Evidence map›Paper›PMID 39591460›Full record

Observational studyClinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine2024

Factor Structure and Measurement Invariance Across Sex of the Sport Concussion Assessment Tool Symptom Inventory.

Bernadette A D'Alonzo, Ian J Barnett, Christina L Master, Roy H Hamilton, Douglas J Wiebe, Andrea L C Schneider, Ivy League-Big Ten Epidemiology of Concussion Study Investigators

Abstract readObservational Study
In one paragraph

Observational study in Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Bernadette A D'AlonzoDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-3760-2158
Ian J BarnettDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-3256-5703
Christina L MasterDepartment of Pediatrics and Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-6717-4270
Roy H HamiltonDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and.ORCID 0000-0001-8400-0726
Douglas J WiebeInjury Prevention Center, Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-6434-8693
Andrea L C SchneiderDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-0026-5052
Ivy League-Big Ten Epidemiology of Concussion Study Investigators

Funding

Establishing Mechanisms Between Traumatic Brain Injury and Dementia Using Epidemiology, Clinical Studies, Blood-Based Biomarkers, and Neuroimaging BiomarkersK23NS123340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider · 2022 to 2026
$1.1M
NINDS NIH HHS K23 NS123340NINDS NIH HHS K23NS123340
6 · The paper itself

Abstract

objectiveDescribe the factor structure of the 22-symptom Sport Concussion Assessment Tool (SCAT), using confirmatory factor analysis (CFA) for a priori hypothesized symptom domains. STUDY

designProspective observational study. SETTING/

participantsCollegiate student-athletes with concussion. INDEPENDENT VARIABLES: Symptoms were collected via the SCAT symptom checklist. OUTCOME MEASURES: We created symptom domains based on previous literature, guided by clinical expertise. To determine which symptom grouping best represent the data, we used CFA and compared a single-domain model to 3- and 6-domains. We examined fit statistics to assess relative and absolute model fit. Motivated by differences in the prevalence of some individual symptoms by sex in our study, we also examined model invariance by sex to determine if symptoms were being measured as part of the same underlying construct(s).

resultsAmong 1160 concussions (male, n = 667; female, n = 493) between 2015 and 2020, all 3 symptom structures seemed to fit the data well, with 3- and 6-domains fitting better than 1-domain. The 6-domain structure fit the data best with the following domains: headache, vestibulo-ocular, sensory, cognitive, sleep, and affective. All 3 structures showed configural and metric invariance by sex.

conclusionsWe demonstrate that the SCAT symptom structure is best represented through 6 specific factors; however, the 3-factor model also demonstrated good fit. Key differences between the 3- and 6-domain models may make 1 model more appropriate than the other depending on the research question being addressed. Symptom structures were configurally and metrically invariant by sex, meaning that symptom measures represent symptom domain factors in the same way across sex.

Indexed as

Athletic InjuriesBrain ConcussionSymptom AssessmentAdolescentAthletesFactor Analysis, StatisticalFemaleHumansMaleProspective StudiesSex FactorsYoung Adultmeasurement invariancesport concussionSport Concussion Assessment Toolsymptom domains

Identifiers

PMID39591460
PMCPMC12104475

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Registered trials

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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.