Evidence map›Paper›PMID 38079429›Full record

ArticlePloS one2023

Efficient assessment of brain fog and fatigue: Development of the Fatigue and Altered Cognition Scale (FACs).

Timothy R Elliott, Yu-Yu Hsiao, Kathleen Randolph, Randall J Urban, Melinda Sheffield-Moore, Richard B Pyles, Brent E Masel, Tamara Wexler, Traver J Wright

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Toward characterizing brain fog in long COVID: correlates and impact on measurement metrics.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Timothy R ElliottDepartment of Educational Psychology, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0002-6608-7714
Yu-Yu HsiaoDepartment of Individual, Family, and Community Education, University of New Mexico, Albuquerque, New Mexico, United States of America.
Kathleen RandolphDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, United States of America.
Randall J UrbanDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, United States of America.
Melinda Sheffield-MooreDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, United States of America.
Richard B PylesDepartment of Pediatrics, University of Texas Medical Branch, Galveston, Texas, United States of America.
Brent E MaselDepartment of Neurology, University of Texas Medical Branch, Galveston, TX, United States of America.
Tamara WexlerDepartment of Rehabilitation Medicine, New York University Langone Health, New York, NY, United States of America.
Traver J WrightDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0000-0001-7020-930X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Debilitating symptoms of fatigue and accompanying "brain fog" are observed among patients with various chronic health conditions. Unfortunately, an efficient and psychometrically sound instrument to assess these co-occurring symptoms is unavailable. Here, we report the development and initial psychometric properties of the Fatigue and Altered Cognition Scale (the FACs), a measure of self-reported central fatigue and brain fog. Traumatic brain injury (TBI) was chosen to model and develop the FACs due to research team expertise and established links between TBI and the symptom complex. Potential items were generated by researchers and clinicians with experience treating these symptoms, drawing from relevant literature and review of patient responses to measures from past and current TBI studies. The 20 candidate items for the FACs-ten each to assess altered cognition (i.e., brain fog) and central fatigue-were formatted on an electronic visual analogue response scale (eVAS) via an online survey. Demographic information and history of TBI were obtained. A total of 519 participants consented and provided usable data (average age = 40.23 years; 73% female), 204 of whom self-reported a history of TBI (75% reported mild TBI). Internal consistency and reliability values were calculated. Confirmatory factor analysis (CFA) examined the presumed two-factor structure of the FACs and a one-factor solution for comparison. A measurement invariance test of the two latent constructs (altered cognition, fatigue) among participants with and without TBI was conducted. All items demonstrated normal distribution. Cronbach's alpha coefficients indicated good internal consistency for both factors (α's = .95). Omega reliability values were favorable (α's = .95). CFA supported the presumed two-factor model and item loadings which outperformed the one-factor model. Measurement invariance found the two-factor structure was consistent between the two groups. Implications of these findings, study limitations, and potential use of the FACs in clinical research and practice are discussed.

Indexed as

Brain Injuries, TraumaticAdultCognitionFatigueFemaleHumansMaleMental FatiguePsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID38079429
PMCPMC10712873

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.