Literature DB >> 27750469

Conceptual model and cluster analysis of behavioral symptoms in two cohorts of adults with traumatic brain injuries.

Shannon B Juengst1, Galen Switzer2,3, Byung Mo Oh4, Patricia M Arenth1, Amy K Wagner1,5,6.   

Abstract

INTRODUCTION: Behavioral changes often occur after moderate-to-severe traumatic brain injury (TBI) and can lead to poor health, psychosocial functioning, and quality of life. Challenges in evaluating these behaviors often result from the complexity and variability in the way they are conceptualized and defined. We propose and test a conceptual model that is specific to behavioral symptoms after TBI, to serve as a basis for better assessment and treatment. We hypothesized that clusters of individuals, with unique emotional, cognitive, and behavioral characteristics, would emerge that would illustrate this conceptual model.
METHODS: We conducted model-based cluster analyses in two cohorts, 6-months post-injury (n = 79) and >6 months post-injury (n = 62), of adults with moderate-to-severe TBI to explore the face validity of our conceptual model by evaluating how participants clustered with regard to emotional (Patient Health Questionnaire 9, Positive and Negative Affect Schedule), cognitive (neuropsychological test battery), and frontal behavioral (Frontal Systems Behavior Scale) symptoms.
RESULTS: In each cohort, unique clusters of participants emerged that differed significantly with regard to emotional state, cognition, and behavior (ps<.05). Those 6-months post-injury clustered along a general continuum of symptom severity in emotional and behavioral symptom domains, from no impairment to severe impairment. Clusters in the chronic cohort (>6 months) demonstrated a more complex pattern of symptoms; the most severe behavioral symptoms occurred in the context of severe emotional symptoms, even in the absence of cognitive impairment. However, problematic behavioral symptoms were also present in the context of severe cognitive impairment, even in the absence of emotional symptoms.
CONCLUSIONS: Emotional, cognitive, and behavioral characteristics were represented as expected, based on the proposed conceptual model of behavior. This conceptual model provides the basis for evaluating behavioral changes after moderate-to-severe TBI and identifying modifiable targets and relevant subpopulations for behavioral intervention, with the goal of improved evidence-based personalized medicine for this population.

Entities:  

Keywords:  Behavioral symptoms; Brain injuries; Cluster analysis; Cognition.; Emotions

Mesh:

Year:  2016        PMID: 27750469     DOI: 10.1080/13803395.2016.1240758

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  9 in total

1.  Development and content validity of the behavioral assessment screening tool (BASTβ).

Authors:  Shannon B Juengst; Lauren Terhorst; Brad E Dicianno; Janet P Niemeier; Amy K Wagner
Journal:  Disabil Rehabil       Date:  2018-01-05       Impact factor: 3.033

2.  "Frontal lobe syndrome"? Subtypes of acquired personality disturbances in patients with focal brain damage.

Authors:  Joseph Barrash; Donald T Stuss; Nazan Aksan; Steven W Anderson; Robert D Jones; Kenneth Manzel; Daniel Tranel
Journal:  Cortex       Date:  2018-05-16       Impact factor: 4.027

3.  Cross-Lagged Panel Analysis of Depression and Behavioral Dysfunction in the First Year After Moderate-to-Severe Traumatic Brain Injury.

Authors:  Shannon B Juengst; John M Myrga; Jesse R Fann; Amy K Wagner
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2017-03-15       Impact factor: 2.198

Review 4.  Artificial intelligence as an emerging technology in the current care of neurological disorders.

Authors:  Urvish K Patel; Arsalan Anwar; Sidra Saleem; Preeti Malik; Bakhtiar Rasul; Karan Patel; Robert Yao; Ashok Seshadri; Mohammed Yousufuddin; Kogulavadanan Arumaithurai
Journal:  J Neurol       Date:  2019-08-26       Impact factor: 4.849

5.  Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury.

Authors:  Shannon Juengst; Emily Grattan; Brittany Wright; Lauren Terhorst
Journal:  J Psychosoc Rehabil Ment Health       Date:  2021-04-29

Review 6.  A narrative literature review of depression following traumatic brain injury: prevalence, impact, and management challenges.

Authors:  Shannon B Juengst; Raj G Kumar; Amy K Wagner
Journal:  Psychol Res Behav Manag       Date:  2017-06-14

7.  Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.

Authors:  Rosa M S Visscher; Nina Feddermann-Demont; Fausto Romano; Dominik Straumann; Giovanni Bertolini
Journal:  PLoS One       Date:  2019-04-02       Impact factor: 3.240

8.  Neurobehavioral Symptoms in Community-Dwelling Adults With and Without Chronic Traumatic Brain Injury: Differences by Age, Gender, Education, and Health Condition.

Authors:  Shannon B Juengst; Andrew Nabasny; Lauren Terhorst
Journal:  Front Neurol       Date:  2019-11-20       Impact factor: 4.003

9.  Associations between frequent pain or headaches and neurobehavioral symptoms by gender and TBI severity.

Authors:  Karen J Meltzer; Shannon B Juengst
Journal:  Brain Inj       Date:  2021-01-04       Impact factor: 2.311

  9 in total

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