Evidence map›Paper›PMID 35772217›Full record

ArticleEBioMedicine2022

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

Yiyuan Zhang, Emilie Cordina-Duverger, Sandra Komarzynski, Amal M Attari, Qi Huang, Guillen Aristizabal, Brice Faraut, Damien Léger, René Adam, Pascal Guénel and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  3. Circadian rhythms and lung cancer biology and immunotherapy: Emerging opportunities and challenges.Chinese medical journal pulmonary and critical care medicine · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yiyuan ZhangDepartment of Statistics, University of Warwick, Coventry, United Kingdom.
Emilie Cordina-DuvergerInserm, CESP, Team Exposome and Heredity, University Paris-Saclay, Gustave Roussy, Villejuif, France.
Sandra KomarzynskiCancer Chronotherapy Team, Cancer Research Centre, Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Amal M AttariUPR "Chronothérapie, Cancers, et Transplantation", Faculté de Médecine, Université Paris-Saclay, Villejuif, France; Cap Gemini, Velizy Villacoublay, France.
Qi HuangDepartment of Statistics, University of Warwick, Coventry, United Kingdom.
Guillen AristizabalInserm, CESP, Team Exposome and Heredity, University Paris-Saclay, Gustave Roussy, Villejuif, France.
Brice FarautUniversité de Paris, VIFASOM (EA 7330 Vigilance Fatigue, Sommeil et Santé Publique), Paris, France; Assistance Publique-Hôpitaux de Paris, APHP-Centre Université de Paris, Hôtel Dieu, Centre du Sommeil et de La Vigilance, Paris, France.
Damien LégerUniversité de Paris, VIFASOM (EA 7330 Vigilance Fatigue, Sommeil et Santé Publique), Paris, France; Assistance Publique-Hôpitaux de Paris, APHP-Centre Université de Paris, Hôtel Dieu, Centre du Sommeil et de La Vigilance, Paris, France.
René AdamUPR "Chronothérapie, Cancers, et Transplantation", Faculté de Médecine, Université Paris-Saclay, Villejuif, France; Hepato-Biliary Center, Paul Brousse Hospital, Assistance Publique-Hôpitaux de Paris, Villejuif, France.
Pascal GuénelInserm, CESP, Team Exposome and Heredity, University Paris-Saclay, Gustave Roussy, Villejuif, France.
Julia A BrettschneiderDepartment of Statistics, University of Warwick, Coventry, United Kingdom.
Bärbel F FinkenstädtDepartment of Statistics, University of Warwick, Coventry, United Kingdom.
Francis LéviCancer Chronotherapy Team, Cancer Research Centre, Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom; UPR "Chronothérapie, Cancers, et Transplantation", Faculté de Médecine, Université Paris-Saclay, Villejuif, France; Department of Medical Oncology, Paul Brousse Hospital, Assistance Publique-Hôpitaux de Paris, Villejuif, France. Electronic address: francis.levi@inserm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemonitoring of circadian and sleep cycles could identify shift workers at increased risk of poor health, including cancer and cardiovascular diseases, thus supporting personalized prevention.

methodsThe 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.

findingsOf 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<0·0001) and rest quality p1-1 (0·94 [0·94-0·95] vs 0·96 [0·94-0·97], p<0·0001) 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 (p<0·0001) 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).

interpretationA 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.

fundingFrench Agency for Food, Environmental and Occupational Health & Safety (EST-2014/1/064), University of Warwick, Medical Research Council (United Kingdom, MR/M013170), Cancer Research UK(C53561/A19933).

Indexed as

Circadian RhythmShift Work ScheduleSleepWork Schedule ToleranceCross-Sectional StudiesFemaleHospitalsHumansTelemedicineBody temperatureCircadian rhythmRest-activityShift workSleepTelemonitoring

Identifiers

PMID35772217
PMCPMC9253495

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.