Systematic Review of the Prevalence of Tooth Wear in Children and Adolescents
Department of Oral Function and Prosthetic Dentistry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. c.kreulen @ dent.umcn.nl Caries Research
(Impact Factor: 2.28).
05/2010; 44(2):151-159. DOI: 10.1159/000308567
Data on the prevalence of tooth wear among children and adolescents are inconsistent. Given the impact of extensive tooth wear for over a lifetime, evidence on the extent is required. The aim was to systematically review the literature on the prevalence of tooth wear in children and adolescents. A PubMed literature search (1980–2008) used the keywords ‘tooth’ AND ‘wear’; ‘dental’ AND ‘attrition’ AND ‘prevalence’; ‘dental’ AND ‘wear’ AND ‘prevalence’; ‘erosion AND prevalence’ AND ‘abrasion AND prevalence’. Following exclusion criteria, 29 papers were reviewed using established review methods. There was a total of 45,186 subjects (smallest study 80 and largest study 17,047 subjects) examined from thirteen multiple random clusters, eight multiple convenience clusters and eight convenience clusters. Nine different tooth wear indices were used, but the common denominator among studies was dentin exposure as an indicator of severe wear. Forest plots indicated substantial heterogeneity of the included studies. Prevalence of wear involving dentin ranged from 0 to 82% for deciduous teeth in children up to 7 years; regression analysis showed age and wear to be significantly related. Most of the studies in the permanent dentition showed low dentin exposure, a few reported high prevalence (range 0–54%); age and wear were not related (regression analysis). The results of this systematic review indicate that the prevalence of tooth wear leading to dentin exposure in deciduous teeth increases with age. Increase in wear of permanent teeth with age in adolescents up to 18 years old was not substantiated.
Available from: Najla Saeed Dar-Odeh
- "Also, the data on the prevalence are inconsistent  . Oginni and Olusile reported that 64.28% of the patients attending a dental hospital had attrition, 15.87% had abrasion, 7.14% had erosion, and 12.69% had attrition and abrasion combined . "
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ABSTRACT: Our aim was to predict tooth surface loss in individuals without the need to conduct clinical examinations. Artificial neural networks (ANNs) were used to construct a mathematical model. Input data consisted of age, smoker status, type of tooth brush, brushing, and consumption of pickled food, fizzy drinks, orange, apple, lemon, and dried seeds. Output data were the sum of tooth surface loss scores for selected teeth. The optimized constructed ANN consisted of 2-layer network with 15 neurons in the first layer and one neuron in the second layer. The data of 46 subjects were used to build the model, while the data of 15 subjects were used to test the model. Accepting an error of ±5 scores for all chosen teeth, the accuracy of the network becomes more than 80%. In conclusion, this study shows that modeling tooth surface loss using ANNs is possible and can be achieved with a high degree of accuracy.
Computational and Mathematical Methods in Medicine 07/2014; 2014. DOI:10.1155/2014/106236 · 0.77 Impact Factor
Available from: Siegward Heintze
- "Clinical wear studies are essential, first for better assessment of the wear behavior of new dental materials and, second, to monitor the wear of natural teeth. Tooth wear with different etiology has been recognized as a major problem with increasing prevalence  . "
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The purpose of this study was to compare the use of different variables to measure the clinical wear of two denture tooth materials in two analysis centers.
Twelve edentulous patients were provided with full dentures. Two different denture tooth materials (experimental material and control) were placed randomly in accordance with the split-mouth design. For wear measurements, impressions were made after an adjustment phase of 1–2 weeks and after 6, 12, 18, and 24 months. The occlusal wear of the posterior denture teeth of 11 subjects was assessed in two study centers by use of plaster replicas and 3D laser-scanning methods. In both centers sequential scans of the occlusal surfaces were digitized and superimposed. Wear was described by use of four different variables. Statistical analysis was performed after log-transformation of the wear data by use of the Pearson and Lin correlation and by use of a mixed linear model.
Mean occlusal vertical wear of the denture teeth after 24 months was between 120 μm and 212 μm, depending on wear variable and material. For three of the four variables, wear of the experimental material was statistically significantly less than that of the control. Comparison of the two study centers, however, revealed correlation of the wear variables was only moderate whereas strong correlation was observed among the different wear variables evaluated by each center.
Moderate correlation was observed for clinical wear measurements by optical 3D laser scanning in two different study centers. For the two denture tooth materials, wear measurements limited to the attrition zones led to the same qualitative assessment.
Dental materials: official publication of the Academy of Dental Materials 05/2014; 30(5). DOI:10.1016/j.dental.2014.02.001 · 3.77 Impact Factor
Available from: Rainer Seemann
- "In addition , the increasing number of elderly people in industrialized countries leads to special oral health problems. Among others, these problems include those affecting restorative dentistry such as root caries or dental erosion, of which the prevalence in general seems to increase  . Moreover, other factors such as the level of industrialization, educational status, price levels, and presence of social insurance and reimbursement systems highly influence primary dental healthcare. "
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The aim of this study was to forecast trends in restorative dentistry over the next 20 years and to identify treatment goals and corresponding properties of restorative materials.
Using the Delphi method, a panel of 3 experts identified 8 key questions, which were sent to experts in restorative and preventive dentistry. In round 1 of this survey, 15 international experts devised a clearer semantic definition of the key questions and the completion of respective items for two additional rounds. In round 2, 125 experts from 35 countries rated the items developed in round 1 using a Likert scale. In round 3, the same 125 experts received the ratings of round 2 and were asked to agree or disagree to these ratings by re-voting on all key questions and items. A total of 105 experts re-voted and finally took part in the complete survey. Among the 8 key questions, two questions were selected for the present report: (Q1) “What will be the future role of restorative treatment?” and (Q6) “What will be the key qualities for clinical success of restorations?” For both questions and the respective items, the experts were asked to evaluate the importance and the feasibility for later calculation of the scientific value (i.e. the opportunity, where opportunity = importance + [importance − feasibility]).
The three items of highest importance for Q1 were “preservation of existing enamel and dentin tissue,” “prevention of secondary caries,” and “maintenance of the pulp vitality,” and for Q6 they were “optimization of adhesion,” “biocompatibility,” and “minimizing technical sensitivity.”
Bioactivity toward the pulp-dentin complex and prevention of secondary caries were the items generally rated as having the highest opportunity.
Dental materials: official publication of the Academy of Dental Materials 04/2014; 30(4). DOI:10.1016/j.dental.2014.01.013 · 3.77 Impact Factor
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