Protocol for developing a dashboard for interactive cohort analysis of oral health-related data.

INTRODUCTION: A working knowledge of data analytics is becoming increasingly important in the digital health era. Interactive dashboards are a useful, accessible format for presenting and disseminating health-related information to a wide audience. However, many oral health researchers receive minimal data visualisation and programming skills. OBJECTIVES: The objective of this protocols paper is to demonstrate the development of an analytical, interactive dashboard, using oral health-related data from multiple national cohort surveys. METHODS: The flexdashboard package was used within the R Studio framework to create the structure-elements of the dashboard and interactivity was added with the Shiny package. Data sources derived from the national longitudinal study of children in Ireland and the national children's food survey. Variables for input were selected based on their known associations with oral health. The data were aggregated using tidyverse packages such as dplyr and summarised using ggplot2 and kableExtra with specific functions created to generate bar-plots and tables. RESULTS: The dashboard layout is structured by the YAML (YAML Ain't Markup Language) metadata in the R Markdown document and the syntax from Flexdashboard. Survey type, wave of survey and variable selector were set as filter options. Shiny's render functions were used to change input to automatically render code and update output. The deployed dashboard is openly accessible at https://dduh.shinyapps.io/dduh/ . Examples of how to interact with the dashboard for selected oral health variables are illustrated. CONCLUSION: Visualisation of national child cohort data in an interactive dashboard allows viewers to dynamically explore oral health data without requiring multiple plots and tables and sharing of extensive documentation. Dashboard development requires minimal non-standard R coding and can be quickly created with open-source software.

Implementation of a food science and nutrition module in a dental undergraduate curriculum.

INTRODUCTION: To outline the development and implementation of a food science and nutrition module for dental undergraduate students that provides basic knowledge and clinical skills for improving oral health outcomes and understanding their importance for overall health. MATERIALS AND METHODS: Interdisciplinary discussions with professionals with expertise in food science and nutrition, including dentists, dietitians and nutritionists, were held to agree on core subject areas in line with the evidence base. The module was delivered online to 2nd-year dental students due to COVID-19 restrictions. Students completed an online evaluation on completing the module. Final examination consisted of one essay question. RESULTS: Subject areas and learning outcomes were derived from current and previous approaches to curriculum development. A total of 14 prerecorded lectures, including healthy eating guidelines, dietary assessment, specific oral effects of diet and food constituents were delivered and tutorials provided. The evaluation survey had a 90% (n = 39/43) response rate. A majority indicated that the course was "interesting," "worth doing" (59%) and "provided a good evidence base to understand nutrition and oral health" (87%). Nearly all students (92%) agreed that the course was "sufficiently structured to allow understanding of the key topics" and that "a good understanding of nutrition is important for a dentist" (95%). CONCLUSION: A food science and nutrition module developed by a multidisciplinary team enabled dental students to gain an understanding of the role of diet in oral and overall health. The module facilitated the development of skills that enable students to utilise dietary assessment techniques and promote dietary interventions beneficial to oral health. The approach taken may act as a template for other institutions.

Estimation and consumption pattern of free sugar intake in 3-year-old Irish preschool children.

PURPOSES: Dietary free sugars (FS) are the most important risk factor for dental caries and can contribute to excess energy intake. Measuring FS intake is limited by food composition databases and appropriate dietary assessment methods. The aim of this analysis was to estimate total sugar (TS) and FS intakes for Irish pre-schoolers and examine the proportion of dietary TS and FS captured using a short food questionnaire (SFQ). METHODS: This is a secondary analysis of 3-year-old children from two national surveys; Growing Up in Ireland (GUI), N = 9793 of whom 49% were girls and the National Preschool Nutrition Survey (NPNS), N = 126 and 52% were girls. GUI used SFQs and NPNS used semi-weighed food diaries to collect dietary data from 3-year-old children. Dietary intake databases were linked using an established approach. Mean daily TS and FS intakes and frequency were calculated, and consumption patterns from foods and meals are presented. The proportion of foods that were covered or non-covered by the GUI SFQ was calculated by comparison with the NPNS food diary. RESULTS: 75% of 3 year-olds had FS intake greater than the maximum recommended by WHO guidelines for free sugar intake, while 4% met the lower threshold. The median frequency of TS and FS consumption was 5.0 (4.0-6.0) and 4.0 (3.0-5.0) times/day. Less than one-quarter of TS intake (g/day) was non-covered by the GUI SFQ while less than one-third of FS intake was non-covered. CONCLUSIONS: A large majority of 3-year-old Irish children do not meet the WHO recommended guidelines for FS intake and almost none meet the desired conditional recommendation. SFQs only capture two-thirds of FS intake at this early age.

Dental caries in children in Ireland: A systematic review.

BACKGROUND: Dental caries is the most common childhood disease worldwide. In the mid-1960s, mandatory Community Water Fluoridation (CWF) was introduced in the Republic of Ireland (RoI) aimed at reducing the prevalence and severity of dental caries in the population. In 2017, approximately, 71% of the Irish population was supplied with fluoridated drinking water. OBJECTIVES: To review all children's dental health surveys at National, Regional and County-levels conducted in the Republic of Ireland from 1950 to 2021 and describe trends in dental caries prevalence. The secondary objective was to compare dental caries experience in children living in areas with and without CWF. METHODS: Seven databases (Embase, Medline Ovid, PubMed, Cochrane, Web of Science, Scopus and Lenus Ireland) were systematically searched followed by lateral searches from reference lists. Studies reporting the caries experience of Irish children were eligible for inclusion. Two authors independently evaluated the quality of included studies using the Joanna Briggs Institute Critical Appraisal Checklist. RESULTS: Thirty-one studies were included. Over the last 70 years, at National, Regional and County levels, mean dmft/DMFT (decayed, missing and filled teeth) scores have decreased and the percentage of caries-free children has increased in 5, 8, 12, and 15-year-olds. The decline in dental caries indices observed throughout the country was greater in children living in areas with CWF. Between the 1960s and 2002, the mean dmft scores for 5-year-olds living in the RoI were reduced by approximately 82% and 69% for the fluoridated and non-fluoridated groups respectively. Reduction in the mean DMFT scores for the 12-year-olds were 75% and 71%, respectively, for the fluoridated and non-fluoridated groups. Between 1961 and 2014, reductions in the mean dmft/DMFT scores among 5 and 12-years-olds living in County Dublin were approximately 88% and 90% respectively. These results should be interpreted in the context of widespread use of fluoridated toothpaste in the RoI. CONCLUSIONS: Large reductions in the prevalence of dental caries in Irish children have been observed over the last seven decades. Greater dental caries reductions have been reported among children living in areas with CWF compared to those without CWF.

Evaluating the harmonization potential of oral health-related questionnaires in national longitudinal birth and child cohort surveys.

BACKGROUND/OBJECTIVES: Effective use of longitudinal study data is challenging because of divergences in the construct definitions and measurement approaches over time, between studies and across disciplines. One approach to overcome these challenges is data harmonization. Data harmonization is a practice used to improve variable comparability and reduce heterogeneity across studies. This study describes the process used to evaluate the harmonization potential of oral health-related variables across each survey wave. METHODS: National child cohort surveys with similar themes/objectives conducted in the last two decades were selected. The Maelstrom Research Guidelines were followed for harmonization potential evaluation. RESULTS: Seven nationally representative child cohort surveys were included and questionnaires examined from 50 survey waves. Questionnaires were classified into three domains and fifteen constructs and summarized by age groups. A DataSchema (a list of core variables representing the suitable version of the oral health outcomes and risk factors) was compiled comprising 42 variables. For each study wave, the potential (or not) to generate each DataSchema variable was evaluated. Of the 2100 harmonization status assessments, 543 (26%) were complete. Approximately 50% of the DataSchema variables can be generated across at least four cohort surveys while only 10% (n = 4) variables can be generated across all surveys. For each survey, the DataSchema variables that can be generated ranged between 26% and 76%. CONCLUSION: Data harmonization can improve the comparability of variables both within and across surveys. For future cohort surveys, the authors advocate more consistency and standardization in survey questionnaires within and between surveys.

Data Mapping From Food Diaries to Augment the Amount and Frequency of Foods Measured Using Short Food Questionnaires.

Collecting accurate and detailed dietary intake data is costly at a national level. Accordingly, limited dietary assessment tools such as Short Food Questionnaires (SFQs) are increasingly used in large surveys. This paper describes a novel method linking matched datasets to improve the quality of dietary data collected. Growing Up in Ireland (GUI) is a nationally representative longitudinal study of infants in the Republic of Ireland which used a SFQ (with no portion sizes) to assess the intake of "healthy" and "unhealthy" food and drink by 3 years old preschool children. The National Preschool Nutrition Survey (NPNS) provides the most accurate estimates available for dietary intake of young children in Ireland using a detailed 4 days weighed food diary. A mapping algorithm was applied using food name, cooking method, and food description to fill all GUI food groups with information from the NPNS food datafile which included the target variables, frequency, and amount. The augmented data were analyzed to examine all food groups described in NPNS and GUI and what proportion of foods were covered, non-covered, or partially-covered by GUI food groups, as a percentage of the total number of consumptions. The term non-covered indicated a specific food consumption that could not be mapped using a GUI food group. "High sugar" food items that were non-covered included ready-to-eat breakfast cereals, fruit juice, sugars, syrups, preserves and sweeteners, and ice-cream. The average proportion of consumption frequency and amount of foods not covered by GUI was 44 and 34%, respectively. Through mapping food codes in this manner, it was possible, using density plots, to visualize the relative performance of the brief dietary instrument (SFQ) compared to the more detailed food diary (FD). The SFQ did not capture a substantial portion of habitual foods consumed by 3-year olds in Ireland. Researchers interested in focussing on specific foods, could use this approach to assess the proportion of foods covered, non-covered, or partially-covered by reference to the mapped food database. These results can be used to improve SFQs for future studies and improve the capacity to identify diet-disease relationships.

Weight Status and Dental Problems in Early Childhood: Classification Tree Analysis of a National Cohort.

A poor quality diet may be a common risk factor for both obesity and dental problems such as caries. The aim of this paper is to use classification tree analysis (CTA) to identify predictors of dental problems in a nationally representative cohort of Irish pre-school children. CTA was used to classify variables and describe interactions between multiple variables including socio-demographics, dietary intake, health-related behaviour, body mass index (BMI) and a dental problem. Data were derived from the second (2010/2011) wave of the 'Growing Up in Ireland' study (GUI) infant cohort at 3 years, n = 9793. The prevalence of dental problems was 5.0% (n = 493). The CTA model showed a sensitivity of 67% and specificity of 58.5% and overall correctly classified 59% of children. Ethnicity was the most significant predictor of dental problems followed by longstanding illness or disability, mother's BMI and household income. The highest prevalence of dental problems was among children who were obese or underweight with a longstanding illness and an overweight mother. Frequency of intake of some foods showed interactions with the target variable. Results from this research highlight the interconnectedness of weight status, dental problems and general health and reinforce the importance of adopting a common risk factor approach when dealing with prevention of these diseases.