Evidence map›Paper›PMID 30822387›Full record

ArticleEnvironmental health perspectives2019

Evidence for Urban-Rural Disparity in Temperature-Mortality Relationships in Zhejiang Province, China.

Kejia Hu, Yuming Guo, Stefan Hochrainer-Stigler, Wei Liu, Linda See, Xuchao Yang, Jieming Zhong, Fangrong Fei, Feng Chen, Yunquan Zhang and 8 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Building the model: a review of input structures in extreme temperature-health.Environmental health : a global access science source · 2026
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  13. Community-level risk factors for temperature-related mortality in France.Environmental epidemiology (Philadelphia, Pa.) · 2025
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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

18 authors.

Kejia Hu1 Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University , Zhoushan, China.
Yuming Guo2 Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University , Melbourne, Australia.
Stefan Hochrainer-Stigler3 International Institute for Applied Systems Analysis , Laxenburg, Austria.
Wei Liu3 International Institute for Applied Systems Analysis , Laxenburg, Austria.
Linda See3 International Institute for Applied Systems Analysis , Laxenburg, Austria.
Xuchao Yang1 Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University , Zhoushan, China.
Jieming Zhong5 Zhejiang Provincial Center for Disease Control and Prevention , Hangzhou, China.
Fangrong Fei5 Zhejiang Provincial Center for Disease Control and Prevention , Hangzhou, China.
Feng Chen6 Zhejiang Institute of Meteorological Sciences , Hangzhou, China.
Yunquan Zhang7 Department of Preventive Medicine, School of Health Sciences, Wuhan University , Wuhan, China.
Qi Zhao2 Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University , Melbourne, Australia.
Gongbo Chen9 Department of Global Health, School of Health Sciences, Wuhan University , Wuhan, China.
Qian Chen1 Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University , Zhoushan, China.
Yizhe Zhang10 School of Geography and Planning, Sun Yat-sen University , Guangzhou, China.
Tingting Ye1 Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University , Zhoushan, China.
Lu Ma7 Department of Preventive Medicine, School of Health Sciences, Wuhan University , Wuhan, China.
Shanshan Li2 Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University , Melbourne, Australia.
Jiaguo Qi4 Center for Global Change and Earth Observations, Michigan State University , East Lansing, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemperature-related mortality risks have mostly been studied in urban areas, with limited evidence for urban-rural differences in the temperature impacts on health outcomes.

objectivesWe investigated whether temperature-mortality relationships vary between urban and rural counties in China.

methodsWe collected daily data on 1 km gridded temperature and mortality in 89 counties of Zhejiang Province, China, for 2009 and 2015. We first performed a two-stage analysis to estimate the temperature effects on mortality in urban and rural counties. Second, we performed meta-regression to investigate the modifying effect of the urbanization level. Stratified analyses were performed by all-cause, nonaccidental (stratified by age and sex), cardiopulmonary, cardiovascular, and respiratory mortality. We also calculated the fraction of mortality and number of deaths attributable to nonoptimum temperatures associated with both cold and heat components. The potential sources of the urban-rural differences were explored using meta-regression with county-level characteristics.

resultsIncreased mortality risks were associated with low and high temperatures in both rural and urban areas, but rural counties had higher relative risks (RRs), attributable fractions of mortality, and attributable death counts than urban counties. The urban-rural disparity was apparent for cold (first percentile relative to minimum mortality temperature), with an RR of 1.47 [95% confidence interval (CI): 1.32, 1.62] associated with all-cause mortality for urban counties, and 1.98 (95% CI: 1.87, 2.10) for rural counties. Among the potential sources of the urban-rural disparity are age structure, education, GDP, health care services, air conditioners, and occupation types.

conclusionsRural residents are more sensitive to both cold and hot temperatures than urban residents in Zhejiang Province, China, particularly the elderly. The findings suggest past studies using exposure-response functions derived from urban areas may underestimate the mortality burden for the population as a whole. The public health agencies aimed at controlling temperature-related mortality should develop area-specific strategies, such as to reduce the urban-rural gaps in access to health care and awareness of risk prevention. Future projections on climate health impacts should consider the urban-rural disparity in mortality risks. https://doi.org/10.1289/EHP3556.

Indexed as

Environmental ExposureMortalityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCold TemperatureFemaleHot TemperatureHumansInfantInfant, NewbornMale

Identifiers

PMID30822387
PMCPMC6768324

What OpenQuestion holds

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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.