Biomedical subjects

Dietmar Gesch

Publications and source records attributed to Dietmar Gesch.

23 records · Page 2Linked to original sources

PubMed2002

New regression equations for predicting the size of unerupted canines and premolars in a contemporary population.

The determination of a tooth-size to arch-length discrepancy in the mixed dentition requires an accurate prediction of the mesiodistal widths of the unerupted permanent teeth. This is an essential factor in treatment planning. The aim of this study was to validate Tanaka and Johnston's analysis on 600 Syrian patients aged 14-22 years. Tanaka and Johnston's tables, equations, and approximations were modified in order to improve the accuracy of the prediction. The correlation coefficients found between the size of the permanent mandibular central incisors and maxillary first molars (31, 41, 16, and 26) and the maxillary and mandibular canines and premolars were high (r = .72 and .74, respectively). New, more accurate prediction tables applicable at earlier ages, and new regression equations were constructed. In addition, new easier approximations were developed to allow the prediction of the size of the unerupted maxillary canines and premolars by adding 6 mm to the half-widths of teeth 31, 41, 16, and 26. The analogous prediction of the size of the unerupted mandibular canines and premolars was obtained by adding 5.5 mm to the half-widths of same teeth, 31, 41, 16, and 26.

Adolescent↗

PubMedDate not supplied

Prosthodontic status among old adults in Pomerania, related to income, education level, and general health (results of the Study of Health in Pomerania, SHIP).

PURPOSE: The aim of the study was to evaluate associations among prosthetic status, socioeconomic factors, and general health of subjects aged 55 to 79 years. The data were taken from the Study of Health in Pomerania (SHIP). MATERIALS AND METHODS: Socioeconomic information (age, sex, education level), medical information (number of diseases), and details on smoking and alcohol consumption were obtained. Prosthetic status in the maxilla and mandible was classified into complete denture (CD), removable partial denture (RPD), > or = 10 natural teeth or teeth replaced with fixed prosthodontics (10T+), and < or = nine natural teeth including fixed prosthodontics (9T-). RESULTS: The data of 1,877 subjects were evaluated. CDs in the maxilla were more frequent than in the mandible. RPDs were more frequent in the mandible and in the group aged 65 to 74 years. Of the individuals with a low education level, 47% had a CD in the maxilla, and only 21% had 10T+. However, of subjects with a high education level, 22% had a CD in the maxilla, and 54% had 10T+. The odds ratio of having a CD in the maxilla increased to 11.9 at the age of 75 to 79 years, compared to 0.6 at the age of 55 to 59 years. Logistic regression analyses showed that the risk of wearing a CD was significantly associated with old age, low education level, low income, smoking, and alcohol abuse, whereas the number of diseases (used as an indicator of general health) was not. CONCLUSION: Alcohol abuse, smoking, low education level, low income, and old age were significant predictors of wearing CDs.

Age Factors↗

PubMedDate not supplied

Study of Health in Pomerania (SHIP): Relationship among socioeconomic and general health factors and dental status among elderly adults in Pomerania.

OBJECTIVE: The aim of this study was to evaluate associations among the dental status, socioeconomic factors, and general health of 1,877 subjects between the ages of 55 and 79. METHOD AND MATERIALS: Socioeconomic information (age, sex, education level) and questions on smoking and alcohol abuse were taken from an interview; income and medical information (number of diseases) were taken from a self-administered questionnaire; and HbA1C and CDT (diabetes and alcoholism markers) were taken from blood analyses. RESULTS: Of the subjects, 73% had a low education level, and 27% of the subjects had a monthly income of < 1,000 Euro and 13% of > 2,000 Euro. Twenty-six percent of the subjects were edentulous, and 29% had 20 or more teeth. The odds ratio of edentulism increased to 9.0 (95% confidence interval = 7.0-11.5) at the ages of 75 to 79 years compared to ages 55 to 79. Logistic regression analyses showed that edentulism was significantly associated with age, low education level, low income, smoking, and alcohol abuse. However, the retention of more than 20 teeth was associated with age. CONCLUSIONS: Age, low income, low education level, smoking, and alcohol abuse seemed to be risk markers for edentulism; whereas, the number of diseases, diabetes, and gender were not.

Age Distribution↗

PubMedDate not supplied

Risk factors for high occlusal wear scores in a population-based sample: results of the Study of Health in Pomerania (SHIP).

PURPOSE: Using a population-based sample of the cross-sectional epidemiologic "Study of Health in Pomerania" (SHIP), this study evaluated whether certain occlusal and sociodemographic factors besides age and gender are risk factors for high dental wear. MATERIALS AND METHODS: Medical history and dental and sociodemographic parameters of 2,529 dentate subjects selected representatively and according to age distribution were checked for correlations with the occurrence of high occlusal wear symptoms using a multivariate logistic regression model. Occlusal wear was recorded using the attrition index by Ekfeldt et al and was age adjusted by determining high occlusal wear for every 10-year age group as index values > or = 90th percentile. RESULTS: The following independent variables were found to be correlated with high occlusal wear: male gender, odds ratio 2.2; frequent bruxism, odds ratio 2.5; loss of molar occlusal contact (Eichner classification), odds ratio from 1.5 to 3.1; edge-to-edge relation of incisors, odds ratio 1.7; unilateral buccolingual cusp-to-cusp relation, odds ratio 1.8; and unemployment, odds ratio 1.6. In contrast, anterior cross-bite, unilateral posterior cross-bite, and anterior crowding were protective for high occlusal wear levels, as shown by significantly reduced odds ratios. Gender-separated analysis showed that self-reported bruxism was a risk factor only for men. CONCLUSION: In addition to some occlusal factors, the main factors associated with occlusal wear were bruxism and gender.

Adult↗

PubMedDate not supplied

Do bivariate and multivariate cephalometric analyses lead to different results concerning the skeletal cause of postnormal occlusion?

In most cephalometric studies on the craniofacial pattern of untreated Class-ll-malocclusion subjects mean values were bivariately compared with the mean values of subjects with normal occlusion or Class I malocclusion, or with standard values. A multivariate approach, which does not merely compare two variables at a time but which analyses several skeletal variables at once, is lacking. The objective of the present study was in a first step to bivariately compare the sagittal and vertical skeletal pattern of Norwegian untreated postnormal occlusion patients with Class I children and in a second step to compare the results of the bivariate analysis with the results of a multivariate analysis on the same subjects. Previous studies showed in the majority of cases a retropositioned mandible rotated to the posterior with an indefinite positioned maxilla. A bivariate comparison of 138 Norwegian subjects with Class II/1 malocclusion and 80 children with Class I occlusion from the same region (mean age of both 9 years) confirmed the posterior position of the mandibles. However, a multivariate analysis (harmony-box-concept) of the same subjects yielded a different result. Simultaneously taking the sagittal and vertical position of both jaws and the cranial base flexure angle (NSBA) into consideration, the comparison of the two groups demonstrated a forward positioned maxilla as the skeletal cause of the Class II/1 malocclusion. The mandibles were on average normal positioned instead of retropositioned relative to other skeletal structures of the viscerocranium. Apparently standard bivariate tests and multivariate analysis methods may lead to different results which also have to be considered by the functionally treating orthodontist.

Cephalometry↗