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Noorali AA, Hussain Merchant AA, Afzal N, Sen R, Junaid V, Khoja A, Al-Kindi S, Vaughan EM, Khan UI, Safdar NF, Virani SS, Sheikh S. Built Environment and Cardiovascular Diseases - Insights from a Global Review. Curr Atheroscler Rep 2025; 27:36. [PMID: 40042532 DOI: 10.1007/s11883-025-01282-2] [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] [Accepted: 02/13/2025] [Indexed: 03/20/2025]
Abstract
PURPOSE OF REVIEW This narrative review aims to synthesize global literature on the relationship between cardiovascular diseases (CVD) and components of built environment (green spaces, walkability, food environment, accessibility and availability of recreational and healthcare facilities, and effects of air and noise pollution). RECENT FINDINGS Increased green space and neighborhood walkability are associated with lower CVD mortality and morbidity; however, benefits have shown differential effects by socioeconomic status (SES). Air pollution is a leading environmental risk factor contributing to CVDs, and it disproportionately impacts low SES populations and women. Findings on relationships between food environment and CVDs are inconsistent and limited. This global review reports on the multifactorial and complex relationship between built environment and higher CVD risk and poor CVD outcomes. Future research can address an unmet need to understand this relationship with further depth and breadth, and to investigate resulting health disparities.
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Affiliation(s)
- Ali Aahil Noorali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, MD, 21205, USA
| | | | - Noreen Afzal
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Rupshikha Sen
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Vashma Junaid
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, 74800, Pakistan
| | - Adeel Khoja
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, 74800, Pakistan
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Sadeer Al-Kindi
- Center for Health & Nature, Department of Cardiology, Houston Methodist, Houston, TX, USA
| | - Elizabeth M Vaughan
- Department of Internal Medicine, University of Texas Medical Branch, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Unab I Khan
- Department of Family Medicine, The Aga Khan University, Karachi, 74800, Pakistan
| | - Nilofer F Safdar
- School of Public Health, Dow University of Health Sciences, Karachi, 74800, Pakistan
| | - Salim S Virani
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, 74800, Pakistan
- Department of Public Health, The Aga Khan University, Nairobi, Kenya
| | - Sana Sheikh
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, 74800, Pakistan.
- Department of Public Health, The Aga Khan University, Nairobi, Kenya.
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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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Deng S, Liang J, Peng Y, Liu W, Su J, Zhu S. Spatial analysis of the impact of urban built environment on cardiovascular diseases: a case study in Xixiangtang, China. BMC Public Health 2024; 24:2368. [PMID: 39217314 PMCID: PMC11366168 DOI: 10.1186/s12889-024-19884-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND The built environment, as a critical factor influencing residents' cardiovascular health, has a significant potential impact on the incidence of cardiovascular diseases (CVDs). METHODS Taking Xixiangtang District in Nanning City, Guangxi Zhuang Autonomous Region of China as a case study, we utilized the geographic location information of CVD patients, detailed road network data, and urban points of interest (POI) data. Kernel density estimation (KDE) and spatial autocorrelation analysis were specifically employed to identify the spatial distribution patterns, spatial clustering, and spatial correlations of built environment elements and diseases. The GeoDetector method (GDM) was used to assess the impact of environmental factors on diseases, and geographically weighted regression (GWR) analysis was adopted to reveal the spatial heterogeneity effect of environmental factors on CVD risk. RESULTS The results indicate that the built environment elements and CVDs samples exhibit significant clustering characteristics in their spatial distribution, with a positive correlation between the distribution density of environmental elements and the incidence of CVDs (Moran's I > 0, p < 0.01). Further factor detection revealed that the distribution of healthcare facilities had the most significant impact on CVDs (q = 0.532, p < 0.01), followed by shopping and consumption (q = 0.493, p < 0.01), dining (q = 0.433, p < 0.01), and transportation facilities (q = 0.423, p < 0.01), while the impact of parks and squares (q = 0.174, p < 0.01) and road networks (q = 0.159, p < 0.01) was relatively smaller. Additionally, the interaction between different built environment elements exhibited a bi-factor enhancement effect on CVDs. In the local analysis, the spatial heterogeneity of different built environment elements on CVDs further revealed the regional differences and complexities. CONCLUSIONS The spatial distribution of built environment elements is significantly correlated with CVDs to varying degrees and impacts differently across regions, underscoring the importance of the built environment on cardiovascular health. When planning and improving urban environments, elements and areas that have a more significant impact on CVDs should be given priority consideration.
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Affiliation(s)
- Shuguang Deng
- School of Geographical and Planning, Nanning Normal University, Nanning, 530100, Guangxi, China
| | - Jinlong Liang
- School of Geographical and Planning, Nanning Normal University, Nanning, 530100, Guangxi, China.
| | - Ying Peng
- School of Architecture, Guangxi Arts University, Nanning, 530009, Guangxi, China
| | - Wei Liu
- Fatulty of Innovation and Design, City University of Macau, Macau, 999078, China
| | - Jinhong Su
- School of Geographical and Planning, Nanning Normal University, Nanning, 530100, Guangxi, China
| | - Shuyan Zhu
- School of Geographical and Planning, Nanning Normal University, Nanning, 530100, Guangxi, China
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Kim Y, Rangel J, Colabianchi N. Food Environments and Cardiovascular Disease: Evidence From the Health and Retirement Study. Am J Prev Med 2024; 67:201-209. [PMID: 38484903 DOI: 10.1016/j.amepre.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 04/11/2024]
Abstract
INTRODUCTION Residential food environments are one of the important determinants of cardiovascular health. However, past literature has been limited by short-term follow-ups, time-invariant environmental measurements at baseline, and/or not investigating both healthy and unhealthy aspects of the food environment. This study examines the effects of time-varying healthy and unhealthy food environments on incident cardiovascular disease (CVD) over 10 years, extracting data from the Health and Retirement Study (2006-2016; N=10,413). METHODS Cox proportional hazards modeling was performed with inverse probability weighting to assess the association between time-varying food environmental measures (i.e., densities of grocery stores, supercenters/club stores, full-service restaurants, and fast-food restaurants) and incident CVD over 10 years. Education level and race/ethnicity were tested as potential moderators. Analyses were conducted in 2022-2023. RESULTS Race/ethnicity had a significant interaction effect with supercenters/club stores and indicated that a 1-standard-deviation increase in the density of supercenters/club stores was associated with a 6%-8% lower risk of incident CVD in non-Hispanic Black (HR=0.78, 95% CI=0.70-0.87) and Hispanic older adults (HR=0.69, 95% CI=0.50-0.96), but not non-Hispanic White older adults. Additionally, education had a significant interaction effect with full-service restaurants, indicating that a 1-standard-deviation increase in the density of full-service restaurants was associated with a 10% lower risk of incident CVD in individuals with 13+ years of schooling, but not those with 0-12 years of schooling. CONCLUSIONS Findings suggest that public policymakers should be aware of the benefits and nuances of varying food environment components as they can contribute to positive or negative cardiovascular health.
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Affiliation(s)
- Yeonwoo Kim
- Department of Kinesiology, University of Texas at Arlington, Arlington, Texas; School of Social Work, University of Texas at Arlington, Arlington, Texas.
| | - Joseph Rangel
- Department of Kinesiology, University of Texas at Arlington, Arlington, Texas
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Irankhah K, Asadimehr S, Kiani B, Jamali J, Rezvani R, Sobhani SR. Investigating the role of the built environment, socio-economic status, and lifestyle factors in the prevalence of chronic diseases in Mashhad: PLS-SEM model. Front Public Health 2024; 12:1358423. [PMID: 38813428 PMCID: PMC11133713 DOI: 10.3389/fpubh.2024.1358423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/29/2024] [Indexed: 05/31/2024] Open
Abstract
Background Chronic diseases remain a significant contributor to both mortality and disability in our modern world. Physical inactivity and an unhealthy diet are recognized as significant behavioral risk factors for chronic diseases, which can be influenced by the built environment and socio-economic status (SES). This study aims to investigate the relationship between the built environment, SES, and lifestyle factors with chronic diseases. Methods The current study was conducted in Mashhad's Persian cohort, which included employees from Mashhad University of Medical Sciences (MUMS). In the study, 5,357 participants from the cohort were included. To assess the state of the built environment in Mashhad, a Geographic Information System (GIS) map was created for the city and participants in the Persian Mashhad study. Food intake and physical exercise were used to assess lifestyle. A food frequency questionnaire (FFQ) was used to assess food intake. To assess food intake, the diet quality index was computed. To assess the link between variables, the structural model was created in accordance with the study's objectives, and partial least square structural equation modeling (PLS-SEM) was utilized. Results The chronic diseases were positively associated with male sex (p < 0.001), married (p < 0.001), and higher age (p < 0.001). The chronic diseases were negatively associated with larger family size (p < 0.05), higher SES (p < 0.001), and higher diet quality index (DQI) (p < 0.001). No significant relationship was found between chronic disease and physical activity. Conclusion Food intake and socioeconomic status have a direct impact on the prevalence of chronic diseases. It seems that in order to reduce the prevalence of chronic diseases, increasing economic access, reducing the class gap and increasing literacy and awareness should be emphasized, and in the next step, emphasis should be placed on the built environment.
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Affiliation(s)
- Kiyavash Irankhah
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Soheil Asadimehr
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Behzad Kiani
- UQ Center for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Jamshid Jamali
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Biostatistics, School of Health, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Reza Rezvani
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyyed Reza Sobhani
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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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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Lai KY, Webster C, Gallacher JE, Sarkar C. Associations of Urban Built Environment with Cardiovascular Risks and Mortality: a Systematic Review. J Urban Health 2023; 100:745-787. [PMID: 37580546 PMCID: PMC10447831 DOI: 10.1007/s11524-023-00764-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/28/2023] [Indexed: 08/16/2023]
Abstract
With rapid urbanization, built environment has emerged as a set of modifiable factors of cardiovascular disease (CVD) risks. We conducted a systematic review to synthesize evidence on the associations of attributes of urban built environment (e.g. residential density, land use mix, greenness and walkability) with cardiovascular risk factors (e.g. hypertension and arterial stiffness) and major CVD events including mortality. A total of 63 studies, including 31 of cross-sectional design and 32 of longitudinal design conducted across 21 geographical locations and published between 2012 and 2023 were extracted for review. Overall, we report moderately consistent evidence of protective associations of greenness with cardiovascular risks and major CVD events (cross-sectional studies: 12 of 15 on hypertension/blood pressure (BP) and 2 of 3 on arterial stiffness; and longitudinal studies: 6 of 8 on hypertension/BP, 7 of 8 on CVD mortality, 3 of 3 on ischemic heart disease mortality and 5 of 8 studies on stroke hospitalization or mortality reporting significant inverse associations). Consistently, walkability was associated with lower risks of hypertension, arterial stiffness and major CVD events (cross-sectional studies: 11 of 12 on hypertension/BP and 1 of 1 on arterial stiffness; and longitudinal studies: 3 of 6 on hypertension/BP and 1 of 2 studies on CVD events being protective). Sixty-seven percent of the studies were rated as "probably high" risk of confounding bias because of inability to adjust for underlying comorbidities/family history of diseases in their statistical models. Forty-six percent and 14% of the studies were rated as "probably high" risk of bias for exposure and outcome measurements, respectively. Future studies with robust design will further help elucidate the linkages between urban built environment and cardiovascular health, thereby informing planning policies for creating healthy cities.
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Affiliation(s)
- Ka Yan Lai
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Urban Systems Institute, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - John Ej Gallacher
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Chinmoy Sarkar
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
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Huang Y, Zhao H, Deng Q, Qi Y, Sun J, Wang M, Chang J, Hu P, Su Y, Long Y, Liu J. Association of neighborhood physical activity facilities with incident cardiovascular disease. Int J Health Geogr 2023; 22:16. [PMID: 37516882 PMCID: PMC10386722 DOI: 10.1186/s12942-023-00340-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/19/2023] [Indexed: 07/31/2023] Open
Abstract
BACKGROUND The availability of physical activity (PA) facilities in neighborhoods is hypothesized to influence cardiovascular disease (CVD), but evidence from individual-level long-term cohort studies is limited. We aimed to assess the association between neighborhood exposure to PA facilities and CVD incidence. METHODS A total of 4658 participants from the Chinese Multi-provincial Cohort Study without CVD at baseline (2007-2008) were followed for the incidence of CVD, coronary heart disease (CHD), and stroke. Availability of PA facilities was defined as both the presence and the density of PA facilities within a 500-m buffer zone around the participants' residential addresses. Time-dependent Cox regression models were performed to estimate the associations between the availability of PA facilities and risks of incident CVD, CHD, and stroke. RESULTS During a median follow-up of 12.1 years, there were 518 CVD events, 188 CHD events, and 355 stroke events. Analyses with the presence indicator revealed significantly lower risks of CVD (hazard ratio [HR] 0.80, 95% confidence interval ([CI] 0.65-0.99) and stroke (HR 0.76, 95% CI 0.60-0.97) in participants with PA facilities in the 500-m buffer zone compared with participants with no nearby facilities in fully adjusted models. In analyses with the density indicator, exposure to 2 and ≥ 3 PA facilities was associated with 35% (HR 0.65, 95% CI 0.47-0.91) and 28% (HR 0.72, 95% CI 0.56-0.92) lower risks of CVD and 40% (HR 0.60, 95% CI 0.40-0.90) and 38% (HR 0.62, 95% CI 0.46-0.84) lower risks of stroke compared with those without any PA facilities in 500-m buffer, respectively. Effect modifications between presence of PA facilities and a history of hypertension for incident stroke (P = 0.049), and a history of diabetes for incident CVD (P = 0.013) and stroke (P = 0.009) were noted. CONCLUSIONS Residing in neighborhoods with better availability of PA facilities was associated with a lower risk of incident CVD. Urban planning intervention policies that increase the availability of PA facilities could contribute to CVD prevention.
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Affiliation(s)
- Yulin Huang
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Huimin Zhao
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, 100084, China
| | - Qiuju Deng
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Yue Qi
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Jiayi Sun
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Miao Wang
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Jie Chang
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Piaopiao Hu
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Yuwei Su
- School of Urban Design, Wuhan University, Wuhan, 430072, China
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, 100084, China.
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China.
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China.
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China.
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China.
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China.
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Wang G, Yang FF, Lin G, Wang Z, Zhang X. Modification of low temperature-related hospital admissions for cardiovascular diseases by multiple green space indicators at multiple spatial scales: Evidence from Guangzhou, China. Int J Hyg Environ Health 2023; 251:114193. [PMID: 37247607 DOI: 10.1016/j.ijheh.2023.114193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 05/21/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023]
Abstract
BACKGROUND Extreme temperatures have an adverse effect on the occurrence of cardiovascular diseases (CVDs). Previous literatures tend to discuss the modification of CVDs occurrence by green space under high temperature. Relatively less attention is paid to the modification under low temperature. The variation of different attributes and spatial scales of green space in affecting CVDs occurrence are also overlooked. METHODS This study collected a total of 4364 first-time admission cases due to CVDs in a tertiary hospital in Guangzhou from 2012 to 2018, measured the scale of green space by greening rate (GR) and percentage of landscape (PLAND), the distribution of green space by patch density (PD), mean nearest neighbor distance (ENN_MN) and largest patch index (LPI), and the accessibility of green space by green patch accessibility index (GPAI). Using the time stratified case crossover design method, the modification of low temperature-related CVDs occurrence by the above green space indicators is evaluated in an area with a radius of 100-1000 m which is further divided at an interval of 100 m. RESULTS We found high GR, high PLAND, high PD, low ENN_MN, high LPI, and low GPAI corresponds to low risk of CVDs occurrence, the optimal modification scale of each green space indicator, which is radius corresponding to the maximum risk difference between high and low indicator subgroups, is around 800 m (GR), 600 m (PLAND and PD), 500 m (GPAI), and 300 m (LPI and ENN_MN), respectively. As the temperature decreases further, the health benefit from low GPAI at the optimal scale is weakened, whereas the benefits from the others are strengthened. CONCLUSIONS Low temperature related CVDs occurrence risk can be modified by multiple green space indicators, and these modifications have spatial scale effect. Our findings have important theoretical and practical significance for the formulation and implementation of local green space policies.
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Affiliation(s)
- Guobin Wang
- School of Geography and Planning, Sun Yat-Sen University, GuangZhou, 510006, China
| | - Fiona Fan Yang
- School of Geography and Planning, Sun Yat-Sen University, GuangZhou, 510006, China
| | - Geng Lin
- School of Geography and Planning, Sun Yat-Sen University, GuangZhou, 510006, China.
| | - Zhuoqing Wang
- Department of Scientific Research & Discipline Development, The First Affiliated Hospital Sun Yat-sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
| | - Xiangxue Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China
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Li Y, Gao X, Xu Y, Cao J, Ding W, Li J, Yang H, Huang Y, Ge J. A multicomponent index method to evaluate the relationship between urban environment and CHD prevalence. Spat Spatiotemporal Epidemiol 2023. [DOI: 10.1016/j.sste.2023.100569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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11
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Liu C, Li Y, Li J, Jin C, Zhong D. The Effect of Psychological Burden on Dyslipidemia Moderated by Greenness: A Nationwide Study from China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14287. [PMID: 36361165 PMCID: PMC9659001 DOI: 10.3390/ijerph192114287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
Globally, dyslipidemia is now become a leading risk factor for many adverse health outcomes, especially in the middle-aged and elderly. Recent evidence suggests that exposure to greenness and the relief of a psychological burden may decrease the prevalence of dyslipidemia. The objective of our study was to examine whether a green space can moderate the association between mental health status and dyslipidemia. Our study selected the datasets of depression symptoms, dyslipidemia from the China Health and Retirement Longitudinal Study (CHARLS), and the satellite-based normalized difference vegetation index (NDVI) from the 30 m annual maximum NDVI dataset in China in 2018. Ultimately, a total of 10,022 middle-aged and elderly Chinese were involved in our study. Multilevel logistic regressions were performed to examine the association between symptoms of depression and dyslipidemia, as well as the moderate effect of greenness exposure on the association. Our research suggested that adults diagnosed with depression symptoms were more likely to suffer from dyslipidemia. In addition, the NDVI was shown to moderate the effect of depression on dyslipidemia significantly, though the effect was attenuated as depression increased. Regarding the moderate effect of the NDVI on the above association across age, gender, and residence, the findings presented that females, the elderly, and respondents living in urban areas were at a greater risk of having dyslipidemia, although the protective effect of the NDVI was considered. Likewise, the moderate effect of the NDVI gradually decreased as the level of depression increased in different groups. The current study conducted in China provides insights into the association between mental health, green space, and dyslipidemia. Hence, improving mental health and green spaces can be potential targets for medical interventions to decrease the prevalence of dyslipidemia.
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Affiliation(s)
- Chengcheng Liu
- School of Social Development and Public Policy, Beijing Normal University, Beijing 100875, China
| | - Yao Li
- School of Social Development and Public Policy, Beijing Normal University, Beijing 100875, China
| | - Jing Li
- Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Chenggang Jin
- School of Social Development and Public Policy, Beijing Normal University, Beijing 100875, China
| | - Deping Zhong
- National Institute of Natural Hazards, Ministry of Emergency Management of the People’s Republic of China, Beijing 100085, China
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Liu XX, Ma XL, Huang WZ, Luo YN, He CJ, Zhong XM, Dadvand P, Browning MHEM, Li L, Zou XG, Dong GH, Yang BY. Green space and cardiovascular disease: A systematic review with meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 301:118990. [PMID: 35181451 DOI: 10.1016/j.envpol.2022.118990] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/15/2022] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
Exposure to green space has been proposed to be beneficially associated with cardiovascular morbidity and mortality. Many studies have explored this topic, but the results remain conflicting. We aimed to evaluate the epidemiological evidence on this topic by performing a systematic review with meta-analysis. We searched PubMed, Web of Science and Embase for studies on the association between green space and cardiovascular disease (CVD) that were published till January 2022. Two authors independently performed study selection, data extraction, quality assessment, and risk of bias assessment. For studies providing detailed numeric data, we also conducted quantitative meta-analyses and calculated the pooled odd ratios (ORs) for associations between the most commonly used exposure estimate (normalized difference vegetative index [NDVI]) and five CVD events: CVD mortality, ischemic heart disease (IHD) mortality, cerebrovascular disease (CBVD) mortality, and stroke incidence/prevalence. Additional analyses were conducted to explore the geographical scale effects of NDVI. Publication bias tests were also conducted. Of the 6787 records identified, 53 studies were eligible for inclusion. These studies covered 18 countries and included data from more than 100 million persons. Meta-analyses showed that a 0.1 increase in NDVI was significantly associated with 2-3% lower odds of CVD mortality (OR: 0.97, 95% CI: 0.96-0.99), IHD mortality (OR: 0.98, 95% CI: 0.96-1.00), CBVD mortality (OR: 0.98, 95% CI: 0.97-1.00), and stroke incidence/prevalence (OR: 0.98, 95% CI: 0.96-0.99). There was no significant difference between the pooled estimates for different buffer sizes. No evidence of publication bias was detected. We provide strong and robust evidence for the beneficial effects of green space exposure on cardiovascular health. More prospective studies and mechanistic studies, especially that conducted in low- and middle-income countries, are merited to strengthen our conclusions.
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Affiliation(s)
- Xiao-Xuan Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xin-Li Ma
- Department of Public Health, The First People's Hospital of Kashi (the Affiliated Kashi Hospital of Sun Yat-Sen University), Kashi, China
| | - Wen-Zhong Huang
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Ya-Na Luo
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Chuan-Jiang He
- Department of Clinical Laboratory, The First People's Hospital of Kashi (the Affiliated Kashi Hospital of Sun Yat-Sen University), Kashi, China
| | - Xue-Mei Zhong
- Department of Respiratory and Critical Care Medicine, The First People's Hospital of Kashi (the Affiliated Kashi Hospital of Sun Yat-Sen University), Kashi, China
| | - Payam Dadvand
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Matthew H E M Browning
- Department of Park, Recreation, and Tourism Management, Clemson University, Clemson, SC, 29634, USA
| | - Li Li
- Department of Respiratory and Critical Care Medicine, The First People's Hospital of Kashi (the Affiliated Kashi Hospital of Sun Yat-Sen University), Kashi, China
| | - Xiao-Guang Zou
- Department of Respiratory and Critical Care Medicine, The First People's Hospital of Kashi (the Affiliated Kashi Hospital of Sun Yat-Sen University), Kashi, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Department of Gynecology and Obstetrics, The First People's Hospital of Kashi Prefecture (the Affiliated Kashi Hospital of Sun Yat-Sen University), Kashi, 844000, China.
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