Cost of a Healthy Diet: A Population-Representative Comparison of 3 Diet Cost Methods in Canada.

Autor:	Luongo G; School of Health Administration, Faculty of Health, Dalhousie University, Halifax, Canada. Electronic address: g.luongo@dal.ca., Tarasuk V; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada., Cahill LE; Department of Medicine, Faculty of Medicine, Dalhousie University, Halifax, Canada., Hajizadeh M; School of Health Administration, Faculty of Health, Dalhousie University, Halifax, Canada., Yi Y; Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada., Mah CL; School of Health Administration, Faculty of Health, Dalhousie University, Halifax, Canada.
Jazyk:	angličtina
Zdroj:	The Journal of nutrition [J Nutr] 2024 Sep 11. Date of Electronic Publication: 2024 Sep 11.
DOI:	10.1016/j.tjnut.2024.09.002
Abstrakt:	Background: Different food price sources and dietary assessment tools may impact the estimation of diet costs and hamper our understanding of the relationship between diet costs and dietary intakes. Objectives: We aimed to investigate the effect of 3 diet cost derivation methods, with increasing numbers of food prices and geographic specificity, holding consistent dietary assessment, on the estimation of diet costs overall and by food group. Methods: We matched 24-h dietary recall data from the 2015 Canadian Community Health Survey-Nutrition (CCHS-N) to food price data from 3 Canadian Consumer Price Index (CPI) food price lists; national short list, national long list, and provincial long list. We compared the daily ($/day) and energy-adjusted ($/2000 kcal) diet costs overall and by food groups for the overall population (4+), children (4-18), and adults (19+). Results: The proportion of dietary intakes (grams) that were covered by CPI prices significantly increased from the national short list to the national long list but did not significantly differ from the national long list to the provincial long list. The national short list resulted in the highest daily and energy-adjusted diet costs overall. No difference in diet costs was noted between the national and provincial long lists. Diet costs for 4 food groups-additions, sweets, fruits, and vegetables, which were poorly covered by the national short list-significantly differed using the national and provincial long lists. All 3 diet cost methods were significantly correlated with energy intakes; however, a strong/very strong correlation was detected for children, and a weak/moderate correlation for adults. Conclusions: The choice of food price data may introduce bias in the diet cost estimate, as well as limiting our understanding of how individuals allocate their diet costs. Refinement of diet cost estimation methodology and measures can strengthen future studies of how consumers allocate their purchases to their diets. Competing Interests: Conflict of interest The authors report no conflicts of interest. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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