Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions

Clark, Ian D.; Stucky, Benjamin; Azza, Yasmine; Schwab, Patrick; Weibel, Daniel Eduardo; Button, Daniel; Karlen, Walter; Seifritz, Erich; Kleim, Birgit; Landolt, Hans‐Peter

doi:10.1080/07420528.2021.1941074

Cited by 4 publications

(3 citation statements)

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“…Studies investigating sleep structure in human night shift workers are limited, although there are indications that sleep structure might be affected in addition to sleep duration, in particular in night shift workers who experience fatigue (Gorlova et al, 2019). The development of multisensory trackers (such as commercially available health trackers) might allow more feasibility of studies into sleep architecture in night shift workers in the future (Clark et al, 2021). Another limitation of this is that all mice were exposed to the rotating bar and thus TSR.…”

Section: Discussionmentioning

confidence: 99%

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53^R270H©/+WAPCre Mouse Model for Breast Cancer

et al. 2023

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Epidemiological studies associate night shift work with increased breast cancer risk. However, the underlying mechanisms are not clearly understood. To better understand these mechanisms, animal models that mimic the human situation of different aspects of shift work are needed. In this study, we used “timed sleep restriction” (TSR) cages to simulate clockwise and counterclockwise rotating shift work schedules and investigated predicted sleep patterns and mammary tumor development in breast tumor–prone female p53R270H©/+ WAPCre mice. We show that TSR cages are effective in disturbing normal activity and estimated sleep patterns. Although circadian rhythms were not shifted, we observed effects of the rotating schedules on sleep timing and sleep duration. Sleep loss during a simulated shift was partly compensated after the shift and also partly during the free days. No effects were observed on body weight gain and latency time of breast cancer development. In summary, our study shows that the TSR cages can be used to model shift work in mice and affect patterns of activity and sleep. The effect of disturbing sleep patterns on carcinogenesis needs to be further investigated.

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Section: Discussionmentioning

confidence: 99%

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53^R270H©/+WAPCre Mouse Model for Breast Cancer

et al. 2023

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“…We manually adjusted the S on and S off times to be delineated by the first and last occurring stages of sleep rather than including stages of wake at the border of sleep. In a large Fitbit data set collected in 89 individuals for 1 month capturing roughly 3000 sleep episodes [ 42 ], 69.8% of all sleep episodes in the first stage after S on and in 50% of all cases, the last stage before S off was not coded as a sleep stage. In other words, an appreciable proportion of Fitbit sleep episodes are bookended by a stage of wake.…”

Section: Discussionmentioning

confidence: 99%

Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study

Stucky¹,

Clark²,

Azza³

et al. 2021

J Med Internet Res

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Background Multisensor fitness trackers offer the ability to longitudinally estimate sleep quality in a home environment with the potential to outperform traditional actigraphy. To benefit from these new tools for objectively assessing sleep for clinical and research purposes, multisensor wearable devices require careful validation against the gold standard of sleep polysomnography (PSG). Naturalistic studies favor validation. Objective This study aims to validate the Fitbit Charge 2 against portable home PSG in a shift-work population composed of 59 first responder police officers and paramedics undergoing shift work. Methods A reliable comparison between the two measurements was ensured through the data-driven alignment of a PSG and Fitbit time series that was recorded at night. Epoch-by-epoch analyses and Bland-Altman plots were used to assess sensitivity, specificity, accuracy, the Matthews correlation coefficient, bias, and limits of agreement. Results Sleep onset and offset, total sleep time, and the durations of rapid eye movement (REM) sleep and non–rapid-eye movement sleep stages N1+N2 and N3 displayed unbiased estimates with nonnegligible limits of agreement. In contrast, the proprietary Fitbit algorithm overestimated REM sleep latency by 29.4 minutes and wakefulness after sleep onset (WASO) by 37.1 minutes. Epoch-by-epoch analyses indicated better specificity than sensitivity, with higher accuracies for WASO (0.82) and REM sleep (0.86) than those for N1+N2 (0.55) and N3 (0.78) sleep. Fitbit heart rate (HR) displayed a small underestimation of 0.9 beats per minute (bpm) and a limited capability to capture sudden HR changes because of the lower time resolution compared to that of PSG. The underestimation was smaller in N2, N3, and REM sleep (0.6-0.7 bpm) than in N1 sleep (1.2 bpm) and wakefulness (1.9 bpm), indicating a state-specific bias. Finally, Fitbit suggested a distribution of all sleep episode durations that was different from that derived from PSG and showed nonbiological discontinuities, indicating the potential limitations of the staging algorithm. Conclusions We conclude that by following careful data processing processes, the Fitbit Charge 2 can provide reasonably accurate mean values of sleep and HR estimates in shift workers under naturalistic conditions. Nevertheless, the generally wide limits of agreement hamper the precision of quantifying individual sleep episodes. The value of this consumer-grade multisensor wearable in terms of tackling clinical and research questions could be enhanced with open-source algorithms, raw data access, and the ability to blind participants to their own sleep data.

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“…The possibility of monitoring sleep passively, continuously, and unobtrusively through simple objects of everyday usage (chest, wristband, rings, etc.) opened the way to a new era of sleep research characterized by longer-term and larger-scale research designs (e.g., Clark et al, 2021;Stucky et al, 2021). For instance, Willoughby et al (2023) were able to investigate sleep differences (e.g., duration, timing, variability, and social jetlag) across 35 countries by accessing and analyzing over 50 million night's sleep data from over 200,000 unique Oura Ring users (242 nights per user, on average).…”

Section: Consumer-grade Wearable Sleep Trackersmentioning

confidence: 99%

Is it Time to Include Wearable Sleep Trackers in the Applied Psychologists’ Toolbox?

Menghini,

Balducci,

de Zambotti

2024

Span. J. Psychol.

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Wearable sleep trackers are increasingly used in applied psychology. Particularly, the recent boom in the fitness tracking industry has resulted in a number of relatively inexpensive consumer-oriented devices that further enlarge the potential applications of ambulatory sleep monitoring. While being largely positioned as wellness tools, wearable sleep trackers could be considered useful health devices supported by a growing number of independent peer-reviewed studies evaluating their accuracy. The inclusion of sensors that monitor cardiorespiratory physiology, diurnal activity data, and other environmental signals allows for a comprehensive and multidimensional approach to sleep health and its impact on psychological well-being. Moreover, the increasingly common combination of wearable trackers and experience sampling methods has the potential to uncover within-individual processes linking sleep to daily experiences, behaviors, and other psychosocial factors. Here, we provide a concise overview of the state-of-the-art, challenges, and opportunities of using wearable sleep-tracking technology in applied psychology. Specifically, we review key device profiles, capabilities, and limitations. By providing representative examples, we highlight how scholars and practitioners can fully exploit the potential of wearable sleep trackers while being aware of the most critical pitfalls characterizing these devices. Overall, consumer wearable sleep trackers are increasingly recognized as a valuable method to investigate, assess, and improve sleep health. Incorporating such devices in research and professional practice might significantly improve the quantity and quality of the collected information while opening the possibility of involving large samples over representative time periods. However, a rigorous and informed approach to their use is necessary.

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Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions

Abstract: Diurnal variations in multi-sensor wearable-derived sleep characteristics in morningand evening-type shift workers under naturalistic conditions, Chronobiology International,

Cited by 4 publications

References 30 publications

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53^R270H©/+WAPCre Mouse Model for Breast Cancer

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53^R270H©/+WAPCre Mouse Model for Breast Cancer

Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study

Is it Time to Include Wearable Sleep Trackers in the Applied Psychologists’ Toolbox?

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Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions

Abstract: Diurnal variations in multi-sensor wearable-derived sleep characteristics in morningand evening-type shift workers under naturalistic conditions, Chronobiology International,

Cited by 4 publications

References 30 publications

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53R270H©/+WAPCre Mouse Model for Breast Cancer

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53R270H©/+WAPCre Mouse Model for Breast Cancer

Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study

Is it Time to Include Wearable Sleep Trackers in the Applied Psychologists’ Toolbox?

Contact Info

Product

Resources

About

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53^R270H©/+WAPCre Mouse Model for Breast Cancer

Impact of Simulated Rotating Shift Work on Mammary Tumor Development in the p53^R270H©/+WAPCre Mouse Model for Breast Cancer