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      Association Between Residential Greenness, Cardiometabolic Disorders, and Cardiovascular Disease Among Adults in China

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          Key Points

          Question

          Is the general vegetation level of a residential area, referred to as residential greenness, associated with cardiovascular disease among adults, and does the presence of cardiometabolic disorders mediate or modify the association between residential greenness and cardiovascular disease?

          Findings

          In this cross-sectional study of 24 845 adults in China, residential areas with higher greenness levels were associated with a lower likelihood of cardiovascular disease. The presence of cardiometabolic disorders partially mediated the association between residential greenness and cardiovascular disease.

          Meaning

          The study’s findings may be helpful for health care professionals and policy makers in the development of strategies, such as planning for green spaces in residential areas, to mitigate the burden of cardiovascular disease.

          Abstract

          Importance

          Living in areas with more vegetation (referred to as residential greenness) may be associated with cardiovascular disease (CVD), but little data are available from low- and middle-income countries. In addition, it remains unclear whether the presence of cardiometabolic disorders modifies or mediates the association between residential greenness and CVD.

          Objective

          To evaluate the associations between residential greenness, cardiometabolic disorders, and CVD prevalence among adults in China.

          Design, Setting, and Participants

          This analysis was performed as part of the 33 Communities Chinese Health Study, a large population-based cross-sectional study that was conducted in 33 communities (ranging from 0.25-0.64 km 2) in 3 cities within the Liaoning province of northeastern China between April 1 and December 31, 2009. Participants included adults aged 18 to 74 years who had resided in the study area for 5 years or more. Greenness levels surrounding each participant’s residential community were assessed using the normalized difference vegetation index and the soil-adjusted vegetation index from 2010. Lifetime CVD status (including myocardial infarction, heart failure, coronary heart disease, cerebral thrombosis, cerebral hemorrhage, cerebral embolism, and subarachnoid hemorrhage) was defined as a self-report of a physician diagnosis of CVD at the time of the survey. Cardiometabolic disorders, including hypertension, diabetes, dyslipidemia, and overweight or obese status, were measured and defined clinically. Generalized linear mixed models were used to evaluate the association between residential greenness levels and CVD prevalence. A 3-way decomposition method was used to explore whether the presence of cardiometabolic disorders mediated or modified the association between residential greenness and CVD. Data were analyzed from October 10 to May 30, 2020.

          Main Outcomes and Measures

          Lifetime CVD status, the presence of cardiometabolic disorders, and residential greenness level.

          Results

          Among 24 845 participants, the mean (SD) age was 45.6 (13.3) years, and 12 661 participants (51.0%) were men. A total of 1006 participants (4.1%) reported having a diagnosis of CVD. An interquartile range (1-IQR) increase in the normalized difference vegetation index within 500 m of a community was associated with a 27% lower likelihood (odds ratio [OR], 0.73; 95% CI, 0.65-0.83; P < .001) of CVD prevalence, and an IQR increase in the soil-adjusted vegetation index within 500 m of a community was associated with a 26% lower likelihood (OR, 0.74; 95% CI, 0.66-0.84; P < .001) of CVD prevalence. The presence of cardiometabolic disorders was found to mediate the association between residential greenness and CVD, with mediation effects of 4.5% for hypertension, 4.1% for type 2 diabetes, 3.1% for overweight or obese status, 12.7% for hypercholesterolemia, 8.7% for hypertriglyceridemia, and 11.1% for high low-density lipoprotein cholesterol levels.

          Conclusions and Relevance

          In this cross-sectional study, higher residential greenness levels were associated with lower CVD prevalence, and this association may be partially mediated by the presence of cardiometabolic disorders. Further studies, preferably longitudinal, are warranted to confirm these findings.

          Abstract

          This cross-sectional study uses the normalized difference vegetation index and the soil-adjusted vegetation index to examine the associations between the level of residential greenness, the presence of cardiometabolic disorders, and the prevalence of cardiovascular disease among adults in China.

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          Most cited references46

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          A soil-adjusted vegetation index (SAVI)

          A.R Huete (1988)
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            Burden of Cardiovascular Diseases in China, 1990-2016

            Cardiovascular disease (CVD) remains the top cause of death in China. To our knowledge, no consistent and comparable assessments of CVD burden have been produced at subnational levels, and little is understood about the spatial patterns and temporal trends of CVD in China.
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              Exposure to Greenness and Mortality in a Nationwide Prospective Cohort Study of Women

              Background: Green, natural environments may ameliorate adverse environmental exposures (e.g., air pollution, noise, and extreme heat), increase physical activity and social engagement, and lower stress. Objectives: We aimed to examine the prospective association between residential greenness and mortality. Methods: Using data from the U.S.-based Nurses’ Health Study prospective cohort, we defined cumulative average time-varying seasonal greenness surrounding each participant’s address using satellite imagery [Normalized Difference Vegetation Index (NDVI)]. We followed 108,630 women and observed 8,604 deaths between 2000 and 2008. Results: In models adjusted for mortality risk factors (age, race/ethnicity, smoking, and individual- and area-level socioeconomic status), women living in the highest quintile of cumulative average greenness (accounting for changes in residence during follow-up) in the 250-m area around their home had a 12% lower rate of all-cause nonaccidental mortality [95% confidence interval (CI); 0.82, 0.94] than those in the lowest quintile. The results were consistent for the 1,250-m area, although the relationship was slightly attenuated. These associations were strongest for respiratory and cancer mortality. The findings from a mediation analysis suggested that the association between greenness and mortality may be at least partly mediated by physical activity, particulate matter < 2.5 μm, social engagement, and depression. Conclusions: Higher levels of green vegetation were associated with decreased mortality. Policies to increase vegetation may provide opportunities for physical activity, reduce harmful exposures, increase social engagement, and improve mental health. Planting vegetation may mitigate the effects of climate change; in addition, evidence of an association between vegetation and lower mortality rates suggests it also might be used to improve health. Citation: James P, Hart JE, Banay RF, Laden F. 2016. Exposure to greenness and mortality in a nationwide prospective cohort study of women. Environ Health Perspect 124:1344–1352; http://dx.doi.org/10.1289/ehp.1510363
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                21 September 2020
                September 2020
                21 September 2020
                : 3
                : 9
                : e2017507
                Affiliations
                [1 ]Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, Sun Yat-sen University School of Public Health, Guangzhou, China
                [2 ]Centre for Air Quality and Health Research and Evaluation, Glebe, New South Wales, Australia
                [3 ]Population Health, South Western Sydney Local Health District, Liverpool, New South Wales, Australia
                [4 ]Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
                [5 ]University of New South Wales School of Public Health and Community Medicine, Kensington, New South Wales, Australia
                [6 ]University of Queensland School of Public Health, Herston, Queensland, Australia
                [7 ]Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
                [8 ]Institute of Epidemiology, Helmholtz Zentrum Munchen–German Research Center for Environmental Health, Neuherberg, Germany
                [9 ]Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich, Germany
                [10 ]Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer
                [11 ]Department of Epidemiology and Biostatics, University at Albany, State University of New York, Rensselaer
                [12 ]International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Queensland, Australia
                [13 ]Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
                [14 ]Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China
                [15 ]Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, China
                [16 ]Department of Epidemiology and Preventive Medicine, Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
                [17 ]State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China
                Author notes
                Article Information
                Accepted for Publication: June 16, 2020.
                Published: September 21, 2020. doi:10.1001/jamanetworkopen.2020.17507
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Yang B-Y et al. JAMA Network Open.
                Corresponding Authors: Guang-Hui Dong, MD, PhD, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, Sun Yat-sen University School of Public Health, 74 Zhongshan Second Rd, Yuexiu District, Guangzhou 510080, China ( donggh5@ 123456mail.sysu.edu.cn ); Yunjiang Yu, PhD, State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China ( yuyunjiang@ 123456scies.org ).
                Author Contributions: Dr Dong had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Yang and Hu contributed equally to this work.
                Concept and design: Yang, Hu, Gao, Guo, Y. Yu, Dong.
                Acquisition, analysis, or interpretation of data: Yang, Jalaludin, Knibbs, Markevych, Heinrich, Bloom, Morawska, Lin, Jalava, Roponen, Gao, Chen, Zhou, H.-Y. Yu, Liu, Zeng, Zeeshan, Guo, Dong.
                Drafting of the manuscript: Yang, Gao, Y. Yu, Dong.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Yang, Gao, H.-Y. Yu, Liu, Guo, Dong.
                Obtained funding: Yang, Hu, Zeng, Guo, Dong.
                Administrative, technical, or material support: Yang, Hu, Knibbs, Bloom, Lin, Chen, Zeeshan, Y. Yu, Dong.
                Supervision: Heinrich, Guo, Y. Yu, Dong.
                C onflict of Interest Disclosures: Dr Bloom reported receiving personal fees and nonfinancial support from Sun Yat-sen University during the conduct of the study. No other disclosures were reported.
                Funding/Support: This study was funded by grants 81673128, 81703179, 81803196, 81872582, and 91543208 from the National Natural Science Foundation of China; grants 2016A030313342 and 2017A050501062 from the Guangdong Province Natural Science Foundation; grant 2016YFC0207000 from the National Key Research and Development Program of China; and grants 201803010054 and 201807010032 from the Science and Technology Program of Guangzhou.
                Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: The authors acknowledge the cooperation of the participants in this study, who have been very generous with their time and assistance.
                Article
                zoi200630
                10.1001/jamanetworkopen.2020.17507
                7506516
                81aee0bc-0358-46fa-a1f7-92905a5f13cd
                Copyright 2020 Yang B-Y et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 8 January 2020
                : 16 June 2020
                Categories
                Research
                Original Investigation
                Online Only
                Environmental Health

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