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Record W6959147348 · doi:10.7939/r3-c5c4-8z92

We are not all the same: Differentials in Diet Quality and Food Consumption across Canadian Immigrant and Domestic Resident Population

2023· dissertation· en· W6959147348 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2023
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationResidenceOddsEthnic groupLogistic regressionPopulationModerationOdds ratio

Abstract

fetched live from OpenAlex

Background: The association between diet and immigration is multidimensional; in addition, it varies considerably, depending on the nutrient or food component in question and more importantly, the ethnicities of immigrants to Canada. Current literature identifies dietary patterns in the general Canadian population, yet little is known about dietary heterogeneity among the adult immigrant population. Since the burden of chronic, non-communicable diseases (NCDs) falls disproportionately on immigrants and ethnic minorities, examining the dietary patterns of these populations may offer a framework for health promotion among Canada’s most vulnerable groups. Purpose: This research investigated the association of immigration status and length of residence in Canada with dietary patterns among Canadian adults. Methods: Data from the 2015 Canadian Community Health Survey (CCHS) Nutrition was used. A Canadian adaptation of Healthy Eating Index (C-HEI) 2015 based on the 2007 Canada’s Food Guide (CFG) was used as an indicator of diet quality and adherence to dietary recommendations. Descriptive analyses examined C-HEI mean scores for demographic characteristics by immigration status and length of residence. The association of immigration status and length of residence in Canada with dietary patterns were examined using logistic regression models. The odds of good diet quality and odds of adherence to recommended guidelines for adequacy components (vegetables and fruit, whole fruit, greens and beans, whole grains, dairy, total protein foods, seafood and plant proteins, and fatty acids) and moderation components (refined grains, sodium, added sugars, and saturated fats) were generated from the models, adjusted for covariates of interest in the study. Results: For the population aged 20 to 79, the average C-HEI 2015 score was 62.99 out of a possible 100 points. We observed heterogeneity in diet quality and food consumption across immigrants and domestic residents of Canada. Immigrants had significantly higher C-HEI scores compared with Canadian-born (65.06[0.25], 62.19[0.12]; p<0.001) and more favourable intakes for many of the score components. Immigrants showed a greater likelihood of achieving a good diet and adherence to recommendations for vegetables and fruit, whole fruit, whole grains, seafood and plant proteins, dairy products, refined grains, sodium, added sugars, and saturated fats. Even so, consumption of greens and beans was low in the immigrant diet. Among immigrant groups, our results suggest that ethnic visible minorities, namely Black, East/Southeast Asian, West Asian/Arab, South Asian, Latin American, and Other have a nutritional health advantage over not only White but their Canadian-born counterparts. Among domestic residents, however, White had a health advantage over most Canadian-born visible minorities. Length of residence strongly affected dietary habits, with both negative and positive effects observed. The main trend after a longer stay in Canada was a substantial increase in the likelihood of fulfilling recommendations for greens and beans, seafood and plant proteins, refined grains and added sugars. On the other hand, we observed a decrease in consumption of dairy, total protein foods, and fatty acids as well as an increasing trend in consumption of saturated fats after a longer stay in Canada. For immigrant men, we observed an acculturation-driven trend in their consumption of vegetables and fruit and refined grains. For immigrant women, our findings suggested an acculturation-driven trend in their consumption of seafood and plant protein, refined grains, and added sugars. Our results also showed that immigrant women are more likely to be rewarded with a good overall diet quality as the length of residence increases. Irrespective of the length of residence, Black, East/Southeast Asian, West Asian/Arab, South Asian, and those identified as Other were more likely to have a good diet quality compared with White immigrant. Conclusions: The findings of this study postulate heterogeneous nutritional health advantages among Canada's population, as well as an overall “healthy immigrant effect” that is maintained through dietary habits with length of residence in Canada. The results challenge research that portrays immigrants as one broad category when investigating the “healthy immigrant effect” in relation to dietary acculturation. This approach not only undermines the heterogeneity in dietary patterns but also underscores immigrants’ abilities to maintain healthy eating patterns, especially among adult immigrants, with a longer residence in Canada. Results further justify a need for tailoring educational interventions to specific ethnic and racial groups, and adaptation to CFG that is more inclusive.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.271
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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