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Personnel's Health Surveillance at Work: Effect of Age, Body Mass Index, and Shift Work on Mental Workload and Work Ability Index Publisher Pubmed



Safari S1 ; Akbari J1 ; Kazemi M1 ; Mououdi MA2 ; Mahaki B3
Authors
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Authors Affiliations
  1. 1. Department of Occupational Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan 8174-73461, Iran
  2. 2. Department of Occupational Health Engineering, School of Health, Mazandaran University of Medical Sciences, Sari 48178-44718, Iran
  3. 3. Department of Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan 8174-73461, Iran

Source: Journal of Environmental and Public Health Published:2013


Abstract

Introduction. Two great changes in developed countries are taking place: populations are ageing and becoming increasingly overweight. Combination of these factors with shift work is a risk factor for work ability and mental workload that are dynamic processes which change greatly throughout an individual's work life. The aim of this study was to investigate mental workload and work ability in textile workers and to identify factors which affect work ability and mental workload. Methods. This cross-sectional study was carried out among 194 male workers in textile industry. Employees based on their job group and work conditions have been divided into 6 categories. They completed work ability index and mental workload questionnaires during three work shifts. Body mass index (BMI) and demographic details were recorded. Results. All of the participants rated their work ability as moderate with high mental workload. The mean WAI and mental workload in age group were significant. The mean BMI was 25.5 kg/m2 (standard deviation 4.1) and the mean age was 40.22 years. There was a statistically significant correlation between work ability index and shift work. Conclusions. Unlike the previous study, a decrease point in WAI started in early age that may be due to life-style work and another psychological factor; on the other hand, NASA-TLX revealed high score in six subscales that can be another reason for low WAI. © 2013 Shahram Safari et al.
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