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Principal Investigator: REGAN BAILEY
Organization: TEXAS A&M AGRILIFE RESEARCH
Fiscal Year: 2024
Award: $281,646
Funding agency: National Cancer Institute
PROJECT SUMMARY
Dietary indices and scores provide a comprehensive and robust approach for nutritional exposure assessment,
especially in relation to chronic disease risk. While dietary supplement (DS) use is very common among the
U.S. population, with over 52% of adults and 33% of children routinely taking one or more (predominantly
nutrient containing) products, no existing metrics assessed intakes from DS in addition to those from the diet.
For this reason, we developed the Total Nutrient Index (TNI), a measure designed to evaluate total usual
micronutrient intakes, inclusive of intakes from foods and DS, relative to the Dietary Reference Intakes for
eight micronutrients identified as under consumed among the U.S. population by the 2015-2020 Dietary
Guidelines for Americans (DGA) in the first period of this award. We examined the relative validity of the TNI
compared to biomarkers of nutritional status among a nationally representative sample of U.S. adults and
determined that 1) the TNI is a useful metric for total micronutrient exposure assessment, and 2) that the TNI
yielded higher correlations with nutritional biomarkers when compared with those obtained from dietary intake
alone. However, with the emergence of the precision nutrition era, understanding how unique combinations of
nutrients and specific amounts of these nutrients can optimize the nutritional and health status of different
population subgroups is of utmost importance. Accordingly, in the present competing continuation proposal, we
intend to update the TNI to accommodate a life stage approach, to utilize machine learning techniques to
identify critical nutrients and in what combinations optimally benefit the health and nutrition of individuals
across the life course, and relate the TNI to risk factors, health outcomes, and mortality. In Aim 1, we plan to
develop and validate the TNI-2, an updated extension of the TNI that is tailored to different life stages and
includes nutrients and food components of
Terms: <0-11 years old><21+ years old><Address><Adherence><Adult><Adult Human><Agreement><American><Award><Bioavailability><Biological Availability><Biological Markers><Blood Pressure><Body Composition><Child><Child Youth><Children (0-21)><Chronic Disease><Chronic Illness><Clinical><Consumption><Data><Development><Diet><Dietary Component><Dietary intake><Disease><Disorder><Eating><Exposure to><Food><Food Intake><Food Supplements><Future><Health><Health Benefit><Health Promotion><Health Status><Healthy Eating><Human><Individual><Infant><Inflammation><Intake><Investigators><Lactation><Level of Health><Life><Life Cycle><Life Cycle Stages><Literature><Machine Learning><Markov Chains><Markov Process><Measures><Methods><Micronutrients><Minerals><Modeling><Modern Man><Monitor><Morbidity><Morbidity - disease rate><NHANES><NIH><National Health and Nutrition Examination Survey><National Institutes of Health><Nutrient><Nutritional><Nutritional status><Outcome><Pattern><Physiologic Availability><Population><Predicting Risk><Public Health><Research><Research Personnel><Researchers><Risk><Risk Factors><Salutogenesis><Sampling><Scientific Advances and Accomplishments><Scientist><Source><Subgroup><Surrogate Markers><System><Techniques><United States National Institutes of Health><Update><Vitamins><Woman><adulthood><bio-markers><bioactive food component><biologic marker><biomarker><bone><chronic disorder><cohort><death risk><design><designing><developmental><diet supplement><dietary><dietary guidelines><dietary supplements><diets><disease prevention><disease risk><disorder prevention><disorder risk><forecasting risk><health level><improved><indexing><innovate><innovation><innovative><kids><lactating><lactational><life course><machine based learning><mortality><mortality risk><novel><nutrition><nutritional approach><nutritional supplement><nutritious><older adult><older adulthood><precision nutrition><predict risk><predict risks><predicted risk><predicted risks><predicting risks><predictive risk><predicts risk><pregnant><promoting health><public health relevance><risk prediction><risk predictions><scientific accomplishments><scientific advances><surrogate bio-markers><surrogate biomarkers><youngster>