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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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Xu M, Wilson JP, Bruine de Bruin W, Lerner L, Horn AL, Livings MS, de la Haye K. New insights into grocery store visits among east Los Angeles residents using mobility data. Health Place 2024; 87:103220. [PMID: 38492528 DOI: 10.1016/j.healthplace.2024.103220] [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: 10/31/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/18/2024]
Abstract
In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.
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Affiliation(s)
- Mengya Xu
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA.
| | - John P Wilson
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA; Department of Sociology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 851 Downey Way HSH 314, Los Angeles, CA 90089, USA; Department of Civil & Environmental Engineering and Computer Science, Viterbi School of Engineering, University of Southern California, 3650 McClintock Avenue, Los Angeles, CA 90089, USA; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto Street, Los Angeles, CA 90032, USA; School of Architecture, University of Southern California, 850 Bloom Walk WAH 204, Los Angeles, CA 90089, USA.
| | - Wändi Bruine de Bruin
- Sol Price School of Public Policy, University of Southern California, 650 Childs Way RGL 311, Los Angeles, CA 90089, USA; Department of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, 3620 S McClintock Avenue SGM 501, Los Angeles, CA 90089, USA; Center for Economic and Social Research, University of Southern California, Los Angeles, 635 Downey Way VPD, Los Angeles, CA 90089, USA.
| | - Leo Lerner
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA.
| | - Abigail L Horn
- Information Sciences Institute and Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, 3650 McClintock Avenue, Los Angeles, CA 90089, USA.
| | - Michelle Sarah Livings
- Center for Research on Child and Family Wellbeing, School of Public & International Affairs, Princeton University, Princeton, NJ 08544, USA.
| | - Kayla de la Haye
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA; Center for Economic and Social Research, University of Southern California, Los Angeles, 635 Downey Way VPD, Los Angeles, CA 90089, USA.
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3
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Pineda E, Stockton J, Scholes S, Lassale C, Mindell JS. Food environment and obesity: a systematic review and meta-analysis. BMJ Nutr Prev Health 2024; 7:204-211. [PMID: 38966119 PMCID: PMC11221287 DOI: 10.1136/bmjnph-2023-000663] [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: 03/27/2023] [Accepted: 03/21/2024] [Indexed: 07/06/2024] Open
Abstract
Background Obesity is influenced by a complex, multifaceted system of determinants, including the food environment. Governments need evidence to act on improving the food environment. The aim of this study was to review the evidence from spatial environmental analyses and to conduct the first series of meta-analyses to assess the impact of the retail food environment on obesity. Methods We performed a systematic review and random-effects meta-analyses, focusing on geographical-statistical methods to assess the associations between food outlet availability and obesity. We searched OvidSP-Medline, Scielo, Scopus and Google Scholar databases up to January 2022. The search terms included spatial analysis, obesity and the retail food environment. Effect sizes were pooled by random-effects meta-analyses separately according to food outlet type and geographical and statistical measures. Findings Of the 4118 retrieved papers, we included 103 studies. Density (n=52, 50%) and linear and logistic regressions (n=68, 66%) were the main measures used to assess the association of the food environment with obesity. Multilevel or autocorrelation analyses were used in 35 (34%) studies. Fast-food outlet proximity was positively and significantly associated with obesity (OR: 1.15, 95% CI: 1.02 to 1.30, p=0.02). Fresh fruit and vegetable outlet density and supermarket proximity were inversely associated with obesity (OR: 0.93, 95% CI: 0.90 to 0.96, p<0.001; OR: 0.90, 95% CI: 0.82 to 0.98, p=0.02). No significant associations were found for restaurants, convenience stores or any of the body mass index measures. Conclusions Food outlets which sell mostly unhealthy and ultra-processed foods were associated with higher levels of obesity, while fruit and vegetable availability and supermarket accessibility, which enable healthier food access, were related to lower levels of obesity. The regulation of food outlets through zoning laws may not be enough to tackle the burden of obesity. Regulations that focus on increasing the availability of healthy food within stores and ensure overall healthy food environments require further attention. PROSPERO registration number CRD42018111652.
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Affiliation(s)
- Elisa Pineda
- The George Institute for Global Health UK, Imperial College London, London, UK
- School of Public Health, Imperial College London, London, UK
| | - Jemima Stockton
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Shaun Scholes
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Camille Lassale
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Jennifer S Mindell
- Research Department of Epidemiology and Public Health, University College London, London, UK
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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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5
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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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6
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Li S, Zhang J, Moriyama M, Kazawa K. Spatially heterogeneous associations between the built environment and objective health outcomes in Japanese cities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:1205-1217. [PMID: 35670499 DOI: 10.1080/09603123.2022.2083086] [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: 01/08/2022] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
The built environment is a structural determinant of health. Here we reveal spatially heterogeneous associations of built environment indicators with objective health outcomes (morbidity) by combining a random forest (RF) approach and a multiscale geographically weighted (MGWR) regression method. Using data from six Japanese cities, we found that the ratio of morbidity has obvious spatial agglomerations. The mixed land-use diversity with 1000 m buffer, distance to hospital, proportion of park area with 300 m buffer, and house price with 2000 m buffer, negatively affect health outcomes at all locations. For most locations, high PM2.5 or high floor area ratio with 2000 m buffer are linked to a high ratio of morbidity. Our findings support the use of such data for long-term urban and health planning. We expect our study to be a starting point for further research on spatially heterogeneous associations of the built environment with comprehensive health outcomes.
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Affiliation(s)
- Shuangjin Li
- Mobilities and Urban Policy Lab, Graduate School for International Development and Cooperation, Hiroshima University, Higashihiroshima, Japan
| | - Junyi Zhang
- Mobilities and Urban Policy Lab, Graduate School for International Development and Cooperation, Hiroshima University, Higashihiroshima, Japan
- Graduate School of Advanced Science and Engineering, Hiroshima University, Japan
| | - Michiko Moriyama
- Division of Nursing Science, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Kana Kazawa
- Endowed Course, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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Horn AL, Bell BM, Bulle Bueno BG, Bahrami M, Bozkaya B, Cui Y, Wilson JP, Pentland A, Moro E, de la Haye K. Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations. NPJ Digit Med 2023; 6:208. [PMID: 37968446 PMCID: PMC10651929 DOI: 10.1038/s41746-023-00949-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 10/18/2023] [Indexed: 11/17/2023] Open
Abstract
The characteristics of food environments people are exposed to, such as the density of fast food (FF) outlets, can impact their diet and risk for diet-related chronic disease. Previous studies examining the relationship between food environments and nutritional health have produced mixed findings, potentially due to the predominant focus on static food environments around people's homes. As smartphone ownership increases, large-scale data on human mobility (i.e., smartphone geolocations) represents a promising resource for studying dynamic food environments that people have access to and visit as they move throughout their day. This study investigates whether mobility data provides meaningful indicators of diet, measured as FF intake, and diet-related disease, evaluating its usefulness for food environment research. Using a mobility dataset consisting of 14.5 million visits to geolocated food outlets in Los Angeles County (LAC) across a representative sample of 243,644 anonymous and opted-in adult smartphone users in LAC, we construct measures of visits to FF outlets aggregated over users living in neighborhood. We find that the aggregated measures strongly and significantly correspond to self-reported FF intake, obesity, and diabetes in a diverse, representative sample of 8,036 LAC adults included in a population health survey carried out by the LAC Department of Public Health. Visits to FF outlets were a better predictor of individuals' obesity and diabetes than their self-reported FF intake, controlling for other known risks. These findings suggest mobility data represents a valid tool to study people's use of dynamic food environments and links to diet and health.
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Affiliation(s)
- Abigail L Horn
- Information Sciences Institute and Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Brooke M Bell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA
| | | | - Mohsen Bahrami
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Burçin Bozkaya
- Sabanci Business School, Sabanci University, Istanbul, Turkey
| | - Yan Cui
- Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - John P Wilson
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
- Departments of Civil & Environmental Engineering and Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Alex Pentland
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Esteban Moro
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
- Departamento de Matemáticas & GISC, Universidad Carlos III de Madrid, Leganés, Spain
| | - Kayla de la Haye
- Institute for Food System Equity, Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
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Reddy KP, Eberly LA, Julien HM, Giri J, Fanaroff AC, Groeneveld PW, Khatana SAM, Nathan AS. Association between racial residential segregation and Black-White disparities in cardiovascular disease mortality. Am Heart J 2023; 264:143-152. [PMID: 37364747 PMCID: PMC10923556 DOI: 10.1016/j.ahj.2023.06.010] [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: 02/24/2023] [Revised: 06/08/2023] [Accepted: 06/21/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND Racial residential segregation is associated with racial health inequities, but it is unclear if segregation may exacerbate Black-White disparities in cardiovascular disease (CVD) mortality. This study aimed to assess associations between Black-White residential segregation, CVD mortality rates among non-Hispanic (NH) Black and NH White populations, and Black-White disparities in CVD mortality. METHODS This cross-sectional study analyzed Black-White residential segregation, as measured by county-level interaction index, of US counties, county-level CVD mortality among NH White and NH black adults aged 25 years and older, and county-level Black-White disparities in CVD mortality in years 2014 to 2017. Age-adjusted, county-level NH Black CVD mortality rates and NH White cardiovascular disease mortality rates, as well as group-level relative risk ratios for Black-White cardiovascular disease mortality, were calculated. Sequential generalized linear models adjusted for county-level socioeconomic and neighborhood factors were used to estimate associations between residential segregation and cardiovascular mortality rates among NH Black and NH White populations. Relative risk ratio tests were used to compare Black-White disparities in the most segregated counties to disparities in the least segregated counties. RESULTS We included 1,286 counties with ≥5% Black populations in the main analysis. Among adults aged ≥25 years, there were 2,611,560 and 408,429 CVD deaths among NH White and NH Black individuals, respectively. In the unadjusted model, counties in the highest tertile of segregation had 9% higher (95% CI, 1%-20% higher, P = .04) rates of NH Black CVD mortality than counties in the lowest tertile of segregation. In the multivariable adjusted model, the most segregated counties had 15% higher (95% CI, 0.5% to 38% higher, P = .04) rates of NH Black CVD mortality than the least segregated counties. In the most segregated counties, NH Black individuals were 33% more likely to die of CVD than NH White individuals (RR 1.33, 95% CI 1.32 to 1.33, P < .001). CONCLUSIONS Counties with increased Black-White residential segregation have higher rates of NH Black CVD mortality and larger Black-White disparities in CVD mortality. Identifying the causal mechanisms through which racial residential segregation widens disparities in CVD mortality requires further study.
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Affiliation(s)
- Kriyana P Reddy
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA.
| | - Lauren A Eberly
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Center for Health Equity and Justice, Philadelphia, PA
| | - Howard M Julien
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Center for Health Equity and Justice, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Jay Giri
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Alexander C Fanaroff
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA; Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sameed Ahmed M Khatana
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Ashwin S Nathan
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
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9
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Woodward-Lopez G, Esaryk EE, Hewawitharana SC, Kao J, Talmage E, Rider CD. Supplemental Nutrition Assistance Program Education reductions during COVID-19 may have exacerbated health inequities. SSM Popul Health 2023; 23:101471. [PMID: 37560088 PMCID: PMC10407591 DOI: 10.1016/j.ssmph.2023.101471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 08/11/2023] Open
Abstract
OBJECTIVE Describe, and assess disparities in, the changes in Supplemental Nutrition Assistance Program Education (SNAP-Ed) that occurred the year before vs. the year when COVID-19 restrictions were implemented. DESIGN Observational study comparing reach, intensity, and dose of California Local Health Department (LHD) SNAP-Ed interventions in Federal Fiscal years 2019 and 2020 (FFY19, FFY20). ANALYSIS Student t-tests determined significance of differences in the number of Direct Education (DE) programs, Policy, Systems and Environmental change (PSE) sites, people reached, and intervention intensity and dose between FFY19 and FFY20 using data reported online by LHDs. Linear regression assessed associations between census tract-level characteristics (urbanicity; percentages of population with income <185% of federal poverty level, under 18 years of age, and belonging to various racial/ethnic groups; and California Healthy Places Index) and changes in number of DE programs, PSE sites, people reached, and intervention dose between FFY19 and FFY20. RESULTS From FFY19 to FFY20, the number of DE programs, PSE sites, people reached, and census tract-level intervention intensity and dose decreased. Higher census tract poverty, higher proportions of Black and Latino residents, and less healthy neighborhood conditions were associated with greater decreases in some intervention characteristics including PSE sites, PSE reach, DE programs, and DE dose. CONCLUSIONS AND IMPLICATIONS These reductions in LHD SNAP-Ed interventions indicate reduced access to education and environments that support healthy eating and obesity prevention during a time when this support was especially needed to reduce risk of COVID-19 infection and complications. Disproportionately reduced access, may have worsened health disparities in already-disadvantaged communities. Assuring maintenance of SNAP-Ed interventions, especially in disadvantaged communities, should be a priority during public health emergencies.
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Affiliation(s)
- Gail Woodward-Lopez
- University of California, Nutrition Policy Institute, Division of Agriculture and Natural Resources, 1111 Franklin Street, 11th Floor, Oakland, CA, 94607, USA
| | - Erin E. Esaryk
- University of California, Nutrition Policy Institute, Division of Agriculture and Natural Resources, 1111 Franklin Street, 11th Floor, Oakland, CA, 94607, USA
| | - Sridharshi C. Hewawitharana
- University of California, Nutrition Policy Institute, Division of Agriculture and Natural Resources, 1111 Franklin Street, 11th Floor, Oakland, CA, 94607, USA
| | - Janice Kao
- University of California, Nutrition Policy Institute, Division of Agriculture and Natural Resources, 1111 Franklin Street, 11th Floor, Oakland, CA, 94607, USA
| | - Evan Talmage
- University of California, Nutrition Policy Institute, Division of Agriculture and Natural Resources, 1111 Franklin Street, 11th Floor, Oakland, CA, 94607, USA
| | - Carolyn D. Rider
- University of California, Nutrition Policy Institute, Division of Agriculture and Natural Resources, 1111 Franklin Street, 11th Floor, Oakland, CA, 94607, USA
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10
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Xu J, Jing Y, Xu X, Zhang X, Liu Y, He H, Chen F, Liu Y. Spatial scale analysis for the relationships between the built environment and cardiovascular disease based on multi-source data. Health Place 2023; 83:103048. [PMID: 37348293 DOI: 10.1016/j.healthplace.2023.103048] [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: 09/15/2022] [Revised: 05/12/2023] [Accepted: 05/19/2023] [Indexed: 06/24/2023]
Abstract
To examine what built environment characteristics improve the health outcomes of human beings is always a hot issue. While a growing literature has analyzed the link between the built environment and health, few studies have investigated this relationship across different spatial scales. In this study, eighteen variables were selected from multi-source data and reduced to eight built environment attributes using principal component analysis. These attributes included socioeconomic deprivation, urban density, street walkability, land-use diversity, blue-green space, transportation convenience, ageing, and street insecurity. Multiscale geographically weighted regression was then employed to clarify how these attributes relate to cardiovascular disease at different scales. The results indicated that: (1) multiscale geographically weighted regression showed a better fit of the association between the built environment and cardiovascular diseases than other models (e.g., ordinary least squares and geographically weighted regression), and is thus an effective approach for multiscale analysis of the built environment and health associations; (2) built environment variables related to cardiovascular diseases can be divided into global variables with large scales (e.g., socioeconomic deprivation, street walkability, land-use diversity, blue-green space, transportation convenience, and ageing) and local variables with small scales (e.g., urban density and street insecurity); and (3) at specific spatial scales, global variables had trivial spatial variation across the area, while local variables showed significant gradients. These findings provide greater insight into the association between the built environment and lifestyle-related diseases in densely populated cities, emphasizing the significance of hierarchical and place-specific policy formation in health interventions.
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Affiliation(s)
- Jiwei Xu
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, PR China
| | - Ying Jing
- Business School, Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, PR China
| | - Xinkun Xu
- Fujian Provincial Expressway Information Technology Company Limited, Fuzhou, 350000, PR China
| | - Xinyi Zhang
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, PR China
| | - Yanfang Liu
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, PR China; Key Laboratory of Geographic Information System of Ministry of Education, Wuhan University, Wuhan, 430079, PR China; Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, 430079, PR China
| | - Huagui He
- Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou, 510060, PR China
| | - Fei Chen
- Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou, 510060, PR China
| | - Yaolin Liu
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, PR China; Key Laboratory of Geographic Information System of Ministry of Education, Wuhan University, Wuhan, 430079, PR China; Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, 430079, PR China.
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11
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Cunningham SD, Mandelbaum J, Shebl FM, Abraham M, O’Connor Duffany K. Neighborhood Social Environment and Body Mass Index: The Mediating Role of Mental Wellbeing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6602. [PMID: 37623185 PMCID: PMC10454589 DOI: 10.3390/ijerph20166602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 08/26/2023]
Abstract
The association between neighborhood-built environment and body mass index (BMI) is well-characterized, whereas fewer studies have explored the mechanisms underlying the relationship between neighborhood social environment and obesogenic behaviors. Using data from a random sample of 16,820 residents ≥18 years from all 169 Connecticut towns and seven ZIP Codes in New York, this study examines the influence of neighborhood social environment on residents' mental wellbeing, physical activity, and BMI. Structural equation modeling was conducted to estimate direct and indirect effects of neighborhood social environment on BMI, using mental wellbeing and physical activity as intermediate variables. There were significant total [β(SE) = 0.741 (0.170), p < 0.0001], direct [β(SE) = 0.456 (0.1890), p = 0.016], and indirect [β(SE) = 0.285 (0.061), p < 0.0001] effects of neighborhood social environment on BMI. Low physical activity was a partial mediator of the effect of non-favorable neighborhood social environment on BMI [β(SE) = -0.071 (0.011), p < 0.0001]. The association between neighborhood social environment and BMI was also mediated by mental wellbeing [β(SE) = 0.214 (0.060), p < 0.0001], and by mental wellbeing through physical activity [β(SE) = 0.071 (0.011), p < 0.0001]. Study findings provide further support for building strong social environments to improve population health and suggest that strategies prioritizing mental wellbeing may benefit behavioral interventions aimed at reducing obesity risk and should be a focus of prevention efforts in and of itself.
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Affiliation(s)
- Shayna D. Cunningham
- Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT 06032, USA;
| | | | - Fatma M. Shebl
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA 02114, USA;
- Harvard Medical School, Boston, MA 02115, USA
| | | | - Kathleen O’Connor Duffany
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT 06510, USA
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12
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Quashie NT, García C, Meltzer G, Andrade FCD, Matos-Moreno A. Neighborhood socioeconomic position, living arrangements, and cardiometabolic disease among older Puerto Ricans: An examination using PREHCO 2002-2007. PLoS One 2023; 18:e0289170. [PMID: 37527246 PMCID: PMC10393176 DOI: 10.1371/journal.pone.0289170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 07/11/2023] [Indexed: 08/03/2023] Open
Abstract
Cardiometabolic diseases are among the leading causes of mortality worldwide and are increasingly prevalent in rapidly aging populations. Neighborhood socioeconomic position (SEP) and living arrangements are increasingly recognized as important determinants of cardiometabolic health but have not been examined within Puerto Rico. This study examined the association between neighborhood SEP, living arrangements, and incidence of cardiometabolic conditions among island-dwelling older Puerto Ricans, using longitudinal data from the Puerto Rican Elderly Health Conditions Project (Waves I 2002/03 and II 2006/07) linked with 2000 Census data for neighborhood-level conditions. Our sample consists of non-institutionalized adults aged 60 and older who remained in the same residence over both waves of data collection (N = 2,769). We used multilevel multinomial logistic regression models to examine the relationship between neighborhood SEP and the prevalence and incidence of cardiometabolic disease. Findings show that residence in a socioeconomically advantaged neighborhood was positively associated with reporting having one cardiometabolic condition at baseline, but not associated with the incidence of cardiometabolic conditions at follow-up. Living without a partner was negatively associated with reporting having cardiometabolic conditions compared to living with a partner. Similar results were found for the incidence of cardiometabolic conditions. Living arrangements significantly modified the relationship between neighborhood SEP and cardiometabolic conditions. Compared to living with a partner, living alone in a socioeconomically advantaged neighborhood was associated with a reduced risk of reporting having one condition. Living with children in a socioeconomically advantaged neighborhood was associated with a reduced risk of developing one cardiometabolic condition than living with a partner. Living arrangements are more salient to cardiometabolic health than neighborhood SEP. Social programs and services focused on household composition and familial support are needed to identify older Puerto Ricans potentially at risk of underdiagnosed chronic conditions, especially as ongoing economic, demographic, environmental, and healthcare crises potentially exacerbate social inequalities.
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Affiliation(s)
- Nekehia T Quashie
- Department of Health Studies, University of Rhode Island, Kingston, RI, United States of America
| | - Catherine García
- Department of Human Development and Family Science, Aging Studies Institute, Center for Aging and Policy Studies, Lerner Center for Public Health Promotion and Population Health, Syracuse University, Syracuse, NY, United States of America
| | - Gabriella Meltzer
- Departments of Epidemiology and Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, United States of America
| | - Flavia C D Andrade
- School of Social Work, University of Illinois, Urbana-Champaign, Urbana, IL, United States of America
| | - Amílcar Matos-Moreno
- Population Research Institute, The Pennsylvania State University, State College, PA, United States of America
- Clinical Psychology Department, Carlos Albizu University, San Juan, Puerto Rico
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13
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Zang P, Chen K, Zhang H, Qiu H, Yu Y, Huang J. Effect of built environment on BMI of older adults in regions of different socio-economic statuses. Front Public Health 2023; 11:1207975. [PMID: 37483934 PMCID: PMC10361068 DOI: 10.3389/fpubh.2023.1207975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/20/2023] [Indexed: 07/25/2023] Open
Abstract
Background Numerous studies have ignored the influence of underdeveloped urban surroundings on the physical health of China's ageing population. Lanzhou is a typical representative of a less developed city in China. Methods This study investigated the relationship between body mass index (BMI) and built environment amongst older adults in regions of different socio-economic statuses (SES) using data from medical examinations of older adults in Lanzhou, as well as calculating community built environment indicators for regions of different SES based on multiple linear regression models. Results Results showed that age and underlying disease were negatively associated with overall older adult BMI in the study buffer zone. Land use mix, number of parks and streetscape greenery were positively associated with older adult BMI. Street design and distance to bus stops were negatively connected in low SES regions, but population density and street design were negatively correlated in high SES areas. Conclusion These findings indicate that the built environment of SES regions has varying impacts on the BMI of older persons and that planners may establish strategies to lower the incidence of obesity amongst older adults in different SES locations.
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14
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Schiff MD, Mair CF, Barinas-Mitchell E, Brooks MM, Méndez DD, Naimi AI, Reeves A, Hedderson M, Janssen I, Fabio A. Longitudinal profiles of neighborhood socioeconomic vulnerability influence blood pressure changes across the female midlife period. Health Place 2023; 82:103033. [PMID: 37141837 PMCID: PMC10407757 DOI: 10.1016/j.healthplace.2023.103033] [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: 02/02/2023] [Revised: 04/17/2023] [Accepted: 04/21/2023] [Indexed: 05/06/2023]
Abstract
PURPOSE To examine whether longitudinal exposure to neighborhood socioeconomic vulnerability influences blood pressure changes throughout midlife in a racially, ethnically, and geographically-diverse cohort of women transitioning through menopause. METHODS We used longitudinal data on 2738 women (age 42-52 at baseline) living in six United States cities from The Study of Women's Health Across the Nation. Residential histories, systolic blood pressures (SBP), and diastolic blood pressures (DBP) were collected annually for ten years. We used longitudinal latent profile analysis to identify patterns of neighborhood socioeconomic vulnerability occurring from 1996 to 2007 in participant neighborhoods. We used linear mixed-effect models to determine if a woman's neighborhood profile throughout midlife was associated with blood pressure changes. RESULTS We identified four unique profiles of neighborhood socioeconomic vulnerability - differentiated by residential socioeconomic status, population density, and vacant housing conditions - which remained stable across time. Women residing in the most socioeconomically vulnerable neighborhoods experienced the steepest increase in annual SBP growth by 0.93 mmHg/year (95% CI: 0.65-1.21) across ten-year follow-up. CONCLUSIONS Neighborhood socioeconomic vulnerability was significantly associated with accelerated SBP increases throughout midlife among women.
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Affiliation(s)
- Mary D Schiff
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Christina F Mair
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States; Department of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Emma Barinas-Mitchell
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Maria M Brooks
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Dara D Méndez
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Ashley I Naimi
- Department of Epidemiology, School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, United States
| | - Alexis Reeves
- Department of Epidemiology and Population Health, School of Medicine, Stanford University, Palo Alto, 291 Campus Drive, Stanford, CA, 94305, United States
| | - Monique Hedderson
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, United States
| | - Imke Janssen
- Department of Preventive Medicine, Rush University Medical Center, 1620 W Harrison St, Chicago, IL, 60612, United States
| | - Anthony Fabio
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States.
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15
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Tharrey M, Malisoux L, Klein O, Bohn T, Perchoux C. Urban densification over 9 years and change in the metabolic syndrome: A nationwide investigation from the ORISCAV-LUX cohort study. Soc Sci Med 2023; 331:116002. [PMID: 37478660 DOI: 10.1016/j.socscimed.2023.116002] [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: 12/20/2022] [Revised: 05/02/2023] [Accepted: 05/30/2023] [Indexed: 07/23/2023]
Abstract
A growing body of evidence suggests that urban densification may be protective against obesity, type 2 diabetes, and cardiometabolic diseases, yet studies on how built environmental features relate to metabolic syndrome (MetS) and its components are scarce. This longitudinal study examines the associations of baseline urban density and densification over 9 years with MetS and MetS components, among 510 participants enrolled in both waves of the ORISCAV-LUX study (2007-2017) in Luxembourg. A continuous MetS score (siMS) was calculated for each participant. Six features of residential built environments were computed around participants' home address: street connectivity, population density, density of amenities, street network distance to the nearest bus station, density of public transport stations, and land use mix. A composite index of urban densification (UDI) was calculated by averaging the six standardized built environment variables. Using adjusted generalized estimating equation (GEE) models, one-SD increase in UDI was associated with a worsening of the siMS score (β = 0.07, 95% CI: 0.02, 0.13), higher triglyceride levels (β = 0.05, 95% CI: 0.02, 0.09), and lower HDL-c levels (β = -1.29, 95% CI: -2.20, -0.38). The detrimental effect of UDI on lipid levels was significant only for participants living in dense areas at baseline. Higher baseline UDI, as well as increased UDI over time among movers, were also associated with greater waist circumference. There were no associations between UDI, fasting plasma glucose and systolic blood pressure. Sex and neighborhood socio-economic status did not moderate the associations between UDI and the cardiometabolic outcomes. Overall, we found limited evidence for an effect of urban densification on MetS and its components. Understanding urban dynamics remains a challenge, and more research investigating the independent and joint health effect of built environment features is needed to support urban planning and design that promote cardiometabolic health.
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Affiliation(s)
- Marion Tharrey
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg; Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
| | - Laurent Malisoux
- Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Olivier Klein
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg
| | - Torsten Bohn
- Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Camille Perchoux
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg
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16
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Maksimov S, Muromtseva G, Kutsenko V, Shalnova S, Evstifeeva S, Drapkina O. Major and minor ECG abnormalities depending on regional living conditions in Russia. Sci Rep 2023; 13:8934. [PMID: 37264214 DOI: 10.1038/s41598-023-35947-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 05/26/2023] [Indexed: 06/03/2023] Open
Abstract
The goal of our study was to explore the effect of living conditions on the odd of major and minor ECG abnormalities on a large region scale in Russia. For the analysis, cross-sectional data of the Russian study, ESSE-RF 2013-2014, were used. They were collected on a sample of 16,400 subjects from 10 regions of the Russia. ECG abnormalities were grouped into two categories: Major and Minor (sensu the 2009 version of the Minnesota Code Classification System). Regional living conditions were considered comprehensively via five indices combining 33 characteristics of the regions. The estimates were presented as odds ratios and their 95% confidence intervals. The prevalence values of major abnormalities in the sample were 8.4% among women and 9.4% among men (p = 0.021). The prevalence of minor abnormalities constituted 34.1% and 45.9%, respectively (p < 0.001). In men, the odd of major ECG abnormalities increased with the demographic depression growth (1.08: 1.04-1.12) and with industrial development growth in the region (1.12: 1.07-1.17). In women, an increase in the odd of major ECG abnormalities was directly associated with industrial development (1.12: 1.07-1.16) and inversely related to the economic development in the region (0.94: 0.89-0.99). The odd of minor ECG abnormalities in men and women declined with the growth of the regional economic development: OR of 0.95: 0.93-0.98, and OR of 0.92: 0.87-0.99, respectively. The study demonstrated an effect of regional living conditions of the Russian population on the odd of major and minor ECG abnormalities. The most stable and logically explainable relationships were obtained for industrial and economic characteristics of living conditions.
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Affiliation(s)
- Sergey Maksimov
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation.
| | - Galina Muromtseva
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation
| | - Vladimir Kutsenko
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation
| | - Svetlana Shalnova
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation
| | - Svetlana Evstifeeva
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation
| | - Oksana Drapkina
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation
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17
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Gu KD, Faulkner KC, Thorndike AN. Housing instability and cardiometabolic health in the United States: a narrative review of the literature. BMC Public Health 2023; 23:931. [PMID: 37221492 PMCID: PMC10203673 DOI: 10.1186/s12889-023-15875-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/11/2023] [Indexed: 05/25/2023] Open
Abstract
Housing instability is variably defined but generally encompasses difficulty paying rent, living in poor or overcrowded conditions, moving frequently, or spending the majority of household income on housing costs. While there is strong evidence that people experiencing homelessness (i.e., lack of regular housing) are at increased risk for cardiovascular disease, obesity, and diabetes, less is known about housing instability and health. We synthesized evidence from 42 original research studies conducted in the United States examining the association of housing instability and cardiometabolic health conditions of overweight/obesity, hypertension, diabetes, and cardiovascular disease. The included studies varied widely in their definitions and methods of measuring housing instability, but all exposure variables were related to housing cost burden, frequency of moves, living in poor or overcrowded conditions, or experiencing eviction or foreclosure, measured at either the individual household level or at a population level. We also included studies examining the impact of receipt of government rental assistance, which serves as a marker of housing instability given that its purpose is to provide affordable housing for low-income households. Overall, we found mixed but generally adverse associations between housing instability and cardiometabolic health, including higher prevalence of overweight/obesity, hypertension, diabetes, and cardiovascular disease; worse hypertension and diabetes control; and higher acute health care utilization among those with diabetes and cardiovascular disease. We propose a conceptual framework for pathways linking housing instability and cardiometabolic disease that could be targeted in future research and housing policies or programs.
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Affiliation(s)
- Kristine D. Gu
- Division of Endocrinology, Massachusetts General Hospital, 50 Staniford Street, Suite 340, Boston, MA 02114 USA
- Harvard Medical School, Boston, MA USA
| | - Katherine C. Faulkner
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Anne N. Thorndike
- Harvard Medical School, Boston, MA USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA USA
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18
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Tharrey M, Klein O, Bohn T, Malisoux L, Perchoux C. Nine-year exposure to residential greenness and the risk of metabolic syndrome among Luxembourgish adults: A longitudinal analysis of the ORISCAV-Lux cohort study. Health Place 2023; 81:103020. [PMID: 37028115 DOI: 10.1016/j.healthplace.2023.103020] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 04/09/2023]
Abstract
Growing evidence shows a beneficial effect of exposure to greenspace on cardiometabolic health, although limited by the cross-sectional design of most studies. This study examined the long-term associations of residential greenness exposure with metabolic syndrome (MetS) and MetS components within the ORISCAV-LUX study (Wave 1: 2007-2009, Wave 2: 2016-2017, n = 395 adults). Objective exposure to residential greenness was measured in both waves by the Soil-Adjusted Vegetation Index (SAVI) and by Tree Cover Density (TCD). Linear mixed models were fitted to estimate the effect of baseline levels and change in residential greenness on MetS (continuous score: siMS score) and its components (waist circumference, triglycerides, HDL-cholesterol, fasting plasma glucose and systolic blood pressure), respectively. This study provides evidence that an increase in SAVI, but not TCD, may play a role in preventing MetS, as well as improving HDL-cholesterol and fasting plasma glucose levels. Greater baseline SAVI was also associated with lower fasting plasma glucose levels in women and participants living in municipalities with intermediate housing price, and greater baseline TCD was associated with larger waist circumference. Overall, findings suggest a mixed impact of increased greenness on cardiometabolic outcomes. Further longitudinal research is needed to better understand the potential effects of different types of greenness exposure on cardiometabolic outcomes.
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Affiliation(s)
- Marion Tharrey
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg; Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
| | - Olivier Klein
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg
| | - Torsten Bohn
- Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Laurent Malisoux
- Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Camille Perchoux
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg
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19
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Elshaer N, Mohamed A. Relationship Between Rotating Night Shift Work and Anthropometric Markers of Overall and Central Adiposity. Risk Manag Healthc Policy 2023; 16:537-549. [PMID: 37035269 PMCID: PMC10075386 DOI: 10.2147/rmhp.s402411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 03/17/2023] [Indexed: 04/03/2023] Open
Abstract
Purpose This study aimed to investigate possible association between rotating night shift (RNS) work and anthropometric markers of overall and central adiposity among male workers. Methods Medical records of workers who underwent medical examination at the Occupational Medicine Unit affiliated with Alexandria Faculty of Medicine were reviewed in December 2021 to extract data about RNS, overall adiposity [body mass index (BMI) from 25 to 29.9 kg/m2 indicated overweight, while BMI ≥30 kg/m2 indicated obesity], central adiposity (waist circumference ≥94 cm). Univariate and multivariate logistic regression were done to model adiposity as a function of potential demographic, lifestyle, and occupational factors. Results Data of 647 male workers, including daytime workers (26.9%) and RNS workers (73.1%) who spent 1-5 years, 6-9 years, or ≥10 years working RNS, were analyzed. No association was found between RNS work and overall adiposity (BMI ≥30 kg/m2). In multivariate regression, age, residence, and smoking status were predictors of an increased BMI. Compared with young workers (<30 years old), the odds of an increased BMI (BMI ≥25 kg/m2) were 2.6 and 3.01 times higher among workers who were 30-<40, and 40-<50 years old, respectively [95% CI=(1.35, 5.05) and (1.19, 7.56), respectively]. Workers who lived in urban areas were less likely to have had an increased BMI (OR=0.34, 95% CI=0.16, 0.74). The odds of an increased BMI were 2.14 times higher in workers who never smoked compared with current smokers (95% CI=1.12, 4.11). No association was found between RNS and central adiposity. In multivariate regression, age was the sole predictor of central adiposity. Conclusion The study supports the idea that RNS work might not be associated with overall or central adiposity and highlights a possible association between central adiposity and age and association between BMI and age, residence, and smoking behavior. Longitudinal, larger studies are required to explore the relationship between RNS and adiposity.
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Affiliation(s)
- Noha Elshaer
- Industrial Medicine and Occupational Health, Community Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt
- Correspondence: Noha Elshaer, Industrial Medicine and Occupational Health, Community Medicine Department, Faculty of Medicine, Alexandria University, El-Khartoum Square, El Azareeta Medical Campus, Alexandria, 21131, Egypt, Email
| | - Abdelrahman Mohamed
- Preventive Medicine Sector, Ministry of Health and Population, Alexandria, Egypt
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Griggs S, Al-Kindi S, Hardin H, Irani E, Rajagopalan S, Crawford SL, Hickman RL. Socioeconomic deprivation and cardiometabolic risk factors in individuals with type 1 diabetes: T1D exchange clinic registry. Diabetes Res Clin Pract 2023; 195:110198. [PMID: 36513270 PMCID: PMC9908846 DOI: 10.1016/j.diabres.2022.110198] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 09/05/2022] [Accepted: 11/29/2022] [Indexed: 12/14/2022]
Abstract
AIMS Social determinants of health (SDOH) influence cardiovascular health in the general population; however, the degree to which this occurs in individuals with type 1 diabetes (T1D) is not well understood. We evaluated associations among socioeconomic deprivation and cardiometabolic risk factors (hemoglobin A1c, low-density lipoprotein, blood pressure, body mass index, physical activity) in individuals with T1D from the T1D Clinic Exchange Registry. METHODS We evaluated the association between the social deprivation index (SDI) and cardiometabolic risk factors using multivariable and logistic regression among 18,754 participants ages 13 - 90 years (mean 29.2 ± 17) in the T1D Exchange clinic registry from 6,320 zip code tabulation areas (2007-2017). RESULTS SDI was associated with multiple cardiometabolic risk factors even after adjusting for covariates (age, biological sex, T1D duration, and race/ethnicity) in the multivariable linear regression models. Those in the highest socially deprived areas had 1.69 (unadjusted) and 1.78 (adjusted) times odds of a triple concomitant risk burden of poor glycemia, dyslipidemia, and hypertension. CONCLUSIONS Persistent SDOH differences could account for a substantial degree of poor achievement of cardiometabolic targets in individuals with T1D. Our results suggest the need for a broader framework to understand the association between T1D and adverse cardiometabolic outcomes.
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Affiliation(s)
- Stephanie Griggs
- Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH 44106, United States.
| | - Sadeer Al-Kindi
- Center for Vascular Metabolic Disease, School of Medicine, Cleveland, OH, 44106, United States; Cardiovascular Research Institute, Case Western Reserve University, School of Medicine, Cleveland, OH, 44106, United States.
| | - Heather Hardin
- Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH 44106, United States
| | - Elliane Irani
- Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH 44106, United States.
| | - Sanjay Rajagopalan
- Cardiovascular Research Institute, Case Western Reserve University, School of Medicine, Cleveland, OH, 44106, United States.
| | - Sybil L Crawford
- University of Massachusetts Chan Medical School, Tan Chingfen Graduate School of Nursing, Worcester, MA 01655, United States.
| | - Ronald L Hickman
- Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH 44106, United States.
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21
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Christensen A, Griffiths C, Hobbs M, Gorse C, Radley D. Investigating where adolescents engage in moderate to vigorous physical activity and sedentary behaviour: An exploratory study. PLoS One 2022; 17:e0276934. [PMID: 36472978 PMCID: PMC9725162 DOI: 10.1371/journal.pone.0276934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/17/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND There is a persistent lack of understanding on the influence of the environment on behaviour and health. While the environment is considered an important modifiable determinant of health behaviour, past research assessing environments often relies on static, researcher-defined buffers of arbitrary distance. This likely leads to misrepresentation of true environmental exposures. This exploratory study aims to compare researcher-defined and self-drawn buffers in reflecting the spaces and time adolescents engage in physical activity (PA) and sedentary behaviour. It also investigates if adolescent's access the PA facility and greenspace nearest their home or school for PA, as well as examine how much time adolescents spent in PA at any PA facilities and greenspaces. METHODS Adolescents (aged 14-18 years; n = 34) were recruited from schools in West Yorkshire, England. Seven consecutive days of global positioning system (GPS) and accelerometer data were collected at 15 second intervals. Using ArcGIS, we compared 30 different researcher-defined buffers including: radial, network and ellipse buffers at 400m, 800m, 1000m, 1600m and 3000m and participant-defined self-drawn neighbourhoods to objectively measured PA and sedentary space and PA time. Location of PA was also compared to Points of Interest data to determine if adolescents use the nearest PA facility or greenspace to their home or school and to examine how much PA was undertaken within these locations. RESULTS Our exploratory findings show the inadequacy of researcher-defined buffer size in assessing MVPA space or sedentary space. Furthermore, less than 35% of adolescents used the greenspaces or PA facilities nearest to their home or school. Approximately 50% of time spent in PA did not occur within the home, school, PA facility, or greenspace environments. CONCLUSION Our exploratory findings help to begin to quantify the inadequacy of researcher-defined, and self-drawn buffers in capturing adolescent MVPA and sedentary space, as well as time spent in PA. Adolescents often do not use PA facilities and greenspaces nearest their home and school and a large proportion of PA is achieved outside PA facilities and greenspaces. Further research with larger samples are needed to confirm the findings of this exploratory study.
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Affiliation(s)
- Alex Christensen
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
- * E-mail:
| | - Claire Griffiths
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
| | - Matthew Hobbs
- Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Chris Gorse
- School of Built Environment and Engineering, Carnegie, Leeds Beckett University, Leeds, United Kingdom
| | - Duncan Radley
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
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Hiratsuka VY, Reid M, Chang J, Jiang L, Brega AG, Fyfe-Johnson AL, Huyser KR, Johnson-Jennings M, Conway C, Steiner JF, Rockell J, Dillard DA, Moore K, Manson SM, O'Connell J. Associations Between Rurality, pre-pregnancy Health Status, and Macrosomia in American Indian/Alaska Native Populations. Matern Child Health J 2022; 26:2454-2465. [PMID: 36346567 PMCID: PMC10468113 DOI: 10.1007/s10995-022-03536-w] [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] [Accepted: 09/09/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVES To examine the relationships between pre-pregnancy diabetes mellitus (DM), gestational diabetes mellitus (GDM), pre-pregnancy body mass index (BMI) and county-level social determinants of health, with infant macrosomia within a sample of American Indian/Alaska Native (AI/AN) women receiving Indian Health Service (IHS) care. METHODS The sample included women-infant dyads representing 1,136 singleton births from fiscal year 2011 (10/1/2019-9/30/2011). Data stemmed from the IHS Improving Health Care Delivery Data Project. Multivariate generalized linear mixed models were fitted to assess the association of macrosomia with pre-pregnancy health status and social determinants of health. RESULTS Nearly half of the women in the sample were under age 25 years (48.6%), and most had Medicaid health insurance coverage (76.7%). Of those with a pre-pregnancy BMI measure, 66.2% were overweight or obese. Although few women had pre-pregnancy DM (4.0%), GDM was present in 12.8% of women. Most women had a normal term delivery (85.4%). Overweight, obesity, pre-pregnancy DM, and county-level rurality were all significantly associated with higher odds of infant macrosomia.
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Affiliation(s)
- Vanessa Y Hiratsuka
- Research Department, Southcentral Foundation, 4501 Diplomacy Drive, 99508, Anchorage, AK, USA.
- Center for Human Development, University of Alaska Anchorage, 3211 Providence Drive, 99508, 99504, Anchorage, AK, USA.
| | - Margaret Reid
- Department of Health Systems, Management, and Policy, Colorado School of Public Health, University of Colorado Denver, Denver, USA
| | - Jenny Chang
- Department of Medicine, School of Medicine, University of California, 301 Medical Surge II, 92697-7550, Irvine, CA, USA
| | - Luohua Jiang
- Department of Epidemiology, University of California, Irvine, 3076 AIRB, 92697-7550, Irvine, CA, USA
| | - Angela G Brega
- School of Public Health, Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Campus, 13055 East 17th Avenue, 80045, Aurora, Colorado, CO, USA
| | - Amber L Fyfe-Johnson
- Institute for Research and Education to Advance Community Health (IREACH), Department of Medical Education and Clinical Sciences, Washington State University, 1100 Olive Way, Ste 1200, 98101, Seattle, WA, USA
| | - Kimberly R Huyser
- Department of Sociology, The University of British Columbia, Vancouver, USA
| | - Michelle Johnson-Jennings
- Canada Research Chair for Indigenous Community Engaged Research for Indigenous Community Engaged Research, LE Clinical Health Psychologist, University of Saskatchewan, University of Colorado- Associate Professor, University of Washington- Associate Professor, Washington, USA
| | - Cheryl Conway
- NE-BC; Quality Consultant, Charles George Veterans Medical Center, Asheville, NC, USA
| | - John F Steiner
- Institute for Health Research, Department of Medicine, Kaiser Permanente Colorado, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Jennifer Rockell
- Telligen, Inc. Greenwood Village, 7730 E. Belleview Ave Suite 300 Greenwood, 80111, Village, CO, USA
| | - Denise A Dillard
- Research Department, Southcentral Foundation, 4501 Diplomacy Drive, 99508, Anchorage, AK, USA
| | - Kelly Moore
- Centers for American Indian and Alaska Native Health, University of Colorado, Anschutz Medical Campus, Mail Stop F800, 13055 E. 17th Avenue, 80045, Aurora, CO, USA
| | - Spero M Manson
- Centers for American Indian and Alaska Native Health, University of Colorado, Anschutz Medical Campus, Mail Stop F800, 13055 E. 17th Avenue, 80045, Aurora, CO, USA
| | - Joan O'Connell
- Colorado School of Public Health, Centers for American Indian and Alaska Native Health, University of Colorado, Anschutz Medical Campus, Mail Stop F800, 13055 E. 17th Avenue, 80045, Aurora, CO, USA
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Howell NA, Booth GL. The Weight of Place: Built Environment Correlates of Obesity and Diabetes. Endocr Rev 2022; 43:966-983. [PMID: 35201344 PMCID: PMC9695105 DOI: 10.1210/endrev/bnac005] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Indexed: 11/19/2022]
Abstract
In recent decades, the prevalence of obesity and diabetes has risen substantially in North America and worldwide. To address these dual epidemics, researchers and policymakers alike have been searching for effective means to promote healthy lifestyles at a population level. As a consequence, there has been a proliferation of research examining how the "built" environment in which we live influences physical activity levels, by promoting active forms of transportation, such as walking and cycling, over passive ones, such as car use. Shifting the transportation choices of local residents may mean that more members of the population can participate in physical activity during their daily routine without structured exercise programs. Increasingly, this line of research has considered the downstream metabolic consequences of the environment in which we live, raising the possibility that "healthier" community designs could help mitigate the rise in obesity and diabetes prevalence. This review discusses the evidence examining the relationship between the built environment, physical activity, and obesity-related diseases. We also consider how other environmental factors may interact with the built environment to influence metabolic health, highlighting challenges in understanding causal relationships in this area of research.
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Affiliation(s)
| | - Gillian L Booth
- Department of Medicine, University of Toronto, Toronto, ON, Canada.,MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,ICES, Toronto, ON, Canada
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24
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Christensen A, Radley D, Hobbs M, Gorse C, Griffiths C. Investigating how researcher-defined buffers and self-drawn neighbourhoods capture adolescent availability to physical activity facilities and greenspaces: An exploratory study. Spat Spatiotemporal Epidemiol 2022; 43:100538. [PMID: 36460456 DOI: 10.1016/j.sste.2022.100538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/16/2022] [Accepted: 09/13/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Modifying the environment is considered an effective population-level approach for increasing healthy behaviours, but associations remain ambiguous. This exploratory study aims to compare researcher-defined buffers and self-drawn neighbourhoods (SDN) to objectively measured availability of physical activity (PA) facilities and greenspaces in adolescents. METHODS Seven consecutive days of GPS data were collected in an adolescent sample of 14-18 year olds (n = 69). Using Points of Interest and greenspace data, availability of PA opportunities within activity spaces were determined. We compared 30 different definitions of researcher-defined neighbourhoods and SDNs to objectively measured availability. RESULTS Findings showed low agreement for all researcher-defined buffers in measuring the availability of PA facilities in activity spaces. However, results were less clear for greenspace. SDNs also demonstrate low agreement for capturing availability to the PA environment. CONCLUSION This exploratory study highlights the inadequacy of researcher-defined buffers and SDNs to define availability to environmental features.
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Affiliation(s)
- A Christensen
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, LS6 3QT, UK.
| | - D Radley
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, LS6 3QT, UK
| | - M Hobbs
- Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand; GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - C Gorse
- School of Built Environment and Engineering, Carnegie, Leeds Beckett University, Leeds, LS6 3QT, UK
| | - C Griffiths
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, LS6 3QT, UK
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Eskandari F, Lake AA, Rose K, Butler M, O'Malley C. A mixed-method systematic review and meta-analysis of the influences of food environments and food insecurity on obesity in high-income countries. Food Sci Nutr 2022; 10:3689-3723. [PMID: 36348796 PMCID: PMC9632201 DOI: 10.1002/fsn3.2969] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/26/2022] [Accepted: 06/17/2022] [Indexed: 11/10/2022] Open
Abstract
Obesity remains a serious public health concern in rich countries and the current obesogenic food environments and food insecurity are predictors of this disease. The impact of these variables on rising obesity trends is, however, mixed and inconsistent, due to measurement issues and cross-sectional study designs. To further the work in this area, this review aimed to summarize quantitative and qualitative data on the relationship between these variables, among adults and children across high-income countries. A mixed-method systematic review was conducted using 13 electronic databases, up to August 2021. Two authors independently extracted data and evaluated quality of publications. Random-effects meta-analysis was used to estimate the odds ratio (OR) for the association between food insecurity and obesity. Where statistical pooling for extracted statistics related to food environments was not possible due to heterogeneity, a narrative synthesis was performed. Meta-analysis of 36,113 adults and children showed statistically significant associations between food insecurity and obesity (OR: 1.503, 95% confidence interval: 1.432-1.577, p < .05). Narrative synthesis showed association between different types of food environments and obesity. Findings from qualitative studies regarding a reliance on energy-dense, nutrient-poor foods owing to their affordability and accessibility aligned with findings from quantitative studies. Results from both qualitative and quantitative studies regarding the potential links between increased body weight and participation in food assistance programs such as food banks were supportive of weight gain. To address obesity among individuals experiencing food insecurity, wide-reaching approaches are required, especially among those surrounded by unhealthy food environments which could potentially influence food choice.
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Affiliation(s)
- Fatemeh Eskandari
- Centre for Public Health Research, School of Health and Life SciencesTeesside UniversityMiddlesbroughUK
- Fuse ‐ The Centre for Translational Research in Public HealthNewcastle upon TyneUK
| | - Amelia A. Lake
- Centre for Public Health Research, School of Health and Life SciencesTeesside UniversityMiddlesbroughUK
- Fuse ‐ The Centre for Translational Research in Public HealthNewcastle upon TyneUK
| | - Kelly Rose
- Centre for Public Health Research, School of Health and Life SciencesTeesside UniversityMiddlesbroughUK
- Fuse ‐ The Centre for Translational Research in Public HealthNewcastle upon TyneUK
| | - Mark Butler
- Centre for Public Health Research, School of Health and Life SciencesTeesside UniversityMiddlesbroughUK
| | - Claire O'Malley
- Centre for Public Health Research, School of Health and Life SciencesTeesside UniversityMiddlesbroughUK
- Fuse ‐ The Centre for Translational Research in Public HealthNewcastle upon TyneUK
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Huang H. Moderating Effects of Racial Segregation on the Associations of Cardiovascular Outcomes with Walkability in Chicago Metropolitan Area. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14252. [PMID: 36361132 PMCID: PMC9657023 DOI: 10.3390/ijerph192114252] [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: 08/21/2022] [Revised: 10/01/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
Cardiovascular diseases (CVDs), as the leading cause of death in the U.S., pose a disproportionate burden to racial/ethnic minorities. Walkability, as a key concept of the built environment, reflecting walking and physical activity, is associated with health behaviors that help to reduce CVDs risk. While the unequal social variation and spatial distribution inequality of the CVDs and the role of walkability in preventing CVDs have been explored, the moderating factors through which walkability affects CVDs have not been quantitatively analyzed. In this paper, the spatial statistical techniques combined with the regression model are conducted to study the distribution of the CVDs' health outcomes and factors influencing their variation in the Chicago metropolitan area. The spatial statistical results for the CVDs' health outcomes reveal that clusters of low-value incidence are concentrated in the suburban rural areas and areas on the north side of the city, while the high-value clusters are concentrated in the west and south sides of the city and areas extending beyond the western and southern city boundaries. The regression results indicate that racial segregation reduced the positive association between health outcomes and walkability, although both racial segregation and walkability factors were positively associated with CVDs' health outcomes.
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Affiliation(s)
- Hao Huang
- Department of Social Sciences, Illinois Institute of Technology, Chicago, IL 60616, USA
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Abstract
Background This study aims to examine the effect of time-variant perceived neighborhood social cohesion, perceived neighborhood physical disorder, and local crime on cardiovascular disease (CVD) incidence from 2006 through 2016. Methods and Results We obtained data from the Health & Retirement Study. Respondents aged ≥50 years and with no recorded history of CVD until 2006 (N=8826) were included and followed for 10 years. Cox proportional hazards models were estimated with CVD incidence as an outcome variable and time-variant social environment factors (perceived neighborhood social cohesion, perceived neighborhood physical disorder, and local crime) as exposures, after controlling for sociodemographic factors and CVD-related risk/protective factors. Our results showed that perceived neighborhood social cohesion was associated with CVD among Black respondents, but not Hispanic and White respondents. Perceived neighborhood physical disorder and local crime rates were not associated with CVD incidence across all racial and ethnic groups. Conclusions The results demonstrate that perceptions of favorable social environments need to be considered to reduce CVD risk among Black adults. Further research is needed to identify different pathways through which living in favorable social environments benefits cardiovascular health by racial and ethnic groups.
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Affiliation(s)
- Yeonwoo Kim
- Department of Kinesiology University of Texas at Arlington Arlington TX
| | - Ahyoung Lee
- Ewha Institute for Age Integration Research Ewha Womans University Seoul South Korea
| | - Catherine Cubbin
- Steve Hicks School of Social Work University of Texas at Austin Austin TX
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Frehlich L, Christie CD, Ronksley PE, Turin TC, Doyle-Baker P, McCormack GR. The neighbourhood built environment and health-related fitness: a narrative systematic review. Int J Behav Nutr Phys Act 2022; 19:124. [PMID: 36153538 PMCID: PMC9509561 DOI: 10.1186/s12966-022-01359-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 08/30/2022] [Indexed: 11/30/2022] Open
Abstract
Background There is increasing evidence demonstrating the importance of the neighbourhood built environment in supporting physical activity. Physical activity provides numerous health benefits including improvements in health-related fitness (i.e., muscular, cardiorespiratory, motor, and morphological fitness). Emerging evidence also suggests that the neighbourhood built environment is associated with health-related fitness. Our aim was to summarize evidence on the associations between the neighbourhood built environment and components of health-related fitness in adults. Methods We undertook a systematic review following PRISMA guidelines. Our data sources included electronic searches in MEDLINE, Embase, CINAHL, Web of Science, SPORTDiscus, Environment Complete, ProQuest Dissertations and Theses, and Transport Research International Documentation from inception to March 2021. Our eligibility criteria consisted of observational and experimental studies estimating associations between the neighbourhood built environment and health-related fitness among healthy adults (age ≥ 18 years). Eligible studies included objective or self-reported measures of the neighbourhood built environment and included either objective or self-reported measures of health-related fitness. Data extraction included study design, sample characteristics, measured neighbourhood built environment characteristics, and measured components of health-related fitness. We used individual Joanna Briggs Institute study checklists based on identified study designs. Our primary outcome measure was components of health-related fitness (muscular; cardiorespiratory; motor, and morphological fitness). Results Twenty-seven studies (sample sizes = 28 to 419,562; 2002 to 2020) met the eligibility criteria. Neighbourhood destinations were the most consistent built environment correlate across all components of health-related fitness. The greatest number of significant associations was found between the neighbourhood built environment and morphological fitness while the lowest number of associations was found for motor fitness. The neighbourhood built environment was consistently associated with health-related fitness in studies that adjusted for physical activity. Conclusion The neighbourhood built environment is associated with health-related fitness in adults and these associations may be independent of physical activity. Longitudinal studies that adjust for physical activity (including resistance training) and sedentary behaviour, and residential self-selection are needed to obtain rigorous causal evidence for the link between the neighbourhood built environment and health-related fitness. Trial registration Protocol registration: PROSPERO number CRD42020179807. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-022-01359-0.
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India-Aldana S, Kanchi R, Adhikari S, Lopez P, Schwartz MD, Elbel BD, Rummo PE, Meeker MA, Lovasi GS, Siegel KR, Chen Y, Thorpe LE. Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008-2018. ENVIRONMENTAL RESEARCH 2022; 212:113146. [PMID: 35337829 PMCID: PMC10424702 DOI: 10.1016/j.envres.2022.113146] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/20/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Large-scale longitudinal studies evaluating influences of the built environment on risk for type 2 diabetes (T2D) are scarce, and findings have been inconsistent. OBJECTIVE To evaluate whether land use environment (LUE), a proxy of neighborhood walkability, is associated with T2D risk across different US community types, and to assess whether the association is modified by food environment. METHODS The Veteran's Administration Diabetes Risk (VADR) study is a retrospective cohort of diabetes-free US veteran patients enrolled in VA primary care facilities nationwide from January 1, 2008, to December 31, 2016, and followed longitudinally through December 31, 2018. A total of 4,096,629 patients had baseline addresses available in electronic health records that were geocoded and assigned a census tract-level LUE score. LUE scores were divided into quartiles, where a higher score indicated higher neighborhood walkability levels. New diagnoses for T2D were identified using a published computable phenotype. Adjusted time-to-event analyses using piecewise exponential models were fit within four strata of community types (higher-density urban, lower-density urban, suburban/small town, and rural). We also evaluated effect modification by tract-level food environment measures within each stratum. RESULTS In adjusted analyses, higher LUE had a protective effect on T2D risk in rural and suburban/small town communities (linear quartile trend test p-value <0.001). However, in lower density urban communities, higher LUE increased T2D risk (linear quartile trend test p-value <0.001) and no association was found in higher density urban communities (linear quartile trend test p-value = 0.317). Particularly strong protective effects were observed for veterans living in suburban/small towns with more supermarkets and more walkable spaces (p-interaction = 0.001). CONCLUSION Among veterans, LUE may influence T2D risk, particularly in rural and suburban communities. Food environment may modify the association between LUE and T2D.
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Affiliation(s)
- Sandra India-Aldana
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA
| | - Rania Kanchi
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA
| | - Samrachana Adhikari
- Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA
| | - Priscilla Lopez
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA
| | - Mark D Schwartz
- Division of Comparative Effectiveness and Decision Science, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 9th Fl., New York, NY, 10016, USA; VA New York Harbor Healthcare System, 423 E 23rd, New York, NY, 10010, USA
| | - Brian D Elbel
- Division of Health and Behavior, Section on Health Choice, Policy and Evaluation, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 3rd Fl., New York, NY, 10016, USA; NYU Wagner Graduate School of Public Service, 295 Lafayette Street, New York, NY, 10012, USA
| | - Pasquale E Rummo
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA
| | - Melissa A Meeker
- Drexel University Dornsife School of Public Health, 3215 Market St, Philadelphia, PA 19104, USA
| | - Gina S Lovasi
- Drexel University Dornsife School of Public Health, 3215 Market St, Philadelphia, PA 19104, USA
| | - Karen R Siegel
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, 30341, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA; Department of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Lorna E Thorpe
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, 5th Fl., New York, NY, 10016, USA.
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30
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Eberly LA, Julien H, South EC, Venkataraman A, Nathan AS, Anyawu EC, Dayoub E, Groeneveld PW, Khatana SAM. Association Between Community‐Level Violent Crime and Cardiovascular Mortality in Chicago: A Longitudinal Analysis. J Am Heart Assoc 2022; 11:e025168. [PMID: 35861831 PMCID: PMC9707824 DOI: 10.1161/jaha.122.025168] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Violent crime has recently increased in many major metropolitan cities in the United States. Prior studies suggest an association between neighborhood crime levels and cardiovascular disease, but many have been limited by cross‐sectional designs. We investigated whether longitudinal changes in violent crime rates are associated with changes in cardiovascular mortality rates at the community level in one large US city‐Chicago, IL.
Methods and Results
Chicago is composed of 77 community areas. Age‐adjusted mortality rates by community area for cardiovascular disease, stroke, and coronary artery disease from 2000 to 2014, aggregated at 5‐year intervals, were obtained from the Illinois Department of Public Health Division of Vital Records. Mean total and violent crime rates by community area were obtained from the City of Chicago Police Data Portal. Using a 2‐way fixed effects estimator, we assessed the association between longitudinal changes in violent crime and cardiovascular mortality rates after accounting for changes in demographic and economic variables and secular time trends at the community area level from 2000 to 2014. Between 2000 and 2014, the median violent crime rate in Chicago decreased from 3620 per 100 000 (interquartile range [IQR], 2256, 7777) in the 2000 to 2004 period to 2390 (IQR 1507, 5745) in the 2010 to 2014 period (
P
=0.005 for trend). In the fixed effects model a 1% decrease in community area violent crime rate was associated with a 0.21% (95% CI, 0.09–0.33) decrease in cardiovascular mortality rates (
P
=<0.001) and a 0.19% (95% CI, 0.04–0.33) decrease in coronary artery disease mortality rates (
P
=0.01). There was no statistically significant association between change in violent crime and stroke mortality rates (−0.17% [95% CI, −0.42 to 0.08;
P
=0.18]).
Conclusions
From 2000 to 2014, a greater decrease in violent crime at the community area level was associated with a greater decrease in cardiovascular and coronary artery disease mortality rates in Chicago. These findings add to the growing evidence of the impact of the built environment on health and implicate violent crime exposure as a potential social determinant of cardiovascular health. Targeted investment in communities to decrease violent crime may improve community cardiovascular health.
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Affiliation(s)
- Lauren A. Eberly
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Penn Cardiovascular Center for Health Equity and Social Justice University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Howard Julien
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Penn Cardiovascular Center for Health Equity and Social Justice University of Pennsylvania Philadelphia PA
| | - Eugenia C. South
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
- Urban Health Lab, Department of Emergency Medicine Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Atheendar Venkataraman
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Ashwin S. Nathan
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Emeka C. Anyawu
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Elias Dayoub
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Peter W. Groeneveld
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Division of General Internal Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Sameed Ahmed M. Khatana
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
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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: 23] [Impact Index Per Article: 11.5] [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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32
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The association between workplace built environment and metabolic health: A systematic review and meta-analysis. Health Place 2022; 76:102829. [PMID: 35661515 DOI: 10.1016/j.healthplace.2022.102829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/09/2022] [Accepted: 05/17/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Metabolic health is one of the key determinants of healthy living. Specifically, maintaining healthy weight, regulation of blood pressure, lipids and glucose over the life course have been reported to be protective on chronic diseases and premature mortality. With the global workforce spending, on average, one-third of the weekly time budget in the workplace, the role of workplace environment in enhancing metabolic health becomes important. However, there has thus far been no review synthesizing evidence on the links between workplace built environment and metabolic health. METHODS A systematic review and meta-analysis was conducted synthesizing evidence on the associations of built environment attributes measured within the workplace neighbourhood and metabolic health. A total of 16 studies that fulfilled the inclusion/exclusion criteria were identified via systematic search of English language peer-refereed publications up to July 2021, in six databases. A systematic coding system was developed, indicating significant findings in expected/unexpected directions including null findings, and the quality of the pooled study was assessed. The Weighted-Z test method that accounts for the study quality was used to examine the strength of evidence. RESULTS A quarter of the pooled studies were categorized to be of high quality. Among the workplace built environment attributes of access to/density of recreational facilities, street pattern, access to/density of destinations and services, and land use mix, very strong evidence was found for the association between access to/density of destinations and services and metabolic health (p < 0.001); specifically, access to full service establishments such as supermarkets, grocery stores and restaurants (p = 0.001). A relatively weak association between proximity to workplace and metabolic health (p = 0.019) was also reported. DISCUSSION Given the lack of high quality studies, overall confidence in the currently available evidence is 'low'. Well-designed longitudinal studies with rigorous measurements for exposures and outcome variables are necessary.
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Letarte L, Samadoulougou S, McKay R, Quesnel-Vallée A, Waygood EOD, Lebel A. Neighborhood deprivation and obesity: Sex-specific effects of cross-sectional, cumulative and residential trajectory indicators. Soc Sci Med 2022; 306:115049. [PMID: 35724583 DOI: 10.1016/j.socscimed.2022.115049] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 04/09/2022] [Accepted: 05/15/2022] [Indexed: 11/29/2022]
Abstract
Obesity is a long-term health issue that is becoming increasingly prevalent. Very few studies have considered the life course effects of neighborhood characteristics on obesity. In a sample of 35,856 adult participants (representative of the population of the Province of Quebec in Canada), we measured the association between neighborhood deprivation and obesity using logistic modelling on indicators of cross-sectional neighborhood deprivation, cumulative neighborhood deprivation and trajectories of neighborhood deprivation. For cross-sectional exposure, we found that females in our sample had higher odds of being affected by obesity when living in high-deprivation (OR 1.73, CI 1.41-2.13) or medium-deprivation neighborhoods (OR 1.27, CI 1.07-1.51) compared to females living in low-deprivation neighborhoods. Males also had higher odds of being affected by obesity when living in medium or high deprivation. For cumulative exposure to neighborhood deprivation, only females in the second highest category for longitudinal exposure to deprived neighborhoods had significantly higher odds of living with obesity (OR 1.89 CI 1.12-3.19) compared to females in the low cumulative exposure category. Using sequence analysis to determine neighborhood deprivation trajectories for up to 17 years, we found that females with a Deprived upward (OR 1.75 CI 1.10-2.78), an Average downward (OR 1.75 CI 1.08-2.84) or a Deprived trajectory (OR 1.81 CI 1.45-2.86) had higher odds of living with obesity compared to the Privileged trajectory. For males, there were no significant associations. Using trajectory indicators was beneficial to our analyses because this method shows that not only are individuals in low socioeconomic status neighborhoods at the end of their trajectory more susceptible to living with obesity, but so are those exposed to neighborhood deprivation at the beginning of their trajectory. These results could help to more precisely identify individuals at higher risk of developing obesity-related health issues.
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Affiliation(s)
- Laurence Letarte
- Center for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada; Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Center, Quebec, Canada.
| | - Sekou Samadoulougou
- Center for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada; Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Center, Quebec, Canada
| | - Rachel McKay
- McGill Observatory on Health and Social Services Reforms, McGill University, Montreal, Canada; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada
| | - Amélie Quesnel-Vallée
- McGill Observatory on Health and Social Services Reforms, McGill University, Montreal, Canada; Department of Sociology, McGill University, Montreal, Canada
| | | | - Alexandre Lebel
- Center for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada; Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Center, Quebec, Canada
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34
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Rodriguez-Loureiro L, Casas L, Bauwelinck M, Lefebvre W, Vanpoucke C, Gadeyne S. Long-term exposure to objective and perceived residential greenness and diabetes mortality: A census-based cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 821:153445. [PMID: 35093349 DOI: 10.1016/j.scitotenv.2022.153445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/17/2022] [Accepted: 01/22/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Residing close to green spaces might reduce diabetes mellitus (DM) risk; however, evidence for diabetes mortality is limited. Moreover, individual and neighbourhood social factors may determine DM risk. Exposure to green spaces may also depend on socioeconomic position (SEP). This study examined the associations between residential greenness and diabetes-related mortality, and the role of the social environment in these associations. METHODS We used the 2001 Belgian census linked to mortality register data for the period 2001-2014. We included individuals aged 40-79 years old and residing in the five largest Belgian urban areas at baseline. Exposure to residential greenness was assessed with surrounding greenness using the Normalized Difference Vegetation Index (NDVI) within 500-m of residence (objective indicator), and perceived neighbourhood greenness (subjective indicator). We conducted mixed-effects Cox proportional hazards models to obtain hazard ratios (HR) for diabetes-related mortality per interquartile range (IQR) increments of residential greenness. We assessed effect modification by social factors through stratification. RESULTS From 2,309,236 individuals included at baseline, 1.2% died from DM during follow-up. Both residential greenness indicators were inversely associated with diabetes-related mortality after adjustment for individual social factors. After controlling for neighbourhood SEP, the beneficial association with surrounding greenness disappeared [HR 1.02 (95%CI:0.99,1.06)], but persisted with perceived neighbourhood greenness [HR 0.93 (95%CI:0.91,0.95)]. After stratification the inverse associations with perceived neighbourhood greenness were strongest for women, the lowest educated, and individuals residing in least deprived neighbourhoods. CONCLUSIONS Our findings suggest that an overall positive perception of neighbourhood green spaces reduces independently the risk of diabetes-related mortality, regardless of the neighbourhood social environment. Nevertheless, neighbourhood SEP may be a strong confounder in the associations between diabetes-related mortality and greenness indicators derived from satellite images. Perception factors not captured by objective measurements of green spaces are potentially relevant in the association with DM, especially among disadvantaged groups.
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Affiliation(s)
- Lucía Rodriguez-Loureiro
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
| | - Lidia Casas
- Social Epidemiology and Health Policy, Department of Family Medicine and Population Health, University of Antwerp, Gouverneur Kinsbergencentrum, Doornstraat 331, 2610 Wilrijk, Belgium; Institute for Environment and Sustainable Development (IMDO), University of Antwerp, Campus Groenenborger, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Mariska Bauwelinck
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Wouter Lefebvre
- Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium
| | - Charlotte Vanpoucke
- Belgian Interregional Environment Agency (IRCELINE), Gaucheretstraat 92-94, 1030 Brussels, Belgium
| | - Sylvie Gadeyne
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
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35
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Zheng Z, Zhang P, Yuan F, Bo Y. Scientometric Analysis of The Relationship between a Built Environment and Cardiovascular Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5625. [PMID: 35565017 PMCID: PMC9105469 DOI: 10.3390/ijerph19095625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/24/2022] [Accepted: 04/29/2022] [Indexed: 01/15/2023]
Abstract
The prevention and treatment of cardiovascular disease (CVD) are necessary to improve patient quality of life and to reduce the burden of medical and other social problems. Reducing the impact of CVD through environmental intervention was hailed as the most economical approach and research into such interventions is becoming key. The purpose of this article is to summarize the research topics and developments in the field of the built environment and CVD between 2000 and 2021 using scientometric analysis. In total, 1304 records retrieved from the Web of Science core database were analyzed using CiteSpace software, and the results were displayed using knowledge mapping. The number of publications and conferences relating to the built environment and CVD showed an upward trend over the study period, with the United States taking the lead. Physical activity and the food environment were used as mediators and entry points to map the relationship between the built environment and CVD. Walkability, residence characteristics, the food environment, and greenness were key research topics. Research shifted over the period to incorporate quantitative analyses of subjective feelings while focusing on decreasing sedentary behavior. Understanding the variability in the built environment is critical to improving the generalizability of the findings presented in the individual studies. Inter-disciplinary and multi-disciplinary research is conducive to innovation and ensuring the integration of real environmental elements. This study provides an overview and valuable guidance for researchers relating to how the built environment impacts CVD.
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Affiliation(s)
- Zhonghui Zheng
- School of Architecture & Art Design, Hebei University of Technology, Tianjin 300132, China; (Z.Z.); (F.Y.)
| | - Ping Zhang
- School of Architecture & Art Design, Hebei University of Technology, Tianjin 300132, China; (Z.Z.); (F.Y.)
| | - Fangzheng Yuan
- School of Architecture & Art Design, Hebei University of Technology, Tianjin 300132, China; (Z.Z.); (F.Y.)
| | - Yunque Bo
- Policy Research Department, Tianjin Medical Information Center, Tianjin 300041, China;
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Powell-Wiley TM, Baumer Y, Baah FO, Baez AS, Farmer N, Mahlobo CT, Pita MA, Potharaju KA, Tamura K, Wallen GR. Social Determinants of Cardiovascular Disease. Circ Res 2022; 130:782-799. [PMID: 35239404 PMCID: PMC8893132 DOI: 10.1161/circresaha.121.319811] [Citation(s) in RCA: 215] [Impact Index Per Article: 107.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Social determinants of health (SDoH), which encompass the economic, social, environmental, and psychosocial factors that influence health, play a significant role in the development of cardiovascular disease (CVD) risk factors as well as CVD morbidity and mortality. The COVID-19 pandemic and the current social justice movement sparked by the death of George Floyd have laid bare long-existing health inequities in our society driven by SDoH. Despite a recent focus on these structural drivers of health disparities, the impact of SDoH on cardiovascular health and CVD outcomes remains understudied and incompletely understood. To further investigate the mechanisms connecting SDoH and CVD, and ultimately design targeted and effective interventions, it is important to foster interdisciplinary efforts that incorporate translational, epidemiological, and clinical research in examining SDoH-CVD relationships. This review aims to facilitate research coordination and intervention development by providing an evidence-based framework for SDoH rooted in the lived experiences of marginalized populations. Our framework highlights critical structural/socioeconomic, environmental, and psychosocial factors most strongly associated with CVD and explores several of the underlying biologic mechanisms connecting SDoH to CVD pathogenesis, including excess stress hormones, inflammation, immune cell function, and cellular aging. We present landmark studies and recent findings about SDoH in our framework, with careful consideration of the constructs and measures utilized. Finally, we provide a roadmap for future SDoH research focused on individual, clinical, and policy approaches directed towards developing multilevel community-engaged interventions to promote cardiovascular health.
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Affiliation(s)
- Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD.,Intramural Research Program, National Institute on Minority Health and Health Disparities (T.M.P.-W.), National Institutes of Health, Bethesda, MD
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD
| | - Foster Osei Baah
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD
| | - Andrew S Baez
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD
| | - Nicole Farmer
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health, Clinical Center, Bethesda, MD (N.F., G.R.W.)
| | - Christa T Mahlobo
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD.,The Pennsylvania State University (C.T.M.)
| | - Mario A Pita
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD
| | - Kameswari A Potharaju
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (T.M.P.-W., Y.B., F.O.B., A.S.B., C.T.M., M.A.P., K.A.P.), National Institutes of Health, Bethesda, MD
| | - Kosuke Tamura
- Neighborhood Social and Geospatial Determinants of Health Disparities Laboratory, Population and Community Sciences Branch, Intramural Research Program, National Institute on Minority Health and Health Disparities (K.T.), National Institutes of Health, Bethesda, MD
| | - Gwenyth R Wallen
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health, Clinical Center, Bethesda, MD (N.F., G.R.W.)
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Assessing Trade-Offs and Optimal Ranges of Density for Life Expectancy and 12 Causes of Mortality in Metro Vancouver, Canada, 1990-2016. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052900. [PMID: 35270597 PMCID: PMC8910136 DOI: 10.3390/ijerph19052900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/23/2022] [Accepted: 02/25/2022] [Indexed: 02/01/2023]
Abstract
Background: Understanding and managing the impacts of population growth and densification are important steps for sustainable development. This study sought to evaluate the health trade-offs associated with increasing densification and to identify the optimal balance of neighbourhood densification for health. Methods: We linked population density with a 27-year mortality dataset in Metro Vancouver that includes census-tract levels of life expectancy (LE), cause-specific mortalities, and area-level deprivation. We applied two methods: (1) difference-in-differences (DID) models to study the impacts of densification changes from the early 1990s on changes in mortality over a 27-year period; and (2) smoothed cubic splines to identify thresholds of densification at which mortality rates accelerated. Results: At densities above ~9400 persons per km2, LE began to decrease more rapidly. By cause, densification was linked to decreased mortality for major causes of mortality in the region, such as cardiovascular diseases, neoplasms, and diabetes. Greater inequality with increasing density was observed for causes such as human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS), sexually transmitted infections, and self-harm and interpersonal violence. Conclusions: Areas with higher population densities generally have lower rates of mortality from the major causes, but these environments are also associated with higher relative inequality from largely preventable causes of death.
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de Albuquerque FM, Pessoa MC, De Santis Filgueiras M, Gardone DS, de Novaes JF. Retail food outlets and metabolic syndrome: a systematic review of longitudinal studies. Nutr Rev 2022; 80:1599-1618. [PMID: 35182145 DOI: 10.1093/nutrit/nuab111] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
CONTEXT The community food environment covers the type, quantity, density, location, and access to retail food outlets, and its influence on eating behavior, obesity, and metabolic syndrome has been investigated. OBJECTIVE To evaluate the evidence on longitudinal associations between objectively measured retail food outlets and metabolic syndrome components in children, adolescents, and adults. DATA EXTRACTION This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality and risk of bias were assessed with the Newcastle-Ottawa Scale. DATA SOURCES The Scopus, Embase, Web of Science, Scielo, PubMed, MEDLINE, and Lilacs databases were searched without any restriction on publication dates. DATA ANALYSIS Of the 18 longitudinal studies included, significant associations were reported in 9 between retail food outlets and metabolic syndrome components in adults (6 positive associations, 2 negative, and 1 both positive and negative), and in 3 studies of children and adolescents (2 negative associations and 1 both positive and negative). Six studies with adults found no association. CONCLUSION Limited evidence was found for longitudinal associations between retail food outlets and metabolic syndrome components. In future studies, researchers should consider the use of standardized retail food outlet measurements and accurate analysis to better understand the influence of the community food environment on metabolic syndrome. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no: CRD42020177137.
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Affiliation(s)
| | - Milene Cristine Pessoa
- Department of Nutrition, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | | | - Danielle Soares Gardone
- Department of Nutrition, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Juliana Farias de Novaes
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
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Lang IM, Antonakos CL, Judd SE, Colabianchi N. A longitudinal examination of objective neighborhood walkability, body mass index, and waist circumference: the REasons for Geographic And Racial Differences in Stroke study. Int J Behav Nutr Phys Act 2022; 19:17. [PMID: 35151322 PMCID: PMC8841052 DOI: 10.1186/s12966-022-01247-7] [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: 03/09/2021] [Accepted: 01/10/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Studies have shown neighborhood walkability is associated with obesity. To advance this research, study designs involving longer follow-up, broader geographic regions, appropriate neighborhood characterization, assessment of exposure length and severity, and consideration of stayers and movers are needed. Using a cohort spanning the conterminous United States, this study examines the longitudinal relationship between a network buffer-derived, duration-weighted neighborhood walkability measure and two adiposity-related outcomes.
Methods
This study included 12,846 Black/African American and White adults in the REasons for Geographic And Racial Differences in Stroke study. Body mass index (BMI) and waist circumference (WC) were assessed at baseline and up to 13.3 years later (M (SD) = 9.4 (1.0) years). BMI and WC were dichotomized. Walk Score® was duration-weighted based on time at each address and categorized as Very Car-Dependent, Car-Dependent, Somewhat Walkable, Very Walkable, and Walker’s Paradise. Unadjusted and adjusted logistic regression models tested each neighborhood walkability-adiposity association. Adjusted models controlled for demographics, health factors, neighborhood socioeconomic status, follow-up time, and either baseline BMI or baseline WC. Adjusted models also tested for interactions. Post-estimation Wald tests examined whether categorical variables had coefficients jointly equal to zero. Orthogonal polynomial contrasts tested for a linear trend in the neighborhood walkability-adiposity relationships.
Results
The odds of being overweight/obese at follow-up were lower for residents with duration-weighted Walk Score® values in the Walker’s Paradise range and residents with values in the Very Walkable range compared to residents with values in the Very Car-Dependent range. Residents with duration-weighted Walk Score® values classified as Very Walkable had significantly lower odds of having a moderate-to-high risk WC at follow-up relative to those in the Very Car-Dependent range. For both outcomes, the effects were small but meaningful. The negative linear trend was significant for BMI but not WC.
Conclusion
People with cumulative neighborhood walkability scores in the Walker’s Paradise range were less likely to be overweight/obese independent of other factors, while people with scores in the Very Walkable range were less likely to be overweight/obese and less likely to have a moderate-to-high risk WC. Addressing neighborhood walkability is one approach to combating obesity.
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Maksimov SA, Balanova YA, Shalnova SA, Muromtseva GA, Kapustina AV, Drapkina OM. Regional living conditions and the prevalence, awareness, treatment, control of hypertension at the individual level in Russia. BMC Public Health 2022; 22:202. [PMID: 35094684 PMCID: PMC8801098 DOI: 10.1186/s12889-022-12645-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 01/24/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The objective of our study was to investigate the associations of characteristics inherent in large Russian Federation (RF) regions with prevalence, awareness, treatment and control of hypertension at the individual level.
Methods
Regional characteristics were obtained from the official website of the Federal State Statistics Service of the RF. We employed principal component analysis to reduce the dimensionality of data, which allowed defining five integral regional indices. Prevalence, awareness, treatment and control of hypertension were assessed from the data of the cross-sectional stage of ESSE-RF study conducted in 2013–2014. The final sample included 19,791 patients from 12 RF regions. Generalized estimating equations were used to identify the associations of regional indices with prevalence, awareness, treatment and control of hypertension at the individual level, taking into consideration nested data structures (study subjects in the regions).
Results
The index characterizing deterioration of social living conditions and societal marginalization exhibited positive associations with the prevalence of hypertension among men (OR = 1.18; 95% CI: 1.05–1.32) and elderly people (OR = 1.16; 95% CI: 1.02–1.32). Moreover, deterioration in the social environment was associated with a reduction in treatment (OR = 0.76; 95% CI: 0.64–0.90) and control of hypertension (OR = 0.79; 95% CI: 0.69–0.90). Hypertension awareness was directly connected with demographic crisis (OR = 1.13; 95% CI: 1.02–1.25) and augmented industrial development (OR = 1.15; 95% CI: 1.01–1.33) in the regions. The association of regional living conditions with the prevalence of hypertension is relatively weak, compared to predictors at the individual level, but this influence is important for awareness, treatment and control of hypertension.
Conclusion
The study contributed to evaluating the associations of the vital characteristics inherent in population of large RF regions with arterial hypertension prevalence, as well as with awareness, treatment and control of this disease. Our results provided original insights from the standpoint of cardiovascular disease epidemiology in the RF, as well as in the context of investigating the impact of living conditions on population health.
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Gao X, Kershaw KN, Barber S, Schreiner PJ, Do DP, Diez Roux AV, Mujahid MS. Associations Between Residential Segregation and Incident Hypertension: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2022; 11:e023084. [PMID: 35048712 PMCID: PMC9238487 DOI: 10.1161/jaha.121.023084] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Residential segregation, a geospatial manifestation of structural racism, is a fundamental driver of racial and ethnic health inequities, and longitudinal studies examining segregation's influence on cardiovascular health are limited. This study investigates the impact of segregation on hypertension in a multiracial and multiethnic cohort and explores whether neighborhood environment modifies this association. Methods and Results Leveraging data from a diverse cohort of adults recruited from 6 sites in the United States with 2 decades of follow-up, we used race- and ethnicity-stratified Cox models to examine the association between time-varying segregation with incident hypertension in 1937 adults free of hypertension at baseline. Participants were categorized as residing in segregated and nonsegregated neighborhoods using a spatial-weighted measure. We used a robust covariance matrix estimator to account for clustering within neighborhoods and assessed effect measure modification by neighborhood social or physical environment. Over an average follow-up of 7.35 years, 65.5% non-Hispanic Black, 48.1% Chinese, and 53.7% Hispanic participants developed hypertension. Net of confounders, Black and Hispanic residents in segregated neighborhoods were more likely to develop hypertension relative to residents in nonsegregated neighborhoods (Black residents: hazard ratio [HR], 1.33; 95% CI, 1.09-1.62; Hispanic residents: HR, 1.33; 95% CI, 1.04-1.70). Results were similar but not significant among Chinese residents (HR, 1.20; 95% CI, 0.83-1.73). Among Black residents, neighborhood social environment significantly modified this association such that better social environment was associated with less pronounced impact of segregation on hypertension. Conclusions This study underscores the importance of continued investigations of groups affected by the health consequences of racial residential segregation while taking contextual neighborhood factors, such as social environment, into account.
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Affiliation(s)
- Xing Gao
- Division of Epidemiology School of Public Health University of California Berkeley CA
| | - Kiarri N Kershaw
- Department of Preventive Medicine Feinberg School of Medicine Northwestern University Chicago IL
| | - Sharrelle Barber
- Department of Epidemiology & Biostatistics Dornsife School of Public Health Drexel University Philadelphia PA
| | - Pamela J Schreiner
- Division of Epidemiology & Community Health School of Public Health University of Minnesota Minneapolis MN
| | - D Phuong Do
- Public Health Policy and Administration Zilber School of Public Health University of Wisconsin-Milwaukee Milwaukee WI
| | - Ana V Diez Roux
- Department of Epidemiology & Biostatistics Dornsife School of Public Health Drexel University Philadelphia PA
| | - Mahasin S Mujahid
- Division of Epidemiology School of Public Health University of California Berkeley CA
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Savin KL, Roesch SC, Oren E, Carlson JA, Allison MA, Sotres-Alvarez D, Sallis JF, Jankowska MM, Talavera GA, Rodriguez TM, Chambers EC, Daviglus M, Perreira KM, Llabre MM, Gallo LC. Social and built neighborhood environments and blood pressure 6 years later: Results from the Hispanic Community Health Study/Study of Latinos and the SOL CASAS ancillary study. Soc Sci Med 2022; 292:114496. [PMID: 34774366 PMCID: PMC8748411 DOI: 10.1016/j.socscimed.2021.114496] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/12/2021] [Accepted: 10/16/2021] [Indexed: 01/03/2023]
Abstract
Neighborhood-level socioeconomic deprivation can increase risk for higher blood pressure or hypertension, while greater neighborhood safety and walkability may protect against hypertension. Large-scale prospective research, particularly among Hispanics/Latinos, is lacking. We examined cross-sectional and prospective associations between neighborhood environments and blood pressure and hypertension among 3851 Hispanic/Latinos enrolled in the Hispanic Community Health Study/Study of Latinos San Diego, CA cohort. Addresses from Visit 1 (2008-2011) were geocoded and neighborhood characteristics were determined as part of the SOL CASAS ancillary study. Home addresses were geocoded and home areas created using 800 m circular radial buffers. Neighborhood indices socioeconomic deprivation, residential stability, and social disorder were created using Census and other publicly available data. Walkability was computed as density of intersections, retail spaces, and residences. Greenness was measured via satellite imagery using the Normalized Difference Vegetation Index. Visit 1 and Visit 2 (2014-2017) clinical outcomes included systolic (SBP) and diastolic (DBP) blood pressure, as well as prevalent and 6-year incident hypertension, defined as SBP/DBP ≥140/90 mmHg or antihypertensive medication use. Complex survey regression models adjusted for covariates revealed cross-sectional associations between greater walkability and lower SBP (B = -0.05; 95% CI: -0.09, -0.003). In prospective analyses, greater neighborhood social disorder was related to increasing SBP (B = 0.05; 95% CI: 0.01, 0.09) and DBP (B = 0.07; 95% CI: 0.02, 0.12) over time. Greater socioeconomic deprivation (OR = 1.47; 95% CI: 1.06, 2.04) and greater social disorder (OR = 1.25; 95% CI: 1.02, 1.54) were associated with higher odds of incident hypertension. All other associations were not significant. Beyond individual-level characteristics, greater neighborhood social disorder and socioeconomic deprivation were related to adverse changes in blood pressure over 6 years among Hispanics/Latinos. Neighborhood social environment may help identify, or be an area for future intervention for, cardiovascular risk among Hispanics/Latinos.
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Affiliation(s)
- Kimberly L Savin
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Court, San Diego, CA, 92120, USA.
| | - Scott C Roesch
- Department of Psychology, San Diego State University, 6363 Alvarado Court, San Diego, CA, 92120, USA.
| | - Eyal Oren
- School of Public Health, San Diego State University, 5500 Campanile Dr, San Diego, CA, 92182, USA.
| | - Jordan A Carlson
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City Postal Address: 2401 Gillham Rd, Kansas City, MO, 64108, USA; Department of Pediatrics, Children's Mercy Kansas City and University of Missouri Kansas City, 2401 Gillham Rd, Kansas City, MO, 64108, USA.
| | - Matthew A Allison
- Department of Family Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, 123 W. Franklin Street, Suite 450, CB #8030, Chapel Hill, NC, 27516, USA.
| | - James F Sallis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego 9500 Gilman Drive, La Jolla, CA, 92093, USA; Mary MacKillop Institute for Health Research, Australian Catholic University, 5/215 Spring St, Melbourne VIC, 3000, Australia.
| | - Marta M Jankowska
- Population Sciences, Beckman Research Institute, City of Hope, 1500 E Duarte Rd, Duarte, CA, 91010, USA.
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, 6363 Alvarado Court, San Diego, CA, 92120, USA.
| | - Tasi M Rodriguez
- South Bay Latino Research Center, San Diego State University, 780 Bay Boulevard, Suite 200, Chula Vista, CA, 91910, USA.
| | - Earle C Chambers
- Department of Family and Social Medicine, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, 835 S Wolcott Ave (Bldg 935), Mailbox #23 (M/C 769), Chicago, IL, 60612, USA.
| | - Krista M Perreira
- Department of Social Medicine, University of North Carolina, 333 South Columbia Street, MacNider Hall, Room #348 / CB #7240, Chapel Hill, NC, 27599-7240, USA.
| | - Maria M Llabre
- Department of Psychology, University of Miami, P.O. Box 248185, Coral Gables, FL, 33124, USA.
| | - Linda C Gallo
- Department of Psychology, San Diego State University, 6363 Alvarado Court, San Diego, CA, 92120, USA.
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Jayasinghe S, Flies EJ, Soward R, Kendal D, Kilpatrick M, Holloway TP, Patterson KAE, Ahuja KDK, Hughes R, Byrne NM, Hills AP. A Spatial Analysis of Access to Physical Activity Infrastructure and Healthy Food in Regional Tasmania. Front Public Health 2021; 9:773609. [PMID: 34926390 PMCID: PMC8671161 DOI: 10.3389/fpubh.2021.773609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
Prevalence of physical inactivity and obesity continues to increase in regional areas such as North-West (NW) Tasmania and show no signs of abating. It is possible that limited access to physical activity infrastructure (PAI) and healthier food options are exacerbating the low levels of habitual physical activity and obesity prevalence in these communities. Despite a burgeoning research base, concomitant exploration of both physical activity and food environments in rural and regional areas remain scarce. This research evaluated access (i.e., coverage, variety, density, and proximity) to physical activity resources and food outlets in relation to socioeconomic status (SES) in three NW Tasmanian communities. In all three study areas, the PAI and food outlets were largely concentrated in the main urban areas with most recreational tracks and natural amenities located along the coastline or river areas. Circular Head had the lowest total number of PAI (n = 43) but a greater proportion (30%) of free-to-access outdoor amenities. There was marked variation in accessibility to infrastructure across different areas of disadvantage within and between sites. For a considerable proportion of the population, free-to-access natural amenities/green spaces and recreational tracks (73 and 57%, respectively) were beyond 800 m from their households. In relation to food accessibility, only a small proportion of the food outlets across the region sells predominantly healthy (i.e., Tier 1) foods (~6, 13, and 10% in Burnie, Circular Head and Devonport, respectively). Similarly, only a small proportion of the residents are within a reasonable walking distance (i.e., 5–10 min walk) from outlets. In contrast, a much larger proportion of residents lived close to food outlets selling predominantly energy-dense, highly processed food (i.e., Tier 2 outlets). Circular Head had at least twice as many Tier 1 food stores per capita than Devonport and Burnie (0.23 vs. 0.10 and 0.06; respectively) despite recording the highest average distance (4.35 and 5.66 km to Tier 2/Tier 1 stores) to a food outlet. As such, it is possible that both food and physical activity environment layouts in each site are contributing to the obesogenic nature of each community.
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Affiliation(s)
- Sisitha Jayasinghe
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Emily J Flies
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia.,Healthy Landscapes Research Group, University of Tasmania, Hobart, TAS, Australia
| | - Robert Soward
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Dave Kendal
- Healthy Landscapes Research Group, University of Tasmania, Hobart, TAS, Australia.,School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Michelle Kilpatrick
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Timothy P Holloway
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Kira A E Patterson
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Kiran D K Ahuja
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Roger Hughes
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Nuala M Byrne
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Andrew P Hills
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
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Li J, Auchincloss AH, Hirsch JA, Melly SJ, Moore KA, Peterson A, Sánchez BN. Exploring the spatial scale effects of built environments on transport walking: Multi-Ethnic Study of Atherosclerosis. Health Place 2021; 73:102722. [PMID: 34864555 DOI: 10.1016/j.healthplace.2021.102722] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 11/30/2022]
Abstract
We employed a longitudinal distributed lag modeling approach to systematically estimate how associations between built environment features and transport walking decayed with the increase of distance from home to built environment destinations. Data came from a cohort recruited from six U.S. cities (follow-up 2000-2010, N = 3913, baseline mean age 60). Built environment features included all walkable destinations, consisting of common and popular destinations for daily life. We also included two subsets frequent social destinations and food stores to examine if the spatial scale effects differed by varying density for different types of built environment destinations. Adjusted results found that increases in transport walking diminished when built environment destinations were farther, although distance thresholds varied across different types of built environment destinations. Higher availability of walking destinations within 2-km and frequent social destinations within 1.6-km were associated with transport walking. Food stores were not associated with transport walking. This new information will help policymakers and urban designers understand at what distances each type of built environment destinations influences transport walking, in turn informing the development of interventions and/or the placement of amenities within neighborhoods to promote transport walking. The findings that spatial scales depend on specific built environment features also highlight the need for methods that can more flexibly estimate associations between outcomes and different built environment features across varying contexts, in order to improve our understanding of the spatial mechanisms involved in said associations.
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Affiliation(s)
- Jingjing Li
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7th Floor, Philadelphia, PA, 19104, USA.
| | - Amy H Auchincloss
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7th Floor, Philadelphia, PA, 19104, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St., Philadelphia, PA, 19104, USA
| | - Jana A Hirsch
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7th Floor, Philadelphia, PA, 19104, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St., Philadelphia, PA, 19104, USA
| | - Steven J Melly
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7th Floor, Philadelphia, PA, 19104, USA
| | - Kari A Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St. 7th Floor, Philadelphia, PA, 19104, USA
| | - Adam Peterson
- Department of Biostatistics, The University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Brisa N Sánchez
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Nesbitt Hall, 3215 Market St., Philadelphia, PA, 19104, USA
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Martins Pereira G, Brito J, Oliveira M, Oliveira P. Urban Noise Exposure and Cardiometabolic Diseases: An Exploratory Cross-Sectional Study in Lisbon. PORTUGUESE JOURNAL OF PUBLIC HEALTH 2021. [DOI: 10.1159/000520263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Introduction: Urban noise pollution has been associated with an increased risk of developing metabolic syndrome. Nevertheless, existing observational studies relating to noise exposure and metabolic syndrome are based on non-generalizable cohorts. Lisbon remains a noisy city where this association has not been evaluated, and for this reason, we studied the relationship between exposure to urban noise and the prevalence of type 2 diabetes mellitus, obesity, and hypertension. Methods: Diurnal, evening and nocturnal noise emission levels were obtained for each street in the city from the Lisbon noise map. After allocation of all roads to the respective parish of Lisbon, the noise emission for each parish was averaged for each day period. The number of adult patients with type 2 diabetes mellitus, obesity and hypertension in 2014, 2015 and 2016 in each parish of Lisbon was obtained from the Regional Health Administration of Lisbon and Tagus Valley. Prevalence as a percentage of the population was determined using the number of residents in each parish determined in the 2011 population census. Spearman’s non-parametric correlation coefficient was used due to the non-normal distribution of the variables, at the 5% significance level (α = 0.05). Results: No correlations were found between daytime, afternoon or night-time noise exposure and the prevalence of type 2 diabetes mellitus, obesity or hypertension, although correlations were found between the cardiometabolic variables. Nevertheless, noise levels in Lisbon were above the legally established limit and the World Health Organization guidelines for environmental noise exposure in the European region. Conclusion: Our results do not agree with previous studies and should be faced as preliminary due to a strong biological plausibility for an association between noise exposure and cardiometabolic diseases and to encourage further studies, with longitudinal cohorts.
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Topmiller M, Mallow PJ, Shaak K, Kieber-Emmons AM. Identifying priority and bright spot areas for improving diabetes care: a geospatial approach. Fam Med Community Health 2021; 9:e001259. [PMID: 34649983 PMCID: PMC8522662 DOI: 10.1136/fmch-2021-001259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
The objective of this study was to describe a novel geospatial methodology for identifying poor-performing (priority) and well-performing (bright spot) communities with respect to diabetes management at the ZIP Code Tabulation Area (ZCTA) level. This research was the first phase of a mixed-methods approach known as the focused rapid assessment process (fRAP). Using data from the Lehigh Valley Health Network in eastern Pennsylvania, geographical information systems mapping and spatial analyses were performed to identify diabetes prevalence and A1c control spatial clusters and outliers. We used a spatial empirical Bayes approach to adjust diabetes-related measures, mapped outliers and used the Local Moran's I to identify spatial clusters and outliers. Patients with diabetes were identified from the Lehigh Valley Practice and Community-Based Research Network (LVPBRN), which comprised primary care practices that included a hospital-owned practice, a regional practice association, independent small groups, clinics, solo practitioners and federally qualified health centres. Using this novel approach, we identified five priority ZCTAs and three bright spot ZCTAs in LVPBRN. Three of the priority ZCTAs were located in the urban core of Lehigh Valley and have large Hispanic populations. The other two bright spot ZCTAs have fewer patients and were located in rural areas. As the first phase of fRAP, this method of identifying high-performing and low-performing areas offers potential to mitigate health disparities related to diabetes through targeted exploration of local factors contributing to diabetes management. This novel approach to identification of populations with diabetes performing well or poor at the local community level may allow practitioners to target focused qualitative assessments where the most can be learnt to improve diabetic management of the community.
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Affiliation(s)
- Michael Topmiller
- HealthLandscape, American Academy of Family Physicians, Cincinnati, Ohio, USA
| | - Peter J Mallow
- Health Services Administration, Xavier University, Cincinnati, Ohio, USA
| | - Kyle Shaak
- Department of Family Medicine, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
| | - Autumn M Kieber-Emmons
- Department of Family Medicine, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
- School of Medicine, University of South Florida, Tampa, Florida, USA
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Liou D, Karasik JA. Living Environment Considerations on Obesity Prevention Behaviors and Self-Efficacy among Chinese Americans. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9322. [PMID: 34501910 PMCID: PMC8430683 DOI: 10.3390/ijerph18179322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 11/25/2022]
Abstract
The aim of this study is to ascertain if the living environment (type of residential neighborhood and number of household members) will elucidate differences in obesity risk reduction behaviors and self-efficacy in Chinese Americans. A cross-sectional survey design was used to recruit participants from Los Angeles County and New York City metropolitan areas. A total of 650 adults were recruited from diverse socioeconomic backgrounds. Descriptive statistics were measured for 19 behaviors reflecting food intake and portion size control and items measuring self-efficacy and attitudes. T-tests were applied for the two categories of living environment. The mean age of the sample was 36.3 years. The 'high income' neighborhood group indicated a greater frequency of behaviors, including choosing steamed over fried foods (p < 0.01) and using small amounts of oil (p < 0.05). In general, this group exhibited more favorable attitudes and stronger self-efficacy to perform health behaviors. Multiple regression analyses point to the impact of self-efficacy in predicting behaviors. Nutrition professionals must assess client's living environments in the adoption of obesity prevention behaviors and the fostering of behavioral confidence.
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Affiliation(s)
- Doreen Liou
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA;
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Turcu C, Crane M, Hutchinson E, Lloyd S, Belesova K, Wilkinson P, Davies M. A multi-scalar perspective on health and urban housing: an umbrella review. BUILDINGS & CITIES 2021; 2:734-758. [PMID: 34738085 PMCID: PMC7611930 DOI: 10.5334/bc.119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
With more than half the world's population living in cities, understanding how the built environment impacts human health at different urban scales is crucial. To be able to shape cities for health, an understanding is needed of planetary health impacts, which encompass the human health impacts of human-caused disruptions on the Earth's natural ecosystems. This umbrella review maps health evidence across the spatial scales of the built environment (building; neighbourhood; and wider system, including city, regional and planetary levels), with a specific focus on urban housing. Systematic reviews published in English between January 2011 and December 2020 were searched across 20 databases, with 1176 articles identified and 124 articles screened for inclusion. Findings suggests that most evidence reports on health determinants at the neighbourhood level, such as greenspace, physical and socio-economic conditions, transport infrastructure and access to local services. Physical health outcomes are also primarily reported, with an emerging interest in mental health outcomes. There is little evidence on planetary health outcomes and significant gaps in the research literature are identified. Based on these findings, three potential directions are identified for future research.
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Affiliation(s)
- Catalina Turcu
- The Bartlett Faculty of the Built Environment, University College London, London, UK
| | - Melanie Crane
- The Charles Perkins Centre, Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Emma Hutchinson
- Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, UK
| | - Simon Lloyd
- Climate and Health Programme (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Kristine Belesova
- Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, UK
| | - Paul Wilkinson
- Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, UK
| | - Mike Davies
- UCL Institute for Environmental Design and Engineering, Faculty of the Built Environment, University College London, London, UK
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Risk factors associated with hypertension in Bhutan: findings from the National Health Survey. JOURNAL OF HEALTH RESEARCH 2021. [DOI: 10.1108/jhr-12-2019-0278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
PurposeThis study examined the risk factors associated with hypertension in Bhutan.Design/methodology/approachThe cross-sectional data of 30,889 adults from the National Health Survey of Bhutan was used in this study. Multivariable regression accounting for the complex survey design was performed to identify the risk factors. The backward elimination approach was applied in the multivariable analysis.FindingsThe prevalence of hypertension was 17%. Increasing age, being female, being previously married, higher wealth status, past alcohol use, having diabetes, loneliness, health service use and low vegetable intake was associated with increased hypertension risk, whereas, higher education level, being employed and residing in the eastern region was associated with reduced risk. Age, gender, education, wealth status, diabetes status, loneliness and health service use were common factors in all the regions. Marital status and vegetable intake were associated with hypertension in the western and central regions, and alcohol use in the eastern and central regions.Originality/valueAffecting around one-sixth of the population, hypertension is a significant public health problem in Bhutan. Interventions to improve health education and access, motivate healthy lifestyles, and reduce harmful alcohol use, and strategies to create health-promoting social and built environments are needed to curb the hypertension epidemic and its consequences.
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Mason KE, Pearce N, Cummins S. Geographical heterogeneity across England in associations between the neighbourhood built environment and body mass index. Health Place 2021; 71:102645. [PMID: 34388580 DOI: 10.1016/j.healthplace.2021.102645] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 06/08/2021] [Accepted: 07/19/2021] [Indexed: 11/17/2022]
Abstract
Effects of residential neighbourhood environments on health may vary across geographical space, with differences in local contexts influencing how much a given neighbourhood characteristic matters for the health of local residents. Linking UK Biobank data from 302,952 urban-dwelling adults in England, collected between 2006 and 2010, to publicly available Local Authority-level data, we examined (a) whether cross-sectional associations between body mass index (BMI) and two characteristics of the neighbourhood built environment (availability of formal physical activity facilities near home, and fast-food proximity) vary by Local Authority (LA), and (b) whether cross-level interactions with LA-level physical features (natural landcover) and socio-cultural attributes (local obesity norms) reveal evidence of effect modification by these features of the wider contexts in which neighbourhoods are located. We found variation across urban England in the relationship between availability of neighbourhood formal physical activity facilities and BMI, and some evidence suggesting this association was stronger among people living in areas with less natural landcover, especially in areas outside of London. We also found that the relationship between proximity of fast-food stores to people's homes and BMI varied geographically across England. Local descriptive obesity norms were not an important modifier of this association. This paper highlights the importance of considering potential geographical heterogeneity in relationships between the built environment and health, and the implications for generalisability of research findings. By seeking to better understand sources of geographical heterogeneity, we may be able to better adapt and target built environment interventions for population health improvement.
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Affiliation(s)
- Kate E Mason
- Department of Public Health, Policy and Systems, University of Liverpool, UK; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK.
| | - Neil Pearce
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK
| | - Steven Cummins
- Population Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, UK
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