Evidence map›Paper›PMID 30772855›Full record

ArticleBMJ open2019

Burden of non-accidental mortality attributable to ambient temperatures: a time series study in a high plateau area of southwest China.

Changyu Deng, Zan Ding, Liujiu Li, Yanfang Wang, Pi Guo, Shaoyi Yang, Ju Liu, Yue Wang, Qingying Zhang

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  8. Article
  9. The Association Pattern between Ambient Temperature Change and Leukocyte Counts.International journal of environmental research and public health · 2021
    Observational
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

9 authors.

Changyu DengDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Zan DingThe Institute of Metabolic Diseases, Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, China.
Liujiu LiYuxi Center for Disease Control and Prevention, Yuxi, China.
Yanfang WangYuxi Center for Disease Control and Prevention, Yuxi, China.
Pi GuoDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Shaoyi YangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Ju LiuDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Yue WangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Qingying ZhangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the total non-accidental mortality burden attributable to ambient temperatures and assess the effect modification of the burden by specific causes of death and individual characteristics in a high plateau area in southwest China.

methodsUsing daily mortality and meteorological data from 2009 to 2016, we applied a quasi-Poisson model combined with a distributed lag non-linear model to estimate the temperature-mortality association with the assessment of attributable fraction and number. We calculated attributable fractions and deaths with 95% empirical CIs (eCIs), that were due to cold and heat, defined as temperatures below and above the median temperature, and for mild and extreme temperatures, defined by cut-offs at the 2.5th and 97.5th temperature percentiles.

resultsWe analysed 89 467 non-accidental deaths; 4131 were attributable to overall temperatures, with an attributable fraction of 4.75% (95% eCI 2.33% to 6.79%). Most of the mortality burden was caused by cold (4.08%; 0.86% to 7.12%), whereas the burden due to heat was low and non-significant (0.67%; -2.44% to 3.64%). Extreme cold (1.17%; 0.58% to 1.69%) was responsible for 24.6% (ie, 1.17% divided by 4.75%) of the total death burden. In the stratification analyses, attributable risk due to cold was higher for cardiovascular than respiratory disease (6.18% vs 3.50%). We found a trend of risk of increased death due to ambient temperatures with increasing age, with attributable fractions of 1.83%, 2.27% and 6.87% for age ≤64, 65-74 and ≥75 years old, respectively. The cold-related burden was slightly greater for females, farmers, ethnic minorities and non-married individuals than their corresponding categories.

conclusionsMost of the burden of death was attributable to cold, and specific causes and individual characteristics might modify the mortality burden attributable to ambient temperatures. The results may help make preventive measures to confront climate change for susceptible population in this region.

Indexed as

MortalityAdolescentAdultAgedAged, 80 and overAge DistributionCardiovascular DiseasesChildChild, PreschoolChinaCold TemperatureFemaleHot TemperatureHumansInfantInfant, Newbornambient temperaturesattributable fractionattributable numbereffect modificationmortality

Identifiers

PMID30772855
PMCPMC6398624

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LicenceCC BY-NC
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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.