Application of the Updated WCRF/AICR Cancer Prevention Score as an Outcome for Cancer Survivors Participating in a Tailored and Intensive Dietary and Physical Activity Intervention.

The World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) has defined evidence-based guidelines for cancer prevention. These recommendations have been operationalized into a quantitative index for individual assessment. Survivors of cancer are increasingly desiring guidance for diet and lifestyle, and in the absence of research in survivors, are often instructed to follow cancer prevention and public health guidelines. In this study, we examine the utility of the quantitative updated WCRF/AICR scoring criteria to assess change among cancer survivors with overweight/obesity (OW/OB) following an intensive behavioral intervention. We applied the WCRF/AICR scoring criteria (range 0−7) to examine changes over the duration of the study by paired t-tests. Two cancer survivor cohorts with OW/OB (n = 91) completed a six-month phase II clinical trial designed to improve dietary and physical activity patterns. At enrollment and post-intervention, participants completed assessments including anthropometrics, food frequency questionnaires, and objective evaluation of physical activity. Participants improved adherence to all scored recommendations, with a significant increase in mean score from enrollment (3.22 ± 1.06) to post-intervention (4.28 ± 1.04) (p < 0.001). Mean BMI and waist circumference improved (both p < 0.001). The greatest improvements were noted for fruit and non-starchy vegetable intakes (+39%, p < 0.001); the greatest decreases were observed for processed meat consumption (−70%, p < 0.001). The updated WCRF/AICR Score can be applied to cancer survivor intervention studies and provides a tool to compare trials in regard to the baseline status of populations enrolled and the success of the intervention. Future interventions incorporating standardized assessments will help guide effective strategies to improve the health and quality of life for cancer survivors.

Monitoring Rates of Malnutrition Risk in Outpatient Cancer Centers Utilizing the Malnutrition Screening Tool Embedded into the Electronic Health Record.

BACKGROUND: The risk of malnutrition in patients with cancer is well documented. However, screening to identify patients at risk in ambulatory cancer centers is not standardized nor uniform. The 2-question Malnutrition Screening Tool (MST) is validated in the ambulatory oncology setting and endorsed by the Academy of Nutrition and Dietetics. OBJECTIVE: To test the feasibility of operationalizing and standardizing malnutrition risk assessment across 2 large ambulatory cancer centers by embedding the MST into the electronic health record (EHR) with the goal of identifying and quantifying the prevalence of malnutrition risk in outpatient settings. DESIGN: A Quality Assurance Performance Improvement project was conducted to evaluate malnutrition screening practices by leveraging the EHR. Work standards were developed, implemented, and evaluated to assess the feasibility of utilizing de-identified MST data, entered as discrete variables in an EHR flowsheet, to track monthly MST completion rates and to identify and quantify patients being treated for cancer scoring at risk for impaired nutritional status. PARTICIPANTS/SETTING: Data from 2 large adult ambulatory community cancer centers in the upper Midwest were collected between April 2017 and December 2018. RESULTS: Over a 20-month period, the average monthly MST completion rate was 74%. Of those with completed MST screens, the average percentage of patients identified at nutritional risk (MST score ≥2) was 5% in medical oncology and 12% in radiation oncology. CONCLUSION: It is feasible to (1) integrate and standardize data collection of the MST into existing EHR flowsheets and (2) identify and quantify patients at risk for malnutrition on a consistent basis.

Utilization of Current Diagnostic Indicators to Characterize Pediatric Undernutrition among US Children.

The purpose of this study was to estimate the prevalence of pediatric undernutrition in the US general population using the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition consensus statement on identification of pediatric malnutrition (undernutrition). National Health and Nutrition Examination Survey (NHANES) data for years 2005-2014 was analyzed for children ages 1-13 years (n = 13,950) with valid anthropometric data. The prevalence of undernutrition was assessed through z-scores for weight-for-height, body mass index (BMI)-for-age, height-for-age, and mid-upper-arm circumference-for-age generated from the 2000 Centers for Disease Control and Prevention growth charts. Children were stratified into: no undernutrition, mild undernutrition, and moderate or severe undernutrition. Descriptive statistics were used to identify the prevalence of undernutrition. Differences in Z-scores across growth chart metrics were compared across undernutrition categories using analysis of variance. The total prevalence of pediatric undernutrition in this sample was 0.4% (severe undernutrition), 2.0% (moderate undernutrition), and 10.9% (mild undernutrition) for all ages. Z-scores differed significantly across all levels of undernutrition for all anthropometrics, showing poorer mean growth metrics in those with undernutrition. Pediatric undernutrition is a prevalent condition that transcends the prior focus on <5th percentile of growth curves and impacts children across different demographic categories.

Lack of private health insurance is associated with higher mortality from cancer and other chronic diseases, poor diet quality, and inflammatory biomarkers in the United States.

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.