ArticleMedicine2022
Association of medical uninsurance with sociodemographic attributes in US cancer population: A cross-sectional study of NHANES data 2013 to 2018.
Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed, 1 citations in OpenAlex.
- Where Should the Cancer Control Interventions Target: A Geospatial Hotspot Analysis for Major Cancer Mortality 2018 to 2022 in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
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Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical uninsurance (MU) is associated with cancer disparities, particularly among underprivileged and minority sections of the United States. In this cross-sectional study of National Health and Nutritional Examination Survey (NHANES) data from 2013 to 2018, we evaluated sociodemographic attributes of MU disparity in the US cancer population. Those aged ≥20 years with a history of cancer and disclosed MU status were included. We calculated the descriptive statistics of the population stratified by insurance type and performed bivariate and multivariate logistic regression models to assess the association of sociodemographic attributes and MU and reported unadjusted (UOR) and adjusted odds ratios (AOR). Among the 1681 participants (US estimated, 25,982,352), 4.3% ± 0.62 were uninsured. Uninsured individuals were 13.5-year younger, largely female, less educated, and non-US born compared to insured individuals. Age (UOR: 0.94, 95% CI: 0.93-0.96), female sex (UOR: 3.53, 95% CI: 1.73-7.19), Hispanics (UOR: 4.30, 95% CI: 2.45-7.54), <high school education (UOR: 7.41, 95% CI: 2.51-21.86), and non-US born with <20-years-stay in US (UOR: 7.69, 95% CI: 3.32-17.82) were associated with MU. In the multivariate model, age (AOR: 0.95, 95% CI: 0.93-0.96), female sex (AOR: 2.88, 95% CI: 1.25-6.62), <high school education (AOR: 4.02, 95% CI: 1.24-13.00), and non-US-born status with <20-years stay (AOR: 3.42, 95% CI: 1.44-8.11) were independent predictors of MU. Income was not a predictor of MU. The US cancer population has unique determinants of MU. Ethnicity alone is not a predictor of MU, whereas income is not correlated with MU. Public health interventions focusing on the attributes of MU are needed.
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