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Digital Circadian and Sleep Health in Individual Hospital Shift Workers: A Cross Sectional Telemonitoring Study

Authors :
Yiyuan Zhang
Emilie Cordina-Duverger
Sandra Komarzynski
Amal M. Attari
Qi Huang
Guillen Aristizabal
Brice Faraut
Damien Léger
René Adam
Pascal Guénel
Julia A. Brettschneider
Bärbel F. Finkenstädt
Francis Lévi
Source :
SSRN Electronic Journal.
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

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], p0·0001) and rest quality p1-1 (0·94 [0·94-0·95] vs 0·96 [0·94-0·97], p0·0001) over the whole study week. Only 48% of the NS displayed a circadian period in temperature, as compared to 70% of the DS (p=0·026). Poor p1-1 was associated with nightshift work on both work (p0·0001) and free days (p=0·0098). The number of years of past night work exposure predicted poor rest-activity Rhythm Index jointly with shift type, age and chronotype on workdays (p= 0·0074), and singly on free days (p=0·0005).A dedicated analysis toolbox of streamed data from a wearable device identified circadian and sleep rhythm markers, that constitute surrogate candidate endpoints of poor health risk in shift-workers.French Agency for Food, Environmental and Occupational HealthSafety (EST-2014/1/064), University of Warwick, Medical Research Council (United Kingdom, MR/M013170), Cancer Research UK(C53561/A19933).

Details

ISSN :
15565068 and 23523964
Database :
OpenAIRE
Journal :
SSRN Electronic Journal
Accession number :
edsair.doi.dedup.....e605d1947a4fcbb9f78a4072c231b4b3
Full Text :
https://doi.org/10.2139/ssrn.4120418