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

Implementation of a Food Science and Nutrition Module in a Dental Undergraduate Curriculum

Although it is generally acknowledged that nutrition should be a core subject in curricula, most dental programmes do not specifically include nutrition education.1–5 The rationale for improving the nutrition education of dental students is supported by the multidirectional and synergistic relationship between nutrition and oral health.6,7 As highlighted recently, achieving a population-wide reduction in free sugar consumption has now become a central tenet for public health authorities and professional healthcare workers globally.8 However, dentists do not have the confidence or competencies to assess or deliver appropriate dietary interventions

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

Abstract 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

The advantage of women in cancer survival: An analysis of EUROCARE-4 data

We analysed 1.6 million population-based EUROCARE-4 cancer cases (26 cancer sites, excluding sex-specific sites, and breast) from 23 countries to investigate the role of sex in cancer survival according to age at diagnosis, site, and European region. For 15 sites (salivary glands, head and neck, oesophagus, stomach, colon and rectum, pancreas, lung, pleura, bone, melanoma of skin, kidney, brain, thyroid, Hodgkin disease and non-Hodgkin's lymphoma) age- and region-adjusted relative survival was significantly higher in women than men. By multivariable analysis, women had significantly lower relative excess risk (RER) of death for the sites listed above plus multiple myeloma. Women significantly had higher RER of death for biliary tract, bladder and leukaemia. For all cancers combined women had a significant 5% lower RER of death. Age at diagnosis was the main determinant of the women's advantage, which, however, decreased with increasing age, becoming negligible in the elderly, suggesting that sex hormone patterns may have a role in women's superior ability to cope with cancer. © 2008 Elsevier Ltd. All rights reserved

Long-term survival expectations of cancer patients in Europe in 2000-2002.

Period analysis has been shown to provide more up-to-date estimates of long-term cancer survival rates than traditional cohort-based analysis. Here, we provide detailed period estimates of 5- and 10-year relative survival by cancer site, country, sex and age for calendar years 2000-2002. In addition, pan-European estimates of 1-, 5- and 10-year relative survival are provided. Overall, survival estimates were mostly higher than previously available cohort estimates. For most cancer sites, survival in countries from Northern Europe, Central Europe and Southern Europe was substantially higher than in the United Kingdom and Ireland and in countries from Eastern Europe. Furthermore, relative survival was also better in female than in male patients and decreased with age for most cancer sites

Comparative cancer survival information in Europe.

Zambon P for EUROCARE Working Group (in appendix

EUROCARE-4. Survival of cancer patients diagnosed in 1995-1999. Results and commentary.

EUROCARE-4 analysed about three million adult cancer cases from 82 cancer registries in 23 European countries, diagnosed in 1995-1999 and followed to December 2003. For each cancer site, the mean European area-weighted observed and relative survival at 1-, 3-, and 5-years by age and sex are presented. Country-specific 1- and 5-year relative survival is also shown, together with 5-year relative survival conditional to surviving 1-year. Within-country variation in survival is analysed for selected cancers. Survival for most solid cancers, whose prognosis depends largely on stage at diagnosis (breast, colorectum, stomach, skin melanoma), was highest in Finland, Sweden, Norway and Iceland, lower in the UK and Denmark, and lowest in the Czech Republic, Poland and Slovenia. France, Switzerland and Italy generally had high survival, slightly below that in the northern countries. There were between-region differences in the survival for haematologic malignancies, possibly due to differences in the availability of effective treatments. Survival of elderly patients was low probably due to advanced stage at diagnosis, comorbidities, difficult access or lack of availability of appropriate care. For all cancers, 5-year survival conditional to surviving 1-year was higher and varied less with region, than the overall relative survival

The EUROCARE-4 database on cancer survival in Europe: data standardisation, quality control and methods of statistical analysis.

This paper describes the collection, standardisation and checking of cancer survival data included in the EUROCARE-4 database. Methods for estimating relative survival are also described. Incidence and vital status data on newly diagnosed European cancer cases were received from 93 cancer registries in 23 countries, covering 151,400,000 people (35% of the participating country population). The third revision of the International Classification of Diseases for Oncology was used to specify tumour topography and morphology. Records were extensively checked for consistency and compatibility using multiple routines; flagged records were sent back for correction. An algorithm assigned standardised sequence numbers to multiple cancers. Only first malignant cancers were used to estimate relative survival from registry, year, sex and age-specific life tables. Age-adjusted and Europe-wide survival were also estimated. The database contains 13,814,573 cases diagnosed in 1978-2002; 92% malignant. A negligible proportion of records was excluded for major errors. Of 5,753,934 malignant adult cases diagnosed in 1995-2002, 5.3% were second or later cancers, 2.7% were known from death certificates only and 0.4% were discovered at autopsy. The remaining 5,278,670 cases entered the survival analyses, 90% of these had microscopic confirmation and 1.3% were censored alive after less than five years' follow-up. These indicators suggest satisfactory data quality that has improved since EUROCARE-3

Survival of European children and young adults with cancer diagnosed 1995-2002.

This study analyses survival in 40,392 children (age 0-14 years) and 30,187 adolescents/young adults (age 15-24 years) diagnosed with cancer between 1995 and 2002. The cases were from 83 European population-based cancer registries in 23 countries participating in EUROCARE-4. Five-year survival in countries and in regional groupings of countries was compared for all cancers combined and for major cancers. Survival for 15 rare cancers in children was also analysed. Five-year survival for all cancers combined was 81% in children and 87% in adolescents/young adults. Between-country survival differences narrowed for both children and adolescents/young adults. Relative risk of death reduced significantly, by 8% in children and by 13% in adolescents/young adults, from 1995-1999 to 2000-2002. Survival improved significantly over time for acute lymphoid leukaemia and primitive neuroectodermal tumours in children and for non-Hodgkin lymphoma in adolescents/young adults. Cancer survival in patients <25 years is poorly documented in Eastern European countries. Complete cancer registration should be a priority for these countries as an essential part of a policy for effective cancer control in Europe