Evidence map›Paper›PMID 32361971›Full record

SynthesisEnvironmental science and pollution research international2020

Association between moderately cold temperature and mortality in China.

Ying Zhang, Shigong Wang, Xiaoling Zhang, Qin Hu, CanJun Zheng

Open access · greenAbstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Health impacts of a cold wave and its economic loss assessment in China's high-altitude city, Xining.Archives of public health = Archives belges de sante publique · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. [Effects of Interaction between PM2.5 and OSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021
    Article
  7. Preconception ambient temperature and preterm birth: a time-series study in rural Henan, China.Environmental science and pollution research international · 2021
    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 at 2 institutions in 1 country.

Ying ZhangCollege of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610000, Sichuan, China. zhangy881208@126.com.
Shigong WangCollege of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610000, Sichuan, China.
Xiaoling ZhangCollege of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610000, Sichuan, China.
Qin HuCollege of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610000, Sichuan, China.
CanJun ZhengNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155, Changbai Road, Changping, Beijing, 102206, China.
Chengdu University of Information Technology · CNNational Institute for Communicable Disease Control and Prevention · CN

Funding

Sichuan Provincial Department of Education scientific research fund 2018Z114Special Project on Major Science and Technology of Sichuan Province 2018SZDZX0023the Chengdu University of Information Technology scientific research fund KYTZ201713the National key Research and Development Program of China 2016YFA0602004the National Natural Science Foundation of China 91644226
6 · The paper itself

Abstract

Ambient air temperature is a key factor affecting human health. Adverse effects of extreme weather on mortality have been well explored and expounded in numerous epidemiological studies. The relationship between moderate temperature and mortality is, however, underexplored. This study quantitatively investigated the temperature-dependent mortality burden in China. Data on daily average temperature and mortality in 15 Chinese cities during 2010-2016 were collected for this study. The association between temperature and city-specific mortality was investigated with a quasi-Poisson regression combined with a distributed lag nonlinear model across lag 0-21 days. The results were then included in a multivariate meta-analysis to derive the pooled estimates of the effect of temperature on mortality at the multi-city level. Mortality fractions attributable to cold and heat (i.e., at temperatures below and above the minimum mortality temperature (MMT)) were calculated. Additionally, temperature ranges were further divided into 1 °C intervals of ambient temperature, and the attributable fractions were calculated for each range. The MMT varied from the 71th to 93th percentiles of temperature in the 15 Chinese cities, centering at the 78th percentile at the multi-city level. In total, 12.65% of non-accidental mortality was attributable to non-optimum temperature, of which cold and hot temperatures corresponded to attributable fractions of 11.38% and 1.27%, respectively. The results of temperature stratifications suggested that moderately cold temperatures provided the highest contribution to mortality caused by temperature. Specifically, the highest attributable fractions were at 7 °C, 7 °C, 8 °C, 8 °C, 4 °C, 4 °C, 5 °C, 7 °C, 7 °C, 4 °C, 5 °C, 5 °C, 6 °C, 11 °C, and 12 °C, for Harbin, Changchun, Shenyang, Urumqi, Beijing, Tianjin, Shijiazhuang, Xining, Lanzhou, Nanjing, Shanghai, Hefei, Chengdu, Kunming, and Guangzhou, respectively. Cold temperature was responsible for a higher proportion of deaths than heat. Moderate cold temperature contributed to most of the total health burden. Finally, the cumulative total counts of deaths caused by moderate cold were the largest. Although moderate cold conferred a slightly lower relative risk than extreme cold, it was more common than extreme cold. Taken together, our results show that the effects of moderate cold temperature on health should receive more attention. Furthermore, our findings could help improve the prediction of climate change effects on human health and support the development of response strategies for the changing climate.

Indexed as

Cold TemperatureHot TemperatureMortalityBeijingChinaCitiesHumansRisk FactorsTemperatureAttributable fractionsChinaModerately cold temperatureNon-accidental mortalityPublic health

Identifiers

PMID32361971
OpenAlexW3022557627

What OpenQuestion holds

Textmetadata
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.