این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Public Health، جلد ۴۹، شماره ۱۱، صفحات ۲۱۹۴-۲۲۰۴
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists’ Injuries: A Conceptual Model in a Case-Control Study
چکیده انگلیسی مقاله Background: To model, the predictors of injuries caused the hospitalization of motorcyclists using a hybrid structural equation modeling-artificial neural network (SEM-ANN) considering a conceptual model. Methods: In this case-control study, 300 cases and 156 controls were enrolled using a cluster random sampling. The cases were selected among injured motorcyclists in refereed to Imam Reza Hospital and Tabriz Shohada Hospital, Tabriz, Iran since Mar 2013. The predictability of injury by motorcycle-riding behavior questionnaire (MRBQ), Attention-deficit/hyperactivity disorder (ADHD) along with its subscales and motorcycle related variables was modeled using SEM-ANN. By SEM, linear direct and indirect relationships were assessed. To improve the SEM, the ANN was utilized sequentially to account for the nonlinear and interaction effects that is not supported by SEM. Results: The predictors of injury were: MRBQ, ADHD, and its subscales, marital status, education level, riding for fun, engine volume, hyper active child, dark hour riding, cell phone answering, driving license (All P less than 0.05). In addition, the findings reveal the Mediating role of MRBQ for the relationship between underlying predictors and injury. Furthermore, ANN showed higher specificity (95.45 vs.77.88) and accuracy (90.76 vs.79.94) than usual SEM which lead us to introduce the second and third order effect of MRBQ into the modified SEM. Conclusion: The hybrid model provided results that are more accurate; considering the results of the modeling, having intervention programs on ADHD motorcyclists, those have the hyperactive child, and those who answer their cell phones while driving, and improving the motorcyclists’ goal is highly recommended.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | Shila HASANZADEH
Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran


| Mohammad ASGHARIJAFARABADI
Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran AND Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran


| Homayoun SADEGHI-BAZARGANI
Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran AND Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran
نشانی اینترنتی https://ijph.tums.ac.ir/index.php/ijph/article/view/15063
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات