Their findings, reported in a study in the Lancet group journal eBioMedicine, are the most detailed analysis of the sleep and circadian rhythm profiles of shift workers yet attempted, and the first to also monitor body temperature.
The research demonstrates the value of telemonitoring technology for identifying early warning signs of disease risks associated with night-shift work opening up intervention opportunities to improve the health of workers.
Both groups wore accelerometers with chest surface temperature sensors throughout the day and night for a full week, with the data collected by the research team at Université Paris-Saclay and Inserm.
Dr Julia Brettschneider of the University of Warwick Department of Statistics said: "I think there’s a misunderstanding that night shift work is just an inconvenience, whereas it can be linked to serious health risks.
“Together with our PhD student Yiyuan Zhang, we have developed a statistical analysis framework that enables the discovery of patterns and predictive factors in the complex data sets created by wearable tech.”
In addition, the team has the potential in future research to look at more long-term outcomes, such as particular diseases such as cancer that have been linked to disruption of the circadian clock.
This is the best summary I could come up with:
Their findings, reported in a study in the Lancet group journal eBioMedicine, are the most detailed analysis of the sleep and circadian rhythm profiles of shift workers yet attempted, and the first to also monitor body temperature.
The research demonstrates the value of telemonitoring technology for identifying early warning signs of disease risks associated with night-shift work opening up intervention opportunities to improve the health of workers.
Both groups wore accelerometers with chest surface temperature sensors throughout the day and night for a full week, with the data collected by the research team at Université Paris-Saclay and Inserm.
Dr Julia Brettschneider of the University of Warwick Department of Statistics said: "I think there’s a misunderstanding that night shift work is just an inconvenience, whereas it can be linked to serious health risks.
“Together with our PhD student Yiyuan Zhang, we have developed a statistical analysis framework that enables the discovery of patterns and predictive factors in the complex data sets created by wearable tech.”
In addition, the team has the potential in future research to look at more long-term outcomes, such as particular diseases such as cancer that have been linked to disruption of the circadian clock.
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