Evidence map›Paper›PMID 27644031›Full record

ArticleEnvironmental research2016

Urban vegetation and heat-related mortality in Seoul, Korea.

Ji-Young Son, Kevin J Lane, Jong-Tae Lee, Michelle L Bell

Abstract read
In one paragraph

Article in Environmental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 5 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

34 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  17. Heat-mortality relationship in North Carolina: Comparison using different exposure methods.Journal of exposure science & environmental epidemiology · 2023
    Article
  18. Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
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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

4 authors.

Ji-Young SonSchool of Forestry & Environmental Studies, Yale University, CT, USA.
Kevin J LaneSchool of Forestry & Environmental Studies, Yale University, CT, USA.
Jong-Tae LeeDepartment of Environmental Health, College of Health Science, Korea University, Seoul, Republic of Korea.
Michelle L BellSchool of Forestry & Environmental Studies, Yale University, CT, USA. Electronic address: michelle.bell@yale.edu.

Funding

Statistical Methods for Complex Enivronmental Health DataR01ES019560 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2015
$1.8M
Extreme Heat and Human Health: Characterizing Vulnerability in a Changing ClimateR21ES020152 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2012
$482k
Vulnerability and Adaptation to Heat and Air Pollution in a Changing ClimateR21ES022585 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA · 2014 to 2015
$454k
NIEHS NIH HHS R01 ES019560NIEHS NIH HHS R21 ES020152NIEHS NIH HHS R21 ES022585
6 · The paper itself

Abstract

Urban areas are particularly vulnerable to heat-related health outcomes. Simultaneous trends of climate change and urbanization may increase the urban heat-related health burden. We investigated the effects of urban vegetation on heat-related mortality, and evaluated whether different levels of vegetation and individuals' characteristics affect the temperature-mortality associations within Seoul, Korea 2000-2009. We used Normalized Difference Vegetation Index (NDVI) to assess the urban vegetation within Seoul. We applied an overdispersed Poisson generalized linear model with interaction term between temperature and indicator of NDVI group (categorized in 3 levels) to assess the effect modification of the temperature-mortality association by urban vegetation. We conducted stratified analysis to explore whether associations are affected by individual characteristics of sex and age. The association between total mortality and a 1°C increase in temperature above the 90th percentile (25.1°C) (the "heat effect") was the highest for gus with low NDVI. The heat effect was a 4.1% (95% confidence interval (CI) 2.3, 5.9%), 3.0% (95% CI 0.2, 5.9%), and 2.2% (95% CI -0.5, 5.0%) increase in mortality risk for low, medium, and high NDVI group, respectively. Estimated risks showed similar effects by sex and age. Our findings suggest a higher mortality effect of high temperature in areas with lower vegetation in Seoul, Korea.

Indexed as

Plant DevelopmentUrbanizationAgedAir PollutantsClimate ChangeEnvironmental MonitoringFemaleGeographic Information SystemsHumansInfrared RaysMaleMiddle AgedMortalityParticulate MatterSeoulUrban RenewalAir PollutantsParticulate MatterHeat islandMortalityTemperatureUrbanVegetation

Identifiers

PMID27644031
PMCPMC5071166

What OpenQuestion holds

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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.