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Socio-demographic Correlates of Ultra-processed Food Consumption in Canada

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Date 2024 Sep 26
PMID 39324345
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Abstract

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

Design: Cross-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.

Setting: The ten Canadian provinces.

Participants: Canadians aged 2 or older ( 20 103).

Results: UPF 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 %) . those in moderately (48·1 %) or severely food-insecure households (50·8 %). More modest differences were observed for intake of total UPF and UPF subgroups by sex, education, income adequacy and region of residence.

Conclusion: Levels 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.

References
1.
Monteiro C, Cannon G, Levy R, Moubarac J, Louzada M, Rauber F . Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2019; 22(5):936-941. PMC: 10260459. DOI: 10.1017/S1368980018003762. View

2.
Potvin Kent M, Hatoum F, Wu D, Remedios L, Bagnato M . Benchmarking unhealthy food marketing to children and adolescents in Canada: a scoping review. Health Promot Chronic Dis Prev Can. 2022; 42(8):307-318. PMC: 9514213. DOI: 10.24095/hpcdp.42.8.01. View

3.
Gupta S, Hawk T, Aggarwal A, Drewnowski A . Characterizing Ultra-Processed Foods by Energy Density, Nutrient Density, and Cost. Front Nutr. 2019; 6:70. PMC: 6558394. DOI: 10.3389/fnut.2019.00070. View

4.
Gundersen C, Ziliak J . Food Insecurity And Health Outcomes. Health Aff (Millwood). 2015; 34(11):1830-9. DOI: 10.1377/hlthaff.2015.0645. View

5.
Olstad D, Nejatinamini S, Victorino C, Kirkpatrick S, Minaker L, McLaren L . Socioeconomic inequities in diet quality among a nationally representative sample of adults living in Canada: an analysis of trends between 2004 and 2015. Am J Clin Nutr. 2021; 114(5):1814-1829. PMC: 8574630. DOI: 10.1093/ajcn/nqab249. View