Evidence map›Paper›PMID 32955574›Full record

ArticleJAMA network open2020

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

Bo-Yi Yang, Li-Wen Hu, Bin Jalaludin, Luke D Knibbs, Iana Markevych, Joachim Heinrich, Michael S Bloom, Lidia Morawska, Shao Lin, Pasi Jalava and 11 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Associations of Urban Built Environment with Cardiovascular Risks and Mortality: a Systematic Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    Pooled it
  2. Impacts of Urban Green on Cardiovascular and Cerebrovascular Diseases-A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023
    Pooled it
  3. Green Space and Health in Mainland China: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  4. Article
  5. Article
  6. Association between residential greenness and the risk of inflammatory bowel disease in patients with COVID-19: A Korean nationwide cohort study.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026
    Article
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  12. Association between residential greenness and allergic diseases among adolescents in South Korea: A nationwide representative study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 11 institutions in 6 countries.

Bo-Yi YangGuangdong 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.
Li-Wen HuGuangdong 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.
Bin JalaludinCentre for Air Quality and Health Research and Evaluation, Glebe, New South Wales, Australia.
Luke D KnibbsUniversity of Queensland School of Public Health, Herston, Queensland, Australia.
Iana MarkevychInstitute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany.
Joachim HeinrichInstitute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany.
Michael S BloomDepartment of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer.
Lidia MorawskaInternational Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Queensland, Australia.
Shao LinDepartment of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer.
Pasi JalavaDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.
Marjut RoponenDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.
Meng GaoDepartment of Geography, Hong Kong Baptist University, Hong Kong SAR, China.
Duo-Hong ChenGuangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, China.
Yang ZhouGuangdong 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.
Hong-Yao YuGuangdong 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.
Ru-Qing LiuGuangdong 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.
Xiao-Wen ZengGuangdong 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.
Mohammed ZeeshanGuangdong 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.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia.
Yunjiang YuState Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China.
Guang-Hui DongGuangdong 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.
Sun Yat-sen University · CNLudwig-Maximilians-Universität München · DEQueensland University of Technology · AUUniversity of Eastern Finland · FIAlbany State University · USCentre for Safe AirGuangdong Province Environmental Monitoring Center · CNHong Kong Baptist University · HKMonash University · AUSouth China Institute Of Environmental Sciences · CNThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 km2) 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.

Indexed as

Parks, RecreationalAdultAgedCardiovascular DiseasesCerebrovascular DisordersChinaCoronary DiseaseDiabetes Mellitus, Type 2DyslipidemiasFemaleHumansHypertensionMaleMetabolic SyndromeMiddle AgedMyocardial Infarction

Identifiers

PMID32955574
PMCPMC7506516
OpenAlexW3087545860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.