RESEARCH ARTICLE
Oral Health Impact Profile Scale Applied to Periodontal Disease: Relationship with Sociodemographic Variables in General Population and Clinic Samples from Monterrey, Mexico
Norma Idalia Rodríguez Franco1, *, José Moral de la Rubia2
Article Information
Identifiers and Pagination:
Year: 2018Volume: 12
First Page: 1152
Last Page: 1161
Publisher ID: TODENTJ-12-1152
DOI: 10.2174/1874210601812011152
Article History:
Received Date: 18/9/2018Revision Received Date: 13/11/2018
Acceptance Date: 9/12/2018
Electronic publication date: 13/12/2018
Collection year: 2018
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background:
The Oral Health Impact Profile applied to Periodontal Disease (OHIP-14-PD) shows good metric properties and great potential for its application in research and clinical practice.
Objective:
To evaluate OHIP-14-PD capability to detect associations with sociodemographic variables, to verify whether the OHIP-14-PD can differentiate between a General Population Sample (GPS) and a Dental Clinic Sample (DCS), and to establish whether there are interaction effects between the two samples and sociodemographic variables.
Methods:
The OHIP-14-PD was applied to two non-probability samples of 249 dental patients and 256 general adult population from Monterrey, Mexico. A validation study was done with a non-experimental cross-sectional design.
Results:
Occupation and age were related to OHIP-14-PD, although this last variable was redundant with the first one. In the GPS, the subjective socioeconomic status had a negative correlation with the OHIP-14-PD, but not in the DCS. The marital status showed significant association in DCS and significant interaction with the samples. Being married acted as a risk factor in the DCS, but as a protective factor in the GPS. Sex and education level were independent of the OHIP-14-PD. The expectation of discriminant validity of the OHIP-14-PD between the two samples was confirmed.
Conclusion:
We conclude that the OHIP-14-PD presented evidence of discriminant validity. Its relation to sociodemographic variables was limited, being more related to occupation and marital status.
