

“…A recent study found that the Garmin TM Vivosmart HR device (Garmin, Olathe, KS, USA) was not able to detect daytime sleep episodes in police trainees when they switched from working day shifts (sleeping at night) to working night shifts (primarily sleeping during the daytime). 31 Additionally, a study with a previous-generation Fitbit device (Charge HR model) found that in a group of young athletes most of the daytime sleep episodes were missed, especially shorter naps with TIB of 1 or 2 h. 32 Finally, a study using a since-discontinued Jawbone device found that it could not reliably record sleep during daytime nap episodes in a multiple sleep latency test protocol. 33 In contrast, a recent study of the WHOOP TM strap device (WHOOP, Boston, MA, USA) under a controlled laboratory setting compared with PSG tested daytime sleep episodes, with a 7-h fixed TIB occurring in the afternoon-evening with an analysis of its auto-detection sleep-tracking feature.…”

Section: Discussionmentioning

confidence: 99%

“…It is likely that studies or initiatives to use wearables to track sleep patterns or promote sleep health in groups such as shift workers will suffer from low compliance or adoption if devices do not first demonstrate good performance for detecting naps or sleep episodes across the 24-h day. 36 Research-grade actigraphy traditionally has been used for real-world tracking of sleep across the day and night in clinical and operational populations, but newer multi-sensor commercial wearable devices with their proprietary algorithms (or customized research algorithms for sleep or circadian rhythm tracking using data from wearables 31,[37][38][39] ) theoretically could surpass standard actigraphy algorithms for daytime sleep tracking. This enhanced performance is necessary since actigraphy, which typically contains an accelerometry sensor input only, is often overly sensitive to classifying naps during times of sedentary activity.…”

Section: Dovepressmentioning

confidence: 99%

Daytime Sleep-Tracking Performance of Four Commercial Wearable Devices During Unrestricted Home Sleep

Chinoy¹,

Cuellar²,

Jameson³

et al. 2023

NSS

View full text Add to dashboard Cite

Purpose Previous studies have found that many commercial wearable devices can accurately track sleep-wake patterns in laboratory or home settings. However, nearly all previous studies tested devices under conditions with fixed time in bed (TIB) and during nighttime sleep episodes only. Despite its relevance to shift workers and others with irregular sleep schedules, it is largely unknown how devices track daytime sleep. Therefore, we tested the sleep-tracking performance of four commercial wearable devices during unrestricted home daytime sleep. Participants and Methods Participants were 16 healthy young adults (6 men, 10 women; 26.6 ± 4.6 years, mean ± SD) with habitual daytime sleep schedules. Participants slept at home for 1 week under unrestricted conditions (ie, self-selecting TIB) using a set of four commercial wearable devices and completed reference sleep logs. Wearables included the Fatigue Science ReadiBand, Fitbit Inspire HR, Oura Ring, and Polar Vantage V Titan. Daytime sleep episode TIB biases and frequencies of missed and false-positive daytime sleep episodes were examined. Results TIB bias was low in general for all devices on most daytime sleep episodes, but some exhibited large biases (eg, >1 h). Total missed daytime sleep episodes were as follows: Fatigue Science: 3.6%; Fitbit: 4.8%; Oura: 6.0%; Polar: 37.3%. Missed episodes occurred most often when TIB was short (eg, naps <4 h). Conclusion When daytime sleep episodes were recorded, the devices generally exhibited similar performance for tracking TIB (ie, most episodes had low bias). However, the devices failed to detect some daytime episodes, which occurred most often when TIB was short, but varied across devices (especially Polar, which missed over one-third of episodes). Findings suggest that accurate daytime sleep tracking is largely achievable with commercial wearable devices. However, performance differences for missed recordings suggest that some devices vary in reliability (especially for naps), but improvements could likely be made with changes to algorithm sensitivities.

show abstract

“…To partly address this knowledge gap, the human circadian field needs more tools that quantify behavior regularity in field-based settings. Wearable technology and smart phone devices offer promise here, enabling real-world data capture applicable over long durations and scaled up for assessment of human behaviors that are irregular or misaligned during shiftwork, with all of their subsequent downstream negative health consequences [13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

Nightshift Imposes Irregular Lifestyle Behaviors in Police Academy Trainees

Erickson¹,

North

Counts

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Study Objective: Shiftwork increases risk for numerous chronic diseases, which is hypothesized to be linked to disruption of circadian timing of lifestyle behaviors. However, empirical data on timing of lifestyle behaviors in real-world shift workers are lacking. To address this, we characterized the regularity of timing of lifestyle behaviors in shift-working police trainees. Methods: Using a two-group observational study design (N=18), we compared lifestyle behavior timing during 6 weeks of in-class training during dayshift, followed by 6 weeks of field-based training during either dayshift or nightshift. Lifestyle behavior timing, including sleep/wake patterns, physical activity, and meals, was captured using wearable activity trackers and mobile devices. The regularity of lifestyle behavior timing was quantified as an index score, which reflects day-to-day stability on a 24h time scale: Sleep Regularity Index (SRI), Physical Activity Regularity Index (PARI) and Mealtime Regularity Index (MRI). Logistic regression was applied to these indices to develop a composite score, termed the Behavior Regularity Index (BRI). Results: Transitioning from dayshift to nightshift significantly worsened the BRI, relative to maintaining a dayshift schedule. Specifically, nightshift led to more irregular sleep/wake timing and meal timing; physical activity timing was not impacted. In contrast, maintaining a dayshift schedule did not impact regularity indices. Conclusion: Nightshift imposed irregular timing of lifestyle behaviors, which is consistent with the hypothesis that circadian disruption contributes to chronic disease risk in shift workers. How to mitigate the negative impact of shiftwork on human health as mediated by irregular timing of sleep/wake patterns and meals deserves exploration.

show abstract

Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology

Cited by 8 publications

References 33 publications

Alterations in Pregnenolone and Testosterone Levels in Male Shift Workers

Alterations in Pregnenolone and Testosterone Levels in Male Shift Workers

Daytime Sleep-Tracking Performance of Four Commercial Wearable Devices During Unrestricted Home Sleep

Nightshift Imposes Irregular Lifestyle Behaviors in Police Academy Trainees

Contact Info

Product

Resources

About