{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T05:39:04Z","timestamp":1766122744572,"version":"3.48.0"},"reference-count":22,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Breast cancer is the most frequently diagnosed malignancy among South African women and remains a leading cause of cancer-related death, yet the role of occupation as an independent predictor of mortality has not been evaluated nationally. In this unmatched case\u2013control study using 2011\u20132019 mortality data, we compared 13,207 breast cancer deaths with 64,849 non-malignant circulatory disease deaths among women aged 30 years and older, classifying usual occupation into major and sub-groups. A multivariable binary logistic regression adjusting for age, year of death, education, province of death and smoking status was conducted. We observed that compared with elementary occupations, breast cancer mortality was significantly higher during 2011\u20132015 among legislators, senior officials and managers (aMOR = 1.79, 95% CI: 1.36\u20132.36), clerks (aMOR = 1.75, 95% CI: 1.46\u20132.11), professionals (aMOR = 1.62, 95% CI: 1.36\u20131.94), craft and related trades workers (aMOR = 1.55, 95% CI: 1.18\u20132.05), technicians and associate professionals (aMOR = 1.54, 95% CI: 1.21\u20131.96), and service workers, shop and market sales workers (aMOR = 1.33, 95% CI: 1.10\u20131.62), with similar patterns persisting in 2016\u20132019 where technicians and associate professionals (aMOR = 1.69, 95% CI: 1.44\u20131.98), legislators, senior officials and managers (aMOR = 1.59, 95% CI: 1.20\u20132.10), professionals (aMOR = 1.47, 95% CI: 1.23\u20131.75), clerks (aMOR = 1.43, 95% CI: 1.24\u20131.65), and service workers (aMOR = 1.34, 95% CI: 1.12\u20131.61) again showed elevated odds. The sub-occupation analyses for 2011\u20132015 identified strikingly high risks among building and related trades workers excluding electricians (aMOR = 8.01, 95% CI: 3.06\u201320.96), legal, social and cultural professionals (aMOR = 3.32, 95% CI: 2.18\u20135.04), and business and administration professionals (aMOR = 2.18, 95% CI: 1.60\u20132.97). The results underscore occupation as an essential determinant of breast cancer mortality, highlighting the need for targeted prevention and screening strategies in workers.<\/jats:p>","DOI":"10.3390\/ijerph22121878","type":"journal-article","created":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T15:53:46Z","timestamp":1765986826000},"page":"1878","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Occupation and Female Breast Cancer Mortality in South Africa: A Case\u2013Control Study"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4703-7057","authenticated-orcid":false,"given":"Melitah","family":"Motlhale","sequence":"first","affiliation":[{"name":"Epidemiology and Surveillance, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0107-949X","authenticated-orcid":false,"given":"Hlologelo","family":"Ramatsoma","sequence":"additional","affiliation":[{"name":"Epidemiology and Surveillance, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tsoseletso","family":"Maabela","sequence":"additional","affiliation":[{"name":"Epidemiology and Surveillance, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7933-0031","authenticated-orcid":false,"given":"Kerry","family":"Wilson","sequence":"additional","affiliation":[{"name":"Epidemiology and Surveillance, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7223-7881","authenticated-orcid":false,"given":"Nisha","family":"Naicker","sequence":"additional","affiliation":[{"name":"Epidemiology and Surveillance, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2001, South Africa"},{"name":"School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa"},{"name":"Department of Environmental Health, University of Johannesburg, Johannesburg 2028, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bulliard, J.L., Bovio, N., Arveux, P., Bergeron, Y., Chiolero, A., Fournier, E., Germann, S., Konzelmann, I., Maspoli, M., and Rapiti, E. 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