APPLICATION OF THREE LEVEL MODELING IN ANALYSIS OF LONGITUDINAL BLOOD PRESSURE DATA OF OCCUPATIONAL CENTER OF ISFAHAN’S MOBARAKEH STEEL COMPANY DURING YEARS 2003 UNTIL 2009

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GHOLAMI FESHARAKI M.; KAZEMNEJAD A.; ZAYERI F.; ROWZATI M.

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Paper Information

Journal: Journal of North Khorasan University of Medical Sciences Year:2011 | Volume:3 | Issue:BIOSTATISTICS AND EPIDEMIOLOGY SUPPLEMENT Page(s): 103-114

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Title

APPLICATION OF THREE LEVEL MODELING IN ANALYSIS OF LONGITUDINAL BLOOD PRESSURE DATA OF OCCUPATIONAL CENTER OF ISFAHAN’S MOBARAKEH STEEL COMPANY DURING YEARS 2003 UNTIL 2009

Author(s)

GHOLAMI FESHARAKI M. | KAZEMNEJAD A. | ZAYERI F. | ROWZATI M. | Issue Writer Certificate

Keywords

BLOOD PRESSUREQ3

MULTILEVEL MODELINGQ2

LONGITUDINALSTUDYQ2

SHIFT WORKQ2

Abstract

Background & Objectives: Multilevel (hierarchical) modeling is effective method for analyzing medicals data that set in more than one level. MULTILEVEL MODELING is generalization of linear modeling in which regression coefficients are themselves given a model, whose parameters are also estimated from data. In this paper we want to illustrate about theoretical aspects and estimating method in three level modeling and application of this method in longitudinal BLOOD PRESSURE (BP) data.Material & methods: Data of this longitudinal study were extracted from annual observations of the male workers of Isfahan’s Mobarakeh Steel Company (IMSC), collected in the Health and Safety Executive office of the company between 2003 and 2009. In this research, we assessed the effect of SHIFT WORK (SW) on Diastolic BP (DPB) with controlling BMI and age. In this paper, MLwiN and SPSS software were used to apply a MULTILEVEL MODELING.Results: This study consists of 6713 workers (45.2% regular day worker, 5.8% weekly rotating SHIFT WORKer, and 49% routine rotating SHIFT WORKer). In this study, after controlling confounding factor, SW not showed a significant association with DBP.Conclusion: High speed and high ability to fit models with high sample size are benefits of Iterative method rather likelihood method. And also suitable model of IMSC can be used to control the effect on BP on SW.

Cites

SURVIVAL ANALYSIS OF BREAST CANCER DATA USING NONHOMOGENEOUS MULTI-STATE MODEL

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APA: Copy

GHOLAMI FESHARAKI, M., KAZEMNEJAD, A., ZAYERI, F., & ROWZATI, M.. (2011). APPLICATION OF THREE LEVEL MODELING IN ANALYSIS OF LONGITUDINAL BLOOD PRESSURE DATA OF OCCUPATIONAL CENTER OF ISFAHAN’S MOBARAKEH STEEL COMPANY DURING YEARS 2003 UNTIL 2009. JOURNAL OF NORTH KHORASAN UNIVERSITY OF MEDICAL SCIENCES, 3(BIOSTATISTICS AND EPIDEMIOLOGY SUPPLEMENT), 103-114. SID. https://sid.ir/paper/187068/en

Vancouver: Copy

GHOLAMI FESHARAKI M., KAZEMNEJAD A., ZAYERI F., ROWZATI M.. APPLICATION OF THREE LEVEL MODELING IN ANALYSIS OF LONGITUDINAL BLOOD PRESSURE DATA OF OCCUPATIONAL CENTER OF ISFAHAN’S MOBARAKEH STEEL COMPANY DURING YEARS 2003 UNTIL 2009. JOURNAL OF NORTH KHORASAN UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2011;3(BIOSTATISTICS AND EPIDEMIOLOGY SUPPLEMENT):103-114. Available from: https://sid.ir/paper/187068/en

IEEE: Copy

M. GHOLAMI FESHARAKI, A. KAZEMNEJAD, F. ZAYERI, and M. ROWZATI, “APPLICATION OF THREE LEVEL MODELING IN ANALYSIS OF LONGITUDINAL BLOOD PRESSURE DATA OF OCCUPATIONAL CENTER OF ISFAHAN’S MOBARAKEH STEEL COMPANY DURING YEARS 2003 UNTIL 2009,” JOURNAL OF NORTH KHORASAN UNIVERSITY OF MEDICAL SCIENCES, vol. 3, no. BIOSTATISTICS AND EPIDEMIOLOGY SUPPLEMENT, pp. 103–114, 2011, [Online]. Available: https://sid.ir/paper/187068/en

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