Rachel Matthews,Christoph Höchsmann,Melissa L Erickson,James L Dorling,Guillaume Spielmann,Neil M Johannsen,Timothy S Church,Corby K Martin
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Every 2 weeks for the initial 8 weeks and monthly thereafter, EE was measured via indirect calorimetry during absolute (2 mph, 0% grade) and relative (65-85% VO2peak) workload exercise. Resting metabolic rate, VO2peak, and body composition were assessed at baseline and follow-up. An EE offset factor (EOF) was calculated to express measured EE as a percentage of the estimated EE at each workload (EOF < 100% represents an overestimation of ACSM estimated EE).\r\n\r\nRESULTS\r\nThe accuracy of the equation decreased with increasing exercise workload (0.44%, 9.2%, and 20.3% overestimation at absolute, relative, and maximal workloads, respectively, at baseline) and overestimation of EE was greater after the exercise intervention. Furthermore, race, sex, age, fat mass, and VO2peak were identified as modulators for equation accuracy. Greater overestimation of EE was observed in Black compared to white females, particularly at lower exercise workloads.\r\n\r\nCONCLUSIONS\r\nThese findings support future efforts to improve the accuracy of metabolic equations, especially in diverse populations. Researchers should account for exercise efficiency adaptations when using metabolic equations to prescribe exercise precisely.","PeriodicalId":18500,"journal":{"name":"Medicine & Science in Sports & Exercise","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modulators of Energy Expenditure Accuracy in Adults with Overweight or Obesity: E-MECHANIC Secondary Analyses.\",\"authors\":\"Rachel Matthews,Christoph Höchsmann,Melissa L Erickson,James L Dorling,Guillaume Spielmann,Neil M Johannsen,Timothy S Church,Corby K Martin\",\"doi\":\"10.1249/mss.0000000000003583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PURPOSE\\r\\nAmerican College of Sports Medicine (ACSM) metabolic equations are used to estimate energy expenditure (EE) of physical activity and prescribe aerobic exercise to meet EE requirements. 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An EE offset factor (EOF) was calculated to express measured EE as a percentage of the estimated EE at each workload (EOF < 100% represents an overestimation of ACSM estimated EE).\\r\\n\\r\\nRESULTS\\r\\nThe accuracy of the equation decreased with increasing exercise workload (0.44%, 9.2%, and 20.3% overestimation at absolute, relative, and maximal workloads, respectively, at baseline) and overestimation of EE was greater after the exercise intervention. Furthermore, race, sex, age, fat mass, and VO2peak were identified as modulators for equation accuracy. Greater overestimation of EE was observed in Black compared to white females, particularly at lower exercise workloads.\\r\\n\\r\\nCONCLUSIONS\\r\\nThese findings support future efforts to improve the accuracy of metabolic equations, especially in diverse populations. 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引用次数: 0
摘要
目的美国运动医学学院(ACSM)的代谢方程用于估算身体活动的能量消耗(EE),并规定有氧运动以满足EE要求。在对超重或肥胖的久坐成人进行受控运动干预时,支持其准确性的证据有限。本研究的目的是在为期 24 周的有氧运动干预过程中,比较 ACSM 步行方程估算的 EE 与间接热量计测量的 EE,并确定影响其准确性的潜在调节因素。在最初的 8 周内,每两周一次,之后每月一次,在绝对(2 英里/小时,0% 坡度)和相对(65-85% VO2 峰值)工作量运动时,通过间接热量计测量 EE。在基线和随访期间对静息代谢率、VO2 峰值和身体成分进行了评估。结果该方程的准确性随着运动负荷的增加而降低(基线时绝对、相对和最大运动负荷下的高估率分别为0.44%、9.2%和20.3%),运动干预后EE的高估率更高。此外,种族、性别、年龄、脂肪量和 VO2 峰值被认为是等式准确性的调节因素。与白人女性相比,黑人女性的 EE 被高估得更多,尤其是在运动负荷较低的情况下。研究人员在使用代谢方程精确规定运动量时,应考虑运动效率的适应性。
Modulators of Energy Expenditure Accuracy in Adults with Overweight or Obesity: E-MECHANIC Secondary Analyses.
PURPOSE
American College of Sports Medicine (ACSM) metabolic equations are used to estimate energy expenditure (EE) of physical activity and prescribe aerobic exercise to meet EE requirements. Limited evidence supports their accuracy in sedentary adults with overweight or obesity during controlled exercise interventions. The purpose of this study was to compare EE estimated by the ACSM walking equation versus EE measured by indirect calorimetry during a 24-week aerobic exercise intervention, and identify potential modulators for their accuracy.
METHODS
Data from the exercising groups (8 or 20 kcal·kg body weight-1·week-1) of the E-MECHANIC study were utilized in this ancillary analysis (N = 103). Every 2 weeks for the initial 8 weeks and monthly thereafter, EE was measured via indirect calorimetry during absolute (2 mph, 0% grade) and relative (65-85% VO2peak) workload exercise. Resting metabolic rate, VO2peak, and body composition were assessed at baseline and follow-up. An EE offset factor (EOF) was calculated to express measured EE as a percentage of the estimated EE at each workload (EOF < 100% represents an overestimation of ACSM estimated EE).
RESULTS
The accuracy of the equation decreased with increasing exercise workload (0.44%, 9.2%, and 20.3% overestimation at absolute, relative, and maximal workloads, respectively, at baseline) and overestimation of EE was greater after the exercise intervention. Furthermore, race, sex, age, fat mass, and VO2peak were identified as modulators for equation accuracy. Greater overestimation of EE was observed in Black compared to white females, particularly at lower exercise workloads.
CONCLUSIONS
These findings support future efforts to improve the accuracy of metabolic equations, especially in diverse populations. Researchers should account for exercise efficiency adaptations when using metabolic equations to prescribe exercise precisely.