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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]

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]

[Display omitted] Our understanding of the impact of long-term exposures to PM 2.5 constituents and sources on mortality is limited. To examine associations between long-term exposures to PM 2.5 constituents and sources and cause-specific mortality in US older adults. We obtained demographic and mortality data for 15.4 million Medicare beneficiaries living within the conterminous United States (US) between 2000 and 2008. We assessed PM 2.5 constituents exposures for each beneficiary and used factor analysis and residual-based methods to characterize PM 2.5 sources and mixtures, respectively. In age-, sex-, race- and site- stratified Cox proportional hazard models adjusted for neighborhood socio-economic status (SES), we assessed associations of individual PM 2.5 constituents, sources, and mixtures and cause-specific mortality and examined modification of these associations by participant demographics and location of residence. We assessed the robustness of our findings to additional adjustment for behavioral risk factors and to alternate exposure definitions and exposure windows. Hazard ratios (HR) were highest for all causes of death, except COPD, for PM 2.5 constituents and the coal combustion-related PM 2.5 components, with no evidence of confounding by behavioral covariates. We further found Pb and metal-related PM 2.5 components to be significantly associated with increased HR of all causes of death, except COPD and lung cancer mortality, and nitrate (NO 3 –) and silicon (Si) and associated source-related PM 2.5 components (traffic and soil, respectively) to be significantly associated with increased all-cause, CVD, respiratory and all cancer-related mortality HR. Associations for other examined constituents and mortality were inconsistent or largely null. Our analyses of mixtures were generally consistent with these findings. Mortality HRs were greatest for minority, especially Black, low-income urban, younger, and male beneficiaries. PM 2.5 components related to coal combustion, traffic, and to a lesser extent, soil were strongly associated with mortality from CVD, respiratory disease, and cancer. [ABSTRACT FROM AUTHOR]