Evidence map›Paper›PMID 34967754›Full record

ArticleJMIR cardio2021

Effects of Urban Green Space on Cardiovascular and Respiratory Biomarkers in Chinese Adults: Panel Study Using Digital Tracking Devices.

Lin Yang, Ka Long Chan, John W M Yuen, Frances K Y Wong, Lefei Han, Hung Chak Ho, Katherine K P Chang, Yuen Shan Ho, Judy Yuen-Man Siu, Linwei Tian and 1 more

Abstract read
In one paragraph

Article in JMIR cardio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. How do taxi drivers expose to fine particulate matter (PMInternational journal of health geographics · 2024
    Article
  5. Greenness exposure: beneficial but multidimensional.Breathe (Sheffield, England) · 2023
    Review
  6. 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.

Lin YangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-5964-3233
Ka Long ChanDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-5199-2212
John W M YuenSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-1681-233X
Frances K Y WongSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-9844-451X
Lefei HanSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-3254-9527
Hung Chak HoDepartment of Urban Planning and Design, The University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-6505-3504
Katherine K P ChangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-1029-6717
Yuen Shan HoSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-2557-6554
Judy Yuen-Man SiuDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-0825-6564
Linwei TianSchool of Public Health, The University of Hong Kong, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-2240-8886
Man Sing WongDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-6439-6775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe health benefits of urban green space have been widely reported in the literature; however, the biological mechanisms remain unexplored, and a causal relationship cannot be established between green space exposure and cardiorespiratory health.

objectiveOur aim was to conduct a panel study using personal tracking devices to continuously collect individual exposure data from healthy Chinese adults aged 50 to 64 years living in Hong Kong.

methodsA panel of cardiorespiratory biomarkers was tested each week for a period of 5 consecutive weeks. Data on weekly exposure to green space, air pollution, and the physical activities of individual participants were collected by personal tracking devices. The effects of green space exposure measured by the normalized difference vegetation index (NDVI) at buffer zones of 100, 250, and 500 meters on a panel of cardiorespiratory biomarkers were estimated by a generalized linear mixed-effects model, with adjustment for confounding variables of sociodemographic characteristics, exposure to air pollutants and noise, exercise, and nutrient intake.

resultsA total of 39 participants (mean age 56.4 years, range 50-63 years) were recruited and followed up for 5 consecutive weeks. After adjustment for sex, income, occupation, physical activities, dietary intake, noise, and air pollution, significant negative associations with the NDVI for the 250-meter buffer zone were found in total cholesterol (-21.6% per IQR increase in NDVI, 95% CI -32.7% to -10.6%), low-density lipoprotein (-14.9%, 95% CI -23.4% to -6.4%), glucose (-11.2%, 95% CI -21.9% to -0.5%), and high-sensitivity C-reactive protein (-41.3%, 95% CI -81.7% to -0.9%). Similar effect estimates were found for the 100-meter and 250-meter buffer zones. After adjustment for multiple testing, the effect estimates of glucose and high-sensitivity C-reactive protein were no longer significant.

conclusionsThe health benefits of green space can be found in some metabolic and inflammatory biomarkers. Further studies are warranted to establish the causal relationship between green space and cardiorespiratory health.

Indexed as

biomarkercardiovascular diseasegreen spacerespiratory disease

Identifiers

PMID34967754
PMCPMC8759022

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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.