JOURNAL ARTICLE

International patterns and trends in the incidence of melanoma and cutaneous squamous cell carcinoma, 1989–2020.

  • Published In: British Journal of Dermatology, 2024, v. 190, n. 4. P. 492 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Olsen, Catherine M; Pandeya, Nirmala; Ragaini, Bruna S; Neale, Rachel E; Whiteman, David C 3 of 3

Abstract

This article focuses on comparing incidence trends of cutaneous squamous cell carcinoma (cSCC) and melanoma across seven mid-to-high latitude populations—Finland, Norway, Sweden, Denmark, Scotland, the Netherlands, and Tasmania (Australia)—to understand changing patterns of ultraviolet radiation (UVR) exposure. The study found that the ratio of cSCC-to-melanoma incidence increases with proximity to the equator and over time, with cSCC incidence now exceeding melanoma incidence in both men and women in all populations studied. Melanoma incidence was higher among younger individuals, while cSCC incidence was higher among older individuals, reflecting their differing associations with intermittent versus cumulative sun exposure. Additionally, the incidence of cSCC has increased more rapidly in women than men in most countries, suggesting changes in UVR exposure behaviors. Despite international efforts to reduce UVB radiation through ozone layer protection, skin cancer incidence, particularly cSCC, continues to rise, highlighting the need for ongoing prevention strategies.

Additional Information

  • Source:British Journal of Dermatology. 2024/04, Vol. 190, Issue 4, p492
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:0007-0963
  • DOI:10.1093/bjd/ljad425
  • Accession Number:176248424
  • Copyright Statement:Copyright of British Journal of Dermatology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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