Canadian Dietary Intakes Assessed by Nutrient Profiling Models and Association with Mortality and Cardiovascular Disease.

Nutrient profiling (NP) ranks foods according to nutritional composition and underpins policies (e.g., front-of-package (FOP) labelling).

Deep Learning-Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

Background: Artificial intelligence (AI)-based tools have shown promise in histopathology image analysis in improving the accuracy of oral squamous cell carcinoma (OSCC) detection with intent to reduce human error.

Objectives: This systematic review and meta-analysis evaluated deep learning (DL) models for OSCC detection on histopathology images by assessing common diagnostic performance evaluation metrics for AI-based medical image analysis studies.

Methods: Diagnostic accuracy studies that used DL models for the analysis of histopathological images of OSCC compared to the reference standard were analyzed.

Energy-Dense and Low-Fiber Dietary Pattern May Be a Key Contributor to the Rising Obesity Rates in Brazil.

Hybrid methods are a suitable option for extracting dietary patterns associated with health outcomes. This study aimed to identify the dietary patterns of Brazilian adults (20-59 years old; = 28,153) related to dietary components associated with the risk of obesity. Data from the 2017-2018 Brazilian National Dietary Survey were analyzed.

Modelling Food Substitution Using the Ofcom Nutrient Profiling Model on Population Intakes from the Canadian Community Health Survey-Nutrition 2015.

This study aimed to model how substituting foods consumed by Canadians for alternatives with more favourable nutrient profiling (NP) scores would impact dietary intakes. The Ofcom NP system, developed to help the UK Office of Communication differentiate foods that can be advertised to children, was applied to foods consumed by Canadians aged 2 years and older in the 2015 Canadian Community Health Survey (CCHS) ( = 19,447). Foods were substituted for similar options from the Euromonitor branded food composition database (Scenario 1) or from the primarily aggregated food profiles in the CCHS survey food composition database (Scenario 2) with either the most favourable (optimistic; 1A and 2A) or a more favourable Ofcom score (realistic; 1B and 2B).

World Workshop on Oral Medicine VIII: barriers to research in oral medicine: lessons learned from a bibliometric analysis of the oral potentially malignant disorders literature.

Objective: This study aimed to assess the impact of oral medicine (OM) practitioners on the literature regarding oral potentially malignant disorders (OPMDs), focusing on oral leukoplakia.

Study Design: Using a bibliometric approach on the Scopus database until September 1, 2022, the top 100 cited articles were analyzed for article type, subtopic, specialty contributions, author metrics, and keywords. The Bibliometrix package for R and VOSviewer were used to evaluate interactions and generate science maps.

Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions.

Generative adversarial networks (GANs) have gained significant attention in the field of image synthesis, particularly in computer vision. GANs consist of a generative model and a discriminative model trained in an adversarial setting to generate realistic and novel data. In the context of image synthesis, the generator produces synthetic images, whereas the discriminator determines their authenticity by comparing them with real examples.

Development and Evaluation of the Dietary Pattern Calculator (DiPaC) for Personalized Assessment and Feedback.

This study aimed to develop and validate a diet assessment screener - the Dietary Pattern Calculator (DiPaC). A scoping review identified currently available short diet quality assessment tools. Twenty-one articles covering 19 unique tools were included.

Construct validity and reliability of the Canadian Eating Practices Screener to assess eating practices based on 2019 Canada's Food Guide recommendations.

For the first time since its introduction, the 2019 Canada's Food Guide (2019-CFG) highlighted specific guidance on eating practices, i.e., recommendations on where, when, why, and how to eat.

Development of the Canadian Eating Practices Screener to assess eating practices based on 2019 Canada's Food Guide recommendations.

In 2019, Health Canada released a new iteration of Canada's Food Guide (2019-CFG), which, for the first time, highlighted recommendations regarding eating practices, i.e., guidance on where, when, why, and how to eat.

Alcohol Consumption, Genetic Risk, and Intraocular Pressure and Glaucoma: The Canadian Longitudinal Study on Aging.

Purpose: The purpose of this study was to examine the association of alcohol consumption with intraocular pressure (IOP) and glaucoma and to assess whether any associations are modified by a glaucoma polygenic risk score (PRS).

Methods: Cross-sectional analysis of data from the Canadian Longitudinal Study on Aging Comprehensive Cohort, consisting of 30,097 adults ages 45 to 85 years, was done. Data were collected from 2012 to 2015.

The Canadian Food Intake Screener for assessing alignment of adults' dietary intake with the 2019 Canada's Food Guide healthy food choices recommendations: scoring system and construct validity.

The Canadian Food Intake Screener was developed to rapidly assess alignment of dietary intake with the Canada's Food Guide-2019 healthy food choices recommendations. Scoring is aligned with the Healthy Eating Food Index-2019 to the extent possible. Among a sample of adults, reasonable variation in screener scores was noted, mean screener scores differed between some subgroups with known differences in diet quality, and a moderate correlation between screener scores and total Healthy Eating Food Index-2019 scores based on repeat 24 h dietary recalls was observed.

Adherence to a priori dietary patterns in relation to obesity: results from two cycles of the Canadian National Nutrition Survey.

Objective: To test whether adherence to the Mediterranean diet, the Dietary Approaches to Stop Hypertension (DASH) or a dietary pattern in-line with the 2015-2020 Dietary Guidelines for Americans (DGA) was associated with obesity.

Design: 24-h dietary recall data from the Canadian Community Health Survey (CCHS)-Nutrition, 2004 and 2015 cycles, were analysed. Diet quality index scores were computed for the Mediterranean-Style Dietary Pattern Score (MSDPS), a DASH index and the 2015 Dietary Guidelines for Americans Adherence Index (DGAI).

Algorithm-based mapping of products in a branded Canadian food and beverage database to their equivalents in Health Canada's Canadian Nutrient File.

Introduction: There is increasing recognition of the value of linking food sales databases to national food composition tables for population nutrition research.

Objectives: Expanding upon automated and manual database mapping approaches in the literature, our aim was to match 1,179 food products in the Canadian data subset of Euromonitor International's Passport Nutrition to their closest respective equivalents in Health Canada's Canadian Nutrient File (CNF).

Methods: Matching took place in two major steps.

Mortality and Life Expectancy Lost in Canada Attributable to Dietary Patterns: Evidence From Canadian National Nutrition Survey Linked to Routinely Collected Health Administrative Databases.

Using 5 diet quality indexes, we estimated the mortality and life expectancy lost, at the national level, attributable to poor dietary patterns, which had previously been largely unknown. We used the Canadian Community Health Survey 2004, linked to vital statistics (n = 16,212 adults; representing n = 22,898,880). After a median follow-up of 7.

Linkage of the nationally representative Canadian Community Health Survey - Nutrition 2004 to routinely collected mortality records.

The Canadian Community Health Survey (CCHS) - Nutrition 2004 (n=35,107; interview dates from January 2004 to January 2005) linked to the Canadian Vital Statistics - Death Database (CVSD) (2011) represents a novel linkage of a population-based, nationally representative nutrition survey with routinely collected mortality records (including date and cause of death). The linkage was done through individual tax data in Canada, and contains longitudinal records for 29,897 Canadians aged 0 years and older-1,753 of whom died-in the 10 provinces of Canada. The median follow-up time was 7.

Associations between dietary patterns and cardiovascular disease risk in Canadian adults: a comparison of partial least squares, reduced rank regression, and the simplified dietary pattern technique.

Background: Hybrid methodologies have gained continuing interest as unique data reduction techniques for establishing a direct link between dietary exposures and clinical outcomes.

Objectives: We aimed to compare partial least squares (PLS) and reduced rank regression (RRR) in identifying a dietary pattern associated with a high cardiovascular disease (CVD) risk in Canadian adults, construct PLS- and RRR-based simplified dietary patterns, and assess associations between the 4 dietary pattern scores and CVD risk.

Methods: Data were collected from 24-h dietary recalls of adult respondents in the 2 cycles of the nationally representative Canadian Community Health Survey (CCHS)-Nutrition: CCHS 2004 linked to health administrative databases (n = 12,313) and CCHS 2015 (n = 14,020).

Creating "Plates" to Evaluate Canadians' Dietary Intake in Relation to the 2019 Canada's Food Guide.

Purpose: Explore Canadians' dietary intake in relation to the 2019 (CFG) Plate using novel volume-based food analyses, by age and meal occasion.

Methods: Foods reported in 24-hour recalls by 20,456 Canadians in the 2015 Canadian Community Health Survey - Nutrition were classified as: Vegetables and Fruits, Whole Grain Foods, Protein Foods, Non-Whole Grain Foods or Other Foods (high in fat, sugar, sodium). Food volumes were used to calculate percent contributions of each grouping to total intake, stratified by age (1-6; 7-12; 13-17; 18-64; 65+years) and meal (breakfast, lunch, supper, snack), applying sample survey weights and bootstrapping.

Sodium, added sugar and saturated fat intake in relation to mortality and CVD events in adults: Canadian National Nutrition Survey linked with vital statistics and health administrative databases.

This study aimed to determine whether higher intakes of Na, added sugars and saturated fat are prospectively associated with all-cause mortality and CVD incidence and mortality in a diverse population. The nationally representative Canadian Community Health Survey-Nutrition 2004 was linked with the Canadian Vital Statistics - Death Database and the Discharge Abstract Database (2004-2011). Outcomes were all-cause mortality and CVD incidence and mortality.

Comparison of mortality hazard ratios associated with health behaviours in Canada and the United States: a population-based linked health survey study.

Background: Modern health surveillance and planning requires an understanding of how preventable risk factors impact population health, and how these effects vary between populations. In this study, we compare how smoking, alcohol consumption, diet and physical activity are associated with all-cause mortality in Canada and the United States using comparable individual-level, linked population health survey data and identical model specifications.

Methods: The Canadian Community Health Survey (CCHS) (2003-2007) and the United States National Health Interview Survey (NHIS) (2000, 2005) linked to individual-level mortality outcomes with follow up to December 31, 2011 were used.

Adherence to emerging plant-based dietary patterns and its association with cardiovascular disease risk in a nationally representative sample of Canadian adults.

Background: Little is known about the role of emerging plant-based dietary patterns in cardiovascular disease (CVD) risk at the national population level.

Objectives: The objectives of this research were to assess the validity and reliability of newly established plant-based dietary indices, and to evaluate their associations with CVD risk among Canadian adults.

Methods: Data were obtained from repeated 24-h dietary recalls of adult participants in the cross-sectional, nationally representative Canadian Community Health Survey cycle 2004 linked to health administrative databases (n = 12,323) and cycle 2015 (n = 14,026).

Socioeconomic position and consumption of sugary drinks, sugar-sweetened beverages and 100% juice among Canadians: a cross-sectional analysis of the 2015 Canadian Community Health Survey-Nutrition.

Objective: The aim of this study was to describe sugary drink (beverages with free sugars), sugar-sweetened beverage (beverages with added sugars, SSB) and 100% juice (beverages with natural sugars) consumption across socioeconomic position (SEP) among Canadians.

Methods: We conducted a cross-sectional analysis of 19,742 respondents of single-day 24-h dietary recalls in the nationally representative 2015 Canadian Community Health Survey-Nutrition. Poisson regressions were used to estimate the prevalence of consuming each beverage type on a given day.

Evaluation of the Healthy Eating Food Index (HEFI)-2019 measuring adherence to Canada's Food Guide 2019 recommendations on healthy food choices.

The objective of this study was to evaluate the construct validity and reliability of the Healthy Eating Food Index-2019 (HEFI-2019), which was developed to measure adherence to Canada's Food Guide 2019 (CFG-2019) recommendations on healthy food choices. Dietary intake data from 24-hour dietary recalls in the 2015 Canadian Community Health Survey-Nutrition were used for that purpose. Multidimensionality was examined using principal component analysis.