Evaluation of a nutrient-rich food index score in the Netherlands
Autor: | Martinette T Streppel, Linde van Lee, Anouk Geelen, Diewertje Sluik, Edith J. M. Feskens |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Gerontology
Index (economics) Nutrition and Disease RDA recommended daily allowance Endocrinology Diabetes and Metabolism Saturated fat DHD-index Dutch Healthy Diet Index Reference Daily Intake Nutrient density Nutrient Animal science Energy density Dutch Healthy Diet Index Voeding en Ziekte Medicine Nutrient-rich food scores HEI-2005 Healthy Eating Index 2005 VLAG Human Nutrition & Health LIM limited nutrient score Nutrition and Dietetics business.industry Humane Voeding & Gezondheid Nutrient profiling NRF nutrient-rich food DNFCS Dutch National Food Consumption Survey Diet quality NR nutrient-rich score Population study DV daily value business Research Article STB standardised regression coefficient Food Science |
Zdroj: | Journal of Nutritional Science 4 (2015) 14 Journal of Nutritional Science, 4(14) Journal of Nutritional Science |
ISSN: | 2048-6790 |
Popis: | Nutrient-rich food (NRF) index scores are dietary quality indices based on nutrient density. We studied the design aspects involved in the development and validation of NRF index scores, using the Dutch consumption data and guidelines as an example. We evaluated fifteen NRF index scores against the Dutch Healthy Diet Index (DHD-index), a measure of adherence to the Dutch dietary guidelines, and against energy density. The study population included 2106 adults from the Dutch National Food Consumption Survey 2007–2010. The index scores were composed of beneficial nutrients (protein, fibre, fatty acids, vitamins, minerals), nutrients to limit (saturated fat, sugar, Na) or a combination. Moreover, the influence of methodological decisions was studied, such as the choice of calculation basis (100 g or 100 kcal (418 kJ)). No large differences existed in the prediction of the DHD-index by the fifteen NRF index scores. The score that best predicted the DHD-index included nine beneficial nutrients and three nutrients to limit on a 100-kcal basis, the NRF9.3 with a model R2 of 0·34. The scores were quite robust with respect to sex, BMI and differences in calculation methods. The NRF index scores were correlated with energy density, but nutrient density better predicted the DHD-index than energy density. Consumption of vegetables, cereals and cereal products, and dairy products contributed most to the individual NRF9.3 scores. In conclusion, many methodological considerations underlie the development and evaluation of nutrient density models. These decisions may depend upon the purpose of the model, but should always be based upon scientific, objective and transparent criteria. |
Databáze: | OpenAIRE |
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