Evidence map›Paper›PMID 30962744›Full record

ArticleYonago acta medica2019

Impact of Maximum Air Temperature on Ambulance Transports Owing to Heat Stroke During Spring and Summer in Tottori Prefecture, Japan: A Time-stratified Case-crossover Analysis.

Yusuke Fujitani, Shinji Otani, Abir Majbauddin, Hiroki Amano, Toshio Masumoto, Youichi Kurozawa

Abstract read
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Article in Yonago acta medica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

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

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4 · The record

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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

6 authors.

Yusuke FujitaniDivision of Health Administration and Promotion, Department of Social Medicine, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Shinji Otani†International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan.
Abir Majbauddin†International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan.
Hiroki AmanoDivision of Health Administration and Promotion, Department of Social Medicine, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Toshio MasumotoDivision of Health Administration and Promotion, Department of Social Medicine, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Youichi KurozawaDivision of Health Administration and Promotion, Department of Social Medicine, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe frequency and intensity of hot weather have increased. In Japan, there have been many studies of the relationship between ambulance transports owing to heat stroke (ATHS) and high air temperature in the summer season. However, there have been very few reports focusing on ATHS in spring. Therefore, we investigated the effect of the maximum air temperature on ATHS not only in summer but also in spring, to help with development of effective measures to prevent heat stroke.

methodsWe obtained daily ATHS and meteorological data from April to September in 2017 in Tottori Prefecture. We used a time-stratified case-crossover method for data analysis.

resultsA total 382 cases of ATHS were identified from April to September in 2017 in Tottori. The number of cases was highest in July, followed by August and May. Maximum air temperature was significantly linked to ATHS. The risk of ATHS was increased 1.13 times when maximum air temperature rose by 1°C. In summer, the risk on extremely hot days (maximum air temperature ≥ 35°C) increased by 5.55 times or more compared with that on days below 30 °C (< 30°C). The risk was approximately four times greater on hot days (≥ 30°C and < 35°C) than that on relatively cooler days (< 30°C) during the spring months of April through May.

conclusionMaximum air temperature was significantly linked to ATHS. It is necessary to pay particular attention to heat stroke prevention not only on extremely hot days in summer but also on hot days in the spring.

Indexed as

ambulance transportcase-crossover studyheat strokemaximum air temperature

Identifiers

PMID30962744
PMCPMC6437408

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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.