Priscila Pereira Machado1, Rafael Moreira Claro2, Daniela Silva Canella3, Flávia Mori Sarti4, Renata Bertazzi Levy5. 1. Faculdade de Saúde Pública da Universidade de São Paulo, Av. Dr. Arnaldo 715, 2° andar, São Paulo, São Paulo 01246-904, Brazil; Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde (NUPENS/USP), Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP 01246-904, Brazil. Electronic address: priscilamachado@usp.br. 2. Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde (NUPENS/USP), Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP 01246-904, Brazil; Escola de Enfermagem, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, MG 3013100, Brazil. 3. Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde (NUPENS/USP), Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP 01246-904, Brazil; Instituto de Nutrição, Universidade do Estado do Rio de Janeiro, Av. Carlos Chagas Filho, 373, Rio de Janeiro, RJ 21941902, Brazil. 4. Faculdade de Saúde Pública da Universidade de São Paulo, Av. Dr. Arnaldo 715, 2° andar, São Paulo, São Paulo 01246-904, Brazil. 5. Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde (NUPENS/USP), Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP 01246-904, Brazil; Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Arnaldo, 455, São Paulo, SP 01246903, Brazil.
Abstract
OBJECTIVE: To evaluate the influence of convenience and price of ultra-processed foods and beverages on purchases at supermarkets. METHODS: The study used data on food and beverage acquisition for household consumption from the Brazilian Household Budget Survey, performed in a random sample of 55,970 households between 2008 and 2009. Foods and beverages were categorized into four groups, according to characteristics of food processing. Retail stores were grouped into supermarkets and other food stores. Proportion of calories from foods and beverages purchased at supermarkets and other food stores, and respective mean prices (R$/1000 kcal), were calculated according to households' geographical and socioeconomic characteristics. Effect of convenience in household purchases at retail stores was expressed by the acquisition of several food items at the same store. The influence of convenience and prices of ultra-processed products on purchases at supermarkets was analyzed using log-log regression model with estimation of elasticity coefficients. RESULTS: The mean prices of foods and beverages purchased at supermarkets were 37% lower in comparison to other food stores. The share of ultra-processed foods and beverages in purchases made at supermarkets was 25% higher than at other food stores. An increase of 1% in prices of ultra-processed food items led to a 0.59% reduction in calorie acquisition at supermarkets (R2 = 0.75; p < 0.001). On the other hand, an increase of 1% in the number of food items purchased at supermarkets resulted in 1.83% increase in calorie acquisition of ultra-processed foods and beverages (p < 0.001). CONCLUSION: Convenience and lower relative prices of food items purchased at supermarkets, in comparison to other food stores, are relevant to explain higher share of purchases of ultra-processed foods and beverages at supermarkets.
OBJECTIVE: To evaluate the influence of convenience and price of ultra-processed foods and beverages on purchases at supermarkets. METHODS: The study used data on food and beverage acquisition for household consumption from the Brazilian Household Budget Survey, performed in a random sample of 55,970 households between 2008 and 2009. Foods and beverages were categorized into four groups, according to characteristics of food processing. Retail stores were grouped into supermarkets and other food stores. Proportion of calories from foods and beverages purchased at supermarkets and other food stores, and respective mean prices (R$/1000 kcal), were calculated according to households' geographical and socioeconomic characteristics. Effect of convenience in household purchases at retail stores was expressed by the acquisition of several food items at the same store. The influence of convenience and prices of ultra-processed products on purchases at supermarkets was analyzed using log-log regression model with estimation of elasticity coefficients. RESULTS: The mean prices of foods and beverages purchased at supermarkets were 37% lower in comparison to other food stores. The share of ultra-processed foods and beverages in purchases made at supermarkets was 25% higher than at other food stores. An increase of 1% in prices of ultra-processed food items led to a 0.59% reduction in calorie acquisition at supermarkets (R2 = 0.75; p < 0.001). On the other hand, an increase of 1% in the number of food items purchased at supermarkets resulted in 1.83% increase in calorie acquisition of ultra-processed foods and beverages (p < 0.001). CONCLUSION: Convenience and lower relative prices of food items purchased at supermarkets, in comparison to other food stores, are relevant to explain higher share of purchases of ultra-processed foods and beverages at supermarkets.
Authors: Ana Clara Duran; Camila Zancheta Ricardo; Laís Amaral Mais; Ana Paula Bortoletto Martins; Lindsey Smith Taillie Journal: Nutrients Date: 2019-12-05 Impact factor: 5.717
Authors: Camila Aparecida Borges; Kamila Tiemann Gabe; Patricia Constante Jaime Journal: Int J Environ Res Public Health Date: 2021-04-01 Impact factor: 3.390
Authors: Sinisa Berjan; Željko Vaško; Tarek Ben Hassen; Hamid El Bilali; Mohammad S Allahyari; Vedran Tomić; Adriana Radosavac Journal: Environ Sci Pollut Res Int Date: 2021-09-16 Impact factor: 4.223
Authors: Susannah Westbury; Iman Ghosh; Helen Margaret Jones; Daniel Mensah; Folake Samuel; Ana Irache; Nida Azhar; Lena Al-Khudairy; Romaina Iqbal; Oyinlola Oyebode Journal: BMJ Glob Health Date: 2021-10
Authors: James Buszkiewicz; Cathy House; Anju Aggarwal; Mark Long; Adam Drewnowski; Jennifer J Otten Journal: Int J Environ Res Public Health Date: 2019-01-01 Impact factor: 3.390
Authors: Camila Zancheta Ricardo; Isabela Mateus Peroseni; Laís Amaral Mais; Ana Paula Bortoletto Martins; Ana Clara Duran Journal: Nutrients Date: 2019-09-06 Impact factor: 5.717