Racial and ethnic differences in colon cancer surgery type performed and delayed treatment among people 45 years old and older in the USA between 2007 and 2017: Mediating effect on survival.

BACKGROUND: This study examined the associations of socioeconomic status (SES), race/ethnicity, surgery type, and treatment delays with mortality among colon cancer patients. In addition, the study also quantifies the extent to which clinical and SES factors' variations explain the racial/ethnic differences in overall survival. PATIENTS AND METHODS: We studied 111,789 adult patients ≥45 years old who were diagnosed with colon cancer between 2010 and 2017, identified from the Surveillance, Epidemiology, and End Results (SEER) database. We performed logistic regression models to examine the association of SES and race/ethnicity with surgery type and first course of treatment delays. We also performed mediation analysis to quantify the extent to which treatment, sociodemographic and clinicopathologic factors mediated racial/ethnic differences in survival. RESULTS: Non-Hispanic (NH) Blacks [adjusted Odds Ratio (aOR) = 1.19, 95% CI:1.13-1.25] were significantly more likely to undergo subtotal colectomy and to experience treatment delays [aOR = 1.39, 95% CI: 1.31-1.48] compared to NH Whites. Hispanics [aOR = 1.59, 95% CI: 1.49-1.69] were more likely to experience treatment delays than NH Whites. Delayed first course of treatment explained 23.56% and 56.73% of the lower survival among NH Blacks and Hispanics, respectively, compared to their NH White counterparts. CONCLUSIONS: Race/ethnicity is significantly associated with the surgery type performed and the first course of treatment delays. Variations in treatment, SES, and clinicopathological factors significantly explained racial disparities in overall mortality. These disparities highlight the need for multidisciplinary interventions to address the treatment and social factors perpetuating racial disparities in colon cancer mortality.

Racial/ethnic and socioeconomic differences in breast cancer surgery performed and delayed treatment: mediating impact on mortality.

OBJECTIVE: Although Socioeconomic status (SES), race/ethnicity, surgical type, and treatment delays are associated with breast cancer mortality outcomes, studies on these associations have been contrasting. This study examined the racial/ethnic and SES differences in surgical treatment types and treatment delays. Also, we quantified the extent to which these differences explained the racial/ethnic disparities in breast cancer mortality. METHODS: We studied 290,066 women 40 + years old diagnosed with breast cancer between 2010 and 2017 identified from the Surveillance, Epidemiology, and End Results database. We performed logistic regression models to examine the association of SES and race/ethnicity with surgical treatment type and treatment delays. We performed mediation analysis models to quantify the extent to which mortality differences were mediated by treatment, sociodemographic, and clinicopathologic factors. RESULTS: Non-Hispanic (NH) Black [Odds ratio (OR) = 1.16, 95% CI 1.13-1.19] and Hispanic women [OR = 1.27, 95% CI 1.24-1.31] were significantly more likely to undergo mastectomy compared to NH White women. Similarly, NH Black and Hispanic women had higher odds of delayed treatment than NH Whites. Patients in the highest SES quintile, compared to those in lowest the lowest, were less likely to experience breast cancer-specific mortality (BCSM). Variations in treatment, SES, and clinicopathological factors significantly explained 70% of the excess BCSM among NH Blacks compared to their NH White counterparts. CONCLUSIONS: Bridging the gap of access to adequate healthcare services for all to diminish the disproportionate burden of breast cancer would require a multifactorial approach that addresses several biological and social factors that cause these differences.

Association of Depression, Poor Mental Health Status and Asthma Control Patterns in US Adults Using a Data-Reductive Latent Class Method.

Objectives To explore the association between depression, poor mental health status, and asthma control patterns among US adults using a latent class analysis (LCA) approach. Methods We used data from 10,337 adults aged 18 years and above from the 2016 Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey. Data-reductive LCA was used to derive asthma control patterns in the population using class variables indicative of asthma control. Besides univariate analysis, adjusted and unadjusted logistic regression models were used to examine the association of depression and poor mental health on the derived asthma control patterns.  Results About 27.8% of adults aged <55 reported depression, while 27.3% aged ≥55 years were depressed. The latent class prevalence of asthma control patterns was 42.8%, 31.1%, and 26.1%, corresponding to good, fair, and poor asthma control patterns, respectively. In adults aged <55 years, odds of depression (OR=1.52, 95% CI=1.27-1.82) and poor mental health (OR=1.58, 95% CI=1.27-1.96) were higher in the poor asthma control group compared to the good asthma control group. Odds for depression (OR=1.28, 95% CI=1.06-1.53) were also higher in the moderate asthma control group compared to the good asthma control group. Among those aged ≥55 years, depression odds (OR=1.57, 95% CI=1.31-1.87) were higher in only the poor asthma control group. Conclusions These findings may have public health implications. Detecting, screening, and treating depression and mental health disorders may help improve asthma control in people with asthma.