Body circumferences are predictors of weight adjusted resting energy expenditure in older people

Hedayati, Kerstin Khalaj; Dittmar, Manuela

doi:10.1007/s12603-011-0072-y

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…It has been reported that including body composition data and some body circumference measurements, such as WC, improved the estimation of predictive equations [ 23 ]. This is particularly relevant for patients with obesity and older adults [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women

et al. 2022

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Resting metabolic rate (RMR) depends on body fat-free mass (FFM) and fat mass (FM), whereas abdominal fat distribution is an aspect that has yet to be adequately studied. The objective of the present study was to analyze the influence of waist circumference (WC) in predicting RMR and propose a specific estimation equation for older Chilean women. This is an analytical cross-sectional study with a sample of 45 women between the ages of 60 and 85 years. Weight, height, body mass index (BMI), and WC were evaluated. RMR was measured by indirect calorimetry (IC) and %FM using the Siri equation. Adequacy (90% to 110%), overestimation (>110%), and underestimation (<90%) of the FAO/WHO/UNU, Harris–Benedict, Mifflin-St Jeor, and Carrasco equations, as well as those of the proposed equation, were evaluated in relation to RMR as measured by IC. Normal distribution was determined according to the Shapiro–Wilk test. The relationship of body composition and WC with RMR IC was analyzed by multiple linear regression analysis. The RMR IC was 1083.6 ± 171.9 kcal/day, which was significantly and positively correlated with FFM, body weight, WC, and FM and inversely correlated with age (p < 0.001). Among the investigated equations, our proposed equation showed the best adequacy and lowest overestimation. The predictive formulae that consider WC improve RMR prediction, thus preventing overestimation in older women.

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Section: Introductionmentioning

confidence: 99%

Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women

et al. 2022

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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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Validity of predictive equations to estimate RMR in females with varying BMI

et al. 2020

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Estimation of RMR using prediction equations is the basis for calculating energy requirements. In the present study, RMR was predicted by Harris–Benedict, Schofield, Henry, Mifflin–St Jeor and Owen equations and measured by indirect calorimetry in 125 healthy adult women of varying BMI (17–44 kg/m2). Agreement between methods was assessed by Bland–Altman analyses and each equation was assessed for accuracy by calculating the percentage of individuals predicted within ± 10 % of measured RMR. Slopes and intercepts of bias as a function of average RMR (mean of predicted and measured RMR) were calculated by regression analyses. Predictors of equation bias were investigated using univariate and multivariate linear regression. At group level, bias (the difference between predicted and measured RMR) was not different from zero only for Mifflin–St Jeor (0 (sd 153) kcal/d (0 (sd 640) kJ/d)) and Henry (8 (sd 163) kcal/d (33 (sd 682) kJ/d)) equations. Mifflin–St Jeor and Henry equations were most accurate at the individual level and predicted RMR within 10 % of measured RMR in 71 and 66 % of participants, respectively. For all equations, limits of agreement were wide, slopes of bias were negative, and intercepts of bias were positive and significantly (P < 0⋅05) different from zero. Increasing age, height and BMI were associated with underestimation of RMR, but collectively these variables explained only 15 % of the variance in estimation bias. Overall accuracy of equations for prediction of RMR is low at the individual level, particularly in women with low and high RMR. The Mifflin–St Jeor equation was the most accurate for this dataset, but prediction errors were still observed in about one-third of participants.

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Body circumferences are predictors of weight adjusted resting energy expenditure in older people

Cited by 7 publications

References 32 publications

Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women

Predictive Equation to Estimate Resting Metabolic Rate in Older Chilean Women

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

Validity of predictive equations to estimate RMR in females with varying BMI

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