EdenteV2, Main, Exploration, bibRecord, 001A80

Factor Analyses of the Oral Health Impact Profile - Overview and studied population

Identifieur interne : 001A80 ( Main/Exploration ); précédent : 001A79; suivant : 001A81

Factor Analyses of the Oral Health Impact Profile - Overview and studied population

Auteurs : Mike T. John [États-Unis] ; Daniel R. Rei Mann [Allemagne] ; Leah Feuerstahler [États-Unis] ; Niels Waller [États-Unis] ; Kazuyoshi Baba [Japon] ; Pernilla Larsson [Suède] ; Asja Elebi [Croatie] ; Gyula Szabo [Hongrie] ; Ksenija Rener-Sitar [Slovénie]

Source :

Journal of prosthodontic research [ 1883-1958 ] ; 2014.

RBID : PMC:4024446

Abstract

Purpose

A desideratum of oral health-related quality of life (OHRQoL) instruments - such as the Oral Health Impact Profile (OHIP) - is that they accurately reflect the structure of the measured construct(s). With this goal in mind, the Dimensions of Oral Health-Related Quality of Life (DOQ) Project was proposed to investigate the number and nature of OHRQoL dimensions measured by OHIP. In this report, we describe our aggregate data set for the factor analyses in the project, which consists of responses to the 49-item OHIP from general population subjects and prosthodontics patients from 6 countries, including a large age range of adult subjects and both genders.

Material and methods

The DOQ Project's aggregate data set combines data from 35 individual studies conducted in Croatia, Germany, Hungary, Japan, Slovenia, and Sweden.

Results

The combined data set includes 10,778 OHIPs from 9,348 individuals (N=6,349 general population subjects, N=2,999 prosthodontic patients). To elucidate the OHIP latent structure, the aggregated data were split into a Learning Sample (N=5,173) for exploratory analyses and a Validation Sample (N=5,022) for confirmatory analyses. Additional data (N=583) were assigned to a third data set.

Conclusion

The Dimensions of Oral Health-Related Quality of Life Project contains a large amount of international data and is representative of populations where OHIP is intended to be used. It is well-suited to assess the dimensionality of the questionnaire.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024446

DOI: 10.1016/j.jpor.2013.11.002
PubMed: 24440578
PubMed Central: 4024446

Affiliations:

Allemagne, Croatie, Hongrie, Japon, Slovénie, Suède, États-Unis
Hambourg, Région de Kantō
Hambourg, Tokyo

Le document en format XML

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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Purpose</title>
<p id="P1">A desideratum of oral health-related quality of life (OHRQoL)
instruments - such as the Oral Health Impact Profile (OHIP) - is that they
accurately reflect the structure of the measured construct(s). With this
goal in mind, the Dimensions of Oral Health-Related Quality of Life (DOQ)
Project was proposed to investigate the number and nature of OHRQoL
dimensions measured by OHIP. In this report, we describe our aggregate data
set for the factor analyses in the project, which consists of responses to
the 49-item OHIP from general population subjects and prosthodontics
patients from 6 countries, including a large age range of adult subjects and
both genders.</p>
</sec>
<sec id="S2"><title>Material and methods</title>
<p id="P2">The DOQ Project's aggregate data set combines data from 35 individual
studies conducted in Croatia, Germany, Hungary, Japan, Slovenia, and
Sweden.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P3">The combined data set includes 10,778 OHIPs from 9,348 individuals
(N=6,349 general population subjects, N=2,999 prosthodontic patients). To
elucidate the OHIP latent structure, the aggregated data were split into a
Learning Sample (N=5,173) for exploratory analyses and a Validation Sample
(N=5,022) for confirmatory analyses. Additional data (N=583) were assigned
to a third data set.</p>
</sec>
<sec id="S4"><title>Conclusion</title>
<p id="P4">The Dimensions of Oral Health-Related Quality of Life Project
contains a large amount of international data and is representative of
populations where OHIP is intended to be used. It is well-suited to assess
the dimensionality of the questionnaire.</p>
</sec>
</div>
</front>
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Factor Analyses of the Oral Health Impact Profile - Overview and studied population

Factor Analyses of the Oral Health Impact Profile - Overview and studied population

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Abstract

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