Analyzing sleep patterns of shift workers via Phillips-Chen-Robinson model (PCR-model)

Not scheduled
Holme Building/--The Refectory (University of Sydney)

Holme Building/--The Refectory

University of Sydney

Board: 512
Poster Presentation Poster Session


Jae Hyoung Hong (KAIST( Korea Advanced Institute of Science and Technology ))


Increments in around-the-clock service in modern society yield increments in shift work. As a result, nowadays more than 20% of population in the world work in shifts. As shift work schedules inevitably have increased, the risks of shift work are also presenting including the increment of risk for disease, such as cardiovascular-disease and cancer. There have been several approaches to analyze effect of shift work through mathematical modeling, however few studies have applied mathematical modelling to actual data. Here, we applied the Phillips-Chen-Robinson model (PCR model), one of the human sleep process models, to analyze actual data of nurses who work in Samsung-hospital. We modify the PCR model with light actigraphy of nurses who work shifts to fit irregular and personal sleep/wake timing. As a result we find a critical factor which has strong correlation with sleep quality. By using this factor we find a new sleep model which provides best sleep time to achieve the best sleep quality.

Primary author

Jae Hyoung Hong (KAIST( Korea Advanced Institute of Science and Technology ))


Su Jung Choi (Sungkyunkwan University) Su Wha Yoon (Samsung Medical Center) Eun Yeon Joo (Samsung Medical Center) Jae Kyoung Kim (KAIST (Korea Advanced Institute of Science and Technology))

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