scholarly journals Extended Education and Externalizing Behavior: Utilization Intensity, Interaction Quality and Peers as Possible Moderators

2016 ◽  
Vol 4 (2) ◽  
pp. 92-109 ◽  
Author(s):  
Lukas Frei ◽  
Marianne Schuepbach ◽  
Wim Nieuwenboom ◽  
Benjamin von Allmen
2014 ◽  
Author(s):  
Kriston B. Schellinger ◽  
Laura E. Murphy ◽  
Rebekah L. Hudock ◽  
J. Carolyn Graff ◽  
Frederick B. Palmer ◽  
...  

2009 ◽  
Author(s):  
C. Suveg ◽  
J. L. Hudson ◽  
G. Brewer ◽  
E. Flannery-Schroeder ◽  
E. Gosch ◽  
...  

2011 ◽  
Author(s):  
Luis A. JimeNez-Camargo ◽  
Tia Holtzclaw ◽  
John E. Lochman

2019 ◽  
Author(s):  
Gökmen Arslan

2019 ◽  
Author(s):  
Teresa Carvalho ◽  
Carolina da Motta ◽  
José Pinto Gouveia

<p>The PCL (Weathers et al., 1993) is a useful and widely used measure to assess PTSD symptoms in clinical and research contexts, exhibiting adequate psychometric properties across its several versions and translations (e. g. Carvalho et al., 2015; Wilkins et al., 2011). The current study analyzed the psychometric properties (latent structure, internal consistency, temporal reliability, and convergent validity) of the Portuguese version of the PCL for the DSM-5 (PCL-5, Weathers et al., 2013) in a sample of firefighters. This study also aimed to contribute with empirical data to clarify the best latent structure of DSM-5 PTSD symptoms. Specifically, the DSM-5 four-factor model and other competing models for PTSD symptoms (four-factor Dysphoria model, five-factor Dysphoric Arousal model, six-factor Anhedonia model, six-factor Externalizing Behavior model, and seven-factor Hybrid model) applied to PCL-5 were analyzed and compared in this paper.<br></p>


2020 ◽  
Author(s):  
Joseph D. Deak ◽  
D. Angus Clark ◽  
Mengzhen Liu ◽  
C. Emily Durbin ◽  
William G. Iacono ◽  
...  

Objective: Molecular genetic studies of alcohol and nicotine have identified many genome-wide loci. We examined the predictive utility of drinking and smoking polygenic scores (PGS) for alcohol and nicotine use from late childhood to early adulthood, substance-specific versus broader-liability PGS effects, and if PGS performance varied between consumption versus pathological use. Methods: Latent growth curve models with structured residuals were used to assess the predictive utility of drinks per week and regular smoking PGS for measures of alcohol and nicotine consumption and problematic use from age 14 to 34. PGSs were generated from the largest discovery sample for alcohol and nicotine use to date (i.e., GSCAN), and examined for associations with alcohol and nicotine use in the Minnesota Twin Family Study (N=3225).Results: The drinking PGS was a significant predictor of age 14 problematic alcohol use and increases in problematic use during young adulthood. The smoking PGS was a significant predictor for all nicotine use outcomes. After adjusting for the effects of both PGSs, the smoking PGS demonstrated incremental predictive utility for most alcohol use outcomes and remained a significant predictor of nicotine use trajectories. Conclusions: Higher PGS for drinking and smoking were associated with more problematic levels of substance use longitudinally. The smoking PGS seems to capture both nicotine-specific and non-specific genetic liability for substance use, and may index genetic risk for broader externalizing behavior. Validation of PGS within longitudinal designs may have important clinical implications should future studies support the clinical utility of PGS for substance use disorders.


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