Confirmatory factor analysis of the Oral Health Impact Profile
Identifieur interne : 000400 ( Pmc/Checkpoint ); précédent : 000399; suivant : 000401Confirmatory factor analysis of the Oral Health Impact Profile
Auteurs : Mike T. John [États-Unis] ; Leah Feuerstahler [États-Unis] ; Niels Waller [États-Unis] ; Kazuyoshi Baba [Japon] ; Pernilla Larsson [Suède] ; Asja Elebi [Croatie] ; D Ra Kende [Hongrie] ; Ksenija Rener-Sitar [Slovénie] ; Daniel R. Rei Mann [Allemagne]Source :
- Journal of oral rehabilitation [ 0305-182X ] ; 2014.
Abstract
Previous exploratory analyses suggest that the Oral Health Impact Profile (OHIP) consists of four correlated dimensions and that individual differences in OHIP total scores reflect an underlying higher-order factor. The aim of this report is to corroborate these findings in the Dimensions of Oral Health-Related Quality of Life (DOQ) Project, an international study of general population subjects and prosthodontics patients. Using the project's
Url:
DOI: 10.1111/joor.12191
PubMed: 24909797
PubMed Central: 4138269
Affiliations:
- Allemagne, Croatie, Hongrie, Japon, Slovénie, Suède, États-Unis
- Hambourg, Région de Kantō
- Hambourg, Tokyo
Links toward previous steps (curation, corpus...)
Links to Exploration step
PMC:4138269Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">Previous exploratory analyses suggest that the Oral Health Impact Profile (OHIP) consists of four correlated dimensions and that individual differences in OHIP total scores reflect an underlying higher-order factor. The aim of this report is to corroborate these findings in the Dimensions of Oral Health-Related Quality of Life (DOQ) Project, an international study of general population subjects and prosthodontics patients. Using the project's <italic>Validation Sample</italic>
(N=5,022), we conducted confirmatory factor analyses in a sample of 4,993 subjects with sufficiently complete data. In particular, we compared the psychometric performance of three models: a unidimensional model, a four-factor model, and a bifactor model that included one general factor and four group factors. Using model fit criteria and factor interpretability as guides, the four-factor model was deemed best in terms of strong item loadings, model fit (RMSEA=0.05, CFI=0.99), and interpretability. These results corroborate our previous findings that four highly correlated factors—which we have named <italic>Oral Function</italic>
, <italic>Orofacial Pain</italic>
, <italic>Orofacial Appearance</italic>
, and <italic>Psychosocial Impact</italic>
—can be reliably extracted from the OHIP item pool. However, the good fit of the unidimensional model and the high inter-factor correlations in the four-factor solution suggest that OHRQoL can also be sufficiently described with one score.</p>
</div>
</front>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0433604</journal-id>
<journal-id journal-id-type="pubmed-jr-id">5092</journal-id>
<journal-id journal-id-type="nlm-ta">J Oral Rehabil</journal-id>
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<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
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<title-group><article-title>Confirmatory factor analysis of the Oral Health Impact Profile</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>John</surname>
<given-names>Mike T.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Feuerstahler</surname>
<given-names>Leah</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
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<contrib contrib-type="author"><name><surname>Waller</surname>
<given-names>Niels</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Baba</surname>
<given-names>Kazuyoshi</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Larsson</surname>
<given-names>Pernilla</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Čelebić</surname>
<given-names>Asja</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kende</surname>
<given-names>Dóra</given-names>
</name>
<xref ref-type="aff" rid="A6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rener-Sitar</surname>
<given-names>Ksenija</given-names>
</name>
<xref ref-type="aff" rid="A7">7</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Reißmann</surname>
<given-names>Daniel R.</given-names>
</name>
<xref ref-type="aff" rid="A8">8</xref>
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<aff id="A1"><label>1</label>
Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, USA</aff>
<aff id="A2"><label>2</label>
Department of Psychology, University of Minnesota, Minneapolis, USA</aff>
<aff id="A3"><label>3</label>
Department of Prosthodontics, Showa University, Tokyo, Japan</aff>
<aff id="A4"><label>4</label>
Department of Prosthetic Dentistry, Institute for Postgraduate Dental Education, Jönköping, Sweden</aff>
<aff id="A5"><label>5</label>
Department of Prosthodontics, University of Zagreb, Zagreb, Croatia</aff>
<aff id="A6"><label>6</label>
Department of Prosthodontics, University of Pécs, Pécs, Hungary</aff>
<aff id="A7"><label>7</label>
Department of Prosthodontics, University of Ljubljana, Ljubljana, Slovenia</aff>
<aff id="A8"><label>8</label>
Department of Prosthetic Dentistry, Center for Dental and Oral Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany</aff>
<author-notes><corresp id="FN1">Corresponding author: Dr. Mike T John, Department of Diagnostic and Biological Sciences, University of Minnesota, 515 Delaware St. SE, Minneapolis, MN 55455, USA, <email>mtjohn@umn.edu</email>
</corresp>
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<pub-date pub-type="nihms-submitted"><day>3</day>
<month>6</month>
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<pmc-comment>elocation-id from pubmed: 10.1111/joor.12191</pmc-comment>
<abstract><p id="P1">Previous exploratory analyses suggest that the Oral Health Impact Profile (OHIP) consists of four correlated dimensions and that individual differences in OHIP total scores reflect an underlying higher-order factor. The aim of this report is to corroborate these findings in the Dimensions of Oral Health-Related Quality of Life (DOQ) Project, an international study of general population subjects and prosthodontics patients. Using the project's <italic>Validation Sample</italic>
(N=5,022), we conducted confirmatory factor analyses in a sample of 4,993 subjects with sufficiently complete data. In particular, we compared the psychometric performance of three models: a unidimensional model, a four-factor model, and a bifactor model that included one general factor and four group factors. Using model fit criteria and factor interpretability as guides, the four-factor model was deemed best in terms of strong item loadings, model fit (RMSEA=0.05, CFI=0.99), and interpretability. These results corroborate our previous findings that four highly correlated factors—which we have named <italic>Oral Function</italic>
, <italic>Orofacial Pain</italic>
, <italic>Orofacial Appearance</italic>
, and <italic>Psychosocial Impact</italic>
—can be reliably extracted from the OHIP item pool. However, the good fit of the unidimensional model and the high inter-factor correlations in the four-factor solution suggest that OHRQoL can also be sufficiently described with one score.</p>
</abstract>
<kwd-group><kwd>Oral health-related quality of life</kwd>
<kwd>Oral Health Impact Profile</kwd>
<kwd>dimensions</kwd>
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