Accuracy of resting metabolic rate prediction in overweight and obese Australian adults

Wright, Thomas G.; Dawson, Brian; Jalleh, Geoffrey; Guelfi, Kym J.

doi:10.1016/j.orcp.2015.07.008

Cited by 11 publications

(8 citation statements)

References 26 publications

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“…This equation gave us the most comparable results with the measured REE. According to our data, which is also confirmed by some studies [23,34], Owen's equation can be used in predicting REE in overweight adults. This protocol can be used in clinical and non-clinical environments, in environments that can't afford handheld calorimeters, and where the predictive equation is the only way to estimate REE.…”

Section: Resultssupporting

confidence: 87%

“…Although other authors [32][33] demonstrated great accuracy also for the HB equation, we could not confirm this (percent of predicted REE was not within ±10% of the measured REE neither for females nor males). Recently published studies that compare different predictive equations and measured REE on healthy adults also came to the conclusion that the most suitable predictive equation for overweight Caucasian adults would be Owen's equation [23,34].…”

Section: Discussionmentioning

confidence: 99%

“…REE was calculated using the Mifflin-St Jeor (MSJ) [9], the Harris-Benedict (HB) [19], the Owen (O) [21][22] and the Wright (W) [23] Equation (Table 1). Height, weight and age were used for the equations, calculated in kcal per day, and then expressed in kJ.…”

Section: Predicted Ree Calculationmentioning

confidence: 99%

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Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Stubelj

Teraž

Vatovec

2019

Slovenian Journal of Public Health

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Introduction The aim of the study is to show the differences between the measured and estimated values of resting energy expenditure and any changes occurring after the 6-month weight loss intervention program. Methods We included 33 healthy adults aged 25–49 years with an average body mass index 29.1±2.7 kg/m 2 for female and 29.8±2.8 kg/m2 for male. The measured resting energy expenditure was obtained by indirect calorimeter MedGem® Microlife and estimated resting energy expenditure by the Harris–Benedict equation, the Mifflin–St Jeor equation, the Owen equation, the Wright equation, and by the Tanita body composition analyser. All measurements and calculations were carried out before and after the 6-month intervention. Results were compared using paired t-tests. P value less than 0.05 was considered statistically significant. Results A comparison of the measured resting energy expenditure of female subjects with the estimated resting energy expenditure using the Harris–Benedict equation, the Mifflin–St Jeor equation and the Wright equation showed a statistically significant difference. A comparison of the measured resting energy expenditure of male subjects with the estimated resting energy expenditure using the Harris–Benedict equation and the Wright equation showed a statistically significant difference. There was a significant difference in the measured resting energy expenditure and estimated resting energy expenditure using Tanita. Conclusions We concluded that the most comparable equation for our sample was the Owen’s equation. After losing weight, the measured resting energy expenditure has decreased, which must be taken into account in further diet therapy.

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Section: Resultssupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Stubelj

Teraž

Vatovec

2019

Slovenian Journal of Public Health

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“…Correspondingly, accuracy at the individual and group level was the greatest (accurate prediction at 70% of the sample, bias of 1.0%) among all equations included for assessment. Of importance is the observed accuracy, which was among the highest in relevant literature [3, 10, 11, 27-31]. Post hoc internal validity showed a mean difference of merely 36 kcal·day –1 , which could be described as clinically insignificant [26].…”

Section: Discussionmentioning

confidence: 99%

“…Main concerns include the age of equations [5-7], study population in terms of genetic and epigenetic influences on body weight, body composition, and long-term influences of dietary patterns [8, 9]. For these reasons, several studies have investigated the validity and accuracy of previously published REE equations in specific/national populations, like in Australians [10], Brazilian postmenopausal women [4], Dutch, German and American overweight and obese adults [11-14], normal weight, overweight and obese Italian women [15, 16], and Spanish obese adult and child populations [17, 18]. In many of these studies, the existing equations failed to predict REE within ±10% of the measurements using indirect calorimetry prompting the development of new population-specific equations.…”

Section: Introductionmentioning

confidence: 99%

Validity of Predictive Equations for Resting Energy Expenditure in Greek Adults

et al. 2018

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Aim: To examine the validity of published resting energy expenditure (REE) equations in Greek adults, and if indicated, develop new cohort-specific predictive REE equations. Methods: Indirect calorimetry and anthropometric data were obtained from 226 adult volunteers of diverse age groups and body mass index ranges (18–60 years, 16.6–67.7 kg·m^–2). Measured REE was compared to preexisting prediction equations via correlation, regression, and Bland-Altman analysis. Then, cohort-specific REE equations were developed using curve estimation and nonlinear regression. To reduce type I error, presently derived equations were validated by splitting the sample into a training and validation group. Results: Preexisting equations over-predicted in-cohort REE. Equations by Livigston and Kohlstadt were most accurate at the individual level (63% accuracy), while formulas by Owen and collaborators elicited highest accuracy at the group level (–1.8% bias). Bland-Altman analysis showed proportional bias for most equations. Currently developed equations showed highest overall accuracy with 70% at the individual and group level (1.0% bias), with small differences between measured and predicted REE values (mean, 95% CI 36 [–15 to 88] kcal·day^–1). Conclusion: Data indicate currently developed equations to be the most accurate and valid for estimating REE in Greek adults. Further studies should examine the developed equations in an independent sample.

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Validity of basal metabolic rate prediction equations in elderly women living in an urban tropical city of Brazil

Sgambato

Wahrlich

Anjos

2019

Clinical Nutrition ESPEN

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Accuracy of resting metabolic rate prediction in overweight and obese Australian adults

Cited by 11 publications

References 26 publications

Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Validity of Predictive Equations for Resting Energy Expenditure in Greek Adults

Validity of basal metabolic rate prediction equations in elderly women living in an urban tropical city of Brazil

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