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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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Wirtz Baker JM, Pou SA, Niclis C, Haluszka E, Aballay LR. Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments. Int J Obes (Lond) 2023:10.1038/s41366-023-01331-3. [PMID: 37393408 DOI: 10.1038/s41366-023-01331-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/01/2023] [Accepted: 06/21/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND The complex nature of obesity increasingly requires a comprehensive approach that includes the role of environmental factors. For understanding contextual determinants, the resources provided by technological advances could become a key factor in obesogenic environment research. This study aims to identify different sources of non-traditional data and their applications, considering the domains of obesogenic environments: physical, sociocultural, political and economic. METHODS We conducted a systematic search in PubMed, Scopus and LILACS databases by two independent groups of reviewers, from September to December 2021. We included those studies oriented to adult obesity research using non-traditional data sources, published in the last 5 years in English, Spanish or Portuguese. The overall reporting followed the PRISMA guidelines. RESULTS The initial search yielded 1583 articles, 94 articles were kept for full-text screening, and 53 studies met the eligibility criteria and were included. We extracted information about countries of origin, study design, observation units, obesity-related outcomes, environment variables, and non-traditional data sources used. Our results revealed that most of the studies originated from high-income countries (86.54%) and used geospatial data within a GIS (76.67%), social networks (16.67%), and digital devices (11.66%) as data sources. Geospatial data were the most utilised data source and mainly contributed to the study of the physical domains of obesogenic environments, followed by social networks providing data to the analysis of the sociocultural domain. A gap in the literature exploring the political domain of environments was also evident. CONCLUSION The disparities between countries are noticeable. Geospatial and social network data sources contributed to studying the physical and sociocultural environments, which could be a valuable complement to those traditionally used in obesity research. We propose the use of information available on the Internet, addressed by artificial intelligence-based tools, to increase the knowledge on political and economic dimensions of the obesogenic environment.
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Affiliation(s)
- Julia Mariel Wirtz Baker
- Health Sciences Research Institute (INICSA), National Council of Scientific and Technical Research (CONICET), Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
- Human Nutrition Research Centre (CenINH), School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
| | - Sonia Alejandra Pou
- Health Sciences Research Institute (INICSA), National Council of Scientific and Technical Research (CONICET), Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
- Human Nutrition Research Centre (CenINH), School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
| | - Camila Niclis
- Health Sciences Research Institute (INICSA), National Council of Scientific and Technical Research (CONICET), Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
- Human Nutrition Research Centre (CenINH), School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
| | - Eugenia Haluszka
- Health Sciences Research Institute (INICSA), National Council of Scientific and Technical Research (CONICET), Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
- Human Nutrition Research Centre (CenINH), School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina
| | - Laura Rosana Aballay
- Human Nutrition Research Centre (CenINH), School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Bv. De La Reforma, Ciudad Universitaria, Zip Code 5000, Córdoba, Argentina.
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Lovasi GS, Boise S, Jogi S, Hurvitz PM, Rundle AG, Diez J, Hirsch JA, Fitzpatrick A, Biggs ML, Siscovick DS. Time-Varying Food Retail and Incident Disease in the Cardiovascular Health Study. Am J Prev Med 2023; 64:877-887. [PMID: 36882344 PMCID: PMC10200742 DOI: 10.1016/j.amepre.2023.02.001] [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] [Received: 04/28/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 03/08/2023]
Abstract
INTRODUCTION Natural experiments can strengthen evidence linking neighborhood food retail presence to dietary intake patterns and cardiometabolic health outcomes, yet sample size and follow-up duration are typically not extensive. To complement natural experiment evidence, longitudinal data were used to estimate the impacts of neighborhood food retail presence on incident disease. METHODS The Cardiovascular Health Study recruited adults aged 65+ years in 1989-1993. Analyses conducted in 2021-2022 included those in good baseline health, with addresses updated annually through the year of death (restricted to 91% who died during >2 decades of cohort follow-up). Baseline and annually updated presence of 2 combined food retail categories (supermarkets/produce markets and convenience/snack focused) was characterized using establishment-level data for 1-km and 5-km Euclidean buffers. Cox proportional hazards models estimated associations with time to each incident outcome (cardiovascular disease, diabetes), adjusting for individual and area-based confounders. RESULTS Among 2,939 participants, 36% with baseline supermarket/produce market presence within 1 km had excess incident cardiovascular disease (hazard ratio=1.12; 95% CI=1.01, 1.24); the association was attenuated and no longer statistically significant after adjustment for sociodemographic characteristics. Adjusted associations were robustly null for time-varying supermarket/produce market or convenience/fast food retail presence across analyses with outcomes of cardiovascular disease or diabetes incidence. CONCLUSIONS Food environment changes continue to be studied to provide an evidence base for policy decisions, and null findings in this longitudinal analysis add literature that casts doubt on the sufficiency of strategies targeting food retail presence alone of an elderly cohort for curtailing incident events of clinical importance.
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Affiliation(s)
- Gina S Lovasi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania.
| | - Sarah Boise
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Siddharth Jogi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Philip M Hurvitz
- Center for Studies in Demography & Ecology, University of Washington, Seattle, Washington; Department of Urban Design and Planning, College of Built Environments, University of Washington, Seattle, Washington
| | - Andrew G Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Julia Diez
- Department of Surgery, Medical and Social Sciences, Universidad de Alcalá, Madrid, Spain
| | - Jana A Hirsch
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Annette Fitzpatrick
- Department of Family Medicine, School of Medicine, University of Washington, Seattle, Washington; Department of Global Health, School of Medicine, University of Washington, Seattle, Washington; Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Mary L Biggs
- Department of Biostatistics, School Public Health, University of Washington, Seattle, Washington
| | - David S Siscovick
- Research, evaluation and policy, New York Academy of Medicine, New York, New York
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Rossi CE, Pinho MGM, Corrêa EN, de Abreu ÂH, Rech CR, Ferreira JRDC, de Vasconcelos FDAG. Neighborhood Availability and Use of Food, Physical Activity, and Social Services Facilities in Relation to Overweight and Obesity in Children and Adolescents. Food Nutr Bull 2023; 44:12-26. [PMID: 36601667 DOI: 10.1177/03795721221146215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE To evaluate the association of a combined measure of availability and use of facilities from the food environment and overweight (including obesity) among schoolchildren, while taking into account the physical activity and social-assistance environments. METHODS Cross-sectional study with a probabilistic sample of schoolchildren aged 7 to 14 years living in a southern Brazilian city (n = 2026). Multilevel analyses were performed with overweight as outcome and the food environment as main exposure. Models were adjusted for the physical activity and social-assistance environments, as well as individual and other residential neighborhood characteristics. RESULTS Greater availability of restaurants around the home was associated with higher odds of overweight (odds ratio [OR] = 1.40; 95% CI = 1.06-1.85). Stronger associations were found for schoolchildren reporting to use restaurants (OR = 1.48; 95% CI = 1.15-1.90). This association remained significant after adjusting for the presence of other food retailers. Schoolchildren who had social-assistance facilities around their homes, but reported not to use them, showed consistently higher odds of being overweight (OR = 1.34; 95% CI = 1.01-1.78) as compared to schoolchildren who had these facilities near home and used them. The physical activity environment was not associated with the outcome. CONCLUSIONS Availability and use of the food and social-assistance environments were significantly associated with overweight (including obesity) among the schoolchildren. Future research should consider the use of environmental facilities in combination to their geographical availability. Our results highlight the need for policies that limit the access to obesogenic food outlets by children and adolescents.
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Affiliation(s)
| | - Maria Gabriela M Pinho
- Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.,Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands
| | - Elizabeth Nappi Corrêa
- Universidade Federal de Santa Catarina. Rua Engenheiro Agronômico Andrei Cristian Ferreira, s/n-Centro de Ciências da Saúde, Trindade, Florianópolis-Santa Catarina, Brazil
| | - Ângelo Horta de Abreu
- Gis Especialist. Imagem-Enterprise for Geographic Intelligence Solutions. Belo Horizonte-Minas Gerais, Brazil
| | - Cassiano Ricardo Rech
- Programa de Pós-Graduação em Educação Física (PPGEF), Campus Universitário Trindade, Florianópolis-Santa Catarina, Brazil
| | | | - Francisco de Assis Guedes de Vasconcelos
- Universidade Federal de Santa Catarina. Rua Engenheiro Agronômico Andrei Cristian Ferreira, s/n-Centro de Ciências da Saúde, Trindade, Florianópolis-Santa Catarina, Brazil
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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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Marquet O, Hirsch JA, Kerr J, Jankowska MM, Mitchell J, Hart JE, Laden F, Hipp JA, James P. GPS-based activity space exposure to greenness and walkability is associated with increased accelerometer-based physical activity. ENVIRONMENT INTERNATIONAL 2022; 165:107317. [PMID: 35660954 PMCID: PMC10187790 DOI: 10.1016/j.envint.2022.107317] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/30/2022] [Accepted: 05/19/2022] [Indexed: 05/05/2023]
Abstract
INTRODUCTION Built and natural environments may provide opportunities for physical activity. However, studies are limited by primarily using residential addresses to define exposure and self-report to measure physical activity. We quantified associations between global positioning systems (GPS)-based activity space measures of environmental exposure and accelerometer-based physical activity. METHODS Using a nationwide sample of working female adults (N = 354), we obtained seven days of GPS and accelerometry data. We created Daily Path Area activity spaces using GPS data and linked these activity spaces to spatial datasets on walkability (EPA Smart Location Database at the Census block group level) and greenness (satellite vegetation at 250 m resolution). We utilized generalized additive models to examine nonlinear associations between activity space exposures and accelerometer-derived physical activity outcomes adjusted for demographic characteristics, socioeconomic factors, and self-rated health. RESULTS Higher activity space walkability was associated with higher levels of moderate-vigorous physical activity, and higher activity space greenness was associated with greater numbers of steps per week. No strong relationships were observed for sedentary behavior or light physical activity. Highest levels of moderate-vigorous physical activity were observed for participants with both high walkability and high greenness in their activity spaces. CONCLUSION This study contributes evidence that higher levels of physical activity occur in environments with more dense, diverse, and well-connected built environments, and with higher amounts of vegetation. These data suggest that urban planners, landscape architects, and policy makers should implement and evaluate environmental interventions to encourage higher levels of physical activity.
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Affiliation(s)
- Oriol Marquet
- Institute of Environmental Science and Technology, Autonomous University of Barcelona, Spain.
| | - Jana A Hirsch
- Urban Health Collaborative, Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Jacqueline Kerr
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA
| | - Marta M Jankowska
- Beckman Research Institute, Population Sciences, City of Hope, Duarte, CA, USA
| | - Jonathan Mitchell
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jaime E Hart
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Francine Laden
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - J Aaron Hipp
- Center for Geospatial Analytics, NC State University, USA; Department of Parks, Recreation, and Tourism Management, NC State University, USA
| | - Peter James
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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Hobbs M, Milfont TL, Marek L, Yogeeswaran K, Sibley CG. The environment an adult resides within is associated with their health behaviours, and their mental and physical health outcomes: a nationwide geospatial study. Soc Sci Med 2022; 301:114801. [PMID: 35366459 DOI: 10.1016/j.socscimed.2022.114801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 01/24/2022] [Accepted: 02/07/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND The determinants of health behaviours and health outcomes are multifaceted and the surrounding environment is increasingly considered as an important influence. This pre-registered study investigated the associations between the geospatial environment people live within and their health behaviours as well as their mental and physical health outcomes. METHOD We used the newly developed Healthy Location Index (HLI) to identify health-promoting and health-constraining environmental features where people live. We then used Time 10 (2018) data from the New Zealand Attitudes and Values Survey (NZAVS; N = 47,951), a national probability sample of New Zealand adults, to gauge mental health outcomes including depression, anxiety and psychological distress, physical health outcomes including BMI and type II diabetes, and health behaviours such as tobacco smoking and vaping. Linear and logistic multilevel mixed effect regression models with random intercepts of individuals nested within geographical areas (meshblocks) were employed. RESULTS The presence of health-constraining environmental features were adversely associated with self-reported mental health outcomes of depression, anxiety and psychological distress, physical health outcomes of BMI and type II diabetes, and negative health behaviours of tobacco smoking and vaping. By contrast, health-promoting environmental features were uniquely associated only with physical health outcomes of BMI and type II diabetes. CONCLUSION The current study advances research on environmental determinants of health behaviours by demonstrating that close proximity to health-constraining environmental features is related to a number of self-reported physical and mental health outcomes or behaviours. We provide some evidence to support the notion that preventive population-health interventions should be sought.
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Affiliation(s)
- M Hobbs
- Faculty of Health, University, Christchurch, Canterbury, New Zealand; GeoHealth Laboratory, Geospatial Research Institute, College of Science, University of Canterbury, Christchurch, Canterbury, New Zealand.
| | - T L Milfont
- School of Psychology, University of Waikato, Tauranga, New Zealand
| | - L Marek
- GeoHealth Laboratory, Geospatial Research Institute, College of Science, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - K Yogeeswaran
- School of Psychology, Speech and Hearing, College of Science, University of Canterbury, Christchurch, New Zealand
| | - C G Sibley
- School of Psychology, University of Auckland, Auckland, New Zealand
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