No abstract available.
Calorimetry, Indirect* ; Lung Diseases*

Objectives: To compare mean basal metabolic rate (BMR) estimated using Harris-Benedict equation (HB) and Bioelectrical Impedance Analysis (BIA) and the BMR measured using Indirect Calorimetry (IC) among adult obese Filipino patients with prediabetes or type 2 diabetes mellitus (T2DM). Methodology: This was a multi-center, cross-sectional study based on review of outpatient medical records of adult, obese Filipino patients with pre-diabetes or type 2 diabetes mellitus who were seen prior to weight loss intervention at the Outpatient Clinic of St. Luke’s Medical Center-Quezon City and the Metabolic and Diabetes Center of Providence Hospital from August 2017 to January 2018. BMR was derived using three methods: Harris-Benedict equation, Bioelectrical Impedance Analysis and Indirect Calorimetry. Results: A total of 153 subjects were included in the study. Eighty subjects (52%) have pre-diabetes while 73 subjects (48%) were diagnosed with T2DM. The mean BMR measured using IC is 1299±252 kcal/day while estimated mean BMR predicted using HB equation and BIA were 1628±251 kcal/day and 1635±260 kcal/day, respectively. Compared to measurement by IC, HBE and BIA significantly overestimated the mean BMR by 329 and 336 kcal/day, respectively (p-value=<0.0001). IC measured BMR showed strong positive correlation with weight and moderate positive correlation with height. Multiple stepwise regression analysis yielded the BMR prediction equation: BMR (kcal/day) = -780.806 + (11.108 x weight in kg) + (7.164 x height in cm). Conclusion Among obese Filipinos with T2DM or prediabetes, HB equation and BIA tend to overestimate the BMR measured using IC.
Basal Metabolism ; Calorimetry, Indirect

The purpose of this study is to analyze the accuracy of predictive equations for resting metabolic rate (RMR) in Korean college students. Subjects were 60 healthy Korean college students (30 males, 30 females) aged 18-25 years. RMR was measured by indirect calorimetry. Predicted RMRs were calculated using the Harris-Benedict, Schofield (W)/(WH), FAO/ WHO/UNU(W)/(WH), Owen, Mifflin, Cunningham, Liu, IMNA and Henry (W)/(WH) equations. The accuracy of the equations was evaluated on basis of accurate prediction (the percentage of subjects whose RMR was predicted within90% to 110% of the RMR measured), mean difference, RMSPE, mean % difference, limits of agreement of Bland- Altman method between predicted and measured RMR. Measured RMR of male and female students were 1833.4 +/- 307.4 kcal/day and 1454.3 +/- 208.0 kcal/day, respectively. All predictive equations underestimated measured RMR. Of the predictive equations tested, the Harris-Benedict equation (mean difference: -80.4 kcal/day, RMSPE: 236 kcal/day, mean % difference: -3.1%) was the most accurate and precise, but accurate prediction of the equation was only 42%. Thus, this study suggests that the ethnicity-specific predictive equation from Korean people should be developed to improve the accuracy of predicted RMR for Koreans.
Aged ; Calorimetry, Indirect ; Female ; Humans ; Male

BACKGROUND: Various methods and equations are available to predict the basal metabolic rate (BMR). A published study comparing the Harris-Benedict Equation, Bioelectrical Impedance Analysis, and Indirect Calorimetry (IC), was done among Filipinos, and was able to obtain a novel formula for BMR. The purpose of this study is to validate this novel formula. METHODS: This is a multi-center, cross-sectional, validation study of the novel BMR equation, done among adult overweight and obese Filipinos, who were seen at St. Luke’s Medical Center and Providence Hospital in Quezon City, Outpatient Clinics from August 2019 to March 2020. Purposive sampling was done, and upon giving consent, subjects had undergone interview, anthropometrics measurement, and IC. RESULTS: 174 samples were enrolled. Mean age is 43 years old, majority are females. 27% have no co-morbidities; of those with co-morbidities, half have diabetes mellitus (DM). Mean weight is 74.30 kg; mean BMI is 29.78 kg/m2 . The mean computed BMR is 1174.70 kcal/day, which is 145.83 significantly lower than the BMR derived with calorimetry: 1320.53 kcal/day (P-value 0.000). However, the scatterplot reveals the linearity of positive direction for both values. 31% of the computed BMR fell within the +/-10% estimate of the actual BMR. Stratification of the results between those with DM and without, lowered the difference between the calculated and actual BMR to 46 kcal/day (from 145.83) among the DM subgroup, and increased the estimated accuracy to 38% falling within the +/- 10% estimate of the actual values. CONCLUSION: The novel BMR formula is linearly reflective of the basal metabolism of adult overweight and obese Filipinos, but the numerical values are lower compared to actual calorimetry results, yielding more accuracy when applied among patients with diabetes.
Calorimetry, Indirect ; Basal Metabolism ; Obesity Management

Basal metabolic rate (BMR) is of great significance to the setting of daily energy requirements and the scientific diet guidance for the population. There are 3 kinds of measurement methods for BMR, including the direct calorimetry, the indirect calorimetry, and the equation estimation. The direct calorimetry method is difficult to implement and is only used in some special populations. The indirect calorimetry and the equation estimation are two methods that are currently used commonly. The indirect calorimetry is highly accurate and suitable for individual for basal metabolic measurement or datum collection via equation estimation. The equation estimation is simple and convenient, which is suitable for large samples.
Basal Metabolism ; physiology ; Biomedical Research ; Calorimetry, Indirect ; Energy Metabolism ; Humans

BACKGROUND: In order to treat obese individuals, control of caloric intake after determination of patient's energy expenditure and recommendation of exercise program with possible use of specific medication is advised. There are many limitations in measuring all individuals energy expenditure by calorimetry, thus estimation is made using many variables such as weight, height, age, and gender. But, commonly used equations to predict resting energy expenditure(REE) are thought to result in overestimation of energy expenditure for use with obese individuals. This study investigated difference between measured and predicted resting energy expenditure in obese individuals. METHODS: Subjects were 133 adults who were admitted either to Internal Medicine Department and ENT Department of Yeung Nam University Hospital and their resting energy expenditure was measured by indirect calorimetry. According to age, sex, smoking habits and body mass index, Measured REE by indirect calorimetry between groups was compared. Predicted REE estimated by 6 equations to measured REE was compared in the two groups by body mass index 27kg/m2 under 65 years old individuals. RESULTS: There was no significant difference of measured REE between groups according to smoking habits(p>0.05). In the older group(> or =65 years old), REE was lower compared to the younger groups(<65 years old)(p<0.05). In the obese group(body mass index>27kg/m2) measured REE was higher than the normal weight group(BMI<27kg/m2)(p<0.05). Among 108 individuals under 65 years old, other equation except for Fleish equation and Robertson and Reid equation were inaccurate when applied to the obese group. CONCLUSIONS: These commonly used prediction equations tend to overestimate the REE in obese individuals, and the best estimates for the obese seem to be derived from the Fleish and Robertson and Reid equations.
Adult ; Aged ; Body Mass Index ; Calorimetry ; Calorimetry, Indirect* ; Energy Intake ; Energy Metabolism* ; Humans ; Internal Medicine ; Obesity ; Smoke ; Smoking

Calculating the estimated resting metabolic rate (RMR) in severely obese patients is useful, but there is controversy concerning the effectiveness of available predictive equations using body weight. This study compared the accuracy of four commonly used RMR predictive equations to measured RMR. We evaluated the efficacy of RMR equations against indirect calorimetry in forth female obese subjects. The subjects had their RMR measured by indirect calorimetry and compared to the most commonly used prediction equations (Harris-Benedict, Owen, and Mifflin-St Jeor, World Health Organization/Food and Agriculture Organization/United Nations University [WHO/FAU/UNU]). The results shows that Owen and Mifflin-St Jeor equations significantly under-estimated to our measured RMR. However, the WHO/FAO/UNU Equation was the most accurately predictive RMR values (1,543.6+/-110.3 vs. 1,484.3+/-218.3) compared to measured RMR. As based on data, we suggest that WHO/FAO/UNU equation and Harris-Benedicts equation would be most reasonable and useful for Korean obese women.
Agriculture ; Body Weight ; Calorimetry ; Calorimetry, Indirect ; Female ; Humans ; Obesity ; Predictive Value of Tests ; World Health ; World Health Organization

OBJECTIVES: The purpose of this study was to measure the resting metabolic rate (RMR) and to assess the accuracy of RMR predictive equations for Korean farmers. METHODS: Subjects were 161 healthy Korean farmers (50 males, 111 females) in Gangwon-area. The RMR was measured by indirect calorimetry for 20 minutes following a 12-hour overnight fasting. Selected predictive equations were Harris-Benedict, Mifflin, Liu, KDRI, Cunningham (1980, 1991), Owen-W, F, FAO/WHO/UNU-W, WH, Schofield-W, WH, Henry-W, WH. The accuracy of the equations was evaluated on the basis of bias, RMSPE, accurate prediction and Bland-Altman plot. Further, new RMR predictive equations for the subjects were developed by multiple regression analysis using the variables highly related to RMR. RESULTS: The mean of the measured RMR was 1703 kcal/day in males and 1343 kcal/day in females. The Cunningham (1980) equation was the closest to measured RMR than others in males and in females (males Bias -0.47%, RMSPE 110 kcal/day, accurate prediction 80%, females Bias 1.4%, RMSPE 63 kcal/day, accurate prediction 81%). Body weight, BMI, circumferences of waist and hip, fat mass and FFM were significantly correlated with measured RMR. Thus, derived prediction equation as follow: males RMR = 447.5 + 17.4.Wt, females RMR = 684.5 - 3.5.Ht + 11.8.Wt + 12.4.FFM. CONCLUSIONS: This study showed that Cunningham (1980) equation was the most accurate to predict RMR of the subjects. Thus, Cunningham (1980) equation could be used to predict RMR of Korean farmers studied in this study. Future studies including larger subjects should be carried out to develop RMR predictive equations for Korean farmers.
Bias (Epidemiology) ; Body Weight ; Calorimetry, Indirect ; Fasting ; Female ; Hip ; Humans ; Male

PURPOSE: To predict the energy expenditure using the stress factor representing the ratio of the metabolic variation between pre-operation and post-operation in a pancreaticoduodenectomy (PD). METHODS: This was a prospective study conducted on 17 patients (11 males and 6 females) who underwent PD at Chonbuk National University Hospital between March 2010 and October 2011. The rest energy expenditure was measured by indirect calorimetry 1 day before and 3 days after surgery. The height, weight, and fat free mass were also measured 1 day before surgery. RESULTS: The mean measured rest energy expenditure 1 day before PD (mREEpre) and 3 days after PD (mREEpost) were significantly different (16.8±2.6 vs. 18.8±3.5 kcal/kg/d, P=0.0076). The stress factor, representing the ratio of the metabolic changes between pre- and post-PD, was 1.12±0.17. The recommended energy requirement for PD patients is estimated to be 23∼24 kcal/ideal body weight/d [determined from the measured preoperative rest energy expenditure (16.8±2.6 kcal/kg/d)×activity factor (1.2∼1.3)×stress factor (1.12)]. CONCLUSION: PD patients maintained a hypermetabolic status and the applicable stress factor was 1.12.
Calorimetry, Indirect* ; Energy Metabolism* ; Humans ; Jeollabuk-do ; Male ; Pancreaticoduodenectomy* ; Prospective Studies

PURPOSE: Providing an adequate amount of energy is important in patients with depleted nutrition. Indirect calorimetry is a portable tool that can measure the resting energy expenditure, the respiratory quotient, and the ratio of substrate utilization. Another way of getting the energy expenditure is through the use of equations, and that has been a more common way to get the basal energy expenditure. However, there has been a controversy that the energy expenditures calculated from equations are not the same as the values measured by indirect calorimetry. METHODS: Our study was to clarify this difference in two different groups with different physical conditions and growth. One was a normal-adult group (n=18), and their energy expenditure was calculated using the Harris-Benedict equations. The other was a normal-newborn group (n=7), and their energy expenditure was calculated using the Schofield equations. Calculated values were compared with the resting energy expenditure from indirect calorimetry (Deltatrac Metabolic Monitor, Datex Inc. Finland). RESULTS: In the adults, the basal energy expenditure was 1703.3+/-100.2 kcal/d according to the Harris-Benedict equations, and the resting energy expenditure was 1701+/-289.6 kcal/d according to indirect calorimetry (p>0.1). VO2 was 245.7+/-42.8 ml/min, VCO2 was 210+33.4 ml/min, and RQ was 0.86+/-0.05. In the neonates, the basal energy expenditure was 184.1+/-15.1 kcal/d according to the Schofield equations, and the resting basal energy expenditure was 154.3+/-32.1 kcal/d (p<0.05). VO2 was 21.9+/-4.3 ml/min, VCO2 was 18.7+/-4.0 ml/min, and RQ was 0.85+/-0.02. The ratios of substrate utilization were 192.1+/-58.8 g/d (48.03+/-16.8%) for carbohydrates, 69.7 +/-35.6 g/d (37.8+/-17.2%) for fats, and 55.8+/-14.9 g/d (14.3+/-3.9%) for proteins in the adults. In the neonates, the ratios were 18.6+/-5.6 g/d (50.3+/-7.0%) for carbohydrates, 18.6+/-1.1 g/d (47.7+/-6.2%) for fats, and 1+/-0 g/d (3.0+/-0.73%) for proteins. CONCLUSION: The difference between the basal energy expenditure obtained from equations and the resting energy expenditure obtained from indirect calorimetry could be identified only in the neonate group, but not in the adult group. It is speculated that resting energy expenditure was more reliable than the basal energy expenditure in neonates. Indirect calorimetry canbe a useful tool to correct the errors in the values obtained from equations, and other parameters, such as the respiratory quotient and the ratio of substrate utilization, should be evaluated in nutritional support.
Adult ; Calorimetry, Indirect* ; Carbohydrates ; Energy Metabolism* ; Fats ; Humans ; Infant, Newborn* ; Nutritional Support ; Young Adult*