Peter D Baade1, Gavin Turrell, Joanne F Aitken. 1. Viertel Centre for Research in Cancer Control, Cancer Council Queensland, PO Box 201, Spring Hill, QLD 4001, Australia. peterbaade@cancerqld.org.au
Abstract
BACKGROUND: Reducing disparities in cancer outcomes is a major priority for cancer-control agencies. The authors examine the relationships between geographic remoteness, area disadvantage and risk of advanced breast cancer among women. METHODS: Multilevel models were used to assess the area- and individual-level contributions to the risk of advanced breast cancer among women aged 30-79 years diagnosed as having breast cancer in Queensland, Australia between 1997 and 2006 (n=18,658). RESULTS: Women who resided in the most socio-economically disadvantaged areas were significantly more likely (OR 1.21, 95% CI 1.07 to 1.37) than residents of the most advantaged areas to be diagnosed as having advanced breast cancer after adjustment for individual-level factors. When geographic remoteness and area-disadvantage (and all the individual-level factors) were simultaneously adjusted, the rates of advanced breast cancer were significantly higher for women residing in Outer Regional areas (OR 1.13, 95% CI 1.02 to 1.24) and those who lived in the most disadvantaged areas (OR 1.16, 95% CI 1.02 to 1.32). There was no statistically significant interaction between geographic remoteness and area disadvantage. CONCLUSIONS: A woman's risk of being diagnosed as having advanced breast cancer depends on where she lives, separate from the individual characteristics of the woman herself. Both the rurality and socio-economic characteristics of the geographical area in which women lived were important. The socio-economic factors contributing to advanced breast cancer, existing in both urban and rural environments, need to be investigated.
BACKGROUND: Reducing disparities in cancer outcomes is a major priority for cancer-control agencies. The authors examine the relationships between geographic remoteness, area disadvantage and risk of advanced breast cancer among women. METHODS: Multilevel models were used to assess the area- and individual-level contributions to the risk of advanced breast cancer among women aged 30-79 years diagnosed as having breast cancer in Queensland, Australia between 1997 and 2006 (n=18,658). RESULTS:Women who resided in the most socio-economically disadvantaged areas were significantly more likely (OR 1.21, 95% CI 1.07 to 1.37) than residents of the most advantaged areas to be diagnosed as having advanced breast cancer after adjustment for individual-level factors. When geographic remoteness and area-disadvantage (and all the individual-level factors) were simultaneously adjusted, the rates of advanced breast cancer were significantly higher for women residing in Outer Regional areas (OR 1.13, 95% CI 1.02 to 1.24) and those who lived in the most disadvantaged areas (OR 1.16, 95% CI 1.02 to 1.32). There was no statistically significant interaction between geographic remoteness and area disadvantage. CONCLUSIONS: A woman's risk of being diagnosed as having advanced breast cancer depends on where she lives, separate from the individual characteristics of the woman herself. Both the rurality and socio-economic characteristics of the geographical area in which women lived were important. The socio-economic factors contributing to advanced breast cancer, existing in both urban and rural environments, need to be investigated.
Authors: Vignesh Raman; Mohamed A Adam; Megan C Turner; Harvey G Moore; Christopher R Mantyh; John Migaly Journal: J Gastrointest Surg Date: 2019-05-31 Impact factor: 3.452
Authors: Mohammad Aslam Khan; Girijesh Kumar Patel; Sanjeev Kumar Srivastava; James Elliot Carter; Jennifer Young Pierce; Rodney Paul Rocconi; Seema Singh; Ajay Pratap Singh Journal: Cancer Health Disparities Date: 2019-08-19
Authors: Molly Andreason; Chong Zhang; Adedayo A Onitilo; Jessica Engel; Wendy M Ledesma; Kimberly Ridolfi; KyungMann Kim; John C Charlson; Kari B Wisinski; Amye J Tevaarwerk Journal: J Community Support Oncol Date: 2015-05
Authors: Linda Sharp; David Donnelly; Avril Hegarty; Anne-Elie Carsin; Sandra Deady; Neil McCluskey; Anna Gavin; Harry Comber Journal: J Urban Health Date: 2014-06 Impact factor: 3.671
Authors: Jesse J Plascak; Adana A Llanos; Michael L Pennell; Rory C Weier; Electra D Paskett Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-09-09 Impact factor: 4.254