Evidence map›Paper›PMID 42196758›Full record

ArticleInternational journal of environmental research and public health2026

Socioeconomic, Behavioural, and Environmental Determinants of Asthma Inequalities in Europe: A Cross-Sectional Study Using EHIS Data.

Anastase Tchicaya, Nathalie Lorentz, Laureen Vanni

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Anastase TchicayaLuxembourg Institute of Socio-Economic Research-LISER, 4366 Esch-sur-Alzette, Luxembourg.
Nathalie LorentzLuxembourg Institute of Socio-Economic Research-LISER, 4366 Esch-sur-Alzette, Luxembourg.
Laureen VanniLuxembourg Institute of Socio-Economic Research-LISER, 4366 Esch-sur-Alzette, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a chronic respiratory disease with uneven prevalence across population groups. This study investigated the associations between socioeconomic status, health behaviours, and environmental exposures and asthma prevalence across European countries. We conducted a cross-sectional analysis using data from the European Health Interview Survey (EHIS) covering wave III (2019). The sample included 223,453 adults aged 20 or older from 26 European countries. Asthma prevalence was self-reported. Socioeconomic variables included education and employment status, while behavioural factors included smoking and overweight status. Environmental exposures encompassed urbanisation and air pollution. Multilevel logistic regression models examined associations between asthma prevalence and its socioeconomic, behavioural, and environmental factors. Asthma prevalence was higher among individuals with lower educational attainment (OR = 1.30; 95% CI: 1.20-1.40), those who were unable to work due to long-standing health problems (OR = 2.27; 95% CI: 2.04-2.52), and retired individuals (1.44; 95% CI: 1.31-1.57). Individuals with pre-obesity and obesity had increased odds of asthma (OR = 1.13; 95%CI: 1.07-1.19, and OR = 1.76; 95%CI: 1.66-1.86, respectively). Urbanisation (OR = 1.13; 95%CI: 1.07-1.19) and exposure to air pollution (CO

Indexed as

AsthmaEnvironmental ExposureHealth BehaviorAdultAgedCross-Sectional StudiesEuropeFemaleHumansMaleMiddle AgedPrevalenceSocioeconomic Disparities in HealthSocioeconomic FactorsYoung Adultair pollutionasthmaasthma prevalenceenvironmental healthEuropemultilevel modelspublic health policysocioeconomic determinantsspatial heterogeneity

Identifiers

PMID42196758
PMCPMC13207884

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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.