Application of growth mixture model to analysis of road traffic death rate in the world, 2007-2013

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SALEHI MASOUD; Mehmandar Mohammadreza; Mobaderi Tofigh

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Journal: Razi Journal of Medical Sciences Year:2017 | Volume:24 | Issue:161 Page(s): 1-12

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Title

Application of growth mixture model to analysis of road traffic death rate in the world, 2007-2013

Author(s)

SALEHI MASOUD | Mehmandar Mohammadreza | Mobaderi Tofigh | Issue Writer Certificate

Keywords

Latent growth modelQ1

Growth mixture modelQ1

Road traffic accidentQ1

HeterogeneityQ3

Longitudinal analysisQ3

Abstract

Background: Road traffic accidents (RTA) is a major public health problem in the world. The RTAs patterns are different in various countries which require taking specific approach es and strategies. The purpose of this study was to use Growth mixture model (GMM) to study the pattern of RTAs death rate worldwide. Methods: In this longitudinal study, RTAs death rate data of 193 countries from 2007, 2010 and 2013 were extracted from the World Health Organization reports. In order to investigate the RTAs growth trajectory, linear and nonlinear Latent growth models (LGM) were used and compared to each other. Finally, the GMM was fitted to identify and classify countries based on RTAs death rate patterns. Statistical analyses were conducted by Mplus 6. 12. Results: The nonlinear LGM fitted better than the linear model. According to nonlinear model, the estimated RTAs rate trend was downward in the first three years and then the rate changed to upward. By using GMM, seven subgroups with different RTAs death rate patterns were determined. Conclusion: From 2007 to 2013, the RTAs death rate in the world started to decline and then increased. Based on death rate growth trajectories, world countries classified into seven subgroups with various patterns. Therefore, in order to reduce RTAs death rate in the world different approaches need to be considered for each subgroup.

Cites

Assessment of Worldwide Pedestrian Mortality Rate Patterns: 1990-2015

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APA: Copy

SALEHI, MASOUD, Mehmandar, Mohammadreza, & Mobaderi, Tofigh. (2017). Application of growth mixture model to analysis of road traffic death rate in the world, 2007-2013. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), 24(161 ), 1-12. SID. https://sid.ir/paper/10835/en

Vancouver: Copy

SALEHI MASOUD, Mehmandar Mohammadreza, Mobaderi Tofigh. Application of growth mixture model to analysis of road traffic death rate in the world, 2007-2013. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES)[Internet]. 2017;24(161 ):1-12. Available from: https://sid.ir/paper/10835/en

IEEE: Copy

MASOUD SALEHI, Mohammadreza Mehmandar, and Tofigh Mobaderi, “Application of growth mixture model to analysis of road traffic death rate in the world, 2007-2013,” RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), vol. 24, no. 161 , pp. 1–12, 2017, [Online]. Available: https://sid.ir/paper/10835/en

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