The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16
<b>Background:</b> Hybrid nutrient density scores are based on both nutrients and selected food groups. <b>Objective:</b> To compare the new hybrid nutrient-rich food NRFh 4:3:3 score to other nutrient-rich food (NRF) scores, energy density, and energy cost and to model the i...
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| Format: | Article |
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MDPI AG
2021-05-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/13/5/1734 |
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| author | Adam Drewnowski Jessica Smith Victor L. Fulgoni |
| author_facet | Adam Drewnowski Jessica Smith Victor L. Fulgoni |
| author_sort | Adam Drewnowski |
| collection | DOAJ |
| description | <b>Background:</b> Hybrid nutrient density scores are based on both nutrients and selected food groups. <b>Objective:</b> To compare the new hybrid nutrient-rich food NRFh 4:3:3 score to other nutrient-rich food (NRF) scores, energy density, and energy cost and to model the impact on the Healthy Eating Index (HEI-2015) of partially replacing less nutrient-rich with more nutrient-rich foods. <b>Methods:</b> Analyses were based on 5870 foods and beverages in the Food and Nutrient Database for Dietary Studies and on 24 h dietary recalls from the National Health and Nutrition Examination Survey (NHANES 2013–16). The NRFh 4:3:3 model was based on four nutrients to encourage (protein fiber, potassium, MUFA + PUFA); three food groups to encourage (dairy, fruit, whole grains); and three nutrients to limit (saturated fat, added sugar, sodium). Ratings generated by NRFh 4:3:3 and by other NRF models were correlated with score components, energy density (kcal/100 g), and energy cost (USD/100 kcal). The impact on HEI-2015 of replacing foods in the lowest nutrient density tertile (T1) with top tertile (T3) foods at 10%, 20%, 30%, and 100% equicaloric replacement was modeled using NHANES 2013–16 dietary data by population subgroups. <b>Results:</b> The NRFh 4:3:3 model awarded higher scores to foods containing dairy, fruit, and whole grains and proportionately lower scores to vegetables when compared to the NRF 9.3 model. Higher NRF and NRFh nutrient density scores were linked to lower energy density and higher energy cost; however, both correlations were lower for the NRFh 4:3:3. Isocaloric replacement of bottom tertile with top tertile foods as rated by both models led to significantly higher HEI-2105 values, based on complete (100%) and on partial (10–30%) replacement. <b>Conclusion:</b> The new NRFh 4:3:3 model provides the basis for developing new metrics of affordable nutrient density. The model identified “best value” food categories that were both affordable and nutrient-rich. Total and partial replacement of low nutrient density with high nutrient density foods was associated with higher HEI-2015 scores, suggesting that even partial inclusion of more nutrient dense foods in the diet may have an important impact on total diet quality. |
| first_indexed | 2024-03-10T11:14:40Z |
| format | Article |
| id | doaj.art-e76335dd61ea4753be5bb92470474ca0 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T11:14:40Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
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| series | Nutrients |
| spelling | doaj.art-e76335dd61ea4753be5bb92470474ca02023-11-21T20:32:49ZengMDPI AGNutrients2072-66432021-05-01135173410.3390/nu13051734The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16Adam Drewnowski0Jessica Smith1Victor L. Fulgoni2Center for Public Health Nutrition, University of Washington, Box 353410, Seattle, WA 98195, USAGeneral Mills Scientific and Regulatory Affairs, Minneapolis, MN 55426, USANutrition Impact LLC, Battle Creek, MI 49014, USA<b>Background:</b> Hybrid nutrient density scores are based on both nutrients and selected food groups. <b>Objective:</b> To compare the new hybrid nutrient-rich food NRFh 4:3:3 score to other nutrient-rich food (NRF) scores, energy density, and energy cost and to model the impact on the Healthy Eating Index (HEI-2015) of partially replacing less nutrient-rich with more nutrient-rich foods. <b>Methods:</b> Analyses were based on 5870 foods and beverages in the Food and Nutrient Database for Dietary Studies and on 24 h dietary recalls from the National Health and Nutrition Examination Survey (NHANES 2013–16). The NRFh 4:3:3 model was based on four nutrients to encourage (protein fiber, potassium, MUFA + PUFA); three food groups to encourage (dairy, fruit, whole grains); and three nutrients to limit (saturated fat, added sugar, sodium). Ratings generated by NRFh 4:3:3 and by other NRF models were correlated with score components, energy density (kcal/100 g), and energy cost (USD/100 kcal). The impact on HEI-2015 of replacing foods in the lowest nutrient density tertile (T1) with top tertile (T3) foods at 10%, 20%, 30%, and 100% equicaloric replacement was modeled using NHANES 2013–16 dietary data by population subgroups. <b>Results:</b> The NRFh 4:3:3 model awarded higher scores to foods containing dairy, fruit, and whole grains and proportionately lower scores to vegetables when compared to the NRF 9.3 model. Higher NRF and NRFh nutrient density scores were linked to lower energy density and higher energy cost; however, both correlations were lower for the NRFh 4:3:3. Isocaloric replacement of bottom tertile with top tertile foods as rated by both models led to significantly higher HEI-2105 values, based on complete (100%) and on partial (10–30%) replacement. <b>Conclusion:</b> The new NRFh 4:3:3 model provides the basis for developing new metrics of affordable nutrient density. The model identified “best value” food categories that were both affordable and nutrient-rich. Total and partial replacement of low nutrient density with high nutrient density foods was associated with higher HEI-2015 scores, suggesting that even partial inclusion of more nutrient dense foods in the diet may have an important impact on total diet quality.https://www.mdpi.com/2072-6643/13/5/1734nutrient profilinghybrid nutrient density scorewhole grainfruitdairyNHANES 2013–16 |
| spellingShingle | Adam Drewnowski Jessica Smith Victor L. Fulgoni The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16 Nutrients nutrient profiling hybrid nutrient density score whole grain fruit dairy NHANES 2013–16 |
| title | The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16 |
| title_full | The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16 |
| title_fullStr | The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16 |
| title_full_unstemmed | The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16 |
| title_short | The New Hybrid Nutrient Density Score NRFh 4:3:3 Tested in Relation to Affordable Nutrient Density and Healthy Eating Index 2015: Analyses of NHANES Data 2013–16 |
| title_sort | new hybrid nutrient density score nrfh 4 3 3 tested in relation to affordable nutrient density and healthy eating index 2015 analyses of nhanes data 2013 16 |
| topic | nutrient profiling hybrid nutrient density score whole grain fruit dairy NHANES 2013–16 |
| url | https://www.mdpi.com/2072-6643/13/5/1734 |
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