OBJECTIVES: The aim of this study was to determine the magnitude of the association between perceived oral and general health-related quality of life (O/HRQoL) in the German general population and to compare it with the correlation of both constructs in dental patients. METHODS: OHRQoL was assessed using the OHIP-49 and HRQoL using the SF-36 in a sample (N=811) representative of the adult general population of Germany (age: 18-99 years), and in a sample (N=313) of consecutive adult dental patients at least 18 years of age seeking prosthodontic care or attending their annual checkup. Correlation between OHRQoL and HRQoL was computed using structural equation modelling-based confirmatory factor analysis and path analysis. Based on the correlation coefficients, the coefficients of determination (r(2)) were calculated. RESULTS: Correlation between OHRQoL and HRQoL after partialling out effects of age, gender and level of depression in general population subjects was rho=0.28 resulting in an explanation of the variance of HRQoL by OHRQoL of 7.8%. In dental patients the correlation coefficient was somewhat lower (rho=0.24) corresponding to an explanation of the variance of HRQoL by OHRQoL of 5.6%. Difference between correlation coefficients was not significant (p=0.514). CONCLUSION: Our findings provide evidence for the inseparable, intertwined relationship between perceived oral and general health.
OBJECTIVES: The aim of this study was to determine the magnitude of the association between perceived oral and general health-related quality of life (O/HRQoL) in the German general population and to compare it with the correlation of both constructs in dental patients. METHODS:OHRQoL was assessed using the OHIP-49 and HRQoL using the SF-36 in a sample (N=811) representative of the adult general population of Germany (age: 18-99 years), and in a sample (N=313) of consecutive adult dental patients at least 18 years of age seeking prosthodontic care or attending their annual checkup. Correlation between OHRQoL and HRQoL was computed using structural equation modelling-based confirmatory factor analysis and path analysis. Based on the correlation coefficients, the coefficients of determination (r(2)) were calculated. RESULTS: Correlation between OHRQoL and HRQoL after partialling out effects of age, gender and level of depression in general population subjects was rho=0.28 resulting in an explanation of the variance of HRQoL by OHRQoL of 7.8%. In dental patients the correlation coefficient was somewhat lower (rho=0.24) corresponding to an explanation of the variance of HRQoL by OHRQoL of 5.6%. Difference between correlation coefficients was not significant (p=0.514). CONCLUSION: Our findings provide evidence for the inseparable, intertwined relationship between perceived oral and general health.
Authors: I M Schüler; B Bock; R Heinrich-Weltzien; K Bekes; M Rudovsky; Ch Filz; C Ligges Journal: Clin Oral Investig Date: 2017-02-16 Impact factor: 3.573
Authors: Mike T John; Daniel R Reißmann; Leah Feuerstahler; Niels Waller; Kazuyoshi Baba; Pernilla Larsson; Asja Čelebić; Gyula Szabo; Ksenija Rener-Sitar Journal: J Prosthodont Res Date: 2014-01-17 Impact factor: 4.642
Authors: Samir Abou-Ayash; Nadine von Maltzahn; Nicole Passia; Sandra Freitag-Wolf; Daniel R Reissmann; Ralph G Luthardt; Torsten Mundt; Michael Raedel; Peter Rammelsberg; Stefan Wolfart; Matthias Kern Journal: Clin Oral Investig Date: 2019-06-27 Impact factor: 3.573
Authors: Gerhard Schmalz; Donya Douglas; David Douglas; Susann Patschan; Daniel Patschan; Gerhard A Müller; Rainer Haak; Jan Schmickler; Dirk Ziebolz Journal: Clin Oral Investig Date: 2018-02-07 Impact factor: 3.573
Authors: Vasoontara Yiengprugsawan; Tewarit Somkotra; Sam-ang Seubsman; Adrian C Sleigh Journal: Health Qual Life Outcomes Date: 2013-10-18 Impact factor: 3.186