| dc.date.accessioned | 1399-07-08T18:04:53Z | fa_IR |
| dc.date.accessioned | 2020-09-29T18:04:54Z | |
| dc.date.available | 1399-07-08T18:04:53Z | fa_IR |
| dc.date.available | 2020-09-29T18:04:54Z | |
| dc.date.issued | 2014-07-01 | en_US |
| dc.date.issued | 1393-04-10 | fa_IR |
| dc.identifier.citation | (2014). Influence of Mammographic Screening on Breast Cancer Incidence Trends in South Australia. Asian Pacific Journal of Cancer Prevention, 15(7), 3105-3112. | en_US |
| dc.identifier.issn | 1513-7368 | |
| dc.identifier.issn | 2476-762X | |
| dc.identifier.uri | http://journal.waocp.org/article_29049.html | |
| dc.identifier.uri | https://iranjournals.nlai.ir/handle/123456789/35786 | |
| dc.description.abstract | Purpose: To examine breast cancer (BC) incidence trends in relation to mammographic screening and riskfactor prevalence in South Australia (SA). Materials and <br/><b>Methods</b>:Trends in annual BC incidence rates werecalculated using direct standardisation and compared with projected incidence derived from Poisson regressionanalysis of pre-screening rates. Annual percentage change and change time points were estimated using Joinpointsoftware. Biennial mammography screening participation rates were calculated using data from BreastScreenSA. Trends in overweight/obesity, alcohol use and hormone replacement therapy (HRT) use were examined using1991-2009 Health Omnibus Survey data. Trends in total fertility were examined using data from the AustralianBureau of Statistics. <br/><b>Results</b>: BC incidence increased around the time BreastScreen commenced and thenstabilised in the mid-1990s. However rates have remained higher than projected, even though the proportionand age distribution of first time screening attendees stabilised around 1998. A decrease in BC incidence wasobserved among women aged 50-59yrs from the late-1990’s but not among older women. Obesity and alcoholuse have increased steadily in all age groups, while HRT use declined sharply from the late-1990s. <br/><b>Conclusions</b>:BC incidence has remained higher than projected since mammography screening began. The sustained elevationis likely to be due to lead time effects, though over-diagnosis cannot be excluded. Declining HRT use has alsoimpacted incidence trends. Implications: Studies using individual level data, which can account for changes inrisk factor prevalence and lead time effects, are required to evaluate ‘over-diagnosis’ due to screening. | en_US |
| dc.format.extent | 462 | |
| dc.format.mimetype | application/pdf | |
| dc.language | English | |
| dc.language.iso | en_US | |
| dc.publisher | West Asia Organization for Cancer Prevention (WAOCP) | en_US |
| dc.relation.ispartof | Asian Pacific Journal of Cancer Prevention | en_US |
| dc.subject | breast cancer | en_US |
| dc.subject | incidence trends | en_US |
| dc.subject | mammographic screening | en_US |
| dc.title | Influence of Mammographic Screening on Breast Cancer Incidence Trends in South Australia | en_US |
| dc.type | Text | en_US |
| dc.citation.volume | 15 | |
| dc.citation.issue | 7 | |
| dc.citation.spage | 3105 | |
| dc.citation.epage | 3112 | |