Some young adults can maintain good oral health despite socioeconomic challenges.

The association between dental caries experience and socioeconomic status, as reflected in income and educational level, is well known. However, some individuals maintain good health despite socioeconomic disadvantage. The aim of this qualitative study was to explore salutogenic (health-promoting) factors among healthy caries-free young adults of low socioeconomic status. Seventeen participants (11 women), 19-23 years of age, who were caries-free and of low socioeconomic status were interviewed in-depth. The interviews were transcribed verbatim and analysed using qualitative content analysis with an inductive approach. The theme revealed was 'Building trust and shifting responsibility from parent to child throughout children's development lays the salutogenic foundation for oral health', comprising three categories: (i) a basis for health; (ii) creating one's own path by testing wings; and (iii) developing resources for health. A feeling of trust was expressed, participants were confident in the unconditional support of their caregivers, and caregivers were trusting participants to be able to take control over their own oral health. Health-promotive factors were established not only by instilling healthy habits during childhood, but also by parental guidance through adolescence, enabling young adults to develop resources and assets to take control over their own health independently.

Common resilience factors among healthy individuals exposed to chronic adversity: a systematic review.

OBJECTIVE: To identify common resilience factors against non-communicable diseases (dental caries, diabetes type II, obesity and cardiovascular disease) among healthy individuals exposed to chronic adversity. MATERIALS AND METHODS: The databases MEDLINE (via PubMed), Scopus and CINAHL were searched. Observational studies in English assessing resilience factors among populations living in chronic adversity were included. Intervention studies, systematic reviews, non-original articles and qualitative studies were excluded. There were no restrictions regarding publication year or age. No meta-analysis could be done. Quality assessments were made with the Newcastle-Ottawa scale (NOS). RESULTS: A final total of 41 studies were included in this systematic review. The investigated health resilience factors were divided into the following domains: environmental (community and family) and individual (behavioural and psychosocial). A narrative synthesis of the results was made according to the domains. CONCLUSIONS: Individual psychosocial, family and environmental factors play a role as health resilience factors in populations living in chronic adversity. However, the inconclusive results suggest that these factors do not act in isolation but interplay in a complex manner and that their interaction may vary during the life course, in different contexts, and over time.

Comparison of risk assessment based on clinical judgement and Cariogram in addition to patient perceived treatment need.

BACKGROUND: Predicting future risk for oral diseases, treatment need and prognosis are tasks performed daily in clinical practice. A large variety of methods have been reported, ranging from clinical judgement or "gut feeling" or even patient interviewing, to complex assessments of combinations of known risk factors. In clinical practice, there is an ongoing continuous search for less complicated and more valid tools for risk assessment. There is also a lack of knowledge how different common methods relates to one another. The aim of this study was to investigate if caries risk assessment (CRA) based on clinical judgement and the Cariogram model give similar results. In addition, to assess which factors from clinical status and history agree best with the CRA based on clinical judgement and how the patient's own perception of future oral treatment need correspond with the sum of examiners risk score. METHODS: Clinical examinations were performed on randomly selected individuals 20-89 years old living in Skåne, Sweden. In total, 451 individuals were examined, 51 % women. The clinical examination included caries detection, saliva samples and radiographic examination together with history and a questionnaire. The examiners made a risk classification and the authors made a second risk calculation according to the Cariogram. RESULTS: For those assessed as low risk using the Cariogram 69 % also were assessed as low risk based on clinical judgement. For the other risk groups the agreement was lower. Clinical variables that significantly related to CRA based on clinical judgement were DS (decayed surfaces) and combining DS and incipient lesions, DMFT (decayed, missed, filled teeth), plaque amount, history and soft drink intake. Patients' perception of future oral treatment need correlated to some extent with the sum of examiners risk score. CONCLUSIONS: The main finding was that CRA based on clinical judgement and the Cariogram model gave similar results for the groups that were predicted at low level of future disease, but not so well for the other groups. CRA based on clinical judgement agreed best with the number of DS plus incipient lesions.

[Dental caries - the most common noncommunicable disease and its impact on general health and disease]. / Karies ­ världens vanligaste icke smittsamma sjukdom.

More than 2.8 billion individuals worldwide suffer from untreated caries. Over ninety-five percent of all 50-year-olds in Sweden have caries experience. Caries is the most common cause of dental restorations and tooth loss. Tooth loss is associated with cardiovascular diseases, dementia, and death. Periapical tooth infections caused by caries can spread and cause severe infection, however rarely with lethal outcome. Sugars are a common risk factor for caries and other noncommunicable diseases such as cardiovascular diseases, diabetes, and obesity.  Caries is a consequence of sugar-provoked acid production and dysbiosis in the tooth biofilm (dental plaque). There are several conditions which may increase the risk for dental caries, such as different medical conditions and medications which may cause dry mouth. Treatment costs for caries are high.

Caries risk assessment in young adults: A 3-year validation of clinical guidelines used in Public Dental Service.

OBJECTIVES: To validate a risk classification model according to the Public Dental Service (PDS) guidelines with the actual 3-year caries outcome in terms of predictive values. MATERIALS AND METHODS: All 19-year-old patients registered at eight public dental clinics in Skåne, Sweden were invited to participate (n = 1699). The study group who completed the baseline examination consisted of 1295 subjects, representing 10% of the age group attending the public dental care in the region. A risk classification of each patient in four categories was made by the patient's regular team according to the guidelines. At the follow-up 3 years later, 75.8% were accessible. The final examinations included bitewing radiographs and the actual caries increment for 982 patients was calculated. RESULTS: At baseline, 11.9% were assessed as being at 'high' or 'very high' risk. The dropouts had significantly more caries than the remaining patients (p < 0.05). The general disease activity was low, but those grouped into the two highest risk groups displayed significantly more new caries than those at lower risk (p < 0.05). With a cut-off value ΔDFS > 0 vs DFS = 0, the sensitivity was 81% and the specificity 56% for 'low' risk vs any risk. By combining the 'low' and 'some' risk categories, the PDS model generated an improved specificity (94%). CONCLUSIONS: The risk assessment scheme used by the Public Dental Service for young adults relied basically on past and current caries activity and 65-70% of the patients were correctly classified. The model was most effective to screen out patients with low caries risk.

Multivariable prediction models of caries increment: a systematic review and critical appraisal.

BACKGROUND: Multivariable prediction models are used in oral health care to identify individuals with an increased likelihood of caries increment. The outcomes of the models should help to manage individualized interventions and to determine the periodicity of service. The objective was to review and critically appraise studies of multivariable prediction models of caries increment. METHODS: Longitudinal studies that developed or validated prediction models of caries and expressed caries increment as a function of at least three predictors were included. PubMed, Cochrane Library, and Web of Science supplemented with reference lists of included studies were searched. Two reviewers independently extracted data using CHARMS (Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) and assessed risk of bias and concern regarding applicability using PROBAST (Prediction model Risk Of Bias ASessment Tool). Predictors were analysed and model performance was recalculated as estimated positive (LR +) and negative likelihood ratios (LR -) based on sensitivity and specificity presented in the studies included. RESULTS: Among the 765 reports identified, 21 studies providing 66 prediction models fulfilled the inclusion criteria. Over 150 candidate predictors were considered, and 31 predictors remained in studies of final developmental models: caries experience, mutans streptococci in saliva, fluoride supplements, and visible dental plaque being the most common predictors. Predictive performances varied, providing LR + and LR - ranges of 0.78-10.3 and 0.0-1.1, respectively. Only four models of coronal caries and one root caries model scored LR + values of at least 5. All studies were assessed as having high risk of bias, generally due to insufficient number of outcomes in relation to candidate predictors and considerable uncertainty regarding predictor thresholds and measurements. Concern regarding applicability was low overall. CONCLUSIONS: The review calls attention to several methodological deficiencies and the significant heterogeneity observed across the studies ruled out meta-analyses. Flawed or distorted study estimates lead to uncertainty about the prediction, which limits the models' usefulness in clinical decision-making. The modest performance of most models implies that alternative predictors should be considered, such as bacteria with acid tolerant properties. TRIAL REGISTRATION: PROSPERO CRD#152,467 April 28, 2020.

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.

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.