Search

Background Cardiovascular and cancer mortality are the two leading causes of death in the developed world including the USA. However, mortality trends for these diseases are highly dynamic, and the geographic landscape is in transition. We analyze patterns of mortality improvement at county level during recent decades focusing on mortality decline and geographic diversity. Methods We grouped age-adjusted mortality rates of cardiovascular and cancer diseases from CDC WONDER for 2959 US counties into 3-year time periods to improve reliability. We calculated percent mortality decrease between 1981–83 and 2016–19 for both causes to quantify mortality improvements for counties. Results Using standard deviation as an index of disparities, place-based cancer mortalities were 68% larger than cardiovascular disparities. Significantly, 566 US counties had same or higher rates of cancer mortality in 2019 as in 1981. The geographic distribution of mortality improvement in either cause tends to favor largely populated areas along coasts. Less-populated, rural places in the interior and southeastern regions were experiencing less improvement. Conclusions At the county level, large place-based disparities exist for both causes of death with the magnitude of disparities being substantially larger for the reduction in cancer deaths. Put differently, place matters, more for cancer than cardiovascular mortality. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to investigate the relationship between overall nutritional status and cancer mortality. Methods: A total of 12 262 US adults from six consecutive surveys of the National Health and Nutrition Examination Survey (NHANES 2003–2014) were analyzed. The overall health nutritional biomarkers index (HNBI) score, capturing characteristics of 17 biomarkers was developed to assess the overall nutritional status. The lower the HNBI score, the healthier nutritional status would be. Hazard ratio (HR) and 95% confidence intervals (95% CIs) were calculated by Cox proportional hazards regression models to evaluate the association between the HNBI score and cancer mortality. Results: The lower overall HNBI score was associated with decreased risk of cancer mortality, compared with participants in the 4th quartile of overall HNBI score, the HR (95% CIs) for participants in the 1st quartiles was 0.54 (0.33–0.89) (P-trend = 0.019). Healthier lifestyle habits and not obesity interacted with HNBI score, compared with participants with higher HNBI score and smoking currently/not exercising regularly/obesity, participants with lower HNBI score and not smoking currently/exercising regularly/not obesity were associated with lower risk of cancer mortality, the HR (95% CIs) were 0.43 (0.26–0.73), 0.57 (0.33–0.97), and 0.62 (0.47–0.97), respectively. These significant associations remained among participants who were followed-up more than 2 years. Conclusion: Our findings suggested that healthier overall nutritional status was associated with lower risk of cancer mortality among US adults. Not smoking, exercise regularly and not obesity interacted with overall nutritional status. Adherence to better overall nutritional status, lifestyle habits and optimal weight would prevent premature death from cancer. [ABSTRACT FROM AUTHOR]

Health insurance availability and affordability are vital elements in diagnosis and treatment of patients with cancer and thus constitute clinical significance as well. Although past studies have explored the disparity in mortality figures for patients with different insurance statuses, this population-based study is pioneering in analyzing the changes in cancer mortality risks over time amid macroeconomic shifts. The study uses Surveillance Epidemiology and End Results (SEER) data of 424,889 non-elderly patients with breast, cervical, ovarian, and uterine cancer diagnosed during 2007–2010 and 2011–2015. In addition to discussing incidence figures and insurance patterns, the study uses Kaplan-Meier and Cox's proportional hazard models to examine the changes in survival probability and mortality risks for insurance-stratified patients with female-specific cancer across the two time periods. Patients without insurance have an increased risk of mortality over time relative to insured patients. Moreover, uninsured patients face this heightened risk more than Medicaid patients. Despite public policy measures as well as advancements in diagnostic facilities and treatment technology, the increased relative mortality of patients without insurance limits the long-term affordability of cancer treatment for economically vulnerable patients in comparison with insured patients. • Recession caused lower ratio of insured patients, limiting treatment affordability. • Patients with cancer without insurance have higher relative mortality risk than before. • Uninsured patients face the heightened risk more than Medicaid-covered patients. • Over time, mortality gap between patients with and without insurance has widened. [ABSTRACT FROM AUTHOR]

Low neighborhood socioeconomic status has been linked to adverse health outcomes. However, it is unclear whether changing the neighborhood may influence health. We examined 10-year change in neighborhood socioeconomic deprivation in relation to mortality rate among 288,555 participants aged 51–70 years who enrolled in the National Institutes of Health-AARP Diet and Health Study in 1995–1996 (baseline) and did not move during the study. Changes in neighborhood socioeconomic deprivation between 1990 and 2000 were measured by US Census data at the census tract level. All-cause, cardiovascular disease, and cancer deaths were ascertained through annual linkage to the Social Security Administration Death Master File between 2000 and 2011. Overall, our results suggested that improvement in neighborhood socioeconomic status was associated with a lower mortality rate, while deterioration was associated with a higher mortality rate. More specially, a 30-percentile-point reduction in neighborhood deprivation among more deprived neighborhoods was associated with 11% and 19% reductions in the total mortality rate among men and women, respectively. On the other hand, a 30-point increase in neighborhood deprivation in less deprived neighborhoods was associated with an 11% increase in the mortality rate among men. Our findings support a longitudinal association between changing neighborhood conditions and mortality. [ABSTRACT FROM AUTHOR]

We studied the associations of leukocyte telomere length (LTL) with all-cause, cardiovascular disease, and cancer mortality in 12,199 adults participating in 2 population-based prospective cohort studies from Europe (ESTHER) and the United States (Nurses' Health Study). Blood samples were collected in 1989-1990 (Nurses' Health Study) and 2000-2002 (ESTHER). LTL was measured by quantitative polymerase chain reaction. We calculated z scores for LTL to standardize LTL measurements across the cohorts. Cox proportional hazards regression models were used to calculate relative mortality according to continuous levels and quintiles of LTLz scores. The hazard ratios obtained from each cohort were subsequently pooled by meta-analysis. Overall, 2,882 deaths were recorded during follow-up (Nurses' Health Study, 1989-2010; ESTHER, 2000-2015). LTL was inversely associated with age in both cohorts. After adjustment for age, a significant inverse trend of LTL with all-cause mortality was observed in both cohorts. In random-effects meta-analysis, age-adjusted hazard ratios for the shortest LTL quintile compared with the longest were 1.23 (95% confidence interval (CI): 1.04,1.46) for all-cause mortality, 1.29 (95% CI: 0.83, 2.00) for cardiovascular mortality, and 1.10 (95% CI: 0.88, 1.37) for cancer mortality. In this study population with an age range of 43-75 years, we corroborated previous evidence suggesting that LTL predicts all-cause mortality beyond its association with age. [ABSTRACT FROM AUTHOR]

Background: A small change in tea consumption at population level could have large impact on public health. However, the health benefits of tea intake among Americans are inconclusive. Objective: To evaluate the association between tea consumption and all-causes, cardiovascular disease (CVD) and cancer mortality in the Aerobics Center Longitudinal study (ACLS). Methods: 11808 participants (20-82 years) initially free of CVD and cancers enrolled in the ACLS and were followed for mortality. Participants provided baseline self-report of tea consumption (cups/day). During a median follow-up of 16 years, 842 participants died. Of others, 250 died from CVD, and 345 died from cancer, respectively. A Cox proportional hazard model was used to produce hazard ratio (HR) and 95% confidence interval (CI). Results: Compared with participants consuming no tea, tea drinkers had a survival advantage ( Log-2 = 10.2, df = 3, P = 0.017); however, the multivariate hazard ratios (HRs) of all-cause mortality for those drinking 1–7, 8–14, and >14 cups/week were 0.95 (95% CI, 0.81–1.12), 1.00 (95% CI, 0.82–1.22), and 0.98 (95% CI, 0.76–1.25), respectively (P for linear trend = 0.83). The multivariate HR were 1.16 (95% CI, 0.86–1.56), 1.22 (95% CI, 0.85–1.76), and 0.94 (95% CI, 0.56–1.54) for CVD mortality (P for linear trend = 0.47), and 0.97 (95% CI, 0.75–1.25), 0.85 (95% CI, 0.60–1.16), and 0.94 (95% CI, 0.64–1.38) for cancer mortality (P for trend = 0.62). Conclusions: There were week or null relationships between tea consumption and mortality due to all-cause, CVD disease or cancer were observed in ACLS. [ABSTRACT FROM PUBLISHER]

Background: Adults in the United States (U.S) can be simultaneously exposed to more than one social risk factor over their lifetime. However, cancer epidemiology tends to focus on single social risk factors at a time. We examined the prospective association between cumulative social risk exposure and deaths from cancer in a nationally representative sample of U.S. adults.Methods: The study included 8745 adults (aged≥40 years) in the NHANES Survey III Mortality Study over a median follow-up of 13.5 years (1988-1994 enrollment dates and 1988 through 2006 for mortality data). Social risk factors (low family income, low education level, minority race, and single-living status) were summed to create a cumulative social risk score (0 to ≥3). We used Cox proportional hazard models to estimate age- and sex-adjusted hazard ratios (HRs) and 95% confidence intervals (95% CI) for the association between cumulative social risk with deaths from all-cancers combined, tobacco-related cancers, and screening-detectable cancers.Results: Deaths from all-cancers combined (P for trend=0.001), tobacco-related cancers (P for trend=<0.001), and lung cancer (P for trend=0.01) increased with an increasing number of social risk factors. As compared with adults with no social risk factors, those exposed to ≥3 social risk factors were at increased risk of deaths from all-cancers combined (HR=1.8, 95% CI=1.3-2.4), tobacco-related cancers (HR=2.6, 95% CI: 1.6-4.0), and lung cancer (HR=2.3, 95% CI=1.3-4.1).Conclusions: U.S. adults confronted by higher amounts of cumulative social risk appear to have increased mortality from all-cancers combined, tobacco-related cancers, and lung cancer. An enhanced understanding of the cumulative effect of social risk factors may be important for targeting interventions to address social disparities in cancer mortality. [ABSTRACT FROM AUTHOR]

Objective: The lack of health insurance reduces access to care and often results in poorer health outcomes. The present study simultaneously assessed the effects of health insurance on cancer and chronic disease mortality, as well as the inter-relationships with diet, obesity, smoking, and inflammatory biomarkers. We hypothesized that public/no insurance versus private insurance would result in increased cancer/chronic disease mortality due to the increased prevalence of inflammation-related lifestyle factors in the underinsured population.Methods: Data from the Third National Health and Nutrition Examination Survey participants (NHANES III;1988-1994) were prospectively examined to assess the effects of public/no insurance versus private insurance and inflammation-related lifestyle factors on mortality risk from cancer, all causes, cardiovascular disease (CVD) and diabetes. Cox proportional hazards regression was performed to assess these relationships.Results: Multivariate regression analyses revealed substantially greater risks of mortality ranging from 35% to 245% for public/no insurance versus private insurance for cancer (HR=1.35; 95% CI=1.09,1.66), all causes (HR=1.54; 95% CI=1.39,1.70), CVD (HR=1.62; 95% CI=1.38,1.90) and diabetes (HR=2.45; 95% CI=1.45,4.14). Elevated CRP, smoking, reduced diet quality and higher BMI were more prevalent in those with public insurance, and were also associated with increased risks of cancer/chronic disease mortality.Discussion: Insurance status was strongly associated with cancer/chronic disease mortality after adjusting for lifestyle factors. The results suggest that inadequate health insurance coverage results in a substantially greater need for preventive strategies that focus on tobacco control, obesity, and improved dietary quality. These efforts should be incorporated into comprehensive insurance coverage programs for all Americans. [ABSTRACT FROM AUTHOR]

Aim Although obesity is an established risk factor for cancer mortality among women, little is known about how body mass index ( BMI) is interacting with certain lifestyle behaviors and sociodemographic characteristics to increase the risk of cancer mortality. The purpose of this study was to use classification trees to examine possible interactions between BMI, smoking, age, poverty level and marital status in identifying high-risk subgroups for all-cause cancer mortality in women. Material and Methods Data from the US National Health Interview Survey linked with the National Death Index from 1990-2004 were used in this study. The data were restricted to women with complete information on all risk factors considered in the analyses. The data were analyzed using descriptive statistics and classification trees. Results Findings revealed that younger women (41-50 years old) who smoked had higher cancer mortality if they were underweight. Even among 51-60-year-old never smokers, we observed an inverse relationship between BMI and mortality. High BMI, however, was not a protective factor in 51-60-year-old women who were not married and did not smoke. Conclusion Classification tree analysis confirms and extends current knowledge about the role of BMI and smoking on cancer mortality by providing preliminary risk profiles. The findings indicate that it is imperative for cancer-related studies to examine BMI and smoking within age-specific groups and in the context of several sociodemographic factors that are known to independently affect cancer mortality. [ABSTRACT FROM AUTHOR]

Although malignant tumors occur at all ages, cancer dispro- portionately strikes individuals in the age group 65 years and older. Data from the National Cancer Institute Surveil- lance, Epidemiology, and End Results Program for the most recent five-year period, 1998-2002, reveal that 56% of all newly diagnosed cancer patients and 71% of cancer deaths are in this age group. Median ages of cancer patients at death for the major tumors common to both males and fe- males, all races (lung, colorectal, lymphoma, leukemia, pan- creas, stomach, urinary bladder) range from 71 to 77 years. The median age for prostate cancer is 79 years; for ovarian and female breast cancer, the median age is 71 for each tumor. These cancer statistics when cast against the demo- graphic changes occurring in the U.S. population take on ur- gency and importance for cancer treatment and care in our nation's health care system. The U.S. Census Bureau dem- ographic projections indicate that the number of persons 65 years and older in the United States will double from the cur- rent estimate of 35 million persons to a projected 70 million by 2030. Barring any cancer prevention breakthroughs, the expansion of the aged population will likely increase the ab- solute number of older individuals diagnosed and treated for cancer in coming decades. The United States is not unique as an aging developed industrial nation with a high proportion of the cancer burden in the elderly. Other developed industrial countries have a potentiality for increased cancer incidence and mortality as their populations grow older. This paper, using U.S. Bureau of Census demographic projections and current age stan- dardized death rates per 100,000 population (from World- wide Cancer Mortality Statistics, Cancer Mondial, WHO, and the International Association for Research on Cancer) com- pares cancer in the elderly in Italy and the United States. Italy is demographically ranked as the oldest nation in the world. Dimensions of the cancer burden challenge ahead are inferred in the context of two countries with aging popu- lations to underscore the possible increase that demo- graphic factors may have on the magnitude of the cancer problem for older persons in the next 25 years. (Cancer J [ABSTRACT FROM AUTHOR]