The effect of marital status (MS) on survival varies according to cancer type and gender. There has been no report on the impact of MS on survival in male breast cancer (MBC). This study aims to determine the influence of MS on tumor stage at diagnosis and survival in MBC. Men with MBC ≥18 years of age in the SEER database from 1990 to 2011 were included in the study. MS was classified as married and unmarried (including single, divorced, separated, widowed). Kaplan–Meier method was used to estimate the 5-year cancer-specific survival. Multivariate regression analyses were done to determine the effect of MS on presence of Stage IV disease at diagnosis and on cancer-specific mortality. The study included 3,761 men; 2,647 (70.4%) were married. Unmarried men were more often diagnosed with Stage IV MBC compared with married (10.7% vs. 5.5%, p < .001). Unmarried men (compared with married) were significantly less likely to undergo surgery (92.4% vs. 96.7%, p < .001). Overall unmarried males with Stages II, III, and IV MBC have significantly worse 5-year cancer-specific survival compared with married. On multivariate analysis, being unmarried was associated with increased hazard of death (HR = 1.43, p < .001) and increased likelihood of Stage IV disease at diagnosis (OR = 1.96, p < .001). Unmarried males with breast cancer are at greater risk for Stage IV disease at diagnosis and poorer outcomes compared with married males.

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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),

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