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. The current tools mainly focused on individual nutrients or food groups or were developed for a specific population, and few ascertained overall dietary patterns. The 24-hour dietary recalls from the nationally representative Canadian Community Health Survey (CCHS)-Nutrition 2015 (n = 13,958) were used to derive and validate a personalized dietary pattern informed by the scoping review using weighted partial least squares. The dominant dietary pattern in CCHS-Nutrition 2015 was characterized by high consumption of fast foods, carbonated drinks, and salty snacks and low consumption of whole fruits, orange vegetables, other vegetables and juices, whole grains, dark green vegetables, legumes, and soy. The dietary pattern assessment was used to create and evaluate DiPaC following an agile and user-centred research and development approach. DiPaC, which demonstrated high validity and intermediate reliability (internal consistency = 0.47-0.51), is publicly available at https://www.projectbiglife.ca/. DiPaC can be used by the public, clinicians, and researchers for quick and robust assessment of diet quality, providing immediate feedback with the advantage of being easy to implement.

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. The Canadian Eating Practices Screener / Questionnaire court canadien sur les pratiques alimentaires was developed to assess eating practices based on the 2019-CFG healthy eating recommendations. The objective of this cross-sectional study was to assess the construct validity and reliability of the Canadian Eating Practices Screener. From July to December 2021, adults (n = 154) aged 18-65 years completed a sociodemographic questionnaire and the screener. Construct validity was assessed by examining variability in screener scores, by comparing screener scores among subgroups with hypothesized differences in eating practices, and by examining the correlation between screener scores and fruit and vegetable intake. Reliability, i.e., internal consistency, was assessed by calculating Cronbach's coefficient alpha. Screener item scores were summed to provide a total score ranging from 21 to 105. The mean screener score was 76 (SD = 8.4; maximum, 105), ranging from 53 (1st percentile) to 92 (99th percentile). Differences in total scores in hypothesized directions were observed by age (p = 0.006), perceived income adequacy (p = 0.09), educational attainment (p = 0.002), and smoking status (p = 0.09), but not by gender or health literacy level. The correlation between screener scores and fruit and vegetable intake was 0.29 (p = 0.002). The Cronbach's coefficient alpha was 0.79, suggesting acceptable to high internal consistency. Study findings provide preliminary evidence of the screener's construct validity and reliability, supporting its use to assess eating practices based on the 2019-CFG healthy eating recommendations.

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. The objective of this study was to develop a brief self-administered screener to assess eating practices recommended in the 2019-CFG among adults aged 18-65 years. Development of the screener items was informed by a review of existing tools and mapping of items onto 2019-CFG recommendations. Face and content validity were assessed with experts in public health nutrition and/or dietary assessment (n = 16) and individuals from Government of Canada (n = 14). Cognitive interviews were conducted with English-speaking (n = 16) and French-speaking (n = 16) adults living in Canada to assess face validity and understanding of the screener items. While some modifications were identified to improve relevance or clarity, overall, the screener items were found to be relevant, well-constructed, and clearly worded. This comprehensive process resulted in the Canadian Eating Practices Screener/Questionnaire court canadien sur les pratiques alimentaires, which includes 21 items that assess eating practices recommended in the 2019-CFG. This screener can facilitate monitoring and surveillance efforts of the 2019-CFG eating practices as well as research exploring how these practices are associated with various health outcomes.

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. Alcohol consumption frequency (never, occasional, weekly, and daily) and type (red wine, white wine, beer, liquor, and other) were measured by an interviewer-administered questionnaire. Total alcohol intake (grams/week) was estimated. IOP was measured in mm Hg using the Reichert Ocular Response Analyzer. Participants reported a diagnosis of glaucoma from a doctor. Logistic and linear regression models were used to adjust for demographic, behavioral, and health variables. Results: Daily drinkers had higher IOP compared to those who never drank (ß = 0.45, 95% confidence interval (CI) = 0.05, 0.86). An increase in total weekly alcohol intake (per 5 drinks) was also associated with higher IOP (ß = 0.20, 95% CI = 0.15, 0.26). The association between total alcohol intake and IOP was stronger in those with a higher genetic risk of glaucoma (P for interaction term = 0.041). There were 1525 people who reported being diagnosed with glaucoma. Alcohol consumption frequency and total alcohol intake were not associated with glaucoma. Conclusions: Alcohol frequency and total alcohol intake were associated with elevated IOP but not with glaucoma. The PRS modified the association between total alcohol intake and IOP. Findings should be confirmed in longitudinal analyses.

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.

NOVELTY: 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. The Canadian Food Intake Screener has moderate construct validity for rapid assessment of overall alignment of adults' dietary intake with the Canada's Food Guide-2019 healthy food choices recommendations.

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). Higher scores indicated greater adherence. Association between scores and obesity was examined using logistic regression, adjusting for age, sex, physical activity, smoking status, sequence of dietary recall and alcohol and energy intake. SETTING: Canada (excluding territories and the institutionalised population). PARTICIPANTS: Canadian adults (≥ 18 years), non-pregnant and non-breast-feeding; 11 748 from CCHS 2004 and 12 110 from CCHS 2015. The percentage of females in each sample was 50 %. RESULTS: Mean MSDPS, DASH and DGAI scores were marginally but significantly higher in CCHS 2015 than in CCHS 2004. Those affected by obesity obtained lower scores for all indexes in CCHS 2004 (OR 10th v. 90th percentile for DASH: 2·23 (95 % CI 1·50, 3·32), DGAI: 3·01 (95 % CI 1·98, 4·57), MSDPS: 2·02 (95 % CI 1·14, 3·58)). Similar results were observed in CCHS 2015; however, results for MSDPS were not significant (OR 10th v. 90th percentile for DASH: 2·45 (95 % CI 1·72, 3·49), DGAI: 2·73 (95 % CI 1·85, 4·03); MSDPS: 1·30 (95 % CI 0·82, 2·06)). CONCLUSION: Following DASH or the 2015-2020 DGA was associated with a lower likelihood of obesity. Findings do not indicate causation, as the data are cross-sectional.

Development of the Canadian Food Intake Screener to assess alignment of adults' dietary intake with the 2019 Canada's Food Guide healthy food choices recommendations.

NOVELTY: The Canadian Food Intake Screener was developed to rapidly assess alignment of adults' dietary intake over the past month with the Food Guide's healthy food choices recommendations. The screener was developed and evaluated through an iterative process that included three rounds of cognitive interviews in each of English and French, along with ongoing feedback from external advisors and face and content validity testing with a separate panel of content experts. The 16-question screener is intended for use with adults, aged 18-65 years, with marginal and higher health literacy in research and surveillance contexts in which comprehensive dietary assessment is not possible.

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 7.5 years, 1,722 deaths were recorded. Population attributable fractions were calculated to estimate the mortality burden of poor dietary patterns (Dietary Guidelines for Americans Adherence Index 2015, Dietary Approaches to Stop Hypertension, Healthy Eating Index, Alternative Healthy Eating Index, and Mediterranean Style Dietary Pattern Score). Better diet quality was associated with a 32%-51% and 21%-43% reduction in all-cause mortality among adults aged 45-80 years and ≥20 years, respectively. Projected life expectancy at 45 years was longer for Canadians adhering to a healthy dietary pattern (average of 5.2-8.0 years (men) and 1.6-4.1 (women)). At the population level, 26.5%-38.9% (men) and 8.9%-22.9% (women) of deaths were attributable to poor dietary patterns. Survival benefit was greater for individuals with higher scores on all diet indexes, even with relatively small intake differences. The large attributable burden was likely from assessing overall dietary patterns instead of a limited range of foods and nutrients.

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. There were 1722 mortality cases within 115 566 person-years of follow-up (median (interquartile range) of 7·48 (7·22-7·70) years). There was no statistically significant association between Na density or energy from saturated fat and all-cause mortality or CVD events for all models investigated. The association of usual percentage of energy from added sugars and all-cause mortality was significant in the base model with participants consuming 11·47 % of energy from added sugars having 1·34 (95 % CI 1·01, 1·77) times higher risk of all-cause mortality compared with those consuming 4·17 % of energy from added sugars. Overall, our results did not find statistically significant associations between the three nutrients and risk of all-cause mortality or CVD events at the population level in Canada. Large-scale linked national nutrition datasets may not have the discrimination to identify prospective impacts of nutrients on health measures.

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

Introduction: 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 7.49 years, with 102,953 person-years among males and 114,876 person-years among females (unweighted), and included a special sampling survey weight (for linked data) to account for those who did not agree to share and link their information. The CCHS - Nutrition 2004 linked to CVSD has been used to evaluate associations between lifestyle and sociodemographic characteristics and mortality. Using these data, statistical methods have been developed and tested to control random and systematic measurement errors when evaluating the relationship between different dietary exposures (evaluated using repeated 24-hour dietary recalls) and health outcomes. The linked data are available through Statistics Canada's Research Data Centres.

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). Using 39 food groups, PLS and RRR were applied for identification of an energy-dense (ED), high-saturated-fat (HSF), and low-fiber-density (LFD) dietary pattern. Associations of the derived dietary pattern scores with lifestyle characteristics and CVD risk were examined using weighted multivariate regression and weighted multivariable-adjusted Cox proportional hazard models, respectively. RESULTS: PLS and RRR identified highly similar ED, HSF, and LFD dietary patterns with common high positive loadings for fast food, carbonated drinks, salty snacks, and solid fats, and high negative loadings for fruit, dark green vegetables, red and orange vegetables, other vegetables, whole grains, and legumes and soy (≥|0.17|). Food groups with the highest loadings were summed to form simplified pattern scores. Although the dietary patterns were not significantly associated with CVD risk, they were positively associated with 402-kcal/d higher energy intake (P-trends < 0.05) and higher obesity risk (PLS: OR: 2.09; 95% CI: 1.62, 2.70; RRR: OR: 1.76; 95% CI: 1.44, 2.17) (P-trends < 0.0001) in the fourth quartiles. CONCLUSIONS: PLS and RRR were shown to be equally effective for the derivation of a high-CVD-risk dietary pattern among Canadian adults. Further research is warranted on the role of major dietary components in cardiovascular health.

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 Canada's Food Guide (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. RESULTS: By volume, the Canadian population diet included: 29% Vegetables and Fruits, 22% Protein Foods, 7% Whole Grains, 24% Non-Whole Grain Foods, and 18% Other Foods. Intakes of Protein Foods (1-6 years) and Other Foods (7-12; 13-17 years) were higher in children than adults by volume, relative to total intake. Whole Grains intake was highest at breakfast. Other Foods intake was highest at snack. CONCLUSIONS: The volume-based population diet of Canadians reported on a single day includes a substantial proportion of non-recommended foods. There are opportunities to design interventions that target specific foods, ages, and meals to align intake with recommendations.

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). Plant-based diet quality was assessed with a revised Plant-based Dietary Index (PDI), EAT-Lancet Reference Diet (ERD) score, and the latest Dietary Guidelines for Americans Adherence Index (DGAI) 2020. Weighted multivariate analyses were used for testing associations between diet quality and lifestyle characteristics, and weighted multivariable-adjusted Cox proportional hazards models for associations with CVD risk. RESULTS: Construct validity was confirmed for the revised PDI and DGAI 2020 (but not the ERD) because participants in the highest (healthiest) quartile, compared to those in the lowest (least healthy), were more likely to be female (mean ± SE: 52.63% ± 1.27% compared with 44.80% ± 1.65% for revised PDI; 59.37% ± 2.01% compared with 40.84% ± 1.71% for DGAI 2020), older (mean ± SE: 50.55 ± 0.39 y compared with 45.56 ± 0.43 y for revised PDI; 51.57 ± 0.39 y compared with 46.35 ± 0.54 y for DGAI 2020), to have postsecondary education (mean ± SE: 32.36% ± 1.55% compared with 21.12% ± 1.31% for revised PDI; 34.17% ± 2.69% compared with 17.87% ± 0.98% for DGAI 2020), and less likely to be daily smokers (mean ± SE: 8.21% ± 1.0% compared with 17.06% ± 1.45% for revised PDI; 7.36% ± 1.71% compared with 21.53% ± 1.58% for DGAI 2020) (P-trend < 0.0001). No significant associations were observed between dietary index scores and CVD risk. CONCLUSIONS: The revised PDI and DGAI 2020 provided valid and meaningful measures of plant-based eating among Canadians, whereas the validity of the ERD was not directly confirmed. Adherence to the plant-based dietary patterns was not associated with CVD risk. Future large-scale studies are necessary to further evaluate the role of plant-based eating in CVD prevention.

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. Consistent variable definitions were used to estimate country-specific mortality hazard ratios with sex-specific Cox proportional hazard models, including smoking, alcohol, diet and physical activity, sociodemographic indicators and proximal factors including disease history. RESULTS: A total of 296,407 respondents and 1,813,884 million person-years of follow-up from the CCHS and 58,232 respondents and 497,909 person-years from the NHIS were included. Absolute mortality risk among those with a 'healthy profile' was higher in the United States compared to Canada, especially among women. Adjusted mortality hazard ratios associated with health behaviours were generally of similar magnitude and direction but often stronger in Canada. CONCLUSION: Even when methodological and population differences are minimal, the association of health behaviours and mortality can vary across populations. It is therefore important to be cautious of between-study variation when aggregating relative effect estimates from differing populations, and when using external effect estimates for population health research and policy development.

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. Among consumers on a given day, linear regressions were used to estimate mean energy intake. Models included household education, food security and income quintiles as separate unadjusted exposures. Sex-specific models were estimated separately for children/adolescents (2-18 years) and adults (19 +). RESULTS: Among female children/adolescents, the prevalence of consuming sugary drinks and, separately, SSB ranged from 11 to 21 and 8 to 27 percentage-points higher among lower education compared to 'Bachelor degree or above' households. In female adults, the prevalence of consuming sugary drinks and, separately, SSB was 10 (95% CI: 1, 19) and 14 (95% CI: 2, 27) percentage-points higher in food insecure compared to secure households. In males, the prevalence of consuming 100% juice was 9 (95% CI: - 18, 0) percentage-points lower among food insecure compared to secure households. Social inequities in energy intake were observed in female adult consumers, among whom mean energy from sugary drinks was 27 kcal (95% CI: 3, 51) higher among food insecure compared to secure and 35 kcal (95% CI: 2, 67) higher from 100% juice among 'less than high school' education compared to 'Bachelor degree or above' households. CONCLUSION: Social inequities in sugary drink consumption exist in Canada. The associations differed by SEP indicator. Equitable interventions to reduce consumption are warranted.

RéSUMé: OBJECTIF: Dresser le portrait de la consommation de boissons sucrées (boissons contenant des sucres libres), de boissons contenant du sucre ajouté et de jus purs à 100 % (boissons contenant des sucres naturels) chez la population canadienne en fonction du statut socioéconomique. MéTHODE: Nous avons effectué une analyse transversale des rappels alimentaires de 24 heures réalisés par 19 742 personnes dans le cadre de l'Enquête sur la santé dans les collectivités canadiennes ­ Nutrition 2015, laquelle est représentative de la population nationale. Nous avons utilisé la régression de Poisson pour estimer la prévalence de la consommation de chaque type de boisson durant un jour donné. Pour calculer l'apport énergétique quotidien moyen, nous avons utilisé des régressions linéaires. Les modèles d'analyse traitent la scolarité, la sécurité alimentaire et les quintiles de revenu des ménages comme des expositions non ajustées distinctes. L'analyse en fonction du sexe est divisée en deux groupes, soit les enfants et adolescents (2 à 18 ans) et les adultes (19 ans et plus). RéSULTATS: Chez les filles et les adolescentes, la prévalence de la consommation de boissons sucrées et de boissons contenant du sucre ajouté est plus élevée (de 11 à 21 points de pourcentage et de 8 à 27 points de pourcentage, respectivement) dans les ménages moins scolarisés que dans les ménages plus scolarisés (baccalauréat et études supérieures). Chez les femmes vivant de l'insécurité alimentaire, la prévalence de la consommation de boissons sucrées et de boissons contenant du sucre ajouté est plus élevée de 10 points de pourcentage (IC de 95 % : 1, 19) et de 14 points de pourcentage (IC de 95 % : 2, 27), respectivement, que chez celles qui n'en vivent pas. Chez les sujets masculins, la prévalence de consommation des jus purs à 100 % est moins élevée de 9 points de pourcentage (IC de 95 % : -18, 0) dans les ménages vivant de l'insécurité alimentaire. Nous avons remarqué des disparités sur le plan social dans l'apport énergétique chez les femmes; l'apport moyen provenant de boissons sucrées est plus élevé de 27 kcal (IC de 95% : 3, 51) dans les ménages vivant de l'insécurité alimentaire, et l'apport moyen provenant de jus pur à 100 % est plus élevé de 35 kcal (IC de 95 % : 2, 67) dans les ménages moins scolarisés (pas de diplôme d'études secondaires) que chez les ménages plus scolarisés (baccalauréat et études supérieures). CONCLUSION: Il existe des disparités sur le plan social dans la consommation de boissons sucrées au Canada. Les résultats variaient en fonction de l'indicateur de statut économique. Nous recommandons des interventions équitables pour réduire la consommation de ces boissons.

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

The release of Canada's Food Guide (CFG) in 2019 by Health Canada prompted the development of indices to measure adherence to these updated dietary recommendations for Canadians. This study describes the development and scoring standards of the Healthy Eating Food Index (HEFI-2019), which is intended to measure alignment of eating patterns with CFG-2019 recommendations on food choices among Canadians aged 2 years and older. Alignment with the intent of each key recommendation in the CFG-2019 was the primary principle guiding the development of the HEFI-2019. Additional considerations included previously published indices, data on Canadians' dietary intakes from the 2015 Canadian Community Health Survey-Nutrition, and expert judgement. The HEFI-2019 includes 10 components: Vegetables and fruits (20 points), Whole-grain foods (5 points), Grain foods ratio (5 points), Protein foods (5 points), Plant-based protein foods (5 points), Beverages (10 points), Fatty acids ratio (5 points), Saturated fats (5 points), Free sugars (10 points), and Sodium (10 points). All components are expressed as ratios (e.g., proportions of total foods, total beverages, or total energy). The HEFI-2019 score has a maximum of 80 points. Potential uses of the HEFI-2019 include research as well as monitoring and surveillance of food choices in population-based surveys. Novelty: The Healthy Eating Food Index-2019 was developed to measure adherence to the 2019 Canada's Food Guide recommendations on healthy food choices. The HEFI-2019 includes 10 components, of which 5 are based on foods, 1 on beverages and 4 on nutrients, for a total of 80 points.

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. Mean scores were compared among subgroups of the population. The association between scores and energy intake was assessed using Pearson correlations. Cronbach's alpha was calculated to assess reliability. The estimated mean HEFI-2019 score (/80) was 43.1 (95% CI, 42.7 to 43.6) among Canadians aged 2 years and older. The first and 99th percentiles were 22.1 and 62.9 points. The mean HEFI-2019 score for smokers was 7.2 points lower than for non-smokers (95% CI, -8.5 to -5.9). The HEFI-2019 was weakly correlated with energy intake (r = -0.13; 95% CI, -0.20 to -0.06). The principal components analysis revealed at least 4 dimensions. Cronbach's alpha was 0.66 (95% CI, 0.63 to 0.69). Evidence of construct validity and internal consistency support the use of the HEFI-2019 to assess adherence to CFG-2019's recommendations on healthy food choices. Novelty: Examination of the HEFI-2019's psychometric properties is needed prior to implementation. Analyses support the construct validity and internal consistency of the HEFI-2019. Interpretation of the total HEFI-2019 score must be accompanied by its components' scores, considering it assesses multiple dimensions of food choices.

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. First, an algorithm based on thresholds of maximal nutrient difference (between Euromonitor and CNF foods) and fuzzy matching was executed to offer match options. If a nutritionally appropriate match was available among the algorithm suggestions, it was selected. When the suggested set contained no nutritionally sound matches, the Euromonitor product was instead manually matched to a CNF food or deemed unmatchable, with the unique addition of expert validation to maximize meticulousness in matching. Both steps were independently performed by at least two team members with dietetics expertise. Results: Of 1,111 Euromonitor products run through the algorithm, an accurate CNF match was offered for 65% of them; missing or zero-calorie data precluded 68 products from being run in the algorithm. Products with 2 or more algorithm-suggested CNF matches had higher match accuracy than those with one (71 vs. 50%, respectively). Overall, inter-rater agreement (reliability) rates were robust for matches chosen among algorithm options (51%) and even higher regarding whether manual selection would be required (71%); among manually selected CNF matches, reliability was 33%. Ultimately, 1,152 (98%) Euromonitor products were matched to a CNF equivalent. Conclusion: Our reported matching process successfully bridged a food sales database's products to their respective CNF matches for use in future nutritional epidemiological studies of branded foods sold in Canada. Our team's novel utilization of dietetics expertise aided in match validation at both steps, ensuring rigor and quality of resulting match selections.

Using partial least squares to identify a dietary pattern associated with obesity in a nationally-representative sample of Canadian adults: Results from the Canadian Community Health Survey-Nutrition 2015.

BACKGROUND: Hybrid methods of dietary patterns analysis have emerged as a unique and informative way to study diet-disease relationships in nutritional epidemiology research. OBJECTIVE: To identify an obesogenic dietary pattern using weighted partial least squares (wPLS) in nationally representative Canadian survey data, and to identify key foods and/or beverages associated with the defined dietary pattern. DESIGN: Data from one 24-hr dietary recall data from the cross-sectional Canadian Community Health Survey-Nutrition (CCHS) 2015 (n = 12,049) were used. wPLS was used to identify an obesogenic dietary pattern from 40 standardized food and beverage categories using the variables energy density, fibre density, and total fat as outcomes. The association between the derived dietary pattern and likelihood of obesity was examined using weighted multivariate logistic regression. Key dietary components highly associated with the derived pattern were identified. RESULTS: Compared to quartile one (i.e. those least adherent to an obesogenic dietary pattern), those in quartile four had 2.40-fold increased odds of being obese (OR = 2.40, 95% CI = 1.91, 3.02, P-trend< 0.0001) with a monotonically increasing trend. Using a factor loading significance cut-off of ≥|0.17|, three food/beverage categories loaded positively for the derived obesogenic dietary pattern: fast food (+0.32), carbonated drinks (including energy drinks, sports drinks and vitamin water) (+0.30), and salty snacks (+0.19). Seven categories loaded negatively (i.e. in the protective direction): whole fruits (-0.40), orange vegetables (-0.32), "other" vegetables (-0.32), whole grains (-0.26), dark green vegetables (-0.22), legumes and soy (-0.18) and pasta and rice (-0.17). CONCLUSION: This is the first study to apply weighted partial least squares to CCHS 2015 data to derive a dietary pattern associated with obesity. The results from this study pinpoint key dietary components that are associated with obesity and consumed among a nationally representative sample of Canadians adults.

Development and validation of a predictive algorithm for risk of dementia in the community setting.

BACKGROUND: Most dementia algorithms are unsuitable for population-level assessment and planning as they are designed for use in the clinical setting. A predictive risk algorithm to estimate 5-year dementia risk in the community setting was developed. METHODS: The Dementia Population Risk Tool (DemPoRT) was derived using Ontario respondents to the Canadian Community Health Survey (survey years 2001 to 2012). Five-year incidence of physician-diagnosed dementia was ascertained by individual linkage to administrative healthcare databases and using a validated case ascertainment definition with follow-up to March 2017. Sex-specific proportional hazards regression models considering competing risk of death were developed using self-reported risk factors including information on socio-demographic characteristics, general and chronic health conditions, health behaviours and physical function. RESULTS: Among 75 460 respondents included in the combined derivation and validation cohorts, there were 8448 cases of incident dementia in 348 677 person-years of follow-up (5-year cumulative incidence, men: 0.044, 95% CI: 0.042 to 0.047; women: 0.057, 95% CI: 0.055 to 0.060). The final full models each include 90 df (65 main effects and 25 interactions) and 28 predictors (8 continuous). The DemPoRT algorithm is discriminating (C-statistic in validation data: men 0.83 (95% CI: 0.81 to 0.85); women 0.83 (95% CI: 0.81 to 0.85)) and well-calibrated in a wide range of subgroups including behavioural risk exposure categories, socio-demographic groups and by diabetes and hypertension status. CONCLUSIONS: This algorithm will support the development and evaluation of population-level dementia prevention strategies, support decision-making for population health and can be used by individuals or their clinicians for individual risk assessment.