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Vaillancourt C, Ahmed M, Kirk S, Labonté MÈ, Laar A, Mah CL, Minaker L, Olstad DL, Potvin Kent M, Provencher V, Prowse R, Raine KD, Schram A, Zavala-Mora D, Rancourt-Bouchard M, Vanderlee L. Food environment research in Canada: a rapid review of methodologies and measures deployed between 2010 and 2021. Int J Behav Nutr Phys Act 2024; 21:18. [PMID: 38373957 PMCID: PMC10875887 DOI: 10.1186/s12966-024-01558-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 01/03/2024] [Indexed: 02/21/2024] Open
Abstract
Numerous research methodologies have been used to examine food environments. Existing reviews synthesizing food environment measures have examined a limited number of domains or settings and none have specifically targeted Canada. This rapid review aimed to 1) map research methodologies and measures that have been used to assess food environments; 2) examine what food environment dimensions and equity related-factors have been assessed; and 3) identify research gaps and priorities to guide future research. A systematic search of primary articles evaluating the Canadian food environment in a real-world setting was conducted. Publications in English or French published in peer-reviewed journals between January 1 2010 and June 17 2021 and indexed in Web of Science, CAB Abstracts and Ovid MEDLINE were considered. The search strategy adapted an internationally-adopted food environment monitoring framework covering 7 domains (Food Marketing; Labelling; Prices; Provision; Composition; Retail; and Trade and Investment). The final sample included 220 articles. Overall, Trade and Investment (1%, n = 2), Labelling (7%, n = 15) and, to a lesser extent, Prices (14%, n = 30) were the least studied domains in Canada. Among Provision articles, healthcare (2%, n = 1) settings were underrepresented compared to school (67%, n = 28) and recreation and sport (24%, n = 10) settings, as was the food service industry (14%, n = 6) compared to grocery stores (86%, n = 36) in the Composition domain. The study identified a vast selection of measures employed in Canada overall and within single domains. Equity-related factors were only examined in half of articles (n = 108), mostly related to Retail (n = 81). A number of gaps remain that prevent a holistic and systems-level analysis of food environments in Canada. As Canada continues to implement policies to improve the quality of food environments in order to improve dietary patterns, targeted research to address identified gaps and harmonize methods across studies will help evaluate policy impact over time.
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Affiliation(s)
- Caroline Vaillancourt
- École de Nutrition, Centre de Nutrition, Santé et Société (NUTRISS), Université Laval, 2425 Rue de L'Agriculture, Québec, QC, G1V 0A6, Canada
| | - Mavra Ahmed
- Department of Nutritional Sciences, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Sara Kirk
- School of Health and Human Performance, Dalhousie University, 6230 South Street, Kjipuktuk (Halifax), NS, B3H 4R2, Canada
| | - Marie-Ève Labonté
- École de Nutrition, Centre de Nutrition, Santé et Société (NUTRISS), Université Laval, 2425 Rue de L'Agriculture, Québec, QC, G1V 0A6, Canada
| | - Amos Laar
- Department of Population, Family and Reproductive Health, School of Public Health, University of Ghana, P. O. Box LG 13, Legon, Accra, Ghana
| | - Catherine L Mah
- School of Health Administration, Dalhousie University, 5850 College Street, Halifax, NS, B3H 4R2, Canada
| | - Leia Minaker
- School of Planning, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3T1, Canada
| | - Dana Lee Olstad
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Monique Potvin Kent
- School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, ON, K1G 5Z3, Canada
| | - Véronique Provencher
- École de Nutrition, Centre de Nutrition, Santé et Société (NUTRISS), Université Laval, 2425 Rue de L'Agriculture, Québec, QC, G1V 0A6, Canada
| | - Rachel Prowse
- Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, 300 Prince Philip Drive, St. John's, NL, A1B 3V6, Canada
| | - Kim D Raine
- School of Public Health, University of Alberta, 11405 87 Ave Northwest, Edmonton, AB, T6G 1C9, Canada
| | - Ashley Schram
- School of Regulation and Global Governance (RegNet), ANU College of Asia & the Pacific, The Australian National University, 8 Fellows Road, Canberra, Australian Capital Territory, 2600, Australia
| | - Daniela Zavala-Mora
- Science Library, Université Laval, 1045 Avenue de La Médecine, Québec, QC, G1V 0A6, Canada
| | - Maryka Rancourt-Bouchard
- École de Nutrition, Centre de Nutrition, Santé et Société (NUTRISS), Université Laval, 2425 Rue de L'Agriculture, Québec, QC, G1V 0A6, Canada
| | - Lana Vanderlee
- École de Nutrition, Centre de Nutrition, Santé et Société (NUTRISS), Université Laval, 2425 Rue de L'Agriculture, Québec, QC, G1V 0A6, Canada.
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Huang Y, Burgoine T, Bishop TRP, Adams J. Assessing the healthiness of menus of all out-of-home food outlets and its socioeconomic patterns in Great Britain. Health Place 2024; 85:103146. [PMID: 38056051 DOI: 10.1016/j.healthplace.2023.103146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 12/08/2023]
Abstract
Food environment research predominantly focuses on the spatial distribution of out-of-home food outlets. However, the healthiness of food choices available within these outlets has been understudied, largely due to resource constraints. In this study, we propose an innovative, low-resource approach to characterise the healthiness of out-of-home food outlets at scale. Menu healthiness scores were calculated for food outlets on JustEat, and a deep learning model was trained to predict these scores for all physical out-of-home outlets in Great Britain, based on outlet names. Our findings highlight the "double burden" of the unhealthy food environment in deprived areas where there tend to be more out-of-home food outlets, and these outlets tend to be less healthy. This methodological advancement provides a nuanced understanding of out-of-home food environments, with potential for automation and broad geographic application.
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Affiliation(s)
- Yuru Huang
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
| | - Thomas Burgoine
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Tom R P Bishop
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Jean Adams
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
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A comparative analysis of the restaurant consumer food environment in Rochester (NY, USA) and London (ON, Canada): assessing children's menus by neighbourhood socio-economic characteristics. Public Health Nutr 2019; 22:1654-1666. [PMID: 30744724 DOI: 10.1017/s1368980018003804] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To assess restaurant children's menus for content and nutritional quality; and to investigate the relationship between the restaurant consumer food environment for children and neighbourhood-level socio-economic characteristics within and between one Canadian city and one US city. DESIGN Cross-sectional observational study. SETTING London, ON, Canada and Rochester, NY, USA.ParticipantsRestaurant children's menus were assessed, scored and compared using the Children's Menu Assessment tool. We quantified neighbourhood accessibility to restaurants by calculating 800 m road-network buffers around the centroid of each city census block and created a new Neighbourhood Restaurant Quality Index for Children (NRQI-C) comprising the sum of restaurant menu scores divided by the total number of restaurants within each area. After weighting by population, we examined associations between NRQI-C and neighbourhood socio-economic characteristics using correlations and multiple regression analyses. RESULTS Nutritional quality of children's menus was greater, on average, in Rochester compared with London. Only one variable remained significant in the regression analyses for both cities: proportion of visible minorities had a positive effect on neighbourhood NRQI-C scores in London, whereas the reverse was true in Rochester. CONCLUSIONS Results suggest the presence of a socio-economic disparity within Rochester, where children in more disadvantaged areas have poorer access to better nutritional quality restaurant choices. In London, results suggest an inverse relationship across the city where children in more disadvantaged areas have better access to better nutritional quality restaurant choices. Given these disparate results, research on restaurant nutritional quality for children requires additional consideration.
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Luan H, Law J, Lysy M. Diving into the consumer nutrition environment: A Bayesian spatial factor analysis of neighborhood restaurant environment. Spat Spatiotemporal Epidemiol 2018; 24:39-51. [PMID: 29413713 DOI: 10.1016/j.sste.2017.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 12/03/2017] [Accepted: 12/09/2017] [Indexed: 10/18/2022]
Abstract
Neighborhood restaurant environment (NRE) plays a vital role in shaping residents' eating behaviors. While NRE 'healthfulness' is a multi-facet concept, most studies evaluate it based only on restaurant type, thus largely ignoring variations of in-restaurant features. In the few studies that do account for such features, healthfulness scores are simply averaged over accessible restaurants, thereby concealing any uncertainty that attributed to neighborhoods' size or spatial correlation. To address these limitations, this paper presents a Bayesian Spatial Factor Analysis for assessing NRE healthfulness in the city of Kitchener, Canada. Several in-restaurant characteristics are included. By treating NRE healthfulness as a spatially correlated latent variable, the adopted modeling approach can: (i) identify specific indicators most relevant to NRE healthfulness, (ii) provide healthfulness estimates for neighborhoods without accessible restaurants, and (iii) readily quantify uncertainties in the healthfulness index. Implications of the analysis for intervention program development and community food planning are discussed.
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Affiliation(s)
- Hui Luan
- School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuchang District, Wuhan, Hubei, China; School of Human Kinetics and Recreation, Memorial University of Newfoundland, 230 Elizabeth Avenue, St. John's, NL, Canada.
| | - Jane Law
- School of Planning, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada; School of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada.
| | - Martin Lysy
- Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada.
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