Evidence map›Paper›PMID 42089107›Full record

ArticleInternational journal of public health2026

Sociodemographic Differences in Smoking Behaviours by Migration Background: Insights From the National Swiss Health Survey.

Kris Schürch, Tayisiya Krasnova, Lyra Egan, Tara Gückel, Lily Davidson, Lars Lenze, Annika Frahsa

Abstract read
In one paragraph

Article in International journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Kris SchürchGraduate School for Health Sciences, University of Bern, Bern, Switzerland.
Tayisiya KrasnovaGraduate School for Health Sciences, University of Bern, Bern, Switzerland.
Lyra EganThe University of Sydney The Matilda Centre for Research in Mental Health and Substance Use, Camperdown, NSW, Australia.
Tara GückelThe University of Sydney The Matilda Centre for Research in Mental Health and Substance Use, Camperdown, NSW, Australia.
Lily DavidsonThe University of Sydney The Matilda Centre for Research in Mental Health and Substance Use, Camperdown, NSW, Australia.
Lars LenzeInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Annika FrahsaInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to examine how migration background is associated with current smoking and whether this relationship varies by sex, age, and education. Methods: We analysed data from 19,441 participants of the 2022 Swiss Health Survey, an official, national cross-sectional dataset. Current smoking (yes/no) was the outcome, and migration background (none, 1st generation, 2nd or higher generation) the primary exposure. Multivariable logistic regression models adjusted for sociodemographic and behavioural covariates, were followed by stratified analyses by sex, age, and education. Results: Compared to people without a migration background, the odds of current smoking were elevated among those with a 1st-generation background (OR = 1.42, 95% CI: 1.28-1.49) and 2nd or higher generation (OR = 1.75, 95% CI: 1.48-2.06). Stratified analyses showed that the higher odds of current smoking among people with a migration background were particularly pronounced among younger adults (15-24, 25-34 years), and among people with lower educational attainment. Conclusion: Migration background contributes to smoking inequalities in Switzerland and intersects with other social factors, such as age and education. Elevated risks among people with 2nd or higher-generation migration backgrounds in younger age groups and those with lower educational attainment demonstrate the need for culturally adapted, equity-oriented prevention strategies and stronger national tobacco control policies.

Indexed as

SmokingAdolescentAdultAgedAge FactorsCross-Sectional StudiesEducational StatusFemaleHealth SurveysHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsSwitzerlandmigration and healthsmoking behavioursocial inequitiesSwitzerlandtobacco control

Identifiers

PMID42089107
PMCPMC13136040

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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.