Evidence map›Paper›PMID 34633619›Full record

ArticleEnvironmental science and pollution research international2022

Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China.

Ling-Shuang Lv, Chun-Liang Zhou, Dong-Hui Jin, Wen-Jun Ma, Tao Liu, Yi-Jun Xie, Yi-Qing Xu, Xing-E Zhang

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. The impact of heat and cold events on direct, indirect, and intangible healthcare costs: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    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

8 authors at 2 institutions in 1 country.

Ling-Shuang Lv *Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China.
Chun-Liang Zhou *Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China. hncdc_zcl@163.com.ORCID http://orcid.org/0000-0003-4710-4950
Dong-Hui JinHunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China.
Wen-Jun MaGuangdong Provincial Institute of Public Health, Guangdong 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, Guangzhou, 511430, China.
Yi-Jun XieHunan Provincial Climate Center, Changsha, 410007, China.
Yi-Qing XuHunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China.
Xing-E ZhangHunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China.
Hunan Provincial Center for Disease Control and Prevention · CNGuangdong Provincial Center for Disease Control and Prevention · CN

Funding

natural science foundation of hunan province 2020JJ4388
6 · The paper itself

Abstract

backgroundIn the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death.

methodsWe collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated.

resultsThere were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively.

conclusionsWe found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention.

Indexed as

Cardiovascular DiseasesTemperatureAgedChinaCold TemperatureFemaleHot TemperatureHumansMaleAmbient temperatureCardiovascular diseasesDistributed lag nonlinear modelExtreme temperatureMortalityYear of life lost

Identifiers

PMID34633619
PMCPMC8827384
OpenAlexW3205876726

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.