Abstract
Prediction equations for calculating resting metabolic rate (RMR) are widely used given their accessibility and low cost. However, they have not been yet validated in the amputee athlete population.
Objective:
to determine the concordance between the RMR measured by Indirect Calorimetry (IC) and that calculated by prediction equations in athletes with lower limb amputation in Bogota.
Subjects and methods:
sixteen adult male athletes with lower limb amputation were included. The RMR was measured with IC and calculated with the Harris-Benedict, Cunningham, Mifflin-St. Jeor, Schofield, and Oxford prediction equations. Three different body mass variables were used: total body mass (TBM) and lean body mass (LBM) determined by Dual Energy X-ray Absorptiometry (DEXA) and by the anthropometric method of mass fractionation into five components (5C). The agreement was determined by intraclass correlation coefficient (ICC) and plotted using the Bland-Altman method.
Results and conclusions:
RMR determined by the Cunningham equation from LBM assessed by DEXA showed the best agreement with CI (ICC= 0.709), followed by Harris-Benedict with MCT (ICC= 0.697) and Cunningham with LBM calculated by 5C (ICC= 0.693). The Cunningham and Harris-Benedict equation seems to be the most suitable for calculating RMR. However, more studies with larger samples are needed to obtain more accurate results.
Objective:
to determine the concordance between the RMR measured by Indirect Calorimetry (IC) and that calculated by prediction equations in athletes with lower limb amputation in Bogota.
Subjects and methods:
sixteen adult male athletes with lower limb amputation were included. The RMR was measured with IC and calculated with the Harris-Benedict, Cunningham, Mifflin-St. Jeor, Schofield, and Oxford prediction equations. Three different body mass variables were used: total body mass (TBM) and lean body mass (LBM) determined by Dual Energy X-ray Absorptiometry (DEXA) and by the anthropometric method of mass fractionation into five components (5C). The agreement was determined by intraclass correlation coefficient (ICC) and plotted using the Bland-Altman method.
Results and conclusions:
RMR determined by the Cunningham equation from LBM assessed by DEXA showed the best agreement with CI (ICC= 0.709), followed by Harris-Benedict with MCT (ICC= 0.697) and Cunningham with LBM calculated by 5C (ICC= 0.693). The Cunningham and Harris-Benedict equation seems to be the most suitable for calculating RMR. However, more studies with larger samples are needed to obtain more accurate results.
| Translated title of the contribution | Metabolic rate at rest by indirect calorimetry and prediction equations in athletes with amputation: Concordance analysis |
|---|---|
| Original language | Spanish (Colombia) |
| Article number | 2 |
| Pages (from-to) | 194 - 204 |
| Number of pages | 11 |
| Journal | Revista Chilena de Nutricion |
| Volume | 50 |
| Issue number | 2 |
| DOIs | |
| State | Published - May 2023 |
All Science Journal Classification (ASJC) codes
- Physical Therapy, Sports Therapy and Rehabilitation