Characteristics of resting energy expenditure and evaluation of prediction formulas in young men with different body mass indexes

  • Yifan WU ,
  • Yingxiang YU ,
  • Lan XIE ,
  • Zhida ZHANG ,
  • Cuiqing CHANG
Expand
  • Department of Sports Medicine, Peking University Third Hospital; Institute of Sports Medicine of Peking University; Beijing Key Laboratory of Sports Injuries; Beijing 100191, China

Received date: 2021-12-29

  Online published: 2024-04-10

Supported by

the Key Technologies Research and Development Program(2019YFF0301700)

Abstract

Objective: To compare the resting energy expenditure (REE) characteristics among young men with different body mass indexes (BMI). Methods: Thirty young men [average age was (26.93±4.16) years] were enrolled in this study. They underwent resting metabolism tests in the Department of Sports Medicine of Peking University Third Hospital from December 2017 to June 2021. The resting metabolic rate (RMR) was measured by indirect calorimetry, the body composition was measured by bioresistance antibody component analyzer. The REE characteristics were analyzed, and 11 predictive equations were used to estimate RMR and compared with the measured value. The differences were analyzed by paired t-test and intra-class correlation coefficient (ICC). Results: The RMR of the overall 30 young men was (1 960.17±463.11) kcal/d (1 kcal=4.186 8 kJ). Including (1 744.33±249.62) kcal/d in those with normal BMI, which was significantly lower than that in those who were overweight or obese [(2 104.06± 520.32) kcal/d, P < 0.01], but the weight-corrected RMR in those with normal BMI was significantly higher than that in those who were overweight or obese [(24.02±2.61) kcal/(kg·d) vs. (19.98±4.38) kcal/(kg·d), P < 0.01]. The RMR was significantly and positively correlated with body weight, adiposity, lean body mass, body surface area, and extracellular fluid in the subjects with diffe-rent BMI (all P < 0.05). The predicted values of the 11 prediction equations were not in good agreement with the measured values (all ICC < 0.75), with relatively high agreement between the predicted and measured values of the World Health Organization (WHO) equation in overweight obese young men (ICC=0.547, P < 0.01). Conclusion: There were significant differences in RMR among young men with different BMI, and the RMR after weight correction should be considered for those who were overweight or obese. The consistency between the predicted values of different prediction equations and the actual measured values of RMR was relatively poor, and it is recommended to accurately measure RMR by indirect calorimetry. For overweight or obese young men, the WHO prediction equation can be considered to calculate RMR, but it is necessary to establish an RMR prediction equation applicable to different BMI populations.

Cite this article

Yifan WU , Yingxiang YU , Lan XIE , Zhida ZHANG , Cuiqing CHANG . Characteristics of resting energy expenditure and evaluation of prediction formulas in young men with different body mass indexes[J]. Journal of Peking University(Health Sciences), 2024 , 56(2) : 247 -252 . DOI: 10.19723/j.issn.1671-167X.2024.02.007

References

1 Speakman JR , Selman C .Physical activity and resting metabolic rate[J].Proc Nutr Soc,2003,62(3):621-634.
2 中国营养学会.中国居民膳食营养素参考摄入量(2013版)[M].北京: 科学出版社,2014:83.
3 Mtaweh H , Tuira L , Floh AA , et al.Indirect calorimetry: History, technology, and application[J].Front Pediatr,2018,6,257.
4 McMurray RG , Soares J , Caspersen CJ , et al.Examining variations of resting metabolic rate of adults: A public health perspective[J].Med Sci Sports Exerc,2014,46(7):1352-1358.
5 Ocagli H , Lanera C , Azzolina D , et al.Resting energy expenditure in the elderly: Systematic review and comparison of equations in an experimental population[J].Nutrients,2021,13(2):458.
6 中国医疗保健国际交流促进会营养与代谢管理分会, 中国营养学会临床营养分会, 中华医学会糖尿病学分会, 等.中国超重/肥胖医学营养治疗指南(2021)[J].中国医学前沿杂志: 电子版,2021,13(11):1-55.
7 赵松山, 刘友梅, 姚家邦, 等.中国成年男子体表面积的测量[J].营养学报,1984,6(2):87-95.
8 Compher C , Frankenfield D , Keim N , et al.Best practice methods to apply to measurement of resting metabolic rate in adults: A systematic review[J].J Am Diet Assoc,2006,106(6):881-903.
9 Weir JB .New methods for calculating metabolic rate with special reference to protein metabolism[J].J Physiol,1949,109(1/2):1-9.
10 Harris JA , Benedict FG .A biometric study of human basal meta-bolism[J].Proc Natl Acad Sci USA,1918,4(12):370-373.
11 Schofield WN .Predicting basal metabolic rate, new standards and review of previous work[J].Hum Nutr Clin Nutr,1985,39(Suppl 1):5-41.
12 Energy and protein requirements .Report of a joint FAO/WHO/UNU expert consultation[J].World Health Organ Tech Rep Ser,1985,724,1-206.
13 Mifflin MD , St Jeor ST , Hill LA , et al.A new predictive equation for resting energy expenditure in healthy individuals[J].Am J Clin Nutr,1990,51(2):241-247.
14 Henry CJ .Basal metabolic rate studies in humans: measurement and development of new equations[J].Public Health Nutr,2005,8(7A):1133-1152.
15 Cunningham JJ .A reanalysis of the factors influencing basal metabolic rate in normal adults[J].Am J Clin Nutr,1980,33(11):2372-2374.
16 de Lorenzo A , Tagliabue A , Andreoli A , et al.Measured and predicted resting metabolic rate in Italian males and females, aged 18-59 y[J].Eur J Clin Nutr,2001,55(3):208-214.
17 Owen OE , Holup JL , D'Alessio DA , et al.A reappraisal of the caloric requirements of men[J].Am J Clin Nutr,1987,46(6):875-885.
18 Liu HY , Lu YF , Chen WJ .Predictive equations for basal metabolic rate in Chinese adults: A cross-validation study[J].J Am Diet Assoc,1995,95(12):1403-1408.
19 Camps SG , Wang NX , Tan WS , et al.Estimation of basal metabolic rate in Chinese: Are the current prediction equations applicable?[J].Nutr J,2016,15(1):79.
20 Xue J , Li S , Zhang Y , et al.Accuracy of predictive resting-metabolic-rate equations in Chinese mainland adults[J].Int J Environ Res Public Health,2019,16(15):2747.
21 Mao Q , Wu JH , Huang CY , et al.Basal Energy Expenditure of Chinese healthy adults: Comparison of measured and predicted values[J].Biomed Environ Sci,2020,33(8):566-572.
22 刘燕萍, 陈伟, 毛德倩, 等.间接测热法测定北京成年居民基础代谢率及与身体成分的相关性[J].协和医学杂志,2013,4(1):11-14.
23 张莹, 吴景欢, 洪平, 等.北京市超重和肥胖成人基础代谢率的研究[J].卫生研究,2016,45(5):739-742.
24 中华人民共和国中央人民政府. 国务院新闻办就《中国居民营养与慢性病状况报告(2020年)》有关情况举行发布会[EB/OL]. (2020-12-24)[2021-12-22]. http://www.gov.cn/xinwen/2020-12/24/content_5572983.htm.
25 许晓丽, 李淑娟, 卓勤, 等.2010—2012年中国不同工作强度在职人员能量和宏量营养素摄入状况[J].卫生研究,2021,50(3):415-420.
26 谢海雁, 于康, 安奇志, 等.代谢车间接测热法、公式推测法及人体成分测定法用于测定静息能量消耗的比较[J].中华临床营养杂志,2018,26(2):90-93.
27 汪锡, 王远, 许杨, 等.非肥胖健康成人静息代谢率预测公式准确性研究[J].北京生物医学工程,2017,36(6):607-613.
Outlines

/