Severe housing cost burden and premature mortality from cancer.

Unaffordable housing has been associated with poor health. We investigated the relationship between severe housing cost burden and premature cancer mortality (death before 65 years of age) overall and by Medicaid expansion status. County-level severe housing cost burden was measured by the percentage of households that spend 50% or more of their income on housing. States were classified on the basis of Medicaid expansion status (expanded, late-expanded, nonexpanded). Mortality-adjusted rate ratios were estimated by cancer type across severe housing cost burden quintiles. Compared with the lowest quintile of severe housing cost burden, counties in the highest quintile had a 5% greater cancer mortality rate (mortality-adjusted rate ratio = 1.05, 95% confidence interval = 1.01 to 1.08). Within each severe housing cost burden quintile, cancer mortality rates were greater in states that did not expand Medicaid, though this association was significant only in the fourth quintile (mortality-adjusted rate ratio = 1.08, 95% confidence interval = 1.03 to 1.13). Our findings demonstrate that counties with greater severe housing cost burden had higher premature cancer death rates, and rates are potentially greater in non-Medicaid-expanded states than Medicaid-expanded states.

Commentary: An Equitable Approach to Serving Structurally Marginalized Communities.

As the United States grapples with social injustices, greater attention is being placed on the historical lack of equity practices among health and social service organizations that serve marginalized and predominantly racially minoritized communities. We describe strategies health and social service organizations that partner with community-led organizations must take to ensure actionable equitable changes. The opportunity and promise are upon us to resolve health inequities and promote equity-oriented practices, policies, systems, and social-environmental changes.

Trends in Cancer Mortality Among Black Individuals in the US From 1999 to 2019.

Importance: Cancer is the second leading cause of mortality in the US. Despite national decreases in cancer mortality, Black individuals continue to have the highest cancer death rates. Objective: To examine national trends in cancer mortality from 1999 to 2019 among Black individuals by demographic characteristics and to compare cancer death rates in 2019 among Black individuals with rates in other racial and ethnic groups. Design, Setting, and Participants: This serial cross-sectional study used US national death certificate data obtained from the National Center for Health Statistics and included all cancer deaths among individuals aged 20 years or older from January 1999 to December 2019. Data were analyzed from June 2021 to January 2022. Exposures: Age, sex, and race and ethnicity. Main Outcomes and Measures: Trends in age-standardized mortality rates and average annual percent change (AAPC) in rates were estimated by cancer type, age, sex, and race and ethnicity. Results: From 1999 to 2019, 1 361 663 million deaths from cancer occurred among Black individuals. The overall cancer death rate significantly decreased among Black men (AAPC, -2.6%; 95% CI, -2.6% to -2.6%) and women (AAPC, -1.5%; 95% CI, -1.7% to -1.3%). Death rates decreased for most cancer types, with the greatest decreases observed for lung cancer among men (AAPC, -3.8%; 95% CI, -4.0% to -3.6%) and stomach cancer among women (AAPC, -3.4%; 95% CI, -3.6% to -3.2%). Lung cancer mortality also had the largest absolute decreases among men (-78.5 per 100 000 population) and women (-19.5 per 100 000 population). We observed a significant increase in deaths from liver cancer among men (AAPC, 3.8%; 95% CI, 3.0%-4.6%) and women (AAPC, 1.8%; 95% CI, 1.2%-2.3%) aged 65 to 79 years. There was also an increasing trend in uterus cancer mortality among women aged 35 to 49 years (2.9%; 95% CI, 2.3% to 2.6%), 50 to 64 years (2.3%; 95% CI, 2.0% to 2.6%), and 65 to 79 years (1.6%; 95% CI, 1.2% to 2.0%). In 2019, Black men and women had the highest cancer mortality rates compared with non-Hispanic American Indian/Alaska Native, Asian or Pacific Islander, and White individuals and Hispanic/Latino individuals. Conclusions and Relevance: In this cross-sectional study, there were substantial decreases in cancer death rates among Black individuals from 1999 to 2019, but higher cancer death rates among Black men and women compared with other racial and ethnic groups persisted in 2019. Targeted interventions appear to be needed to eliminate social inequalities that contribute to Black individuals having higher cancer mortality.

Association between preexisting mental illnesses and mortality among medicaid-insured women diagnosed with breast cancer.

BACKGROUND: We investigated the impact of preexisting mental illnesses on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer. METHODS: Data from the New York State Cancer Registry for 10,444 women diagnosed with breast cancer from 2004 to 2016 and aged <65 years at diagnosis were linked with Medicaid claims. Women were categorized as having depression or a severe mental illness (SMI) if they had at least three relevant diagnosis claims with at least one claim within three years prior to breast cancer diagnosis. SMI included schizophrenia, bipolar disorder, and other psychotic disorders. Estimated menopausal status was determined by age (premenopausal age <50; postmenopausal age ≥50). Hazard ratios (HR) and 95% confidence intervals (95%CI) were calculated with Cox proportional hazards regression, adjusting for potential confounders. RESULTS: Preexisting SMI was associated with greater all-cause (HR = 1.36; 95%CI 1.18, 1.57) and cancer-specific (HR = 1.21; 95%CI 1.03, 1.44) mortality compared to those with no mental illnesses. No association was observed between preexisting depression and mortality. Among racial/ethnic subgroups, the association between SMI and all-cause mortality was observed among non-Hispanic white (HR = 1.47; 95%CI 1.19, 1.83) and non-Hispanic Asian/Pacific Islander (HR = 2.59; 95% 1.15, 5.87) women. Additionally, mortality hazards were greatest among women with preexisting SMI that were postmenopausal (HR = 1.49; 95%CI 1.25, 1.78), obese (HR = 1.58; 95%CI 1.26, 1.98), and had documented tobacco use (HR = 1.42; 95%CI 1.13, 1.78). CONCLUSION: Women with preexisting SMI prior to breast cancer diagnosis have an elevated mortality hazard and should be monitored and treated by a coordinated cross-functional clinical team.

Impact of preexisting type 2 diabetes mellitus and antidiabetic drugs on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer.

BACKGROUND: We investigated the influence preexisting type 2 diabetes mellitus (T2DM) and antidiabetic drugs have on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer. METHODS: 9221 women aged <64 years diagnosed with breast cancer and reported to the New York State (NYS) Cancer Registry from 2004 to 2016 were linked with Medicaid claims. Preexisting T2DM was determined by three diagnosis claims for T2DM with at least one claim prior to breast cancer diagnosis and a prescription claim for an antidiabetic drug within three months following breast cancer diagnosis. Estimated menopausal status was determined by age (premenopausal age <50; postmenopausal age ≥50). Hazard ratios (HR) and 95 % confidence intervals (95 %CI) were calculated with Cox proportional hazards regression, adjusting for confounders. RESULTS: Women with preexisting T2DM had greater all-cause (HR = 1.40; 95 %CI 1.21, 1.63), cancer-specific (HR = 1.24; 95 %CI 1.04, 1.47), and cardiovascular-specific (HR = 2.46; 95 %CI 1.54, 3.90) mortality hazard compared to nondiabetic women. In subgroup analyses, the association between T2DM and all-cause mortality was found among non-Hispanic White (HR 1.78 95 %CI 1.38, 2.30) and postmenopausal (HR = 1.47; 95 %CI 1.23, 1.77) women, but not among other race/ethnicity groups or premenopausal women. Additionally, compared to women prescribed metformin, all-cause mortality hazard was elevated among women prescribed sulfonylurea (HR = 1.44; 95 %CI 1.06, 1.94) or insulin (HR = 1.54; 95 %CI 1.12, 2.11). CONCLUSION: Among Medicaid-insured women with breast cancer, those with preexisting T2DM have an increased mortality hazard, especially when prescribed sulfonylurea or insulin. Further research is warranted to determine the role antidiabetic drugs have on survival among women with breast cancer.

After the Storm: Short-term and Long-term Health Effects Following Superstorm Sandy among the Elderly.

OBJECTIVE: Investigate short- and long-term effects of Superstorm Sandy on multiple morbidities among the elderly. METHODS: We examined emergency department visits; outpatient visits; and hospital admissions for cardiovascular disease (CVD), respiratory disease, and injury among residents residing in 8 affected counties immediately, 4 months, and 12 months following Superstorm Sandy. Control groups were defined as visits/admissions during the identical time window in the 5 years before (2007-2011) and 1 year after (2013-2014) the storm in affected and nonaffected counties in New York. We performed Poisson regression to test whether there was an association of increased visits/admissions for periods following Superstorm Sandy while controlling for covariates. RESULTS: We found that the risk for CVD, respiratory disease, and injury visits/admissions was more than twice as high immediately, 4 months, and 12 months after the storm than it was in the control periods. Women were at greater risk at all time periods for CVD (risk ratio [RR], 2.04) and respiratory disease (RRs: 1.89 to 1.92). Whites had higher risk for CVD, respiratory disease, and injury than other racial groups during each period. CONCLUSION: We observed increases in CVD, respiratory disease, and injury up to a year following Superstorm Sandy. Findings demonstrate the need to incorporate short- and long-term health effects into public health recovery. (Disaster Med Public Health Preparedness. 2019;13:28-32).