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de França FCO, Zandonadi RP, da Silva Santana ÍA, da Silva ICR, Akutsu RDCCDA. Food and Consumers' Environment Inside and around Federal Public Schools in Bahia, Brazil. Nutrients 2024; 16:201. [PMID: 38257094 PMCID: PMC10821399 DOI: 10.3390/nu16020201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/18/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024] Open
Abstract
The food environment plays a crucial role in shaping people's eating habits and, in and around schools, this influence becomes even more critical due to the time students spend daily in these spaces. This study aimed to analyze the food and consumer environments inside and around federal institutes in Bahia, Brazil. Ecological study and audit methodologies were combined, with all the 35 federal institutes in Bahia as the sample universe. To delimit the food environment around the school, the establishments were mapped in a 1000 m buffer, with the school as the centroid. The geographic coordinates of schools and food outlets were initially obtained using Google Maps and later confirmed on-site. The data were collected in WGS 84 and converted to UTM zone 23S SIRGAS 2000. To map the consumer environment, establishments found in a 250 m buffer and also canteens within schools were audited, using the ESAO-r instrument that considers the availability and prices of healthy and unhealthy foods; availability of nutritional information near the point of purchase or on the menu; and presence of internal marketing of healthy and unhealthy foods. The healthy meal-restaurant index (HMRI) was also measured. This index ranges from 0 to 8 points and positively scores items related to healthy consumption and fails to score those related to unhealthy consumption and behavior. The establishments were grouped into four categories (healthy, unhealthy, mixed, and supermarkets). The surrounding area with four or more unhealthy establishments within the 250 m buffer was considered a food swamp. Descriptive analyses were carried out with frequency measurements, measures of central tendency (mean and median), and dispersion (standard deviation). Around the analyzed schools, 732 food establishments were identified, 73.8% (n = 540) formal and 26.2% (n = 192) informal. Considering the characteristics of existing commerce, there was a predominance of snack bars (45%), grocery stores (23%), and bars (7.8%), with a smaller number of supermarkets identified (4.1%). School canteens were found in 20 schools analyzed and only 15% had a variety of healthy foods. When evaluating the availability of healthy foods, a median HMRI of 3 (1-7) was observed. When analyzing this index according to the type of establishment, it was found that fruit and vegetables presented higher values (HMRI = 7; P25-P75: 4-8) compared to large chain supermarkets (HMRI = 5; P25-P75: 2-6; p < 0.001) and local markets (HMRI = 4; P25-P75: 2-5; p < 0.001). From the analysis of the food and consumer environments, it was possible to make inferences about the quality of the food offered to students in these locations, as well as the potential health outcomes arising from this exposure and the need to carry out food education activities and nutritional activities.
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Affiliation(s)
- Fabiana Chagas Oliveira de França
- Nutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil; (F.C.O.d.F.); (Í.A.d.S.S.)
| | | | - Ívenes Ariele da Silva Santana
- Nutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil; (F.C.O.d.F.); (Í.A.d.S.S.)
| | | | - Rita de Cassia Coelho de Almeida Akutsu
- Nutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil; (F.C.O.d.F.); (Í.A.d.S.S.)
- Department of Nutrition, University of Brasilia, Brasilia 70910-900, Brazil;
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Pillay D, Ali A, Wham CA. Examining the New Zealand school food environment: what needs to change? Nutr Res Rev 2023; 36:406-419. [PMID: 35968693 DOI: 10.1017/s0954422422000154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Habitual dietary intakes and nutrition behaviours developed during childhood and adolescence pave the way for similar behaviours to manifest in adulthood. Childhood obesity rates have now reached a point where one in six children globally are classified as overweight or obese. Schools have the unique ability to reach almost all children during key developmental stages, making them an ideal setting for influencing children's nutrition behaviours. Evidence suggests the school food environment is not always conducive to healthy food choices and may be obesogenic. The aim of this narrative review is to explore factors that influence the healthy food and drink environment in and around schools in New Zealand. The review focused on evidence from New Zealand and Australia given the close resemblance in education systems and school food guidance. Using the Analysis Grid for Environments Linked to Obesity (ANGELO) framework, the school food environment was categorised into the following domains: economic, political, physical and socio-cultural factors. Findings suggest that food policies are not utilised within schools, and guidelines to improve the school food environment are not well implemented. Canteen profit models, lack of staff support and resources, and higher availability of low-cost unhealthy foods are among barriers that hinder implementation. This review highlights recommendations from existing evidence, including canteen pricing strategies, restriction of unhealthy foods and using peer modelling in a time-scarce curriculum to improve the school food environment. Key areas for improvement, opportunities to enhance policy implementation and untapped avenues to improve the food and nutrition behaviours of children are highlighted.
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Affiliation(s)
- Danika Pillay
- School of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand
| | - Ajmol Ali
- School of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand
| | - Carol A Wham
- School of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand
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Nicholas KM, Thompson AL, Wasser HM, Bentley ME. Healthy home food environments of pregnant Black women are shaped by food outlet access and participation in nutrition assistance programs. Am J Hum Biol 2023; 35:e23903. [PMID: 37025042 DOI: 10.1002/ajhb.23903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 03/14/2023] [Accepted: 03/21/2023] [Indexed: 04/08/2023] Open
Abstract
OBJECTIVES Improving access to healthy food in Black communities is imperative to combat intergenerational health disparities. Pregnant Black women represent an especially vulnerable population to multiple (and overlapping) sources of socioeconomic and political disenfranchisement and thus for whom maternal nutrition is crucial. This study aimed to (1) define household food environment types, (2) determine whether the distribution of community food outlets is associated with these household food environment types, and (3) determine whether the community-household food environment relationship differs by maternal education or participation in nutrition assistance programs. METHODS Cross-sectional data for pregnant Black women in North Carolina (n = 429) come from the Mothers & Others study, an obesity-prevention randomized control trial, with linked spatial data on all community food outlets (n = 6312) in the study area in 2015. Factor analysis was used to define household food environment types. These factor scores were regressed on access metrics to community food outlets. Adjusted linear regressions tested interaction by maternal education and nutrition assistance programs. RESULTS Four household food environment types were defined: Factor 1 (fresh fruits and vegetables (F/V), low snack), Factor 2 (canned F/V, sweet drinks), Factor 3 (dried/frozen F/V, candy), and Factor 4 (low F/V, soda). Having more convenience stores within 0.25 miles was associated with higher Factor 4 scores. No food outlets were associated with higher Factor 1 scores overall. However, SNAP or WIC participating households saw higher Factor 1 scores with increased access to supermarkets, convenience stores, and dollar stores. CONCLUSIONS Nutrition assistance programs play an important role as buffers against unhealthy community food environments which influence household food environments and maternal nutrition.
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Affiliation(s)
- Khristopher M Nicholas
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Amanda L Thompson
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Anthropology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Heather M Wasser
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Margaret E Bentley
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Shaw S, Barrett M, Shand C, Cooper C, Crozier S, Smith D, Barker M, Vogel C. Influences of the community and consumer nutrition environment on the food purchases and dietary behaviors of adolescents: A systematic review. Obes Rev 2023; 24:e13569. [PMID: 37081719 PMCID: PMC10909420 DOI: 10.1111/obr.13569] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 02/16/2023] [Accepted: 03/27/2023] [Indexed: 04/22/2023]
Abstract
Adolescence is a period of increased autonomy over decision-making, including food choices, and increased exposure to influences outside the home, including the food environment. This review aims to synthesize the evidence for the influence of community nutrition environments, spatial access to food outlets, and consumer nutrition environments, environments inside food outlets, on adolescent food purchasing and dietary behaviors in high-income countries. Six databases were searched for articles published before January 2023. Results were synthesized using a vote-counting technique and effect direction plots that record the direction of the effect in relation to the anticipated relationship with health. Thirty-four observational and two intervention studies met the inclusion criteria. In the 13 studies assessing adolescent exposure to healthy community nutrition environments, results did not show clear associations with dietary and purchasing outcomes. Thirty studies assessed adolescents' exposure to unhealthy community nutrition environments with the majority (n = 17/30, 57%) reporting results showing that greater exposure to food outlets classified as unhealthy was associated with less healthy food purchases and dietary intakes. Inconsistent results were observed across the seven studies investigating associations with the consumer environment. Further research in these areas, including more high-quality intervention studies, may help to develop policy strategies to improve adolescents' dietary behaviors.
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Affiliation(s)
- Sarah Shaw
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSO16 6YDUK
| | - Millie Barrett
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSO16 6YDUK
- Centre for Food Policy, CityUniversity of LondonNorthampton SquareLondonEC1V0HBUK
| | - Calum Shand
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSO16 6YDUK
| | - Sarah Crozier
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSO16 6YDUK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre2 Venture Road, ChilworthSouthamptonSO16 7NPUK
| | - Dianna Smith
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre2 Venture Road, ChilworthSouthamptonSO16 7NPUK
- Geography and Environmental ScienceUniversity of SouthamptonSouthamptonSO17 1BJUK
| | - Mary Barker
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSO16 6YDUK
- School of Health SciencesFaculty of Environmental and Life SciencesUniversity of SouthamptonSouthamptonSO17 1BJUK
| | - Christina Vogel
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonSO16 6YDUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSO16 6YDUK
- Centre for Food Policy, CityUniversity of LondonNorthampton SquareLondonEC1V0HBUK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre2 Venture Road, ChilworthSouthamptonSO16 7NPUK
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de França FCO, Andrade IDS, Zandonadi RP, Sávio KE, Akutsu RDCCDA. Food Environment around Schools: A Systematic Scope Review. Nutrients 2022; 14:nu14235090. [PMID: 36501120 PMCID: PMC9739807 DOI: 10.3390/nu14235090] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 11/22/2022] [Accepted: 11/26/2022] [Indexed: 12/02/2022] Open
Abstract
The present systematic scope review intended to compile state-of-the-art information about the food environment around schools, exploring the main methods used to describe the food environment around schools as well as the possible effects that this environment can promote on the health of children and adolescents. The preferred reporting items for systematic reviews and meta-analyses-extension for scoping reviews (PRISMA-ScR) checklist and guidelines were followed to ensure a robust and repeatable methodological process. A systematic search was performed in the following electronic databases: MEDLINE, Embase, Science Direct, Web of Science, LILACS, and Scopus, as well as in related articles, a manual search of reference lists and gray literature. Forty-six studies were selected. There was no standardization regarding distances from food establishments to schools, methods of analysis, and software used. The food environment around the schools was characterized by the wide availability of food establishments, especially fast food, convenience stores, supermarkets, and grocery stores known for offering a wide variety of unhealthy foods. Regarding the correlations with the health of children and adolescents, the evidence points to possible interferences of the food environment known as obesogenic, but it cannot be related only to the school environment since most of the acquisition and consumption of food usually happens around family homes. Conducting standardized and comprehensive studies evaluating food choices in the school environment and their interrelationships is very important to ensure children's food and nutrition security and minimize negative health outcomes in the medium and long term.
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Affiliation(s)
| | - Iziane da Silva Andrade
- Health Sciences Center, Federal University of Reconcavo da Bahia-Rua Rui Barbosa, 710-Centro, Cruz das Almas 44574-490, BA, Brazil
| | | | | | - Rita de Cassia Coelho de Almeida Akutsu
- Nutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, BA, Brazil
- Department of Nutrition, University of Brasilia, Brasilia 70910-900, DF, Brazil
- Correspondence:
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Pauuvale AF, Vickers MH, Pamaka S, Apelu D, Fehoko ‘A, ‘Ofanoa M, Bay JL. Exploring the Retail Food Environment Surrounding Two Secondary Schools with Predominantly Pacific Populations in Tonga and New Zealand to Enable the Development of Mapping Methods Appropriate for Testing in a Classroom. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15941. [PMID: 36498013 PMCID: PMC9739248 DOI: 10.3390/ijerph192315941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/14/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Rates of noncommunicable diseases (NCDs) are disproportionately high among people of Pacific ethnicity. Nutrition-related environmental exposures including food access and quality contribute to the matrix of factors impacting risk. Preventative interventions in adolescence and the opportunity to integrate health promotion into school-based learning are often overlooked. This study tested the potential of a low-cost method to map the retail food environment in a 1 km radius of two secondary schools in low socioeconomic communities with predominantly Pacific populations, in Tonga and New Zealand (NZ). Mapping utilized Google Earth, Google Maps, government maps, and observations. A rubric was developed to categorize food quality. Outlets within a 1 km radius of each school, (Tonga, n = 150; NZ, n = 52) stocked predominantly unhealthy foods. The NZ data compared favorably to previous studies, indicating the method was valid. The Tongan data is novel and indicates that alternative strategies can be used when access to GIS-type tools is limited. The method produced visual data that has the potential to be analyzed using strategies appropriate for secondary schools. The method should now be tested in classrooms to assess its potential to support school-age students to engage in mapping and critiquing the retail food environment.
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Affiliation(s)
- Alvina F. Pauuvale
- Liggins Institute, University of Auckland, Auckland 1142, New Zealand
- School of Population Health, University of Auckland, Auckland 1142, New Zealand
| | - Mark H. Vickers
- Liggins Institute, University of Auckland, Auckland 1142, New Zealand
| | | | | | | | - Malakai ‘Ofanoa
- School of Population Health, University of Auckland, Auckland 1142, New Zealand
| | - Jacquie L. Bay
- Liggins Institute, University of Auckland, Auckland 1142, New Zealand
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Sánchez BN, Fu H, Matsuzaki M, Sanchez-Vaznaugh E. Characterizing food environments near schools in California: A latent class approach simultaneously using multiple food outlet types and two spatial scales. Prev Med Rep 2022; 29:101937. [PMID: 35928596 PMCID: PMC9344015 DOI: 10.1016/j.pmedr.2022.101937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 07/21/2022] [Accepted: 07/26/2022] [Indexed: 11/30/2022] Open
Abstract
It is challenging to evaluate associations between the food environment near schools with either prevalence of childhood obesity or with socioeconomic characteristics of schools. This is because the food environment has many dimensions, including its spatial distribution. We used latent class analysis to classify public schools in urban, suburban, and rural areas in California into food environment classes based on the availability and spatial distribution of multiple types of unhealthy food outlets nearby. All urban schools had at least one unhealthy food outlet nearby, compared to seventy-two percent of schools in rural areas did. Food environment classes varied in the quantity of available food outlets, the relative mix of food outlet types, and the outlets' spatial distribution near schools. Regardless of urbanicity, schools in low-income neighborhoods had greater exposure to unhealthy food outlets. The direction of associations between food environment classes and school size, type, and race/ethnic composition depends on the level of urbanicity of the school locations. Urban schools attended primarily by African American and Asian children are more likely to have greater exposures to unhealthy food outlets. In urban and rural but not suburban areas, schools attended primarily by Latino students had more outlets offering unhealthy foods or beverages nearby. In suburban areas, differences in the spatial distribution of food outlets indicates that food outlets are more likely to cluster near K-12 schools and high schools compared to elementary schools. Intervention design and future research need to consider that the associations between food environment exposures and school characteristics differ by urbanicity.
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Affiliation(s)
- Brisa N. Sánchez
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA 19104, USA
| | - Han Fu
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48104, USA
| | - Mika Matsuzaki
- Department of International Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Emma Sanchez-Vaznaugh
- Health Education Department, San Francisco State University, San Francisco, CA 94132, USA
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Jia P, Luo M, Li Y, Zheng JS, Xiao Q, Luo J. Fast-food restaurant, unhealthy eating, and childhood obesity: A systematic review and meta-analysis. Obes Rev 2021; 22 Suppl 1:e12944. [PMID: 31507064 PMCID: PMC7988557 DOI: 10.1111/obr.12944] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 08/13/2019] [Accepted: 08/14/2019] [Indexed: 12/27/2022]
Abstract
Excessive access to fast-food restaurants (FFRs) in the neighbourhood is thought to be a risk factor for childhood obesity by discouraging healthful dietary behaviours while encouraging the exposure to unhealthful food venues and hence the compensatory intake of unhealthy food option. A literature search was conducted in the PubMed, Web of Science, and Embase for articles published until 1 January 2019 that analysed the association between access to FFRs and weight-related behaviours and outcomes among children aged younger than 18. Sixteen cohort studies and 71 cross-sectional studies conducted in 14 countries were identified. While higher FFR access was not associated with weight-related behaviours (eg, dietary quality score and frequency of food consumption) in most studies, it was commonly associated with more fast-food consumption. Despite that, insignificant results were observed for all meta-analyses conducted by different measures of FFR access in the neighbourhood and weight-related outcomes, although 17 of 39 studies reported positive associations when using overweight/obesity as the outcome. This systematic review and meta-analysis revealed a rather mixed relationship between FFR access and weight-related behaviours/outcomes among children and adolescents.
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Affiliation(s)
- Peng Jia
- Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, the Netherlands.,International Institute of Spatial Lifecourse Epidemiology (ISLE), the Netherlands
| | - Miyang Luo
- International Institute of Spatial Lifecourse Epidemiology (ISLE), the Netherlands.,Department of Reproductive Immunology, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yamei Li
- Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Ju-Sheng Zheng
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Qian Xiao
- International Institute of Spatial Lifecourse Epidemiology (ISLE), the Netherlands.,Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA.,Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Jiayou Luo
- International Institute of Spatial Lifecourse Epidemiology (ISLE), the Netherlands.,Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China
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Alves MDA, Pinho MGM, Corrêa EN, das Neves J, de Assis Guedes de Vasconcelos F. Parental Perceived Travel Time to and Reported Use of Food Retailers in Association with School Children's Dietary Patterns. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E824. [PMID: 30866407 PMCID: PMC6427110 DOI: 10.3390/ijerph16050824] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 02/21/2019] [Accepted: 03/01/2019] [Indexed: 11/16/2022]
Abstract
Considering the association between the neighborhood food environment and individual eating behaviors, this study aimed to assess the association between parents' reported use of food facilities by their children, and parental perceived travel time to food facilities, with their children's dietary patterns. Parents reported the use of supermarkets, full-service and fast-food restaurants, and perceived travel time to these food retailers. To assess school children's food consumption, a previous day dietary recall was applied. Factor analysis was conducted to identify dietary patterns. To test the association between reported use and perceived travel time to food retailers and school children's dietary patterns, we performed multilevel linear regression analyses. Parents' reported use of supermarkets was associated with children's higher score in the "Morning/Evening Meal" pattern. The use of full-service and fast-food restaurants was associated with children's higher score in the "Fast Food" pattern. Higher parental perceived travel time to full-service and fast-food restaurants was associated with children's lower score in the "Fast Food" pattern. Although the use of full-service and fast-food restaurants was associated with a less healthy dietary pattern, the perception of living further away from these food retailers may pose a barrier for the use of these facilities.
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Affiliation(s)
- Mariane de Almeida Alves
- Department of Nutrition, Centre of Health Sciences, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina 88040-900, Brazil.
| | - Maria Gabriela M Pinho
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, F wing, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands.
| | - Elizabeth Nappi Corrêa
- Department of Nutrition, Centre of Health Sciences, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina 88040-900, Brazil.
| | - Janaina das Neves
- Department of Nutrition, Centre of Health Sciences, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina 88040-900, Brazil.
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Carmo ASD, Assis MMD, Cunha CDF, Oliveira TRPRD, Mendes LL. The food environment of Brazilian public and private schools. CAD SAUDE PUBLICA 2018; 34:e00014918. [PMID: 30517312 DOI: 10.1590/0102-311x00014918] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 08/15/2018] [Indexed: 11/22/2022] Open
Abstract
This study's aim was to characterize the food environment of Brazilian public and private schools. This was a national school-based cross-sectional study with 1,247 schools - among which 81.09% were public and 18.91% were private - in 124 Brazilian municipalities. The data originated from the Questionnaire on Aspects of the School Environment, used in the Study of Cardiovascular Risk in Adolescents (ERICA) in 2013 and 2014. Data analysis was conducted in 2017. The chi-square test was used to compare proportions. A greater proportion of public schools offered school meals (98.15%) in comparison to private schools (8.07%) (p < 0.001). The internal sale of food and beverages was more prevalent in private schools (97.75% vs. 45.06%, p < 0.001). Also, sale and advertisement of processed and ultra-processed foods (sodas, cookies, savory snacks, sandwiches and pizza), as well as the presence of vending machines for industrialized products (18.02% vs. 4%) (p < 0.001) were more common in private schools. Street vendors at the school gate or surroundings were identified in 41.32% of the public schools and 47.75% of the private schools (p > 0.05). These findings reveal the predominance of obesogenic environments mainly in private schools, and can contribute to the design of Brazilian public policies to promote a healthy school food environment.
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Charting Availability of Processed and Unprocessed Foods in School Neighbourhood Nutrition Environments in an Urban Australian Setting. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2017; 2017:8397469. [PMID: 28553361 PMCID: PMC5434266 DOI: 10.1155/2017/8397469] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 03/20/2017] [Indexed: 11/17/2022]
Abstract
School Neighbourhood Nutrition Environments (SNNEs) can facilitate or impede healthy eating. This study describes the SNNEs surrounding 6 Good Start Program (GSP) schools in 5 suburbs in Logan, Queensland. Relative density of healthy and unhealthy food outlets was calculated for SNNEs surrounding GSP (6) and non-GSP (10) schools within the 5 suburbs. Relative accessibility of minimally processed and highly processed food and drink in SNNEs of the 6 GSP schools was determined using shelf measurements of snack foods. Unhealthy outlets greatly outnumber healthy outlets (mean relative density 15.6%, median 19.1%). The majority of outlets stock predominantly highly processed food and drink. Study areas are dominated by unhealthy food outlets and highly processed food.
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Vandevijvere S, Sushil Z, Exeter DJ, Swinburn B. Obesogenic Retail Food Environments Around New Zealand Schools: A National Study. Am J Prev Med 2016; 51:e57-66. [PMID: 27130865 DOI: 10.1016/j.amepre.2016.03.013] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 02/19/2016] [Accepted: 03/17/2016] [Indexed: 10/21/2022]
Abstract
INTRODUCTION This is the first nationwide spatial analysis of retail food environments around more and less socioeconomically deprived schools in New Zealand. METHODS Addresses from all food outlets were retrieved from 66 City and District Councils in 2014. All fast food, takeaway, and convenience outlets (FFTCs) were geocoded and (spatially) validated in 2015. Density and proximity of FFTCs around/from all schools were stratified by urban/rural area and quintile of school socioeconomic deprivation. RESULTS About 68.5% urban and 14.0% rural schools had a convenience store within 800 m; 62.0% urban and 9.5% rural schools had a fast food or takeaway outlet within 800 m. Median road distance to the closest convenience store from urban schools was significantly higher for the least (617 m) versus the most deprived (521 m) schools (p<0.001); the opposite was found for rural schools. Median FFTC density was 2.4 (0.8-4.8) per km(2) and maximum density was 85 per km(2) within 800 m of urban schools. Median density of convenience stores around the least deprived urban schools was significantly lower than around the most deprived schools (p<0.01). CONCLUSIONS Access to unhealthy foods through FFTCs within walking distance from urban schools is substantial in New Zealand, and greater for the most versus the least deprived schools. Health promoters should work with retailers to explore feasible actions to reduce children's exposure to unhealthy foods before and after school, and provisions to allow Councils to restrict new FFTCs in school neighborhoods could be included in the Local Government Act.
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Affiliation(s)
- Stefanie Vandevijvere
- Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
| | - Zaynel Sushil
- Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Daniel J Exeter
- Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Boyd Swinburn
- Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
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Association between home and school food environments and dietary patterns among 9-11-year-old children in 12 countries. INTERNATIONAL JOURNAL OF OBESITY SUPPLEMENTS 2015; 5:S66-73. [PMID: 27152188 DOI: 10.1038/ijosup.2015.22] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVES We investigated the roles of home and school environments on dietary patterns among children from 12 countries differing widely in geographic region and levels of human and economic development. METHODS The sample included a total of 6685 (54% girls) 9-11-year-old children. Parents/guardians reported the availability of certain foods in the home, and trained researchers performed school audits recording the availability of foods for sale at schools. Foods were then divided into wholesome (nutrient-dense) and empty-calorie (nutrient-poor) foods and scored according to their availability. Children reported if their school provided school lunch and how many times during the last week they had eaten meals prepared away from home and school. Via principal components analysis, data-driven dietary pattern scores were calculated from food frequency questionnaires. Multilevel models were used to study the associations between home and school food environments (wholesome and empty-calorie foods) and dietary patterns (healthy and unhealthy diet pattern scores). RESULTS For low unhealthy diet pattern scores, low availability of empty-calorie foods at home was found to be more important than high availability of wholesome foods. More meals eaten outside home and school were associated with the higher unhealthy diet pattern scores. The availability of wholesome foods at home was positively associated with the healthy diet pattern scores. Food availability at school was not associated with the dietary patterns. CONCLUSIONS In this sample, the home food environment was more significant than the school food environment in predicting the dietary patterns. The availability of empty-calorie foods was associated with the unhealthy dietary pattern even when the availability of wholesome foods at home was high. Meals prepared away from home contributed to the unhealthy dietary pattern. Therefore, parents should be encouraged to limit the availability of empty-calorie foods and eating outside the home.
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