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A Cross-Sectional Study of Occupational Stress and Sleep Quality Among Nurses at a Medical Center Using Wearable Sensor Technology

Da-Ren Chen

International Symposium on Computers and Communications, 2025

1 citation

Abstract

Recent advancements in wearable sensing technologies, such as smartwatches, enable the continuous monitoring of physiological data. We developed a secure system for data acquisition and monitoring to analyze and report the physiological signals of nursing staff. A crosssectional study was conducted from February to May 2022 with 61 participants using Garmin Vivosmart® 4 watch. Participants’ demographics and work attributes, including work shifts, were recorded in a central database. Physiological data-specifically heart rate (HR), heart rate variability (HRV), and sleep quality-were captured using the developed system. The results indicated nurses working daytime shifts experience higher overall occupational stress compared to evening and night shift nurses. Regression analysis revealed a significant negative correlation between stress and sleep duration ($\rho=-0.12$, $\mathrm{p}\lt 0.001$), indicating shorter sleep durations are associated with increased stress. Furthermore, administrative nurses experience higher stress and worse sleep quality than other nurses.

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Evidence Hub reads this as a cross-sectional. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

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