Disorders of blood lipids (Dislipidemia) are one of the most important risk factors for cardiovascular disease. Due to the high prevalence of impaired blood lipids, it is important to identify the factors that affect this health issue. Some researchers believe that shifting the cholesterol in the industrial sector has a role to play. The purpose of this study was to investigate the relationship between shifting and high cholesterol in employees of Mobarakeh Steel Company in Isfahan (Iran).
This historical cohort study was conducted on 7677 male staff of Isfahan’s Mobarakeh Steel Company during 2005 – 2015. The data was gathered using the recorded information in the periodic medical examination files. In this study, we fitted usual random intercept and the marginalized random intercept models for assessing the effect of shiftwork on hypercholesterolemia. Correspondingly, estimaties were adjusted for age, body mass index (BMI) and smoking status. Finally, the goodness of fit indices for these models was compared. Statistical analyses were performed using the SAS software version 9.3 and R software version 2.8.1.
A total of 7677 staff including 4372 (56.9%) shiftworker and 2429 (31.6%) hypercholesterolemia was studied. After adjusting for age, body mass index (BMI) and smoking status, we found no significant relationship between shiftwork and hypercholesterolemia, using both the random effects and marginalized random effects models. In Random effects model; age (P<0.0001), smoking status (P=0.0010), BMI (P<0.0001), and in marginalized random effect model; age (P=0.0001), smoking status (P=0.0006), BMI (P<0.0001) effects were significant.
In this study, there is no significant relationship between shifting and high cholesterol intake. The lack of a meaningful relationship may be due to the recruitment of healthy employees by shift work. Generally, in order to obtain more reliable results, it is suggested that other studies with a larger sample size in different industries (multicentric studies) be adjusted and more variables are adjusted, such as the length of staff shift, overtime, etc
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