Evidence map›Paper›PMID 38302889›Full record

ArticleBMC public health2024

Short-term exposure to extreme temperature and outpatient visits for respiratory diseases among children in the northern city of China: a time-series study.

Ya Wu, Xiaobo Liu, Lijie Gao, Xiaohong Sun, Qianqi Hong, Qian Wang, Zhen Kang, Chao Yang, Sui Zhu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Ya Wu *Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
Xiaobo Liu *Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
Lijie GaoDepartment of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
Xiaohong SunDepartment of Physicochemical Laboratory, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
Qianqi HongDepartment of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
Qian WangDepartment of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
Zhen KangDepartment of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
Chao YangHarbin Center for Disease Control and Prevention, Harbin, 150056, China. yangchao0608@126.com.
Sui ZhuDepartment of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China. zhusui1213@jnu.edu.cn.
Jinan University · CNHarbin Engineering University · CNHeilongjiang Center for Tuberculosis Control and Prevention · CNShenzhen Center for Disease Control and Prevention · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province No. 2020A1515011161Guangdong Medical Scientific Research Foundation of China No. A2023135
6 · The paper itself

Abstract

backgroundAlthough studies have indicated that extreme temperature is strongly associated with respiratory diseases, there is a dearth of studies focused on children, especially in China. We aimed to explore the association between extreme temperature and children's outpatient visits for respiratory diseases and seasonal modification effects in Harbin, China.

methodsA distributed lag nonlinear model (DLNM) was used to explore the effect of extreme temperature on daily outpatient visits for respiratory diseases among children, as well as lag effects and seasonal modification effects.

resultsExtremely low temperatures were defined as the 1st percentile and 2.5th percentile of temperature. Extremely high temperatures were defined as the 97.5th percentile and 99th percentile of temperature. At extremely high temperatures, both 26 °C (97.5th) and 27 °C (99th) showed adverse effects at lag 0-6 days, with relative risks (RRs) of 1.34 [95% confidence interval (CI): 1.21-1.48] and 1.38 (95% CI: 1.24-1.53), respectively. However, at extremely low temperatures, both - 26 °C (1st) and - 23 °C (2.5th) showed protective effects on children's outpatient visits for respiratory diseases at lag 0-10 days, with RRs of 0.86 (95% CI: 0.76-0.97) and 0.85 (95% CI: 0.75-0.95), respectively. We also found seasonal modification effects, with the association being stronger in the warm season than in the cold season at extremely high temperatures.

conclusionsOur study indicated that extremely hot temperatures increase the risk of children's outpatient visits for respiratory diseases. Efforts to reduce the exposure of children to extremely high temperatures could potentially alleviate the burden of pediatric respiratory diseases, especially during the warm season.

Indexed as

Respiration DisordersRespiratory Tract DiseasesChildChinaCold TemperatureHot TemperatureHumansOutpatientsTemperatureChildrenDistributed lag nonlinear modelExtreme temperatureOutpatient visitsRespiratory diseases

Identifiers

PMID38302889
PMCPMC10832290
OpenAlexW4391449267

What OpenQuestion holds

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LicenceCC BY
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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.