Evidence map›Paper›PMID 42547660›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

Examining the factor structure of health-related quality of life in spinal cord injury using confirmatory factor analysis and multidimensional scaling.

David S Tulsky, Aaron J Boulton, Pamela A Kisala, Callie E Tyner, Jerry Slotkin

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. 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. Examining the factor structure of health-related quality of life in spinal cord injury using confirmatory factor analysis and multidimensional scaling.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. Using confirmatory factor analysis to identify symptom clusters in individuals with acquired disabilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    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

5 authors.

David S TulskyCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA. dtulsky@udel.edu.ORCID http://orcid.org/0000-0002-4335-4509
Aaron J BoultonCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0001-7349-162X
Pamela A KisalaCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0003-3234-795X
Callie E TynerCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0003-2945-392X
Jerry SlotkinCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0001-8199-3056

Funding

Measuring Symptom Clusters in People with Sudden-Onset DisabilitiesR01NR018684 · NINR · UNIVERSITY OF DELAWARE · PI TULSKY, DAVID SCOTT · 2019 to 2024
$3.7M
NINR NIH HHS 5R01NR018684NINR NIH HHS R01 NR018684
6 · The paper itself

Abstract

purposeSpinal cord injury (SCI) is a complex medical condition and managing the multiple, co-occurring symptoms and functional and social limitations that follow SCI is a challenging task for clinical care providers. Understanding how the various post-SCI symptoms and limitations are interrelated or cluster together can inform patient care and improve clinical workflows. The purpose of this study was to determine the factor structure of the SCI-QOL measurement system and associated symptom clusters that affect health-related quality of life (HRQOL) in individuals with SCI.

methodsParticipants were individuals with SCI living in the community (> 1 year after injury) recruited from 8 rehabilitation hospitals in the U.S. who completed 18 Spinal Cord Injury - Quality of Life (SCI-QOL) outcomes measures representing domains of physical, medical, social, and emotional health. Two dimension-reduction techniques, confirmatory factor analysis and multidimensional scaling, were used to analyze the data.

resultsFactor analysis results suggest 7 common factors underlying the measures: Physical Symptoms, Physical Function, Negative Affect, Positive Affect, Social Health, Independence, and Pain Interference. The psychosocial factors of Negative Affect, Positive Affect, and Social Health were highly interrelated. Large correlations were also observed between Physical Function and Independence, and between Physical and Social Health. All other interrelations were small to moderate. Results from the multidimensional scaling analysis were largely consistent with those from the factor analysis.

conclusionStudy results will help inform the development of composite scores and symptom profiles in SCI, which will help researchers and clinicians better understand and manage symptoms following SCI.

Indexed as

Quality of LifeSpinal Cord InjuriesActivities of Daily LivingAdultFactor Analysis, StatisticalFemaleHealth StatusHumansMaleMiddle AgedPsychometricsSurveys and QuestionnairesUnited StatesCluster analysisFactor analysisSpinal cord injuriesSymptom cluster

Identifiers

PMID42547660
PMCPMC13433718

What Socratic holds

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LicenceCC BY
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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 Socratic graph.