Digital circadian and sleep health in individual hospital shift workers: A cross sectional telemonitoring study

Telemonitoring of circadian and sleep cycles could identify shift workers at increased risk of poor health, including cancer and cardiovascular diseases, thus supporting personalized prevention. The Circadiem cross-sectional study aimed at determining early warning signals of risk of health alterati...

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Published in:EBioMedicine 2022-07, Vol.81, p.104121, Article 104121
Main Authors: Zhang, Yiyuan, Cordina-Duverger, Emilie, Komarzynski, Sandra, Attari, Amal M, Huang, Qi, Aristizabal, Guillen, Faraut, Brice, Léger, Damien, Adam, René, Guénel, Pascal, Brettschneider, Julia A, Finkenstädt, Bärbel F, Lévi, Francis
Format: Article
Language:English
Subjects:
Body temperature
Circadian Rhythm
Cross-Sectional Studies
Female
Hospitals
Humans
Life Sciences
Rest-activity
Shift work
Shift Work Schedule
Sleep
Sleep - physiology
Telemedicine
Telemonitoring
Work Schedule Tolerance - physiology
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Summary:Telemonitoring of circadian and sleep cycles could identify shift workers at increased risk of poor health, including cancer and cardiovascular diseases, thus supporting personalized prevention. The Circadiem cross-sectional study aimed at determining early warning signals of risk of health alteration in hospital nightshifters (NS) versus dayshifters (DS, alternating morning and afternoon shifts). Circadian rhythmicity in activity, sleep, and temperature was telemonitored on work and free days for one week. Participants wore a bluetooth low energy thoracic accelerometry and temperature sensor that was wirelessly connected to a GPRS gateway and a health data hub server. Hidden Markov modelling of activity quantified Rhythm Index, rest quality (probability, p1-1, of remaining at rest), and rest duration. Spectral analyses determined periods in body surface temperature and accelerometry. Parameters were compared and predictors of circadian and sleep disruption were identified by multivariate analyses using information criteria-based model selection. Clusters of individual shift work response profiles were recognized. Of 140 per-protocol participants (133 females), there were 63 NS and 77 DS. Both groups had similar median rest amount, yet NS had significantly worse median rest-activity Rhythm Index (0·38 [IQR, 0·29-0·47] vs. 0·69 [0·60-0·77], p
ISSN:2352-3964
2352-3964
DOI:10.1016/j.ebiom.2022.104121