Evidence map›Paper›PMID 29238930›Full record

ArticleEnvironmental science and pollution research international2018

Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan: evidence from a northwestern city of China.

Huiling Zhang, Qingan Wang, Yajuan Zhang, Yi Yang, Yi Zhao, Jianren Sang, Yulong Zhang, Yine Zhang, Fan Xie, Shanshan Li and 2 more

Abstract read
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Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

12 authors.

Huiling ZhangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Qingan WangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Yajuan ZhangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Yi YangNingxia Center for Disease Prevention and Control, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Yi ZhaoSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Jianren SangNingxia Meteorological Disaster Prevention Technology Center, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Yulong ZhangNingxia Environmental Monitoring Center, Yinchuan, 750011, Ningxia Hui Autonomous Region, People's Republic of China.
Yine ZhangNingxia Center for Disease Prevention and Control, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Fan XieNingxia Center for Disease Prevention and Control, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Shanshan LiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia.
Yuhong ZhangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China. zhabour@163.com.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia. yuming.guo@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No evidence is available on whether cardiovascular mortality is affected by the ambient temperatures in Yinchuan, which is located in the northwestern region of China, with a typical continental semi-humid semi-arid climate. Daily data on cardiovascular mortality and meteorological factors was collected from Yinchuan city for the period of 2010-2015. A distributed lag non-linear model with quasi-Poisson link was used to assess the association between daily temperatures and cardiovascular deaths, after controlling for seasonality, day of the week, atmospheric pressure, humidity, sunshine duration, and wind speed. The relationship between ambient temperature and cardiovascular mortality was non-linear, with a U-shaped exposure-response curve. For all cardiovascular mortality, the effects of high temperatures appeared at lag 2-5 days, with the largest hot effect at lag 3 day (RR 1.082, 95% CI 1.021-1.146), while the effects of cold temperatures were insignificant. Both cold and high temperatures have more serious influence on the elderly (age ≥ 65) and males than the youth and females, respectively. The study has shown that both cold and high temperatures affect cardiovascular mortality. The findings may be helpful to identify the susceptible subgroups of cardiovascular mortality induced by temperatures, and to provide useful information for establishing public health programs that would better protect local population health from ambient temperatures.

Indexed as

ClimateTemperatureAgedAtmospheric PressureCardiovascular DiseasesChinaCitiesCold TemperatureFemaleHot TemperatureHumansHumidityMaleMiddle AgedModels, CardiovascularPublic HealthAmbient temperaturesCardiovascular mortalityDistributed lag non-linear modelNorthwestern ChinaTime-series

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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.