Evidence map›Paper›PMID 26950139›Full record

ArticleInternational journal of environmental research and public health2016

Estimating Temperature-Mortality Exposure-Response Relationships and Optimum Ambient Temperature at the Multi-City Level of China.

Qiang Zeng, Guoxing Li, Yushan Cui, Guohong Jiang, Xiaochuan Pan

Abstract readMulticenter Study
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Mortality Effect of Apparent Temperature: A Multi-City Study in Asia.International journal of environmental research and public health · 2021
    Pooled it
  2. Pooled it
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  9. Review
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  13. Ambient temperature and non-accidental mortality: a time series study.Environmental science and pollution research international · 2020
    Article
  14. Article
  15. How Does Ambient Air Temperature Affect Diabetes Mortality in Tropical Cities?International journal of environmental research and public health · 2017
    Article
  16. 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

5 authors.

Qiang ZengTianjin Centers for Disease Control and Prevention, Huayue Road, Hedong District, Tianjin 300011, China. zengqianghaiyan@126.com.
Guoxing LiDepartment of Occupational and Environmental Health, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China. liguoxing@hsc.pku.edu.cn.
Yushan CuiTianjin Centers for Disease Control and Prevention, Huayue Road, Hedong District, Tianjin 300011, China. yushan.273@163.com.
Guohong JiangTianjin Centers for Disease Control and Prevention, Huayue Road, Hedong District, Tianjin 300011, China. jiangguohongtjcdc@126.com.
Xiaochuan PanDepartment of Occupational and Environmental Health, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing 100191, China. xcpan@hsc.pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have explored temperature-mortality relationships in China, especially at the multi-large city level. This study was based on the data of seven typical, large Chinese cities to examine temperature-mortality relationships and optimum temperature of China. A generalized additive model (GAM) was applied to analyze the acute-effect of temperature on non-accidental mortality, and meta-analysis was used to merge data. Furthermore, the lagged effects of temperature up to 40 days on mortality and optimum temperature were analyzed using the distributed lag non-linear model (DLNM). We found that for all non-accidental mortality, high temperature could significantly increase the excess risk (ER) of death by 0.33% (95% confidence interval: 0.11%, 0.56%) with the temperature increase of 1 °C. Similar but non-significant ER of death was observed when temperature decreased. The lagged effect of temperature showed that the relative risk of non-accidental mortality was lowest at 21 °C. Our research suggests that high temperatures are more likely to cause an acute increase in mortality. There was a lagged effect of temperature on mortality, with an optimum temperature of 21 °C. Our results could provide a theoretical basis for climate-related public health policy.

Indexed as

Environmental ExposureUrban HealthAge DistributionAir PollutionAsian PeopleChinaCitiesClimateEnvironmental MonitoringHeat Stress DisordersHot TemperatureHumansModels, TheoreticalNonlinear DynamicsPublic Health SurveillancePublic Policydistributed lag non-linear modelgeneralized additive modellagged effectsmortalitytemperature

Identifiers

PMID26950139
PMCPMC4808942

What OpenQuestion holds

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LicenceCC BY
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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.