Predictive Equations for Basal Metabolic Rate in Chinese Adults

1995 ◽  
Vol 95 (12) ◽  
pp. 1403-1408 ◽  
Author(s):  
HSIU-YING LIU ◽  
YI-FA LU ◽  
WEI-JAO CHEN
Keyword(s):  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
Chinese Adults ◽  
Predictive Equations

Development of new predictive equations for basal metabolic rate in Iranian healthy adults: negligible effect of sex

2020 ◽  
pp. 1-10
Author(s):  
Bahareh Nikooyeh ◽  
Nastaran Shariatzadeh ◽  
Ali Kalayi ◽  
Maliheh Zahedirad ◽  
Tirang R. Neyestani
Keyword(s):  
Metabolic Rate ◽  
Thyroid Function ◽  
Basal Metabolic Rate ◽  
Age Groups ◽  
Thyroid Function Tests ◽  
Anthropometric Measures ◽  
Predictive Equations ◽  
Normal Thyroid Function ◽  
Asian People ◽  
Predictive Formulas

Abstract. Some studies have reported inaccuracy of predicting basal metabolic rate (BMR) by using common equations for Asian people. Thus, this study was undertaken to develop new predictive equations for the Iranian community and also to compare their accuracy with the commonly used formulas. Anthropometric measures and thyroid function were evaluated for 267 healthy subjects (18–60 y). Indirect calorimetry (InCal) was performed only for those participants with normal thyroid function tests (n = 252). Comparison of predicted RMR (both kcal/d and kcal.kg.wt−1.d−1) using current predictive formulas and measured RMR revealed that Harris-Benedict and FAO/WHO/UNU significantly over-estimated and Mifflin-St. Jeor significantly under-estimated RMR as compared to InCal measurements. In stepwise regression analysis for developing new equations, the highest r2 (=0.89) was from a model comprising sex, height and weight. However, further analyses revealed that unlike the subjects under 30 y, the association between age and the measured RMR in subjects 30 y and plus was negative (r = −0.241, p = 0.001). As a result, two separate equations were developed for these two age groups. Over 80 percent of variations were covered by the new equations. In conclusion, there were statistical significant under- and over-estimation of RMR using common predictive equations in our subjects. Using the new equations, the accuracy of the calculated RMR increased remarkably.

scholarly journals Measured and Predicted Basal Metabolic Rate in Inflammatory Bowel Disease Patients

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 624-624
Author(s):  
Luiz Dos Anjos ◽  
Tatiana Campos ◽  
Juliana Dantas ◽  
Fernanda Fernandes ◽  
Vivian Wahrlich
Keyword(s):  
Inflammatory Bowel Disease ◽  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
Bowel Disease ◽  
Anthropometric Measures ◽  
Predictive Equations ◽  
Women Subjects ◽  
Funding Sources ◽  
Chron's Disease ◽  
Inflammatory Bowel

Abstract Objectives To measure basal metabolic rate (BMR) and to compare the values with estimated BMR from international and local predictive equations in inflammatory bowel disease (IBD) patients. Methods A total of 72 (38 women) subjects with Chron's disease (n = 45, 19 women) and ulcerative colitis (n = 27, 19 women) from an outpatient care unit in Rio de Janeiro, Brazil, agreed to participate in the study. Anthropometric measures were obtained using standard procedures. Percent body fat (PBF) was assessed by DXA. BMR was measured (BMRm) by indirect calorimetry (Vmax Encore 29) under standardized conditions and compared with BMR estimated by internationally-recommended (Schofield, 1985) and locally-developed (Anjos et al., 2014) predictive equations. Bias was calculated as estimated - measured BMR. Results The mean ± SD (range) age was 38.0 ± 11.3 (20.1 – 58.3) years with a mean BMI of 24.7 ± 4.5 (16.1 – 39.1) kg.m−2 and PBF of 32.2 ± 9.1 (9.7 – 53.4). BMRm was significantly lower in women (1169.3 ± 205.0) than men (1439.0 ± 197.5) kcal.day−1. The Schofield's equations significantly overestimated BMR for both women (bias of 204.0 ± 148.3 kcal.day−1 or 17.4%) and men (306.7 ± 171.0 kcal.day−1 or 21.3%). The locally-developed equation yielded nonsignificant estimates for both women (−5.8 ± 143.7 kcal.day−1 or −0.5%) and men (−19.9 ± 165.5 kcal.day−1 or −1.4%). Conclusions The findings of the present study indicate that internationally-recommended BMR predictive equations are not accurate to estimate BMR in IBD patients in a tropical setting. As observed in samples of healthy adults from the same city, the locally-developed BMR equations yield unbiased and accurate estimates for IBD patients. Funding Sources CNPq (310,461/2016–20) and FAPERJ (E-26/202.514/2018; E-26/203.068/2018; E-26/203.068/2017; E-26/202.520/2016; E-26/210.747/2016).

scholarly journals Basal Metabolic Rate of Adolescent Modern Pentathlon Athletes: Agreement between Indirect Calorimetry and Predictive Equations and the Correlation with Body Parameters

PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142859 ◽  
Author(s):  
Luiz Lannes Loureiro ◽  
Sidnei Fonseca ◽  
Natalia Gomes Casanova de Oliveira e Castro ◽  
Renata Baratta dos Passos ◽  
Cristiana Pedrosa Melo Porto ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
Indirect Calorimetry ◽  
Predictive Equations ◽  
Body Parameters

scholarly journals Accuracy of Predictive Equations for Basal Metabolic Rate and Contribution of Abdominal Fat Distribution to Basal Metabolic Rate in Obese Japanese People

2008 ◽  
Vol 5 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Shigeho Tanaka ◽  
Kazunori Ohkawara ◽  
Kasuko Ishikawa-Takata ◽  
Akemi Morita ◽  
Shaw Watanabe
Keyword(s):  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
Fat Distribution ◽  
Abdominal Fat ◽  
Japanese People ◽  
Predictive Equations

scholarly journals Validation of three predictive equations for basal metabolic rate in adults

2005 ◽  
Vol 8 (7a) ◽  
pp. 1213-1228 ◽  
Author(s):  
Manuel Ramirez-Zea
Keyword(s):  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
Age Groups ◽  
Normal Weight ◽  
Prediction Errors ◽  
Concordance Correlation ◽  
Predictive Equations ◽  
Mean Values ◽  
Wide Range ◽  
Three Body

AbstractObjectiveTo cross-validate three predictive set of equations for basal metabolic rate (BMR) developed by Schofield (Schofield database), Henry (Oxford database) and Cole (Oxford database) using mean values for age, weight, height and BMR of published studies.DesignLiterature review of studies published from 1985 to March 2002.SettingAll studies selected used appropriate methods and followed conditions that met the criteria established for basal metabolism, were performed in healthy adults, and were not part of the Schofield or Oxford database.SubjectsA total of 261 groups of men and women from 175 studies were selected and categorised in three age groups (18.5–29.9, 30.0–59.9, ≥60 years old) and three body mass index (BMI) groups (normal weight, overweight and obese).ResultsLinear regression and concordance correlation analysis showed that the three sets of equations had the same association and agreement with measured BMR, across gender, age, and BMI groups. The agreement of all equations was moderate for men and poor for women. The lowest mean squared prediction errors (MSPRs) were given by Henry equations in men and Cole equations in women. Henry and Cole equations gave lower values than Schofield equations, except for men over 60 years of age. Henry equations were the most accurate in men. None of the three equations performed consistently better in women.ConclusionThese results support the use of Henry equations in men with a wide range of age and BMI. None of the proposed predictive equations seem to be appropriate to estimate BMR in women.

scholarly journals Basal metabolic rate studies in humans: measurement and development of new equations

2005 ◽  
Vol 8 (7a) ◽  
pp. 1133-1152 ◽  
Author(s):  
CJK Henry
Keyword(s):  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
Historical Review ◽  
World Health ◽  
Energy Requirements ◽  
Tropical Region ◽  
Data Set ◽  
Predictive Equations ◽  
Protein Requirements ◽  
Health Organization

AbstractObjectiveTo facilitate the Food and Agriculture Organization/World Health Organization/United Nations University Joint (FAO/WHO/UNU) Expert Consultation on Energy and Protein Requirements which met in Rome in 1981, Schofield et al. reviewed the literature and produced predictive equations for both sexes for the following ages: 0–3, 3–10, 10–18, 18–30, 30–60 and >60 years. These formed the basis for the equations used in 1985 FAO/WHO/UNU document, Energy and Protein Requirements.While Schofield's analysis has served a significant role in re-establishing the importance of using basal metabolic rate (BMR) to predict human energy requirements, recent workers have subsequently queried the universal validity and application of these equations. A survey of the most recent studies (1980–2000) in BMR suggests that in most cases the current FAO/WHO/UNU predictive equations overestimate BMR in many communities. The FAO/WHO/UNU equations to predict BMR were developed using a database that contained a disproportionate number – 3388 out of 7173 (47%) – of Italian subjects. The Schofield database contained relatively few subjects from the tropical region.The objective here is to review the historical development in the measurement and application of BMR and to critically review the Schofield et al. BMR database presenting a series of new equations to predict BMR.DesignThis division, while arbitrary, will enable readers who wish to omit the historical review of BMR to concentrate on the evolution of the new BMR equations.SettingBMR data collected from published and measured values.SubjectsA series of new equations (Oxford equations) have been developed using a data set of 10 552 BMR values that (1) excluded all the Italian subjects and (2) included a much larger number (4018) of people from the tropics.ResultsIn general, the Oxford equations tend to produce lower BMR values than the current FAO/WHO/UNU equations in 18–30 and 30–60 year old males and in all females over 18 years of age.ConclusionsThis is an opportune moment to re-examine the role and place of BMR measurements in estimating total energy requirements today. The Oxford equations' future use and application will surely depend on their ability to predict more accurately the BMR in contemporary populations.

scholarly journals Association Between Basal Metabolic Rate and All-Cause Mortality in a Prospective Cohort of Southern Chinese Adults

2022 ◽  
Vol 12 ◽  
Author(s):  
Fengyu Han ◽  
Feng Hu ◽  
Tao Wang ◽  
Wei Zhou ◽  
Linjuan Zhu ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Basal Metabolic Rate ◽  
The Elderly ◽  
Chinese Adults ◽  
Elderly Male ◽  
Elderly Individuals ◽  
Southern Chinese ◽  
All Cause Mortality ◽  
The Relationship ◽  
Male Subjects

Objective: The aim of this study was to assess the relationship between basal metabolic rate (BMR) and all-cause mortality in southern Chinese adults.Methods: We prospectively examined the relationship between BMR and all-cause mortality in 12,608 Southern Chinese adults with age ≥ 35 years who participated in the National Key R&D Program from 2013–2014 to 2019–2020. Cox proportional hazard models were used to examine the association between BMR and all-cause mortality.Results: A total of 809 deaths (including 478 men and 331 women) occurred during a median follow-up period of 5.60 years. All-cause mortality was higher in elderly individuals than in non-elderly individuals (11.48 vs. 2.04%, P < 0.001) and was higher in male subjects than in female subjects (9.84 vs. 4.56%, P < 0.001). There was a significantly inverse relationship between BMR levels and all-cause mortality in elderly male individuals (adjusted-HR per SD increase: 0.80, 95% CI: 0.70–0.91, P < 0.001). Compared with BMR levels ≤ 1,115 kJ/day, there was lower all-cause mortality in third and highest BMR quartiles in the elderly male subjects (adjusted-HR: 0.71, 95% CI: 0.53–0.95, P = 0.022; adjusted-HR: 0.60, 95% CI: 0.43–0.84, P = 0.003, respectively).Conclusion: An elevated BMR was independently inversely associated with all-cause mortality in elderly male subjects in a southern Chinese population.

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