Evidence map›Paper›PMID 41816433›Full record

ArticleJournal of thoracic disease2026

Association between ambient temperature and respiratory health.

Bo Young Lee, Eun Chong Yoon, Hee-Young Yoon

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Bo Young Lee *Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7399-3822
Eun Chong Yoon *Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0006-0877-7457
Hee-Young YoonDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-9852-0036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change has increased temperature variability, impacting respiratory health. While the data related to its short-term effects on lung function is conflicting, its long-term effects remain even more uncertain. Therefore, this study aimed to evaluate the short-, mid-, and long-term effects of ambient temperature on lung function and respiratory symptoms in a nationally representative population. Methods: We conducted a cross-sectional analysis of 10,819 participants from the Korean National Health and Nutrition Examination Survey (KNHANES) [2016-2018]. Individualised temperature exposures were estimated using high-resolution atmospheric models. Generalised additive model (GAM) and distributed lag non-linear model (DLNM) were used to assess the short-term (lag days 0-14), mid-term [moving average (MA): 30-180 days], and long-term (MA: 1-5 years) effects on lung function. Results: Short-term exposure to high temperature (29.7 ℃) was associated with decreased forced expiratory volume in 1 second (FEV Conclusions: Short- and long-term heat exposure were associated with impaired lung function, with more pronounced effects observed at higher temperatures.

Indexed as

Climate changeenvironmental exposurelung compliancerespiratory function testsrespiratory tract diseases

Identifiers

PMID41816433
PMCPMC12972815

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.