Evidence map›Paper›PMID 39324345›Full record

ArticlePublic health nutrition2024

Socio-demographic correlates of ultra-processed food consumption in Canada.

Jane Y Polsky, Sara Jovovic, Milena Nardocci, Jean-Claude Moubarac

Abstract read
In one paragraph

Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Generational Influence on Diet Quality: An Analysis Based on Vigitel 2023.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jane Y PolskyHealth Analysis Division, Statistics Canada, Ottawa, ON, Canada.
Sara JovovicTRANSNUT (WHO Collaborating Centre on Nutrition Changes and Development), Département de Nutrition, Faculté de Médecine, Université de Montréal, Montréal, QCH3C 3J7, Canada.
Milena NardocciTRANSNUT (WHO Collaborating Centre on Nutrition Changes and Development), Département de Nutrition, Faculté de Médecine, Université de Montréal, Montréal, QCH3C 3J7, Canada.
Jean-Claude MoubaracTRANSNUT (WHO Collaborating Centre on Nutrition Changes and Development), Département de Nutrition, Faculté de Médecine, Université de Montréal, Montréal, QCH3C 3J7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterise consumption of ultra-processed foods and drinks (UPF) across a range of socio-demographic characteristics of Canadians.

designCross-sectional study. The national-level 2015 Canadian Community Health Survey-Nutrition provided data on all foods and drinks consumed on the previous day via a 24-hour dietary recall. All food items were classified according to the type of industrial processing using the NOVA system. Multivariable linear regression models examined associations between a range of socio-demographic characteristics and the mean energy contribution (% of total daily energy intake) from total UPF and UPF subgroups.

settingThe ten Canadian provinces.

participantsCanadians aged 2 or older (

resultsUPF contributed, on average, nearly half (44·9 %) of total daily energy intake of Canadians. Children aged 6-12 and adolescents aged 13-18 consumed over half of total daily energy from UPF (adjusted means of 51·9 % and 50·7 %, respectively). Recent and long-term immigrants consumed a significantly lower share of energy from UPF (adjusted means of 42·2 % and 45·1 %, respectively) compared with non-immigrants (54·4 %), as did the food secure (42·8 %)

conclusionLevels of UPF consumption in 2015 in Canada were pervasive in all socio-demographic groups and highest among children and adolescents, non-immigrants and those living in food-insecure households. These findings can inform public health interventions to reduce UPF consumption and promote healthier diets in various socio-demographic groups.

Indexed as

Fast FoodsSocioeconomic FactorsAdolescentAdultAgedCanadaChildChild, PreschoolCross-Sectional StudiesDietEnergy IntakeFemaleFood HandlingFood, ProcessedHumansMaleCanadaNOVANutrition surveySocio-demographicUltra-processed foodsUltra-processing

Identifiers

PMID39324345
PMCPMC11504217

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.