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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Community Dentistry ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Community Dentistry And Oral Epidemiology
Article . 2019 . Peer-reviewed
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Degrees of xerostomia? A Rasch analysis of the Xerostomia Inventory

Authors: Pedro Henrique Ribeiro Santiago; YoungHa Song; Kamal Hanna; Rahul Nair;

Degrees of xerostomia? A Rasch analysis of the Xerostomia Inventory

Abstract

AbstractObjective(s)The global demographic changes resulting in an ageing population require attention on xerostomia, as its prevalence appears to increase with age. The Xerostomia Inventory (XI) is a 11‐item instrument developed to evaluate the symptoms and behavioural components of xerostomia, while a shortened 5‐item version named Summated Xerostomia Inventory (SXI) was later proposed. The aim of the present study was to evaluate the construct validity of the XI and whether the SXI can provide a shortened version. Since previous studies focused only on dimensionality and reliability, we employed modern psychometric methodology to investigate properties such as differential item functioning (DIF) and targeting.Study DesignThe XI was applied to 164 middle‐aged to older adults who participated in a randomized controlled trial to investigate the effects of alcohol‐containing mouth rinse in Singapore. The psychometric properties of the XI were investigated with the Rasch model (Partial Credit Model). Overall model fit was evaluated with a summary chi‐square statistic. Item fit was evaluated with the Fit Residual, and values between −2.5 and 2.5 are considered acceptable. DIF by sex was evaluated through a two‐way ANOVA of the residuals.ResultsAfter collapsing the categories of “Hardly ever” and “Fairly often”, the test of global fit (χ2 (30) = 34.32, P = .27) indicated overall fit to the Rasch model. Since Fit Residuals were between −2 and 2, the fit of individual items was also adequate. No DIF was found between men and women, and targeting was adequate (μ = −0.56).ConclusionThe current study expanded the evidence on the XI and SXI validity and provides new implications for practice: a 3‐point categorization (“Never,” “Occasionally” and “Very often”) should be preferred rather than the original 5‐point categorization; the XI and SXI scores can be compared between men and women and will reflect true differences in xerostomia rather than measurement bias.

Related Organizations
Keywords

Aged, 80 and over, Male, Singapore, Psychometrics, Reproducibility of Results, Middle Aged, Xerostomia, Surveys and Questionnaires, Humans, Female, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
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