Geographic remoteness, area-level socio-economic disadvantage and advanced breast cancer: a cross-sectional, multilevel study

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.

[1]  D. Gertig,et al.  Why do large breast cancers still present in a population offered screening? , 2008, International journal of cancer.

[2]  K. Jamrozik,et al.  Rural-urban differences in the presentation, management and survival of breast cancer in Western Australia. , 2006, Breast.

[3]  D. Roder,et al.  Survival and degree of spread for female breast cancers in New South Wales from 1980 to 2003: implications for cancer control , 2008, Cancer Causes & Control.

[4]  R. Hays Rural medical education in Europe: the relevance of the Australian experience. , 2007, Rural and remote health.

[5]  Risto Lehtonen,et al.  Multilevel Statistical Models , 2005 .

[6]  M. Coory,et al.  Cancer diagnosis, treatment, and survival in Indigenous and non-Indigenous Australians: a matched cohort study , 2006, The Lancet.

[7]  Gavin Turrell,et al.  Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998–2000 , 2006, Journal of Epidemiology and Community Health.

[8]  Bin Huang,et al.  Does distance matter? Distance to mammography facilities and stage at diagnosis of breast cancer in Kentucky. , 2009, The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association.

[9]  L. Borrell,et al.  A Local Area Analysis of Racial, Ethnic, and Neighborhood Disparities in Breast Cancer Staging , 2009, Cancer Epidemiology, Biomarkers & Prevention.

[10]  L. Clegg,et al.  Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study , 2008, Cancer Causes & Control.

[11]  X. Yu Socioeconomic disparities in breast cancer survival: relation to stage at diagnosis, treatment and race , 2009, BMC Cancer.

[12]  D. Wetter,et al.  Introduction to the Special Section on Cancer Disparities , 2008, Cancer Epidemiology Biomarkers & Prevention.

[13]  C. Luke,et al.  Female breast cancers are getting smaller, but socio‐demographic differences remain , 2004, Australian and New Zealand journal of public health.

[14]  Nancy Breen,et al.  Approaching health disparities from a population perspective: the National Institutes of Health Centers for Population Health and Health Disparities. , 2008, American journal of public health.

[15]  C. Johansen,et al.  The relation between socioeconomic and demographic factors and tumour stage in women diagnosed with breast cancer in Denmark, 1983–1999 , 2006, British Journal of Cancer.

[16]  J. Aitken,et al.  A multilevel study of the determinants of area-level inequalities in colorectal cancer survival , 2010, BMC Cancer.

[17]  Tony Barnes,et al.  Stage at diagnosis and cancer survival for Indigenous Australians in the Northern Territory , 2005, The Medical journal of Australia.

[18]  T. Sheehan,et al.  International Journal of Health Geographics Open Access a Space-time Analysis of the Proportion of Late Stage Breast Cancer , 2022 .

[19]  B. Yankaskas Epidemiology of breast cancer in young women. , 2005, Breast disease.

[20]  J. Ayanian,et al.  The effects of a National Breast and Cervical Cancer Early Detection Program on social disparities in breast cancer diagnosis and treatment in Massachusetts , 2005, Cancer Causes & Control.

[21]  S. Tretli,et al.  Weak associations between sociodemographic factors and breast cancer: possible effects of early detection , 2005, European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation.

[22]  R. Bastani,et al.  Role of community risk factors and resources on breast carcinoma stage at diagnosis , 2005, Cancer.

[23]  J. Marks,et al.  Young age at diagnosis correlates with worse prognosis and defines a subset of breast cancers with shared patterns of gene expression. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[24]  H. Honoré,et al.  Breast cancer in young women. , 1979, British medical journal.

[25]  Kelvyn Jones,et al.  Multilevel Perspectives on Modeling Census Data , 2001 .

[26]  S. McLafferty,et al.  Rural reversal? , 2009, Cancer.

[27]  J. Sariego Patterns of Breast Cancer Presentation in the United States: Does Geography Matter? , 2009, The American surgeon.

[28]  Amy Y. Chen,et al.  Insurance status and stage of cancer at diagnosis among women with breast cancer , 2007, Cancer.

[29]  L. Rutqvist,et al.  Socioeconomic gradients in clinical stage at presentation and survival among breast cancer patients in the Stockholm area 1977–1997 , 2006, International journal of cancer.

[30]  N. Krieger,et al.  Revisiting Robinson: the perils of individualistic and ecologic fallacy. , 2009, International journal of epidemiology.

[31]  P. Eggers,et al.  Associations of race, education, and patterns of preventive service use with stage of cancer at time of diagnosis. , 2004, Health services research.

[32]  D. Forman,et al.  Are there socioeconomic gradients in stage and grade of breast cancer at diagnosis? Cross sectional analysis of UK cancer registry data , 2004, BMJ : British Medical Journal.

[33]  S. Saltzstein,et al.  Early cancer detection among rural and urban californians , 2006, BMC public health.

[34]  E. Goyder,et al.  Inequalities in breast cancer stage at diagnosis in the Trent region, and implications for the NHS Breast Screening Programme. , 2009, Journal of public health.

[35]  Fahui Wang,et al.  Late-Stage Breast Cancer Diagnosis and Health Care Access in Illinois , 2008, The Professional geographer : the journal of the Association of American Geographers.