ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020
Residential Mobility and Geospatial Disparities in Colon Cancer Survival.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum.Cancer medicine · 2022Pooled it
- Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research.American journal of human genetics · 2026Review
- A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Landscape analysis of environmental data sources for linkage with SEER cancer patients database.Journal of the National Cancer Institute. Monographs · 2024Article
- Utilizing residential histories to assess environmental exposure and socioeconomic status over the life course among mesothelioma patients.Journal of thoracic disease · 2023Article
- Ethnic enclaves and colon cancer stage at diagnosis among New Jersey Hispanics.Social science & medicine (1982) · 2023Article
- Utilizing Residential History to Examine Heterogeneous Exposure Trajectories: A Latent Class Mixed Modeling Approach Applied to Mesothelioma Patients.Journal of registry management · 2023Article
- Examining socio-spatial mobility patterns among colon cancer patients after diagnosis.SSM - population health · 2022Article
- Assessment of Interstate Residential Mobility of SEER Patients: SEER and LexisNexis Residential Address Linkage.Journal of registry management · 2022Article
- Relative impact of genetic ancestry and neighborhood socioeconomic status on all-cause mortality in self-identified African Americans.PloS one · 2022Article
- Measuring Neighborhood Landscapes: Associations between a Neighborhood's Landscape Characteristics and Colon Cancer Survival.International journal of environmental research and public health · 2021Article
- A Renewed Focus on Health Disparities in the Year 2020: Reexamining Geospatial Disparities.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
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7 authors.
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Abstract
backgroundIdentifying geospatial cancer survival disparities is critical to focus interventions and prioritize efforts with limited resources. Incorporating residential mobility into spatial models may result in different geographic patterns of survival compared with the standard approach using a single location based on the patient's residence at the time of diagnosis.
methodsData on 3,949 regional-stage colon cancer cases diagnosed from 2006 to 2011 and followed until December 31, 2016, were obtained from the New Jersey State Cancer Registry. Geographic disparity based on the spatial variance and effect sizes from a Bayesian spatial model using residence at diagnosis was compared with a time-varying spatial model using residential histories [adjusted for sex, gender, substage, race/ethnicity, and census tract (CT) poverty]. Geographic estimates of risk of colon cancer death were mapped.
resultsMost patients (65%) remained at the same residence, 22% changed CT, and 12% moved out of state. The time-varying model produced a wider range of adjusted risk of colon cancer death (0.85-1.20 vs. 0.94-1.11) and resulted in greater geographic disparity statewide after adjustment (25.5% vs. 14.2%) compared with the model with only the residence at diagnosis.
conclusionsIncluding residential mobility may allow for more precise estimates of spatial risk of death. Results based on the traditional approach using only residence at diagnosis were not substantially different for regional stage colon cancer in New Jersey. IMPACT: Including residential histories opens up new avenues of inquiry to better understand the complex relationships between people and places, and the effect of residential mobility on cancer outcomes.
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