Area disadvantage, individual socio-economic position, and premature cancer mortality in Australia 1998 to 2000 : a multilevel analysis
Bentley, Rebecca , Kavanagh, Anne Marie , Subramanian, S. V. , & Turrell, Gavin (2007) Area disadvantage, individual socio-economic position, and premature cancer mortality in Australia 1998 to 2000 : a multilevel analysis. Cancer Causes & Control, 19(2), pp. 183-193.
Objective: To examine associations between area and individual socio-economic characteristics and premature cancer mortality using multilevel analysis.--- Methods: We modeled cancer mortality among 25–64-year-old men and women (n = 16,340) between 1998 and 2000 in Australia. Socio-economic characteristics of Statistical Local Areas (n = 1,317) were measured using an Index of Relative Socio-economic Disadvantage (quintiles), and individual socio-economic position was measured by occupation (professionals, white and blue collar).--- Results: After adjustment for within-area variation in age and occupation, the probability of premature cancer mortality was highest in the most disadvantaged areas for all-cancer mortality for men (RR 1.48 95% CI 1.35–1.63) and women (RR 1.30 95% CI 1.18–1.43) and for lung cancer mortality for men (1.91 95% CI 1.63–2.25) and women (1.51 95% CI 1.04–2.18). Men in blue collar occupations had a higher rate of cancer mortality (RR 1.57 95% CI 1.50–1.65) and lung cancer mortality (RR 2.31 95 % CI 2.09–2.56), whereas men in white collar occupations had a lower all-cancer mortality rate (RR 0.78 95% CI 0.72–0.85). Compared with professionals, women in white collar occupations had an all-cancer mortality rate that was lower (RR 0.85 95% CI 0.80–0.90). When deaths from breast cancer were excluded, women in blue collar occupations had a significantly higher all-cancer mortality rate than professionals (RR 1.12 95% CI 1.02–1.22).--- Conclusions: Area disadvantage and individual socio-economic position were independently associated with premature cancer mortality, suggesting that interventions to reduce inequalities should focus on places and people.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||Cancer, Mortality, Socio-economic factors, Socio-economic status, Australia|
|ISSN:||0957-5243 (print) 1573-7225 (online)|
|Subjects:||Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > ONCOLOGY AND CARCINOGENESIS (111200)|
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Epidemiology (111706)
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health|
Current > Schools > School of Public Health & Social Work
|Copyright Owner:||Copyright 2007 Springer Science+Business Media B.V.|
|Deposited On:||21 Apr 2009 09:46|
|Last Modified:||07 Sep 2012 11:24|
Repository Staff Only: item control page