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Disparities of Cancer Incidence in Michigan’s American Indians: Spotlight on Breast Cancer
Filetype[PDF - 383.18 KB]


Details:
  • Pubmed ID:
    24676851
  • Pubmed Central ID:
    PMC4147948
  • Funding:
    1U58DP003921-01/DP/NCCDPHP CDC HHS/United States
    R25 CA112383/CA/NCI NIH HHS/United States
    R25 CA112383/CA/NCI NIH HHS/United States
  • Document Type:
  • Collection(s):
  • Description:
    Introduction

    In American Indians (AI), cancer is a leading cause of mortality, yet their disease burden is not fully understood due to unaddressed racial misclassification in cancer registries. This study describes cancer trends among AIs in Michigan, focusing on breast cancer, in a linked data set of Indian Health Service (IHS), tribal and state cancer registry data adjusted for misclassification.

    Methods

    AI status was based upon reported race and linkage to IHS data and tribal registries. Data with complete linkage on all incident cancer cases in Michigan from 1995-2004 was used to calculate age-standardized incidence estimates for invasive all-site and female breast cancers stratified by racial group. For female breast cancers, stage and age-specific incidence and percent distributions of early versus late-stage cancers and age of diagnosis were calculated.

    Results

    Over 50% of all AI cases were identified through IHS and/or tribal linkage. In the linked data, AIs had the lowest rates of all-sites and breast cancer. For breast cancers, AI women had a greater late-stage cancer burden and a younger mean age of diagnosis as compared to whites. Although the age-specific rate for whites was greater than for AI women in nearly all age groups, the difference in hazard ratio increased with increasing age.

    Conclusions

    Our state-specific information will help formulate effective, tailored cancer prevention strategies to this population in Michigan. The data linkages used in our study are crucial for generating accurate rates and can be effective in addressing misclassification of the AI population and formulating cancer prevention strategies for AI nationwide.