ABSTRACT
BACKGROUND: Biological age reflects the functional status of an individual. The purpose of the study was to develop a model for estimating oral biological age with oral and systemic parameters. METHODS: A total of 248 subjects who had a routine health check were assessed with oral and general clinical examination. Chi-square test was performed to screen oral clinical candidate indicators. General parameters were analyzed by Pearson correlation coefficient and principal component analysis to develop a general biological age score. A final comprehensive model of oral biological age score was established by combining oral and general biological age score. RESULTS: A total of eight oral indicators (mucosal blood blister, mucosal dryness, impacted tooth, missing teeth, residual crowns, dental calculus, gingival hyperemia, and gingival recession) and 10 general clinical indicators (triglyceride, creatinine, blood urea nitrogen, glucose, total cholesterol, mean erythrocyte hemoglobin concentration, mean erythrocyte hemoglobin, uric acid, body weight, and systolic blood pressure) were selected for oral and general biological age score, respectively (r > 0.25, P < 0.05). A model of comprehensive oral biological age score was then formed by principal component analysis: 0.046 triglyceride + 0.010 creatinine + 0.141 blood urea nitrogen + 0.048 glucose + 0.068 total cholesterol + 0.014 mean erythrocyte hemoglobin concentration + 0.082 mean erythrocyte hemoglobin + 0.001 uric acid + 0.020 body weight + 0.005 systolic blood pressure + 0.037 oral biological age score -10.908. The score was increased accordingly with CA. CONCLUSION: Oral biological age can be easily estimated clinically by the model of comprehensive oral biological age score using oral and systemic clinical parameters by general practitioners.
Subject(s)
Aging , Oral Health , Biomarkers/blood , HumansABSTRACT
Backround: Biological age score plays an essential role in the evalution of aging process and health status. The study was focused on clarifying relavance of health status scores of a population of Khangai mountain region with geographical and ecological specifics of the places they live. Goal: To determine the grades of aging (GA) and biological age score (BAS) among population (30-69 years) of Zavkhan aimags.Materials and Methods: We examined 1901 men and women aged 30-69 years old in Zavkhan aimags in 2012 and healthy subjects were assessed with physical, physiological variable. The BAS equation was employed to compute the individual BAScores for all subjects. Quantative data has been processed with the use of statistical data processing software SPSS-19. Results: Health scores of 92.1% of male in the age group of 30-39 years, 68.7% of male in the age group of 40-49 years had health problems (in level IV, V ). In all age groups 70.3% -98.6% had normal adaptation and adaptation functional tension. 54.2- 55.1% of both sex in the ages group 60-69 years had unsatisfactory adaptation.Conclusions: Aging process for women in age groups of 50-59, 60-69 years was significantly delayed or delayed. For men of 30-49 ages aging process was accelerated, for men of 50-69 years it was normal or delayed. Health scores of men in the age group of 30-39, 40-49 years is significantly at a lower level (IV,V) and health scores of women all age groups is significantly at a high level (IIII).
