Evidence map›Paper›PMID 32933549›Full record

ArticleEnvironmental health : a global access science source2020

Comparison of life loss per death attributable to ambient temperature among various development regions: a nationwide study in 364 locations in China.

Siqi Chen, Yize Xiao, Maigeng Zhou, Chunliang Zhou, Min Yu, Biao Huang, Yanjun Xu, Tao Liu, Jianxiong Hu, Xiaojun Xu and 17 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

27 authors at 6 institutions in 1 country.

Siqi ChenGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Yize XiaoYunnan Center for Disease Control and Prevention, Kunming, 650022, China.
Maigeng ZhouThe National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China.
Chunliang ZhouDepartment of environment and health, Hunan Provincial Center for Disease Control and Prevention, Changsha, 450001, China.
Min YuZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Biao HuangJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, China.
Yanjun XuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Tao LiuGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Jianxiong HuGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Xiaojun XuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Lifeng LinGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Ruying HuZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Zhulin HouJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, China.
Junhua LiDepartment of environment and health, Hunan Provincial Center for Disease Control and Prevention, Changsha, 450001, China.
Donghui JinDepartment of environment and health, Hunan Provincial Center for Disease Control and Prevention, Changsha, 450001, China.
Mingfang QinYunnan Center for Disease Control and Prevention, Kunming, 650022, China.
Qinglong ZhaoJilin Provincial Center for Disease Control and Prevention, Changchun, 130062, China.
Weiwei GongZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Peng YinThe National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China.
Yiqing XuDepartment of environment and health, Hunan Provincial Center for Disease Control and Prevention, Changsha, 450001, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Weilin ZengGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Xing LiGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Lingchuan GuoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China.
Yonghui ZhangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Cunrui HuangSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Wenjun MaGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No.160, Qunxian Road, Panyu District, Guangzhou, 511430, Guangdong, China. mawj@gdiph.org.cn.ORCID 0000-0002-9266-4802
Guangdong Provincial Center for Disease Control and Prevention · CNHunan Provincial Center for Disease Control and Prevention · CNZhejiang Center for Disease Control and Prevention · CNNational Center for Chronic and Noncommunicable Disease Control and Prevention · CNYunnan Center for Disease Control And Prevention · CNSun Yat-sen University · CN

Funding

Guangzhou Science and Technology Project 201704020194National Key Research and Development Program of China 2018YFA0606200Natural Science Foundation of Guangdong, China 2019A1515011880
6 · The paper itself

Abstract

backgroundSeveral studies have investigated the associations between ambient temperature and years of life lost (YLLs), but few focused on the difference of life loss attributable to temperature among different socioeconomic development levels.

objectivesWe investigated the disparity in temperature-YLL rate relationships and life loss per death attributable to nonoptimal temperature in regions with various development levels.

methodsThree hundred sixty-four Chinese counties or districts were classified into 92 high-development regions (HDRs) and 272 low-development regions (LDRs) according to socioeconomic factors of each location using K-means clustering approach. We used distributed lag non-linear models (DLNM) and multivariate meta-analysis to estimate the temperature-YLL rate relationships. We calculated attributable fraction (AF) of YLL and temperature-related average life loss per death to compare mortality burden of temperature between HDRs and LDRs. Stratified analyses were conducted by region, age, sex and cause of death.

resultsWe found that non-optimal temperatures increased YLL rates in both HDRs and LDRs, but all subgroups in LDRs were more vulnerable. The disparity of cold effects between HDRs and LDRs was significant, while the difference in heat effect was insignificant. The overall AF of non-optimal temperature in LDRs [AF = 12.2, 95% empirical confidence interval (eCI):11.0-13.5%] was higher than that in HDRs (AF = 8.9, 95% eCI: 8.3-9.5%). Subgroups analyses found that most groups in LDRs had greater AFs than that in HDRs. The average life loss per death due to non-optimal temperature in LDRs (1.91 years, 95% eCI: 1.72-2.10) was also higher than that in HDRs (1.32 years, 95% eCI: 1.23-1.41). Most of AFs and life loss per death were caused by moderate cold in both HDRs and LDRs.

conclusionsMortality burden caused by temperature was more significant in LDRs than that in HDRs, which means that more attention should be paid to vulnerable populations in LDRs in planning adaptive strategies.

Indexed as

Life ExpectancyChinaCold TemperatureGeographyHot TemperatureHumansLinear ModelsMultivariate AnalysisMortality burdenSocioeconomic development levelTemperatureYears of life lost

Identifiers

PMID32933549
PMCPMC7491140
OpenAlexW3086478930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.