Developing entrustable professional activities for general dentistry at the University of North Carolina.

INTRODUCTION: As part of curriculum innovation, the University of North Carolina (UNC) Adams School of Dentistry identified core entrustable professional activities (EPAs) that graduates must demonstrate for practice readiness. This paper describes the development of the UNC EPAs and the perceptions of the general dentistry faculty. METHODS: Upon establishing a blueprint of knowledge, skills, and attitudes of UNC graduates, using a distributed leadership approach, faculty teams developed EPAs focused on the patient care process. The American Dental Education Association Compendium of Clinical Competency Assessments and Commission on Dental Accreditation Standards informed the team's work. Perceptions of the assessment framework were examined using a questionnaire completed by 13 general dentistry faculty considering the importance, accuracy, and agreement of each EPA, associated domains of competence, and encounter management on a 6-point rating scale. RESULTS: Distributed leadership was a useful strategy in EPA development to disperse decision-making and build ownership. Through multiple iterations, four EPAs (assessment, plan of care, collaborative care, and provision of care) with associated sub-EPAs emerged. EPAs included a description, required knowledge and skills, and rubrics for assessment. The general dentistry faculty reported a high level of importance, accuracy, and agreement with EPAs, domains of competence, and encounter management. DISCUSSION: EPAs provide a standardized manner to describe the comprehensive work dentists perform, shifting away from individual competencies. The UNC EPAs provide the foundation for longitudinal measures of competence preparing graduates for independent practice. With limited EPAs frameworks available in dentistry, we aim to inform the development and implementation of EPAs across dental education.

Selenomonas sputigena acts as a pathobiont mediating spatial structure and biofilm virulence in early childhood caries.

Streptococcus mutans has been implicated as the primary pathogen in childhood caries (tooth decay). While the role of polymicrobial communities is appreciated, it remains unclear whether other microorganisms are active contributors or interact with pathogens. Here, we integrate multi-omics of supragingival biofilm (dental plaque) from 416 preschool-age children (208 males and 208 females) in a discovery-validation pipeline to identify disease-relevant inter-species interactions. Sixteen taxa associate with childhood caries in metagenomics-metatranscriptomics analyses. Using multiscale/computational imaging and virulence assays, we examine biofilm formation dynamics, spatial arrangement, and metabolic activity of Selenomonas sputigena, Prevotella salivae and Leptotrichia wadei, either individually or with S. mutans. We show that S. sputigena, a flagellated anaerobe with previously unknown role in supragingival biofilm, becomes trapped in streptococcal exoglucans, loses motility but actively proliferates to build a honeycomb-like multicellular-superstructure encapsulating S. mutans, enhancing acidogenesis. Rodent model experiments reveal an unrecognized ability of S. sputigena to colonize supragingival tooth surfaces. While incapable of causing caries on its own, when co-infected with S. mutans, S. sputigena causes extensive tooth enamel lesions and exacerbates disease severity in vivo. In summary, we discover a pathobiont cooperating with a known pathogen to build a unique spatial structure and heighten biofilm virulence in a prevalent human disease.

Subtypes of early childhood caries predict future caries experience.

OBJECTIVES: To test whether postulated subtypes of early childhood caries (ECC) are predictive of subsequent caries experience in a population-based cohort of Swedish children. METHODS: The study included children aged between 3 and 5 years at study entry with dental records available for at least 5 years of follow-up. Dental record data were retrieved from the Swedish Quality Registry for Caries and Periodontal disease (SKaPa) for the initial and follow-up visits. Participants who had ECC at study entry were assigned to one of five ECC subtypes (termed classes 1-5) using latent class modelling of tooth surface-level caries experience. Subsequent experience of caries was assessed using the decayed, missing and filled surfaces indices (dmfs/DMFS) at follow-up visits, and compared between ECC subtypes using logistic and negative binomial regression modelling. RESULTS: The study included 128 355 children who had 3 or more dental visits spanning at least 5 years post-baseline. Of these children, 31 919 had caries at the initial visit. Baseline ECC subtype was associated with differences in subsequent disease experience. As an example, 83% of children who had a severe form of ECC at age 5 went on to have caries in the permanent dentition by the end of the study, compared to 51% of children who were caries-free at age 5 (adjusted odds ratio of 4.9 for new disease at their third follow-up). CONCLUSIONS: ECC subtypes assigned at a baseline visit are associated with differences in subsequent caries experience in both primary and permanent teeth. This suggests that the development and future validation of an ECC classification can be used in addition to current prediction tools to help identify children at high risk of developing new caries lesions throughout childhood and adolescence.

PARTITIONING AROUND MEDOIDS CLUSTERING AND RANDOM FOREST CLASSIFICATION FOR GIS-INFORMED IMPUTATION OF FLUORIDE CONCENTRATION DATA.

Community water fluoridation is an important component of oral health promotion, as fluoride exposure is a well-documented dental caries-preventive agent. Direct measurements of domestic water fluoride content provide valuable information regarding individuals' fluoride exposure and thus caries risk; however, they are logistically challenging to carry out at a large scale in oral health research. This article describes the development and evaluation of a novel method for the imputation of missing domestic water fluoride concentration data informed by spatial autocorrelation. The context is a state-wide epidemiologic study of pediatric oral health in North Carolina, where domestic water fluoride concentration information was missing for approximately 75% of study participants with clinical data on dental caries. A new machine-learning-based imputation method that combines partitioning around medoids clustering and random forest classification (PAMRF) is developed and implemented. Imputed values are filtered according to allowable error rates or target sample size, depending on the requirements of each application. In leave-one-out cross-validation and simulation studies, PAMRF outperforms four existing imputation approaches-two conventional spatial interpolation methods (i.e., inverse-distance weighting, IDW and universal kriging, UK) and two supervised learning methods (k-nearest neighbors, KNN and classification and regression trees, CART). The inclusion of multiply imputed values in the estimation of the association between fluoride concentration and dental caries prevalence resulted in essentially no change in PAMRF estimates but substantial gains in precision due to larger effective sample size. PAMRF is a powerful new method for the imputation of missing fluoride values where geographical information exists.

Guardians' Self-Reported Fair/Poor Oral Health Is Associated with Their Young Children's Fair/Poor Oral Health and Clinically Determined Dental Caries Experience.

In this cross-sectional, community-based study among a multi-ethnic sample of preschool-age children in North Carolina, United States, we sought to quantify the association between guardians' self-reported oral health and their children's oral health and determine whether race/ethnicity and education level modify these associations. We used questionnaire (n = 7852) responses about caregivers' and their children's oral health and clinical examination-derived (n = 6243) early childhood caries (ECC) status defined at the ICDAS ≥ 3 caries lesion detection threshold. We used multi-level mixed-effects generalized linear models to examine the associations between the guardians' reported oral health and their children's reported and clinically determined oral health among the entire sample and within strata of race/ethnicity, guardians' education, and children's dental home. The guardians' and their children's reported fair/poor oral health (FPOH) were 32% and 15%, respectively, whereas 54% of the children had ECC and 36% had unrestored disease. The guardians' FPOH was strongly associated with their children's FPOH (average marginal effect (AME) = +19 percentage points (p.p.); 95% CI = 17-21), and this association was most pronounced among Hispanics, lower-educated guardians, and children without a dental home. Similar patterns, but smaller-in-magnitude associations, were found for the guardians' FPOH and their children's clinically determined ECC (AME = +9 p.p.; 95% CI = 6-12) and unrestored disease (AME = +7 p.p.; 95% CI = 4-9). The study's findings support a strong association between guardians' and their children's reported and clinically determined oral health and implicate ethnicity, education, and having a dental home as factors possibly modifying the magnitude of these associations.

Children's oral health-related behaviours and early childhood caries: A latent class analysis.

OBJECTIVE: In this cross-sectional study in a large community-based sample of preschool-age children, we sought to identify distinct clusters of modifiable early childhood oral health-related behaviours (OHBs) and quantify their association with clinical and parent-reported measures of early childhood oral health. METHODS: We relied upon a questionnaire (n = 8033; 11% in Spanish) and clinical oral health data (n = 6404; early childhood caries [ECC] prevalence = 54%] collected in the context of an epidemiologic study of early childhood oral health among 3- to 5-year-old children in North Carolina. Latent class analysis was used to identify clusters of modifiable OHBs based on parents' responses to 6 questionnaire items pertaining to their children's oral hygiene, diet and dental home. The optimal number of clusters was determined based on measures of model fit and interpretability. We examined associations of OHB clusters with clinical and parent-reported child oral health status (ie, ECC prevalence, severity and proportion with untreated disease) using bivariate association tests and multivariable regression modelling with marginal effects estimation accounting for clustered data. We used Mplus v.8.6 (Muthén & Muthén, Los Angeles, CA, USA) and Stata v.16.1 (StataCorp, College Station, TX, USA) for data analyses. RESULTS: We identified 2 OHB clusters, a favourable (74%) and an unfavourable (26%) one. Children in the favourable OHB cluster had better oral hygiene practices (ie, tooth brushing frequency and fluoridated toothpaste use), lower consumption frequency of sugar-containing snacks and beverages, less frequent reports of night-time bottle-feeding history and a higher likelihood of a dental home. Children in the unfavourable cluster had significantly higher ECC prevalence (57% vs 53%), caries burden (mean dmfs = 9.3 vs 7.6), untreated disease (43% vs 33%) and worse parent-reported oral health status than the favourable cluster. CONCLUSIONS: Our findings demonstrate the importance and utility of clustering common, modifiable ECC risk factors in population studies - health promotion efforts may centre on groups of people rather than individual behavioural risk factors.

Frequency of Four-dimensional Oral Health Problems across Dental Fields - a Comparative Survey of Slovenian and International Dentists.

OBJECTIVES: To compare the frequency of patients' oral health problems and prevention needs among Slovenian and international dentists with the aim to validate the four oral health-related quality of life (OHRQoL) dimensions across six clinical dental fields in all World Health Organization (WHO) regions. METHODS: An anonymous electronic survey in the English language was designed using Qualtrics software. A probability sampling for Slovenia and a convenience sampling strategy for dentist recruitment was applied for 31 countries. Dentists engaged in six dental fields were asked to categorize their patients' oral health problems and prevention needs into the four OHRQoL dimensions (Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact). Proportions of patients' problems and prevention needs were calculated together with the significance of Slovenian and international dentists' differences based on dental fields and WHO regions. RESULTS: Dentists (n=1,580) from 32 countries completed the survey. There were 223 Slovenian dentists (females: 68%) with a mean age (SD) of 41 (10.6) years and 1,358 international dentists (females: 51%) with a mean age (SD) of 38 (10.4). Pain-related problems and prevention needs were the most prevalent among all six dental fields reported by dentists; Slovenian (37%) and 31 countries (45%). According to Cohen, differences between Slovenia, the broader European Region, and 31 countries were considered non-significant (<0.1). CONCLUSION: According to the dentists' responses, the frequency of patients' oral health problems and prevention needs are proportionate between Slovenia and 31 countries, regionally and globally. The four OHRQoL dimensions can be considered universal across all dental fields.

A Web-Based Rendering Application for Communicating Dental Conditions.

The importance of visual aids in communicating clinical examination findings or proposed treatments in dentistry cannot be overstated. Similarly, communicating dental research results with tooth surface-level precision is impractical without visual representations. Here, we present the development, deployment, and two real-life applications of a web-based data visualization informatics pipeline that converts tooth surface-level information to colorized, three-dimensional renderings. The core of the informatics pipeline focuses on texture (UV) mapping of a pre-existing model of the human primary dentition. The 88 individually segmented tooth surfaces receive independent inputs that are represented in colors and textures according to customizable user specifications. The web implementation SculptorHD, deployed on the Google Cloud Platform, can accommodate manually entered or spreadsheet-formatted tooth surface data and allows the customization of color palettes and thresholds, as well as surface textures (e.g., condition-free, caries lesions, stainless steel, or ceramic crowns). Its current implementation enabled the visualization and interpretation of clinical early childhood caries (ECC) subtypes using latent class analysis-derived caries experience summary data. As a demonstration of its potential clinical utility, the tool was also used to simulate the restorative treatment presentation of a severe ECC case, including the use of stainless steel and ceramic crowns. We expect that this publicly available web-based tool can aid clinicians and investigators deliver precise, visual presentations of dental conditions and proposed treatments. The creation of rapidly adjustable lifelike dental models, integrated to existing electronic health records and responsive to new clinical findings or planned for future work, is likely to boost two-way communication between clinicians and their patients.

An Automated Machine Learning Classifier for Early Childhood Caries.

Purpose: The purpose of the study was to develop and evaluate an automated machine learning algorithm (AutoML) for children's classification according to early childhood caries (ECC) status. Methods: Clinical, demographic, behavioral, and parent-reported oral health status information for a sample of 6,404 three- to five-year-old children (mean age equals 54 months) participating in an epidemiologic study of early childhood oral health in North Carolina was used. ECC prevalence (decayed, missing, and filled primary teeth surfaces [dmfs] score greater than zero, using an International Caries Detection and Assessment System score greater than or equal to three caries lesion detection threshold) was 54 percent. Ten sets of ECC predictors were evaluated for ECC classification accuracy (i.e., area under the ROC curve [AUC], sensitivity [Se], and positive predictive value [PPV]) using an AutoML deployment on Google Cloud, followed by internal validation and external replication. Results: A parsimonious model including two terms (i.e., children's age and parent-reported child oral health status: excellent/very good/good/fair/poor) had the highest AUC (0.74), Se (0.67), and PPV (0.64) scores and similar performance using an external National Health and Nutrition Examination Survey (NHANES) dataset (AUC equals 0.80, Se equals 0.73, PPV equals 0.49). Contrarily, a comprehensive model with 12 variables covering demographics (e.g., race/ethnicity, parental education), oral health behaviors, fluoride exposure, and dental home had worse performance (AUC equals 0.66, Se equals 0.54, PPV equals 0.61). Conclusions: Parsimonious automated machine learning early childhood caries classifiers, including single-item self-reports, can be valuable for ECC screening. The classifier can accommodate biological information that can help improve its performance in the future.

Child Nutrition Patterns Are Associated with Primary Dentition Dental Caries.

Purpose: Diet is a well-established, modifiable factor influencing dental caries risk. However, evidence regarding its association with distinct clinical patterns of dental caries is lacking. The purpose of this study was to identify the association of child nutrition patterns with two distinct clinical presentations (subtypes) of childhood dental caries. Methods: The study sample comprised 120 children who were patients of a private pediatric dental practice: 30 ages one to three years (mean equals 2.2 years) with anterior carious lesions; 30 ages four to 12 years (mean equals six years) with posterior-only carious lesions; and 60 age-, gender-, and payment method-matched caries-free controls. Participants underwent dental examinations, and their guardians completed a 17-item nutrition frequency questionnaire. A latent profile analysis was used to define distinct dietary patterns and, subsequently, test their association with dental caries subtypes. Results: Dietary patterns were differentiated by consumption frequencies of water and cariogenic solid, soft, and liquid food items; a diet cluster characterized by frequent consumption of fruit juice, cereal bars, and daily vitamins was more common (P<0.05) among one- to three-year-old patients with anterior carious lesions compared to matched caries-free controls. Conclusions: These results affirm the key role of dietary patterns in childhood oral health and demonstrate the influence of fermentable carbohydrates on specific clinical subtypes of caries.

Pediatric patients' reasons for visiting dentists in all WHO regions.

BACKGROUND: Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact are the four oral health-related quality of life (OHRQoL) dimensions (4D) or areas in which oral disorders impact pediatric patients. Using their dentists' assessment, the study aimed to evaluate whether pediatric dental patients' oral health concerns fit into the 4D of the Oral Health-Related Quality of Life (OHRQoL) construct. METHODS: Dentists who treat children from 32 countries and all WHO regions were selected from a web-based survey of 1580 international dentists. Dentists were asked if their pediatric patients with current or future oral health concerns fit into the 4D of the Oral Health-Related Quality of Life (OHRQoL) construct. Proportions of all pediatric patients' oral health problems and prevention needs were computed. FINDINGS: Data from 101 dentists treating children only and 523 dentists treating children and adults were included. For 90% of pediatric patients, their current oral health problems fit well in the four OHRQoL dimensions. For 91% of oral health problems they intended to prevent in the future were related to these dimensions as well. Both numbers increased to at least 96% when experts analyzed dentists´ explanations of why some oral health problems would not fit these four categories. CONCLUSIONS: The study revealed the four fundamental components of dental patients, i.e., the four OHRQoL dimensions (Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact) are also applicable for pediatric patients, regardless of whether they have current or future oral health concerns, and should be considered when measuring OHRQoL in the pediatric dental patient population.

The methodological quality is insufficient in clinical practice guidelines in the context of COVID-19: systematic review.

OBJECTIVES: The number of published clinical practice guidelines related to COVID-19 has rapidly increased. This study explored if basic methodological standards of guideline development have been met in the published clinical practice guidelines related to COVID-19. STUDY DESIGN AND SETTING: Rapid systematic review from February 1 until April 27, 2020 using MEDLINE [PubMed], CINAHL [Ebsco], Trip and manual search, including all types of healthcare workers providing any kind of healthcare to any patient population in any setting. RESULTS: There were 1342 titles screened and 188 guidelines included. The highest average AGREE II domain score was 89% for scope and purpose, the lowest for rigor of development (25%). Only eight guidelines (4%) were based on a systematic literature search and a structured consensus process by representative experts (classified as the highest methodological quality). The majority (156; 83%) was solely built on an informal expert consensus. A process for regular updates was described in 27 guidelines (14%). Patients were included in the development of only one guideline. CONCLUSION: Despite clear scope, most publications fell short of basic methodological standards of guideline development. Clinicians should use guidelines that include up-to-date information, were informed by stakeholder involvement, and employed rigorous methodologies.

Guardian Reports of Children's Sub-optimal Oral Health Are Associated With Clinically Determined Early Childhood Caries, Unrestored Caries Lesions, and History of Toothaches.

Background: Parents'/guardians' perceptions of their children's oral health are useful proxies of their clinically determined caries status and are known to influence dental care-seeking behavior. In this study, we sought to examine (1) the social and behavioral correlates of fair/poor child oral health reported by guardians and (2) quantify the association of these reports with the prevalence of early childhood caries (ECC), unrestored caries lesions and toothaches. Methods: We used guardian-reported child oral health information (dichotomized as fair/poor vs. excellent/very good/good) obtained via a parent questionnaire that was completed for n = 7,965 participants (mean age = 52 months; range = 36-71 months) of a community-based, cross-sectional epidemiologic study of early childhood oral health in North Carolina between 2016 and 2019. Social, demographic, oral health-related behavioral data, and reports on children's history of toothaches (excluding teething) were collected in the same questionnaire. Unrestored ECC (i.e., caries lesions) was measured via clinical examinations in a subset of n = 6,328 children and was defined as the presence of one or more tooth surfaces with an ICDAS ≥ 3 caries lesion. Analyses relied on descriptive and bivariate methods, and multivariate modeling with average marginal effect (A.M.E.) estimation accounting for the clustered nature of the data. Estimates of association [prevalence ratios (PR) and adjusted marginal effects (AME) with 95% confidence intervals (CI)] were obtained via multilevel generalized linear models using Stata's svy function and accounting for the clustered nature of the data. Results: The prevalence of fair/poor oral health in this sample was 15%-it increased monotonically with children's age, was inversely associated with parents' educational attainment, and was higher among Hispanics (21%) and African Americans (15%) compared to non-Hispanic whites (11%). Brushing less than twice a day, not having a dental home, and frequently consuming sugar-containing snacks and beverages were significantly associated with worse reports (P < 0.0005). Children with fair/poor reported oral health were twice as likely to have unrestored caries lesions [prevalence ratio (PR) = 2.0; 95% confidence interval (CI) = 1.8-2.1] and 3.5 times as likely to have experienced toothaches [PR = 3.5; 95% CI = 3.1-3.9] compared to those with better reported oral health. Conclusions: Guardian reports of their children's oral health are valuable indicators of clinical and public health-important child oral health status. Those with fair/poor guardian-reported child oral health have distinguishing characteristics spanning socio-demographics, oral-health related practices, diet, and presence of a dental home.

Cohort Profile: ZOE 2.0-A Community-Based Genetic Epidemiologic Study of Early Childhood Oral Health.

Early childhood caries (ECC) is an aggressive form of dental caries occurring in the first five years of life. Despite its prevalence and consequences, little progress has been made in its prevention and even less is known about individuals' susceptibility or genomic risk factors. The genome-wide association study (GWAS) of ECC ("ZOE 2.0") is a community-based, multi-ethnic, cross-sectional, genetic epidemiologic study seeking to address this knowledge gap. This paper describes the study's design, the cohort's demographic profile, data domains, and key oral health outcomes. Between 2016 and 2019, the study enrolled 8059 3-5-year-old children attending public preschools in North Carolina, United States. Participants resided in 86 of the state's 100 counties and racial/ethnic minorities predominated-for example, 48% (n = 3872) were African American, 22% white, and 20% (n = 1611) were Hispanic/Latino. Seventy-nine percent (n = 6404) of participants underwent clinical dental examinations yielding ECC outcome measures-ECC (defined at the established caries lesion threshold) prevalence was 54% and the mean number of decayed, missing, filled surfaces due to caries was eight. Nearly all (98%) examined children provided sufficient DNA from saliva for genotyping. The cohort's community-based nature and rich data offer excellent opportunities for addressing important clinical, epidemiologic, and biological questions in early childhood.

Why Patients Visit Dentists - A Study in all World Health Organization Regions.

OBJECTIVE: The dimensions of oral health-related quality of life (OHRQoL) Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact are the major areas where patients are impacted by oral diseases and dental interventions. The aim of this study was to evaluate whether dental patients' reasons to visit the dentist fit the 4 OHRQoL dimensions. METHODS: Dentists (N = 1580) from 32 countries participated in a web-based survey. For their patients with current oral health problems, dentists were asked whether these problems were related to teeth, mouth, and jaws' function, pain, appearance, or psychosocial impact or whether they do not fit the aforementioned 4 categories. Dentists were also asked about their patients who intended to prevent future oral health problems. For both patient groups, the proportions of oral health problems falling into the 4 OHRQoL dimensions were calculated. RESULTS: For every 100 dental patients with current oral health problems, 96 had problems related to teeth, mouth, and jaws' function, pain, appearance, or psychosocial impact. For every 100 dental patients who wanted to prevent future oral health problems, 92 wanted to prevent problems related to these 4 OHRQoL dimensions. Both numbers increased to at least 98 of 100 patients when experts analyzed dentists' explanations of why some oral health problems would not fit the four dimension. For the remaining 2 of 100 patients, none of the dentist-provided explanations suggested evidence against the OHRQoL dimensions as the concepts that capture dental patients' suffering. CONCLUSION: Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact capture dental patients' oral health problems worldwide. These 4 OHRQoL dimensions offer a psychometrically sound and practical framework for patient care and research, identifying what is important to dental patients.

Survival of Short and Ultra-Short Locking-Taper Implants Supporting Single Crowns in the Posterior Mandible: A 3-Year Retrospective Study.

The purpose of this retrospective study was to determine survival and peri-implant marginal bone loss of short and ultra-short implants placed in the posterior mandible. A total of 98 patients received 201 locking-taper implants between January 2014 and January 2015. Implants were placed with a 2-stage approach and restored with single crowns. Clinical and radiographic examinations were performed at 3-year recall appointments. At that time, the proportion of implant survival by length, and variations of crestal bone levels (mean crestal bone loss and mean apical shift of the "first bone-to-implant contact point" position) were assessed. Significance level was set at 0.05. The total number of implants examined 36 months after loading included: 71 implants, 8.0 mm in length; 82 implants, 6.0 mm in length; and 48 implants, 5.0 mm in length. Five implants failed. The overall proportion of survival was 97.51%, with 98.59% for the 8.0-mm implants, 97.56% for the 6.0-mm implants, and 95.83% for the 5.0-mm implants. No statistically significant differences were found among the groups regarding implant survival (P = .73), mean crestal bone loss (P = .31), or mean apical shift of the "first bone-to-implant contact point" position (P = .36). Single-crown short and ultra-short implants may offer predictable outcomes in the atrophic posterior mandibular regions, though further investigations with longer follow-up evaluations are necessary to validate our results.

The Spanish Language 5-Item Oral Health Impact Profile.

OBJECTIVE: To test validity and reliability of the Spanish version of the 5-item Oral Health Impact Profile (OHIP-Sp5). METHODS: Spanish-speaking dental patients (n = 331, response rate = 61%, age: 42.9 + 12.3 years, 59% female) with a scheduled appointment at HealthPartners dental clinics in Minnesota, USA, were investigated. To assess score reliability, we computed Cronbach's alpha, expecting 'good' reliability (alpha > 0.70). To assess score validity, we correlated the OHIP-Sp5 summary score with five OHRQoL measures [49- and 14-item OHIP-Sp, the Spanish version of the General Oral Health Assessment Index (GOHAI-Sp), the Spanish version of the Oral Impacts on Daily Performances (OIDP-Sp) and a Global Oral Health Assessment]. We expected a pattern of 'very large' (r > 0.70) correlation coefficients for OHIP-Sp5 relationships with the two longer OHIP-Sp versions and 'large' (r > 0.50) correlation coefficients for the other three measures. RESULTS: Patients had a mean OHIP-Sp5 score of 3.7 (SD = 4.0). The Instrument's reliability was, as expected, 'good', according to the Cronbach's alpha statistic of 0.83. The Instrument's validity was supported by the expected pattern of validity coefficients. OHIP-Sp5 summary scores correlated with OHIP-Sp14 as well as with OHIP-Sp49 (both r = 0.95: 'very large' effect) and with GOHAI-Sp, OIDP and the Global Oral Health Assessment with r = -0.80, 0.73, and -0.56 (absolute effect magnitude all 'very large' or 'large'), respectively. CONCLUSIONS: The Spanish version of OHIP-5 is a brief and psychometrically sound instrument to measure oral health-related quality of life (OHRQoL) in Spanish-speaking populations. It can effectively replace longer OHIP instruments and would be applicable across all settings of clinical practice and research.

Adicción a internet y rendimiento académico de estudiantes de Odontología / Internet Addiction and Academic Performance in Dental Students

RESUMEN Objetivo: Estimar la asociación entre la adicción a internet (AI) y el rendimiento académico de los estudiantes de Odontología de la Universidad de Cartagena. Material y métodos: Estudio de corte transversal en 402 estudiantes, seleccionados de modo no probabilístico, que respondieron a un cuestionario anónimo autoaplicado que incluía variables sociodemográficas, rendimiento académico (promedio acumulado del último semestre), presencia de AI (test de Young) y variables relacionadas con la AI en función del rendimiento académico. Los datos se analizaron a partir de proporciones, relaciones entre variables con test de la X 2, y la asociación se obtuvo por razones de disparidad (OR) a través de regresión logística nominal. Resultados: El 75,3% de los estudiantes mostraban AI; el 24,63% utilizaba internet mucho menos que la población promedio; el 73,13% mostraba una AI leve; el 2,24%, una AI moderada y no hubo casos de AI grave; el 5,2% tenía bajo rendimiento académico. En el análisis multivariable, el modelo que mejor explica la AI en relación con el rendimiento académico fue: estudiar en semestres inferiores (OR = 0,54; IC95%, 0,32-0,91), estudiar en lugar distinto de la casa (OR = 3,38; IC95%, 1,71-6,68), usar elemento no portátil para estudiar (OR = 0,41; IC95%, 0,19-0,89), chatear por celular (OR = 2,43; IC95%, 1,45-3,06) y demorar más de 18 min (OR = 3,20; IC95%, 1,71-5,99) mientras se estudia. Conclusiones: El rendimiento académico no se asocia con la AI. Sin embargo, estudiar en semestres inferiores, en un lugar distinto de la casa, emplear elementos no portátiles para estudiar e invertir más de 18 min en contestar el celular y chatear mientras se estudia son covariables estadísticamente asociadas con la AI.

ABSTRACT Objective: To determine the association between Internet addiction (IA) and academic performance in dental students at the University of Cartagena. Material and methods: A cross-sectional study was conducted in 402 students included through non-probabilistic sampling who answered an anonymous and self-reporting questionnaire that included socio-demographic variables, academic performance (last semester overall grade), presence of IA (Young's Test) and covariates related to IA based on academic performance. Data were analysed by means of proportions, relationships between variables with the X 2 test and strength of association was estimated with odds ratios (OR) using nominal logistic regression. Results: Approximately 24.63% of the students used the Internet much less than the average population, but 75.3% had IA; 73.13% of cases were considered mild and 2.24% moderate. There were no severe cases. Around 5.2% had poor academic performance. In multivariate analysis, the model that best explained IA in relation to academic performance was: studying in lower-level courses (OR=0.54; 95% CI, 0.32-0.91); studying in a different places of the house (OR=3.38; 95% CI, 1.71-6.68); not using laptop for studying (OR=0.41; 95% CI, 0.19-0.89), chatting on mobile phone (OR=2.43; 95% CI, 1.45-3.06); and spending more than 18 minutes on mobile phone while studying (OR=3.20; 95% CI, 1.71-5.99). Conclusions: Academic performance was not associated with AI. However, studying in lower-level courses, in a different place of the house, not using laptop to study, and spending more than 18 minutes answering their mobile phone and chatting on mobile phone while studying were covariates statistically associated with IA.

Internet Addiction and Academic Performance in Dental Students. / Adicción a internet y rendimiento académico de estudiantes de Odontología.

OBJECTIVE: To determine the association between Internet addiction (IA) and academic performance in dental students at the University of Cartagena. MATERIAL AND METHODS: A cross-sectional study was conducted in 402 students included through non-probabilistic sampling who answered an anonymous and self-reporting questionnaire that included socio-demographic variables, academic performance (last semester overall grade), presence of IA (Young's Test) and covariates related to IA based on academic performance. Data were analysed by means of proportions, relationships between variables with the χ2 test and strength of association was estimated with odds ratios (OR) using nominal logistic regression. RESULTS: Approximately 24.63% of the students used the Internet much less than the average population, but 75.3% had IA; 73.13% of cases were considered mild and 2.24% moderate. There were no severe cases. Around 5.2% had poor academic performance. In multivariate analysis, the model that best explained IA in relation to academic performance was: studying in lower-level courses (OR=0.54; 95% CI, 0.32-0.91); studying in a different places of the house (OR=3.38; 95% CI, 1.71-6.68); not using laptop for studying (OR=0.41; 95% CI, 0.19-0.89), chatting on mobile phone (OR=2.43; 95% CI, 1.45-3.06); and spending more than 18 minutes on mobile phone while studying (OR=3.20; 95% CI, 1.71-5.99). CONCLUSIONS: Academic performance was not associated with AI. However, studying in lower-level courses, in a different place of the house, not using laptop to study, and spending more than 18minutes answering their mobile phone and chatting on mobile phone while studying were covariates statistically associated with IA.

Biologically Defined or Biologically Informed Traits Are More Heritable Than Clinically Defined Ones: The Case of Oral and Dental Phenotypes.

The genetic basis of oral health has long been theorized, but little information exists on the heritable variance in common oral and dental disease traits explained by the human genome. We sought to add to the evidence base of heritability of oral and dental traits using high-density genotype data in a well-characterized community-based cohort of middle-age adults. We used genome-wide association (GWAS) data combined with clinical and biomarker information in the Dental Atherosclerosis Risk In Communities (ARIC) cohort. Genotypes comprised SNPs directly typed on the Affymetrix Genome-Wide Human SNP Array 6.0 chip with minor allele frequency of >5% (n = 656,292) or were imputed using HapMap II-CEU (n = 2,104,905). We investigated 30 traits including "global" [e.g., number of natural teeth (NT) and incident tooth loss], clinically defined (e.g., dental caries via the DMFS index, periodontitis via the CDC/AAP and WW17 classifications), and biologically informed (e.g., subgingival pathogen colonization and "complex" traits). Heritability (i.e., variance explained; h2) was calculated using Visscher's Genome-wide Complex Trait Analysis (GCTA), using a random-effects mixed linear model and restricted maximum likelihood (REML) regression adjusting for ancestry (10 principal components), age, and sex. Heritability estimates were modest for clinical traits-NT = 0.11 (se = 0.07), severe chronic periodontitis (CDC/AAP) = 0.22 (se = 0.19), WW17 Stage 4 vs. 1/2 = 0.15 (se = 0.11). "High gingival index" and "high red complex colonization" had h2 > 0.50, while a periodontal complex trait defined by high IL-1ß GCF expression and Aggregatibacter actinomycetemcomitans subgingival colonization had the highest h2 = 0.72 (se = 0.32). Our results indicate that all GWAS SNPs explain modest levels of the observed variance in clinical oral and dental measures. Subgingival bacterial colonization and complex phenotypes encompassing both bacterial colonization and local inflammatory response had the highest heritability, suggesting that these biologically informed traits capture aspects of the disease process and are promising targets for genomics investigations, according to the notion of precision oral health.