Many cancer patients initiate dietary supplement use after cancer diagnosis. How dietary supplement use contributes to the total nutrient intake among cancer survivors as compared with individuals without cancer needs to be determined. We aimed to evaluate nutrient intakes from dietary supplements among cancer survivors in relation to their total nutrient intake and compare those with individuals without cancer. We evaluated the prevalence, dose, and reason for using dietary supplements among 2772 adult cancer survivors and 31,310 individuals without cancer who participated in the NHANES 2003-2016. Cancer survivors reported a higher prevalence of any (70.4% vs. 51.2%) and multivitamin/mineral (48.9% vs. 36.6%) supplement use and supplement use of 11 individual vitamins and 8 minerals than individuals without cancer. Overall, cancer survivors had significantly higher amounts of nutrient intake from supplements but lower nutrient intakes from foods for the majority of the nutrients. Compared with individuals without cancer, cancer survivors had a higher percentage of individuals with inadequate intake (total nutrient intake <Estimated Average Requirement or Adequate Intake) for folate, vitamin B-6, niacin, calcium, copper, and phosphorus, due to lower intakes of these nutrients from foods. Cancer survivors also had a higher proportion of individuals with excess intake (total nutrient intake ≥Tolerable Upper Intake Level) for vitamin D, vitamin B-6, niacin, calcium, magnesium, and zinc, contributed by higher intakes of these nutrients from dietary supplements. Nearly half (46.1%) used dietary supplements on their own without consulting health care providers. Cancer survivors reported a higher prevalence and dose of dietary supplement use but lower amounts of nutrient intake from foods than individuals without cancer. The inadequate nutrient intake from foods and the short-term and long-term health impact of dietary supplement use, especially at high doses, need to be further evaluated among cancer survivors.

The Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) research group was formed over a decade ago to improve the interpretation of micronutrient biomarkers in settings with inflammation. The BRINDA inflammation adjustment method uses regression correction to adjust for the confounding effects of inflammation on select micronutrient biomarkers and has provided important insights to micronutrient research, policy, and programming. However, users may face challenges when applying the BRINDA inflammation adjustment methods to their own data due to varying guidance on the adjustment approach for different biomarkers and the need to develop statistical programming to conduct these analyses. This may result in lost opportunities to have results of micronutrient data readily available during critical decision-making periods. Our research objectives are to 1) provide an all-in-one summary of the BRINDA method in adjusting multiple micronutrient biomarkers for inflammation, 2) evaluate whether malaria as a binary variable should be included in the BRINDA inflammation adjustment method, and 3) present standardized and user-friendly BRINDA adjustment R package and SAS macro. This paper serves as a practical guidebook for the BRINDA inflammation adjustment approach and aids users to use the BRINDA R package and SAS to streamline their analyses.

Children with moderate acute malnutrition (MAM) have an increased risk of mortality, infections and impaired physical and cognitive development compared to well-nourished children. In parts of Ethiopia not considered chronically food insecure there are no supplementary feeding programmes (SFPs) for treating MAM. The short-term outcomes of children who have MAM in such areas are not currently described, and there remains an urgent need for evidence-based policy recommendations. We defined MAM as mid-upper arm circumference (MUAC) of ≥11.0cm and <12.5cm with no bilateral pitting oedema to include Ethiopian government and World Health Organisation cut-offs. We prospectively surveyed 884 children aged 6–59 months living with MAM in a rural area of Ethiopia not eligible for a supplementary feeding programme. Weekly home visits were made for seven months (28 weeks), covering the end of peak malnutrition through to the post-harvest period (the most food secure window), collecting anthropometric, socio-demographic and food security data. By the end of the study follow up, 32.5% (287/884) remained with MAM, 9.3% (82/884) experienced at least one episode of SAM (MUAC <11cm and/or bilateral pitting oedema), and 0.9% (8/884) died. Only 54.2% of the children recovered with no episode of SAM by the end of the study. Of those who developed SAM half still had MAM at the end of the follow up period. The median (interquartile range) time to recovery was 9 (4–15) weeks. Children with the lowest MUAC at enrolment had a significantly higher risk of remaining with MAM and a lower chance of recovering. Children with MAM during the post-harvest season in an area not eligible for SFP experience an extremely high incidence of SAM and a low recovery rate. Not having a targeted nutrition-specific intervention to address MAM in this context places children with MAM at excessive risk of adverse outcomes. Further preventive and curative approaches should urgently be considered.

Data from the 2007–2008 National Health and Nutrition Examination Survey (NHANES) suggested that nearly half of U.S. adults aged 20 to 69 reported taking at least one dietary supplement in the past month. Logistic regression showed that the following factors were independently associated with a greater likelihood of supplement use: being female, older, white, having higher level of education, non-SNAP participation, and living in a food-secure household. To compare nutrient intakes between supplement users and non-supplement users, daily intakes of eight nutrients were examined. When considering nutrients from food, supplement users tended to consume greater amounts of vitamin A, vitamin C, vitamin E, folic acid, calcium, and iron; meanwhile there was no association between supplement use and daily intakes of vitamin B12 and zinc from food sources only. Including nutrients from daily supplement use, supplement users consumed greater amounts of all eight nutrients.

Information on long-term dietary intake is often required for research or program planning, but surveys routinely use short-term assessments such as 24-h recalls (24HRs). Methods to reduce the impact of within-person variation in 24HRs, such as the National Cancer Institute (NCI) method, typically require extensive training and skill. We introduce the Simulating Intake of Micronutrients for Policy Learning and Engagement (SIMPLE) macro, a new tool to increase the accessibility of 24HR analysis. We explain the underlying theory behind the tool and provide examples of potential applications. The SIMPLE macro connects the core NCI statistical code to estimate usual intake distributions and includes additional code to enable advanced analyses such as predictive modeling. The related SIMPLE-Iron macro applies the full probability method to estimate inadequate iron intake, and the SIMPLE-1D macro is used for descriptive or modeling analyses of data with a single 24HR per person. The macros and associated documentations are freely available. We analyzed data from the US National Health and Nutrition Examination Survey (NHANES) and the Cameroon National Micronutrient Survey to compare the SIMPLE macro to 1) the core NCI code using the Estimated Average Requirement cut point method, and 2) the IMAPP software for iron only, and to demonstrate the applications of the SIMPLE macro for estimating usual intake and predictive modeling. The SIMPLE macro generates identical results to the core NCI code. The SIMPLE-Iron macro also produces estimates of inadequate iron intake comparable to the IMAPP software. The examples demonstrate application of the SIMPLE macro to 1) descriptive analyses of nutrient intake from food and supplements (NHANES), and 2) analyses accounting for breast-milk nutrient intake and modeling fortification and supplementation programs (Cameroon). The SIMPLE macros may facilitate the analysis and modeling of dietary data to inform nutrition research, programs, and policy.

Improving nutritional status during pregnancy is a global interest. Frequently, women either fail to meet or exceed nutrient recommendations. Current strategies to improve maternal nutrition focuses on a “one-size-fits-all” approach and fail to consider individual factors that affect the mother's overall nutritional status. The objectives of this review were to determine the importance of key nutrients for optimal maternal and fetal health, to explore to what extent current recommendations consider individual factors, and to explore novel strategies to close the gap between current guidelines and real-world challenges through more personalized approaches. This review intercalated different nutritional guidelines and recent scientific publications and research initiatives related to maternal nutrition. Based on that, an overview of current recommendations, challenges related to present approaches, and perspectives for future directions are described. Current guidelines are not optimally supporting adequate nutrient intake and health of expectant mothers and their offspring. Existing recommendations are not consistent and do not sufficiently take into account how interindividual variation leads to differences in nutrient status. Personalized nutrition offers women the opportunity to improve their health by using strategies that are tailored to their unique nutritional needs. Such strategies can include personalized supplementation, holistic lifestyle interventions, digital and application-based technologies, and dietary assessment through blood biomarker and genetic analysis. However, these approaches warrant further investigation and optimization. More personalized approaches have the potential to optimize mothers’ and their offspring's health outcomes more appropriate to their nutritional needs before, during, and after pregnancy. Moving away from a generalized “one-size-fits-all” approach can be achieved through a variety of means. Future aims should be to provide supporting evidence to create customized subpopulation-based or individualized recommendations, improve nutrition education, and develop novel approaches to improve adherence to dietary and lifestyle interventions.