Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study
Background and Objectives: The aim of this study was to determine the predictability of the PLS-SEM model for injuries resulting in hospitalization in motorcyclists using a mediator variable in a case-control study. Methods: In this case-control study, 300 cases and 156 controls were randomly sele...
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Tehran University of Medical Sciences
2020-01-01
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doaj-a562514649324329a4c1fc8f5cfbe09e2021-10-02T18:53:34ZfasTehran University of Medical Sciencesمجله اپیدمیولوژی ایران1735-74892228-75072020-01-01154352361Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control StudySH Hasanzadeh0H Sadeghi Bazargani1M Hashemiparast2M Asghari Jafarabadi3 MSc of biostatistics, Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran Associate Professor of Epidemiology, Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran Assistant Professor of Health Education and Promotion, Department of Public, Maragheh University of Medical Sciences, Maragheh, Iran Professor of Biostatistics, Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran Background and Objectives: The aim of this study was to determine the predictability of the PLS-SEM model for injuries resulting in hospitalization in motorcyclists using a mediator variable in a case-control study. Methods: In this case-control study, 300 cases and 156 controls were randomly selected from 150 clusters using random cluster sampling. The data were collected using the motorcycle riding behavior (MRB) questionnaire, adult attention deficit hyperactivity disorder (ADHD) questionnaire (subscales) and a checklist containing motorcycle related variables. Results: The motorcycle riding behavior, adult ADHD, motorcycling related variables and some demographic variables were found to be the predictors of injury. There were significant positive relationships between injury and motorcycling related variables (B=0.20, P=0.001) and ADHD (B=0.33, P=0.001), between MRB and motorcycling related variables (B=0.51, P=0.001) and ADHD (B=0.52, P=0.001), and between ADHD and motorcycling related variables (B=0.39, P=0.001). Conclusion: Considering the more accurate results of PLS-SEM, the intervention programs should especially address those who have hyperactive children, those who use the cellphone while riding, and those who ride in dark hours of the night.http://irje.tums.ac.ir/article-1-6425-en.htmlpartial least squarestrafficinjurymotorcycle riding behavioradult hyperactivity disorder |
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DOAJ |
language |
fas |
format |
Article |
sources |
DOAJ |
author |
SH Hasanzadeh H Sadeghi Bazargani M Hashemiparast M Asghari Jafarabadi |
spellingShingle |
SH Hasanzadeh H Sadeghi Bazargani M Hashemiparast M Asghari Jafarabadi Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study مجله اپیدمیولوژی ایران partial least squares traffic injury motorcycle riding behavior adult hyperactivity disorder |
author_facet |
SH Hasanzadeh H Sadeghi Bazargani M Hashemiparast M Asghari Jafarabadi |
author_sort |
SH Hasanzadeh |
title |
Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study |
title_short |
Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study |
title_full |
Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study |
title_fullStr |
Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study |
title_full_unstemmed |
Assessing Partial Least Squares-Structural Eqation Modeling for the Predictors of Injuries Resulting in Hospitalization in Motorcyclists: A Case-Control Study |
title_sort |
assessing partial least squares-structural eqation modeling for the predictors of injuries resulting in hospitalization in motorcyclists: a case-control study |
publisher |
Tehran University of Medical Sciences |
series |
مجله اپیدمیولوژی ایران |
issn |
1735-7489 2228-7507 |
publishDate |
2020-01-01 |
description |
Background and Objectives: The aim of this study was to determine the predictability of the PLS-SEM model for injuries resulting in hospitalization in motorcyclists using a mediator variable in a case-control study.
Methods: In this case-control study, 300 cases and 156 controls were randomly selected from 150 clusters using random cluster sampling. The data were collected using the motorcycle riding behavior (MRB) questionnaire, adult attention deficit hyperactivity disorder (ADHD) questionnaire (subscales) and a checklist containing motorcycle related variables.
Results: The motorcycle riding behavior, adult ADHD, motorcycling related variables and some demographic variables were found to be the predictors of injury. There were significant positive relationships between injury and motorcycling related variables (B=0.20, P=0.001) and ADHD (B=0.33, P=0.001), between MRB and motorcycling related variables (B=0.51, P=0.001) and ADHD (B=0.52, P=0.001), and between ADHD and motorcycling related variables (B=0.39, P=0.001).
Conclusion: Considering the more accurate results of PLS-SEM, the intervention programs should especially address those who have hyperactive children, those who use the cellphone while riding, and those who ride in dark hours of the night. |
topic |
partial least squares traffic injury motorcycle riding behavior adult hyperactivity disorder |
url |
http://irje.tums.ac.ir/article-1-6425-en.html |
work_keys_str_mv |
AT shhasanzadeh assessingpartialleastsquaresstructuraleqationmodelingforthepredictorsofinjuriesresultinginhospitalizationinmotorcyclistsacasecontrolstudy AT hsadeghibazargani assessingpartialleastsquaresstructuraleqationmodelingforthepredictorsofinjuriesresultinginhospitalizationinmotorcyclistsacasecontrolstudy AT mhashemiparast assessingpartialleastsquaresstructuraleqationmodelingforthepredictorsofinjuriesresultinginhospitalizationinmotorcyclistsacasecontrolstudy AT masgharijafarabadi assessingpartialleastsquaresstructuraleqationmodelingforthepredictorsofinjuriesresultinginhospitalizationinmotorcyclistsacasecontrolstudy |
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