ArticleThe Journal of nutrition2022
Advanced Dietary Analysis and Modeling: A Deep Dive into the National Cancer Institute Method.
Article in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Adherence to the Nordic food-based dietary guidelines in subgroups of the Finnish adult population.Food & nutrition research · 2026Article
- Pulse Consumption and Metabolic Syndrome: Findings from the Hispanic Community Health Study/Study of Latinos.Nutrients · 2025Article
- Estimated human intake of endogenous and exogenous hormones from beef in the United States.Journal of exposure science & environmental epidemiology · 2025Article
- Trends in Reported Calcium and Magnesium Intake from Diet and Supplements by Demographic Factors: National Health and Nutrition Examination Survey, 2003-2018.Journal of the Academy of Nutrition and Dietetics · 2024Article
- Energy-Dense and Low-Fiber Dietary Pattern May Be a Key Contributor to the Rising Obesity Rates in Brazil.International journal of environmental research and public health · 2024Article
- Associations of fish and meat intake with iron and anaemia in Malawian children.Maternal & child nutrition · 2024Article
- Association of Tree Nut Consumption with Cardiovascular Disease and Cardiometabolic Risk Factors and Health Outcomes in US Adults: NHANES 2011-2018.Current developments in nutrition · 2023Article
- Dietary vitamin A intakes of chinese children with adequate liver stores as assessed by the retinol isotope dilution technique.BMC pediatrics · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe National Cancer Institute (NCI) method has been used widely by researchers to make inferences about usual dietary intake distributions of foods and nutrients based on a limited number of 24-h dietary recalls (24-HRs). Although the NCI method does not provide individual estimates of usual intake, it can be used to address many research questions, including modeling effects of nutrition interventions on population distributions of usual intake. Software for implementing the NCI method, and corresponding code examples, is publicly available in the form of SAS macros but little formal guidance exists for conducting advanced analyses.
objectivesWe aim to present advanced techniques for working with NCI macros to conduct both basic and advanced dietary analyses and modeling.
methodWe first present the 3 basic building blocks of analyses using the NCI method: 1) data set preparation, 2) application of the MIXTRAN macro to estimate parameters of the usual intake distribution, including effects of covariates, after transformation of 24-HRs to approximate normality, and 3) application of the DISTRIB macro to estimate the distribution of usual nutrient intake. Then, we illustrate how researchers can employ these building blocks to answer questions beyond typical descriptive analyses.
resultsResearchers can adapt the building blocks to: 1) account for factors such as demographic changes or nutrition interventions such as food fortification, 2) estimate the prevalence of dietary inadequacy via the full probability method, 3) incorporate nutrient intake from sources not always captured by 24-HRs, such as dietary supplements and human milk, and 4) carry out multiple subgroup analyses. This article describes the theoretical basis and operational guidance for these techniques.
conclusionWith this article as a detailed resource, researchers can leverage the basic NCI building blocks to investigate a wide range of questions about usual dietary intake distribution.
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