Swiss Health Survey 2022 Data on Smoking and Migration Background

19,441 participants from the 2022 Swiss Health Survey were analyzed to examine associations between migration background and current smoking. The dataset, authored by Kris Schürch and last updated in April 2026, contains results from multivariable logistic regression and stratified analyses by sex, age, and education. It is shared under a CC-BY-4.0 license.

Use Cases

• Modeling smoking risk based on migration generation and sociodemographic factors mentioned in the description
• Analyzing health disparities based on the intersection of migration background, age, and education level
• Evaluating the need for targeted tobacco control policies based on population subgroup risk estimates

Strengths

• Based on a national cross-sectional survey with 19,441 participants
• Includes specific statistical results, such as odds ratios (OR = 1.42, 1.75) and confidence intervals
• Released under a permissive CC-BY-4.0 license for reuse

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 1.2 MB file size suggests the dataset may contain summary results rather than the full underlying microdata

Provenance

Source

2022 Swiss Health Survey, an official national dataset

Collection Method

Cross-sectional survey analysis using multivariable logistic regression

Time Range

2022

Freshness

Last updated 2026-04-20 05:01:12

Geography

Switzerland