Evidence map›Paper›PMID 41236770›Full record

ArticleEuropean journal of public health2026

Tattoos in the general Swedish population: prevalence, determinants, and exposure characteristics.

Christel Nielsen, Anna S Jöud

Abstract read
In one paragraph

Article in European journal of 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.

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

2 authors.

Christel NielsenDepartment of Laboratory Medicine, Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.ORCID 0000-0003-3940-7847
Anna S JöudDepartment of Laboratory Medicine, Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.ORCID 0000-0001-7192-4911

Funding

Crafoord Foundation 20180659 to C.N.Magnus Bergvall Foundation 201802669 to C.N.Swedish Research Council for Health, Working Life, and Welfare 2018-00864 to C.N.
6 · The paper itself

Abstract

Tattoo ink on the European market has been reported to contain many human toxicants, which has raised concerns about health effects. Clarifying the exposure distribution in the population is key to understanding potential public health implications. We investigated the prevalence of tattoos in a population-based Swedish cohort of 13 046 individuals aged 20-68 years with exposure data collected through a questionnaire in 2021. In addition, we characterized the tattooed population in terms of sociodemographic and socioeconomic determinants and exposure characteristics using multivariable logistic regression, regressing tattoo status on sex, age, educational attainment, marital status, smoking, snuff use, and alcohol consumption. The age-standardized tattoo prevalence was estimated at 29% (95% confidence interval [CI] 27%-30%). Tattoos were more common in the younger age groups, particularly among females. Males were younger when they received their first tattoo and tended to have a larger tattooed body surface. Tattoo exposure was associated with unfavourable socioeconomic characteristics, with the highest odds ratio observed for current smokers compared with never-smokers (2.86; 95% CI 2.42-3.38). Our results suggest that any tattoo-related adverse effects may exacerbate existing inequalities in health. Additionally, the high prevalence in younger age groups indicates a likely shift in the characteristics of the tattooed population over time, which may have further implications for public health.

Indexed as

TattooingAdultAgedAge FactorsFemaleHumansMaleMiddle AgedPrevalenceSociodemographic FactorsSocioeconomic FactorsSurveys and QuestionnairesSwedenYoung Adult

Identifiers

PMID41236770
PMCPMC13230494

What OpenQuestion holds

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Registered trials

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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.