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Hoenink JC, Burgoine T, Forouhi NG, Monsivais P, Sharp SJ, Panter J, Adams J. Associations of takeaway outlets with takeaway food consumption and adiposity: longitudinal analysis of the Fenland cohort. Obesity (Silver Spring) 2024. [PMID: 39385512 DOI: 10.1002/oby.24152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/04/2024] [Accepted: 08/16/2024] [Indexed: 10/12/2024]
Abstract
OBJECTIVE This study builds on prior findings that link increased availability of takeaway food outlets in home, workplace, and commuting environments to greater takeaway consumption and adiposity. Using longitudinal data, we examine associations of takeaway availability at baseline with changes in consumption and adiposity between baseline and follow-up. METHODS We analyzed data from the Fenland Study, with baseline data from 2005 to 2015 and follow-up from 2015 to 2020. Takeaway outlet availability within 1 mile of participants' home and workplace addresses, based on 2011 local authority data, was assessed. Outcomes included takeaway food consumption (from a food frequency questionnaire) and body fat percentage (measured via dual-energy x-ray absorptiometry) at follow-up. RESULTS Among 7581 participants (mean [SD] age, 49.3 [7.4] years) with a mean follow-up of 6.7 years, no positive association was found between takeaway outlet availability at baseline and changes in consumption or body fat percentage. However, among the 12 associations tested, the highest combined home-workplace availability of takeaway outlets, compared with none, was associated with a 0.68 decrease in body fat percentage (95% CI: 0.24-1.12). CONCLUSIONS Although takeaway outlet availability was linked to greater consumption and adiposity at baseline, it did not predict changes over time, underscoring the complexity of dietary behaviors and their relationship with the neighborhood food environment.
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Affiliation(s)
- Jody C Hoenink
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK
| | - Thomas Burgoine
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK
| | - Pablo Monsivais
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK
| | - Jenna Panter
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK
| | - Jean Adams
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK
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Ares G, Turra S, Bonilla L, Costa M, Verdier S, Brunet G, Alcaire F, Curutchet MR, Vidal L. WEIRD and non-consensual food deserts and swamps: A scoping review of operational definitions. Health Place 2024; 89:103315. [PMID: 39013213 DOI: 10.1016/j.healthplace.2024.103315] [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: 03/18/2024] [Revised: 07/02/2024] [Accepted: 07/05/2024] [Indexed: 07/18/2024]
Abstract
The aim of the present study was to critically analyze operational definitions of food deserts and food swamps included in empirical studies published in peer-reviewed journals. A scoping review was conducted following the recommendations of the Joanna Briggs Institute and PRISMA Extension for Scoping Reviews. A search of the scientific literature was performed on August 2023 to identify empirical studies including operational definitions of food deserts and/or food swamps in three databases: Scopus, PubMed, and Scielo. A total of 932 scientific articles were identified in the three databases, from which 157 articles, published between 2002 and 2023, were included in the review. The included studies were mainly conducted in WEIRD (Western, Educated, Industrilaized, Rich and Democractic) countries. They presented a total of 107 operational definitions of food deserts and 30 operational definitions of food swamps. Large heterogeneity in the operational definitions of food deserts and food swamps was found. Published studies differed in all the elements of the operational definitions analyzed in the present work. Results stress the need for standardization and the development of more objective and multivariate continuous measures of physical food accessibility that reflect the complexity of modern food environments globally. A series of recommendations to advance food environment research are derived.
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Affiliation(s)
- Gastón Ares
- Sensometrics & Consumer Science, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República, By Pass de Rutas 8 y 101 s/n, CP 91000, Pando, Uruguay.
| | - Sergio Turra
- Escuela de Nutrición, Universidad de la República, Av. Ricaldoni S/N, CP 11600, Montevideo, Uruguay
| | - Luciana Bonilla
- Instituto Nacional de Alimentación, Ministerio de Desarrollo Social, Piedras 165, CP 11000, Montevideo, Uruguay
| | - María Costa
- Instituto Nacional de Alimentación, Ministerio de Desarrollo Social, Piedras 165, CP 11000, Montevideo, Uruguay
| | - Sofía Verdier
- Instituto Nacional de Alimentación, Ministerio de Desarrollo Social, Piedras 165, CP 11000, Montevideo, Uruguay
| | - Gerónimo Brunet
- Espacio Interdisciplinario, Universidad de la República, José Enrique Rodó 1843, CP 11200, Montevideo, Uruguay
| | - Florencia Alcaire
- Sensometrics & Consumer Science, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República, By Pass de Rutas 8 y 101 s/n, CP 91000, Pando, Uruguay
| | - María Rosa Curutchet
- Instituto Nacional de Alimentación, Ministerio de Desarrollo Social, Piedras 165, CP 11000, Montevideo, Uruguay
| | - Leticia Vidal
- Sensometrics & Consumer Science, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República, By Pass de Rutas 8 y 101 s/n, CP 91000, Pando, Uruguay
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Clynes S, Moran A, Cardel M, Foster G, Phelan S. Weight Loss Maintainers Sustain High Diet Quality in Diverse Residential Retail Food Environments. J Acad Nutr Diet 2024; 124:957-963.e3. [PMID: 38556111 DOI: 10.1016/j.jand.2024.03.012] [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: 09/01/2023] [Revised: 03/09/2024] [Accepted: 03/27/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND The relationship between the retail food environment and diet quality has received minimal investigation among weight loss maintainers. OBJECTIVE The aim of this study was to investigate the association between the residential retail food environment and diet quality in weight loss maintainers from WeightWatchers in the United States. DESIGN Cross-sectional data were collected between January 2018 and February 2020. The Retail Food Environment Index (RFEI), based on geocoded home addresses, classified the environment as follows: RFEI <1.6 = healthiest; RFEI 1.6 to <2.5 = moderately healthy; RFEI 2.5 to <4.0 = moderately unhealthy; RFEI ≥4.0 = least healthy. Dietary data were obtained using a food frequency questionnaire. PARTICIPANTS/SETTING Adult participants (n = 1,159) who had lost weight using WeightWatchers and maintained ≥9.1-kg weight loss for ≥1 year (mean 24.7-kg loss for 3.4 years). MAIN OUTCOME MEASURES Healthy Eating Index 2015 (HEI-2015) component and total scores (0-100; higher scores indicate better alignment with the 2015-2020 Dietary Guidelines for Americans). STATISTICAL ANALYSES PERFORMED Regression models included RFEI category, the independent variable, and HEI-2015 and component scores (outcomes) controlling for age, sex, race and ethnicity, educational attainment, and household income. RESULTS Compared with individuals living in the healthiest food environments (mean HEI-2015 score = 71.5) those in the unhealthiest environments had a mean HEI-2015 score of 70.1 (95% CI 68.8 to 71.3), those in moderately unhealthy environments had a score of 71.3 (95% CI 70.3 to 73.1) and those in moderately healthy environments had a score of 70.3 (95% CI 68.9 to 71.2), indicating a nonlinear relationship. Compared with those in the healthiest environments, those in the least healthy environments had an approximately 0.47 lower added sugar HEI-2015 component score (95% CI -0.86 to -0.08), indicating approximately 5% higher added sugar intake. CONCLUSIONS Weight loss maintainers maintained high diet quality in diverse retail food environments. Compared with those in the healthiest food environments, those in the least healthy had a higher consumption of added sugars.
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Affiliation(s)
- Sasha Clynes
- Department of Health Policy, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
| | - Alyssa Moran
- Department of Health Policy, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Michelle Cardel
- WeightWatchers, New York, New York; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, Florida
| | - Gary Foster
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Suzanne Phelan
- Departments of Kinesiology and Public Health and Center for Health Research, California Polytechnic State University, San Luis Obispo, California
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Kalbus AI, Cornelsen L, Ballatore A, Cummins S. Associations between the neighbourhood food environment and food and drink purchasing in England during lockdown: A repeated cross-sectional analysis. PLoS One 2024; 19:e0305295. [PMID: 39018304 PMCID: PMC11253942 DOI: 10.1371/journal.pone.0305295] [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: 10/30/2023] [Accepted: 05/27/2024] [Indexed: 07/19/2024] Open
Abstract
INTRODUCTION Evidence for the effect of neighbourhood food environment (NFE) exposures on diet in the UK is mixed, potentially due to exposure misclassification. This study used the first national COVID-19 lockdown in England as an opportunity to isolate the independent effects of the NFE exposure on food and drink purchasing, and assessed whether these varied by region. METHODS Transaction-level purchasing data for food and drink items for at-home (1,221 households) and out-of-home consumption (171 individuals) were available from the GB Kantar Fast Moving Consumer Goods Panel for London and the North of England. The study period included 23rd March to 10th May 2020 ('lockdown'), and the same period in 2019 for comparison. NFE exposures included food outlet density and proximity, and NFE composition within a 1 km network buffer around the home. Associations were estimated for both years separately, adjusted for individual and household characteristics, population density and area deprivation. Interaction terms between region and exposures were explored. RESULTS There were no consistent patterns of association between NFE exposures and food and drink purchasing in either time period. In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, p = 0.020). In 2020, there was some evidence for a 1.8% reduction in total take-home energy for each additional chain supermarket per km2 in the neighbourhood (IR 0.982, 95% CI 0.969, 0.995, p = 0.045). Region-specific effects were observed in 2019 only. DISCUSSION Findings suggest that the differences in exposure to the NFE may not explain differences in the patterns or healthiness of grocery purchasing. Observed pre-pandemic region-specific effects allude to the importance of geographical context when designing research and policy. Future research may assess associations for those who relied on their NFE during lockdown.
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Affiliation(s)
- Alexandra Irene Kalbus
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Laura Cornelsen
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Andrea Ballatore
- Department of Digital Humanities, King’s College London, London, United Kingdom
| | - Steven Cummins
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
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García Bulle Bueno B, Horn AL, Bell BM, Bahrami M, Bozkaya B, Pentland A, de la Haye K, Moro E. Effect of mobile food environments on fast food visits. Nat Commun 2024; 15:2291. [PMID: 38480685 PMCID: PMC10937966 DOI: 10.1038/s41467-024-46425-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 02/26/2024] [Indexed: 03/17/2024] Open
Abstract
Poor diets are a leading cause of morbidity and mortality. Exposure to low-quality food environments saturated with fast food outlets is hypothesized to negatively impact diet. However, food environment research has predominantly focused on static food environments around home neighborhoods and generated mixed findings. In this work, we leverage population-scale mobility data in the U.S. to examine 62M people's visits to food outlets and evaluate how food choice is influenced by the food environments people are exposed to as they move through their daily routines. We find that a 10% increase in exposure to fast food outlets in mobile environments increases individuals' odds of visitation by 20%. Using our results, we simulate multiple policy strategies for intervening on food environments to reduce fast-food outlet visits. This analysis suggests that optimal interventions are informed by spatial, temporal, and behavioral features and could have 2x to 4x larger effect than traditional interventions focused on home food environments.
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Affiliation(s)
| | - Abigail L Horn
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089, USA
- Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90292, USA
| | - Brooke M Bell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Mohsen Bahrami
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Burçin Bozkaya
- Sabanci Business School, Sabanci University, 34956, Tuzla, Istanbul, Turkey
| | - Alex Pentland
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Kayla de la Haye
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, 90089, USA
| | - Esteban Moro
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Grupo Interdisciplinar de Sistemas Complejos (GISC), Department of Mathematics and GISC, Universidad Carlos III de Madrid, 28911, Leganés, Spain.
- Network Science Institute, Northeastern University, Boston, MA, 02115, USA.
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6
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de Jesus ACC, Botelho LV, Canella DS, Tavares LF, de Castro PCP, da Silva IDCG, Cardoso LDO. Food environment of bus terminals in the Rio de Janeiro metropolitan region. Rev Saude Publica 2024; 58:04. [PMID: 38381894 PMCID: PMC10878687 DOI: 10.11606/s1518-8787.2024058004769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 01/11/2023] [Indexed: 02/23/2024] Open
Abstract
PURPOSE To describe and analyze the healthiness of formal and informal food establishments in bus terminals of the metropolitan region of the state of Rio de Janeiro. METHOD An audit was conducted in 156 formal and 127 informal food establishments located in 14 bus terminals of the five most populous cities of the metropolitan region of Rio de Janeiro. Proportions of types of establishments and means (95%CI) of food availability indicators in formal and informal settings were calculated. For the formal setting, prices, proportions of accepted payment methods, days and hours of operation, and food categories with displayed advertising were described. RESULTS The healthiness of food establishments in bus terminals was low (less than 36%). On average, ultra-processed food subgroups were 250% more available for purchase than fresh or minimally processed food. Purchasing food at these places was convenient because several forms of payment were available, and the opening hours of the establishments followed the peaks of movement. In addition, 73.3% of the advertising referred to ultra-processed drinks, and the cost-benefit of buying ultra-processed food was better than fresh or minimally processed food. CONCLUSION The food environment of bus terminals in the metropolitan region of Rio de Janeiro promotes unhealthy eating. Regulatory public policies should focus on initiatives to limit the wide availability and advertising of ultra-processed food in spaces of great circulation of people.
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Affiliation(s)
- Ana Carolina Castro de Jesus
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaPrograma de Pós-graduação em Epidemiologia em Saúde PúblicaRio de JaneiroRJBrazil Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Programa de Pós-graduação em Epidemiologia em Saúde Pública. Rio de Janeiro, RJ, Brazil.
| | - Laís Vargas Botelho
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaPrograma de Pós-graduação em Epidemiologia em Saúde PúblicaRio de JaneiroRJBrazil Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Programa de Pós-graduação em Epidemiologia em Saúde Pública. Rio de Janeiro, RJ, Brazil.
| | - Daniela Silva Canella
- Universidade do Estado do Rio de JaneiroInstituto de NutriçãoDepartamento de Nutrição AplicadaRio de JaneiroRJBrazil Universidade do Estado do Rio de Janeiro. Instituto de Nutrição. Departamento de Nutrição Aplicada. Rio de Janeiro, RJ, Brazil.
| | - Letícia Ferreira Tavares
- Universidade Federal do Rio de JaneiroInstituto de Nutrição Josué de CastroDepartamento de GastronomiaRio de JaneiroRJBrazil Universidade Federal do Rio de Janeiro. Instituto de Nutrição Josué de Castro. Departamento de Gastronomia. Rio de Janeiro, RJ, Brazil.
| | - Paulo César Pereira de Castro
- Universidade Federal do Rio de JaneiroInstituto de Nutrição Josué de CastroDepartamento de Nutrição Social e AplicadaRio de JaneiroRJBrazil Universidade Federal do Rio de Janeiro. Instituto de Nutrição Josué de Castro. Departamento de Nutrição Social e Aplicada. Rio de Janeiro, RJ, Brazil.
| | - Isabela da Costa Gaspar da Silva
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaPrograma de Pós-graduação em Epidemiologia em Saúde PúblicaRio de JaneiroRJBrazil Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Programa de Pós-graduação em Epidemiologia em Saúde Pública. Rio de Janeiro, RJ, Brazil.
| | - Letícia de Oliveira Cardoso
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaDepartamento de Epidemiologia e Métodos QuantitativosRio de JaneiroRJBrazilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos. Rio de Janeiro, RJ, Brazil.
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Siddiqui NZ, Wei L, Mackenbach JD, Pinho MGM, Helbich M, Schoonmade LJ, Beulens JWJ. Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda. Int J Health Geogr 2024; 23:3. [PMID: 38321477 PMCID: PMC10848400 DOI: 10.1186/s12942-024-00362-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: 09/29/2023] [Accepted: 01/24/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations may depend on the operationalization of exposure measures. We aimed to systematically review the literature on up-to-date evidence on the association between food environment exposures based on Global Positioning System (GPS) and diet-related and cardiometabolic health outcomes. METHODS The databases PubMed, Embase.com, APA PsycInfo (via Ebsco), Cinahl (via Ebsco), the Web of Science Core Collection, Scopus, and the International Bibliography of the Social Sciences (via ProQuest) were searched from inception to October 31, 2022. We included studies that measured the activity space through GPS tracking data to identify exposure to food outlets and assessed associations with either diet-related or cardiometabolic health outcomes. Quality assessment was evaluated using the criteria from a modified version of the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. We additionally used four items from a quality assessment tool to specifically assess the quality of GPS measurements. RESULTS Of 2949 studies retrieved, 14 studies fulfilled our inclusion criteria. They were heterogeneous and represent inconsistent evidence. Yet, three studies found associations between food outlets and food purchases, for example, more exposure to junk food outlets was associated with higher odds of junk food purchases. Two studies found associations between greater exposure to fast food outlets and higher fast food consumption and out of three studies that investigated food environment in relation to metabolic outcomes, two studies found that higher exposure to an unhealthy food environment was associated with higher odds of being overweight. CONCLUSIONS The current and limited evidence base does not provide strong evidence for consistent associations of GPS-based exposures of the food environment with diet-related and cardiometabolic health outcomes.
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Affiliation(s)
- Noreen Z Siddiqui
- Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, The Netherlands.
| | - Lai Wei
- Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands
| | - Joreintje D Mackenbach
- Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, The Netherlands
- Upstream Team, Amsterdam, the Netherlands
| | - Maria G M Pinho
- Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, The Netherlands
- Upstream Team, Amsterdam, the Netherlands
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands
| | - Linda J Schoonmade
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joline W J Beulens
- Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
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Recchia D, Perignon M, Rollet P, Bricas N, Vonthron S, Perrin C, Sirieix L, Charreire H, Méjean C. Store-specific grocery shopping patterns and their association with objective and perceived retail food environments. Public Health Nutr 2023; 27:e13. [PMID: 38072395 PMCID: PMC10830372 DOI: 10.1017/s1368980023002720] [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: 03/01/2023] [Revised: 10/24/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVE To explore store-specific grocery shopping patterns and assess associations with the objective and perceived retail food environment (RFE). DESIGN This cross-sectional study used principal component analysis and hierarchical cluster analysis to identify grocery shopping patterns and logistic regression models to assess their associations with the RFE, while adjusting for household characteristics. SETTING The Montpellier Metropolitan Area, France. PARTICIPANTS To be eligible for inclusion, participants had to be 18 years of age or older and reside in the Montpellier Metropolitan Area. Analyses were carried out on 415 households. RESULTS Households of cluster 'Supermarket' (49 % of households) primarily shopped at supermarkets and were less likely to live near a convenience store. Households of cluster 'Diversified' (18 %) shopped mostly at organic stores, at markets, at specialised stores, and from producers and were more likely to have a market in their activity space. Households of cluster 'Discount' (12 %) primarily shopped at discounters and were less likely to perceive a producer in their activity space. Households of cluster 'Convenience' (12 %) mostly shopped online or in convenience stores. Finally, households of cluster 'Specialized' (9 %) had high expenditures in greengrocers and in other specialised food stores and were more likely to live near a specialised food store. CONCLUSIONS This study highlighted the importance of considering both perceived and objective RFE indicators, as well as assessments around the home and in activity space. Understanding how people buy food and interact with their RFE is crucial for policymakers seeking to improve urban food policies.
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Affiliation(s)
- Daisy Recchia
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
| | - Marlène Perignon
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
| | - Pascaline Rollet
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
| | - Nicolas Bricas
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
- CIRAD, UMR MoISA, F-34398 Montpellier, Occitanie, France
| | - Simon Vonthron
- INNOVATION, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, Occitanie, France
| | - Coline Perrin
- INNOVATION, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, Occitanie, France
| | - Lucie Sirieix
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
| | - Hélène Charreire
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
| | - Caroline Méjean
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, Occitanie, France
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Siddiqui NZ, Pinho MGM, Rutters F, Beulens JWJ, Mackenbach JD. The interaction between the community food environment and cooking skills in association with diet-related outcomes in Dutch adults. Public Health Nutr 2023; 26:2945-2952. [PMID: 37850441 PMCID: PMC10755447 DOI: 10.1017/s1368980023002148] [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: 12/12/2022] [Revised: 07/30/2023] [Accepted: 09/29/2023] [Indexed: 10/19/2023]
Abstract
OBJECTIVE We examined whether associations between the food environment, frequency of home cooking, diet quality and BMI were modified by the level of cooking skills. DESIGN Cross-sectional study using linear and modified Poisson regression models adjusted for age, sex, energy intake, education, income, household size and urbanisation. The frequency of home cooking was categorised into <6 and 6-7 d. Diet quality was based on a validated Dutch healthy diet index (0-150 points). Count of restaurants and food stores were determined by their count in a 1000m buffer around home and work. Cooking skills (score 1-5) were assessed using a validated questionnaire and added as interaction term. SETTING The Netherlands. PARTICIPANTS 1461 adults aged 18-65 years. RESULTS Count of restaurants and food stores were not associated with the frequency of home cooking. A 10-unit higher count of food stores was associated with a higher diet quality (β: 0·58 (95 % CI (0·04, 1·12)), and a 10-unit higher count of restaurants was associated with a lower BMI kg/m2 (β: -0·02 (95 % CI (-0·04, -0·004)). Better cooking skills were associated with a higher likelihood of cooking 6-7 d compared with <6 d (risk ratio: 1·24 (95 % CI (1·16, 1·31)) and a higher diet quality (β: 4·45 (95 % CI (3·27, 5·63)) but not with BMI. We observed no interaction between the food environment and cooking skills (P-for-interaction > 0·1). CONCLUSIONS Exposure to food stores was associated with a higher diet quality and exposure to restaurants with a lower BMI. Better cooking skills were associated with a higher frequency of home cooking and better diet quality but did not modify associations with the food environment. Future studies should explore different approaches to understand how individuals interact with their food environment.
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Affiliation(s)
- Noreen Z Siddiqui
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, the Netherlands
| | - Maria GM Pinho
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, the Netherlands
- Upstream Team, Amsterdam, the Netherlands
| | - Femke Rutters
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, the Netherlands
| | - Joline WJ Beulens
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Centre, Utrecht, the Netherlands
| | - Joreintje D Mackenbach
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases, Amsterdam, the Netherlands
- Upstream Team, Amsterdam, the Netherlands
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10
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Scharadin B, Zanocco C, Chistolini J. Food retail environments, extreme weather, and their overlap: Exploratory analysis and recommendations for U.S. food policy. PLoS One 2023; 18:e0289282. [PMID: 37939027 PMCID: PMC10631631 DOI: 10.1371/journal.pone.0289282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 07/14/2023] [Indexed: 11/10/2023] Open
Abstract
Extreme weather events are increasing in frequency and severity due to climate change, yet many of their impacts on human populations are not well understood. We examine the relationship between prior extreme weather events and food environment characteristics. To do so, we conduct a U.S. county-level analysis that assesses the association between extreme weather events and two common food retail environment dimensions. Overall, we find a relationship between higher levels of historic extreme weather exposure and lower food availability and accessibility. In addition, we find heterogeneity in association across the distribution of the number of extreme weather events and event type. Specifically, we find that more localized extreme weather events are more associated with a reduction of access and availability than broad geographic events. Our findings suggest that as extreme weather events amplify in intensity and increase in frequency, new approaches for mitigating less acute and longer-term impacts are needed to address how extreme weather may interact with and reinforce existing disparities in food environment factors. Furthermore, our research argues that integrated approaches to improving vulnerable food retail environments will become an important component of extreme weather planning and should be a consideration in both disaster- and food-related policy.
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Affiliation(s)
- Benjamin Scharadin
- Department of Economics, Colby College, Waterville, Maine, United States of America
| | - Chad Zanocco
- Department of Civil and Environmental Engineering, Stanford University, Stanford, California, United States of America
| | - Jacqueline Chistolini
- Department of Statistics, Colby College, Waterville, Maine, United States of America
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11
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Boise S, Crossa A, Etheredge AJ, McCulley EM, Lovasi GS. Concepts, Characterizations, and Cautions: A Public Health Guide and Glossary for Planning Food Environment Measurement. THE OPEN PUBLIC HEALTH JOURNAL 2023; 16:e187494452308210. [PMID: 38179222 PMCID: PMC10766432 DOI: 10.2174/18749445-v16-230821-2023-51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 01/06/2024]
Abstract
Background There is no singular approach to measuring the food environment suitable for all studies. Understanding terminology, methodology, and common issues is crucial to choosing the best approach. Objective This review is designed to support a shared understanding so diverse multi-institutional teams engaged in food environment measurement can justify their measurement choices and have informed discussions about reasons for measurement strategies to vary across projects. Methods This guide defines key terms and provides annotated resources identified as a useful starting point for exploring the food environment literature. The writing team was an academic-practice collaboration, reflecting on the experience of a multi-institutional team focused on retail environments across the US relevant to cardiovascular disease. Results Terms and annotated resources are divided into three sections: food environment constructs, classification and measures, and errors and strategies to reduce error. Two examples of methods and challenges encountered while measuring the food environment in the context of a US health department are provided. Researchers and practice professionals are directed to the Food Environment Electronic Database Directory (https://www.foodenvironmentdirectory.com/) for comparing available data resources for food environment measurement, focused on the US; this resource incorporates updates informed by user input and literature reviews. Discussion Measuring the food environment is complex and risks oversimplification. This guide serves as a starting point but only partially captures some aspects of neighborhood food environment measurement. Conclusions No single food environment measure or data source meets all research and practice objectives. This shared starting point can facilitate theoretically grounded food environment measurement.
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Affiliation(s)
- Sarah Boise
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia PA
- Penn Medicine Medical Group, University of Pennsylvania Health System, Penn Medicine
| | - Aldo Crossa
- Department of Health and Mental Hygiene, New York, NY
| | | | - Edwin M. McCulley
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia PA
| | - Gina S. Lovasi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia PA
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia PA
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12
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Williams LD, Kolak M, Villanueva C, Ompad DC, Tempalski B. Creation and Validation of a New Socio-built Environment Index Measure of Opioid Overdose Risk for Use in Both Non-urban and Urban Settings. J Urban Health 2023; 100:1048-1061. [PMID: 37550500 PMCID: PMC10618135 DOI: 10.1007/s11524-023-00754-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 08/09/2023]
Abstract
A great deal of literature has examined features of the physical built environment as predictors of opioid overdose and other substance use-related outcomes. Other literature suggests that social characteristics of settings are important predictors of substance use outcomes. However, there is a dearth of literature simultaneously measuring both physical and social characteristics of settings in an effort to better predict opioid overdose. There is also a dearth of literature examining built environment as a predictor of overdose in non-urban settings. The present study presents a novel socio-built environment index measure of opioid overdose risk comprised of indicators measuring both social and physical characteristics of settings - and developed for use in both urban and non-urban settings - and assesses its validity among 565 urban, suburban, and rural New Jersey municipalities. We found that this novel measure had good convergent validity, based on significant positive associations with a social vulnerability index and crime rates, and significant negative associations with a municipal revitalization index and high school graduation rates. The index measure had good discriminant validity, based on lack of association with three different racial isolation indices. Finally, our index measure had good health outcome-based criterion validity, based on significant positive associations with recent overdose mortality. There were no major differences between rural, suburban, and urban municipalities in validity analysis findings. This promising new socio-built environment risk index measure could improve ability to target and allocate resources to settings with the greatest risk, in order to improve their impact on overdose outcomes.
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Affiliation(s)
- Leslie D Williams
- Division of Community Health Sciences, University of Illinois at Chicago School of Public Health, Chicago, IL, United States.
| | - Marynia Kolak
- Department of Geography & Geographic Information Science, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | | | - Danielle C Ompad
- School of Global Public Health, New York University, New York, NY, United States
| | - Barbara Tempalski
- National Development and Research Institutes USA (NDRI-USA), New York, NY, United States
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13
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Titis E. Quantifying the Impact of Supermarket Distance on Childhood Obesity in Greater London, United Kingdom: Exploring Different Access Measures and Modification Effects of Transportation. Child Obes 2023; 19:479-488. [PMID: 36322899 DOI: 10.1089/chi.2022.0126] [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] [Indexed: 11/16/2022]
Abstract
Background: Healthy food access may be relevant for predicting trends in childhood obesity. The goal was to determine associations between childhood overweight (including obesity) and distance to three nearest supermarkets stratified by transportation modes (walking, cycling, driving). Methods: Bivariate and multivariate linear regressions examine the relationship with obesity, including interacting active and inactive modes. Results: Proximity to at least three supermarkets shows small but significant positive association with obesity. Walking mode showed higher obesity rates than driving, and distance was not related to the mode of travel. Conclusions: Disparities in healthy food access may not contribute meaningfully to childhood obesity, as other individual factors may be largely at play.
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Affiliation(s)
- Elzbieta Titis
- Warwick Institute for the Science of Cities, Department of Computer Science, University of Warwick, Coventry, United Kingdom
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14
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Wei L, Mackenbach JD, Poelman MP, Vermeulen R, Helbich M. A detour for snacks and beverages? A cross-sectional assessment of selective daily mobility bias in food outlet exposure along the commuting route and dietary intakes. Health Place 2023; 83:103088. [PMID: 37487258 DOI: 10.1016/j.healthplace.2023.103088] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/04/2023] [Accepted: 07/11/2023] [Indexed: 07/26/2023]
Abstract
The evidence of selective daily mobility bias distorting exposure-health associations is limited. Using 7-day smartphone-based global positioning system (GPS) tracking data for 67 Dutch adults aged 25-45, we conducted paired Wilcoxon tests to compare the absolute and relative exposure to food outlets along actual and modelled commuting routes. We fitted Tobit regressions to examine their associations with three daily snack and soft drink intake outcomes. We found significant differences in absolute food outlet exposure between two types of routes. Adjusted regression analyses yielded unexpected associations between dietary intakes and food outlet exposures. Our results suggested no evidence of a selective daily mobility bias in the association between the food environment along commuting routes and adults' snacks and soft drink consumption in this sample.
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Affiliation(s)
- Lai Wei
- Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, the Netherlands.
| | - Joreintje D Mackenbach
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands; Upstream Team, Amsterdam UMC, the Netherlands
| | - Maartje P Poelman
- Chair Group Consumption and Healthy Lifestyles, Wageningen University & Research, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, the Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, the Netherlands
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15
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Adeosun KP, Oosterveer P, Greene M. Informal ready-to-eat food vending governance in urban Nigeria: Formal and informal lenses guiding the practice. PLoS One 2023; 18:e0288499. [PMID: 37440492 DOI: 10.1371/journal.pone.0288499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
Informal ready-to-eat food vending is an important, cheap, convenient, accessible and readily available urban food supply sector that has become an increasingly important part of the diets of people in developing cities in Africa and throughout other contexts in the Global South. Over decades, despite challenges associated with health and hygiene, street foods have been informally accepted as part of the urban food supply system, particularly among the urban poor. Despite the importance of street foods to food security and employment needs in urban Nigeria and elsewhere, very little is known about the governance arrangements (whether formal or informal) revolving around their food provisioning practices. The paper explores governance arrangements that steer and shape food provisioning practices in Ibadan, Nigeria. Taking a social practice approach, the paper analyses the interconnections between governance and ready-to-eat food vending practices. It doing so, it draws on insights generated through a qualitative study incorporating in-depth interviews and participant observation methods to understand different governance arrangements revolving around food vending practices. The findings reveal that formal and informal governance structures are jointly steering and shaping practices of informal ready-to-eat food vending. They furthermore highlight the crucial role informal middlemen fulfill in informal food governance chains. These insights provide new avenues for thinking about food governance of urban food supply systems in terms of co-governance between formal and informal actors. They also provide empirical evidence that can aid policy application and implementation on urban food supply systems going forward. The paper concludes by discussing the potential of a co-governance informal food sector framework that recognizes and encompasses the formal-informal nature of the food sector. Such an approach recognizes and involves informal middlemen in the governance of informal ready-to-eat street food vending embedded in a larger framework of food system governance.
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Affiliation(s)
- Kehinde Paul Adeosun
- Environmental Policy Group, Wageningen University and Research Centre, Wageningen, The Netherlands
- Department of Agricultural Economics, University of Nigeria, Nsukka, Nigeria
| | - Peter Oosterveer
- Environmental Policy Group, Wageningen University and Research Centre, Wageningen, The Netherlands
| | - Mary Greene
- Environmental Policy Group, Wageningen University and Research Centre, Wageningen, The Netherlands
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16
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Coutinho SR, Andersen OK, Lien N, Gebremariam MK. Neighborhood deprivation, built environment, and overweight in adolescents in the city of Oslo. BMC Public Health 2023; 23:812. [PMID: 37138266 PMCID: PMC10155174 DOI: 10.1186/s12889-023-15261-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/10/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Even though the social and built environment characteristics of neighborhoods have been studied as potential determinants of social inequalities in obesity among adults, fewer studies have focused on children. Our first aim was to investigate whether there were differences in the food and physical activity environments between different neighborhood deprivation levels in the city of Oslo. We also explored whether there was an association between the prevalence of overweight (including obesity) among adolescents and (i) neighborhood deprivation levels and (ii) food and physical activity environments of the neighborhoods they live in. METHODS We conducted a food and physical activity environment mapping (using ArcGIS Pro) in all neighborhoods of Oslo, which were defined by administrative boundaries (sub-districts). The neighborhood deprivation score was calculated based on the percentage of households living in poverty, unemployment in the neighborhood, and residents with low education. A cross-sectional study including 802 seventh graders from 28 primary schools in Oslo residing in 75 out of 97 sub-districts in Oslo was also performed. MANCOVA and partial correlations were ran to compare the built environment distribution between different neighborhood deprivation levels, and multilevel logistic regression analyses were used to explore the effect of neighborhood deprivation and the food and physical activity environments on childhood overweight. RESULTS We found that deprived neighborhoods had greater availability of fast food restaurants and fewer indoor recreational facilities compared to low-deprived neighborhoods. Additionally, we observed that the residential neighborhoods of the adolescents with overweight had greater availability of grocery and convenience stores when compared to the residential neighborhoods of the adolescents without overweight. Adolescents living in neighborhoods with high deprivation had a two-fold higher odds (95% CI = 1.1-3.8) to have overweight compared to adolescents living in neighborhoods with low deprivation, regardless of participants' ethnicity and parental education. However, the built environment did not determine the relationship between neighborhood deprivation and overweight in adolescents. CONCLUSION The neighborhoods in Oslo with higher deprivation levels had more obesogenic characteristics than the low-deprived neighborhoods. Adolescents living in high-deprived neighborhoods were more likely to have overweight than their counterparts from low-deprived neighborhoods. Thus, preventive measures targeting adolescents from high-deprived neighborhoods should be put in place in order to reduce incidence of overweight.
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Affiliation(s)
| | | | - Nanna Lien
- Department of Nutrition, University of Oslo, Oslo, Norway
| | - Mekdes K Gebremariam
- Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
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17
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The moderating role of eating behaviour traits in the association between exposure to hot food takeaway outlets and body fatness. Int J Obes (Lond) 2023; 47:496-504. [PMID: 36918687 DOI: 10.1038/s41366-023-01290-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/21/2023] [Accepted: 02/28/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND Previous studies demonstrated a relation between takeaway outlet exposure and health outcomes. Individual characteristics, such as eating behaviour traits, could make some people more susceptible to the influence of the food environment. Few studies have investigated this topic. We aimed to investigate the moderating role of eating behaviour traits (cognitive restraint, uncontrolled eating and emotional eating) in the association between neighbourhood exposure to hot food takeaway outlets (hereafter referred to as takeaway outlets), and takeaway food consumption and adiposity. METHODS We used cross-sectional data from a cohort in Cambridgeshire, UK (The Fenland study). Takeaway outlet exposure was derived using participants' residential address and data from local authorities and divided into quarters. The Three Factor Eating questionnaire (TFEQ-R18) was used to measure eating behaviour traits. Primary outcomes were consumption of takeaway-like foods (derived from food frequency questionnaire), and body fat percentage (measured using dual-energy X-ray absorptiometry). RESULTS Mean age of participants (n = 4791) was 51.0 (SD = 7.2) and 53.9% were female. Higher exposure to takeaway outlets in the neighbourhood and higher eating behaviour trait scores were independently associated with greater takeaway consumption and body fat percentage. Uncontrolled eating did not moderate the associations between takeaway outlet exposure and takeaway consumption or body fat percentage. The association between takeaway outlet exposure and takeaway consumption was slightly stronger in those with higher cognitive restraint scores, and the association between takeaway outlet exposure and body fat percentage was slightly stronger in those with lower emotional eating scores. CONCLUSION Eating behaviour traits and exposure to takeaway outlets were associated with greater takeaway consumption and body fat, but evidence that individuals with certain traits are more susceptible to takeaway outlets was weak. The findings indicate that interventions at both the individual and environmental levels are needed to comprehensively address unhealthy diets. TRIAL REGISTRY ISRCTN72077169.
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18
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Mackenbach JD, Widener MJ, van der Gaag E, Pinho MG. Survey-derived activity space-based exposures to fast food outlets and their cross-sectional associations with use of fast food outlets, diet quality and BMI. Health Place 2023; 79:102966. [PMID: 36608585 DOI: 10.1016/j.healthplace.2023.102966] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 01/06/2023]
Abstract
There is a need for conceptual and methodological innovation in food environment-health research. We compared different operationalizations of survey-derived activity space exposures to fast food outlets (FFOs) in associations with use of FFO, diet quality and body mass index (BMI). FFO exposure was determined for home, work and a maximum of sixteen other locations reported by 1728 Dutch adults. Considerable differences in count of FFO between locations were found. Adjusted linear regression analyses resulted in small, unexpected associations with use of FFO, diet quality and BMI, whereby the strength of associations differed between exposure measures. Using home and work areas may be a cost-efficient compromise to capture large parts of the exposure to FFOs.
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Affiliation(s)
- Joreintje D Mackenbach
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands; Upstream Team, Amsterdam UMC, Netherlands.
| | - Michael J Widener
- Department of Geography and Planning, University of Toronto - St George, Toronto, Canada
| | - Emilie van der Gaag
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands
| | - Maria Gm Pinho
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands; Upstream Team, Amsterdam UMC, Netherlands
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19
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Agarwal S, Fertig AR, Trofholz AC, Tate AD, Robinson J, Berge JM. Exploring the associations between neighbourhood food environment, household food insecurity and child weight-related outcomes in socio-economically and racially/ethnically diverse families. Public Health Nutr 2022; 25:1-10. [PMID: 36210770 PMCID: PMC9991713 DOI: 10.1017/s1368980022002130] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/15/2022] [Accepted: 09/23/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To examine associations among neighbourhood food environments (NFE), household food insecurity (HFI) and child's weight-related outcomes in a racially/ethnically diverse sample of US-born and immigrant/refugee families. DESIGN This cross-sectional, observational study involving individual and geographic-level data used multilevel models to estimate associations between neighbourhood food environment and child outcomes. Interactions between HFI and NFE were employed to determine whether HFI moderated the association between NFE and child outcomes and whether the associations differed for US-born v. immigrant/refugee groups. SETTING The sample resided in 367 census tracts in the Minneapolis/St. Paul, MN metropolitan area, and the data were collected in 2016-2019. PARTICIPANTS The sample was from the Family Matters study of families (n 1296) with children from six racial/ethnic and immigrant/refugee groups (African American, Latino, Hmong, Native American, Somali/Ethiopian and White). RESULTS Living in a neighbourhood with low perceived access to affordable fresh fruits and vegetables was found to be associated with lower food security (P < 0·01), poorer child diet quality (P < 0·01) and reduced availability of a variety of fruits (P < 0·01), vegetables (P < 0·05) and whole grains in the home (P < 0·01). Moreover, residing in a food desert was found to be associated with a higher child BMI percentile if the child's household was food insecure (P < 0·05). No differences in associations were found for immigrant/refugee groups. CONCLUSIONS Poor NFE were associated with worse weight-related outcomes for children; the association with weight was more pronounced among children with HFI. Interventions aiming to improve child weight-related outcomes should consider both NFE and HFI.
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Affiliation(s)
- Sarthak Agarwal
- Humphrey School of Public Affairs, University of Minnesota, 130 Hubert H. Humphrey Center, 301 19th Ave South, Minneapolis, MN55455, USA
| | - Angela R Fertig
- Humphrey School of Public Affairs, University of Minnesota, 130 Hubert H. Humphrey Center, 301 19th Ave South, Minneapolis, MN55455, USA
| | - Amanda C Trofholz
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Allan D Tate
- College of Public Health, University of Georgia, Athens, GA, USA
| | - Jenna Robinson
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jerica M Berge
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA
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20
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Isaacs A, Halligan J, Neve K, Hawkes C. From healthy food environments to healthy wellbeing environments: Policy insights from a focused ethnography with low-income parents' in England. Health Place 2022; 77:102862. [PMID: 35926370 DOI: 10.1016/j.healthplace.2022.102862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 05/31/2022] [Accepted: 07/01/2022] [Indexed: 12/30/2022]
Abstract
Overweight and obesity continue to increase globally. In England, as in many other countries, this disproportionately affects people who experience socioeconomic deprivation. One factor blamed for inequalities in obesity is unhealthy food provisioning environments (FPEs), leading to a focus on policies and interventions to change FPEs. This paper aims to provide insights into how FPE policies could more effectively tackle inequalities in obesity by addressing a key research gap: how the structural contexts in which people live their lives influence their interaction with their FPEs. It aims to understand how low-income families engage with FPEs through in-depth focused ethnographic research with 60 parents across three locations in England: Great Yarmouth, Stoke-on-Trent, and the London Borough of Lewisham. Analysis was guided by sociological perspectives. FPEs simultaneously push low-income families towards unhealthy products while supporting multiple other family needs, such as social wellbeing. FPE policies and interventions to address obesity must acknowledge this challenge and consider not just the makeup of FPEs themselves but how various structural contexts shape how people come to use them.
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Affiliation(s)
- Anna Isaacs
- Centre for Food Policy, City University of London, UK.
| | - Joel Halligan
- Centre for Food Policy, City University of London, UK
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21
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Serafim P, Borges CA, Cabral-Miranda W, Jaime PC. Ultra-Processed Food Availability and Sociodemographic Associated Factors in a Brazilian Municipality. Front Nutr 2022; 9:858089. [PMID: 35529462 PMCID: PMC9067397 DOI: 10.3389/fnut.2022.858089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/14/2022] [Indexed: 12/25/2022] Open
Abstract
The availability of ultra-processed foods in a municipality tends to be related to different types of food retailers and their location in the territory, besides social, economic, and demographic factors. The aim of this study was to evaluate the availability of ultra-processed foods according to different types of food retailers and sociodemographic factors. This is a cross-sectional observational study carried out with audit data from food retailers in the municipality of Jundiaí, SP. Using a validated instrument, data on the availability of 18 types of ultra-processed foods were used to create a score of ultra-processed foods, ranging from 0 to 100 points, and five subscores referring to the ultra-processed food subgroups. Descriptive statistics and means comparison tests were performed to verify differences in the ultra-processed food availability score, according to the food retail type, household income, number of household members, and percentage of people of the color population in the census tract in which food retailers were located. Geo-referenced maps were used to characterize the score of ultra-processed in the territory, according to sociodemographic variables. A total of 649 food retailers were analyzed, most of which were classified as neighborhood markets (25.4%). The supermarkets were the category with the highest ultra-processed food availability score. Among the subgroups of ultra-processed foods analyzed, candies, soft drinks, and snacks were available in 60% of the food retailers. Higher ultra-processed food availability score was observed in regions with lower income, higher percentage of people of color population, and higher number of members per household. The findings show that the greater availability of ultra-processed foods is related to supermarkets and markets and regions of greater social vulnerability, which can put this population at nutritional risk.
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Affiliation(s)
- Patricia Serafim
- Post-Graduate Program in Nutrition and Public Health, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Camila Aparecida Borges
- Center for Epidemiological Research in Nutrition and Health (NUPENS), University of São Paulo, São Paulo, Brazil
| | - William Cabral-Miranda
- Faculty of Philosophy, Letters and Human Sciences, University of São Paulo, São Paulo, Brazil
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22
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Li X, Braakhuis A, Li Z, Roy R. How Does the University Food Environment Impact Student Dietary Behaviors? A Systematic Review. Front Nutr 2022; 9:840818. [PMID: 35571951 PMCID: PMC9090611 DOI: 10.3389/fnut.2022.840818] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/10/2022] [Indexed: 11/13/2022] Open
Abstract
The food environment has been implicated in creating an obesogenic generation; and while previous research has focused on population-wide initiatives, the university population resides in a research gap. To explore detailed components of the university food environment and what shaped dietary behaviors, we retrieved literature from the following databases: ScienceDirect, Scopus, PubMed, Medline, and EMBASE. Eleven studies were identified for qualitative content analysis and study quality assessment identified most of the studies as of good quality (n 8) and some as of fair quality (n 3). The certainty of evidence remained at a low level for all (n 11) studies due to the cross-sectional, observational nature of studies. Three major themes emerged: (1) food environment, (2) student perceptions (SPs), and (3) dietary outcome (DO). In a university food environment, the taste of food was paramount for the food choices of students, followed by the availability of food and the price of food. When university students perceive and choose foods and beverages, they sometimes regard unhealthy foods and beverages as healthy options. The diet quality of university students is more susceptible to living arrangements and socioeconomic status, but higher salt, fat, and added sugar consumption generally resulted in poorer quality of diet on campus. Future research could use novel methods to explore a wider range and deeper level of students' dietary behavior determinants in university food environments.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier: CRD42021283562.
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Affiliation(s)
- Xingbo Li
- The University of Auckland, Auckland, New Zealand
- The First Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Zengning Li
- The First Hospital of Hebei Medical University, Shijiazhuang, China
- *Correspondence: Zengning Li
| | - Rajshri Roy
- The University of Auckland, Auckland, New Zealand
- Rajshri Roy
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23
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Titis E, Procter R, Walasek L. Assessing physical access to healthy food across United Kingdom: A systematic review of measures and findings. Obes Sci Pract 2022; 8:233-246. [PMID: 35388348 PMCID: PMC8976549 DOI: 10.1002/osp4.563] [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: 02/18/2021] [Revised: 08/16/2021] [Accepted: 08/24/2021] [Indexed: 11/09/2022] Open
Abstract
Background Existing research suggests that physical access to food can affect diet quality and thus obesity rates. When defining retail food environment (RFE) quantitatively, there is a little agreement on how to measure "lack of healthy food" and what parameters to use, resulting in a heterogeneity of study designs and outcome measures. In turn, this leads to a conflicting evidence base being one of the many barriers to using evidence in policy-making. Aims This systematic review aimed to identify and describe methods used to assess food accessibility in the United Kingdom (UK) to overcome heterogeneity by providing a classification of measures. Materials & Methods The literature search included electronic and manual searches of peer-reviewed literature and was restricted to studies published in English between January 2010 and March 2021. A total of 9365 articles were assessed for eligibility, of which 44 articles were included in the review. All included studies were analysed with regards to their main characteristics (e.g., associations between variables of interest, setting, sample, design, etc.) and definition of RFE and its metrics. When defining these metrics, the present review distinguishes between a point of origin (centroid, address) from which distance was calculated, summary statistic of accessibility (proximity, buffer, Kernel), and definition of distance (Euclidean, network distance). Trends, gaps and limitations are identified and recommendations made for food accessibility research in UK. Results Multiple theoretical and methodological constructs are currently used, mostly quantifying distance by means of Euclidean and ring-buffer distance, using both proximity- and density-based approaches, and ranging from absolute to relative measures. The association between RFE and diet and health in rural areas, as well as a spatiotemporal domain of food access, remains largely unaccounted. Discussion Evidence suggests that the duration of exposure may bear a greater importance than the level of exposure and that density-based measures may better capture RFE when compared with proximity-based measures, however, using more complex measures not necessarily produce better results. To move the field forward, studies have called for a greater focus on causality, individual access and the use of various measures, neighbourhood definitions and potential confounders to capture different aspects and dimensions of the RFE, which requires using univariate measures of accessibility and considering the overall context in terms of varying types of neighbourhoods. Conclusion In order to render ongoing heterogeneity in measuring RFE, researchers should prioritise measures that may provide a more accurate and realistic account of people's lives and follow an intuitive approach based on convergence of results until consensus could be reached on using some useful standards.
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Affiliation(s)
- Elzbieta Titis
- Department of Computer ScienceWarwick Institute for the Science of CitiesUniversity of WarwickCoventryUK
| | - Rob Procter
- Department of Computer ScienceUniversity of WarwickCoventryUK
- Alan Turing InstituteLondonUK
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24
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An Analysis of Food Accessibility of Mountain Cities in China: A Case Study of Chongqing. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12073236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Mountain cities are characterized by undulating terrain, complex road networks, and diverse road facilities, which makes accessing food more difficult than in cities with a flat terrain. This study proposes an enhanced two-step method based on the Baidu map service for the construction of supermarket–market–retail food sales architecture and for calculating food accessibility. The accessibility indices of seven major food categories (grains and oils, fruits, vegetables, seafood, meat, milk, and eggs) were calculated considering the principle of the fairest walking routes in Chongqing. The correlations between food accessibility and house price and house age in Chongqing were explored through local Moran’s analysis and geographically weighted regression. The correlations illustrated the fairness of the distribution of food accessibility in Chongqing among the poor and rich. The experiments showed generally well-developed food accessibility in the main urban areas of Chongqing. However, accessibility to fresh fruits and vegetables lagged in newly built urban areas.
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25
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Pinho MGM, Lakerveld J, Harbers MC, Sluijs I, Vermeulen R, Huss A, Boer JMA, Verschuren WMM, Brug J, Beulens JWJ, Mackenbach JD. Ultra-processed food consumption patterns among older adults in the Netherlands and the role of the food environment. Eur J Nutr 2021; 60:2567-2580. [PMID: 33236180 PMCID: PMC8275501 DOI: 10.1007/s00394-020-02436-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/29/2020] [Indexed: 12/11/2022]
Abstract
PURPOSE To describe the patterns of ultra-processed foods (UPFs) consumption in the Netherlands; to test if exposure to the food environment is associated with UPFs consumption; and if this association differed across educational levels and neighbourhood urbanisation. METHODS Cross-sectional study using 2015-data of 8104 older adults from the Dutch EPIC cohort. Proportion of UPFs consumption was calculated from a validated food-frequency questionnaire. Exposure to the food environment was defined as proximity and availability of supermarkets, fast-food restaurants, full-service restaurants, convenience stores, candy stores and cafés. Consumption of UPFs was expressed as both percentage of total grams and total kilocalories. RESULTS The study population was aged 70(± 10 SD) years and 80.5% was female. Average UPFs consumption was 17.8% of total food intake in grams and 37% of total energy intake. Those who consumed greater amounts of UPFs had a poorer overall diet quality. Adjusted linear regression models showed that closer proximity and larger availability to any type of food retailer was associated with lower UPFs consumption (both in grams and kilocalories). Somewhat stronger significant associations were found for proximity to restaurants (β = - 1.6%, 95% confidence interval (CI) = - 2.6; - 0.6), and supermarkets (β = - 2.2%, 95%CI = - 3.3; - 1.1); i.e., Individuals living within 500 m from the closest supermarket, as compared to 1500 m, had 2.6% less calories from UPFs. No differences were found on analyses stratified for urbanisation and education. CONCLUSIONS Using various measures of exposure to the food environment, we found that exposure to restaurants and supermarkets was associated with somewhat lower consumption of UPFs.
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Affiliation(s)
- Maria Gabriela M Pinho
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands.
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands.
| | - Jeroen Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
| | - Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - Johannes Brug
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV, Amsterdam, The Netherlands
| | - Joline W J Beulens
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Joreintje D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands
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26
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Marek L, Hobbs M, Wiki J, Kingham S, Campbell M. The good, the bad, and the environment: developing an area-based measure of access to health-promoting and health-constraining environments in New Zealand. Int J Health Geogr 2021; 20:16. [PMID: 33823853 PMCID: PMC8025579 DOI: 10.1186/s12942-021-00269-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/17/2021] [Indexed: 02/07/2023] Open
Abstract
Background Accounting for the co-occurrence of multiple environmental influences is a more accurate reflection of population exposure than considering isolated influences, aiding in understanding the complex interactions between environments, behaviour and health. This study examines how environmental ‘goods’ such as green spaces and environmental ‘bads’ such as alcohol outlets co-occur to develop a nationwide area-level healthy location index (HLI) for New Zealand. Methods Nationwide data were collected, processed, and geocoded on a comprehensive range of environmental exposures. Health-constraining ‘bads’ were represented by: (i) fast-food outlets, (ii) takeaway outlets, (iii) dairy outlets and convenience stores, (iv) alcohol outlets, (v) and gaming venues. Health-promoting ‘goods’ were represented by: (i) green spaces, (ii) blue spaces, (iii) physical activity facilities, (iv) fruit and vegetable outlets, and (v) supermarkets. The HLI was developed based on ranked access to environmental domains. The HLI was then used to investigate socio-spatial patterning by area-level deprivation and rural/urban classification. Results Results showed environmental ‘goods’ and ‘bads’ co-occurred together and were patterned by area-level deprivation. The novel HLI shows that the most deprived areas of New Zealand often have the most environmental ‘bads’ and less access to environmental ‘goods’. Conclusions The index, that is now publicly available, is able to capture both inter-regional and local variations in accessibility to health-promoting and health-constraining environments and their combination. Results in this study further reinforce the need to embrace the multidimensional nature of neighbourhood and place not only when designing health-promoting places, but also when studying the effect of existing built environments on population health. Supplementary Information The online version contains supplementary material available at 10.1186/s12942-021-00269-x.
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Affiliation(s)
- Lukas Marek
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.
| | - Matthew Hobbs
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Health Sciences, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Jesse Wiki
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand
| | - Simon Kingham
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Earth and Environment, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Malcolm Campbell
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Earth and Environment, University of Canterbury, Christchurch, Canterbury, New Zealand
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Toure D, Herforth A, Pelto GH, Neufeld LM, Mbuya MNN. An Emergent Framework of the Market Food Environment in Low- and Middle-Income Countries. Curr Dev Nutr 2021; 5:nzab023. [PMID: 33948531 PMCID: PMC8075774 DOI: 10.1093/cdn/nzab023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/28/2021] [Accepted: 03/09/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Food systems are increasingly recognized as critical for advancing nutrition, and the food environment is viewed as the nexus between those systems and dietary consumption. Developing a measurement framework of the market food environment is a research priority, particularly for low- and middle-income countries (LMICs), which face rapid shifts in markets, dietary patterns, and nutrition outcomes. OBJECTIVES In this study, we sought to assess current conceptions and measures of the market food environment that could be adapted for use in LMICs. METHODS We conducted a narrative review of the literature to identify measures of the market food environment in recent use. First, we identified and reviewed frameworks of the food environment for LMICs with a specific focus on the market food environment. Second, we compiled 141 unique measures of the market food environment from 20 articles into a list that was pile-sorted by 5 nutrition experts into domains. We then categorized the measures based on percentage agreement across all sorts. Finally, we compared measured and conceptual domains of the market food environment to identify measurement gaps and needed adaptations. RESULTS Conceptual frameworks provide differing definitions of the market food environment but conform in their definitions of food availability, price, marketing, and product characteristics. Greater clarity is needed in defining relevant vendor and product characteristics. Eight measured domains of the market food environment emerged from the literature review, with significant overlap among conceptual domains. Measurement gaps exist for food quality, safety, packaging, desirability, and convenience. Personal characteristics also emerged as measured domains, although these are not part of the food environment per se. CONCLUSIONS These results are a step toward elucidating how, why, and where we measure the market food environment in LMICs. Future research should focus on prioritizing the most meaningful methods and metrics and on developing new measures where gaps exist.
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Affiliation(s)
- Djeinam Toure
- Global Alliance for Improved Nutrition, Washington, DC, USA
- Helen Keller International, Dakar, Senegal
| | - Anna Herforth
- Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Gretel H Pelto
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
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Burgoine T, Monsivais P, Sharp SJ, Forouhi NG, Wareham NJ. Independent and combined associations between fast-food outlet exposure and genetic risk for obesity: a population-based, cross-sectional study in the UK. BMC Med 2021; 19:49. [PMID: 33588846 PMCID: PMC7885578 DOI: 10.1186/s12916-021-01902-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/05/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Characteristics of the built environment, such as neighbourhood fast-food outlet exposure, are increasingly recognised as risk factors for unhealthy diet and obesity. Obesity also has a genetic component, with common genetic variants explaining a substantial proportion of population-level obesity susceptibility. However, it is not known whether and to what extent associations between fast-food outlet exposure and body weight are modified by genetic predisposition to obesity. METHODS We used data from the Fenland Study, a population-based sample of 12,435 UK adults (mean age 48.6 years). We derived a genetic risk score associated with BMI (BMI-GRS) from 96 BMI-associated single nucleotide polymorphisms. Neighbourhood fast-food exposure was defined as quartiles of counts of outlets around the home address. We used multivariable regression models to estimate the associations of each exposure, independently and in combination, with measured BMI, overweight and obesity, and investigated interactions. RESULTS We found independent associations between BMI-GRS and risk of overweight (RR = 1.34, 95% CI 1.23-1.47) and obesity (RR = 1.73, 95% CI 1.55-1.93), and between fast-food outlet exposure and risk of obesity (highest vs lowest quartile RR = 1.58, 95% CI 1.21-2.05). There was no evidence of an interaction of fast-food outlet exposure and genetic risk on BMI (P = 0.09), risk of overweight (P = 0.51), or risk of obesity (P = 0.27). The combination of higher BMI-GRS and highest fast-food outlet exposure was associated with 2.70 (95% CI 1.99-3.66) times greater risk of obesity. CONCLUSIONS Our study demonstrated independent associations of both genetic obesity risk and neighbourhood fast-food outlet exposure with adiposity. These important drivers of the obesity epidemic have to date been studied in isolation. Neighbourhood fast-food outlet exposure remains a potential target of policy intervention to prevent obesity and promote the public's health.
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Affiliation(s)
- Thomas Burgoine
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
| | - Pablo Monsivais
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Present address: Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | - Stephen J Sharp
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Nita G Forouhi
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Nicholas J Wareham
- UKCRC Centre for Diet and Activity Research (CEDAR), 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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Dunn RA, Nayga RM, Thomsen MR, Rouse HL. A longitudinal analysis of fast-food exposure on child weight outcomes: Identifying causality through school transitions. Q OPEN 2021; 1:qoaa007. [PMID: 33748759 PMCID: PMC7958296 DOI: 10.1093/qopen/qoaa007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 11/20/2020] [Indexed: 11/14/2022]
Abstract
This article investigates the effect of fast-food availability on childhood weight outcomes by gender, race, and location. We use a novel identification strategy based on changes in fast-food exposure along the route between the home and school that occur as students progress through the public school system and transition to different types of schools, e.g. from elementary school to intermediate school or from intermediate school to high school. Using a longitudinal census of height and weight for public school students in Arkansas, we find no evidence that changes in fast-food exposure are associated with changes in body mass index z-score for any student subpopulation.
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Affiliation(s)
- Richard A Dunn
- Department of Agricultural and Resource Economics, University of Connecticut, Storrs, CT 06269-4021, USA
| | - Rodolfo M Nayga
- Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 72701, USA
| | - Michael R Thomsen
- Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 72701, USA
| | - Heather L Rouse
- Department of Human Development and Family Studies, Iowa State University, Ames, IA 50011, USA
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30
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Hawkes C, Fox E, Downs SM, Fanzo J, Neve K. Child-centered food systems: Reorienting food systems towards healthy diets for children. GLOBAL FOOD SECURITY 2020. [DOI: 10.1016/j.gfs.2020.100414] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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How Neighbourhood Food Environments and a Pay-as-You-Throw (PAYT) Waste Program Impact Household Food Waste Disposal in the City of Toronto. SUSTAINABILITY 2020. [DOI: 10.3390/su12177016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Household food waste has negative, and largely unnecessary, environmental, social and economic impacts. A better understanding of current household food waste disposal is needed to help develop and implement effective interventions to reduce food wasting. A four-season waste characterization study was undertaken with 200 single-family households across eight neighbourhoods in Toronto, Ontario, Canada. The City of Toronto provides residents with a pay-as-you-throw (PAYT) waste program that includes a choice of four garbage cart sizes (Small [S], Medium [M], Large [L], Extra Large [XL]), with increasing annual user fees ($18.00–$411.00 CAD), as well as a green cart (organic waste) and blue cart (recycling). On average, each household disposed 4.22 kg/week of total food waste, 69.90% of which was disposed in the green cart, and disposal increased significantly (p = 0.03) by garbage cart size to L but not XL garbage carts. Of this total, 61.78% consisted of avoidable food waste, annually valued at $630.00–$847.00 CAD/household. Toronto’s PAYT waste program has been effective at diverting food waste into the green cart but not at reducing its generation. Higher median incomes were positively correlated, while higher neighbourhood dwelling and population density were negatively correlated, with total and avoidable food waste disposal. Regression analyses explained 40–67% of the variance in total avoidable food waste disposal. Higher supermarket density and distance to healthier food outlets were associated with more, while dwelling density was related to less, total and avoidable food waste disposal. Distance to fast food restaurants and less healthy food outlet density were both negatively associated with avoidable food waste disposal in the garbage and green cart, respectively. Avoidable food waste reduction interventions could include increasing garbage cart fees, weight-based PAYT, or messaging to households on the monetary value of avoidable food waste, and working with food retailers to improve how households shop for their food.
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32
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O'Malley CL, Lake AA, Townshend TG, Moore HJ. Exploring the fast food and planning appeals system in England and Wales: decisions made by the Planning Inspectorate (PINS). Perspect Public Health 2020; 141:269-278. [PMID: 32580644 PMCID: PMC8392781 DOI: 10.1177/1757913920924424] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: The National Planning Policy Framework advocates the promotion of ‘healthy communities’. Controlling availability and accessibility of hot food takeaways is a strategy which the planning system may use to promote healthier environments. Under certain circumstances, for example, local authorities can reject applications for new hot food takeaways. However, these decisions are often subject to appeal. The National Planning Inspectorate decide appeals – by upholding or dismissing cases. The aim of this research is to explore and examine the National Planning Inspectorate’s decision-making. Methods: The appeals database finder was searched to identify hot food takeaway appeal cases. Thematic analysis of appeals data was carried out. Narrative synthesis provided an overview of the appeals process and explored factors that were seen to impact on the National Planning Inspectorate’s decision-making processes. Results: The database search identified 52 appeals cases. Results suggest there is little research in this area and the appeals process is opaque. There appears to be minimal evidence to support associations between the food environment and health and a lack of policy guidance to inform local planning decisions. Furthermore, this research has identified non-evidence-based factors that influence the National Planning Inspectorate’s decisions. Conclusion: Results from this research will provide public health officers, policy planners and development control planners with applied public health research knowledge from which they can draw upon to make sound decisions in evaluating evidence to ensure they are successfully equipped to deal with and defend hot food takeaway appeal cases.
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Affiliation(s)
- C L O'Malley
- School of Health & Life Sciences, Teesside University, Middlesbrough, UK; Fuse, UKCRC Centre for Translational Research in Public Health, Newcastle University, Newcastle upon Tyne, UK
| | - A A Lake
- School of Health & Life Sciences, Teesside University, Middlesbrough, TS1 3BA, UK.,Fuse, UKCRC Centre for Translational Research in Public Health, Newcastle University, Newcastle upon Tyne, UK
| | - T G Townshend
- School of Architecture, Planning & Landscape, Newcastle University, Newcastle upon Tyne, UK.,Fuse, UKCRC Centre for Translational Research in Public Health, Newcastle University, Newcastle upon Tyne, UK
| | - H J Moore
- School of Social Sciences, Humanities & Law, Teesside University, Middlesbrough, UK.,Fuse, UKCRC Centre for Translational Research in Public Health, Newcastle University, Newcastle upon Tyne, UK
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Franco JV, Garcia MT, Canella DS, Louzada IDR, Bógus CM. Food environment at subway stations: a study in the municipality of São Paulo, Brazil. CIENCIA & SAUDE COLETIVA 2020; 26:3187-3198. [PMID: 34378708 DOI: 10.1590/1413-81232021268.09422020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 06/11/2020] [Indexed: 11/21/2022] Open
Abstract
This study aimed to characterize the food environment within subway stations in São Paulo and describe the availability of food and drinks according to the social vulnerability of the area where the stations are located. A cross-sectional study was carried out involving 19 subway stations, and checklist instruments were used to audit outlets and vending machines. The São Paulo Social Vulnerability Index was adopted to characterize the location of the stations. Sixty-six outlets were found. The median of outlets per station was the same in all categories of the territory's social vulnerability (median=2 establishments/station). The most frequent types of food sold were convenience foods, present in all of the outlets. The territory's vulnerability did not result in a difference in the availability of healthy and unhealthy marker foods. The food environment at subway stations is marked by the high availability of ultra-processed food and drinks at all outlets.
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Affiliation(s)
- Jessica Vaz Franco
- Departamento de Política, Gestão e Saúde, Faculdade de Saúde Pública, Universidade de São Paulo (USP). Av. Doutor Arnaldo 715, Cerqueira César. 01246-904 São Paulo SP Brasil.
| | | | - Daniela Silva Canella
- Departamento de Nutrição Aplicada, Instituto de Nutrição, Universidade de Estado do Rio de Janeiro. Rio de Janeiro RJ Brasil
| | | | - Cláudia Maria Bógus
- Departamento de Política, Gestão e Saúde, Faculdade de Saúde Pública, Universidade de São Paulo (USP). Av. Doutor Arnaldo 715, Cerqueira César. 01246-904 São Paulo SP Brasil.
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Vonthron S, Perrin C, Soulard CT. Foodscape: A scoping review and a research agenda for food security-related studies. PLoS One 2020; 15:e0233218. [PMID: 32433690 PMCID: PMC7239489 DOI: 10.1371/journal.pone.0233218] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 04/30/2020] [Indexed: 11/18/2022] Open
Abstract
Since 1995, the term ‘foodscape’, a contraction of food and landscape, has been used in various research addressing social and spatial disparities in public health and food systems. This article presents a scoping review of the literature examining how this term is employed and framed. We searched publications using the term foodscape in the Web of Science Core Collection, MEDLINE, and Scopus databases. Analyzing 140 publications, we highlight four approaches to the foodscape: (i) Spatial approaches use statistics and spatial analysis to characterize the diversity of urban foodscapes and their impacts on diet and health, at city or neighborhood scales. (ii) Social and cultural approaches at the same scales show that foodscapes are socially shaped and highlight structural inequalities by combining qualitative case studies and quantitative surveys of food procurement practices. (iii) Behavioral approaches generally focus on indoor micro-scales, showing how consumer perceptions of foodscapes explain and determine food behaviors and food education. (iv) Systemic approaches contest the global corporate food regime and promote local, ethical, and sustainable food networks. Thus, although spatial analysis was the first approach to foodscapes, sociocultural, behavioral and systemic approaches are becoming more common. In the spatial approach, the term ‘foodscape’ is synonymous with ‘food environment’. In the three other approaches, ‘foodscape’ and ‘food environment’ are not synonymous. Scholars consider that the foodscape is not an environment external to individuals but a landscape including, perceived, and socially shaped by individuals and policies. They share a systemic way of thinking, considering culture and experience of food as key to improving our understanding of how food systems affect people. Foodscape studies principally address three issues: public health, social justice, and sustainability. The review concludes with a research agenda, arguing that people-based and place-based approaches need to be combined to tackle the complexity of the food-people-territory nexus.
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Affiliation(s)
- Simon Vonthron
- INNOVATION, Univ Montpellier, INRAE, CIRAD, Montpellier SupAgro, Montpellier, France
- * E-mail:
| | - Coline Perrin
- INNOVATION, Univ Montpellier, INRAE, CIRAD, Montpellier SupAgro, Montpellier, France
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Mizen A, Fry R, Rodgers S. GIS-modelled built-environment exposures reflecting daily mobility for applications in child health research. Int J Health Geogr 2020; 19:12. [PMID: 32276644 PMCID: PMC7147039 DOI: 10.1186/s12942-020-00208-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 04/01/2020] [Indexed: 11/12/2022] Open
Abstract
Background Inaccurately modelled environmental exposures may have important implications for evidence-based policy targeting health promoting or hazardous facilities. Travel routes modelled using GIS generally use shortest network distances or Euclidean buffers to represent journeys with corresponding built-environment exposures calculated along these routes. These methods, however, are an unreliable proxy for calculating child built-environment exposures as child route choice is more complex than shortest network routes. Methods We hypothesised that a GIS model informed by characteristics of the built-environment known to influence child route choice could be developed to more accurately model exposures. Using GPS-derived walking commutes to and from school we used logistic regression models to highlight built-environment features important in child route choice (e.g. road type, traffic light count). We then recalculated walking commute routes using a weighted network to incorporate built-environment features. Multilevel regression analyses were used to validate exposure predictions to the retail food environment along the different routing methods. Results Children chose routes with more traffic lights and residential roads compared to the modelled shortest network routes. Compared to standard shortest network routes, the GPS-informed weighted network enabled GIS-based walking commutes to be derived with more than three times greater accuracy (38%) for the route to school and more than 12 times greater accuracy (92%) for the route home. Conclusions This research advocates using weighted GIS networks to accurately reflect child walking journeys to school. The improved accuracy in route modelling has in turn improved estimates of children’s exposures to potentially hazardous features in the environment. Further research is needed to explore if the built-environment features are important internationally. Route and corresponding exposure estimates can be scaled to the population level which will contribute to a better understanding of built-environment exposures on child health and contribute to mobility-based child health policy.
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Affiliation(s)
- Amy Mizen
- Health Data Research UK (HDR-UK), Data Science Building, Swansea University, Swansea, SA2 8PP, UK.
| | - Richard Fry
- Health Data Research UK (HDR-UK), Data Science Building, Swansea University, Swansea, SA2 8PP, UK.,National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, SA2 8PP, UK
| | - Sarah Rodgers
- Institute of Population Health Sciences, University of Liverpool, Liverpool, L69 3BX, UK
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Bosch LSMM, Wells JCK, Lum S, Reid AM. Associations of the objective built environment along the route to school with children's modes of commuting: A multilevel modelling analysis (the SLIC study). PLoS One 2020; 15:e0231478. [PMID: 32271830 PMCID: PMC7145202 DOI: 10.1371/journal.pone.0231478] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 03/24/2020] [Indexed: 12/03/2022] Open
Abstract
As active commuting levels continue to decline among primary schoolchildren, evidence about which built environmental characteristics influence walking or cycling to school remains inconclusive and is strongly context-dependent. This study aimed to identify the objective built environmental drivers of, and barriers to, active commuting to school for a multi-ethnic sample of 1,889 healthy primary schoolchildren (aged 5-11) in London, UK. Using cross-sectional multilevel ordered logistic regression modelling, supported by the spatial exploration of built environmental characteristics through cartography, the objective built environment was shown to be strongly implicated in children's commuting behaviour. In line with earlier research, proximity to school emerged as the prime variable associated with the choice for active commuting. However, other elements of the urban form were also significantly associated with children's use of active or passive modes of transport. High levels of accidents, crime and air pollution along the route to school were independently correlated with a lower likelihood of children walking or cycling to school. Higher average and minimum walkability and higher average densities of convenience stores along the way were independently linked to higher odds of active commuting. The significance of the relations for crime, air pollution and walkability disappeared in the fully-adjusted model including all built environmental variables. In contrast, relationships with proximity, traffic danger and the food environment were maintained in this comprehensive model. Black children, pupils with obesity, younger participants and those from high socioeconomic families were less likely to actively commute to school. There is thus a particular need to ensure that roads with high volumes of actively commuting children are kept safe and clean, and children's exposure to unhealthy food options along the way is limited. Moreover, as short commuting distances are strongly correlated with walking or cycling, providing high-quality education near residential areas might incite active transport to school.
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Affiliation(s)
- Lander S. M. M. Bosch
- Department of Geography, University of Cambridge, Cambridge, England, United Kingdom
| | - Jonathan C. K. Wells
- UCL Great Ormond Street Institute of Child Health, London, England, United Kingdom
| | - Sooky Lum
- Respiratory, Critical Care & Anaesthesia Section, London, England, United Kingdom
| | - Alice M. Reid
- Department of Geography, University of Cambridge, Cambridge, England, United Kingdom
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Peng K, Rodríguez DA, Peterson M, Braun LM, Howard AG, Lewis CE, Shikany JM, Gordon-Larsen P. GIS-Based Home Neighborhood Food Outlet Counts, Street Connectivity, and Frequency of Use of Neighborhood Restaurants and Food Stores. J Urban Health 2020; 97:213-225. [PMID: 32086738 PMCID: PMC7101458 DOI: 10.1007/s11524-019-00412-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Researchers have linked neighborhood food availability to the overall frequency of using food outlets without noting if those outlets were within or outside of participants' neighborhoods. We aimed to examine the association of neighborhood restaurant and food store availability with frequency of use of neighborhood food outlets, and whether such an association was modified by neighborhood street connectivity using a large and diverse population-based cohort of middle-aged U.S. adults. We used self-reported frequency of use of fast food restaurants, sit-down restaurants, and grocery stores in respondents' home neighborhoods using data from the Coronary Artery Risk Development in Young Adults study Year 20 exam in 2005-2006 (n = 2860; Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA) and geographically matched GIS-measured neighborhood-level food resource, street, and U.S. Census data. We used mixed-effects logistic regression to examine the associations of the GIS-measured count of neighborhood fast food restaurants, sit-down restaurants, and grocery stores with self-reported frequency of using neighborhood restaurants and food stores and whether such associations differed by GIS-measured neighborhood street connectivity among those who perceived at least one such food outlet. In multivariate analyses, we observed a positive association between the GIS-measured count of neighborhood sit-down restaurants (OR = 1.02, 95% CI 1.00-1.04) and the self-reported frequency of using neighborhood sit-down restaurants. We observed no statistically significant association between GIS-measured count of neighborhood fast food restaurants and self-reported frequency of using neighborhood fast food restaurants, nor did we observe a statistically significant association between GIS-measured count of neighborhood grocery stores and self-reported frequency of using neighborhood grocery stores. We observed inverse associations between GIS-measured neighborhood street connectivity and the self-reported frequencies of using neighborhood fast food restaurants (OR = 0.42, 95% CI 0.26-0.68) and grocery stores (OR = - 2.26, 95% CI - 4.52 to - 0.01). Neighborhood street connectivity did not modify the association between GIS-measured neighborhood restaurant and food store count and the self-reported frequency of using neighborhood restaurants and food stores. Our findings suggest that, for those who perceived at least one sit-down restaurant in their neighborhood, individuals who have more GIS-measured sit-down restaurants in their neighborhoods reported more frequent use of sit-down restaurants than those whose neighborhoods contain fewer such restaurants. Our results also suggest that, for those who perceived at least one fast food restaurant in their neighborhood, individuals who live in neighborhoods with greater GIS-measured street connectivity reported less use of neighborhood fast food restaurants than those who live in neighborhoods with less street connectivity. The count of neighborhood sit-down restaurants and the connectivity of neighborhood street networks appear important in understanding the use of neighborhood food resources.
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Grants
- HHSN268201800004I NHLBI NIH HHS
- HHSN268201800003I NHLBI NIH HHS
- HHSN268201800007I NHLBI NIH HHS
- R01 HL114091 NHLBI NIH HHS
- P30 DK056350 NIDDK NIH HHS
- R24 HD050924 NICHD NIH HHS
- HHSN268201800006I NHLBI NIH HHS
- R01 HL104580 NHLBI NIH HHS
- R01 HL143885 NHLBI NIH HHS
- P30 ES010126 NIEHS NIH HHS
- HHSN268201800005I NHLBI NIH HHS
- P2C HD050924 NICHD NIH HHS
- National Heart, Lung, and Blood Institute
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute for Environmental Health Sciences
- National Heart, Lung, and Blood Institute and University of Alabama at Birmingham
- National Heart, Lung, and Blood Institute and University of Minnesota
- National Heart, Lung, and Blood Institute and Northwestern University
- National Heart, Lung, and Blood Institute and Kaiser Foundation Research Institute
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Affiliation(s)
- Ke Peng
- Department of Urban Planning, School of Architecture, Hunan University, Changsha, China
- Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514 USA
| | - Daniel A. Rodríguez
- Department of City and Regional Planning,, University of California, Berkeley, Berkeley, CA 94720 USA
| | - Marc Peterson
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514 USA
| | - Lindsay M. Braun
- Department of Urban and Regional Planning, University of Illinois at Urbana Champaign, Champaign, IL 61820 USA
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514 USA
| | - Cora E. Lewis
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35205 USA
| | - James M. Shikany
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35205 USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W. Franklin Street, Chapel Hill, NC USA
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Stead M, Eadie D, McKell J, Sparks L, MacGregor A, Anderson AS. Making hospital shops healthier: evaluating the implementation of a mandatory standard for limiting food products and promotions in hospital retail outlets. BMC Public Health 2020; 20:132. [PMID: 32000746 PMCID: PMC6990565 DOI: 10.1186/s12889-020-8242-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 01/20/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The range of products stocked and their promotions in food retail outlets in healthcare settings can affect food choices by staff, patients and visitors. The innovative Scottish Healthcare Retail Standard (HRS) is a national mandatory scheme requiring all hospital food retail outlets to change the balance of food products stocked and their promotion to comply with nutritional criteria and promotional restrictions. The aim is to facilitate healthier food choices in healthcare settings. This study examined the implementation of HRS and the impact on foods stocked and promoted. METHODS The study aimed to examine implementation process and changes to the retail environment in relation to food promotions and choice. A sample of hospital retail outlets (n = 17) including shops and trolley services were surveyed using a mixed methods design comprising: (a) structured observational audits of stock, layout and promotions (with a specific focus on chocolate and fruit product lines), and (b) face-to-face, semi-structured interviews with the shop manager or nominated members of staff (n = 32). Data were collected at Wave 1 (2016), at the beginning and during the early stages of HRS implementation; and Wave 2, 12 months later, after the HRS implementation deadline. RESULTS All outlets, both commercial and not-for-profit, in the sample successfully implemented HRS. Implementation was reported to be more challenging by independent shop managers compared to chain store staff. Retail managers identified areas where more implementation guidance and support could have been provided. The number of chocolate product lines and promotions reduced substantially between Waves 1 and 2, but with no substantial increase in fruit product lines and promotions. Despite initial negative expectations of HRS's impact, managers identified some opportunities in the scheme and positive changes in the supply chain. CONCLUSIONS Positive changes in food retail outlets occurred after hospital shops were required to implement HRS. By creating a consistent approach across hospital shops in Scotland, HRS changed the food retail environment for hospital staff, visitors and patients. HRS provides a regulatory template and implementation learning points for influencing retail environments in other jurisdictions and settings.
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Affiliation(s)
- Martine Stead
- Institute for Social Marketing and Health, Faculty of Health Sciences and Sport, University of Stirling, Stirling, UK
| | - Douglas Eadie
- Institute for Social Marketing and Health, Faculty of Health Sciences and Sport, University of Stirling, Stirling, UK
| | - Jennifer McKell
- Institute for Social Marketing and Health, Faculty of Health Sciences and Sport, University of Stirling, Stirling, UK
| | - Leigh Sparks
- Institute for Retail Studies, Stirling Management School, University of Stirling, Stirling, UK
| | | | - Annie S. Anderson
- Centre for Public Health Nutrition Research, School of Medicine, University of Dundee, Dundee, Scotland
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Shvetsov YB, Shariff-Marco S, Yang J, Conroy SM, Canchola AJ, Albright CL, Park SY, Monroe KR, Le Marchand L, Gomez SL, Wilkens LR, Cheng I. Association of change in the neighborhood obesogenic environment with colorectal cancer risk: The Multiethnic Cohort Study. SSM Popul Health 2020; 10:100532. [PMID: 31909167 PMCID: PMC6940713 DOI: 10.1016/j.ssmph.2019.100532] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 12/11/2019] [Accepted: 12/19/2019] [Indexed: 12/13/2022] Open
Abstract
Background Neighborhood environment has been associated with health behaviors. Despite the evidence of the influence of neighborhood social and physical factors on cancer risk, no research has evaluated whether changes in the neighborhood obesogenic environment, either by physical moves to different neighborhoods or experiencing neighborhood redevelopment or neglect, affect cancer risk. Methods The association of change in neighborhood environment attributes (socioeconomic status, population density, restaurant and retail food environments, numbers of recreational facilities and businesses, commute patterns, traffic density, and street connectivity) with colorectal cancer (CRC) risk was examined among 95,472 Los Angeles, CA, Multiethnic Cohort participants, including 2295 invasive CRC cases diagnosed between 1993 and 2010 using Cox proportional hazards regression, adjusting for age, race/ethnicity, other risk factors including BMI and physical activity, and baseline levels of neighborhood attributes. Stratified analyses were conducted by racial/ethnic group and moving status. Results 40% of participants moved (changed physical residence) during follow-up. Across all races/ethnicities, upward change in population density was statistically significantly associated with higher CRC risk among male and female non-movers (HR: 1.35 and 1.41, respectively). The same association was also observed separately among female African American and Japanese American non-movers, male Latino non-movers, female African American and male White movers. Downward change in population density was significantly related to higher CRC risk among female non-movers (HR: 1.33). Downward change in traffic density was associated with lower CRC risk among male non-movers but with higher CRC risk among female movers (HR: 0.66 and 1.43, respectively). Downward changes in street connectivity or the number of recreational facilities were associated with higher CRC risk (HR: 1.34 and 1.54, respectively). Upward change in the number of recreational facilities was associated with lower CRC risk among female non-movers (HR: 0.70). Changes in the other neighborhood attributes did not exhibit significant associations with CRC risk within more than one racial/ethnic group. Conclusion Changes over time in neighborhood attributes have an effect on the risk of colorectal cancer, which is separate from the baseline levels of the same attributes and individual-level risk factors, and differs between sexes, movers and non-movers and across racial/ethnic groups. A person's neighborhood environment can change due to physical moves or neighborhood redevelopment. Association of change in neighborhood environment with colorectal cancer risk was examined. The California part of the Multiethnic Cohort was used for the analysis. Upward change in population density was associated with higher colorectal cancer risk among non-movers.
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Affiliation(s)
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Shannon M Conroy
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Alison J Canchola
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Cheryl L Albright
- University of Hawaii Cancer Center, Honolulu, HI, USA.,University of Hawaii at Manoa, School of Nursing and Dental Hygiene, Honolulu, HI, USA
| | - Song-Yi Park
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | | | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
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Pinho MGM, Mackenbach JD, Charreire H, Oppert JM, Rutter H, Beulens JWJ, Brug J, Lakerveld J. Comparing Different Residential Neighborhood Definitions and the Association Between Density of Restaurants and Home Cooking Among Dutch Adults. Nutrients 2019; 11:E1796. [PMID: 31382624 PMCID: PMC6722945 DOI: 10.3390/nu11081796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 07/31/2019] [Accepted: 08/01/2019] [Indexed: 11/16/2022] Open
Abstract
The definition of neighborhoods as areas of exposure to the food environment is a challenge in food environment research. We aimed to test the association of density of restaurants with home cooking using four different definitions of residential neighborhoods. We also tested effect modification by age, length of residency, education, and income. This innovative cross-sectional study was conducted in the Netherlands (N = 1245 adults). We calculated geographic information system-based measures of restaurant density using residential administrative neighborhood boundaries, 800 m and 1600 m buffers around the home and respondents' self-defined boundaries (drawn by the respondents on a map of their residential area). We used adjusted Poisson regression to test associations of restaurant density (tertiles) and the outcome "weekly consumption of home-cooked meals" (six to seven as compared to five days per week (day/week) or fewer). Most respondents reported eating home-cooked meals for at least 6 day/week (74.2%). Regardless of the neighborhood definition used, no association between food environment and home cooking was observed. No effect modification was found. Although exposure in terms of density of restaurants was different according to the four different neighborhood definitions, we found no evidence that the area under study influences the association between density of restaurants and home cooking among Dutch adults.
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Affiliation(s)
- Maria Gabriela M Pinho
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands.
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - Hélène Charreire
- Université Paris Est Créteil (UPEC), LabUrba, UPEC, 61 Avenue du Général de Gaulle, 94010 Créteil, France
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, 74 Rue Marcel Cachin, 93017 Bobigny, France
| | - Jean-Michel Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, 74 Rue Marcel Cachin, 93017 Bobigny, France
- Department of Nutrition, Institute of Cardiometabolism and Nutrition, Sorbonne Université, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'Hôpital, 75013 Paris, France
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath BA2 7AY, UK
| | - Joline W J Beulens
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Huispost Str. 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Johannes Brug
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands
- National Institute for Public Health and the Environment, Antoni van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Huispost Str. 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
- Faculty of Geosciences, Utrecht University, Vening Meinesz building A, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands
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Wilding S, Ziauddeen N, Smith D, Roderick P, Alwan NA. Maternal and early-life area-level characteristics and childhood adiposity: A systematic review. Obes Rev 2019; 20:1093-1105. [PMID: 31034734 PMCID: PMC6612509 DOI: 10.1111/obr.12861] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/22/2019] [Accepted: 03/07/2019] [Indexed: 12/15/2022]
Abstract
There is a cross-sectional evidence that physical and social environments are linked to childhood adiposity. Evidence is scarce for the role of preconception, pregnancy, and early-life area-level characteristics in shaping childhood adiposity. We aimed to systematically review evidence for associations between physical and social environmental conditions experienced in these periods and childhood adiposity. Published literature was identified from the CINAHL, Embase, MEDLINE, and PsycINFO databases. Longitudinal studies linking an area-level environmental exposure in the preconception, pregnancy, or early-life (less than 1 year) periods and a measure of adiposity between the ages of 2 and 12 years were examined. Eight studies in the United States, Denmark, South Korea, United Kingdom, and Canada satisfied the inclusion criteria. Storm-induced maternal stress, nitrogen oxides exposure, traffic noise, and proximity were associated with greater childhood adiposity. Frequent neighbourhood disturbances were associated with lower adiposity, while particulate matter exposure was associated with both higher and lower adiposity in childhood. Area-level characteristics may play a role in the ongoing obesity epidemic. There is a limited evidence of longitudinal associations between preconception, pregnancy, and early-life area-level characteristics with childhood adiposity. Numerous factors that appear important in cross-sectional research have yet to be assessed longitudinally, both individually and in combination.
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Affiliation(s)
- Sam Wilding
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nida Ziauddeen
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Dianna Smith
- School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Paul Roderick
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nisreen A Alwan
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Food consumption and its association with leisure-time physical activity and active commuting in Brazilian workers. Eur J Clin Nutr 2019; 74:314-321. [PMID: 31253877 DOI: 10.1038/s41430-019-0454-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES An in-depth understanding of the relationship between food consumption and physical activity is relevant since these behaviours could influence each other, while both have an effect on obesity and chronic diseases. In this context, the aim of this study was to investigate the effect of various combinations of food consumption (fruits, vegetables, sweets and snacks) on the associations with PA domains (leisure and commute) among Brazilian industrial workers. SUBJECTS/METHODS This is part of a cross-sectional national survey developed in Brazil using data from the "Lifestyle and Leisure Habits of Industrial Workers" project. A total of 52,774 workers (response rate: 90.6%) responded to a validated questionnaire about the frequency of their consumption of fruit, vegetables, sweets and snacks, their practice of LTPA and active commuting. The answers were analysed by multilevel regression, controlled by sociodemographic behaviour and the presence of hypertension, diabetes and overweight. RESULTS Workers with a simultaneously adequate consumption of fruit, vegetables, sweets and snacks were 2.29 (1.74; 2.99 p-value < 0.001) more likely to perform LTPA. In the full model, there was no association among any of the combinations of food consumption and active commuting. CONCLUSION A better food consumption behaviour was reported among workers who practiced leisure physical activity when compared to those who did not.
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Wilkins E, Morris M, Radley D, Griffiths C. Methods of measuring associations between the Retail Food Environment and weight status: Importance of classifications and metrics. SSM Popul Health 2019; 8:100404. [PMID: 31245526 PMCID: PMC6582068 DOI: 10.1016/j.ssmph.2019.100404] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 03/26/2019] [Accepted: 04/24/2019] [Indexed: 12/29/2022] Open
Abstract
Despite considerable research, evidence supporting associations between the 'Retail Food Environment' (RFE) and obesity remains mixed. Differences in the methods used to measure the RFE may explain this heterogeneity. Using data on a large (n = 10,111) sample of adults from the Yorkshire Health Study (UK), we modelled cross-sectional associations between the RFE and weight status using (i) multiple definitions of 'Fast Food', 'Convenience' and 'Supermarkets' and (ii) multiple RFE metrics, identified in a prior systematic review to be common in the literature. Both the choice of outlet definition and the choice of RFE metric substantively impacted observed associations with weight status. Findings differed in relation to statistical significance, effect sizes, and directions of association. This study provides novel evidence that the diversity of RFE measurement methods is contributing to heterogeneous study findings and conflicting policy messages. Greater attention is needed when selecting and communicating RFE measures in research.
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Affiliation(s)
- Emma Wilkins
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Michelle Morris
- Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK
| | - Duncan Radley
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
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A Time-Based Objective Measure of Exposure to the Food Environment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16071180. [PMID: 30986919 PMCID: PMC6480343 DOI: 10.3390/ijerph16071180] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 03/13/2019] [Accepted: 03/29/2019] [Indexed: 12/03/2022]
Abstract
Exposure to food environments has mainly been limited to counting food outlets near participants’ homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants’ mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and ½ mile. Measures included count of proximal FFRs, time duration in proximity to ≥1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.
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Kelly C, Callaghan M, Molcho M, Nic Gabhainn S, Alforque Thomas A. Food environments in and around post-primary schools in Ireland: Associations with youth dietary habits. Appetite 2019; 132:182-189. [DOI: 10.1016/j.appet.2018.08.021] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 07/09/2018] [Accepted: 08/13/2018] [Indexed: 12/16/2022]
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Smith L, Panter J, Ogilvie D. Characteristics of the environment and physical activity in midlife: Findings from UK Biobank. Prev Med 2019; 118:150-158. [PMID: 30367974 PMCID: PMC6344227 DOI: 10.1016/j.ypmed.2018.10.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 09/25/2018] [Accepted: 10/21/2018] [Indexed: 11/18/2022]
Abstract
Characteristics of the environment influence health and may promote physical activity. We explored the associations between neighborhood environmental characteristics grouped within five facets (spaces for physical activity, walkability, disturbance, natural environment, and the sociodemographic environment) and objective ('recorded') and self-reported ('reported') physical activity in adults from UK Biobank. Recorded activity was assessed using wrist-worn accelerometers (2013-2015, n = 65,967) and time spent in moderate-to-vigorous physical activity (MVPA), walking, and walking for pleasure was self-reported (2006-2010, n = 337,822). Associations were assessed using linear and multinomial logistic regression models and data were analyzed in 2017. We found participants living in areas with higher concentrations of air pollution recorded and reported lower levels of physical activity and those in rural areas and more walkable areas had higher levels of both recorded and reported activity. Some associations varied according to the specificity of the outcome, for example, those living in the most deprived areas were less likely to record higher levels of MVPA (upper tertile: RRR: 0.80 95% CI: 0.74, 0.86) but were more likely to report higher levels of walking (upper tertile: RRR: 1.09, 95% CI: 1.06, 1.13). Environmental characteristics have the potential to contribute to different physical activities but interventions which focus on a single environmental attribute or physical activity outcome may not have the greatest benefits.
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Affiliation(s)
- Lindsey Smith
- MRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0QQ, UK.
| | - Jenna Panter
- MRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0QQ, UK.
| | - David Ogilvie
- MRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0QQ, UK.
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Estrella ML, Rosenberg NI, Durazo-Arvizu RA, Gonzalez HM, Loop MS, Singer RH, Lash JP, Castañeda SF, Perreira KM, Eldeirawi K, Daviglus ML. The association of employment status with ideal cardiovascular health factors and behaviors among Hispanic/Latino adults: Findings from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). PLoS One 2018; 13:e0207652. [PMID: 30481192 PMCID: PMC6258516 DOI: 10.1371/journal.pone.0207652] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 11/05/2018] [Indexed: 12/04/2022] Open
Abstract
Background The American Heart Association’s 2020 Impact Goals propose to improve cardiovascular health (CVH) and reduce deaths from cardiovascular diseases and stroke in the US. Targeted health promotion efforts in workplaces and communities are needed to achieve these population-level changes. The present study examined the sex-specific cross-sectional associations between employment status and ideal CVH among Hispanics/Latinos, and whether these associations were modified by age (i.e., younger adults [aged 18–44] compared to middle-aged and older adults [aged 45–74]). Methods This study included 4,797 males and 7,043 females (aged 18–74) from the Hispanic Community Health Study / Study of Latinos. Employment status was categorized as employed full-time (FT), employed part-time (PT), employed (FT or PT) and homemakers, homemakers only, and unemployed. CVH metrics, operationalized as ‘ideal’ versus ‘less than ideal,’ included health factors (i.e., blood pressure, cholesterol, and fasting glucose) and health behaviors (i.e., body mass index, smoking, physical activity [PA], and diet). A total CVH score was derived based on the seven CVH metrics, and dichotomized as ideal vs. less than ideal (score of 11–14 vs. 0–10). Survey-based generalized linear regression models with Gaussian binomial distribution were used to estimate adjusted prevalence differences (APDs) and their 95% confidence intervals (CIs) for the associations between employment status (with employed FT as referent) and ideal CVH (total score and each metric), adjusting for socio-demographic characteristics. Effect modification by age was examined. Results Among males, compared to their employed FT counterparts, those who were employed PT had a higher prevalence of ideal CVH score (APD = 6.8, 95% CI = 1.7, 11.8), ideal BMI (APD = 8.5, 95% CI = 3.0, 14.0), and ideal PA (APD = 4.8, 95% CI = 0.9, 8.7). Age modified the associations of employment type with ideal CVH score and ideal BMI, i.e., younger males who were employed PT had a higher prevalence of ideal CVH score and ideal BMI. Among females, employment status was not associated with ideal CVH score. Compared to females employed FT, females who were homemakers had a lower prevalence of ideal (non-) smoking (APD = -4.7, 95% CI = -8.5, -1.0) and ideal PA (APD = -7.9, 95% CI = -12.7, -3.0), and females who were unemployed had a lower prevalence of ideal PA (APD = -10.4, 95% CI = -16.7, -4.1). Age modified the associations of employment type with ideal fasting glucose and ideal PA, i.e., middle-aged and older females who were homemakers or unemployed had a lower prevalence of ideal fasting glucose and ideal PA. Conclusions Hispanic/Latino males who were employed PT had the most favorable CVH profiles but these associations were mostly driven by better CVH (total score and metrics) among younger males. Hispanic/Latino females who were homemakers or unemployed had lower rates of ideal CVH metrics.
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Affiliation(s)
- Mayra L. Estrella
- Institute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America
- * E-mail:
| | - Natalya I. Rosenberg
- Institute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America
| | - Ramon A. Durazo-Arvizu
- Institute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America
- Department of Public Health Sciences, Loyola University Medical Center, Maywood, IL, United States of America
| | - Hector M. Gonzalez
- Department of Neurosciences, University of California San Diego, San Diego, CA, United States of America
| | - Matthew S. Loop
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Richard H. Singer
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - James P. Lash
- Division of Nephrology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America
| | - Sheila F. Castañeda
- Graduate School of Public Health, San Diego State University, San Diego, CA, United States of America
| | - Krista M. Perreira
- Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Kamal Eldeirawi
- Department of Health Systems Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, United States of America
| | - Martha L. Daviglus
- Institute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America
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Hobbs M, Griffiths C, Green MA, Jordan H, Saunders J, Christensen A, McKenna J. Fast-food outlet availability and obesity: Considering variation by age and methodological diversity in 22,889 Yorkshire Health Study participants. Spat Spatiotemporal Epidemiol 2018; 28:43-53. [PMID: 30739654 DOI: 10.1016/j.sste.2018.11.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 09/17/2018] [Accepted: 11/03/2018] [Indexed: 01/09/2023]
Abstract
This study investigated if the relationship between residential fast-food outlet availability and obesity varied due to methodological diversity or by age. Cross-sectional data (n = 22,889) from the Yorkshire Health Study, England were used. Obesity was defined using self-reported height and weight (BMI ≥ 30). Food outlets ("fast-food", "large supermarkets", and "convenience or other food retail outlets") were mapped using Ordnance Survey Points of Interest (PoI) database. Logistic regression was used for all analyses. Methodological diversity included adjustment for other food outlets as covariates and continuous count vs. quartile. The association between residential fast-food outlets and obesity was inconsistent and effects remained substantively the same when considering methodological diversity. This study contributes to evidence by proposing the use of a more comprehensive conceptual model adjusting for wider markers of the food environment. This study offers tentative evidence that the association between fast-food outlets and obesity varies by age.
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Affiliation(s)
- M Hobbs
- Carnegie School of Sport, Leeds Beckett University, Leeds LS6 3QT, UK; GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Ernest Rutherford Building, Christchurch, New Zealand.
| | - C Griffiths
- Carnegie School of Sport, Leeds Beckett University, Leeds LS6 3QT, UK
| | - M A Green
- School of Environmental Sciences, University of Liverpool, Liverpool, UK
| | - H Jordan
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - J Saunders
- Leeds Beckett University formerly Public Health Team, Rotherham Borough Council, UK
| | - A Christensen
- Carnegie School of Sport, Leeds Beckett University, Leeds LS6 3QT, UK
| | - J McKenna
- Carnegie School of Sport, Leeds Beckett University, Leeds LS6 3QT, UK
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Cutting through conflicting prescriptions: How guidelines inform “healthy and sustainable” diets in Switzerland. Appetite 2018; 130:123-133. [DOI: 10.1016/j.appet.2018.08.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/27/2018] [Accepted: 08/03/2018] [Indexed: 11/19/2022]
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Local Retail Food Environment and Consumption of Fruit and Vegetable among Adults in Hong Kong. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15102247. [PMID: 30322198 PMCID: PMC6210243 DOI: 10.3390/ijerph15102247] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 10/09/2018] [Accepted: 10/11/2018] [Indexed: 12/28/2022]
Abstract
Outside of western countries, the study of the local food environment and evidence for its association with dietary behavior is limited. The aim of this paper was to examine the association between the local retail food environment and consumption of fruit and vegetables (FV) among adults in Hong Kong. Local retail food environment was measured by density of different types of retail food outlets (grocery stores, convenience stores, and fast food restaurants) within a 1000 m Euclidean buffer around individual's homes using a geographic information system (GIS). The Retail Food Environment Index (RFEI) was calculated based on the relative density of fast-food restaurants and convenience stores to grocery stores. Logistic regressions were performed to examine associations using cross-sectional data of 1977 adults (18 years or older). Overall, people living in an area with the highest RFEI (Q4, >5.76) had significantly greater odds of infrequent FV consumption (<7 days/week) after covariates adjustment (infrequent fruit consumption: OR = 1.36, 95% CI 1.04⁻1.78; infrequent vegetable consumption: OR = 1.72, 95% CI 1.11⁻2.68) in comparison to the lowest RFEI (Q1, <2.25). Highest density of fast food restaurants (Q4, >53) was also significantly associated with greater odds of infrequent fruit consumption (<7 days/week) (unadjusted model: OR = 1.34, 95% CI 1.04⁻1.73), relative to lowest density of fast food restaurants (Q1, <13). No significant association of density of grocery stores or convenience stores was observed with infrequent FV consumption regardless of the covariates included in the model. Our results suggest that the ratio of fast-food restaurants and convenience stores to grocery stores near people's home is an important environmental factor in meeting fruit and vegetable consumption guidelines. "Food swamps" (areas with an abundance of unhealthy foods) rather than "food deserts" (areas where there is limited access to healthy foods) seems to be more of a problem in Hong Kong's urban areas. We advanced international literature by providing evidence in a non-western setting.
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