ArticleNutrition research and practice2019
Validity of the dietary reference intakes for determining energy requirements in older adults.
Article in Nutrition research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A narrative review on the application of doubly labeled water method for estimating energy requirement for Koreans.Nutrition research and practice · 2022Review
- A new doubly labelled water anthropometry-based equation for prediction of total daily energy expenditure in older people from low- and middle-income countries.European journal of clinical nutrition · 2021Article
- Estimating total daily energy requirements in community-dwelling older adults: validity of previous predictive equations and modeling of a new approach.European journal of clinical nutrition · 2021Article
- Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: what can we use?BMC nutrition · 2020Article
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Authors and funding
5 authors.
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Abstract
BACKGROUND/
objectivesThe objectives of this study were to evaluate the accuracy of the Dietary Reference Intakes (DRI) for estimating the energy requirements of older adults, and to develop and validate new equations for predicting the energy requirements of this population group. MATERIALS/
methodsThe study subjects were 25 men and 23 women with a mean age of 72.2 ± 3.9 years and 70.0 ± 3.3 years, and mean BMI of 24.0 ± 2.1 and 23.9 ± 2.7, respectively. The total energy expenditure (TEE) was measured by using the doubly labeled water (DLW) method, and used to validate the DRI predictive equations for estimated energy requirements (EER) and to develop new EER predictive equations. These developed equations were cross-validated by using the leave-one-out technique.
resultsIn men, the DRI equation had a -7.2% bias and accurately predicted the EER (meaning EER values within ±10% of the measured TEE) for 64% of the subjects, whereas our developed equation had a bias of -0.1% and an accuracy rate of 84%. In women, the bias was -6.6% for the DRI equation and 0.2% for our developed equation, and the accuracy rate was 74% and 83%, respectively. The predicted EER was strongly correlated with the measured TEE, for both the DRI equations and our developed equations (Pearson's r = 0.915 and 0.908, respectively).
conclusionsThe DRI equations provided an acceptable prediction of EER in older adults and these study results therefore support the use of these equations in this population group. Our developed equations had a better predictive accuracy than the DRI equations, but more studies need to be performed to assess the performance of these new equations when applied to an independent sample of older adults.
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