Predicting Resting Energy Expenditure in Healthy Puerto Rican Adults

Torre, Carla; Ramírez-Marrero, Farah A.; Martínez, Lucía R.; Nevárez, Carmen

doi:10.1016/j.jada.2010.07.006

Cited by 10 publications

(17 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consistent with our expectations and results in previous reports [ 25 26 ], the subjects' TEE DLW and REE were significantly higher in men than in women ( P <0.001). This gender difference appears to be due to the higher body weight and higher FFM in men compared to women.…”

Section: Discussionsupporting

confidence: 93%

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

Kim

et al. 2017

Nutr Res Pract

View full text Add to dashboard Cite

BACKGROUND/OBJECTIVESThe doubly labeled water (DLW) method is considered the gold standard for the measurement of total energy expenditure (TEE), which serves to estimate energy requirements. This study evaluated the accuracy of predictive dietary reference intake (DRI) equations for determining the estimated energy requirements (EER) of Korean adults by using the DLW as a reference method. SUBJECTS/METHODS Seventy-one participants (35 men and 36 women) aged between 20 and 49 years were included in the study. The subjects' EER, calculated by using the DRI equation (EERDRI), was compared with their TEE measured by the DLW method (TEEDLW).RESULTSThe DRI equations for EER underestimated TEE by -36.3 kcal/day (-1.3%) in men and -104.5 kcal/day (-4.9%) in women. The percentages of accurate predictions among subjects were 77.1% in men and 62.9% in women. There was a strong linear correlation between EERDRI and TEEDLW (r=0.783, P<0.001 in men and r=0.810, P<0.001 in women).CONCLUSIONS The present study supports the use of DRI prediction equations to determine EER in Korean adults. More studies are needed to confirm our results and to assess the validity of these equations in other population groups, including children, adolescents, and older adults.

show abstract

Section: Discussionsupporting

confidence: 93%

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

Kim

et al. 2017

Nutr Res Pract

View full text Add to dashboard Cite

show abstract

“…Previous studies have reported similar REE-m and predicted with HB, MSJ and FAO/WHO/UNU equations [27,28], and a tendency for bias in REE predicted in the extremes of REE-m [28,29]. Although, this bias was not present in our OB group, their predicted REE had poor agreement and concordance with REE-m. Only 33% of the predicted REE in this group were within 10% of the REE-m using the FAO/WHO/UNU equation, and 50% with HB and MSJ equations, which is consistent with Spears et al [28] observations However, 78-100% of our GB and LE groups had predicted REE within 10% of the REE-m using all three equations.…”

Section: Discussionsupporting

confidence: 52%

Predicted vs. Actual Resting Energy Expenditure and Activity Coefficients: Post-Gastric Bypass, Lean and Obese Women

Ramírez-Marrero

Edens

Joyner

et al. 2014

OCTOA

View full text Add to dashboard Cite

Determining daily energy requirements to help guide weight control involves all components of Total Energy Expenditure (TEE): Resting Energy Expenditure (REE), Physical Activity Energy Expenditure (PAEE), and the Thermogenic Effect of Food (TEF). However, precise measurement of TEE mandates sophisticated equipment not readily available outside research or clinical settings. The Harris-Benedict (HB), [1] Mifflin St. Jeor (MSJ), [2] and the Food and Agriculture Organization/ World Health Organization/ United Nations University (FAO/WHO/UNU)[3] are REE predicting equations widely used in different populations [4-6]. These equations consider factors such as weight, height, age, and gender. The predicted REE is then multiplied by a PA coefficient for an estimate of TEE (Table 1). These coefficients have been derived by subtracting REE measured with indirect calorimetry from the TEE measured with the doubly labelled water technique [3,7,8]. Therefore, PA coefficients account not only for PAEE but also the TEF. However, there are inconsistencies in the selection and recommendation of PA coefficients for different equations (Table 1). Specific PA coefficients are based on the PA level of each participant, usually determined by self-reports and dietitian's experience. Because PAEE is the most variable component of TEE, the impact of PA coefficients based on self-report vs. objective PA assessment must be evaluated. After gastric bypass surgery REE declines in direct association with weight loss [9-11], and REE prediction equations remain well correlated with measured REE (REE-m) in this population. Flancbaum et al. [12] showed that HB equation predicted 90-101% of the REE-m by indirect calorimetry from pre-to 6-months post-surgery and 107-111% from 12-24 months post-surgery; during which gastric bypass patient's weight decreased 96 to 146 kg. Among obese individuals, Prado-de Oliveira et al. [13] reported that HB equation predicted REE-m; however, prediction was 8% lower. More recently, Ullah et al. [14] observed that HB equation overestimated REE by 10% in morbidly obese adults,

show abstract

“…In the original paper on the Mifflin equation, the authors selected 264 normal weight and 234 obese healthy subjects and found that body composition and body-weight distribution did not significantly affect REEe from various equations [25]. A recent study suggested that the Mifflin equation was valid in REE prediction in healthy Puerto Rican adults [32]. Another study in Belgian women showed that the Mifflin equation was a reliable tool to predict REE across a wide variety of body weight (BMI 18.5 to 50 kg/m 2 ) [33].…”

Section: Discussionmentioning

confidence: 99%

Comparison of five equations for estimating resting energy expenditure in Chinese young, normal weight healthy adults

Rao

Liang

et al. 2012

Eur J Med Res

View full text Add to dashboard Cite

BackgroundMost resting energy expenditure (REE) predictive equations for adults were derived from research conducted in western populations; whether they can also be used in Chinese young people is still unclear. Therefore, we conducted this study to determine the best REE predictive equation in Chinese normal weight young adults.MethodsForty-three (21 male, 22 female) healthy college students between the age of 18 and 25 years were recruited. REE was measured by the indirect calorimetry (IC) method. Harris-Benedict, World Health Organization (WHO), Owen, Mifflin and Liu’s equations were used to predictREE (REEe). REEe that was within 10% of measured REE (REEm) was defined as accurate. Student’s t test, Wilcoxon Signed Ranks Test, McNemar Test and the Bland-Altman method were used for data analysis.ResultsREEm was significantly lower (P < 0.05 or P < 0.01) than REEe from equations, except for Liu’s, Liu’s-s, Owen, Owen-s and Mifflin in men and Liu’s and Owen in women. REEe calculated by ideal body weight was significantly higher than REEe calculated by current body weight ( P < 0.01), the only exception being Harris-Benedict equation in men. Bland-Altman analysis showed that the Owen equation with current body weight generated the least bias. The biases of REEe from Owen with ideal body weight and Mifflin with both current and ideal weights were also lower.ConclusionsLiu’s, Owen, and Mifflin equations are appropriate for the prediction of REE in young Chinese adults. However, the use of ideal body weight did not increase the accuracy of REEe.

show abstract

Predicting Resting Energy Expenditure in Healthy Puerto Rican Adults

Cited by 10 publications

References 17 publications

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

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

Predicted vs. Actual Resting Energy Expenditure and Activity Coefficients: Post-Gastric Bypass, Lean and Obese Women

Comparison of five equations for estimating resting energy expenditure in Chinese young, normal weight healthy adults

Contact Info

Product

Resources

About