Khosro Sadeghniat-Haghighi, Farzaneh Abbaslou, Seyed Akbar Sharifian, N. Izadi
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引用次数: 0
Abstract
BACKGROUND
Shift work may be associated with insulin resistance.
OBJECTIVE
This study aimed to investigate the potential association between shift work and the homeostatic model assessment of insulin resistance (HOMA-IR) index in professional drivers.
METHOD
A total of four hundred fifty-three professional drivers were invited to participate in the study within a periodic medical examination in the occupational setting. One hundred seventy-seven daytime workers were compared with 175 night shifts and 101 early morning shift drivers. Demographic, occupational, and medical examination including blood pressure, anthropometric data was assessed. Measurement of serum insulin, fasting blood glucose and lipid profile were done for all drivers.
RESULTS
Compared with day workers, night shift and early morning shift drivers displayed higher levels of HOMA-IR. Metabolic syndrome was found to be significantly increased in night workers. In linear regression analysis, insulin resistance was correlated with shift work independently of demographic and occupational characteristics.
CONCLUSION
The study revealed that shift work could be a risk factor in developing the risk of metabolic syndrome and insulin resistance. Suggestively, health strategies such as structured lifestyle counseling in occupational health settings are warranted to improve and modify cardiometabolic risk factors.
期刊介绍：
Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions.
The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors.
The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective.
The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.
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