Evidence map›Paper›PMID 35509051›Full record

ArticleBMC public health2022

Air pollution, residential greenness, and metabolic dysfunction biomarkers: analyses in the Chinese Longitudinal Healthy Longevity Survey.

Linxin Liu, Lijing L Yan, Yuebin Lv, Yi Zhang, Tiantian Li, Cunrui Huang, Haidong Kan, Junfeng Zhang, Yi Zeng, Xiaoming Shi and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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  10. China's public health initiatives for climate change adaptation.The Lancet regional health. Western Pacific · 2023
    Review
  11. Article
  12. 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.

Linxin LiuVanke School of Public Health, Tsinghua University, Beijing, China.
Lijing L YanGlobal Heath Research Center, Duke Kunshan University, Kunshan, China.
Yuebin LvChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yi ZhangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Tiantian LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.
Haidong KanSchool of Public Health, Fudan University, Shanghai, China.
Junfeng ZhangNicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA.
Yi ZengCenter for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China.
Xiaoming ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
John S JiVanke School of Public Health, Tsinghua University, Beijing, China. johnji@tsinghua.edu.cn.ORCID 0000-0002-5002-118X

Funding

THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2009 to 2020
$10.2M
NIA NIH HHS P01 AG031719
6 · The paper itself

Abstract

backgroundWe hypothesize higher air pollution and fewer greenness exposures jointly contribute to metabolic syndrome (MetS), as mechanisms on cardiometabolic mortality.

methodsWe studied the samples in the Chinese Longitudinal Healthy Longevity Survey. We included 1755 participants in 2012, among which 1073 were followed up in 2014 and 561 in 2017. We used cross-sectional analysis for baseline data and the generalized estimating equations (GEE) model in a longitudinal analysis. We examined the independent and interactive effects of fine particulate matter (PM

resultsAt baseline, the average age of participants was 85.6 (SD: 12.2; range: 65-112). Greenness was slightly higher in rural areas than urban areas (NDVI mean: 0.496 vs. 0.444; range: 0.151-0.698 vs. 0.133-0.644). Ambient air pollution was similar between rural and urban areas (PM

conclusionsWe found air pollution and greenness had independent and interactive effect on MetS components, which may ultimately manifest in pre-mature mortality. These study findings call for green space planning in urban areas and air pollution mitigation in rural areas.

Indexed as

Air PollutantsAir PollutionMetabolic SyndromeBiomarkersChinaCross-Sectional StudiesEnvironmental ExposureHumansParticulate MatterAir PollutantsBiomarkersParticulate MatterAgingAir pollutionGreennessInteractionMetabolic syndrome

Identifiers

PMID35509051
PMCPMC9066955

What OpenQuestion holds

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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.