scholarly journals P1-2 Structural equation modelling in a fetal mortality case-control study in Brazil

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A68-A68
Author(s):  
G. Alencar ◽  
M. Almeida
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Case Control Study ◽  
Case Control ◽  
Fetal Mortality ◽  
Equation Modelling ◽  
Mortality Case ◽  
Control Study

scholarly journals Nonuse of bicycle helmets and risk of fatal head injury: a proportional mortality, case-control study

2012 ◽  
Vol 184 (17) ◽  
pp. E921-E923 ◽  
Author(s):  
N. Persaud ◽  
E. Coleman ◽  
D. Zwolakowski ◽  
B. Lauwers ◽  
D. Cass
Keyword(s):  
Head Injury ◽  
Case Control Study ◽  
Case Control ◽  
Bicycle Helmets ◽  
Mortality Case ◽  
Proportional Mortality ◽  
Control Study

scholarly journals Attributable fraction of tobacco smoking on cancer deaths from 2010 to 2019 using mortality case-control study in Tianjin, China

2021 ◽  
Author(s):  
Wei LI ◽  
XUE Xiaodan ◽  
LI Dandan ◽  
Ying ZHANG ◽  
Wenda SHEN ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tobacco Smoking ◽  
Case Control Study ◽  
Case Control ◽  
Effective Control ◽  
Adult Women ◽  
Cancer Death ◽  
Individual Level ◽  
Mortality Case ◽  
Control Study

Abstract Background: Smoking is by far the most important cause of cancer that can be modified at the individual level. Asia has a high incidence of cancer incidence and death, while China has the highest incidence in Asia, and accounting for 27% of the world's cancer deaths. The purpose of the current study was to perform an evidence-based assessment of the burden of tobacco smoking-related cancers death in the Tianjin, China. Methods: A mortality case-control study to assess the risks of all-cause and major causes of cancer death attributable to smoking from 2010 to 2019. Results: Tobacco smoking was responsible for 23,709 (28.87%) cancer deaths among adult men and 8,648 (13.37%) among adult women in 2010 to 2019 in Tianjin. Lung cancer remains the largest cause of cancer death. In men, 49.06% of lung cancer, 27.55% of upper aerodigestive cancer, 10.11% of liver, 13.56% of kidney and other urinary cancer deaths were attributable to tobacco smoking. In women the proportion of ever-smoking-attributable lung cancer was 31.56%, 10.59% of upper aerodigestive and 10.56% of bladder cancer deaths. By year, smoking-attributable cancer deaths in men increased from 1817 in 2010 to 2695 in 2019; for women, the number remained stable at just over 800 per year. Conclusions: Approximately one in three cancer deaths in men and one in six cancer deaths in women would be potentially preventable through appropriate control of tobacco smoking in Tianjin. Effective control programs against tobacco smoking should be further implemented.

Offenders with Personality Disorder who Fail to Progress: A Case Control Study using PLS-SEM Path Analysis (Preprint)

2021 ◽  
Author(s):  
Georgina Mathlin ◽  
Mark Freestone ◽  
Celia Taylor ◽  
Jake Shaw
Keyword(s):  
Personality Disorder ◽  
Structural Equation ◽  
Structural Model ◽  
Case Control Study ◽  
Influential Factor ◽  
Control Group ◽  
Equation Modelling ◽  
Path Coefficients ◽  
The Uk ◽  
Control Study

BACKGROUND Offenders with personality disorder can be challenging to engage and retain in treatment. The UK offender personality disorder (OPD) pathway aims to proactively and responsively identify and engage offenders with personality disorder. However, a sub-population of offenders on the pathway have been found to not be accepted into any OPD service and therefore fail to progress. OBJECTIVE This study aimed to identify and describe offenders on the OPD pathway who fail to progress as well as understand the causal drivers by which individuals fail to progress in the pathway. METHODS A sample of 50 offenders on the OPD pathway who had been refused from at least two OPD services (non-progression group) were compared to 100 offenders accepted into OPD services (control group). Partial least squares structural equation modelling (PLS-SEM) was used to model the causal factors involved in not being accepted into OPD services. RESULTS The path coefficients in the structural model showed that the most influential factor in non-progression was attitude towards treatment (β = 0.41, P <.001, f2 = 0.25) alongside those with psychopathology (β = 0.41, P <.001, f2 = 0.25); specifically, psychopathy, psychosis and co-occurring personality disorder. CONCLUSIONS The findings of the study provide a basis of how to work with this population in the future to increase the likelihood of acceptance into OPD services.

Is Gravidity 4+ a Risk Factor for Oral Clefts? A Case-Control Study in Eight South American Countries Using Structural Equation Modeling

2013 ◽  
Vol 50 (5) ◽  
pp. 591-596 ◽  
Author(s):  
Juan Antonio Gili ◽  
Fernando Adriàn Poletta ◽  
Hebe Campaña ◽  
Belén Comas ◽  
Mariela Pawluk ◽  
...  
Keyword(s):  
Risk Factor ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Case Control Study ◽  
Case Control ◽  
Equation Modeling ◽  
South American ◽  
Oral Clefts ◽  
Control Study

scholarly journals A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists’ Injuries: A Conceptual Model in a Case-Control Study

2020 ◽  
Author(s):  
Shila HASANZADEH ◽  
Mohammad ASGHARIJAFARABADI ◽  
Homayoun SADEGHI-BAZARGANI
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Case Control Study ◽  
Order Effect ◽  
Case Control ◽  
Equation Modeling ◽  
Mediating Role ◽  
Hyperactivity Disorder ◽  
Artificial Neural ◽  
Control Study

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 sam- pling. 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 motor- cycle 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, rid- ing 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 underly- ing 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 model- ing, 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.

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