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A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait

BACKGROUND: The aims of this cross-sectional study were to i) assess one-year period prevalence of one, two, three or more road traffic crashes (RTCs) as an ordinal outcome and ii) identify the drivers’ characteristics associated with this ordinal outcome among young adult drivers with propensity to...

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Autores principales: Akhtar, Saeed, Aldhafeeri, Eisa, Alshammari, Farah, Jafar, Hana, Malhas, Haya, Botras, Marina, Alnasrallah, Noor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759274/
https://www.ncbi.nlm.nih.gov/pubmed/35026988
http://dx.doi.org/10.1186/s12874-021-01497-2
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author Akhtar, Saeed
Aldhafeeri, Eisa
Alshammari, Farah
Jafar, Hana
Malhas, Haya
Botras, Marina
Alnasrallah, Noor
author_facet Akhtar, Saeed
Aldhafeeri, Eisa
Alshammari, Farah
Jafar, Hana
Malhas, Haya
Botras, Marina
Alnasrallah, Noor
author_sort Akhtar, Saeed
collection PubMed
description BACKGROUND: The aims of this cross-sectional study were to i) assess one-year period prevalence of one, two, three or more road traffic crashes (RTCs) as an ordinal outcome and ii) identify the drivers’ characteristics associated with this ordinal outcome among young adult drivers with propensity to recurrent RTCs in Kuwait. METHODS: During December 2016, 1465 students, 17 years old or older from 15 colleges of Kuwait University participated in this cross-sectional study. A self-administered questionnaire was used for data collection. One-year period prevalence (95% confidence interval (CI)) of one, two, three or more RTCs was computed. Multivariable proportional odds model was used to identify the drivers’ attributes associated with the ordinal outcome. RESULTS: One-year period prevalence (%) of one, two and three or more RTCs respectively was 23.1 (95% CI: 21.2, 25.6), 10.9 (95% CI: 9.4, 12.6), and 4.6 (95% CI: 3.6, 5.9). Participants were significantly (p < 0.05) more likely to be in higher RTCs count category than their current or lower RCTs count, if they habitually violated speed limit (adjusted proportional odds ratio (pOR(adjusted)) = 1.40; 95% Cl: 1.13, 1.75), ran through red lights (pOR(adjusted) = 1.64; 95%CI: 1.30, 2.06), frequently (≥ 3) received multiple (> 3) speeding tickets (pOR(adjusted) = 1.63; 95% CI: 1.12, 2.38), frequently (> 10 times) violated no-parking zone during the past year (pOR(adjusted) = 1.64; 95% CI: 1.06, 2.54) or being a patient with epilepsy (pOR(adjusted) = 4.37; 95% CI: 1.63, 11.70). CONCLUSION: High one-year period prevalence of one, two and three or more RTCs was recorded. Targeted education based on identified drivers’ attributes and stern enforcement of traffic laws may reduce the recurrent RTCs incidence in this and other similar populations in the region.
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spelling pubmed-87592742022-01-18 A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait Akhtar, Saeed Aldhafeeri, Eisa Alshammari, Farah Jafar, Hana Malhas, Haya Botras, Marina Alnasrallah, Noor BMC Med Res Methodol Research BACKGROUND: The aims of this cross-sectional study were to i) assess one-year period prevalence of one, two, three or more road traffic crashes (RTCs) as an ordinal outcome and ii) identify the drivers’ characteristics associated with this ordinal outcome among young adult drivers with propensity to recurrent RTCs in Kuwait. METHODS: During December 2016, 1465 students, 17 years old or older from 15 colleges of Kuwait University participated in this cross-sectional study. A self-administered questionnaire was used for data collection. One-year period prevalence (95% confidence interval (CI)) of one, two, three or more RTCs was computed. Multivariable proportional odds model was used to identify the drivers’ attributes associated with the ordinal outcome. RESULTS: One-year period prevalence (%) of one, two and three or more RTCs respectively was 23.1 (95% CI: 21.2, 25.6), 10.9 (95% CI: 9.4, 12.6), and 4.6 (95% CI: 3.6, 5.9). Participants were significantly (p < 0.05) more likely to be in higher RTCs count category than their current or lower RCTs count, if they habitually violated speed limit (adjusted proportional odds ratio (pOR(adjusted)) = 1.40; 95% Cl: 1.13, 1.75), ran through red lights (pOR(adjusted) = 1.64; 95%CI: 1.30, 2.06), frequently (≥ 3) received multiple (> 3) speeding tickets (pOR(adjusted) = 1.63; 95% CI: 1.12, 2.38), frequently (> 10 times) violated no-parking zone during the past year (pOR(adjusted) = 1.64; 95% CI: 1.06, 2.54) or being a patient with epilepsy (pOR(adjusted) = 4.37; 95% CI: 1.63, 11.70). CONCLUSION: High one-year period prevalence of one, two and three or more RTCs was recorded. Targeted education based on identified drivers’ attributes and stern enforcement of traffic laws may reduce the recurrent RTCs incidence in this and other similar populations in the region. BioMed Central 2022-01-14 /pmc/articles/PMC8759274/ /pubmed/35026988 http://dx.doi.org/10.1186/s12874-021-01497-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Akhtar, Saeed
Aldhafeeri, Eisa
Alshammari, Farah
Jafar, Hana
Malhas, Haya
Botras, Marina
Alnasrallah, Noor
A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait
title A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait
title_full A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait
title_fullStr A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait
title_full_unstemmed A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait
title_short A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait
title_sort proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in kuwait
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759274/
https://www.ncbi.nlm.nih.gov/pubmed/35026988
http://dx.doi.org/10.1186/s12874-021-01497-2
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