Traumatic brain injury and PTSD screening efforts evaluated using latent class analysis.

2014 ◽  
Vol 59 (1) ◽  
pp. 68-78 ◽  
Author(s):  
Hilary J. Aralis ◽  
Caroline A. Macera ◽  
Mitchell J. Rauh ◽  
Andrew J. MacGregor
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

scholarly journals Latent Class Analysis to Classify Injury Severity in Pediatric Traumatic Brain Injury

2020 ◽  
Vol 37 (13) ◽  
pp. 1512-1520
Author(s):  
Heather T. Keenan ◽  
Amy E. Clark ◽  
Richard Holubkov ◽  
Charles S. Cox ◽  
Rajan P. Patel ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Injury Severity ◽  
Class Analysis ◽  
Pediatric Traumatic Brain Injury

scholarly journals Latent Class Analysis of Brain Injury Symptomatology among College Students

2017 ◽  
Vol 04 (01) ◽  
pp. e14-e22 ◽  
Author(s):  
Karen Hux ◽  
Jessica Brown ◽  
Matthew Lambert
Keyword(s):  
College Students ◽  
Brain Injury ◽  
Latent Class Analysis ◽  
General Health ◽  
Latent Class ◽  
Class Analysis ◽  
Grade Point ◽  
Significant Difference ◽  
Mild Brain Injury ◽  
Mean Equality

Background Incidents potentially causing mild brain injury (BI) are common, and most people recover rapidly; however, a subset experiences long-lasting challenges. Objective This study used latent class analysis to identify a subset of college students presenting chronic symptomatology consistent with a mild BI diagnosis and pseudo-class mean equality tests to examine relations between latent classes and BI event and academic outcome variables. Methods Participants were 118/423 undergraduates self-reporting possible mild BIs through a survey about general health, daily habits, academic performance, and potential BI events. Twenty-four cognitive, physiological, or socio-emotional sequelae served to identify symptomatology profiles. Results A three-class model including 11% with high symptomatology, 49% with moderate symptomatology, and 40% with negligible symptomatology provided excellent fit and entropy. Symptoms best separating high and moderate classes were memory, thinking speed, new learning, and attention problems. Mean equality tests revealed no significant difference in number of BI events across classes, but high symptomatology respondents were significantly less likely to lose consciousness and significantly more likely to have lower grade point averages and to have failed courses than moderate symptomatology respondents. Discussion Cognitive problems are paramount in distinguishing college students with chronic high symptomatology following BI from those with moderate and negligible symptomatology. Because high symptomatology class individuals differ academically from their counterparts, a functional consequence of mild BI appears to exist. Conclusion About 1 in 10 undergraduate students self-reporting BI events experiences chronic symptomatology affecting general health and academic achievement. Because they may benefit from supportive services, accurate identification is critical.

Latent Class Analysis of Psychosocial and Psychophysiological Risks for Drinking

2009 ◽  
Author(s):  
Tomoko Udo ◽  
Jennifer F. Buckman ◽  
Marsha E. Bates ◽  
Evgeny Vaschillo ◽  
Bronya Vaschillo ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

Bystander intentions to intervene and previous sexual violence education: A latent class analysis.

2019 ◽  
Vol 9 (1) ◽  
pp. 117-126
Author(s):  
Sarah McMahon ◽  
Peter Treitler ◽  
N. Andrew Peterson ◽  
Julia O'Connor
Keyword(s):  
Latent Class Analysis ◽  
Sexual Violence ◽  
Latent Class ◽  
Class Analysis
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