BACKGROUND: OHRQoL comprises an apparently complex array of biological and psychological aspects of oral health. AIM: To determine the relative contribution of sociodemographic, psychosocial, or clinical characteristics to OHRQoL in adolescents. DESIGN: A cross-sectional study of Dunedin adolescents was carried out. Each participant completed a self-administered questionnaire and underwent a clinical examination. Information collected included sociodemographic characteristics (sex, ethnicity, and household deprivation), psychosocial characteristics (self-esteem, psychological well-being, somatisation, and self-perception scores for body image), and clinical measures (DMFS and Dental Aesthetic Index). OHRQoL was measured using the 16-item impact short-form CPQ₁₁₋₁₄ questionnaire. Linear regression analyses used the CPQ₁₁₋₁₄ as the dependent variable, with independent variables entered in related groups. RESULTS: Three hundred and fifty-three children (48.4% females) took part, representing a 58.8% response rate. Linear regression modelling of the CPQ₁₁₋₁₄ score showed that sociodemographic characteristics were predictors, but the model's overall explanatory power was low (R(2) = 0.05). This increased slightly with inclusion of the clinical variables. When the psychosocial variables were added, however, the R(2) increased to 0.50; all psychosocial variables (except self-esteem) were strongly associated with the CPQ₁₁₋₁₄ score. Psychological well-being was the strongest predictor. CONCLUSION: Psychosocial characteristics are important contributors to OHRQoL in adolescents and appear to be more important than sociodemographic or clinical characteristics.
BACKGROUND:OHRQoL comprises an apparently complex array of biological and psychological aspects of oral health. AIM: To determine the relative contribution of sociodemographic, psychosocial, or clinical characteristics to OHRQoL in adolescents. DESIGN: A cross-sectional study of Dunedin adolescents was carried out. Each participant completed a self-administered questionnaire and underwent a clinical examination. Information collected included sociodemographic characteristics (sex, ethnicity, and household deprivation), psychosocial characteristics (self-esteem, psychological well-being, somatisation, and self-perception scores for body image), and clinical measures (DMFS and Dental Aesthetic Index). OHRQoL was measured using the 16-item impact short-form CPQ₁₁₋₁₄ questionnaire. Linear regression analyses used the CPQ₁₁₋₁₄ as the dependent variable, with independent variables entered in related groups. RESULTS: Three hundred and fifty-three children (48.4% females) took part, representing a 58.8% response rate. Linear regression modelling of the CPQ₁₁₋₁₄ score showed that sociodemographic characteristics were predictors, but the model's overall explanatory power was low (R(2) = 0.05). This increased slightly with inclusion of the clinical variables. When the psychosocial variables were added, however, the R(2) increased to 0.50; all psychosocial variables (except self-esteem) were strongly associated with the CPQ₁₁₋₁₄ score. Psychological well-being was the strongest predictor. CONCLUSION:Psychosocial characteristics are important contributors to OHRQoL in adolescents and appear to be more important than sociodemographic or clinical characteristics.
Authors: Ira Sierwald; Mike T John; Oliver Schierz; Paul-Georg Jost-Brinkmann; Daniel R Reissmann Journal: J Orofac Orthop Date: 2015-09 Impact factor: 1.938
Authors: Azza A El-Housseiny; Farah A Alsadat; Najlaa M Alamoudi; Osama M Felemban; Rana H Mosli; Omar I Saadah Journal: Qual Life Res Date: 2022-08-02 Impact factor: 3.440
Authors: Ira Sierwald; Mike T John; Darius Sagheri; Julia Neuschulz; Elisabeth Schüler; Christian Splieth; Paul-Georg Jost-Brinkmann; Daniel R Reissmann Journal: Clin Oral Investig Date: 2015-06-09 Impact factor: 3.573