A Psychometric Network Analysis of OHIP-14 across Australian and Brazilian Populations.

OBJECTIVES: The aim of this study was to assess the structural validity of the Oral Health Impact Profile-14 (OHIP-14) instrument in Indigenous and non-Indigenous populations from Australia and Brazil using a network analysis approach. METHODS: Cross-sectional data collected using OHIP-14 were obtained for Indigenous and non-Indigenous populations from Australia and Brazil. Networks were estimated using the Gaussian graphical model. Items of the OHIP-14 instrument are represented as nodes and the partial correlations between items as edges. Dimensionality was assessed using exploratory graph analysis. Structural consistency and item stability were computed using a bootstrap sampling method. Standardized node strength across each dimension was also calculated. RESULTS: Four dimensions were identified across all samples, although the item arrangement of most dimensions presented variation. Similarities with the theoretical domains of the instrument were found. Items from the conceptually derived OHIP-14 domains formed separated clusters or blended with other items in a single dimension. Most dimensions across all samples showed an acceptable structural consistency. Item stability revealed some discrepancies among items of dimensions of both Indigenous networks. CONCLUSION: The psychometric network perspective adopted in this study provides validation of the OHIP-14 structure in Indigenous and non-Indigenous populations. The structural consistency and item stability analyses showed that both Indigenous networks present a higher number of cross-domain items and less defined boundaries between dimensions. These findings indicate that OHIP-14 does not measure attributes in the same extent among different cultures. KNOWLEDGE TRANSFER STATEMENT: This study demonstrates a new analytical framework from which to conceptualize and interpret the construct oral health-related quality of life using the Oral Health Impact Profile (OHIP-14). Network graphs facilitate knowledge translation of findings to professionals with no expertise in psychometric methods. OHIP-14 is a valuable tool to oral health research and clinical practice. Differences in conceptions of health may influence the extent that the instrument measures oral health impacts. Consequently, dimension scores do not always provide appropriate measures and should be avoided in research reports and assessments of treatment outcomes.

The impact of MUC5B gene on dental caries.

OBJECTIVE: To identify the impact of MUC5B polymorphisms on dental caries. METHODS: A case-control study was performed with patients recruited at Pontifícia Universidade Católica do Paraná. These individuals were aged 12 years old or more. Dental caries was diagnosed using the International Caries Detection and Assessment System, and the effects of socioeconomic, dietary, and hygiene factors on dental caries were investigated. Furthermore, buccal cells were collected, and their DNA was extracted and amplified using PCR. Uni-, bi-, and multivariate analyses were performed. RESULTS: Two hundred patients were recruited, 100 were assigned to the case group and 100 to the control group. In the bivariate analysis, the following variables showed significant results: ethnicity (p = .008), biofilm (p < .001), and gingivitis (p < .001). The MUC5B gene affected dental caries with the markers rs2735733 (p < .001), rs2249073 (p < .001), and rs2857476 (p < .001). In the multivariate analysis, the biofilm variable remained significant (p = .026), as did the following markers from the MUC5B gene: rs2735733 (p = .019), rs2249073 (p < .025), and rs2857476 (p < .005). CONCLUSION: Genetic variations in the MUC5B gene can influence dental caries.

A major gene effect controls resistance to caries.

Despite recent advances revealing genetic factors influencing caries susceptibility, questions regarding the model of inheritance involved are yet to be addressed. We conducted a Complex Segregation Analysis on decayed teeth in a sample of homogenous, isolated families recruited from the Brazilian Amazon. A dominant, major gene effect controlling resistance to phenotype was detected. The frequency of the resistance allele "A" was 0.63; mean numbers of decayed teeth were 1.53 and 9.53 for genotypes AA/AB and BB, respectively. These results represent a step toward a description of the exact nature of the genetic risk factors controlling human susceptibility to caries.

A critical review: an overview of genetic influence on dental caries.

Dental decay is a complex, chronic disease and one of the most common illnesses in dentistry today. Several dental decay risk factors have been identified during the last years; however, these variables alone may not entirely explain the disease development. Genetic research applied to dental decay began in the 1930s with experimental reports in animals and human observational research. Only recently, have some studies begun to search for genetic polymorphisms in humans and apply linkage analysis. However, due to the complex characteristics of the disease, the strong influence from several biological and environmental factors, and the small number of genetic studies related to dental caries, the genetic basis still requires further study. Therefore, the aim of this review is to provide a brief description of the current methodology for genetic analysis of complex traits, followed by a comprehensive evaluation of the literature related to genetic susceptibility/resistance to dental decay and a discussion of different aspects of the applied methodology. Advances towards the elucidation of the dental decay genetic basis may contribute to the understanding of the disease etiopathogenesis and to the identification of high risk groups, thus providing potential targets for effective screening, prevention and treatment.