Evidence map›Paper›PMID 31758485›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

Deriving an overall appearance domain score by applying bifactor IRT analysis to the BODY-Q appearance scales.

Daan Geerards, Lisa van den Berg, Andrea L Pusic, Maarten M Hoogbergen, Anne F Klassen, René R W J van der Hulst, Chris J Sidey-Gibbons

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Daan GeerardsPatient-Reported Outcomes, Value & Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Lisa van den BergPatient-Reported Outcomes, Value & Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Andrea L PusicPatient-Reported Outcomes, Value & Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Maarten M HoogbergenDepartment of Plastic and Reconstructive Surgery, Catharina Ziekenhuis, Eindhoven, The Netherlands.
Anne F KlassenDepartment of Pediatrics, McMaster University, Hamilton, ON, Canada.
René R W J van der HulstDepartment of Plastic and Reconstructive Surgery, Maastricht University Medical Center, Maastricht, The Netherlands.
Chris J Sidey-GibbonsPatient-Reported Outcomes, Value & Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA. cgibbons@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWith the BODY-Q, one can assess outcomes, such as satisfaction with appearance, in weight loss and body contouring patients using multiple scales. All scales can be used independently in any given combination or order. Currently, the BODY-Q cannot provide overall appearance scores across scales that measure a similar super-ordinate construct (i.e., overall appearance), which could improve the scales' usefulness as a benchmarking tool and improve the comprehensibility of patient feedback. We explored the possibility of establishing overall appearance scores, by applying a bifactor model to the BODY-Q appearance scales.

methodsIn a bifactor model, questionnaire items load onto both a primary specific factors and a general factor, such as satisfaction with appearance. The international BODY-Q validation patient sample (n = 734) was used to fit a bifactor model to the appearance domain. Factor loadings, fit indices, and correlation between bifactor appearance domain and satisfaction with body scale were assessed.

resultsAll items loaded on the general factor of their corresponding domain. In the appearance domain, all items demonstrated adequate item fit to the model. All scales had satisfactory fit to the bifactor model (RMSEA 0.045, CFI 0.969, and TLI 0.964). The correlation between the appearance domain summary scores and satisfaction with body scale scores was found to be 0.77. DISCUSSION: We successfully applied a bifactor model to BODY-Q data with good item and model fit indices. With this method, we were able to produce reliable overall appearance scores which may improve the interpretability of the BODY-Q while increasing flexibility.

Indexed as

BenchmarkingBody ImageHealth StatusHumansPatient SatisfactionPhysical Appearance, BodyPsychometricsQuality of LifeSurveys and QuestionnairesWeight LossAppearanceBifactorBody contouringBODY-QItem response theoryMassive weight lossObesityPatient-reported outcome measuresPsychometrics

Identifiers

PMID31758485
PMCPMC7142051

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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.