Quality of life measured by OHIP-14 and GOHAI in elderly people from Bialystok, north-east Poland
Identifieur interne : 001773 ( Main/Exploration ); précédent : 001772; suivant : 001774Quality of life measured by OHIP-14 and GOHAI in elderly people from Bialystok, north-east Poland
Auteurs : Ewa Rodakowska [Pologne] ; Karolina Mierzy Ska [Pologne] ; Joanna Bagi Ska [Pologne] ; Jacek Jamiołkowski [Pologne]Source :
- BMC Oral Health [ 1472-6831 ] ; 2014.
Abstract
The Oral Health Impact Profile-14 (OHIP-14) and the Geriatric/General Oral Health Assessment Index (GOHAI) have never been compared for a group of the same subjects in the Polish population. The aim of the study was to compare the OHIP-14 and GOHAI measures.
178 independently living people over the age of 55 were included in the study. The GOHAI and OHIP-14 measures were used. Other variables included age, gender, self-ratings of oral general health, education, number of missing teeth, chewing problems and dry mouth.
The mean age of respondents was 70.8 years. The internal reliability (Cronbach’s alpha) showed a high internal consistency for both measures. Spearman’s rank correlation coefficient between the GOHAI and OHIP-14 scores was 0.81. Using the additive method of creating scores, 1.1% of respondents had the GOHAI score of zero, indicating no impact from oral conditions, while 13.5% of them had an OHIP-14 score of zero. Dental status, partial dentures, chewing problems, dry mouth and self-rated oral health were significantly associated with the results of the GOHAI and the OHIP-14 (Kruskal–Wallis test, Mann–Whitney U test). The numbers of preserved and missing teeth significantly correlated with the GOHAI and the OHIP-14, while DMF was significantly associated with the GOHAI only. 6 individuals with discrepant results were revealed. After the exclusion of the abovementioned patients, the internal reliability (Cronbach’s alpha) still showed a high internal consistency, and the correlation between the GOHAI and OHIP-14 scores using Spearman’s rank-correlation coefficient increased to 0.87. This phenomenon was identified as a “fatigue effect”.
There was a strong correlation between the GOHAI and the OHIP-14. Both instruments demonstrated good discriminant properties and helped capture the respondents’ oral health problems. The questionnaires should be randomly distributed to avoid the influence of “fatigue effect” on the results of a comparison of different measures.
Url:
DOI: 10.1186/1472-6831-14-106
PubMed: 25141902
PubMed Central: 4145358
Affiliations:
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Bialystok</wicri:regionArea><wicri:noRegion>Bialystok</wicri:noRegion></affiliation></author><author><name sortKey="Mierzy Ska, Karolina" sort="Mierzy Ska, Karolina" uniqKey="Mierzy Ska K" first="Karolina" last="Mierzy Ska">Karolina Mierzy Ska</name><affiliation wicri:level="1"><nlm:aff id="I2">NZOZ Przychodnia Stomatologiczna Lucyna Mierzyńska-Ładny dentine Stomatologia, Bialystok, Poland</nlm:aff><country xml:lang="fr">Pologne</country><wicri:regionArea>NZOZ Przychodnia Stomatologiczna Lucyna Mierzyńska-Ładny dentine Stomatologia, Bialystok</wicri:regionArea><wicri:noRegion>Bialystok</wicri:noRegion></affiliation></author><author><name sortKey="Bagi Ska, Joanna" sort="Bagi Ska, Joanna" uniqKey="Bagi Ska J" first="Joanna" last="Bagi Ska">Joanna Bagi Ska</name><affiliation wicri:level="1"><nlm:aff id="I3">Department of Dentistry Propaedeutics, Medical University of Bialystok, Bialystok, Poland</nlm:aff><country xml:lang="fr">Pologne</country><wicri:regionArea>Department of Dentistry Propaedeutics, Medical University of Bialystok, Bialystok</wicri:regionArea><wicri:noRegion>Bialystok</wicri:noRegion></affiliation></author><author><name sortKey="Jamiolkowski, Jacek" sort="Jamiolkowski, Jacek" uniqKey="Jamiolkowski J" first="Jacek" last="Jamiołkowski">Jacek Jamiołkowski</name><affiliation wicri:level="1"><nlm:aff id="I4">Department of Public Health, Medical University of Bialystok, Bialystok, Poland</nlm:aff><country xml:lang="fr">Pologne</country><wicri:regionArea>Department of Public Health, Medical University of Bialystok, Bialystok</wicri:regionArea><wicri:noRegion>Bialystok</wicri:noRegion></affiliation></author></analytic><series><title level="j">BMC Oral Health</title><idno type="eISSN">1472-6831</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>The Oral Health Impact Profile-14 (OHIP-14) and the Geriatric/General Oral Health Assessment Index (GOHAI) have never been compared for a group of the same subjects in the Polish population. The aim of the study was to compare the OHIP-14 and GOHAI measures.</p></sec><sec><title>Methods</title><p>178 independently living people over the age of 55 were included in the study. The GOHAI and OHIP-14 measures were used. Other variables included age, gender, self-ratings of oral general health, education, number of missing teeth, chewing problems and dry mouth.</p></sec><sec><title>Results</title><p>The mean age of respondents was 70.8 years. The internal reliability (Cronbach’s alpha) showed a high internal consistency for both measures. Spearman’s rank correlation coefficient between the GOHAI and OHIP-14 scores was 0.81. Using the additive method of creating scores, 1.1% of respondents had the GOHAI score of zero, indicating no impact from oral conditions, while 13.5% of them had an OHIP-14 score of zero. Dental status, partial dentures, chewing problems, dry mouth and self-rated oral health were significantly associated with the results of the GOHAI and the OHIP-14 (Kruskal–Wallis test, Mann–Whitney U test). The numbers of preserved and missing teeth significantly correlated with the GOHAI and the OHIP-14, while DMF was significantly associated with the GOHAI only. 6 individuals with discrepant results were revealed. After the exclusion of the abovementioned patients, the internal reliability (Cronbach’s alpha) still showed a high internal consistency, and the correlation between the GOHAI and OHIP-14 scores using Spearman’s rank-correlation coefficient increased to 0.87. This phenomenon was identified as a “fatigue effect”.</p></sec><sec><title>Conclusions</title><p>There was a strong correlation between the GOHAI and the OHIP-14. Both instruments demonstrated good discriminant properties and helped capture the respondents’ oral health problems. The questionnaires should be randomly distributed to avoid the influence of “fatigue effect” on the results of a comparison of different measures.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Liu, N" uniqKey="Liu N">N Liu</name></author><author><name sortKey="Zeng, L" uniqKey="Zeng L">L Zeng</name></author><author><name sortKey="Li, Z" uniqKey="Li Z">Z Li</name></author><author><name sortKey="Wang, J" uniqKey="Wang J">J Wang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Petersen, Pe" uniqKey="Petersen P">PE Petersen</name></author><author><name sortKey="Yamamoto, T" uniqKey="Yamamoto T">T Yamamoto</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Divaris, K" uniqKey="Divaris K">K Divaris</name></author><author><name sortKey="Ntounis, A" uniqKey="Ntounis A">A Ntounis</name></author><author><name sortKey="Marinis, A" uniqKey="Marinis A">A 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Ambrosano</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bagi Ska, J" uniqKey="Bagi Ska J">J Bagińska</name></author><author><name sortKey="Rodakowska, E" uniqKey="Rodakowska E">E Rodakowska</name></author><author><name sortKey="Wilczy Ska Borawska, M" uniqKey="Wilczy Ska Borawska M">M Wilczyńska-Borawska</name></author><author><name sortKey="Jamiolkowski, J" uniqKey="Jamiolkowski J">J Jamiołkowski</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Johansson, Ak" uniqKey="Johansson A">AK Johansson</name></author><author><name sortKey="Johansson, A" uniqKey="Johansson A">A Johansson</name></author><author><name sortKey="Unell, L" uniqKey="Unell L">L Unell</name></author><author><name sortKey="Ekback, G" uniqKey="Ekback G">G Ekback</name></author><author><name sortKey="Ordell, S" uniqKey="Ordell S">S Ordell</name></author><author><name sortKey="Carlsson, Ge" uniqKey="Carlsson G">GE Carlsson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Locker, D" uniqKey="Locker D">D Locker</name></author><author><name sortKey="Gibson, B" uniqKey="Gibson B">B Gibson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Carr, Aj" uniqKey="Carr A">AJ Carr</name></author><author><name sortKey="Gibson, B" uniqKey="Gibson B">B Gibson</name></author><author><name sortKey="Robinson, Pg" uniqKey="Robinson P">PG Robinson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Slade, Gd" uniqKey="Slade G">GD Slade</name></author><author><name sortKey="Sanders, Ae" uniqKey="Sanders A">AE Sanders</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ben Nun, P" uniqKey="Ben Nun P">P Ben-Nun</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Pologne</li></country></list><tree><country name="Pologne"><noRegion><name sortKey="Rodakowska, Ewa" sort="Rodakowska, Ewa" uniqKey="Rodakowska E" first="Ewa" last="Rodakowska">Ewa Rodakowska</name></noRegion><name sortKey="Bagi Ska, Joanna" sort="Bagi Ska, Joanna" uniqKey="Bagi Ska J" first="Joanna" last="Bagi Ska">Joanna Bagi Ska</name><name sortKey="Jamiolkowski, Jacek" sort="Jamiolkowski, Jacek" uniqKey="Jamiolkowski J" first="Jacek" last="Jamiołkowski">Jacek Jamiołkowski</name><name sortKey="Mierzy Ska, Karolina" sort="Mierzy Ska, Karolina" uniqKey="Mierzy Ska K" first="Karolina" last="Mierzy Ska">Karolina Mierzy Ska</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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