Abstract A074: An epidemiological analysis of racial and geographic disparities in self-reported solid tumor prevalence: Insights from HINTS 5, cycle 1 on US cancer burden

Abstract Purpose: This study investigates the intersection of racial/ethnic identity and geographic location in shaping the prevalence of solid tumor cancers in the United States, addressing a critical gap in the current literature on cancer disparities. Methods: A cross-sectional analysis was conducted using data from the 2017 Health Information National Trends Survey (HINTS 5, Cycle 1), a nationally representative, self-administered survey administered by the National Cancer Institute. The analytic sample comprised 481 adult respondents who self-reported a diagnosis of a solid tumor cancer and provided complete data on race/ethnicity and U.S. census region (Northeast, Midwest, South, West). Chi-square tests were used to assess statistically significant differences in cancer prevalence across racial/ethnic groups within each geographic region, with statistical significance defined as p<0.05. Results: The analysis revealed significant regional and racial/ethnic variation in the prevalence of several solid tumor types. In the South, breast cancer among Black individuals (p=0.03) and skin cancer among White individuals (p=0.00) were significantly more prevalent. In the West, statistically significant racial differences were observed for prostate (p=0.00), colon (p=0.01), endometrial (p=0.00), renal (p=0.00), and liver cancers (p=0.00). When examined across all regions, breast cancer prevalence was significantly higher among Black respondents (p=0.00), while colon cancer disparities approached statistical significance (p=0.05). White individuals reported the highest overall prevalence of solid tumors, particularly in the Southern region. Conclusions: The findings underscore the complex interplay between race/ethnicity and geographic location in influencing cancer burden. These disparities highlight the necessity for regionally and demographically tailored cancer prevention and control strategies. Further research employing longitudinal designs with larger sample sizes is warranted to elucidate causal mechanisms and inform targeted public health interventions aimed at mitigating cancer disparities across vulnerable populations. Citation Format: Megan Khaddar. An epidemiological analysis of racial and geographic disparities in self-reported solid tumor prevalence: Insights from HINTS 5, cycle 1 on US cancer burden [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr A074.

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Journal
Cancer Epidemiology Biomarkers & Prevention
Published
2025-09-18
DOI
https://doi.org/10.1158/1538-7755.disp25-a074
Primary Topic
Cancer Risks and Factors
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article
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article

Abstract A074: An epidemiological analysis of racial and geographic disparities in self-reported solid tumor prevalence: Insights from HINTS 5, cycle 1 on US cancer burden

Megan Khaddar
Cancer Epidemiology Biomarkers & Prevention
Cancer Risks and Factors
article

Abstract A074: An epidemiological analysis of racial and geographic disparities in self-reported solid tumor prevalence: Insights from HINTS 5, cycle 1 on US cancer burden

Megan Khaddar
article en

Abstract

Abstract Purpose: This study investigates the intersection of racial/ethnic identity and geographic location in shaping the prevalence of solid tumor cancers in the United States, addressing a critical gap in the current literature on cancer disparities. Methods: A cross-sectional analysis was conducted using data from the 2017 Health Information National Trends Survey (HINTS 5, Cycle 1), a nationally representative, self-administered survey administered by the National Cancer Institute. The analytic sample comprised 481 adult respondents who self-reported a diagnosis of a solid tumor cancer and provided complete data on race/ethnicity and U.S. census region (Northeast, Midwest, South, West). Chi-square tests were used to assess statistically significant differences in cancer prevalence across racial/ethnic groups within each geographic region, with statistical significance defined as p<0.05. Results: The analysis revealed significant regional and racial/ethnic variation in the prevalence of several solid tumor types. In the South, breast cancer among Black individuals (p=0.03) and skin cancer among White individuals (p=0.00) were significantly more prevalent. In the West, statistically significant racial differences were observed for prostate (p=0.00), colon (p=0.01), endometrial (p=0.00), renal (p=0.00), and liver cancers (p=0.00). When examined across all regions, breast cancer prevalence was significantly higher among Black respondents (p=0.00), while colon cancer disparities approached statistical significance (p=0.05). White individuals reported the highest overall prevalence of solid tumors, particularly in the Southern region. Conclusions: The findings underscore the complex interplay between race/ethnicity and geographic location in influencing cancer burden. These disparities highlight the necessity for regionally and demographically tailored cancer prevention and control strategies. Further research employing longitudinal designs with larger sample sizes is warranted to elucidate causal mechanisms and inform targeted public health interventions aimed at mitigating cancer disparities across vulnerable populations. Citation Format: Megan Khaddar. An epidemiological analysis of racial and geographic disparities in self-reported solid tumor prevalence: Insights from HINTS 5, cycle 1 on US cancer burden [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr A074.

Cancer Epidemiology Biomarkers & PreventionVol. 34(9_Supplement)
Massachusetts College of Pharmacy and Health Sciences (US)
Openalex Percentile: Top 65%
Cancer Risks and Factors
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