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Demographic factors, denture status and oral health‐related quality of life
Author(s) -
John Mike T.,
Koepsell Thomas D.,
Hujoel Philippe,
Miglioretti Diana L.,
LeResche Linda,
Micheelis Wolfgang
Publication year - 2004
Publication title -
community dentistry and oral epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.061
H-Index - 101
eISSN - 1600-0528
pISSN - 0301-5661
DOI - 10.1111/j.0301-5661.2004.00144.x
Subject(s) - dentures , medicine , oral health , quality of life (healthcare) , dentistry , gerontology , demography , sociology , nursing
– Objectives: This study investigated the association between denture status, demographic factors, and oral health‐related quality of life (OHRQoL). Methods: OHRQoL was measured using the German version of the Oral Health Impact Profile (OHIP‐G, 53 items), which was administered in a personal interview to 2050 subjects (60% of eligible subjects responded) 16–79 years of age in a national survey. Median regression was used to analyze the influence of denture status (no, removable, complete dentures), age, gender, education (less than 10 years of schooling, 10–12 years, more than 12 years), and residential area (rural, urban) on the OHIP‐G summary score. Results: In bivariable analyses, compared to the base category, the OHIP‐G median increased 8.0 U for subjects with removable dentures, 20.0 U for subjects with complete dentures, 1.7 U for each 10‐year age period, 2.0 U for men, 3.0 U for less than 10 years of schooling (compared to ≥10 years.), and 1.0 U for urban areas ( P < 0.05 for all effects except for residential area). In the multivariable analysis, compared to subjects without dentures, subjects with removable dentures had a 7.5 (95% CI: 5.2–9.8) higher OHIP‐G median and subjects with complete dentures had a 18.5 (95% CI: 14.7–22.4) higher median when demographic variables were controlled. No demographic variables were statistically significant except for residential area ( P = 0.04). Conclusions: Denture status was a stronger predictor for impaired OHRQoL than demographic variables and rendered age and education almost negligible in their influence on OHRQoL.