Energy Expenditure of Level Overground Walking in Young Adults: Comparison With Prediction Equations

2021 ◽  
pp. 1-8
Author(s):  
Jingjing Xue ◽  
Shuo Li ◽  
Rou Wen ◽  
Ping Hong
Keyword(s):  
Young Adults ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Energy Cost ◽  
Sports Medicine ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Overground Walking ◽  
All Speeds ◽  
Walking Energy Cost

Background: The purpose of this study was to investigate the accuracy of the published prediction equations for determining level overground walking energy cost in young adults. Methods: In total, 148 healthy young adults volunteered to participate in this study. Resting metabolic rate and energy expenditure variables at speeds of 4, 5, and 6 km/h were measured by indirect calorimetry, walking energy expenditure was estimated by 3 published equations. Results: The gross and net metabolic rate per mile of level overground walking increased with increased speed (all P < .01). Females were less economical than males. The present findings revealed that the American College of Sports Medicine and Pandolf et al equations significantly underestimated the energy cost of overground walking at all speeds (all P < .01) in young adults. The percentage mean bias for American College of Sports Medicine, Pandolf et al, and Weyand et al was 12.4%, 16.8%, 1.4% (4 km/h); 21.6%, 15.8%, 7.1% (5 km/h); and 27.6%, 12%, 6.6% (6 km/h). Bland–Altman plots and prediction error analysis showed that the Weyand et al was the most accurate in 3 existing equations. Conclusions: The Weyand et al equation appears to be the most suitable for the prediction of overground walking energy expenditure in young adults.

scholarly journals Resting metabolic rate following sport concussion: A preliminary analysis

Neurology ◽  
2018 ◽  
Vol 91 (23 Supplement 1) ◽  
pp. S24.2-S25
Author(s):  
Samuel R Walton ◽  
Candace Bernitt ◽  
Brooke Daniell ◽  
Steven Malin ◽  
Jacob Resch
Keyword(s):  
High School ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Student Athletes ◽  
Resting Metabolic Rate ◽  
Whole Body ◽  
Prediction Equations ◽  
Sport Concussion ◽  
Over Time ◽  
Time Point

ObjectiveAlterations in energy expenditure have been observed following moderate and severe traumatic brain injury (TBI) in animals and humans. However, few data exist characterizing how mild TBI, specifically concussion, affects whole-body energy expenditure. The purpose of this study was to examine resting metabolic rate (RMR) following sport concussion in university and high school student-athletes.MethodsConcussed participants were recruited from a university and local high schools. Concussion diagnosis was made by an athletic trainer or physician. Participants could have no other concurrent injury (e.g., fracture). RMR was determined by indirect calorimetry (VMax Metabolic Cart) with a ventilated hood < 72 hours following a diagnosed concussion (T1), 7 days after T1 (T2), and 7 days after T2 (T3). Predicted RMR (pRMR) was also calculated using 3 validated equations: Harris-Benedict (HB), Mifflin-St. Jeor (MSJ) and Schofield (SCH). These equations were used to examine the magnitude of change in RMR following concussion. Measured and predicted values were compared at each time point using percentages ([RMR/pRMR] × 100). Changes over time in measured RMR were assessed using a repeated measures ANOVA.ResultsTwelve concussed participants (aged 17.7 + 2.15 years, BMI 21.8 + 2.94) completed T1 at 1.8 + 0.84 days post-injury. There were 3 participants of each sex from each academic setting (university and high school). Measured RMR percent of pRMR was below 100% at each time point post-concussion (T1: HB = 53% + 7.6%, MSJ = 55% + 8.6%, SCH = 53% + 9.1%; T2: HB = 54% + 6.6%, MSJ = 56% + 6.7%, SCH = 53% + 8.1%; and T3: HB = 57% + 8.5%, MSJ = 59% + 9.6%, SCH = 57% + 9.0%). Additionally, measured RMR did not change over time (T1 = 909 + 226.0 kcal, T2 = 905 + 154.5 kcal, T3 = 975 + 266.7 kcal; F2 = 1.348, p = 0.28).ConclusionsConcussed student-athletes appear to have suppressed resting metabolism of about 40% following injury when compared with validated prediction equations. Although future studies are needed to confirm our findings by comparing concussed participants to healthy-matched controls, these preliminary data suggest use of prediction equations to estimate concussed student-athletes' dietary energy requirements should be used with caution.

Reliability and Accuracy of the AMP 331 for Activity Monitoring and Energy Expenditure Prediction in Young Adults

2006 ◽  
Vol 3 (3) ◽  
pp. 277-291 ◽  
Author(s):  
Benjamin J. Darter ◽  
Kathleen F. Janz ◽  
Michael L. Puthoff ◽  
Barbara Broffitt ◽  
David H. Nielsen
Keyword(s):  
Young Adults ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Energy Cost ◽  
Step Length ◽  
Prediction Equations ◽  
Free Living ◽  
Novel Approach ◽  
Walking Speeds ◽  
Adult Volunteers

Background:A new triaxial accelerometer (AMP 331) provides a novel approach to understanding free-living activity through its ability to measure real time speed, cadence, and step length. This study examined the reliability and accuracy of the AMP 331, along with construction of prediction equations for oxygen consumption and energy cost.Methods:Young adult volunteers (n = 41) wearing two AMP units walked and ran on a treadmill with energy cost data simultaneously collected through indirect calorimetry.Results:Statistically significant differences exist in inter-AMP unit reliability for speed and step length and in accuracy between the AMP units and criterion measures for speed, oxygen consumption, and energy cost. However, the differences in accuracy for speed were very small during walking (≤ 0.16 km/h) and not clinically relevant. Prediction equations constructed for walking oxygen uptake and energy expenditure demonstrated R2 between 0.76 to 0.90 and between subject deviations were 1.53 mL O2 · kg-1 · min−1 and 0.43 kcal/min.Conclusions:In young adults, the AMP 331 is acceptable for monitoring walking speeds and the output can be used in predicting energy cost during walking but not running.

scholarly journals Reliability of resting metabolic rate measurements in young adults: Impact of methods for data analysis

2018 ◽  
Vol 37 (5) ◽  
pp. 1618-1624 ◽  
Author(s):  
Guillermo Sanchez-Delgado ◽  
Juan M.A. Alcantara ◽  
Lourdes Ortiz-Alvarez ◽  
Huiwen Xu ◽  
Borja Martinez-Tellez ◽  
...  
Keyword(s):  
Young Adults ◽  
Data Analysis ◽  
Metabolic Rate ◽  
Resting Metabolic Rate

Determination of total energy expenditure, resting metabolic rate and physical activity in lean and overweight people

1997 ◽  
Vol 36 (4) ◽  
pp. 310-312 ◽  
Author(s):  
F. Thielecke ◽  
J. Möseneder ◽  
A. Kroke ◽  
K. Klipstein-Grobusch ◽  
H. Boeing ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Total Energy ◽  
Resting Metabolic Rate ◽  
Total Energy Expenditure ◽  
Overweight People

scholarly journals Dietary Intake and Energy Expenditure in Breast Cancer Survivors: A Review

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3394
Author(s):  
Sarah A. Purcell ◽  
Ryan J. Marker ◽  
Marc-Andre Cornier ◽  
Edward L. Melanson
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Metabolic Rate ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Resting Metabolic Rate ◽  
Fat Free Mass

Many breast cancer survivors (BCS) gain fat mass and lose fat-free mass during treatment (chemotherapy, radiation, surgery) and estrogen suppression therapy, which increases the risk of developing comorbidities. Whether these body composition alterations are a result of changes in dietary intake, energy expenditure, or both is unclear. Thus, we reviewed studies that have measured components of energy balance in BCS who have completed treatment. Longitudinal studies suggest that BCS reduce self-reported energy intake and increase fruit and vegetable consumption. Although some evidence suggests that resting metabolic rate is higher in BCS than in age-matched controls, no study has measured total daily energy expenditure (TDEE) in this population. Whether physical activity levels are altered in BCS is unclear, but evidence suggests that light-intensity physical activity is lower in BCS compared to age-matched controls. We also discuss the mechanisms through which estrogen suppression may impact energy balance and develop a theoretical framework of dietary intake and TDEE interactions in BCS. Preclinical and human experimental studies indicate that estrogen suppression likely elicits increased energy intake and decreased TDEE, although this has not been systematically investigated in BCS specifically. Estrogen suppression may modulate energy balance via alterations in appetite, fat-free mass, resting metabolic rate, and physical activity. There are several potential areas for future mechanistic energetic research in BCS (e.g., characterizing predictors of intervention response, appetite, dynamic changes in energy balance, and differences in cancer sub-types) that would ultimately support the development of more targeted and personalized behavioral interventions.

scholarly journals A VALIDATION OF 4 RESTING METABOLIC RATE PREDICTION EQUATIONS WHICH INCORPORATE DIFFERENT DODY SIZE INDICES

1992 ◽  
Vol 24 (Supplement) ◽  
pp. S10
Author(s):  
J. Morrill ◽  
J. Chronchio ◽  
S. Volpe-Snyder ◽  
P. S. Freedson ◽  
A. F. Maliszcwski
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Prediction Equations ◽  
Rate Prediction

Accuracy of resting metabolic rate prediction equations among healthy adults in Trinidad and Tobago

2020 ◽  
pp. 026010602096623
Author(s):  
Selby Nichols ◽  
Dennora George ◽  
Patrice Prout ◽  
Nequesha Dalrymple
Keyword(s):  
Metabolic Rate ◽  
Standard Procedure ◽  
Resting Metabolic Rate ◽  
Demographic Variables ◽  
Overweight And Obesity ◽  
Accurate Estimation ◽  
Prediction Equations ◽  
The Caribbean ◽  
The University ◽  
Adult Volunteers

Background: Over 50% of adults in Latin America and the Caribbean have a body mass index (BMI) ≥ 25 suggesting excess energy intakes relative to energy expenditure. Accurate estimation of resting metabolic rate (RMR), the largest component of total energy requirements, is crucial to strategies aimed at reducing the prevalence and incidence of overweight and obesity. Aim: We evaluated the accuracies of established and locally developed RMR prediction equations (RMRP) among adults. Methods: Four hundred adult volunteers ages 20 to 65 years had RMR measured (RMRM) with a MedGem® indirect calorimeter according to recommended procedures. RMRP were compared to RMRM with values ± 10% of RMRM deemed accurate. Anthropometry was measured using standard procedure. Linear regression with bootstrap analyses was used to develop local RMRP equations based on anthropometric and demographic variables. The University of the West Indies Ethics Committee approved the study. Results: Males had higher mean absolute RMR ( p < 0.001) but similar mean age-adjusted measured RMR per kg of body (20.9 vs. 21.5 kcals/day; p = 0.1) to females. The top performing established anthropometry-based RMRP among participants by sex, physical activity (PA) level and BMI status subgroups were Mifflin-St Jeor, Owen, Korth, Harris–Benedict, and Livingston, while Johnstone, Cunningham, Müller (body composition (BC)), Katch and McArdle, Mifflin-St Jeor (BC) were the most accurate BC-based RMRP. Locally developed RMRP had accuracies comparable to their top-ranked established RMRP counterparts. Conclusions: Accuracies of established RMRP depended on habitual PA level, BMI status, BC and sex. Furthermore, locally developed RMRP provide useful alternatives to established RMRP.

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