Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010)
Objectives: The physical injuries and financial implications as a result of road accidents have serious economic, cultural, and social effects. We conducted this study to determine any changes in the trend of road-accident-related deaths in Asian and North African countries from 1990 to 2010. Method...
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| Format: | Article |
| Language: | English |
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Oman Medical Specialty Board
2017-09-01
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| Series: | Oman Medical Journal |
| Subjects: | |
| Online Access: | http://omjournal.org/articleDetails.aspx?coType=1&aId=2031 |
| _version_ | 1819021387368497152 |
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| author | Maryam Salari Anoshirvan Kazemnejad Farid Zayeri |
| author_facet | Maryam Salari Anoshirvan Kazemnejad Farid Zayeri |
| author_sort | Maryam Salari |
| collection | DOAJ |
| description | Objectives: The physical injuries and financial implications as a result of road accidents have serious economic, cultural, and social effects. We conducted this study to determine any changes in the trend of road-accident-related deaths in Asian and North African countries from 1990 to 2010. Methods: The current study was carried out using data from the Global Burden of Disease database. First, the process was assessed using the growth curve divided into six regions. Moreover, the classification was done based on the death rate using growth mixed modeling. Results: The road injury death trend for men had more variations than women. Classification of these countries based on mortality using the latent growth mixture model resulted in more homogeneous classes according to trend in road fatalities. Disregarding gender and sex, there were four optimal classes. The first three classes had a decreasing trend with the third class having the greatest decreasing trend. South Korea and Taiwan were in this group. Afghanistan, Indonesia, Thailand, Iran, the UAE, Saudi Arabia, and Oman lay in group 4 and had an increasing trend in road injury deaths. Conclusions: Successful interventions that developed countries have used to avoid casualties of road injuries could be used in developing countries. These include passing laws making the use of seatbelts and child seats compulsory and determining appropriate speed limits. |
| first_indexed | 2024-12-21T04:06:18Z |
| format | Article |
| id | doaj.art-f45c0153bef44815bb09df5fd936d42b |
| institution | Directory Open Access Journal |
| issn | 1999-768X 2070-5204 |
| language | English |
| last_indexed | 2024-12-21T04:06:18Z |
| publishDate | 2017-09-01 |
| publisher | Oman Medical Specialty Board |
| record_format | Article |
| series | Oman Medical Journal |
| spelling | doaj.art-f45c0153bef44815bb09df5fd936d42b2022-12-21T19:16:35ZengOman Medical Specialty BoardOman Medical Journal1999-768X2070-52042017-09-0132541742410.5001/omj.2017.78Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010)Maryam Salari0Anoshirvan Kazemnejad1Farid Zayeri2Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, IranDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, IranDepartment of Biostatistics, Member of Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IranObjectives: The physical injuries and financial implications as a result of road accidents have serious economic, cultural, and social effects. We conducted this study to determine any changes in the trend of road-accident-related deaths in Asian and North African countries from 1990 to 2010. Methods: The current study was carried out using data from the Global Burden of Disease database. First, the process was assessed using the growth curve divided into six regions. Moreover, the classification was done based on the death rate using growth mixed modeling. Results: The road injury death trend for men had more variations than women. Classification of these countries based on mortality using the latent growth mixture model resulted in more homogeneous classes according to trend in road fatalities. Disregarding gender and sex, there were four optimal classes. The first three classes had a decreasing trend with the third class having the greatest decreasing trend. South Korea and Taiwan were in this group. Afghanistan, Indonesia, Thailand, Iran, the UAE, Saudi Arabia, and Oman lay in group 4 and had an increasing trend in road injury deaths. Conclusions: Successful interventions that developed countries have used to avoid casualties of road injuries could be used in developing countries. These include passing laws making the use of seatbelts and child seats compulsory and determining appropriate speed limits.http://omjournal.org/articleDetails.aspx?coType=1&aId=2031Traffic AccidentsGrowth Mixture ModelTrajectoryDeveloping CountriesLatent Growth Curve |
| spellingShingle | Maryam Salari Anoshirvan Kazemnejad Farid Zayeri Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010) Oman Medical Journal Traffic Accidents Growth Mixture Model Trajectory Developing Countries Latent Growth Curve |
| title | Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010) |
| title_full | Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010) |
| title_fullStr | Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010) |
| title_full_unstemmed | Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010) |
| title_short | Using Growth Mixture Modeling for Clustering Asian and North African Countries on the Road Injury Death Trend (1990–2010) |
| title_sort | using growth mixture modeling for clustering asian and north african countries on the road injury death trend 1990 2010 |
| topic | Traffic Accidents Growth Mixture Model Trajectory Developing Countries Latent Growth Curve |
| url | http://omjournal.org/articleDetails.aspx?coType=1&aId=2031 |
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