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Simple Summary: The COVID-19 pandemic may have impacted cancer mortality rates by disrupting patient health behaviors and access to cancer care, as well as being directly affected by infection with SARS-CoV-2. There is limited population-based research that investigates the impact of the COVID-19 pandemic on cancer mortality in the United States. The aim of our retrospective study was to quantify the change in cancer mortality from before the COVID-19 pandemic to during the COVID-19 pandemic in Pennsylvania. We found that mortality rates did not continue their previous downward trajectory and twenty-six counties had an increase in the rate in 2020. The 2015–2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county. Our findings suggest a negative effect of the pandemic on cancer mortality in Pennsylvania and had a varied effect on its counties. Future research could confirm our findings, and if confirmed, may inform cancer research, care, and outreach. Background. We sought to quantify the impact of the COVID-19 pandemic on cancer mortality and identify associated factors in Pennsylvania. Methods. The retrospective study analyzed cross-sectional cancer mortality data from CDC WONDER for 2015 through 2020 for Pennsylvania and its 67 counties. The spatial distributions of 2019, 2020, and percentage change in age-adjusted mortality rates by county were analyzed via choropleth maps and spatial autocorrelation. A Wilcoxon Signed Rank Test was used to analyze whether the rates differed between 2019 and 2020. Quasi-Poisson and geographically weighted regression at the county level were used to assess the association between the 2019 rates, sex (percent female), race (percent non-White), ethnicity (percent Hispanic/Latino), rural–urban continuum codes, and socioeconomic status with the 2020 rates. Results. At the state level, the rate in 2020 did not reflect the declining annual trend (−2.7 per 100,000) in the rate since 2015. Twenty-six counties had an increase in the rate in 2020. Of the factors examined, the 2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county. Conclusions. In Pennsylvania, the 2020 cancer mortality rates did not decline as much as reported before the COVID-19 pandemic. The top five cancer types by rate were the same type for 2019 and 2020. Future cancer control efforts may need to address the impact of the COVID-19 pandemic on trends and geospatial distribution in cancer mortality. [ABSTRACT FROM AUTHOR]

Background: This study aimed to examine associations between haemoglobin A1c (HbA1c) levels over time and all-cause and cause-specific mortality in middle-aged and older Koreans. Methods: Using 16 years of follow-up data from the Korean Genome and Epidemiology Study, we analysed 9294 individuals aged 40–69 years with no history of cardiovascular disease (CVD) or cancer. Participants were divided into a known diabetes group and five groups categorized by HbA1c levels (< 5.0%, 5.0–5.4%, 5.5–5.9%, 6.0–6.4%, and ≥ 6.5%). Hazard ratios (HRs) for all-cause and cause-specific mortality associated with HbA1c levels were calculated using a conventional and a time-dependent Cox proportional hazards model. Restricted cubic spline models were fitted to investigate the relationship between continuous HbA1c levels and mortality among people without known diabetes. Subgroup analyses were performed for age, sex, smoking, hypertension, liver diseases, and red blood cell counts. Results: During a median follow-up period of 15.7 years, there were 944 deaths, including 185 deaths from CVD, 359 from cancer, and 125 from all external causes. Compared with participants with HbA1c levels of 5.5–5.9%, multivariate-adjusted HRs and 95% confidence intervals for all-cause death of participants with levels < 5.0%, 5.0–5.4%, 6.0–6.4%, and ≥ 6.5% and participants with known diabetes were 1.84 (1.35–2.51), 1.13 (0.95–1.34), 1.30 (1.04–1.62), 1.37 (0.97–1.93), and 2.03 (1.70–2.44), respectively. The risk of cancer mortality was significantly increased in HbA1c < 5.0% (HR, 2.21; 95% CI 1.42–3.44) and known diabetes (HR, 1.60; 95% CI 1.18–2.15). When we performed diverse subgroup analyses, low HbA1c levels at baseline were strongly associated with mortality in participants with liver diseases. Conclusions: We found U-shaped associations between HbA1c levels at baseline and over time and all-cause mortality in middle-aged and older Koreans. Additionally, the risk of cancer mortality increased both in low and high HbA1c groups, but CVD mortality increased only in high HbA1c group. In particular, people with liver diseases and low HbA1c levels had a high risk of all-cause mortality. Therefore, more careful management of these groups is suggested to identify any deteriorating health conditions. [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]

Background and aims: Various smoking behaviors, including smoking initiation, age of initiation, heaviness of smoking and smoking cessation, have been individually related to the risk of mortality; however, no study has assessed these smoking behaviors jointly in relation to mortality. Our study aimed to measure prospectively the association of panoramic smoking burden (PSB), generated from the four aforementioned smoking behaviors, with all‐cause and cause‐specific mortality, and measure whether such associations are modified by genetic variations. Design Prospective cohort study. Setting: UK Biobank. Participants: A total of 360 937 participants aged between 37 and 73 years were enrolled in 2006–10 and ‐followed‐up to 2018. Measurements The exposure was PSB, constructed based on four smoking behaviors including smoking initiation, age of initiation, heaviness of smoking and smoking cessation in a weighted method. A genetically determined PSB was also constructed with smoking‐associated single nucleotide polymorphisms (SNPs) and categorized into tertiles. The primary outcomes were all‐cause and cause‐specific mortality. Findings We identified 15 968 deaths [9022 from cancer and 5092 from cardiovascular disease (CVD)] over a median of 11.36 years' follow‐up. For all‐cause mortality, compared with participants with the PSB of zero, the hazard ratios of participants who had a PSB of one, two, three and four were 1.23 [95% confidence intervals (CI) = 1.18–1.29), 1.66 (95% CI = 1.59–1.75), 3.33 (95% CI = 3.17–3.51) and 5.76 (95% CI = 4.66–7.13), respectively. Among participants within each genetic risk category, low and intermediate PSB were associated with 45–58% reduced risk of all‐cause death compared with high PSB. Analysis of population‐attributable risk percentage indicated that 21.9, 19.1 and 24.7% of all‐cause‐, cancer‐ and CVD‐specific death could have been avoided if all ever smokers initiated smoking after age 18 years, smoked < 20 cigarettes/day and quit smoking. Conclusions: The panoramic smoking burden, based on smoking initiation, age of initiation, heaviness of smoking and smoking cessation, appears to be associated with all‐cause and cause‐specific mortality in a gradient manner with increasing panoramic smoking burden independent of other traditional and genetic risk factors. [ABSTRACT FROM AUTHOR]

Chocolate contains both potentially harmful components (ie, stearic acid and added sugar) and beneficial components (ie, phenolics and flavonoids). Despite its popularity, the long-term health effects of chocolate consumption remain unclear. The aim of this study was to examine the association of chocolate consumption with all-cause and cause-specific mortality. This was a prospective cohort study. This study included 84,709 postmenopausal women free of cardiovascular disease (CVD) and cancer at baseline in the observational study and clinical trials control arms of the prospective Women's Health Initiative cohort who were enrolled during 1993 through 1998. These women were followed through March 2018. The outcomes included all-cause mortality and cause-specific mortality from CVD, cancer, and dementia. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) of all-cause mortality and cause-specific mortality. During 1,608,856 person-years of follow-up (mean [SD] of 19.0 [4.2] years), 25,388 deaths occurred, including 7,069 deaths from CVD, 7,030 deaths from cancer, and 3,279 deaths from dementia. After adjustment for a variety of covariates, compared with no chocolate consumption, the HRs (95% CI) for all-cause mortality were 0.95 (0.92 to 0.98), 0.93 (0.89 to 0.96), 0.97 (0.90 to 1.04), and 0.90 (0.84 to 0.97) for <1 serving/wk, 1 to 3 servings/wk, 4 to 6 servings/wk, and ≥1 serving/d of chocolate consumption, respectively (P for trend =.02). For CVD mortality, compared with no chocolate consumption, the HRs (95% CI) were 0.96 (0.91 to 1.01), 0.88 (0.82 to 0.95), 1.06 (0.93 to 1.21), and 0.92 (0.80 to 1.05) for <1 serving/wk, 1 to 3servings/wk, 4 to 6 servings/wk, and ≥1 serving/d of chocolate consumption, respectively (P for trend =.45). For dementia mortality, compared with no chocolate consumption, the HRs (95% CI) were 0.91 (0.84 to 0.99), 0.89 (0.80 to 0.99), 0.97 (0.79 to 1.18), and 0.97 (0.80 to 1.18) for <1 serving/wk, 1 to 3 servings/wk, 4-6 servings/wk, and ≥1 serving/d of chocolate consumption, respectively (P for trend =.95). Chocolate consumption was not associated with cancer mortality. The results suggest a modest inverse association of chocolate consumption with mortality from all causes, CVD, or dementia, specifically for moderate chocolate consumption of 1 to 3 servings/wk. [ABSTRACT FROM AUTHOR]