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Chan JA, Meisters R, Lakerveld J, Schram MT, Bosma H, Koster A. The association of neighborhood walkability and food environment with incident cardiovascular disease in The Maastricht Study. Health Place 2025; 92:103432. [PMID: 40024067 DOI: 10.1016/j.healthplace.2025.103432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 01/23/2025] [Accepted: 02/22/2025] [Indexed: 03/04/2025]
Abstract
Built environmental determinants can drive lifestyle behaviors and potentially reduce chronic disease prevalence. Few studies exist that have examined the association of obesogenic environment exposures with cardiovascular disease (CVD) outcomes. We aim to specifically examine the association between neighborhood walkability, food environment and CVD. Data from 6117 Dutch participants of The Maastricht Study, between the ages of 40 and 75 years in the Netherlands were examined. Home addresses were linked to geographic information systems data from the Geoscience and Health Cohort Consortium to create neighborhood exposures of walkability and food environment. Perceived walkability was obtained from the Abbreviated Neighborhood Environment Walkability Scale. An 11-year incidence of CVD was defined by self-reported non-fatal or fatal event (as registered by Statistics Netherlands). Cox regression models examined the association of environment exposures with incident CVD adjusted for demographic and socioeconomic variables. There was lower incidence of CVD using the perceived walkability questionnaire in those living in the most walkable neighborhood (Quartile 4 HR: .77; 95% CI = .62, .97) but not using the objective walkability index (Quartile 4 HR: 1.10; 95% CI = .89, 1.38). There was no association between the food environment and incident CVD (Quartile 4 HR: .82; 95% CI = .65, 1.04). The discordant findings between walkability measures suggest integrating residential feedback and accounting for lived experiences should be prioritized by policymakers when designing equitable neighborhoods to prevent CVD.
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Affiliation(s)
- Jeffrey Alexander Chan
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Department of Social Medicine, Maastricht University, Maastricht, the Netherlands; Department of Physical Medicine and Rehabilitation, Northern California VA Healthcare System, Martinez, CA, USA.
| | - Rachelle Meisters
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Miranda T Schram
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; Heart and Vascular Centre, Maastricht University Medical Centre+, Maastricht, the Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Hans Bosma
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
| | - Annemarie Koster
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
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Tsukada YT, Aoki-Kamiya C, Mizuno A, Nakayama A, Ide T, Aoyama R, Honye J, Hoshina K, Ikegame T, Inoue K, Bando YK, Kataoka M, Kondo N, Maemura K, Makaya M, Masumori N, Mito A, Miyauchi M, Miyazaki A, Nakano Y, Nakao YM, Nakatsuka M, Nakayama T, Oginosawa Y, Ohba N, Otsuka M, Okaniwa H, Saito A, Saito K, Sakata Y, Harada-Shiba M, Soejima K, Takahashi S, Takahashi T, Tanaka T, Wada Y, Watanabe Y, Yano Y, Yoshida M, Yoshikawa T, Yoshimatsu J, Abe T, Dai Z, Endo A, Fukuda-Doi M, Ito-Hagiwara K, Harima A, Hirakawa K, Hosokawa K, Iizuka G, Ikeda S, Ishii N, Izawa KP, Kagiyama N, Umeda-Kameyama Y, Kanki S, Kato K, Komuro A, Konagai N, Konishi Y, Nishizaki F, Noma S, Norimatsu T, Numao Y, Oishi S, Okubo K, Ohmori T, Otaki Y, Shibata T, Shibuya J, Shimbo M, Shiomura R, Sugiyama K, Suzuki T, Tajima E, Tsukihashi A, Yasui H, Amano K, Kohsaka S, Minamino T, Nagai R, Setoguchi S, Terada K, Yumino D, Tomoike H. JCS/JCC/JACR/JATS 2024 Guideline on Cardiovascular Practice With Consideration for Diversity, Equity, and Inclusion. Circ J 2025:CJ-23-0890. [PMID: 39971310 DOI: 10.1253/circj.cj-23-0890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/21/2025]
Affiliation(s)
| | - Chizuko Aoki-Kamiya
- Department of Obstetrics and Gynecology, National Cerebral and Cardiovascular Center
| | - Atsushi Mizuno
- Department of Cardiology, St. Luke's International Hospital
| | | | - Tomomi Ide
- Department of Cardiovascular Medicine, Kyushu University
| | - Rie Aoyama
- Department of Cardiology, Heart and Vascular Institute, Funabashi Municipal Medical Center
| | - Junko Honye
- Cardiovascular Center, Kikuna Memorial Hospital
| | | | | | - Koki Inoue
- Department of Neuropsychiatry, Graduate School of Medicine, Osaka Metropolitan University
| | - Yasuko K Bando
- Department of Molecular Physiology and Cardiovascular Biology, Mie University Graduate School of Medicine
| | - Masaharu Kataoka
- The Second Department of Internal Medicine, University of Occupational and Environmental Health, Japan
| | - Naoki Kondo
- Department of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University
| | - Koji Maemura
- Department of Cardiovascular Medicine, Nagasaki University Graduate School of Biomedical Sciences
| | | | - Naoya Masumori
- Department of Urology, Sapporo Medical University School of Medicine
| | - Asako Mito
- Division of Maternal Medicine, Center for Maternal-Fetal-Reproductive Medicine, National Center for Child Health and Development
| | - Mizuho Miyauchi
- Department of Cardiovascular Medicine, Nippon Medical School
| | - Aya Miyazaki
- Department of Pediatric Cardiology, Department of Adult Congenital Heart Disease, Seirei Hamamatsu General Hospital
| | - Yukiko Nakano
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Yoko M Nakao
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University
| | - Mikiya Nakatsuka
- Faculty of Health Sciences, Okayama University Graduate School of Medicine
| | - Takeo Nakayama
- Department of Health Informatics, School of Public Health, Kyoto University
| | - Yasushi Oginosawa
- The Second Department of Internal Medicine, University of Occupational and Environmental Health, Japan
| | | | - Maki Otsuka
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine
| | - Hiroki Okaniwa
- Department of Technology, Gunma Prefectural Cardiovascular Center
| | - Aya Saito
- Department of Surgery, Division of Cardiovascular Surgery, Yokohama City University, Graduate School of Medicine
| | - Kozue Saito
- Department of Neurology, Stroke Center, Nara Medical University
| | - Yasushi Sakata
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | | | - Kyoko Soejima
- Department of Cardiovascular Medicine, Kyorin University School of Medicine
| | | | - Tetsuya Takahashi
- Department of Physical Therapy, Faculty of Health Science, Juntendo University
| | - Toshihiro Tanaka
- Department of Human Genetics and Disease Diversity, Tokyo Medical and Dental University
| | - Yuko Wada
- Division of Cardiovascular Surgery, Department of Surgery, Shinshu University School of Medicine
| | | | - Yuichiro Yano
- Department of General Medicine, Juntendo University Faculty of Medicine
| | - Masayuki Yoshida
- Department of Life Sciences and Bioethics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)
| | - Toru Yoshikawa
- Research Center for Overwork-Related Disorders (RECORDs), National Institute of Occuatopnal Safety and Health, Japan (JNIOSH)
| | - Jun Yoshimatsu
- Department of Obstetrics and Gynecology, National Cerebral and Cardiovascular Center
| | - Takahiro Abe
- Department of Rehabilitation Medicine, Hokkaido University Hospital
| | - Zhehao Dai
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
| | - Ayaka Endo
- Department of Cardiology, Tokyo Saiseikai Central Hospital
| | - Mayumi Fukuda-Doi
- Department of Data Science, National Cerebral and Cardiovascular Center
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center
| | | | | | - Kyoko Hirakawa
- Department of Cardiovascular Medicine, Kumamoto University
| | | | | | - Satoshi Ikeda
- Stroke and Cardiovascular Diseases Support Center, Nagasaki University Hospital
| | - Noriko Ishii
- Department of Nursing, Sakakibara Heart Institute
| | - Kazuhiro P Izawa
- Department of Public Health, Graduate School of Health Sciences, Kobe University
| | - Nobuyuki Kagiyama
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | | | - Sachiko Kanki
- Department of Thoracic and Cardiovascular Surgery, Osaka Medical and Pharmaceutical University
| | - Katsuhito Kato
- Department of Hygiene and Public Health, Nippon Medical School
| | - Aya Komuro
- Department of Geriatric Medicine, The University of Tokyo Hospital
| | - Nao Konagai
- Department of Obstetrics and Gynecology, National Cerebral and Cardiovascular Center
| | - Yuto Konishi
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
| | - Fumie Nishizaki
- Department of Cardiology and Nephrology, Hirosaki University Graduate School of Medicine
| | - Satsuki Noma
- Department of Cardiovascular Medicine, Nippon Medical School
| | | | - Yoshimi Numao
- Department of Cardiology, Itabasih Chuo Medical Center
| | | | - Kimie Okubo
- Division of Cardiology, Department of Medicine, Nihon University School of Medicine Itabashi Hospital
| | | | - Yuka Otaki
- Department of Radiology, Sakakibara Heart Institute
| | | | - Junsuke Shibuya
- Division of Cardiovascular Intensive Care, Nippon Medical School Hospital
| | - Mai Shimbo
- Department of Cardiovascular Medicine, Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo
| | - Reiko Shiomura
- Division of Cardiovascular Intensive Care, Nippon Medical School Hospital
| | | | - Takahiro Suzuki
- Department of Cardiovascular Medicine, St. Luke's International Hospital
| | - Emi Tajima
- Department of Cardiology, Tokyo General Hospital
| | - Ayako Tsukihashi
- Department of Cardiovascular Medicine, The University of Tokyo Hospital
| | - Haruyo Yasui
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | | | - Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine
| | - Tohru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | | | - Soko Setoguchi
- Division of Education, Department of Medicine, Rutgers Robert Wood Johnson Medical School
- Division of Cardiovascular Disease and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School
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Bhatia R, Hernandez MA, Platt J, Newman AB, Siscovick DS, Mukamal KJ, Lovasi GS. Associations of neighbourhood food retail with disability and death in older adults: Cardiovascular Health Study. BMJ Nutr Prev Health 2024; 7:e000646. [PMID: 39882284 PMCID: PMC11773660 DOI: 10.1136/bmjnph-2023-000646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 11/18/2024] [Indexed: 01/31/2025] Open
Abstract
Background A healthier diet is associated with lower chronic disease burden, but the impact of neighbourhood food environments on disability and death in older adults is not known. Methods In the Cardiovascular Health Study, a cohort study of adults aged 65+, we calculated study years until death (years of life (YOL)), study years without activities of daily living (ADL) difficulty (years of able life; YoAL) and percent of study years without ADL difficulty (compression of disability). Linear regression quantified associations of food establishments within 5 km of baseline home address (as a z-score) with each outcome, adjusted for sociodemographic characteristics. Sensitivity analyses considered adjustment for risk factors and comorbidities, multiple imputation, alternate neighbourhood definitions (1-km radial buffer, census tract) and restriction on residential stability. Results We included 4298 participants followed for up to 26 years. All food retail establishments were associated with 6 months higher YoAL per SD in the main model (beta, 0.50 years; 95% CI 0.01, 0.98; p=0.046), with similar findings across sensitivity analyses except when restricting on residential stability. Supermarkets and produce markets were associated with compression of disability (beta, 2.31; 95% CI, 0.04, 4.57) and when using 1-km buffers with YOL (beta, 0.23 years; 95% CI 0.03, 0.43) and YoAL (beta, 0.21 years; 95% CI 0.01, 0.41). Non-supermarket food stores were associated with YoAL (beta, 0.67 years; 95% CI, 0.07, 1.27) and compression of disability (beta, 3.03; 95% CI 0.44, 5.62), but significance was not consistent across sensitivity analyses. Fast-food restaurants did not reach statistical significance in any model. Conclusion All food retail was associated with YOL without impairment. Neighbourhood food retail access and type may both have roles in extending YOL and years of able life among older adults, but the findings were sensitive to decisions made during measurement and modelling.
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Affiliation(s)
- Roma Bhatia
- University of Michigan Michigan Medicine, Ann Arbor, Michigan, USA
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Mark A Hernandez
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Jonathan Platt
- Epidemiology, The University of Iowa College of Public Health, Iowa City, Iowa, USA
| | - Anne B Newman
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | | | | | - Gina S Lovasi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Liu YJ, Wang XQ, Zhang G, Zhao Q, Cheng YX, Liu S, Yang BX, Luo D, Liu Q, Zou H. The association between food environments and cardiovascular disease outcomes: A systematic review. Heart Lung 2024; 68:359-366. [PMID: 39260267 DOI: 10.1016/j.hrtlng.2024.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/27/2024] [Accepted: 08/29/2024] [Indexed: 09/13/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of death worldwide, particularly affecting low- and middle-income countries. Food environments may be linked with the risk of CVD; however, current study findings regarding their relationship are inconsistent. A systematic review of their associations is needed to guide interventions to improve cardiovascular health. OBJECTIVE This systematic review aimed to comprehensively assess the relationship between food environments and CVD outcomes, including incidence, hospitalization, mortality, and recurrence rates. METHOD According to PRISMA guidelines, a systematic search was conducted until 28th March 2024, using eight databases, including PubMed, Embase, Ovid, CINAHL, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang Data. The review quality was assessed according to the Agency for Healthcare Research and Quality (AHRQ) and Newcastle-Ottawa Scale (NOS). The included studies were categorized based on their exposure factors into unhealthy, healthy, and comprehensive food environments, encompassing facilities that offer healthy and unhealthy foods. The findings were narratively synthesized according to this classification. RESULT A total of 23 studies, encompassing 13 cross-sectional studies and 10 cohort-longitudinal studies, were included in this review. Among the 20 studies on unhealthy food environments, 13 found a positive association with CVD outcomes. Of the seven studies on healthy food environments, 3 found a negative association with CVD outcomes. Additionally, 4 out of 8 studies on comprehensive food environments found a significant but inconsistent association with CVD outcomes. CONCLUSION This study suggested that unhealthy food environments are probably associated with CVD outcomes. At the same time, there is currently no conclusive evidence to indicate a relationship between healthy food environments or comprehensive food environments and CVD outcomes.
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Affiliation(s)
- Yu Jia Liu
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Xiao Qin Wang
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Guiqin Zhang
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Qiansheng Zhao
- School of Geodesy and Geomatics, Wuhan University, Wuhan, PR China
| | - Yu Xin Cheng
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Shuo Liu
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Bing Xiang Yang
- School of Nursing, Wuhan University, Wuhan, PR China; Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, PR China
| | - Dan Luo
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Qian Liu
- School of Nursing, Wuhan University, Wuhan, PR China
| | - Huijing Zou
- School of Nursing, Wuhan University, Wuhan, PR China.
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5
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Pinho MGM, Koop Y, Mackenbach JD, Lakerveld J, Simões M, Vermeulen R, Wagtendonk AJ, Vaartjes I, Beulens JWJ. Time-varying exposure to food retailers and cardiovascular disease hospitalization and mortality in the netherlands: a nationwide prospective cohort study. BMC Med 2024; 22:427. [PMID: 39379985 PMCID: PMC11462997 DOI: 10.1186/s12916-024-03648-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 09/23/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Very few studies to date investigated the prospective association of changes in exposure to the food environment with cardiovascular disease (CVD) risk. We aim to explore if time-varying exposure to the food environment was associated with hospitalization and mortality due to total and specific types of CVD in The Netherlands. METHODS In this prospective cohort study, 4,641,435 Dutch adults aged 35 + years who did not change residence in 2002-2018 were identified through registry data. Exposure to the food environment was defined as time-varying Food Environment Healthiness Index (FEHI) scores (range: - 5 to 5) and time-varying kernel density of specific food retailers (e.g., fast food outlets, supermarkets) around the home location between 2004 and 2018. The main outcome measures were hospitalization and mortality due to overall CVD, stroke, HF, and CHD occurring between 2004 and 2020, based on hospital and death registries. RESULTS In Cox regression models, each unit increase in the FEHI was associated with a lower hospitalization and mortality of CVD (hospitalization hazard ratio (HRh) = 0.90 (0.89 to 0.91), mortality hazard ratio (HRm) = 0.85 (0.82 to 0.89)), CHD (HRh = 0.88 (0.85 to 0.91), HRm = 0.80 (0.75 to 0.86)), stroke (HRh = 0.89 (0.84 to 0.93)), HRm = 0.89 (0.82 to 0.98)), and HF (HRh = 0.90 (0.84-0.96), HRm = 0.84 (0.76 to 0.92)). Increased density of local food shops, fast food outlets, supermarkets, and convenience stores and decreased density of food delivery outlets and restaurants were associated with a higher risk of CVD, CHD, stroke, and HF hospitalization and mortality. CONCLUSIONS In this observational longitudinal study, changes in exposure to a healthier food environment over 14 years were associated with a risk reduction in CVD hospitalization and mortality, in particular in urbanized areas and for younger adults and those with higher incomes.
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Affiliation(s)
- Maria Gabriela M Pinho
- Copernicus Institute, Utrecht University, Utrecht, The Netherlands
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
| | - Yvonne Koop
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Dutch Heart Foundation, The Hague, The Netherlands
| | - Joreintje D Mackenbach
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam, The Netherlands
- IRAS, Utrecht University, Utrecht, The Netherlands
| | | | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- IRAS, Utrecht University, Utrecht, The Netherlands
| | - Alfred J Wagtendonk
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam, The Netherlands
| | - Ilonca Vaartjes
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Joline W J Beulens
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands.
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
- Amsterdam Cardiovascular Sciences Research Institute, Amsterdam, The Netherlands.
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Anderson KF, Wolski C. Racial/Ethnic Residential Segregation, Neighborhood Health Care Provision, and Choice of Pediatric Health Care Provider Across the USA. J Racial Ethn Health Disparities 2024; 11:3091-3104. [PMID: 37624536 DOI: 10.1007/s40615-023-01766-4] [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: 06/12/2023] [Revised: 07/31/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023]
Abstract
Much research has been conducted that demonstrates a link between racial/ethnic residential segregation and health care outcomes. We suggest that minority segregated neighborhoods may have diminished access to organizations and that this differential access may contribute to differences in health care outcomes across communities. We analyze this specifically using the case of pediatric health care provider choice. To examine this association, we estimate a series of multinomial logistic regression models using restricted data with ZIP code level geoidentifiers from the 2011-2012 National Survey of Children's Health (NSCH). We find that racial/ethnic residential segregation is related to a greater reliance on non-ideal forms of health care, such as clinics, and hospital outpatient departments, instead of pediatric physician's offices. This association is at least partially attenuated by the distribution of health care facilities in the local area, physician's offices, and health care practitioners in particular. Additionally, families express greater dissatisfaction with these other forms of care compared to physician's offices, demonstrating that the lack of adequate health care provision is meaningful for health care outcomes. This study expands the literature by examining how the siting of health organizations has consequences for individuals residing within these areas.
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Affiliation(s)
- Kathryn Freeman Anderson
- Department of Sociology, University of Houston, 3551 Cullen Blvd, PGH Building, Room 450, Houston, TX, 77204-3012, USA.
| | - Caroline Wolski
- Department of Sociology, University of Houston, 3551 Cullen Blvd, PGH Building, Room 450, Houston, TX, 77204-3012, USA
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Garduño-Alanis A, Contreras-Manzano A, Salgado JC, Lamadrid-Figueroa H, Curi-Quinto K, Barquera S. A high density of ultra-processed food, alcohol & tobacco retail stores, and social inequalities are associated with higher mortality rates of non-communicable diseases in Mexican adults: 2005 to 2021. PLoS One 2024; 19:e0301387. [PMID: 38598474 PMCID: PMC11006154 DOI: 10.1371/journal.pone.0301387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/11/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Non-communicable diseases (NCDs) are the leading causes of mortality in Mexico. Factors contributing to NCDs-related deaths may vary across small geographic areas such as municipalities. We aimed to predict municipal-level factors associated with NCD mortality in Mexican adults from 2005 to 2021 using the small-area analysis (SSA) approach. METHODS We gathered data on population sociodemographic, access to healthcare services, and mortality records at the municipal-level from census and public institutions from 2005 to 2021. We identified municipal predictors of NCDs mortality rates (MR) using negative binomial regression models. RESULTS A total of 584,052 observations of Mexican adults were analyzed. The national expected NCDs MR per 100,000 inhabitants was 210.7 (95%CI: 196.1-226.7) in 2005 and increased to 322.4 (95%CI: 300.3-346.4) by 2021. Predictors of NCDs mortality (quintile 5 vs. quintile 1) included; indigeneity (IRR = 1.15, 95%CI: 1.12-1.19), poverty (IRR = 1.14, 95%CI: 1.13-1.15), affiliation with Mexican Social Security Institute (IRR = 1.11, 95%CI: 1.09-1.14), households with television (IRR = 1.14, 95%CI: 1.11-1.17), and high density of ultra-processed food, alcohol & tobacco retail stores (IRR = 1.15, 95%CI: 1.13-1.17). The greatest increases in MR were observed in municipalities from Oaxaca (>200% increments). CONCLUSION There was an overall increase in NCDs MR from 2005 to 2021, with a significant geographic variation among Mexican municipalities. The results of this study highlight the importance of identifying priority areas in the country that urgently require public policies focused on local factors associated with deaths from NCDs, such as the regulation of the ultra-processed food, alcohol & tobacco retail stores, and efforts to reduce social inequalities.
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Affiliation(s)
- Adriana Garduño-Alanis
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
- National Council of Humanities, Science and Technology, Mexico
- Autonomous University of the State of Mexico, Toluca, State of Mexico, Mexico
| | - Alejandra Contreras-Manzano
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
- National Council of Humanities, Science and Technology, Mexico
| | - Juan Carlos Salgado
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
- National Council of Humanities, Science and Technology, Mexico
| | - Héctor Lamadrid-Figueroa
- Center for Population Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | - Simón Barquera
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
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8
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Sachdeva B, Puri S, Aeri BT. Availability and Accessibility of Healthy and Unhealthy Foods in Neighborhood and their Association with Noncommunicable Diseases: A Scoping Review. Indian J Public Health 2024; 68:95-105. [PMID: 38847640 DOI: 10.4103/ijph.ijph_436_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/13/2023] [Indexed: 06/13/2024] Open
Abstract
ABSTRACT Worldwide, 7 million mortalities and 187.7 million morbidities have been associated with dietary risks. Poor diets emerge because of an obesogenic environment. However, clear evidence indicating an association between food environment and noncommunicable diseases (NCDs) is inconclusive. The present review was conducted to study the associations between the availability/accessibility of healthy/unhealthy foods and the risk of NCDs among adults of the age group above 18. Studies published between 2012 and 2022 were reterived using three databases - PubMed, Google Scholar, and Science Direct. Following Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), (2018) guidelines and based on the selection criteria, 3034 studies were retrieved, of which 64 were included in this review. Maximum studies were conducted in high-income countries and adopted a cross-sectional study design. Overall, the results of the review illustrate mixed findings. Compared to healthy food, direct associations between obesity and the availability/accessibility of unhealthy foods were reported (n = 12). In case of diabetes, supermarket availability was more likely to be protective (4 positive) compared to negative association with unhealthy food stores (3 associations in 11 studies). For cardiovascular diseases, an increased number of cases with fast-food outlets (n = 6) outnumbered positive associations with healthy food (n = 3). Studies concerning multiple NCDs reported direct association with unhealthy food outlets (n = 5) while inconclusive associations with healthy food. Despite a large number of studies, a weak, inconclusive relationship between food environment and NCDs was found. The use of standardized tools and longitudinal and interventional studies are warranted to rationalize the execution of the policies related to the food environment.
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Affiliation(s)
- Barkha Sachdeva
- Senior Research Fellow, Department of Food and Nutrition, Institute of Home Economics, University of Delhi, New Delhi, India
| | - Seema Puri
- Former Professor, Department of Food and Nutrition, Institute of Home Economics, University of Delhi, New Delhi, India
| | - Bani Tamber Aeri
- Professor, Department of Food and Nutrition, Institute of Home Economics, University of Delhi, New Delhi, India
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Meijer P, Numans H, Lakerveld J. Associations between the neighbourhood food environment and cardiovascular disease: a systematic review. Eur J Prev Cardiol 2023; 30:1840-1850. [PMID: 37499177 DOI: 10.1093/eurjpc/zwad252] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/02/2023] [Accepted: 07/24/2023] [Indexed: 07/29/2023]
Abstract
AIMS To systematically review the current evidence on the association between the neighbourhood food environment and cardiovascular disease (CVD) in adults. METHODS AND RESULTS We searched the literature databases CINAHL, MEDLINE, and EMBASE for studies published between 1 January 2000 and 1 May 2022. Studies focusing on the indoor home, workplace, or school food environment were excluded. Two independent reviewers screened all records. Included studies were assessed for risk of bias using the shortened QUIPS tool, and relevant data were extracted. We summarized the findings using a narrative synthesis approach. We included 15 studies after screening 5915 original records. Most studies were published in the last 4 years and were predominantly conducted in North American or European countries. These studies focused on fast-food restaurant density in the residential neighbourhood. A higher fast-food restaurant density was most consistently associated with a higher prevalence and incidence of CVD and CVD mortality, but effect sizes were small. Evidence of an association between fast-food restaurant density and myocardial infarction, or stroke was inconsistent. The other aspects of the food environment were density of food service restaurants, unhealthy food outlets, and food access score. However, there was scant evidence for these aspects. CONCLUSION We found evidence for associations between the neighbourhood food environment and CVD, suggesting that a higher fast-food restaurant density is associated with CVD and CVD mortality. Effect sizes were small but important, given the fact that a large population is exposed. Research is needed to assess the effects of other aspects of the food environment. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022317407.
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Affiliation(s)
- Paul Meijer
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081HV Amsterdam, The Netherlands
| | - Hidser Numans
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081HV Amsterdam, The Netherlands
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584CL Utrecht, The Netherlands
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Boise S, Crossa A, Etheredge AJ, McCulley EM, Lovasi GS. Concepts, Characterizations, and Cautions: A Public Health Guide and Glossary for Planning Food Environment Measurement. THE OPEN PUBLIC HEALTH JOURNAL 2023; 16:e187494452308210. [PMID: 38179222 PMCID: PMC10766432 DOI: 10.2174/18749445-v16-230821-2023-51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 01/06/2024]
Abstract
Background There is no singular approach to measuring the food environment suitable for all studies. Understanding terminology, methodology, and common issues is crucial to choosing the best approach. Objective This review is designed to support a shared understanding so diverse multi-institutional teams engaged in food environment measurement can justify their measurement choices and have informed discussions about reasons for measurement strategies to vary across projects. Methods This guide defines key terms and provides annotated resources identified as a useful starting point for exploring the food environment literature. The writing team was an academic-practice collaboration, reflecting on the experience of a multi-institutional team focused on retail environments across the US relevant to cardiovascular disease. Results Terms and annotated resources are divided into three sections: food environment constructs, classification and measures, and errors and strategies to reduce error. Two examples of methods and challenges encountered while measuring the food environment in the context of a US health department are provided. Researchers and practice professionals are directed to the Food Environment Electronic Database Directory (https://www.foodenvironmentdirectory.com/) for comparing available data resources for food environment measurement, focused on the US; this resource incorporates updates informed by user input and literature reviews. Discussion Measuring the food environment is complex and risks oversimplification. This guide serves as a starting point but only partially captures some aspects of neighborhood food environment measurement. Conclusions No single food environment measure or data source meets all research and practice objectives. This shared starting point can facilitate theoretically grounded food environment measurement.
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Affiliation(s)
- Sarah Boise
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia PA
- Penn Medicine Medical Group, University of Pennsylvania Health System, Penn Medicine
| | - Aldo Crossa
- Department of Health and Mental Hygiene, New York, NY
| | | | - Edwin M. McCulley
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia PA
| | - Gina S. Lovasi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia PA
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia PA
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Lovasi GS, Boise S, Jogi S, Hurvitz PM, Rundle AG, Diez J, Hirsch JA, Fitzpatrick A, Biggs ML, Siscovick DS. Time-Varying Food Retail and Incident Disease in the Cardiovascular Health Study. Am J Prev Med 2023; 64:877-887. [PMID: 36882344 PMCID: PMC10200742 DOI: 10.1016/j.amepre.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 03/08/2023]
Abstract
INTRODUCTION Natural experiments can strengthen evidence linking neighborhood food retail presence to dietary intake patterns and cardiometabolic health outcomes, yet sample size and follow-up duration are typically not extensive. To complement natural experiment evidence, longitudinal data were used to estimate the impacts of neighborhood food retail presence on incident disease. METHODS The Cardiovascular Health Study recruited adults aged 65+ years in 1989-1993. Analyses conducted in 2021-2022 included those in good baseline health, with addresses updated annually through the year of death (restricted to 91% who died during >2 decades of cohort follow-up). Baseline and annually updated presence of 2 combined food retail categories (supermarkets/produce markets and convenience/snack focused) was characterized using establishment-level data for 1-km and 5-km Euclidean buffers. Cox proportional hazards models estimated associations with time to each incident outcome (cardiovascular disease, diabetes), adjusting for individual and area-based confounders. RESULTS Among 2,939 participants, 36% with baseline supermarket/produce market presence within 1 km had excess incident cardiovascular disease (hazard ratio=1.12; 95% CI=1.01, 1.24); the association was attenuated and no longer statistically significant after adjustment for sociodemographic characteristics. Adjusted associations were robustly null for time-varying supermarket/produce market or convenience/fast food retail presence across analyses with outcomes of cardiovascular disease or diabetes incidence. CONCLUSIONS Food environment changes continue to be studied to provide an evidence base for policy decisions, and null findings in this longitudinal analysis add literature that casts doubt on the sufficiency of strategies targeting food retail presence alone of an elderly cohort for curtailing incident events of clinical importance.
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Affiliation(s)
- Gina S Lovasi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania.
| | - Sarah Boise
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Siddharth Jogi
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Philip M Hurvitz
- Center for Studies in Demography & Ecology, University of Washington, Seattle, Washington; Department of Urban Design and Planning, College of Built Environments, University of Washington, Seattle, Washington
| | - Andrew G Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Julia Diez
- Department of Surgery, Medical and Social Sciences, Universidad de Alcalá, Madrid, Spain
| | - Jana A Hirsch
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania
| | - Annette Fitzpatrick
- Department of Family Medicine, School of Medicine, University of Washington, Seattle, Washington; Department of Global Health, School of Medicine, University of Washington, Seattle, Washington; Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Mary L Biggs
- Department of Biostatistics, School Public Health, University of Washington, Seattle, Washington
| | - David S Siscovick
- Research, evaluation and policy, New York Academy of Medicine, New York, New York
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Victor A, Silva RDCR, Silva NDJ, Ferreira A, Barreto ML, Campello T. Influence of Unhealthy Food Environment on Premature Cardiovascular Disease Mortality in Brazil: An Ecologic Approach. Am J Prev Med 2023; 64:285-292. [PMID: 36437143 DOI: 10.1016/j.amepre.2022.09.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/20/2022] [Accepted: 09/07/2022] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Cardiovascular disease is the main cause of general and premature death of adults aged 30-69 years in Brazil and around the world. Unhealthy food environments have been implicated as one of the factors associated with cardiovascular disease morbimortality because they affect people's health conditions and nutrition. This study aims to explore the association between unhealthy food environments (deserts/swamps) and premature cardiovascular disease mortality in the Brazilian population. METHODS This is an ecologic study using data from 5,558 Brazilian municipalities in 2016. The cardiovascular disease mortality data were obtained from the Mortality Information System of the Ministry of Health. The study on mapping food deserts in Brazil, developed by the Interministerial Chamber of Food and Nutrition Security, was used to evaluate the physical dimension of food access. The authors calculated the standardized rates of premature general and specific cardiovascular disease (stroke and ischemic heart disease) causes of death in the same period. To characterize food environments, the density of unprocessed and ultraprocessed foods per 10,000 population in tertiles was used. Crude and adjusted negative binomial regression models were used to study the associations of interest. RESULTS After the necessary adjustments (human development index, gross domestic product per capita, unemployment rate, Gini index and Family Health Strategy coverage), it was found that municipalities with low unprocessed food supply were at the highest risk of increased mortality among women with ischemic heart disease (rate ratio first tertile: 1.08 [95% CI=1.01, 1.15]). Conversely, the municipalities where there was a greater offer of ultraprocessed foods showed a higher risk of death from cardiovascular diseases (rate ratio second tertile: 1.17 [95% CI=1.12, 1.22]; rate ratio third tertile: 1.20 [95% CI=1.14, 1.26]), from strokes (rate ratio second tertile: 1.19 [95% CI=1.13, 1.25]; rate ratio third tertile: 1.22 [95% CI=1.15, 1.30]), and ischemic heart disease (rate ratio second tertile: 1.19 [95% CI=1.12, 1.25]; rate ratio third tertile: 1.22 [95% CI=1.13, 1.29]). CONCLUSIONS This study's findings show an increase in the risk of cardiovascular disease, stroke, and ischemic heart disease mortality, especially in the municipalities where there was a greater offer of ultraprocessed foods. Initiatives aiming to minimize the effects of these food environments are urgently needed in the Brazilian context.
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Affiliation(s)
- Audêncio Victor
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil; School of Public Health, University of São Paulo, São Paulo, Brazil; Department of Nutrition, Ministry of Health of Mozambique, Zambezia, Mozambique.
| | - Rita de Cássia Ribeiro Silva
- Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, Brazil; School of Nutrition, Federal University of Bahia, Salvador, Brazil
| | | | - Andrêa Ferreira
- Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, Brazil; The Ubuntu Center on Racism, Global Movements, and Population Health Equity, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Maurício L Barreto
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, Brazil
| | - Tereza Campello
- School of Public Health, University of São Paulo, São Paulo, Brazil; Fiocruz School of Government, Oswaldo Cruz Foundation, Brasília, Brazil; University of Nottingham, Nottingham, United Kingdom
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