Validation of dietary reference intake equations for estimating energy requirements in Korean adults by using the doubly labeled water method

Kim, Min Jung; Kim, Jae Hee; Kim, Myung Hee; Ndahimana, Didace; Yean, Seo Eun; Yoon, Jin Sook; Kim, Jung Hyun; Park, Jonghoon; Ishikawa-Takata, Kazuko

doi:10.4162/nrp.2017.11.4.300

Cited by 12 publications

(20 citation statements)

References 28 publications

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“…Another study by Lee and Kim [ 32 ], which involved 28 male police officers aged 23 to 46 yrs (BMI = 24.6 ± 3.0), reported that the REE measured by indirect calorimetry was 1,748.3 ± 205.9 kcal/day. Our results are also comparable to those obtained by Kim et al [ 29 ], in a study that included 35 men aged 33.5 ± 8.8 yrs (BMI = 23.2 ± 2.1) and 36 women aged 33.3 ± 8.5 yrs (BMI = 22.2 ± 3.2). In that study, the measured REE was 1,695.3 ± 118.2 in men and 1,375.3 ± 160.1 in women.…”

Section: Discussionsupporting

confidence: 92%

“…As expected, and in support of the results in previous studies [ 28 29 ], the measured REE was higher in men than in women; 1,793 ± 266 kcal/day and 1,368 ± 179 kcal/day, respectively ( P < 0.05). This difference can be explained by the observation that men in our study had significantly higher body weight and higher FFM than those in women, two factors that have previously been shown to positively correlate with an individual's REE [ 3 30 ].…”

Section: Discussionsupporting

confidence: 92%

“…A study reported by de la Torre et al [ 28 ] also observed that the gender difference in REE disappeared after adjusting for body weight or FFM. In a report by Kim et al [ 29 ], the REE did not differ between genders after adjustment for body weight, although women did have a higher REE/FFM than that in men ( P < 0.001).…”

Section: Discussionmentioning

confidence: 86%

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Validity of predictive equations for resting energy expenditure in Korean non-obese adults

et al. 2018

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BACKGROUND/OBJECTIVESIndirect calorimetry is the gold-standard method for the measurement of resting energy expenditure. However, this method is time consuming, expensive, and requires highly trained personnel. To overcome these limitations, various predictive equations have been developed. The objective of this study was to assess the validity of predictive equations for resting energy expenditure (REE) in Korean non-obese adults.SUBJECTS/METHODSThe present study involved 109 participants (54 men and 55 women) aged between 20 and 64 years. The REE was measured by indirect calorimetry. Nineteen REE equations were evaluated for validity, by comparing predicted and measured REE results. Predictive equation accuracy was assessed by determining percent bias, root mean squared prediction error (RMSE), and percentage of accurate predictions.RESULTSThe measured REE was significantly higher in men than in women (P < 0.001), but the difference was not significant after adjusting for body weight (P > 0.05). The equation developed in this study had an accuracy rate of 71%, a bias of 0%, and an RMSE of 155 kcal/day. Among published equations, the FAOweight equation gave the highest accuracy rate (70%), along with a bias of −4.4% and an RMSE of 184 kcal/day.CONCLUSIONSThe newly developed equation provided the best accuracy in predicting REE for Korean non-obese adults. Among the previously published equations, the FAOweight equation showed the highest overall accuracy. Regardless, at an individual level, the equations could lead to inaccuracies in a considerable number of subjects.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

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Validity of predictive equations for resting energy expenditure in Korean non-obese adults

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“…In addition, 68% of men and 64% of women showed TEE DRI values within 10% of the TEE DLW . In another study conducted by Kim et al [ 34 ], the accuracy of the DRI equation was assessed in 71 Korean adults (35 men and 36 women) aged between 20–49 years. According to the study findings, the DRI equation was accurate in this group with a bias of −1.3% in men and −4.9 in women as well as an accuracy rate of 77.1% in men and 62.9% in women.…”

Section: Discussionmentioning

confidence: 99%

Validation of Dietary Reference Intakes for predicting energy requirements in elementary school-age children

et al. 2018

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BACKGROUND/OBJECTIVESDietary Reference Intakes (DRI) for energy are derived from total energy expenditure (TEE) measured using the doubly labelled water (DLW) method. The objective of this study was to assess the validity of DRI for predicting the energy requirements of elementary school-age children.SUBJECTS/METHODSThe present study involved 25 elementary school-age children aged between 9 and 11 years. TEE was assessed by the DLW method, and the results were compared with the TEE predicted by the DRI equations in order to evaluate accuracy.RESULTSThe subjects' TEE measured by the DLW method was 1,925.2 ± 380.9 kcal/day in boys and 1,930.0 ± 279.4 kcal/day in girls, whereas resting energy expenditure was 1,220.2 ± 176.9 kcal/day in boys and 1,245.9 ± 171.3 kcal/day for girls. The physical activity level was 1.58 ± 0.20 in boys and 1.55 ± 0.13 in girls. The mean bias between the predicted and measured TEE was 12.6% in boys and −1.6% in girls, and the percentage of accurate predictions was 28.6% and 63.6%, respectively. In boys, the equation resulted in underprediction of TEE among the subjects having low TEE values, whereas there was overprediction among subjects having high TEE values as shown by the Bland-Altman plot. On the contrary, this proportional bias was not observed in girls.CONCLUSIONSThe findings of this study suggest that the DRI equation for energy could result in the overestimation of energy requirements in elementary school-age boys. In the case of girls, the equations could be accurate at the group level. However, the DRI appears to be invalid for individual girls, as more than one third of girls had their TEE inaccurately predicted. We recommend more studies for confirmation of these results.

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“…In a recent study carried out with the elderly, this equation had a bias of -7.2% in men and − 6.6% in women [46]. Other study she was reported as accurate to estimate REE in men and women [47,48].…”

Section: Discussionmentioning

confidence: 98%

Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

Grassi

Boeno

Freitas

et al. 2020

Preprint

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Background: Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods: A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and, laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results: 62 patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1-36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (-1.8% difference) and Oxford in men (-1.3% difference).Conclusion: In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

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Validation of dietary reference intake equations for estimating energy requirements in Korean adults by using the doubly labeled water method

Cited by 12 publications

References 28 publications

Validity of predictive equations for resting energy expenditure in Korean non-obese adults

Validity of predictive equations for resting energy expenditure in Korean non-obese adults

Validation of Dietary Reference Intakes for predicting energy requirements in elementary school-age children

Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

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