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What does “moderate pain” mean? Subgroups holding different conceptions of rating scales evaluate experimental pain differently

Becker, Susanne; Fuchs, Xaver; Schakib-Ekbatan, Karin 1; Schweiker, Marcel 1
1 Karlsruher Institut für Technologie (KIT)

Abstract:

Background

Pain ratings are almost ubiquitous in pain assessment, but their variability is high. Low correlations of continuous/numerical rating scales with categorical scales suggest that individuals associate different sensations with the same number on a scale, jeopardizing the interpretation of statistical results. We analysed individual conceptions of rating scales and whether these conceptions can be utilized in the analysis of ratings of experimental stimuli in pain‐free healthy individuals and people with reoccurring/persistent pain.
Methods

Using a free positioning task, healthy participants (N = 57) and people with reoccurring/persistent pain (N = 57) ad libitum positioned pain descriptors on lines representing intensity and un‐/pleasantness scales. Furthermore, participants rated experimental thermal stimuli on visual analogue scales with the same end anchors. A latent class regression approach was used to detect subgroups with different response patterns in the free positioning task, indicating different conceptions of pain labels, and tested whether these subgroups differed in their ratings of experimental stimuli.
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Verlagsausgabe §
DOI: 10.5445/IR/1000105476
Veröffentlicht am 17.02.2020
Originalveröffentlichung
DOI: 10.1002/ejp.1514
Scopus
Zitationen: 9
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Architektur – Fachgebiet Bauphysik und Technischer Ausbau (fbta)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1090-3801, 1532-2149
KITopen-ID: 1000105476
Erschienen in European journal of pain
Verlag John Wiley and Sons
Band 24
Heft 3
Seiten 625-638
Vorab online veröffentlicht am 29.11.2019
Schlagwörter categorical rating scales, chronic pain, latent class regression, numeric rating scales, pain descriptors, visual analogue scales
Nachgewiesen in Dimensions
Web of Science
Scopus
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