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Confirmatory factor analysis of the Oral Health Impact Profile

Identifieur interne : 002625 ( Pmc/Curation ); précédent : 002624; suivant : 002626

Confirmatory 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 :

RBID : PMC:4138269

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 Validation Sample (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 Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact —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.


Url:
DOI: 10.1111/joor.12191
PubMed: 24909797
PubMed Central: 4138269

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PMC:4138269

Le document en format XML

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<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>
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<article-title>Confirmatory factor analysis of the Oral Health Impact Profile</article-title>
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<name>
<surname>John</surname>
<given-names>Mike T.</given-names>
</name>
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</contrib>
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<name>
<surname>Feuerstahler</surname>
<given-names>Leah</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<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>
</contrib>
</contrib-group>
<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>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>3</day>
<month>6</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>09</day>
<month>6</month>
<year>2014</year>
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<pub-date pub-type="ppub">
<month>9</month>
<year>2014</year>
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<month>9</month>
<year>2015</year>
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<volume>41</volume>
<issue>9</issue>
<fpage>644</fpage>
<lpage>652</lpage>
<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>
<kwd>factor structure</kwd>
<kwd>confirmatory factor analysis</kwd>
</kwd-group>
</article-meta>
</front>
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