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北京大学学报（医学版） ›› 2024, Vol. 56 ›› Issue (2): 247-252. doi: 10.19723/j.issn.1671-167X.2024.02.007

• 论著 • 上一篇    下一篇

不同体重指数青年男性的静息能量消耗特点及预测方程评价

吴一凡,玉应香,谢岚,张志达,常翠青*()   

  1. 北京大学第三医院运动医学科，北京大学运动医学研究所，运动医学关节伤病北京市重点实验室，北京 100191
  • 收稿日期:2021-12-29 出版日期:2024-04-18 发布日期:2024-04-10
  • 通讯作者: 常翠青 E-mail:changcuiqing@126.com
  • 基金资助:
    国家重点研发计划(2019YFF0301700)

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*()   

  1. 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:2021-12-29 Online:2024-04-18 Published:2024-04-10
  • Contact: Cuiqing CHANG E-mail:changcuiqing@126.com
  • Supported by:
    the Key Technologies Research and Development Program(2019YFF0301700)

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摘要：

目的: 探讨不同体重指数(body mass index，BMI)青年男性静息能量消耗(resting energy expenditure，REE)的特点，比较常见静息代谢率(resting metabolic rate, RMR)预测方程与间接测热法的差异。方法: 以2017年12月至2021年6月于北京大学第三医院运动医学科进行静息代谢测试的30名青年男性为研究对象，采用间接测热法测定RMR，采用生物电阻抗法测定体成分。分析研究对象REE的特点，并与11个常见预测方程的推算值进行比较，通过配对t检验和组内相关系数(intra-class correlation coefficient，ICC)评估两者差异。结果: 30名青年男性的平均年龄为(26.93±4.16)岁，整体RMR为(1 960.17±463.11) kcal/d (1 kcal=4.186 8 kJ)，其中BMI正常者的RMR为(1 744.33±249.62) kcal/d，显著低于超重或肥胖者[(2 104.06±520.32) kcal/d](P < 0.01)，但体质量校正后，BMI正常者的RMR显著高于超重或肥胖者[(24.02±2.61) kcal/(kg·d) vs. (19.98±4.38) kcal/(kg·d)，P < 0.01]；不同BMI受试者的RMR与体质量、脂肪量、去脂体重、体表面积、细胞外液呈显著正相关(P均 < 0.05)。11个预测方程的预测值与实测值的一致性均不佳(ICC均 < 0.75)，其中，超重或肥胖青年男性采用世界卫生组织(World Health Organization, WHO)推荐使用的RMR预测方程的预测值与实测值的一致性相对较高(ICC=0.547，P < 0.01)。结论: 不同BMI青年男性的RMR存在显著差异，超重或肥胖者要考虑体质量矫正后的RMR情况。不同预测方程的预测值与RMR的实测值一致性较差，建议通过间接测热法准确测定RMR。对于超重和肥胖的青年男性可以考虑采用WHO推荐使用的预测方程计算RMR，但有必要建立适用于不同BMI人群的RMR预测方程。

关键词: 静息代谢率, 人体质量指数, 青年人, 男性, 超重或肥胖

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.

Key words: Resting metabolic rate, Body mass index, Young adult, Male, Overweight or obese

中图分类号: 

  • R151.44

表1

青年男性RMR的预测方程"

Equation source Age/years Equation/(kcal/d) Data source
Harris, et al[10] All 66+13.7×weight (kg)+5×height (cm)-6.8×age (years) 136 men, American
Schofield[11] 18-30 15.057×weight (kg)+692.2 Meta analysis of Western countries data
WHO[12] 18-30 15.3×weight (kg)+679 Meta analysis of Western countries data
Mifflin, et al[13] NA 9.99×weight (kg)+6.25×height (cm)-4.92×age (years)+166×gender (male, 1; female, 0)-161 498 healthy subjects, American
Henry[14] 18-30 14.4×weight (kg)+3.13×height (cm)+113 Include 10 552 subjects, meta analysis
Cunningham[15] All 21.6×FFM (kg)+501.6 Meta analysis
de Lorenzo, et al[16] 18-59 [53.284×weight (kg)+20.957×height (cm)-23.859×age (years)+487]×0.239 320 healthy subjects, Italian
Owen, et al[17] 18-82 290+22.3×FFM (kg) 60 men (include obese subjects), American
Liu, et al[18] NA 13.88×weight (kg)+4.16×height (cm)-3.43×age (years)-112.40×gender (male=0; female=1)+54.34 223 healthy subjects, Chinese
Camps, et al[19] All [52.6×weight (kg)+2 788]×0.239 232 subjects (BMI: 16-41 kg/m2), Singaporean Chinese subjects
Xue, et al[20] NA 13.9×weight (kg)+247-5.39×age (years)+855 315 healthy subjects, Chinese

表2

受试对象一般情况"

Indicator Normal BMI (n=12), $\bar x \pm s$ Overweight or obese (n=18), $\bar x \pm s$ P
Age/years 26.50±2.32 27.22±5.08 0.649
Height/cm 175.66±3.56 174.79±6.39 0.674
Weight/kg 72.52±4.66 107.68±27.30 < 0.001
BMI/(kg/m2) 23.51±1.43 35.19±8.44 < 0.001
Fat mass/kg 12.70±1.91 39.92±21.24 < 0.001
Body fat rate/% 17.44±1.84 35.13±9.18 < 0.001
FFM/kg 59.83±3.25 67.76±8.09 0.003
TBW/kg 41.70±2.98 44.94±6.60 0.123
Body water/% 57.51±2.23 43.06±7.27 < 0.001
Intracellular fluid/kg 26.32±2.21 27.09±4.37 0.579
Extracellular fluid/kg 15.38±0.82 17.85±2.50 0.001
BMR/(kcal/d) 1 705.42±98.02 2 022.39±296.13 < 0.001
mRMR/(kcal/d) 1 744.33±249.62 2 104.06±520.32 < 0.001
Weight-corrected RMR/[kcal/(kg·d)] 24.02±2.61 19.98±4.38 < 0.001
FFM-corrected RMR/[kcal/(kg·d)] 29.11±3.45 30.96±6.24 0.359

表3

受试者静息代谢中三大营养素的消耗情况"

Indicator Normal BMI (n=12), $\bar x \pm s$ Overweight or obese (n=18), $\bar x \pm s$ P
EE/(kcal/d) 1 744.33±249.62 2 104.06±520.32 < 0.001
Carbohydrate
  g 196.10±136.52 157.17±56.20 0.416
  kcal/d 819.80±571.04 657.00±234.69 0.416
  % 37.50±15.69 38.00±13.76 0.937
Fat
  g 85.10±32.48 82.17±24.87 0.813
  kcal/d 804.50±307.59 777.75±234.04 0.819
  % 41.60±12.89 44.17±11.33 0.629
Protein
  g 92.20±26.91 71.83±25.98 0.088
  kcal/d 397.80±115.99 309.75±112.72 0.088
  % 21.00±8.61 17.83±6.19 0.346
npRER 0.84±0.05 0.84±0.04 0.917
UN/(g/d) 14.73±4.29 11.47±4.18 0.089

表4

实测RMR与身体成分的相关性分析(r值)"

Indicator Normal BMI (n=12) Overweight or obese (n=18)
Height 0.231 0.140
Weight 0.670* 0.560*
Body fat 0.617* 0.503*
FFM 0.600* 0.569*
BSA 0.630* 0.554*
Body water 0.523 0.529
Intracellular fluid 0.480 0.438
Extracellular fluid 0.603* 0.631**

表5

受试者实测RMR与方程预测值的对比"

Predictive equationNormal BMI (n=12) Overweight or obese (n=18)
Value/(kcal/d), $\bar x \pm s$ P Value/(kcal/d), $\bar x \pm s$ P
mRMR 1 744.33±249.62 2 104.06±520.32
BMR 1 705.42±98.02 0.529 2 022.39±296.13 0.433
Harris, et al[10] 1 762.84±71.30 0.771 2 236.99±385.60 0.230
Schofield[11] 1 784.21±70.20 0.523 2 313.50±411.09 0.063
WHO[12] 1 788.63±71.33 0.477 2 326.47±417.73 0.051
Mifflin, et al[13] 1 697.01±58.47 0.476 2 039.23±286.89 0.542
Henry[14] 1 707.17±72.44 0.551 2 210.67±399.88 0.324
Cunningham[15] 1 793.91±70.24 0.441 1 965.18±174.68 0.203
de Lorenzo, et al[16] 1 768.70±66.98 0.704 2 207.92±358.02 0.337
Owen, et al[17] 1 624.19±72.52 0.078 1 801.01±180.34 0.010
Liu, et al[18] 1 700.83±70.55 0.493 2 182.68±387.24 0.466
Camps, et al[19] 1 578.11±58.61** 0.021 2 020.04±343.24 0.423
Xue, et al[20] 1 967.26±61.84** 0.004 2 451.99±378.67** 0.004

表6

RMR预测值与实测值的一致性"

Predictive equationNormal BMI (n=12) Overweight or obese (n=18)
ICC F P ICC F P
BMR 0.402 2.346 0.086 0.482 2.859 0.018
Harris, et al[10] 0.313 1.912 0.149 0.511 3.092 0.013
Schofield[11] 0.349 2.074 0.121 0.545 3.397 0.008
WHO[12] 0.354 2.097 0.118 0.547 3.416 0.008
Mifflin, et al[13] 0.250 1.666 0.205 0.448 2.624 0.027
Henry[14] 0.352 2.084 0.119 0.539 3.339 0.009
Cunningham[15] 0.313 1.911 0.149 0.343 2.046 0.075
de Lorenzo, et al[16] 0.298 1.849 0.161 0.501 3.005 0.015
Owen, et al[17] 0.322 1.948 0.142 0.352 2.087 0.070
Liu, et al[18] 0.329 1.981 0.136 0.523 3.197 0.011
Camps, et al[19] 0.298 1.850 0.161 0.515 3.125 0.012
Xue, et al[20] 0.299 1.853 0.160 0.517 3.139 0.012
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ISSN 1671-167X
CN 11-4691/R
主管单位：中华人民共和国教育部
主办单位：北京大学
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