Black teeth: beauty or caries prevention? Practice and beliefs of the Kammu people.

BACKGROUND: To be beautiful and caries-free, Kammu women in Laos and Vietnam habitually paint their teeth black. Although this practice existed for many generations, it is now known only among the elderly. OBJECTIVES: To describe how the tooth-blackening procedure is performed and to test the black stain for possible antimicrobial effects in laboratory experiments. METHODS: Information on how to blacken teeth was obtained by interviewing groups of elderly Kammu people living in different villages in Laos and Vietnam. Water extracts of the stain were placed in wells in agar plates and the plates incubated with Streptococcus mutans or S. sobrinus. The stain was also let such that it covered half of the strip test-side of the Dentocult SM Strip Mutans test kit and incubated with saliva from five persons known to carry mutans streptococci in their saliva. RESULTS: Interviews revealed that three plants were commonly used: Dracontomelon dao nuts (DD nuts), Cratoxylum formosum (CF) wood or Croton cascarilloides (CC) wood. The parts (nut, wood) were burned and soot collected on metal plates. The fresh soot, which had a viscous consistency, was applied to teeth with the index finger. Extracts of soot of the DD nuts had no effect on the streptococci on agar plates but inhibited the growth of salivary mutans streptococci on strips. Controls using soot from birch tree (Betula pendula) had no effect. CONCLUSIONS: The procedure was simple and resulted in black, beautiful (?) teeth. The soot of DD nuts effectively inhibited growth of salivary mutans streptococci in in vitro experiments.

Oral health information systems--towards measuring progress in oral health promotion and disease prevention.

This article describes the essential components of oral health information systems for the analysis of trends in oral disease and the evaluation of oral health programmes at the country, regional and global levels. Standard methodology for the collection of epidemiological data on oral health has been designed by WHO and used by countries worldwide for the surveillance of oral disease and health. Global, regional and national oral health databanks have highlighted the changing patterns of oral disease which primarily reflect changing risk profiles and the implementation of oral health programmes oriented towards disease prevention and health promotion. The WHO Oral Health Country/Area Profile Programme (CAPP) provides data on oral health from countries, as well as programme experiences and ideas targeted to oral health professionals, policy-makers, health planners, researchers and the general public. WHO has developed global and regional oral health databanks for surveillance, and international projects have designed oral health indicators for use in oral health information systems for assessing the quality of oral health care and surveillance systems. Modern oral health information systems are being developed within the framework of the WHO STEPwise approach to surveillance of noncommunicable, chronic disease, and data stored in the WHO Global InfoBase may allow advanced health systems research. Sound knowledge about progress made in prevention of oral and chronic disease and in health promotion may assist countries to implement effective public health programmes to the benefit of the poor and disadvantaged population groups worldwide.

Cariogram--a multifactorial risk assessment model for a multifactorial disease.

This paper reviews some common methods for the assessment of caries risk. It also describes a new way of illustrating the caries risk profile of an individual, the Cariogram. Past caries experience and socioeconomic factors are often used for prediction of caries. As prediction models, the methods are simple, inexpensive and fast. However, they are not risk models, as they do not specify which particular risk factors are operating. Various biological factors can be used for risk assessment. Common ones are bacteria, diet and host factors. Taken separately, these biological factors often have limited predictive values. Socioeconomic factors often have a heavy impact on the biological factors as they can explain why an individual, for example, has a cariogenic diet or neglects oral hygiene. The biological factors are the immediate cause of the cavities. Caries experience is an illustration of how the host copes up with the biological activity. To facilitate the interpretation of biological data, the Cariogram was developed. It is a computer program showing a graphical picture that illustrates a possible overall caries risk scenario. The program contains an algorithm that presents a 'weighted' analysis of the input data, mainly biological factors. It expresses as to what extent different etiological factors of caries affect caries risk. The Cariogram identifies the caries risk factors for the individual and provides examples of preventive and treatment strategies to the clinician.

Comparing caries risk factors and risk profiles between children and elderly.

The aim of this study was to compare the caries risk profiles of children and elderly, the actual annual caries increment and the impact of some selected caries related factors. The risk profiles were created by a computerised risk assessment program, the Cariogram, which evaluates data and presents the weighted and summarized result as one figure, illustrating the 'percent chance of avoiding caries' in the future. The data used originated from two separate longitudinal studies illustrating the Cariogram's capacity to assess caries risk. One study comprised about 400 children; the other included about 150 elderly. At baseline, information on past caries experience, diet, oral hygiene and use of fluoride was obtained. Saliva analyses included mutans streptococci and lactobacilli, buffering capacity and secretion rate. The caries risk was assessed and after two and five years, respectively, caries was re-evaluated and the incidence was compared with the predictions. Fifty percent of the children, but only two percent of the elderly appeared in the lowest caries risk group. Of the elderly, 26% belonged to the highest caries risk group versus 3 % of the children. The mean DFS increment per year for the total group of children was 0.4 +/- 0.8 (SD) and 1.2 +/- 1.9 for the elderly. Individual factors contributing significantly to the higher risk profiles for the adults were higher plaque scores, higher counts of mutans streptococci and lower buffering capacity. Over all, the risk for caries, as assessed by the Cariogram, was twice as high for the elderly.

Evaluation of a computer-based caries risk assessment program in an elderly group of individuals.

The aim of this study was to evaluate a caries risk assessment computer program, the Cariogram, by comparing the risk assessment of the program with the actual caries increment in a group of elderly individuals over a period of 5 years. The participants were examined and interviewed at baseline about their general health and dietary habits. Data on oral hygiene and use of fluoride were obtained and saliva analyses included mutans streptococci, lactobacilli, buffering capacity, and secretion rate. Based on the baseline recordings, the individuals were divided into 4 risk groups according to the Cariogram. Where the program predicted 0% 20% (high risk), 21%-40%, 41%-60%, and 61%- 100% (low/rather low risk) "chance of avoiding caries", 13, 32, 23, and 48% respectively, had no new DFS over 5 years and 18, 40, 72, and 84%, respectively, had no new lesions at the 5th year. The mean DMFS increment over 5 years was 12.8 in the high/rather high risk group (0% 40% "chance of avoiding caries"), which included 43% of the individuals. In the low/rather low risk group (61%-100% "chance of avoiding caries"), the corresponding value was 5.2%, and 21% of the participants were sorted to this group. The mean DMFS increment for the whole group of elderly individuals was 9.5. In this particular study the Cariogram was able to sort the elderly individuals into risk groups that reflected the actual caries outcome.

Caries experience of some countries and areas expressed by the Significant Caries Index.

OBJECTIVES: To calculate and present the caries prevalence for some countries/states among 12-year-olds, expressed as Significant Caries Index (SiC Index) and to analyse the relationship between the mean DMFT and the SiC Index for these countries. SiC Index is the mean DMFT of the one-third of a population with the highest caries values. METHODS: An Excel(R) application for calculating SiC was developed (http://www.whocollab.od.mah.se/expl/siccalculation.xls) and indices were calculated from the data collected for 14 countries and one state from the Country/Area Profile Programme (http://www.whocollab.od.mah.se/index.html). To investigate the provinces of a country that had already reached the proposed SiC Index goal of 3 DMFT among the 12-year-olds, data for 17 counties and a city from Sweden were collected and the respective mean DMFT and SiC Indices calculated. RESULTS: The mean DMFT varied from 1.0 to 8.5 and the SiC Index varied from 2.8 to 13.7 in the national data. Jamaica, Senegal and Sweden were the only three countries that showed SiC Indices that were less than 3 DMFT. The mean DMFT varied from 0.5 to 1.4 and the SiC Index varied from 1.4 to 3.6 in the Swedish county/city data examined. A strong linear relationship between the mean DMFT and the SiC Index was found for the populations presented in this study. CONCLUSION: The SiC Index is an indicator that reflects the situation among the most caries-exposed individuals and could be included in future population-based oral health surveys together with the mean DMFT.