Resting Metabolic Rate of Elderly Vietnamese

Nhung, Bùi Thị; Khan, Nguyen Cong; Hop, Le Thi; Lâm, Nguyễn Thị; Khanh, N L B; Lien, Do Thi Kim; Nakamori, Masayo; Hiền, Vũ Thị; Kassu, Afework; Yamamoto, Shigeru

doi:10.1159/000100815

Cited by 6 publications

(7 citation statements)

References 17 publications

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“…Besides the gold standard IC, there are alternative methods for estimating BEE such as BI, HBE and MSJ. Clinical use of HBE has been debated 5 , 8 - 9 , 13 , 15 , 19 , 22 . A study analyzing healthy subjects aged 18-30 years, using the HBE underestimated the BEE in 2.91% for female and 6.61% for male (p<0.05) 4 .…”

Section: Discussionmentioning

confidence: 99%

Estimating Basal Energy Expenditure in Liver Transplant Recipients: The Value of the Harris-Benedict Equation

Pinto¹,

Chedid²,

Guerra³

et al. 2016

ABCD, arq. bras. cir. dig.

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Background: Reliable measurement of basal energy expenditure (BEE) in liver transplant (LT) recipients is necessary for adapting energy requirements, improving nutritional status and preventing weight gain. Indirect calorimetry (IC) is the gold standard for measuring BEE. However, BEE may be estimated through alternative methods, including electrical bioimpedance (BI), Harris-Benedict Equation (HBE), and Mifflin-St. Jeor Equation (MSJ) that carry easier applicability and lower cost. Aim: To determine which of the three alternative methods for BEE estimation (HBE, BI and MSJ) would provide most reliable BEE estimation in LT recipients. Methods: Prospective cross-sectional study including dyslipidemic LT recipients in follow-up at a 735-bed tertiary referral university hospital. Comparisons of BEE measured through IC to BEE estimated through each of the three alternative methods (HBE, BI and MSJ) were performed using Bland-Altman method and Wilcoxon Rank Sum test. Results: Forty-five patients were included, aged 58±10 years. BEE measured using IC was 1664±319 kcal for males, and 1409±221 kcal for females. Average difference between BEE measured by IC (1534±300 kcal) and BI (1584±377 kcal) was +50 kcal (p=0.0384). Average difference between the BEE measured using IC (1534±300 kcal) and MSJ (1479.6±375 kcal) was -55 kcal (p=0.16). Average difference between BEE values measured by IC (1534±300 kcal) and HBE (1521±283 kcal) was -13 kcal (p=0.326). Difference between BEE estimated through IC and HBE was less than 100 kcal for 39 of all 43patients. Conclusions: Among the three alternative methods, HBE was the most reliable for estimating BEE in LT recipients.

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Section: Discussionmentioning

confidence: 99%

Estimating Basal Energy Expenditure in Liver Transplant Recipients: The Value of the Harris-Benedict Equation

Pinto¹,

Chedid²,

Guerra³

et al. 2016

ABCD, arq. bras. cir. dig.

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“…Mean BMI of participants ranged from 22.2 to 27.7 kg/m 2 (Table 1). In the study by Nhung et al [30] subjects had a BMI 18.5e24.9 kg/m 2 , whereas in the others papers, BMI showed a huge variability, varying from normal weight to overweight/obesity or even severe obesity [15,19,27]. In other words, elderly subjects with normal-weight, overweight and obesity were included in most study samples.…”

Section: Characteristics Of the Studiesmentioning

confidence: 99%

“…Finally, studies considered in the present review were performed in different countries: 4 in Germany [10,16,26,31]; 3 in UK [9,25,29], and one each in Italy [15], Sweden [18], Switzerland [28], USA [27], Brazil [19], Vietnam [30] and Japan [17].…”

Section: Characteristics Of the Studiesmentioning

confidence: 99%

“…Overall, the sample size was small without being justified, and some differences emerged in the assessment of REE prediction and data reporting. Two studies [18,29] were rated as poor with a significant risk of bias (less than 50% of eligible people participated in the study), whereas four studies had an overall good quality rating [10,26,30,31]. It should be highlighted that some questions, included in this study quality assessment tool, cannot be applied for cross-sectional, due to the type of study design.…”

Section: Risk Of Biasmentioning

confidence: 99%

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Prediction of resting energy expenditure in healthy older adults: A systematic review

et al. 2021

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Background & aims: Estimates of energy requirements, based on measured or predicted resting energy expenditure (REE), are needed to avoid undernutrition or overnutrition (and their clinical consequences) in elderly subjects. The aims of this systematic review were to evaluate the prediction accuracy of REE in healthy elderly subjects and to ascertain which equation is more reliable at group level and/or individual level. Methods: Studies assessing prediction of REE in general elderly population were systematically searched using PubMed, EMBASE, Web of Science and CINAHL until March 2020. Prediction accuracy of REE was assessed at both group (bias) and individual (precision) level for each equation.Results: Fourteen studies met the inclusion criteria of this systematic review. Bias was reported in 8 papers and calculated in another 5 from absolute values. There was a prevalent tendency towards an overestimation of REE across the studies. The least bias was observed for the Mifflin (À0.3%) and Harris eBenedict (þ2.6%) equations, with values above 5% for the FAO/WHO/UNU, Fredrix and Muller equations. Precision widely varied between studies for the same equation. The higher precision was observed using the HarriseBenedict equation (~70%), while the Henry and Mifflin equations provided estimates within 10% of measured values in 65% and 61% of elderly individuals, respectively. Conclusions: None of the prediction equations considered provides accurate and precise REE estimates in healthy older adults. However, the best prediction is given by the Mifflin equation at group level and by the HarriseBenedict equation at individual level. Further studies with strong quality design are needed to evaluate the variability and accuracy of REE in the elderly general population.

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“…En general, son numerosas las investigaciones que concluyen que, dados los resultados de las fórmulas predictivas actuales para con estos individuos, es necesaria la utilización de la calorimetría indirecta (113)(114)(115)(116)(117)(118)(119) .…”

Section: Modelos Predictivos De Estimación Del Gerunclassified

Estudio del gasto energético en una población adulta sana española: calorimetría indirecta "versus" modelos predictivos: propuesta de una nueva ecuación de estimación

Marcos¹,

la²

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Resting Metabolic Rate of Elderly Vietnamese

Cited by 6 publications

References 17 publications

Estimating Basal Energy Expenditure in Liver Transplant Recipients: The Value of the Harris-Benedict Equation

Estimating Basal Energy Expenditure in Liver Transplant Recipients: The Value of the Harris-Benedict Equation

Prediction of resting energy expenditure in healthy older adults: A systematic review

Estudio del gasto energético en una población adulta sana española: calorimetría indirecta "versus" modelos predictivos: propuesta de una nueva ecuación de estimación

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