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Updated: Apr 28, 2026

Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
Confirmatory factor analysis of the Oral Health Impact Profile
M T John1, L Feuerstahler, N Waller
1Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN, USA.
The Oral Health Impact Profile (OHIP) reliably measures oral health-related quality of life (OHRQoL) through four key dimensions: Oral Function, Oro-facial Pain, Oro-facial Appearance, and Psychosocial Impact. A single OHRQoL score also effectively represents overall patient well-being.
Area of Science:
- Oral Health Research
- Psychometrics
- Quality of Life Measurement
Background:
- Exploratory analyses indicated the Oral Health Impact Profile (OHIP) comprises four correlated dimensions and a higher-order factor.
- The Dimensions of Oral Health-Related Quality of Life (DOQ) Project is an international study investigating general population and prosthodontic patient data.
- Validating the factor structure of the OHIP is crucial for accurate assessment of oral health-related quality of life (OHRQoL).
Purpose of the Study:
- To corroborate previous findings on the OHIP's factor structure within the DOQ Project.
- To compare the psychometric performance of unidimensional, four-factor, and bifactor models for the OHIP.
- To identify the most interpretable and best-fitting model for assessing OHRQoL.
Main Methods:
- Confirmatory factor analyses were performed on a validation sample of 4993 subjects from the DOQ Project.
- Three models were compared: unidimensional, four-factor, and bifactor (one general, four group factors).
- Model fit criteria (RMSEA, CFI) and factor interpretability guided the selection of the best model.
Main Results:
- The four-factor model demonstrated superior psychometric performance, with strong item loadings and excellent model fit (RMSEA = 0·05, CFI = 0·99).
- The four factors identified were Oral Function, Oro-facial Pain, Oro-facial Appearance, and Psychosocial Impact.
- High inter-factor correlations and good fit of the unidimensional model suggest a single OHRQoL score is also viable.
Conclusions:
- The findings corroborate that the OHIP reliably captures four distinct dimensions of OHRQoL.
- The four identified factors provide a detailed understanding of the multifaceted nature of OHRQoL.
- A unidimensional approach using a single OHIP score is also supported, offering a simplified measure of OHRQoL.
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