Evidence map›Paper›PMID 39612030›Full record

ArticleLung2024

The Associations of Long-Term Temperature and Precipitation with Chronic Respiratory Symptoms: Projections for the Changing Climate.

Heikki O Koskela, Johanna T Kaulamo, Anne M Lätti

Abstract read
In one paragraph

Article in Lung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Heikki O KoskelaSchool of Medicine, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland. heikki.koskela@uef.fi.ORCID 0000-0002-3386-3262
Johanna T KaulamoSchool of Medicine, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.ORCID 0000-0003-0728-9903
Anne M LättiUnit for Medicine and Clinical Research, Pulmonary Division, Kuopio University Hospital, PL 100, 70029, Kuopio, KYS, Finland.ORCID 0000-0001-7747-6021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo clarify the associations of climatic indices with chronic respiratory symptoms, with a final aim to approximate the effects of climate change on them.

methodsAn e-mail survey was directed to the members of the Finnish Pensioners` Federation. The mean 20-years' precipitation and temperature in each subjects' home municipality were obtained from the Finnish Meteorological Institute, separately for summer and winter. Adjusted multivariate models were utilized to investigate the associations of the climatic indices with chronic rhinosinusitis, chronic cough, wheezing with dyspnea, and sleep apnea.

resultsThere were 6189 responders from 283 municipalities. Chronic rhinosinusitis and chronic cough were most prevalent in the southeastern regions of the country, where the precipitation counts were highest. In the multivariate models, winter precipitation in the home municipality increased the risks of chronic rhinosinusitis and chronic cough [adjusted OR 1.80 (1.30-2.51) per 100 mm, p < 0.001, and 1.57 (1.19-2.07) per 100 mm, p = 0.001, respectively]. Wheezing with dyspnea and sleep apnea were not associated with the climatic indices.

conclusionChronic rhinosinusitis and chronic cough were associated with long-term winter precipitation. Given the anticipated increase in winter precipitation in Northern America and Northern Europe, the prevalences of chronic rhinosinusitis and chronic cough may increase there.

Indexed as

Climate ChangeCoughDyspneaRainRhinitisSeasonsSinusitisTemperatureAdultAgedChronic DiseaseFemaleFinlandHumansMaleMiddle AgedAsthmaChronic coughChronic rhinosinusitisClimateClimate changeCoughRhinitisSleep apneaWheezing

Identifiers

PMID39612030
PMCPMC11607035

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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.