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Monitoring Food Affordability: Reliability and Validity of an Online Nutritious Food Basket.
Boyar, Liza; Lakhani, Ellis; Ho, Ivan; King, Bridget; Kennedy, Lauren; Ellen Prange, Mary; Harrington, Daniel; Prowse, Rachel.
Affiliation
  • Boyar L.; School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON.
  • Lakhani E.; Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL.
  • Ho I.; Thunder Bay District Health Unit, Thunder Bay, ON.
  • King B.; Public Health Sudbury & Districts, Sudbury, ON.
  • Kennedy L.; Peterborough Public Health, Peterborough, ON.
  • Ellen Prange M.; City of Hamilton Public Health Services, Hamilton, ON.
  • Harrington D.; Public Health Ontario, Toronto, ON.
  • Prowse R.; Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL.
Can J Diet Pract Res ; 85(2): 59-65, 2024 Jun 01.
Article in En | MEDLINE | ID: mdl-38465628
ABSTRACT

Purpose:

This study aimed to assess the reliability and validity of an online approach to monitoring food affordability in Ontario using the updated Ontario Nutritious Food Basket (ONFB).

Methods:

The ONFB was priced online in 12 large multi-chain grocery stores to test intra-/inter-rater reliability using percent agreement and intra-class correlations (ICCs). Then, the ONFB was priced in-store and online in 28 stores to estimate food price differences using paired t-tests and Pearson's correlation for all (n =1708) and matched items (same product/brand and purchase unit) (n = 1134).

Results:

Intra-/inter-rater agreement was high (95.4%/81.6%; ICC = 0.972, F = 69.9, p < 0.001). On average, in-store prices were less than $0.02 lower than online prices. There were no significant differences between mean in-store and online prices for all items (t = 0.504 p = 0.614). The mean price was almost perfectly correlated between in-store and online (fully matched R = 0.993 p < 0.001; all items R = 0.967 p < 0.001). Online monthly ONFB estimates for a family of four were strongly correlated (R = 0.937 p < 0.001) with estimates calculated using in-store data.

Conclusions:

Online pricing is a reliable and valid approach to food costing in Ontario that contributes to modernizing the monitoring of food affordability in Canada and abroad.
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Full text: 1 Database: MEDLINE Main subject: Commerce / Internet Limits: Humans Country/Region as subject: America do norte Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Commerce / Internet Limits: Humans Country/Region as subject: America do norte Language: En Year: 2024 Type: Article