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J Nutr Educ Behav ; 50(6): 573-581, 2018 06.
Article in English | MEDLINE | ID: mdl-29496398

ABSTRACT

OBJECTIVE: Assess the consumer nutrition environment in midsize to large supermarkets by supermarket type and area-level socioeconomic variables. DESIGN: Cross-sectional census of 257 supermarkets using the Toronto Nutrition Environment Measures Survey in Stores. SETTING: Toronto, Canada. VARIABLES MEASURED: Availability; price and linear shelf space of fruits and vegetables vs energy-dense snack foods by supermarket type; after-tax, low-income measure; and neighborhood improvement area. ANALYSIS: Multivariate linear regression. RESULTS: There was a high availability of fruits (7.7 of 8) and vegetables (9.5 of 11). There was similar linear shelf space for fruits and vegetables vs energy-dense snack foods (ratio, 1.1 m). Adjusted fruit prices were lowest in quintiles 1 (ß = -$1.30; P = .008), 2 (ß = -$1.41; P = .005), and 3 (ß = -$1.89; P < .001) vs quintile 5 (lowest percentage of people living with low income) and in ethnic (ß = -$3.47; P < .001) and discount stores (ß = -$5.64; P < .001) vs conventional. Adjusted vegetable prices were lowest in quintiles 2 (ß = -$1.87; P = .04), 3 (ß = -$1.78; P = .03), and 4 (ß = -$2.65; P = .001) vs quintile 5 and in ethnic (ß = -$7.10; P < .001) and discount (ß = -$5.49; P < .001) stores. They were highest in other (ß = + $3.08; P = .003) vs conventional stores. Adjusted soda and chips prices were lower in discount (ß = -$1.16; P < .001) and higher in other stores (ß = + $0.67; P < .001) vs conventional. CONCLUSIONS AND IMPLICATIONS: Findings do not indicate inequities in shelf space, availability, or price across diverse neighborhoods. Practitioners can use findings to help consumers navigate supermarkets to make healthy choices.


Subject(s)
Food Supply , Food/statistics & numerical data , Residence Characteristics , Censuses , Commerce/statistics & numerical data , Cross-Sectional Studies , Food Supply/statistics & numerical data , Humans , Linear Models , Ontario , Residence Characteristics/statistics & numerical data , Socioeconomic Factors
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