Evidence map›Paper›PMID 38936500›Full record

ArticleEnvironmental research2024

Effects of ambient temperature on pediatric incident seizure: A case-crossover analysis using distributed lag non-linear models.

Shiyu Zhang, Tianqi Wang, Zhenchun Yang, Peng-Chou Tsai, Christine Ladd Acosta, Junfeng Jim Zhang, Yi Wang

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PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

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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

7 authors.

Shiyu ZhangDuke Global Health Institute & Nicholas School of the Environment, Duke University, Durham, NC, USA.
Tianqi WangDepartment of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Zhenchun YangDuke Global Health Institute & Nicholas School of the Environment, Duke University, Durham, NC, USA.
Peng-Chou TsaiDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Christine Ladd AcostaDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Junfeng Jim ZhangDuke Global Health Institute & Nicholas School of the Environment, Duke University, Durham, NC, USA. Electronic address: junfeng.zhang@duke.edu.
Yi WangDepartment of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China. Electronic address: yiwang@shmu.edu.cn.

Funding

Trimester-Specific Variation in Air Quality and Risk for Autism Spectrum Disorder: A Natural ExperimentR01ES030414 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI LADD-ACOSTA, CHRISTINE, ZHANG, JUNFENG · 2019 to 2022
$1.8M
NIEHS NIH HHS R01 ES030414
6 · The paper itself

Abstract

objectiveEmerging evidence supports that brain dysfunction may be attributable to environmental factors. This study aims to examine associations of ambient temperature and temperature variability (TV) with seizure incidence in children, which has not been explored. MATERIAL AND

methodsData on 2718 outpatient visits due to seizure were collected in Shanghai, China, from 2018 to 2023. Exposure to ambient temperature was estimated at children's residential addresses using spatial-temporal models. A time-stratified case-crossover design with a distributed lag non-linear model (DLNM) was conducted to assess the association between seizure incidence and daily average of ambient temperature over a period of 21 days prior to a case date of disease onset. For a given case date, we selected all dates falling on the same day of the week within the same month as control dates. We calculated a composite index of intra-day and inter-day TV, which was the standard deviation of the daily minimum and maximum temperatures, respectively, over 7 days preceding a case date. We then assessed the association between TV and seizure incidence. Stratified analyses were conducted by age (73.51% < 5 years old and 26.49 % ≥ 5 years old), sex (41.83% female), presence of fever (69.72%), and diagnosis of epilepsy (27.63%).

resultsWe observed inversed J-shaped temperature-response curves. Lower temperatures had a significant and prolonged effect than higher temperatures. Using 20 °C (with the minimum effect) as the reference, the cumulative odds ratios (ORs) for over 0-21 days preceding the onset at the 5th percentile of the temperature (3 °C) and at the 95th percentile (29 °C) were 3.17 (95% CI: 1.77, 5.68) and 1.54 (95% CI: 0.97, 2.44), respectively. In addition, per 1 °C increases in TV

conclusionBoth low and high temperatures can contribute to the morbidity related to pediatric seizure. Lower temperatures, however, exerted a longer period of effect prior to seizure onset than higher temperatures. An increased risk for incident seizure was significantly associated with temperature variability during preceding 7 days.

Indexed as

Cross-Over StudiesSeizuresTemperatureChildChild, PreschoolChinaEnvironmental ExposureFemaleHumansIncidenceInfantMaleNonlinear DynamicsCase-crossover studySeizure onsetTemperatureTemperature variability

Identifiers

PMID38936500
PMCPMC11323164

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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.