Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/87101
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dc.contributor.authorBeckmann, K.en
dc.contributor.authorRoder, D.en
dc.contributor.authorHiller, J.en
dc.contributor.authorFarshid, G.en
dc.contributor.authorLynch, J.en
dc.date.issued2014en
dc.identifier.citationAsian Pacific Journal of Cancer Prevention (APJCP), 2014; 15(7):3105-3112en
dc.identifier.issn1513-7368en
dc.identifier.issn2476-762Xen
dc.identifier.urihttp://hdl.handle.net/2440/87101-
dc.description.abstractPURPOSE: To examine breast cancer (BC) incidence trends in relation to mammographic screening and risk factor prevalence in South Australia (SA). MATERIALS AND METHODS: Trends in annual BC incidence rates were calculated using direct standardisation and compared with projected incidence derived from Poisson regression analysis of pre-screening rates. Annual percentage change and change time points were estimated using Joinpoint software. Biennial mammography screening participation rates were calculated using data from BreastScreen SA. Trends in overweight/obesity, alcohol use and hormone replacement therapy (HRT) use were examined using 1991-2009 Health Omnibus Survey data. Trends in total fertility were examined using data from the Australian Bureau of Statistics. RESULTS: BC incidence increased around the time BreastScreen commenced and then stabilised in the mid-1990s. However rates have remained higher than projected, even though the proportion and age distribution of first time screening attendees stabilised around 1998. A decrease in BC incidence was observed among women aged 50-59yrs from the late-1990's but not among older women. Obesity and alcohol use have increased steadily in all age groups, while HRT use declined sharply from the late-1990s. CONCLUSIONS: BC incidence has remained higher than projected since mammography screening began. The sustained elevation is likely to be due to lead time effects, though over-diagnosis cannot be excluded. Declining HRT use has also impacted incidence trends. Implications: Studies using individual level data, which can account for changes in risk factor prevalence and lead time effects, are required to evaluate 'over-diagnosis' due to screening.en
dc.description.statementofresponsibilityKerri Rose Beckmann, David Murray Roder, Janet Esther Hiller, Gelareh Farshid, John William Lynchen
dc.language.isoenen
dc.publisherNational Cancer Center, Koreaen
dc.rightsCopyright status unknownen
dc.subjectBreast cancer; incidence trends; mammographic screeningen
dc.titleInfluence of mammographic screening on breast cancer incidence trends in South Australiaen
dc.typeJournal articleen
dc.identifier.rmid0030010724en
dc.identifier.doi10.7314/APJCP.2014.15.7.3105en
dc.identifier.pubid101842-
pubs.library.collectionPublic Health publicationsen
pubs.library.teamDS01en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidRoder, D. [0000-0001-6442-4409]en
dc.identifier.orcidHiller, J. [0000-0002-8532-4033]en
dc.identifier.orcidFarshid, G. [0000-0002-2056-0561]en
dc.identifier.orcidLynch, J. [0000-0003-2781-7902]en
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