Conceptualizing oral health and oral health-related quality of life.
This investigation considers oral health from a health-related quality of life perspective using a multidimensional concept representing a combination of impairment, function, perceptions, and/or opportunity. A subset of dentate individuals aged 18 and older from a national probability sample of the U.S. was selected for the reported analysis with data available from personal interviews, self-administered questionnaires, and oral examinations. Impairment was represented by clinically assessed active diseases and sequelae of diseases and self-reported acute symptoms. Other domains are represented by self-reported problems with function, perception of control over oral health, satisfaction with teeth, value attributed to oral health, and opportunity to obtain dental care. Principal components analysis with varimax rotation provided a structure to interpret four factors: accumulated oral neglect, self-perceived symptoms and problems, reparable oral diseases, and oral health values and priorities. Approximately 50% of the variance was explained by these four factors. Factor-based scores, envisioned as an index or summary measure representing the combination of variables identified in each factor, were used to assess potential validity. Whites had lower levels of accumulated oral neglect, fewer symptoms, and less reparable oral disease, but similar oral health values, than non-whites. Level of formal education was associated with each of the four factor-based scores. Age was directly associated with accumulated oral neglect, but the youngest age group had significantly more reparable oral diseases. Individuals with a dental visit in the past two years had considerably less accumulated oral neglect, fewer self-perceived problems, less reparable oral disease, and higher values of oral health than those without a dental visit in the past two years. Ordinary least square regressions were performed on each of the four factor-based scores using eight sociodemographic and economic variables. All four regression models were significant, with only the education variable being significant across all models. These analyses provide no evidence for one unique factor representing oral health. Rather, a conceptual framework for oral health appears to be represented by a set of reasonably independent components, including two groups of clinically assessed oral health, which together more fully represent oral health than any one single variable. Conceptualizing and measuring oral health multidimensionally leads us closer to examining it as part of general health.
Gift
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National Institutes of Health, Bethesda, MD 20892-6401, USA.
Atchison
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Dayton
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D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D001294:Attitude to Health / Q000208:ethnology; D003430:Cross-Sectional Studies; D016208:Databases, Factual; D003753:Dental Health Surveys; D004522:Educational Status; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D008875:Middle Aged; D009059:Mouth Diseases / Q000453:epidemiology*; D009819:Office Visits / Q000706:statistics & numerical data; D009909:Oral Health; D009910:Oral Hygiene / Q000523:psychology / Q000706:statistics & numerical data; D011788:Quality of Life; D015203:Reproducibility of Results; D012494:Sampling Studies; D014481:United States / Q000453:epidemiology