The prevalence and risk factors of respiratory symptoms in Finland: a comparative analysis

We gathered updated information on the prevalence of respiratory symptoms in Finland. Age, higher BMI, smoking, low household income, and allergy were significant risk factors for most respiratory symptoms.<b>ClinicalTrials.Gov identifier:</b> NCT03639727.

Authors

Institutions

Publication Details

Journal
European Clinical Respiratory Journal
Published
2025-09-25
DOI
https://doi.org/10.1080/20018525.2025.2563395
Citations
1
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The prevalence and risk factors of respiratory symptoms in Finland: a comparative analysis

Heikki Koskela, Minna Purokivi, Johanna Kaulamo, Anne M. Lätti et al.
1 citations
European Clinical Respiratory Journal
Asthma and respiratory diseases
1.16
article

The prevalence and risk factors of respiratory symptoms in Finland: a comparative analysis

Heikki Koskela, Minna Purokivi, Johanna Kaulamo, Anne M. Lätti, Heikki V. T. Pautola
article en
1 citations

Abstract

We gathered updated information on the prevalence of respiratory symptoms in Finland. Age, higher BMI, smoking, low household income, and allergy were significant risk factors for most respiratory symptoms.<b>ClinicalTrials.Gov identifier:</b> NCT03639727.

European Clinical Respiratory JournalVol. 12(1)
University of Eastern Finland (FI), Kuopio University Hospital (FI), Finland University (FI)
Openalex Percentile: Top 18%
Asthma and respiratory diseases
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.