Evidence map›Paper›PMID 42311119›Full record

ArticleInternational journal of circumpolar health2026

Asthma among Sámi in Sweden: a population-based register study.

Miguel San Sebastian, Emil Xabier San Sebastián, Jon Petter Stoor

Abstract read
In one paragraph

Article in International journal of circumpolar 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.

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

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.

Miguel San SebastianDepartment of Epidemiology and Global Health, Lávvuo-Research and Education for Sámi Health, Umeå University, Umeå, Sweden.ORCID 0000-0001-7234-3510
Emil Xabier San SebastiánDepartment of Epidemiology and Global Health, Lávvuo-Research and Education for Sámi Health, Umeå University, Umeå, Sweden.ORCID 0009-0009-3075-3429
Jon Petter StoorDepartment of Epidemiology and Global Health, Lávvuo-Research and Education for Sámi Health, Umeå University, Umeå, Sweden.ORCID 0000-0002-1580-8307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A population-based study has reported a higher prevalence of self-reported asthma among the Sámi compared with the general Swedish population. However, it remains unclear whether this reflects a true difference or reporting bias. This study aimed to estimate asthma incidence among the Sámi and compare it with that of the non-Sámi population using register-based data from 1993 to 2018. We conducted a retrospective cohort study using the Sámi electoral roll and the reindeer ownership register to identify Sámi individuals. Each Sámi participant was matched with four non-Sámi controls by age, sex and municipality. Asthma cases were identified through the National Patient Register, covering inpatient and specialist outpatient care. Incidence rate ratios (IRRs) were estimated using sex-stratified Poisson regression models. The study included 13,311 Sámi individuals and 53,219 controls. Sámi men (IRR = 1.19, 95% CI = 1.00-1.41) and women (IRR = 1.23, 95% CI = 1.04-1.45) had higher rates of specialist asthma diagnoses than controls. Sámi men, but not women, also had a higher risk of asthma-related hospitalisation (IRR = 1.43, 95% CI = 1.07-1.90). These findings suggest a higher asthma burden among the Sámi. Further research is needed to clarify underlying risk factors and inform targeted public health interventions.

Indexed as

AsthmaAdolescentAdultAgedArctic RegionsChildChild, PreschoolFemaleHumansIncidenceMaleMiddle AgedRegistriesRetrospective StudiesScandinavians and Nordic PeopleSwedenAsthmaincidenceregisterSámiSweden

Identifiers

PMID42311119
PMCPMC13288535

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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.