Spatial Analysis of Breast Cancer Mortality Rates in a Rural State

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Schulz, Marisa ; Spors, Emma ; Bates, Kari ; Michael, Semhar
• Description:
  Introduction
  
  Breast cancer affects 1 in 8 women in the US and is the most frequently diagnosed cancer in women. In South Dakota, 102 women die from breast cancer each year. We assessed which sociodemographic factors contributed to mortality rates in South Dakota and used spatial analysis to investigate how counties’ observed age-adjusted mortality rates compared with expected rates.
  
  Methods
  
  We computed standardized incidence ratios (SIRs) of all counties in South Dakota by using the age-adjusted mortality rates, the 2000 US standard population, and the South Dakota estimated population. We used a linear regression model to identify sociodemographic factors associated with breast cancer mortality rates and to compute a new SIR value, after controlling for relevant factors.
  
  Results
  
  Educational level and breast cancer incidence rates were significantly associated with breast cancer mortality rates at the county level. The SIR values based on age-adjusted counts showed which counties had more deaths due to breast cancer than what might be expected using South Dakota as the reference population. After controlling for sociodemographic factors, the range of SIR values decreased and had lower variability.
  
  Conclusion
  
  The regression model helped identify factors associated with mortality and provided insights into which risk factors are at play in South Dakota. This information, in combination with the spatial distribution of mortality by county, can be used to help allocate resources to the counties in South Dakota that need them most.
  
  
• Subjects:
  Breast Neoplasms Female Humans Incidence Risk Factors Rural Population Spatial Analysis
• Source:
  Prev Chronic Dis. 2022; 19
• DOI:
  http://dx.doi.org/10.5888/pcd19.220113
• ISSN:
  1545-1151
• Pubmed ID:
  36265079
• Pubmed Central ID:
  PMC9616131
• Document Type:
  Journal Article
• Volume:
  19
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:263b22ecf9212474f42644153eeb40aec6a69968a3a157f1888f34d988fca05575113db095318afcbb6a8fb446706dc8beeb2eb3d95db007c4d2fbf766c0b170
• Download URL:
  https://stacks.cdc.gov/view/cdc/122404/cdc_122404_DS1.pdf
• File Type:
  [PDF - 544.45 KB ]