Evidence map›Paper›PMID 29471745›Full record

ArticleGlobal health action2018

Effects of high ambient temperature on ambulance dispatches in different age groups in Fukuoka, Japan.

Kazuya Kotani, Kayo Ueda, Xerxes Seposo, Shusuke Yasukochi, Hiroko Matsumoto, Masaji Ono, Akiko Honda, Hirohisa Takano

Abstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

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

14 citing papers in PubMed, 3 syntheses or guidelines 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

8 authors.

Kazuya Kotania Department of Environmental Engineering , Kyoto University , Kyoto , Japan.ORCID 0000-0002-8488-6819
Kayo Uedaa Department of Environmental Engineering , Kyoto University , Kyoto , Japan.
Xerxes Seposoa Department of Environmental Engineering , Kyoto University , Kyoto , Japan.ORCID 0000-0003-0339-8213
Shusuke Yasukochia Department of Environmental Engineering , Kyoto University , Kyoto , Japan.
Hiroko Matsumotob Environmental Science Section , Fukuoka City Institute of Health and Environment , Fukuoka , Japan.
Masaji Onoc Center for Health and Environmental Risk Research , National Institute for Environmental Studies , Tsukuba , Japan.
Akiko Hondaa Department of Environmental Engineering , Kyoto University , Kyoto , Japan.
Hirohisa Takanoa Department of Environmental Engineering , Kyoto University , Kyoto , Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe elderly population has been the primary target of intervention to prevent heat-related illnesses. According to the literature, the highest risks have been observed among the elderly in the temperature-mortality relationship. However, findings regarding the temperature-morbidity relationship are inconsistent.

objectivesThis study aimed to examine the association of temperature with ambulance dispatches due to acute illnesses, stratified by age group. Specifically, we explored the optimum temperature, at which the relative health risks were found to be the lowest, and quantified the health risk associated with higher temperatures among different age groups.

methodsWe used the data for ambulance dispatches in Fukuoka, Japan, during May and September from 2005 to 2012. The data were grouped according to age in 20-year increments. We explored the pattern of the association of ambulance dispatches with temperature using a smoothing spline curve to identify the optimum temperature for each age group. Then, we applied a distributed lag nonlinear model to estimate the risks of the 85th-95th percentile temperature relative to the overall optimum temperature, for each age group.

resultsThe relative risk of ambulance dispatches at the 85th and 95th percentile temperature for all ages was 1.08 [95% confidence interval (CI): 1.05, 1.12] and 1.12 (95% CI: 1.08, 1.16), respectively. In comparison, among age groups, the optimum temperature was observed as 25.0°C, 23.2°C, and 25.3°C for those aged 0-19, 60-79, and ≥80, respectively. The optimum temperature could not be determined for those aged 20-39 and 40-59. The relative risks of high temperature tended to be higher for those aged 20-39 and 40-59 than those for other age groups.

conclusionsWe did not find any definite difference in the effect of high temperature on ambulance dispatches for different age groups. However, more measures should be taken for younger and middle-aged people to avoid heat-related illnesses.

Indexed as

Hot TemperatureAdolescentAdultAgedAged, 80 and overAge DistributionAmbulancesChildChild, PreschoolHumansInfantInfant, NewbornJapanMaleMiddle AgedNonlinear Dynamicsacute illnessage categoryambulance dispatchdistributed lag nonlinear modeltemperature

Identifiers

PMID29471745
PMCPMC5827789

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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.