Evidence map›Paper›PMID 32817894›Full record

ArticleHeliyon2020

Assessing the effects of meteorological factors on daily children's respiratory disease hospitalizations: A retrospective study.

Guo Wenfang, Letai Yi, Peng Wang, Baojun Wang, Minhui Li

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. 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
0.4field-weighted citation impact, top 39% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Guo WenfangInner Mongolia Autonomous Region Academy of Traditional Medicine, Hohhot 010020, China.
Letai YiInner Mongolia Autonomous Region Academy of Traditional Medicine, Hohhot 010020, China.
Peng WangThe First Affiliated Hospital of Baotou Medical College, Baotou 014000, China.
Baojun WangInner Mongolia Baotou City Central Hospital, Baotou 014040, China.
Minhui LiInner Mongolia Autonomous Region Academy of Traditional Medicine, Hohhot 010020, China.
Baotou Medical College · CNInner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine · CNBaotou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory disease symptoms in children are aggravated by frequent changes in meteorological conditions. The net effective temperature (NET) integrates temperature, relative humidity, and wind speed as a cooling indicator. This study aims to assess the effect of daily changes in meteorological factors and corresponding NET data on children's hospitalizations for different ages, genders and subtypes of respiratory infections in Baotou, China. Distributed lag non-linear models were constructed to simultaneously assess the exposure-response associations between daily admission counts of children with respiratory diseases and daily NET and other meteorological factors, as well as their lag dependencies. As air pollution significantly affects the respiratory tract, it was considered as confounding factor. In general, the cumulative meteorological factors had greater effects on lower respiratory tract infections than upper respiratory tract infections (RR: temperature [5.21 vs. 2.33], wind speed [4.89 vs. 3.12], and humidity [1.77 vs. 0.97]). The effects of cumulative meteorological factors on female children were greater than those on male children (RR: temperature [2.14 vs. 1.82], wind speed [5.46 vs. 1.90], and humidity [1.60 vs. 1.55]). Temperature and wind speed showed an influence on 4-7-year-old children, but these factors had no influence on other age groups; humidity only showed an influence on the 0-3-year-old group. The NET value had a large effect on lower respiratory infections, in the 4-7-year-old group and female children. In conclusion, a complex non-linear relationship exists between climate variability and children's respiratory diseases. The results of the study can be used to support the development of important meteorological information tools for early warnings of respiratory disease events in children. Concurrently, the NET values can be used for comprehensive assessments of climate change in the future, which will help the government and health authorities better minimize the impacts of children's respiratory diseases.

Indexed as

Environmental analysisEnvironmental healthEnvironmental impact assessmentEnvironmental scienceEpidemiologyHumidityNet effective temperatureRespiratory diseaseRespiratory systemTemperatureWind speed

Identifiers

PMID32817894
PMCPMC7424195
OpenAlexW3048796010

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.