Evidence map›Paper›PMID 40319263›Full record

ArticleBMC public health2025

Long-term exposure to residential greenness and cardiovascular disease and all-cause mortality in China.

Xue Cao, Nuerguli Tuerdi, Haosu Tang, Yujie Zhang, Xin Wang, Congyi Zheng, Yixin Tian, Xue Yu, Xuyan Pei, Gang Huang and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Xue Cao *Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Nuerguli Tuerdi *Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Haosu TangState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Yujie ZhangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Xin WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Congyi ZhengDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Yixin TianDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Xue YuDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Xuyan PeiDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China.
Gang HuangState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Zengwu WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102308, China. wangzengwu@foxmail.com.

Funding

National Health Commission of the People's Republic of China NHC2020-609National High Level Hospital Clinical Research Funding 2023-GSP-RC-18National Science and Technology Program during the Twelfth Five-year Plan Period 2011BAI11B01the CAMS Innovation Fund for Medical Sciences 2017-I2M-1-004
6 · The paper itself

Abstract

backgroundInfluence of residential greenness on CVD risk has garnered increasing attention, however, evidence from large-scale cohort studies in developing nations, such as China, remains sparse. This study aimed to evaluate the association of residential greenness with CVD and mortality, and explore the potential mediating role of modifiable risk factors in the associations.

methodsA total of 22,702 participants aged 35 years and above were enrolled between October 2012 and December 2015. Residential greenness was assessed using Normalized Difference Vegetation Index (NDVI) within radii of 300 m, 500 m, and 1000 m from participants' residential address (NDVI

resultsResidential greenness demonstrated a significant association with the risk of CVD, with HRs per tertile increment of 0.84 (95% confidential interval [CI]: 0.77-0.92) for NDVI

conclusionThis study provides compelling evidence that higher residential greenness is associated with a reduced risk of CVD among the adult Chinese population, with specific modifiable risk factors playing a mediating role. These findings underscore the significance of incorporating green space interventions into CVD prevention strategies.

Indexed as

Cardiovascular DiseasesMortalityResidence CharacteristicsAdultAgedChinaFemaleHumansMaleMiddle AgedRisk FactorsCardiovascular diseaseEpidemiologyGreennessMediation analysis

Identifiers

PMID40319263
PMCPMC12048953

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.