Validation of resting metabolic rate equations in obese and non-obese young healthy adults

Al-Domi, Hayder; Al-Shorman, Alaa

doi:10.1016/j.clnesp.2018.04.008

Cited by 17 publications

(8 citation statements)

References 24 publications

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“…Al-Domi and Al-Shorman36 conducted a study in Jordan on healthy female university students and found that mean measured BMR was 1347 ± 333 kcal. Yao et al37 found that, for young female university students with a normal BMI, measured BMR was 1210 ± 160 kcal and optimal estimation ranges were found to be 1105 to 1400 kcal/day for the Owen equation, 1280 to 1595 kcal/day for the Mifflin-St Jeor equation, 1345 and 1630 kcal/day for the Harris-Benedict equation.…”

Section: Discussionmentioning

confidence: 99%

“…In the study conducted by Li et al38 in young, healthy, women with a normal BMI, BMR values by Owen, Schofield, Mifflin-St Jeor, and Harris-Benedict equations were significantly higher compared with indirect calorimetry, and the correlation between indirect calorimetry and the Owen equation was the highest ( r = 0.42, P = .003). Al-Domi and Al-Shorman36 compared indirect calorimetry with the Harris-Benedict, Owen, Mifflin-St Jeor, and FAO/WHO/UNU formulas and observed that there was no significant difference with the Harris-Benedict formula for all women, whereas the Mifflin-St Jeor formula was not statistically different from indirect calorimetry in women with normal weight. Similarly, Weijs and Vansant39 conducted a study in Belgian women and found that Harris-Benedict and Mifflin-St Jeor formulas were reported to be reliable in women with a BMI of 18.5 to 50.0 kg/m 2 .…”

Section: Discussionmentioning

confidence: 99%

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Comparison of Various Predictive Energy Equations for Female University Students With Measured Basal Metabolic Rate

Meseri

Küçükerdönmez

Akder

2022

Topics in Clinical Nutrition

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The aim of this study was to compare basal metabolic rate (BMR) calculated with various equations and BMR measured using an indirect calorimeter. The study was carried out on second-year university female students (n = 48) with a body mass index of less than 30. Indirect calorimetry with a ventilated hood was accepted as the gold standard and 11 predictive equations were used. Among the equations, Mifflin-St Jeor had the highest correlation (r = 0.435), but Bernstein (66.7%) and Owen (56.3%) were the most accurate equations. According to Bland-Altman analysis, the lowest bias and the highest explanation were obtained with the Bernstein and Owen equations. More comprehensive studies are needed in different groups to develop new equations with higher accuracy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Comparison of Various Predictive Energy Equations for Female University Students With Measured Basal Metabolic Rate

Meseri

Küçükerdönmez

Akder

2022

Topics in Clinical Nutrition

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“…The latter is defined as the sum of the person's active energy expenditure and BMR. The daily BMR is computed using the Harris-Benedict equation (Harris and Benedict 1918;De Lorenzo et al 2001;Wejis and Vansant 2010;Al-Domi and Al-Shorman 2018). Active energy expenditure for the time the participants were wearing the accelerometers is computed using the work-energy method (Actigraph Software Department 2012).…”

Section: Activity Measures and Study Settingmentioning

confidence: 99%

The Distribution of Effort: Physical Activity, Gender Roles, and Bargaining Power in an Agrarian Setting

Friedman¹,

Gaddis²,

Kilic³

et al. 2021

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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“…Predicted REE was calculated using the Harris-Benedict equations. 17 HOMA-IR was calculated as previously described. 18…”

Section: Calculationsmentioning

confidence: 99%

<p>Resting Whole Body Energy Metabolism in Class 3 Obesity; from Preserved Insulin Sensitivity to Overt Type 2 Diabetes</p>

Manzoni

Oltolini

Perra

et al. 2020

DMSO

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Context: Insulin resistance and diabetes may influence separately or in combination whole body energy metabolism. Objective: To assess the impact of insulin resistance and/or overt type 2 diabetes on resting energy expenditure (REE) in class 3 obese individuals. Design and Setting: Retrospective, cross-sectional analysis of a set of data about individuals attending the outpatients service of a single center of bariatric surgery between January 2015 and December 2017. Patients: We screened 382 patients in which abnormal thyroid function was excluded, and segregated them in three groups of subjects: patients with type 2 diabetes (T2DM; n=70), nondiabetic insulin-resistant patients with HOMA-IR ≥ 3 (n=236), non-diabetic insulin-sensitive patients with HOMA-IR < 3 (n=75). Main Outcome Measure: Resting energy expenditure (REE), body composition and insulin resistance assessed using indirect calorimetry, bioimpedance and HOMA-IR. Results: Non-diabetic insulin-sensitive patients resulted to be younger, with lower BMI and higher prevalence of female subjects; meanwhile, non-diabetic but insulin-resistant patients and T2DM patients were not different in terms of anthropometric parameters. REE was higher in T2DM than in non-diabetic insulin-resistant and insulin-sensitive individuals when expressed as percent of the predicted REE (based on Harris Benedict equation) (p<0.0001) or when adjusted for kg of free fat mass (p<0.0001) and was found to be higher also in insulinresistant vs insulin-sensitive patients (p<0.001). The respiratory quotient was different between groups (0.87±0.11, 0.86±0.12 and 0.91±0.14 in T2DM, insulin-resistant and insulinsensitive patients, respectively; p<0.03). Regression analysis confirmed that HOMA-IR was independently associated with the REE (R 2 =0.110, p<0.001). Conclusion: Class 3 obese patients with normal insulin sensitivity are characterized by reduced fasting REE in comparison to insulin-resistant obese patients and obese patients with short duration of diabetes supporting the hypothesis that down-regulation of nutrients' oxidative disposal may represent an adaptation of energy metabolism in obese individuals with preserved insulin sensitivity.

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Validation of resting metabolic rate equations in obese and non-obese young healthy adults

Cited by 17 publications

References 24 publications

Comparison of Various Predictive Energy Equations for Female University Students With Measured Basal Metabolic Rate

Comparison of Various Predictive Energy Equations for Female University Students With Measured Basal Metabolic Rate

The Distribution of Effort: Physical Activity, Gender Roles, and Bargaining Power in an Agrarian Setting

<p>Resting Whole Body Energy Metabolism in Class 3 Obesity; from Preserved Insulin Sensitivity to Overt Type 2 Diabetes</p>

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