Volume 13, Issue 4 (VOl 13, No.4, Winter 2018)                   irje 2018, 13(4): 346-355 | Back to browse issues page

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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. 2018; 13 (4) :346-355
URL: http://irje.tums.ac.ir/article-1-5912-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, Faculty 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:   (1571 Views)
Background and Objectives: Shift work could threaten health in the long term. The present research aimed to assess the association between shift work and body mass index (BMI) using the multilevel (hierarchical) model during a particular period of time.
Methods: The data of this longitudinal study were collected from a sample of Esfahan’s Mobarakeh steel and Polyacryl companies personnel during 2008 to 2011. Shift work schedule included day work and rotational shift work. The multilevel regression model was utilized for analysing 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, of 1368 workers, 42.3% (n=578) and 57.7% (n=790) were day workers and rotating shift workers, respectively. The mean (±SD) age of the day workers and rotating shift workers was 33.07 (±8.66) years and 33.31 (±8.70) years, respectively. After adjusting for confounding variables in a two-level hierarchical model, the association between shift work and BMI was not statistically significant (P=0.837). About 90% of total variation was related to personnel.
Conclusion: According to the results of the present study, no statistically significant relationship was found between shift work schedule and BMI. Thus, other similar studies with a longer follow up period (more than four years) and controlling more confounder factors are necessary to evaluate the relationship between shift work and BMI more accurately.
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Type of Study: Research | Subject: General
Received: 2018/04/18 | Accepted: 2018/04/18 | Published: 2018/04/18

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