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ORIGINAL ARTICLE
Year : 2017  |  Volume : 10  |  Issue : 4  |  Page : 989-992

Drowsiness trend in night workers and adaptation to night shift in hospital staff


1 Psychosis Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
2 Department of Nursing, School of Nursing and Midwifery, Alborz University of Medical Sciences, Karaj, Iran
3 Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
4 Research Center in Emergency and Disaster Health, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
5 Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran
6 Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
7 Department of Economic Development and Planning, University of Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
8 Department of Occupational Health Engineering, School of Public Health, Zabol University of Medical Sciences, Zabol, Iran

Correspondence Address:
Mehrdad Farrokhi
Research Center in Emergency and Disaster Health, University of Social Welfare and Rehabilitation Sciences, Tehran
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ATMPH.ATMPH_307_17

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Background: Nowadays, 24-h performance is an inevitable part in many industries and public services. Night work is a necessity for employees of a main part of labor force. Shift work is considered as working out of usual working hours (about 7–18). Objective: The aim of this study is drowsiness trend in night workers and adaptation to night shift in hospital staff. Materials and Methods: We used panel method. The studied society belongs to one of the hospitals in Iran. Ninety staffs were selected as samples. To collect sleepiness, data from Stanford Sleepiness Scale demographic information and questionnaire were utilized. The data were analyzed by SPSS software version 22. Results: Results show two identical groups of samples have largest degrees over four nights at 5:00 then at 3:00 AM and 1:00 AM. The degree of correspondence of second night was more than the first night. Conclusion: These landings can have important applications in increasing the safety and productivity of the workplace and the workers.


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