Literature DB >> 30836017

Variability in daily self-reported emotional symptoms and fatigue measured over eight weeks in community dwelling individuals with traumatic brain injury.

Shannon B Juengst1,2, Lauren Terhorst3,4, Chung Lin Kew1,2, Amy K Wagner5,6,7.   

Abstract

OBJECTIVE: To investigate within-person variability in daily self-reported emotional and fatigue symptoms and factors associated with high within-person variability among individuals with chronic traumatic brain injury (TBI).
DESIGN: This was a prospective descriptive pilot study of n = 18 adults with chronic TBI (2-27 years post-injury) who owned and could independently use an Apple or Android device.
METHODS: Participants completed daily assessments for 8 weeks via smartphone. Outcome measures included the Positive and Negative Affect Schedule, Patient Health Questionnaire-2, Generalized Anxiety Disorder-2, and a 7-point fatigue rating. We examined within-person variability over time using individual Multilevel Linear Models. We categorized within-person variability as High or Low based on individual standard deviations in relationship to sample standard deviation.
RESULTS: Significant temporal within-person variability occurred for all measures. High variability was associated with more symptom reporting versus Low variability, and variability was associated with sex (High variability: 88% women; Low variability 90% men).
CONCLUSIONS: Symptom measurement at a single time point among adults with chronic TBI may not capture day-to-day symptom fluctuation and may misidentify individuals in need of intervention. Assessing symptom profiles over time to capture temporal and individual variability may provide a more ecologically valid measure for managing long-term symptoms after TBI.

Entities:  

Keywords:  Traumatic brain injury; ecological momentary assessment; emotions; fatigue; smartphone

Mesh:

Year:  2019        PMID: 30836017     DOI: 10.1080/02699052.2019.1584333

Source DB:  PubMed          Journal:  Brain Inj        ISSN: 0269-9052            Impact factor:   2.311


  6 in total

1.  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 2.  A systematic review of engagement reporting in remote measurement studies for health symptom tracking.

Authors:  Katie M White; Charlotte Williamson; Nicol Bergou; Carolin Oetzmann; Valeria de Angel; Faith Matcham; Claire Henderson; Matthew Hotopf
Journal:  NPJ Digit Med       Date:  2022-06-29

3.  The Nanotheranostic Researcher's Guide for Use of Animal Models of Traumatic Brain Injury.

Authors:  Brandon Z McDonald; Connor C Gee; Forrest M Kievit
Journal:  J Nanotheranostics       Date:  2021-12-06

Review 4.  Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review.

Authors:  Shannon B Juengst; Lauren Terhorst; Andrew Nabasny; Tracey Wallace; Jennifer A Weaver; Candice L Osborne; Suzanne Perea Burns; Brittany Wright; Pey-Shan Wen; Chung-Lin Novelle Kew; John Morris
Journal:  Int J Environ Res Public Health       Date:  2021-02-23       Impact factor: 3.390

Review 5.  Synthesis of evidence on the use of ecological momentary assessments to monitor health outcomes after traumatic injury: rapid systematic review.

Authors:  Rebecca J Mitchell; Rory Goggins; Reidar P Lystad
Journal:  BMC Med Res Methodol       Date:  2022-04-22       Impact factor: 4.612

Review 6.  Remote Follow-Up Technologies in Traumatic Brain Injury: A Scoping Review.

Authors:  Brandon G Smith; Stasa Tumpa; Orla Mantle; Charlotte J Whiffin; Harry Mee; Davi J Fontoura Solla; Wellingson S Paiva; Virginia F J Newcombe; Angelos G Kolias; Peter J Hutchinson
Journal:  J Neurotrauma       Date:  2022-10       Impact factor: 4.869

  6 in total

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