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Drowsiness and Its Relation With Individual Characteristics Among Night Workers in a Desert Hospital in Iran



Poursadeghiyan M1 ; Omidi L2 ; Hami M3 ; Raei M4 ; Biglari H5
Authors
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Authors Affiliations
  1. 1. Department of Ergonomics, School of Rehabilitation, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
  2. 2. Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Economic Development and Planning, Islamic Azad University, University of Firoozkooh Branch, Firoozkooh, Iran
  4. 4. Department of Biostatistics, School of Medicine, Qom University of Medical Sciences, Qom, Iran
  5. 5. Department of Environmental Health Engineering, Faculty of Public Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran

Source: International Journal of Tropical Medicine Published:2016

Abstract

Most hospitals perform 24 h daily. Night work is an important duty for staff of a major part of labor force. Shift work is regarded as working out of the normal working hours (about 7:00-18:00). In this cross-sectional study, the panel method was used. Emam Khomeini hospital, one of desert hospital of gonabad was our study site. Sample size was 90 people. Data were collected using Demographic information and questionnaire (Stanford sleepiness scale). Data were analyzed using SPSS software version 16. This study revealed a 95% positive correlation between degree of drowsiness and BMI (p<0. 05, r = 0/24). Also, this study showed that there is a 95% positive correlation between the degree of drowsiness and age (p<0. 05, r = 0. 589). Also, the degree of drowsiness and number of years of employment had a 95% positive correlation (p<0. 05, r = 0. 24). Also, there was a 95% positive correlation between the degree of drowsiness and level of education in shift-works (p<0. 05, r = 0. 378). According to the results of our data, the degree of drowsiness has significant correlation with age variables, the number of years of employment in shift-works and educational level. Our results agree with other studies on the effect of age and experience on drowsiness and work-shifts conformation. © Medwell Journals, 2016.