Determining Safe Working Hours of Wearing Medical Disposable Protective Clothing From Physiological Thermal Limits: A Pilot Study

Author:

Li Jian1,Cui Xinwen12,Huang Qianqian1,Li Jun13

Affiliation:

1. College of Fashion and Design, Donghua University, Shanghai, China

2. Department of Medical Device Testing, Nanjing Institute of Measurement and Testing Technology, Nanjing, China

3. Key Laboratory of Clothing Design and Technology, Donghua University, Ministry of Education, Shanghai, China

Abstract

Despite the mandatory use of medical disposable protective clothing to protect against infectious hazards, how to determine optimal safe working hours induced by physical fatigue while wearing medical disposable protective clothing remains unknown. Driven by these questions, here we quantify the extent of physical fatigue experienced by medical staff wearing medical disposable protective clothings in isolation wards to identify a safe work duration. Eight healthy males were subjected to light (2.1 km/h) and moderate (4.3 km/h) treadmill exercises while wearing two different ensembles. Four physiological (tympanic temperature Tcore, mean skin temperature Tsk, heart rate, and sweat loss) and two subjective indicators (thermal sensation and humidity sensation) were measured. We then introduced a discrete gray model(1,1) to determine safe working hours. The study indicated that even at lower temperatures, prolonged wearing of medical disposable protective clothing could significantly affect physiological indicators such as Tcore and Tsk ( p < 0.001), with Tcore being the predominant factor limiting safe working hours. Regarding medical disposable protective clothing-1-light, medical disposable protective clothing-1-moderate, medical disposable protective clothing-2-light, and medical disposable protective clothing-2-moderate intensity activities, the safe working hours were 6.33, 2.83, 2.83, and 2.25 h. This article presented a new approach to determining safe working hours for wearing medical disposable protective clothing from physiological thermal limits with small sample data. However, this is a preliminary study, and further validation of the prediction model through additional experiments is necessary.

Funder

Fundamental Research Funds for the Central Universities and the Graduate Student Innovation Fund of Donghua University

Central University Basic Research Fund of China

Publisher

SAGE Publications

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