XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Amini M, Kazemnejad A, Zayeri F, Gholami Fesharaki M. Analysis of multi-center longitudinal data using multilevel model for assessing the relationship between work schedule and body mass index among staff of Mobarakeh steel and Polyacryl companies. irje. 2014; 1111
URL: http://irje.tums.ac.ir/article-1-5739-en.html

1- PhD Student in Biostatistics, Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2- Professor of Biostatistics, Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran , kazem_an@modares.ac.ir
3- Associate Professor of Biostatistics, Department of Biostatistics, Member of Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4- Assistant Professor of Biostatistics, Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
Abstract:   (601 Views)
Background and Objectives: Nowadays, shift work in long term could be threaten people’s health in workplace. The present research aimed to assess the association between shift work and body mass index (BMI) using multilevel (hierarchical) model during a particular period of time.
 
Methods: The data of this longitudinal study was related to a sample of Esfahan’s Mobarakeh steel and Polyacryl companies personnel during the years 2008 to 2011. Shift work schedule was consisted of day work and rotational shift work. The multilevel regression model was utilized for analyzing the data and assessing the effect of shift work on BMI by controlling confounding variables including marital status, work expectation, age, company, and educational level.
 
Results: In this study, among 1368 staff, 42.3% (578 persons) and 57.7% (790 persons) were day workers and rotating shift workers, respectively. The mean (±SD) age of the day workers and rotating shift workers were 33.07 (±8.66) years and 33.31 (±8.70) years, respectively. After adjusting for confounding variables in two-level hierarchical model, the association between shift work and BMI was not statistically significant (P=0.837). Nearly 90% of total variation was related to personnel.
 
Conclusion: Regarding the results of the current study, no statistically significant relationship was found between shift work schedule and BMI. Thus, conducting another similar research with a longer follow up period (more than four years) and controlling more confounder factors is recommended for evaluating the relationship between shift work and BMI more accurately.
     
Type of Study: Research | Subject: General
Received: 2017/08/12 | Accepted: 2017/08/12 | Published: 2017/08/12

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author


© 2017 All Rights Reserved | Iranian Journal of Epidemiology

Designed & Developed by : Yektaweb