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Zhang S, Ran L, Fan X, Zhang Y, Guo H. Perceived built environment as a mediator linking objective built environment and leisure-time physical activity in Chinese cities. Sci Rep 2024; 14:17091. [PMID: 39048585 PMCID: PMC11269646 DOI: 10.1038/s41598-024-65737-3] [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: 04/15/2024] [Accepted: 06/24/2024] [Indexed: 07/27/2024] Open
Abstract
Numerous studies have suggested that the perceived built environment is shaped by the objective built environment and influences human physical activity. However, the empirical examination of this pathway remains scant. Addressing this gap, our study investigates whether the built environment affects leisure-time physical activity through its impact on the perceived built environment, utilizing data collected from 760 residents in Fuzhou, China. Structural Equation Modeling results reveal a modest correlation between objective and perceived built environment elements, with the objective built environment being a stronger predictor of leisure-time physical activity. Notably, perceived recreational facilities significantly mediate the relationship between objective recreational facilities and leisure-time physical activity, accounting for 15% of the variance in physical activity due to objective recreational facilities. This mediation effect is consistent across subpopulations, irrespective of residential self-selection biases. These results highlight the imperative for urban planning and policy to extend beyond mere spatial allocation of amenities to enhancing both the actual and perceived accessibility of these facilities, thus underlining the study's profound implications for public health and urban development strategies.
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Affiliation(s)
- Shuyu Zhang
- School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China
- Laboratory of Smart Habitat for Humanity, Fuzhou University, Fuzhou, 350108, China
| | - Lei Ran
- School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China
- Laboratory of Smart Habitat for Humanity, Fuzhou University, Fuzhou, 350108, China
| | - Xinyu Fan
- School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China
- Laboratory of Smart Habitat for Humanity, Fuzhou University, Fuzhou, 350108, China
| | - Yuqing Zhang
- School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China
- Laboratory of Smart Habitat for Humanity, Fuzhou University, Fuzhou, 350108, China
| | - Huagui Guo
- School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
- Laboratory of Smart Habitat for Humanity, Fuzhou University, Fuzhou, 350108, China.
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2
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Cranshaw O, Haworth S. Neighborhood Access to the Built Environment and Allostatic Load: A Systematic Review of the Use of Geographic Information Systems. Public Health Rev 2024; 45:1606624. [PMID: 38846333 PMCID: PMC11153763 DOI: 10.3389/phrs.2024.1606624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 05/08/2024] [Indexed: 06/09/2024] Open
Abstract
Objectives: This paper systematically reviews how spatial analysis has been used to measure relationships between access to the built environment and Allostatic Load (AL) or biomarkers relevant to the stress pathway. Geographic Information Systems (GIS) facilitate objective measurement of built environment access that may explain unequal health outcomes linked to living in stressful environments. Methods: Systematic review, search date 13 July 2022 with methods published a priori. Included studies that quantitatively assessed associations between GIS measures of neighborhood attributes and biomarkers of stress. Results: 23 studies from 14 countries were included having used GIS measures to assess relationships between access to the built environment and biomarkers relevant to AL, with 17 being cross-sectional and 6 longitudinal. Just 2 studies explicitly assessed associations between GIS measures and AL, but 21 explored biomarkers relevant to the stress pathway. GIS was used to calculate density (how much of x within y) and proximity (how far from a to b) measures. Conclusion: GIS measures of greenspace, the food environment, area-level demographics, and land-use measures were found to influence biomarkers relevant to the stress pathway, highlighting the utility of this approach. GIS use is extremely limited when measuring the built environment and its influence on AL but has been widely used to consider effects on individual biomarkers of stress. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=348355], identifier [CRD42022348355].
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Affiliation(s)
- Owen Cranshaw
- Institute for Social and Economic Research (ISER), University of Essex, Colchester, United Kingdom
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3
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Patwary MM, Sakhvidi MJZ, Ashraf S, Dadvand P, Browning MHEM, Alam MA, Bell ML, James P, Astell-Burt T. Impact of green space and built environment on metabolic syndrome: A systematic review with meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:170977. [PMID: 38360326 DOI: 10.1016/j.scitotenv.2024.170977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/03/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
Metabolic Syndrome presents a significant public health challenge associated with an increased risk of noncommunicable diseases such as cardiovascular conditions. Evidence shows that green spaces and the built environment may influence metabolic syndrome. We conducted a systematic review and meta-analysis of observational studies published through August 30, 2023, examining the association of green space and built environment with metabolic syndrome. A quality assessment of the included studies was conducted using the Office of Health Assessment and Translation (OHAT) tool. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) assessment was used to evaluate the overall quality of evidence. Our search retrieved 18 studies that met the inclusion criteria and were included in our review. Most were from China (n = 5) and the USA (n = 5), and most used a cross-sectional study design (n = 8). Nine studies (50 %) reported only green space exposures, seven (39 %) reported only built environment exposures, and two (11 %) reported both built environment and green space exposures. Studies reported diverse definitions of green space and the built environment, such as availability, accessibility, and quality, particularly around participants' homes. The outcomes focused on metabolic syndrome; however, studies applied different definitions of metabolic syndrome. Meta-analysis results showed that an increase in normalized difference vegetation index (NDVI) within a 500-m buffer was associated with a lower risk of metabolic syndrome (odds ratio [OR] = 0.90, 95%CI = 0.87-0.93, I2 = 22.3 %, n = 4). A substantial number of studies detected bias for exposure classification and residual confounding. Overall, the extant literature shows a 'limited' strength of evidence for green space protecting against metabolic syndrome and an 'inadequate' strength of evidence for the built environment associated with metabolic syndrome. Studies with more robust study designs, better controlled confounding factors, and stronger exposure measures are needed to understand better what types of green spaces and built environment features influence metabolic syndrome.
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Affiliation(s)
- Muhammad Mainuddin Patwary
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh.
| | - Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Yazd Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sadia Ashraf
- Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Matthew H E M Browning
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA
| | - Md Ashraful Alam
- Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Michelle L Bell
- Yale School of the Environment, Yale University, New Haven, CT, United States
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, USA
| | - Thomas Astell-Burt
- School of Architecture, Design, and Planning, University of Sydney, Australia
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Ganasegeran K, Abdul Manaf MR, Safian N, Waller LA, Abdul Maulud KN, Mustapha FI. GIS-Based Assessments of Neighborhood Food Environments and Chronic Conditions: An Overview of Methodologies. Annu Rev Public Health 2024; 45:109-132. [PMID: 38061019 DOI: 10.1146/annurev-publhealth-101322-031206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
The industrial revolution and urbanization fundamentally restructured populations' living circumstances, often with poor impacts on health. As an example, unhealthy food establishments may concentrate in some neighborhoods and, mediated by social and commercial drivers, increase local health risks. To understand the connections between neighborhood food environments and public health, researchers often use geographic information systems (GIS) and spatial statistics to analyze place-based evidence, but such tools require careful application and interpretation. In this article, we summarize the factors shaping neighborhood health in relation to local food environments and outline the use of GIS methodologies to assess associations between the two. We provide an overview of available data sources, analytical approaches, and their strengths and weaknesses. We postulate next steps in GIS integration with forecasting, prediction, and simulation measures to frame implications for local health policies.
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Affiliation(s)
- Kurubaran Ganasegeran
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; ,
- Clinical Research Center, Seberang Jaya Hospital, Ministry of Health Malaysia, Penang, Malaysia
| | - Mohd Rizal Abdul Manaf
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; ,
| | - Nazarudin Safian
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; ,
| | - Lance A Waller
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Khairul Nizam Abdul Maulud
- Earth Observation Centre (EOC), Institute of Climate Change, Universiti Kebangsaan Malaysia, Selangor Darul Ehsan, Malaysia
- Department of Civil Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Selangor Darul Ehsan, Malaysia
| | - Feisul Idzwan Mustapha
- Public Health Division, Perak State Health Department, Ministry of Health Malaysia, Perak, Malaysia
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Needham C, Strugnell C, Allender S, Alston L, Orellana L. BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends. Nutrients 2023; 15:4503. [PMID: 37960156 PMCID: PMC10649206 DOI: 10.3390/nu15214503] [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: 09/06/2023] [Revised: 10/13/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open
Abstract
Research into the link between food environments and health is scarce. Research in this field has progressed, and new comprehensive methods (i.e., incorporating all food retail outlets) for classifying food retail environments have been developed and are yet to be examined alongside measures of obesity. In this study, we examine the association and temporal trends between the food environment and BMI of a repeated cross-sectional sample of the adult population between 2008 and 2016. Methods: Food retail data for 264 postal areas of Greater Melbourne was collected for the years 2008, 2012, 2014, and 2016, and a container-based approach was used to estimate accessibility to supermarkets, healthy and unhealthy outlets. Data on BMI for postal areas was obtained from the Victorian Population Health Survey (n = 47,245). We estimated the association between the food environment and BMI using linear mixed models. Results indicated that BMI increased as accessibility to healthy outlets decreased by up to -0.69 kg/m2 (95%CI: -0.95, -0.44). BMI was lower with high and moderate access to supermarkets compared to low access by -0.33 kg/m2 (-0.63, -0.04) and -0.32 kg/m2 (-0.56, -0.07), and with high access to unhealthy outlets compared to low access (-0.38 kg/m2: -0.64, -0.12) and moderate access (-0.54 kg/m2: -0.78, -0.30). Conclusion: Our results show that increasing access and availability to a diverse range of food outlets, particularly healthy food outlets, should be an important consideration for efforts to support good health. This research provides evidence that Australia needs to follow suit with other countries that have adopted policies giving local governments the power to encourage healthier food environments.
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Affiliation(s)
- Cindy Needham
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (C.S.); (S.A.)
| | - Claudia Strugnell
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (C.S.); (S.A.)
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC 3220, Australia
| | - Steven Allender
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (C.S.); (S.A.)
| | - Laura Alston
- Colac Area Health, Colac, VIC 3250, Australia;
- Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC 3280, Australia
| | - Liliana Orellana
- Faculty of Health, Biostatistics Unit, Deakin University, Geelong, VIC 3220, Australia;
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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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Hu LX, Fan S, Ma Y, Liu XX, Bao WW, Guo Y, Hu LW, Chen G, Zeng XW, Zou Z, Yang BY, Ma J, Yang Z, Chen YJ, Dong GH. Associations between greenspace surrounding schools and lipid levels in Chinese children and teenagers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120746. [PMID: 36457224 DOI: 10.1016/j.envpol.2022.120746] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Little evidence exists concerning the associations of greenspace with childhood lipid profiles and dyslipidemias, especially in developing countries and regions. We aimed to investigate the associations of greenspace surrounding schools with lipid levels and dyslipidemia prevalence among Chinese children and teenagers. We obtained baseline information and health data of 10,408 children and teenagers (aged 6-18 years) who studied from 94 schools in China. We measured levels of four blood lipids: triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Dyslipidemias were defined using standard recommendations. Greenness surrounding schools were assessed using two satellite-based greenness indices, Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) at 300-, 500-, and 1000-m circular buffers based on each school's latitude and longitude. We used random forest model combined with meteorological and remote sensing data to estimate air pollution levels surrounding each school. We used generalized linear mixed models to estimate the associations of greenness with lipid levels and dyslipidemias prevalence. We also performed sub-group and mediation analyses. An interquartile range (IQR) increase in NDVI500m was significantly associated with a 0.064 mmol/L (95% confidence interval [CI]: 0.083, -0.045) and 0.049 mmol/L (95% CI: 0.065, -0.033) decreased TC and LDL-C levels, respectively, as well as a 0.13-fold (95% CI: 0.01, 0.23) and 0.17-fold (95% CI: 0.01, 0.30) decreased odds of hypercholesterolemia and hyperbetalipoproteinemia, respectively. Associations were stronger in students aged ≤12 years and born to parents having lower education levels compared to their counterparts. Particle with aerodynamic diameter ≤2.5 μm (PM2.5) mediated 61.5% and 16.7% of the association of greenness with TG and LDL-C levels, respectively. In summary, higher school-based greenness exposure was beneficially associated with lipid levels among Chinese children and adolescents, and part of the association can be explained by lowed PM2.5 levels.
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Affiliation(s)
- Li-Xin Hu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shujun Fan
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Xiao-Xuan Liu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Li-Wen Hu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Gongbo Chen
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiao-Wen Zeng
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Zhicong Yang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Ya-Jun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Augustin J, Bei der Kellen R, Behrendt CA, Magnussen C, Terschüren C, Ascone L, Kühn S, Wolf S, Augustin M, Andrees V. Associations between a Subjective Living Environment and Quality of Life among People with Arterial Hypertension-Results from the Hamburg City Health Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:180. [PMID: 36612502 PMCID: PMC9819795 DOI: 10.3390/ijerph20010180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/16/2022] [Accepted: 12/18/2022] [Indexed: 06/17/2023]
Abstract
Hypertension is a global public health concern and an important contributor to cardiovascular disease. It remains disputed how important life circumstances are for the etiology of hypertension. Thus, the aim of this study is to assess the spatial variation of hypertension within an urban population and to investigate the association with the quality of life of city dwellers and their subjective evaluation of their residential district, as well as their home environment, using the example of Hamburg, Germany. In this cross-sectional study, the first 10,000 participants from the Hamburg City Health Study (HCHS) were analysed. Only participants who had resided at the current address for a minimum of five years were considered. In the descriptive analysis, participants with and without arterial hypertension were compared considering various parameters. The subjective quality of the living environment was obtained using an appropriate subjective living environment index. Quality of life was mapped using the EuroQol Group quality of life questionnaire (EQ-5D) score and the two (mental and physical health) scores of the Short Form Health Questionnaire SF-8. The Gini-coefficient was used to quantify the regional economic variation within Hamburg. Linear and logistic regression analyses were performed. Regional levels were 68 city district clusters in Hamburg. The analysis included n = 8192 participants living at least five years in Hamburg at the time of participation in the HCHS. There was a spatial variation in the prevalence of arterial hypertension within Hamburg. Prevalence rates between city district clusters ranged from 50.0% to 88.5%. The results showed that city district clusters with a worse subjective perception of the living environment were partly associated with an increased prevalence of arterial hypertension. Furthermore, a negative association was observed between arterial hypertension prevalence and the sociodemographic status of participants in the city district clusters. Thus, participants with a high level of education suffered less frequently from arterial hypertension than participants with a rather low level of education. The subjective living environment index and quality of life were significantly related to the occurrence of arterial hypertension; however, more extensive and detailed studies are necessary to derive possible clinical implications.
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Affiliation(s)
- Jobst Augustin
- Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Ramona Bei der Kellen
- Epidemiological Study Center, Hamburg City Health Study (HCHS), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Christian-Alexander Behrendt
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Christina Magnussen
- Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
- Population Health Research Department, University Heart & Vascular Center Hamburg, 20251 Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), DZHK-Geschäftsstelle, 10785 Berlin, Germany
| | - Claudia Terschüren
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Leonie Ascone
- Clinic and Polyclinic for Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Simone Kühn
- Clinic and Polyclinic for Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, 14195 Berlin, Germany
| | - Sandra Wolf
- Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Matthias Augustin
- Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
| | - Valerie Andrees
- Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
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Bivoltsis A, Christian H, Ambrosini GL, Hooper P, Pulker CE, Thornton L, Trapp GSA. The community food environment and its association with diet, health or weight status in Australia: A systematic review with recommendations for future research. Health Promot J Austr 2022; 34:328-365. [PMID: 36433658 DOI: 10.1002/hpja.679] [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: 04/28/2022] [Revised: 10/20/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022] Open
Abstract
ISSUE ADDRESSED This study systematically reviewed Australian literature to determine if an association exists between geospatial exposure to food outlets and diet, health or weight status. Recommendations for future research are provided. METHODS A systematic literature search was conducted in December 2021 using CINAHL Plus, PubMed and Web of Science databases. Data were extracted, as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality was assessed using an eight-item checklist. A descriptive synthesis of study characteristics and findings was carried out, stratified via study outcomes. RESULTS Of the 36 included articles, the majority were from Victoria (n = 19), involving adult participants (n = 30) and cross-sectional in design (n = 27). Overall, associations were mainly null (nonsignificant) for diet (80%), weight status (75%) and health outcomes (90%). Significant findings were mixed with no positive trend with study quality. CONCLUSIONS Six recommendations are suggested to address current knowledge gaps and limitations in the Australian evidence base: (1) Conduct research on different populations; (2) Employ robust study designs that can test the impact of change over time; (3) Improve the accuracy of food outlet data sources; (4) Improve food outlet geospatial exposure measures; (5) Improve measurement of outcome variables; and (6) Incorporate theoretical models into study design and data analysis. SO WHAT?: Improving the quality and consistency of research will be critical to informing locally relevant policy. Despite the present limitations in the evidence base, it is reasonable to assume that decisions to purchase and consume food are driven by availability and access. Thus, policy and planning aimed at improving the overall "healthiness" of the community food environment by increasing access to healthy food outlets is warranted to ensure that healthy options are easier choice for all.
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Affiliation(s)
| | - Hayley Christian
- Telethon Kids Institute, The University of Western Australia, Perth, Australia.,School of Population and Global Health, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Gina L Ambrosini
- Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, Western Australia, Australia
| | - Paula Hooper
- The Australian Urban Design Research Centre (AUDRC), School of Design, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Claire E Pulker
- School of Population Health, Curtin University, Bentley, Western Australia, Australia.,Community & Population Health, East Metropolitan Health Service, Perth, Western Australia, Australia
| | - Lukar Thornton
- Department of Marketing, Faculty of Business and Economics, University of Antwerp, Antwerp, Belgium
| | - Gina S A Trapp
- Telethon Kids Institute, Nedlands, Western Australia, Australia.,School of Population and Global Health, The University of Western Australia, Nedlands, Western Australia, Australia
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10
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Digitalization in Food Supply Chains: A Bibliometric Review and Key-Route Main Path Analysis. SUSTAINABILITY 2021. [DOI: 10.3390/su14010083] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Technological advances such as blockchain, artificial intelligence, big data, social media, and geographic information systems represent a building block of the digital transformation that supports the resilience of the food supply chain (FSC) and increases its efficiency. This paper reviews the literature surrounding digitalization in FSCs. A bibliometric and key-route main path analysis was carried out to objectively and analytically uncover the knowledge development in digitalization within the context of sustainable FSCs. The research began with the selection of 2140 articles published over nearly five decades. Then, the articles were examined according to several bibliometric metrics such as year of publication, countries, institutions, sources, authors, and keywords frequency. A keyword co-occurrence network was generated to cluster the relevant literature. Findings of the review and bibliometric analysis indicate that research at the intersection of technology and the FSC has gained substantial interest from scholars. On the basis of keyword co-occurrence network, the literature is focused on the role of information communication technology for agriculture and food security, food waste and circular economy, and the merge of the Internet of Things and blockchain in the FSC. The analysis of the key-route main path uncovers three critical periods marking the development of technology-enabled FSCs. The study offers scholars a better understanding of digitalization within the agri-food industry and the current knowledge gaps for future research. Practitioners may find the review useful to remain ahead of the latest discussions of technology-enabled FSCs. To the authors’ best knowledge, the current study is one of the few endeavors to explore technology-enabled FSCs using a comprehensive sample of journal articles published during the past five decades.
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11
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Carroll SJ, Turrell G, Dale MJ, Daniel M. Associations between supermarket availability and body size in Australia: a cross-sectional observational study comparing state and territory capital cities. BMC Public Health 2021; 21:407. [PMID: 33632182 PMCID: PMC7908780 DOI: 10.1186/s12889-021-10458-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 02/17/2021] [Indexed: 11/22/2022] Open
Abstract
Background Residential environment features such as availability of supermarkets may shape dietary behaviour and thus overweight and obesity. This relationship may not be consistent between cities. This Australian national-level study examined: 1) the relationship between supermarket availability and body size; and 2) whether this relationship varied by capital city. Methods This study used 2017–18 Australian National Health Survey data including individual-level socio-demographic information (age, sex, country of birth, education, occupation, household income), and measured body size (height and weight to derive body mass index [BMI], and waist circumference [WC]). Objectively-expressed measures of residential environments included: counts of supermarkets (major chain outlets), counts of amenities (representing walkable destinations including essential services, recreation, and entertainment), and area of public open space - each expressed within road-network buffers at 1000 m and 1500 m; population density (1km2 grid cells); and neighbourhood disadvantage (Index of Relative Socioeconomic Disadvantage) expressed within Statistical Area Level 1 units. Data for adult respondents ≥18 years residing in each of Australia’s state and territory capital cities (n = 9649) were used in multilevel models to estimate associations between supermarket availability and body size sequentially accounting for individual and other environment measures. An interaction term estimated city-specific differences in associations between supermarket availability and body size. Models were consequently repeated stratified by city. Results Body size (BMI and WC) and supermarket availability varied between cities. Initial inverse associations between supermarket availability and body size (BMI and WC) were attenuated to null with inclusion of all covariates, except for BMI in the 1000 m buffer model (beta = − 0.148, 95%CI -0.27, − 0.01, p = 0.025). In stratified analyses, the strengths of associations varied between cities, remaining statistically significant only for some cities (BMI: Melbourne, Brisbane Hobart; WC: Brisbane, Hobart) in fully adjusted models. Different patterns of attenuation of associations with inclusion of covariates were evident for different cities. Conclusions For Australian capital cities, greater availability of supermarkets is associated with healthful body size. Marked between-city variations in body size, supermarket availability, and relationships between supermarket availability and body size do not, however, support universal, “one-size-fits-all” solutions to change built environments to support healthful body size.
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Affiliation(s)
- Suzanne J Carroll
- Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, 23B21, 11 Kirinari St, Bruce, ACT, Australia.
| | - Gavin Turrell
- Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, 23B21, 11 Kirinari St, Bruce, ACT, Australia
| | - Michael J Dale
- Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, 23B21, 11 Kirinari St, Bruce, ACT, Australia
| | - Mark Daniel
- Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, 23B21, 11 Kirinari St, Bruce, ACT, Australia.,Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Victoria, Australia
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12
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Needham C, Sacks G, Orellana L, Robinson E, Allender S, Strugnell C. A systematic review of the Australian food retail environment: Characteristics, variation by geographic area, socioeconomic position and associations with diet and obesity. Obes Rev 2020; 21:e12941. [PMID: 31802612 DOI: 10.1111/obr.12941] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 07/12/2019] [Accepted: 08/07/2019] [Indexed: 02/04/2023]
Abstract
There is strong support across multiple sectors for the implementation of policies to create healthier food environments as part of comprehensive strategies to address obesity and improve population diets. The existing evidence base describing food retail environments and their relationship with health outcomes is limited in several respects. This systematic review examines the current evidence regarding food retail environments in Australia, including associations with diet and people with obesity, and socioeconomic and geographic disparities. Three databases were searched and independently screened. Studies were included if they were undertaken in Australia and objectively measured the food retail environment. Sixty papers were included. The broad range of methodological approaches used across studies limited the ability to synthesize the evidence and draw conclusions. Results indicated that there is some evidence that disparities exist in food retail environments across measures of socioeconomic position and geographic area in parts of Australia. Overall, there were inconsistent findings regarding the association between the healthiness of food retail environments and diet or people with obesity. Findings support previous calls for standardized tools and measures for monitoring the healthiness of food retail environments. This is imperative to inform evidence-based policy and evaluation in this critical component of recommended obesity prevention strategies.
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Affiliation(s)
- Cindy Needham
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Gary Sacks
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Liliana Orellana
- Biostatistics Unit, Faculty of Health, Deakin University, Geelong, Australia
| | - Ella Robinson
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Steven Allender
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Claudia Strugnell
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Australia
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13
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Li Y, Mallinson PAC, Bhan N, Turner C, Bhogadi S, Sharma C, Aggarwal A, Kulkarni B, Kinra S. Neighborhood physical food environment and cardiovascular risk factors in India: Cross-sectional evidence from APCAPS. ENVIRONMENT INTERNATIONAL 2019; 132:105108. [PMID: 31473412 PMCID: PMC6857431 DOI: 10.1016/j.envint.2019.105108] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 08/16/2019] [Accepted: 08/19/2019] [Indexed: 06/10/2023]
Abstract
There has been increasing interest in associations between neighborhood food environments and cardiovascular risk factors. However, results from high-income countries remain inconsistent, and there has been limited research from low- and middle-income countries. We conducted a cross-sectional analysis of the third wave follow-up of the Andhra Pradesh children and parents study (APCAPS) (n = 5764, median age 28.8 years) in south India. We examined associations between the neighborhood availability (vendor density per km2 within 400 m and 1600 m buffers of households) and accessibility (distance from the household to the nearest vendor) of fruit/vegetable and highly processed/take-away food vendors with 11 cardiovascular risk factors, including adiposity measures, glucose-insulin, blood pressure, and lipid profile. In fully adjusted models, higher density of fruit/vegetable vendors within 400 m of participant households was associated with lower systolic blood pressure [-0.09 mmHg, 95% confidence interval (CI): -0.17, -0.02] and diastolic blood pressure (-0.10 mmHg, 95% CI: -0.17, -0.04). Higher density of highly processed/take-away food vendors within 400 m of participant households was associated with higher Body Mass Index (0.01 Kg/m2, 95% CI: 0.00, 0.01), waist circumference (0.22 mm, 95% CI: 0.05, 0.39), systolic blood pressure (0.03 mmHg, 95% CI: 0.01, 0.06), and diastolic blood pressure (0.03 mmHg, 95% CI: 0.01, 0.05). However, within 1600 m buffer, only association with blood pressure remained robust. No associations were found for between neighborhood accessibility and cardiovascular risk factors. Lower density of fruit/vegetable vendors, and higher density of highly processed/take-away food vendors were associated with adverse cardiovascular risk profiles. Public health policies regarding neighborhood food environments should be encouraged in south India and other rural communities in south Asia.
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Affiliation(s)
- Yingjun Li
- Department of Epidemiology and Health Statistics, Hangzhou Medical College School of Public Health, Hangzhou, China.
| | | | - Nandita Bhan
- Public Health Foundation of India, Plot 47, Sector 44, Gurgaon, India
| | - Christopher Turner
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Santhi Bhogadi
- South Asia Network for Chronic Disease, Public Health Foundation of India, New Delhi, India
| | - Chitra Sharma
- Public Health Foundation of India, Plot 47, Sector 44, Gurgaon, India
| | - Aastha Aggarwal
- Centre for Control of Chronic Conditions, Public Health Foundation of India, New Delhi, India
| | | | - Sanjay Kinra
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
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14
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Baldock KL, Paquet C, Howard NJ, Coffee NT, Taylor AW, Daniel M. Correlates of Discordance between Perceived and Objective Distances to Local Fruit and Vegetable Retailers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16071262. [PMID: 30970565 PMCID: PMC6480361 DOI: 10.3390/ijerph16071262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 04/07/2019] [Accepted: 04/08/2019] [Indexed: 11/26/2022]
Abstract
Background: Perceptions of neighbourhood attributes such as proximity of food retailers that are discordant with objective measures of the same are associated with poor health behaviours and weight gain. Factors associated with discordant perceptions are likely relevant to planning more effective interventions to improve health. Purpose: Analysis of cross-sectional relationships between individual and neighbourhood factors and overestimations of walking distances to local fruit/vegetable retailers (FVR). Methods: Perceived walking times, converted to distances, between participant residences and FVR were compared with objectively-assessed road network distances calculated with a Geographic Information System for n = 1305 adults residing in Adelaide, South Australia. Differences between perceived and objective distances were expressed as ‘overestimated’ distances and were analysed relative to perceptions consistent with objective distances. Cross-sectional associations were evaluated between individual socio-demographic, health, and area-level characteristics and overestimated distances to FVR using multilevel logistic regression. Results: Agreement between objective and perceived distances between participants’ residence and the nearest FVR was only fair (weighted kappa = 0.22). Overestimated distances to FVR were positively associated with mental well-being, and were negatively associated with household income, physical functioning, sense of community, and objective distances to greengrocers. Conclusions: Individual characteristics and features of neighbourhoods were related to overestimated distances to FVR. Sense of connectivity and shared identity may shape more accurate understandings of local resource access, and offer a focal point for tailored public health initiatives that bring people together to achieve improved health behaviour.
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Affiliation(s)
- Katherine L Baldock
- Australian Centre for Precision Health, School of Health Sciences, University of South Australia, Adelaide, SA 5001, Australia.
| | - Catherine Paquet
- Australian Centre for Precision Health, School of Health Sciences, University of South Australia, Adelaide, SA 5001, Australia.
| | - Natasha J Howard
- Division of Health Sciences, University of South Australia, Adelaide, SA 5001, Australia.
- Wardliparingga Aboriginal Health Equity Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5001, Australia.
| | - Neil T Coffee
- Centre for Research & Action in Public Health, Health Research Institute, Faculty of Health, University of Canberra, Canberra, ATC 2601, Australia.
| | - Anne W Taylor
- Population Research and Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, SA 5001, Australia.
| | - Mark Daniel
- Centre for Research & Action in Public Health, Health Research Institute, Faculty of Health, University of Canberra, Canberra, ATC 2601, Australia.
- South Australian Health and Medical Research Institute, Adelaide, SA 5001, Australia.
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia.
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15
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Neighborhood Perceptions Associated with Gambling Outcomes. CANADIAN JOURNAL OF ADDICTION 2018. [DOI: 10.1097/cxa.0000000000000035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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16
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Revisiting the Role of Place in Geographic Information Science. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2018. [DOI: 10.3390/ijgi7090364] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Although place-based investigations into human phenomena have been widely conducted in the social sciences over the last decades, this notion has only recently transgressed into Geographic Information Science (GIScience). Such a place-based GIS comprises research from computational place modeling on one end of the spectrum, to purely theoretical discussions on the other end. Central to all research that is concerned with place-based GIS is the notion of placing the individual at the center of the investigation, in order to assess human-environment relationships. This requires the formalization of place, which poses a number of challenges. The first challenge is unambiguously defining place, to subsequently be able to translate it into binary code, which computers and geographic information systems can handle. This formalization poses the next challenge, due to the inherent vagueness and subjectivity of human data. The last challenge is ensuring the transferability of results, requiring large samples of subjective data. In this paper, we re-examine the meaning of place in GIScience from a 2018 perspective, determine what is special about place, and how place is handled both in GIScience and in neighboring disciplines. We, therefore, adopt the view that space is a purely geographic notion, reflecting the dimensions of height, depth, and width in which all things occur and move, while place reflects the subjective human perception of segments of space based on context and experience. Our main research questions are whether place is or should be a significant (sub)topic in GIScience, whether it can be adequately addressed and handled with established GIScience methods, and, if not, which other disciplines must be considered to sufficiently account for place-based analyses. Our aim is to conflate findings from a vast and dynamic field in an attempt to position place-based GIS within the broader framework of GIScience.
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