Evidence map›Paper›PMID 37013488›Full record

ArticleBMC public health2023

Residential surrounding greenness is associated with improved lung function in adults: a cross-sectional study in eastern China.

Wenhao Zhang, Wenjia Peng, Jun Cai, Yuhong Jiang, Cheng Zhou, Zhenqiu Zha, Jing Mi

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Wenhao Zhang *Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
Wenjia Peng *School of Public Health, Fudan University, Shanghai, China.
Jun CaiEpidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
Yuhong JiangEpidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
Cheng ZhouEpidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
Zhenqiu ZhaAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, 230601, China. zhenqiuzha@126.com.
Jing MiEpidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China. mijing@bbmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile benefits of greenness exposure to health have been reported, findings specific to lung function are inconsistent. The purpose of this study is to assess the correlations of greenness exposure with multiple lung function indicators based on chronic obstructive pulmonary disease (COPD) monitoring database from multiple cities of Anhui province in China.

methodsWe assessed the greenness using the annual average of normalized difference vegetation index (NDVI) with a distance of 1000-meter buffer around each local community or village. Three types of lung function indicators were considered, namely indicators of obstructive ventilatory dysfunction (FVC, FEV

resultsA total of 2768 participants were recruited for the investigations. An interquartile range (IQR) increase in NDVI was associated with better FVC (153.33mL, 95%CI: 44.07mL, 262.59mL), FEV

conclusionsOur findings supported that exposure to greenness was strongly related with improved lung function.

Indexed as

Air PollutionRespiratory Physiological PhenomenaAdultChinaCross-Sectional StudiesFemaleHumansLungParticulate MatterRespiratory Function TestsParticulate MatterAdultsAnhui provinceCross-sectional studyGreennessLung function

Identifiers

PMID37013488
PMCPMC10069091

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.