Abstract A130: The factors associated with survivals in American adults with or without cancer: A population study

Introduction and methods: We aim to identify the factors associated with survivals of American adults with or without cancer and whether they differed by year. Nationally representative data from the National Death Index-linked National Health Interview Survey of 2005 and 2015 was used. Adults who were surveyed in 2005 and 2015 were followed up until December 31st, 2019 (14 and 4 years of follow up, respectively). The factors of interest were age, sex, education level, race/ethnicity, region, income, employment and health coverage. Univariable logistic regression (UVA) was used to screen the associated factors. Factors with p value <0.20 in UVA would be included in multivariable logistic regression analyses (MVA). Results: 7,922,662 (8.2%) of 97,231,495 subjects in the 2005 cohort had a cancer diagnosis, while 10,412,971 (10.0%) of 104,121,795 subjects in the 2015 cohort had one. Our MVA showed that, in the 2005 cohort, employment in the past 12 months (odds ratio [OR] = 1.97, P=0.004) and being female (OR = 2.10, P=0.001) were linked to being alive with cancer diagnosis. By contrast, being 65 years and older (OR = 0.31, P<0.001) and lower education level (below versus college education and above, OR = 0.59, P=0.022) were linked to not be alive. However, lower income (P=0.064) or race/ethnicity (P=0.082) was not associated with survival. In adults without cancer, being female (OR = 1.88, P<0.001) increases the odds of being alive. Being older than 65 years (OR = 0.31, P<0.001) or having a lower education level (OR = 0.59, P=0.022) significantly decreases the odds of being alive. Interestingly, being employed and lower income were not associated with survival in adults without cancer. While race/ethnicity was not linked to survival in adults with cancer, it (OR = 0.88, P=0.009 was linked to survival in adults without cancer. Not having health coverage in the last 12 months and region were not significant in UVA and therefore not included in MVA. In the MVA on 2015 cohort, being employed in the past 12 months (OR = 4.10, P=0.000), being female (OR = 1.77, P<0.001) and being Hispanic (OR = 7.43, P<0.001) were linked to being alive with cancer diagnosis. Being 65 years and older (OR = 0.46, P<0.001) and lower education level (OR = 0.53, P<0.001) were linked to lower odds of survival with cancer. For adults without cancer, being employed (OR = 4.76, P<0.001) and being female (OR = 1.76, P<0.001) were linked to being alive, while lower education level (OR = 0.66, P<0.001) linked to not being alive. In the 2015 cohort, race/ethnicity, not having health coverage in the last 12 months, and region were not significant in UVA and therefore not included in MVA. Conclusion: Some socioeconomic-status factors such as age, sex, and education were consistently linked to survival in American adults with or without cancer. However, there are differences in prognostic values of some socioeconomic factors (e.g., being employed and race/ethnicity) between 2005 and 2015 cohorts. However, more studies are needed to confirm our findings. Citation Format: Iris Z. Shen, Lanjing Zhang. The factors associated with survivals in American adults with or without cancer: A population study [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 A130.