Evidence map›Paper›PMID 39251927›Full record

ArticleBMC public health2024

The correlation between daily temperature, diurnal temperature range, and asthma hospital admissions in Lanzhou city, 2013-2020.

Jingze Yu, Anning Zhu, Miaoxin Liu, Jiyuan Dong, Tian Tian, Tong Liu, Ke Zhang, Xiaowen Zhang, Ye Ruan

Abstract 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

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

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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.

Jingze Yu *School of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Anning Zhu *School of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Miaoxin LiuSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Jiyuan DongSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Tian TianSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Tong LiuSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Ke ZhangSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Xiaowen ZhangSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
Ye RuanSchool of Public Health, Lanzhou University, Lanzhou, 730000, PR China. ruany@lzu.edu.cn.

Funding

Gansu Provincial Science and Technology Program Project (Key R&D Program) 20YF3FA027
6 · The paper itself

Abstract

backgroundWith the backdrop of global climate change, the impact of climate change on respiratory diseases like asthma is receiving increasing attention. However, the effects of temperature and diurnal temperature range (DTR) on asthma are complex, and understanding these effects across different seasons, age groups, and sex is of utmost importance.

methodsThis study utilized asthma hospitalization data from Lanzhou, China, and implemented a distributed lag nonlinear model (DLNM) to investigate the relationship between temperature and DTR and asthma hospitalizations. It considered differences in the effects across various seasons and population subgroups.

resultsThe study revealed that low temperatures immediately increase the risk of asthma hospitalization (RR = 1.2010, 95% CI: 1.1464, 1.2580), and this risk persists for a period of time. Meanwhile, both high and low DTR were associated with an increased risk of asthma hospitalization. Lower temperatures (RR = 2.9798, 95% CI: 1.1154, 7.9606) were associated with higher asthma risk in the warm season, while in the cold season, the risk significantly rose for the general population (RR = 3.6867, 95% CI: 1.7494, 7.7696), females (RR = 7.2417, 95% CI: 2.7171, 19.3003), and older individuals (RR = 18.5425, 95% CI: 5.1436, 66.8458). In the warm season, low DTR conditions exhibited a significant association with asthma hospitalization risk in males (RR = 7.2547, 95% CI: 1.2612, 41.7295) and adults aged 15-64 (RR = 9.9494, 95% CI: 2.2723, 43.5643). Children also exhibited noticeable risk within specific DTR ranges. In the cold season, lower DTR increases the risk of asthma hospitalization for the general population (RR = 3.1257, 95% CI: 1.4004, 6.9767). High DTR significantly increases the risk of asthma hospitalization in adults (RR = 5.2563, 95% CI: 2.4131, 11.4498).

conclusionThis study provides crucial insights into the complex relationship between temperature, DTR, and asthma hospitalization, highlighting the variations in asthma risk across different seasons and population subgroups.

Indexed as

AsthmaHospitalizationSeasonsTemperatureAdolescentAdultAgedChildChild, PreschoolChinaClimate ChangeFemaleHumansInfantInfant, NewbornMaleAsthmaDiurnal temperature rangeDLNMTemperature

Identifiers

PMID39251927
PMCPMC11386359

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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.