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Non-participation in breast screening in Denmark: Sociodemographic determinants

  • My von Euler-Chelpin*
  • , George Napolitano
  • , Elsebeth Lynge
  • , Søren Borstrøm
  • , Ilse Vejborg
  • *Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

BACKGROUND: Internationally, non-participation in breast screening increased with decreasing level of education indicating importance of information campaigns to enhance awareness of screening. However, in Denmark in the 1990s the association between education and non-participation was U-shaped. We therefore analyzed recent Danish data.

METHODS: Data derived from the Capital Region of Denmark, biennial, organized breast screening program 2008-2020, where women aged 50-69 were personally invited to screening. Non-participation was measured as number of women with no participation out of women eligible for at least three invitations. Sociodemographic determinants were identified by linkage to public registers. Results were reported as age adjusted odds ratios (OR) of non-participation including 95% confidence intervals (CI).

RESULTS: Among 196,085 women, 86% participated. Using women with low education as baseline, the OR for professional bachelors was 0.64; and for academics 0.75. The strongest determinants of non-participation were being non-married OR 2.03; born outside Denmark OR 2.04; being self-employed OR 1.67; retired OR 3.12; on public support OR 3.66; or having co-morbidity OR 1.56.

CONCLUSION: The U-shaped association between education and non-participation in breast screening prevailed. The data further indicated that screening participation was low in women with pertinent health and social problems.

Original languageEnglish
Article number2024
Number of pages8
JournalBMC Public Health
Volume24
Issue number1
DOIs
Publication statusPublished - 29 Jul 2024

Funding

Funders
University of Copenhagen

    Keywords

    • Humans
    • Denmark
    • Female
    • Middle Aged
    • Aged
    • Breast Neoplasms/diagnosis
    • Early Detection of Cancer/statistics & numerical data
    • Educational Status
    • Sociodemographic Factors
    • Socioeconomic Factors
    • Patient Acceptance of Health Care/statistics & numerical data
    • Participation
    • Breast cancer
    • Mammography
    • Epidemiology
    • Screening

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