Resting energy expenditure (REE) in an old-old population: implications for metabolic stress

Noreik, Michaela; Maurmann, Mareike; Meier, Veronika; Becker, Ingrid; Röhrig, Gabriele; Polidori, Maria Cristina; Schulz, Ralf-Joachim

doi:10.1016/j.exger.2014.06.009

Cited by 15 publications

(12 citation statements)

References 17 publications

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“…Total energy expenditure is the sum of resting energy expenditure (REE), physical activity energy expenditure, and thermic effect of food. The REE accounts for more than 50% of the total daily energy expenditure [ 3 ]. Indirect calorimetry (IC) is considered the reference method to determine the REE through the determination of O 2 consumption and CO 2 production [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

et al. 2018

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Indirect calorimetry (IC) is considered the reference method to determine the resting energy expenditure (REE), but its use in a clinical context is limited. Alternatively, there is a number of REE predictive equations to estimate the REE. However, it has been shown that the available REE predictive equations could either overestimate or underestimate the REE as measured by IC. Moreover, the role of the weight status in the accuracy and validity of the REE predictive equations requires further attention. Therefore, this study aimed to determine the accuracy and validity of REE predictive equations in normal-weight, overweight, and obese sedentary middle-aged adults. A total of 73 sedentary middle-aged adults (53% women, 40–65 years old) participated in the study. We measured REE by indirect calorimetry, strictly following the standard procedures, and we compared it with the values obtained from 33 predictive equations. The most accurate predictive equations in middle-aged sedentary adults were: (i) the equation of FAO/WHO/UNU in normal-weight individuals (50.0% of prediction accuracy), (ii) the equation of Livingston in overweight individuals (46.9% of prediction accuracy), and (iii) the equation of Owen in individuals with obesity (52.9% of prediction accuracy). Our study shows that the weight status plays an important role in the accuracy and validity of different REE predictive equations in middle-aged adults.

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Section: Introductionmentioning

confidence: 99%

Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

et al. 2018

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“…Yet, this is not as straightforward as it seems. A wide variety of formulae has been developed to estimate patients' resting energy expenditure (REE) [6,7]. However, these are mostly based on healthy non hospitalized persons.…”

Section: Introductionmentioning

confidence: 99%

Energy Expenditure in Older People Hospitalized for an Acute Episode

et al. 2019

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Weight loss and worsening of nutritional state is a frequent downfall of acute hospitalization in older people. It is usually accepted that acute inflammation is responsible for hypercatabolism. However, several studies suggest, on the contrary, a reduction in resting energy expenditure (REE). This study aimed to obtain a reliable measure of REE and total energy expenditure (TEE) in older patients hospitalized for an acute episode in order to better assess patients’ energy requirements and help understand the mechanisms of weight loss in this situation. Nineteen hospitalized older patients (mean age 83 years) with C-reactive protein (CRP) level >20mg/L were recruited. REE and TEE were measured using gold standard methods of indirect calorimetry and doubly labeled water (DLW), respectively. REE was then compared to data from a previous study on aged volunteers from nursing homes who were free of an acute stressor event. Energy requirements measured by DLW were confirmed at 1.3 × REE. Energy intake covered the needs but did not prevent weight loss in these patients. TEE was not increased in hospitalized patients and was not influenced by inflammation, while the relationship between REE and inflammation was uncertain. Our results suggest that lean mass remains the major determinant of REE in hospitalized older people and that weight loss may not be explained solely by a state of hypercatabolism.

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“…Data on individual TEE is crucial in planning adequate energy and nutrient intake in weight management nutritional intervention. REE is the energy that a person needs to maintain a body at rest [4]. REE can be measured by indirect calorimetry [4][5].…”

Section: Introductionmentioning

confidence: 99%

“…REE is the energy that a person needs to maintain a body at rest [4]. REE can be measured by indirect calorimetry [4][5]. This is the gold standard for REE measurement.…”

Section: Introductionmentioning

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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Resting energy expenditure (REE) in an old-old population: implications for metabolic stress

Cited by 15 publications

References 17 publications

Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

Energy Expenditure in Older People Hospitalized for an Acute Episode

Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

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