2021
DOI: 10.1080/10408398.2021.1967872
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A narrative review of nutrient based indexes to assess diet quality and the proposed total nutrient index that reflects total dietary exposures

Abstract: 2021): A narrative review of nutrient based indexes to assess diet quality and the proposed total nutrient index that reflects total dietary exposures, Critical Reviews in Food Science and Nutrition,

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Cited by 18 publications
(14 citation statements)
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“…This study provides a foundation for future studies that could evaluate intake of micronutrient from popular diet patterns. Other tools are available to examine micronutrient intake, including indices that measure the intake of multiple nutrients collectively, such as total nutrient intake (TNI), mean probability of adequacy (MPA), and the Nutrient Rich Food Index 9.3 (NRF9.3) ( 42 , 43 ). Further research could apply these tools to popular diet patterns and could be used to gauge the extent of achievable improvement through modeled replacement with different foods.…”
Section: Discussionmentioning
confidence: 99%
“…This study provides a foundation for future studies that could evaluate intake of micronutrient from popular diet patterns. Other tools are available to examine micronutrient intake, including indices that measure the intake of multiple nutrients collectively, such as total nutrient intake (TNI), mean probability of adequacy (MPA), and the Nutrient Rich Food Index 9.3 (NRF9.3) ( 42 , 43 ). Further research could apply these tools to popular diet patterns and could be used to gauge the extent of achievable improvement through modeled replacement with different foods.…”
Section: Discussionmentioning
confidence: 99%
“…calculating the healthiest diet. As healthy diet indicators are often non-linear and based on partial scores of individual food components [ 23 , 41 , 42 ], the partial scores are piecewise linear functions. This implies that change of the partial score (slope) depends on the intake level.…”
Section: Methodsmentioning
confidence: 99%
“…This food record was analyzed for micro- and macronutrient intake using the ESHA Food Processor (Version 11.11, ESHA Research, Salem, OR, United States). The nutrient data from the 3-day food records were used to calculate the food nutrition index (FNI) 49 . The FNI evaluates usual micronutrient intakes from foods and beverages relative to the recommended dietary allowance (RDA) or adequate intake (AI) standards for eight underconsumed micronutrients: calcium, magnesium, potassium, folate, and vitamins A, C, D, and E. The percentage of each micronutrient relative to the RDA or AI was truncated at 100% with each micronutrient weighted equally.…”
Section: Methodsmentioning
confidence: 99%