ArticleBMC women's health2021
Assessing health disparities in breast cancer incidence burden in Tennessee: geospatial analysis.
Article in BMC women's health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Mammography screening in Tennessee: a tract-level spatial analysis of geographic and socioeconomic disparities.Cancer causes & control : CCC · 2026Article
- A Multiscale Spatiotemporal Epidemiological Analysis of Neighborhood Correlates of Triple-Negative Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Article
- Differences in Distress Between Rural and Non-rural Appalachian Breast Cancer Patient/Caregiver Dyads During the First Year of Treatment.Journal of Appalachian health · 2023Article
- Sociodemographic Factors and Health Insurance Coverage Are Associated with Invasive Breast Cancer in Tennessee: Appalachian and Non-Appalachian County Comparison.Women's health reports (New Rochelle, N.Y.) · 2022Article
- Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer.BMC cancer · 2021Article
- Geographic information systems for occupational cancer surveillance: a scoping review.Revista CuidarteReview
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5 authors.
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Abstract
backgroundTennessee women experience the 12th highest breast cancer mortality in the United States. We examined the geographic differences in breast cancer incidence in Tennessee between Appalachian and non-Appalachian counties from 2005 to 2015.
methodsWe used ArcGIS 10.7 geospatial analysis and logistic regression on the Tennessee Cancer Registry incidence data for adult women aged ≥ 18 years (N = 59,287) who were diagnosed with breast cancer from 2005 to 2015 to evaluate distribution patterns by Appalachian county designation. The Tennessee Cancer Registry is a population-based, central cancer registry serving the citizens of Tennessee and was established by Tennessee law to collect and monitor cancer incidence. The main outcome was breast cancer stage at diagnosis. Independent variables were age, race, marital status, type of health insurance, and county of residence.
resultsMajority of the sample were White (85.5%), married (58.6%), aged ≥ 70 (31.3%) and diagnosed with an early stage breast cancer (69.6%). More than half of the women had public health insurance (54.2%), followed by private health insurance coverage (44.4%). Over half of the women resided in non-Appalachian counties, whereas 47.6% were in the Appalachian counties. We observed a significant association among breast cancer patients with respect to marital status and type of health insurance coverage (p = < 0.0001). While the logistic regression did not show a significant result between county of residence and breast cancer incidence, the spatial analysis revealed geographic differences between Appalachian and non-Appalachian counties. The highest incidence rates of 997.49-1164.59/100,000 were reported in 6 Appalachian counties (Anderson, Blount, Knox, Rhea, Roane, and Van Buren) compared to 3 non-Appalachian counties (Fayette, Marshall, and Williamson).
conclusionsThere is a need to expand resources in Appalachian Tennessee to enhance breast cancer screening and early detection. Using geospatial techniques can further elucidate disparities that may be overlooked in conventional linear analyses to improve women's cancer health and associated outcomes.
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