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PP178-SUN: Energy Expenditure Phenotyping in Response to Low-Intensity Physical Activity in Untrained Humans: Validation During Low Power Cycling
S86
Poster presentations
Results: See the table. Table: Comparison between measured and predicted REE (kcal/d)
All (N = 61) Male (N = 33) Female (N = 28)
REE measured (SD)
REE predicted (SD)
Difference pred meas (SD)
1339 (357) 1343 (380) 1335 (335)
1620 (254) 1718 (236) 1504 (227)
281 (284)** 376 (314)** 169 (195)**
**P < 0.0001 Paired T-test.
Mean fat free mass index (FFMI) was 18.4 kg/m2 (SD 3.6) in males and 16.7 kg/m2 (SD 2.9) in females. In 39% of the males FFMI was below 17.4 (5th percentile) and in 25% of females FFMI was below 15.0 kg/m2 (5th percentile). Mean fat mass index (FMI) was 6.8 kg/m2 (SD 3.6) in males and 10.7 kg/m2 (SD 4.4) in females. FMI was low in 14% of males (<4.0 kg/m2 ) and 9% of females (<4.8 kg/m2 ) and high in 54% of males (>5.1 kg/m2 ) and 73% of females (>8.2 kg/m2 ). Mean REE/kg FFM was 25.6 kcal/kg (SD 6.1). REE measured correlated significantly with body weight (R = 0.62), FFM (R = 0.59) and FM (R = 0.47) but the difference between measured and predicted REE did not correlate with body compartment measures. Conclusion: REE is substantially decreased in MD. Changes in body composition do not explain this decrease. Metabolic changes might play a role. For the assessment of caloric needs in individual patients it is advisable to measure REE. Disclosure of Interest: None Declared.
PP177-SUN PORTABLE INDIRECT CALORIMETRY FOR ESTIMATING RESTING METABOLIC RATE BOTH RELIABLE AND FEASIBLE IN COMMUNITY DIETETICS J.A. Langius1,2 , A. Steensma1 , C.X. Kaloter1 , P.M. Groen1 , F.M. Vlieland1 , W.A. Visser1 , D.W. Voskuil1 . 1 Department of Nutrition and Dietetics, The Hague University of Applied Sciences, The Hague, 2 Department of Nutrition and Dietetics, Internal Medicine, VU University Medical Center Amsterdam, Amsterdam, Netherlands Rationale: Indirect calorimetry measuring O2 and CO2 is a standard but expensive way to assess energy expenditure. New portable and more affordable indirect calorimeters, measuring only O2, have improved accessibility for community dietetic practices (CDP). They are properly validated [1]. However, reliability and feasibility in CDP may be limited due to difficulties in keeping the strict (pre)measurement protocol. Objective: To assess test retest reliability of a desktop indirect calorimeter (FitMateRMR, Cosmed) in identical and different circumstances, and to study dietitians’ and clients’ perception of feasibility in CDP. Methods: Test retest reliability was studied by intra-class correlation coefficients (ICC) in a total of 70 healthy individuals under identical and different circumstances, i.e., fasting vs light breakfast, no vs light exercise, supine vs sitting position and morning vs afternoon. To study feasibility, 8 dietitians and 8 clients were interviewed after conducting and experiencing a RMR measurement resp. Semi-structured interviews were audio-recorded and transcribed. Data were analyzed thematically and segments of text were identified and labeled. Results: All ICC’s were higher than 0.70, suggesting sufficient reliability. The highest ICC (0.96; mean difference 44 kcal)
was found for repeated measurements under identical circumstances on the same day. The lowest ICC (0.71; mean difference 141 kcal) was found for different circumstances (fasting vs non-fasting) on different days. Dietitians found RMR assessment applicable in their dietetic practice and expected it to improve personalized counseling. Clients experienced no barriers for RMR measurement and expected it to increase their insight in energy balance and diet. Conclusion: Estimating RMR using the FitMateRMR is sufficiently to excellent reliable, and feasible to implement in CDP. References [1] Nieman et al, Res Sports Med 2006; 14: 89 96. Disclosure of Interest: None Declared.
PP178-SUN ENERGY EXPENDITURE PHENOTYPING IN RESPONSE TO LOW-INTENSITY PHYSICAL ACTIVITY IN UNTRAINED HUMANS: VALIDATION DURING LOW POWER CYCLING E.-J. Fares1 , L. Isacco1 , N. Charri` ere1 , J. Miles-Chan1 , 1 1 J.-P. Montani , Y. Schutz , A.G. Dulloo1 . 1 Department of Medicine, Division of Physiology, University of Fribourg, Fribourg, Switzerland Rationale: Standardized approaches to study human energy expenditure (EE) are well defined at rest (as basal metabolic rate and thermic effect of feeding), but not in relation to lowintensity physical activities compatible with daily life. Our aim was to develop and validate a standardized test, using the bicycle ergometer, for assessing the energy cost of lowintensity dynamic work by linear regression across the range of low power output cycling. Methods: EE was assessed by face-mask indirect calorimetry during cycling for 5 min each at no-load, 5W, 10W, 15W, 20W, 30W, 40W, 50W, and the steady-state EE were then plotted against power load. All studies were conducted in overnight fasted young healthy untrained men and women (n = 15) of normal BMI, and repeatability assessed in 6 subjects on 3 separate days for each subject. Results: Within the low power range of cycling, a strong linearity of the EE vs power relationship was observed between 10 50W for every subject (r > 0.98); the slope and its reciprocal delta efficiency (Mean: 28.3%, SD: 2.3%) showing low inter- and intra-individual variability, with the coefficient of variability (CV) being ~6%, independently of gender. Conclusion: This standardized and validated approach to study human delta efficiency in response to low-intensity cycling open up new avenues for research in human EE phenotyping with implications for research in metabolic predisposition to leanness and fatness. Disclosure of Interest: None Declared.
Poster presentations
Results: See the table. Table: Comparison between measured and predicted REE (kcal/d)
All (N = 61) Male (N = 33) Female (N = 28)
REE measured (SD)
REE predicted (SD)
Difference pred meas (SD)
1339 (357) 1343 (380) 1335 (335)
1620 (254) 1718 (236) 1504 (227)
281 (284)** 376 (314)** 169 (195)**
**P < 0.0001 Paired T-test.
Mean fat free mass index (FFMI) was 18.4 kg/m2 (SD 3.6) in males and 16.7 kg/m2 (SD 2.9) in females. In 39% of the males FFMI was below 17.4 (5th percentile) and in 25% of females FFMI was below 15.0 kg/m2 (5th percentile). Mean fat mass index (FMI) was 6.8 kg/m2 (SD 3.6) in males and 10.7 kg/m2 (SD 4.4) in females. FMI was low in 14% of males (<4.0 kg/m2 ) and 9% of females (<4.8 kg/m2 ) and high in 54% of males (>5.1 kg/m2 ) and 73% of females (>8.2 kg/m2 ). Mean REE/kg FFM was 25.6 kcal/kg (SD 6.1). REE measured correlated significantly with body weight (R = 0.62), FFM (R = 0.59) and FM (R = 0.47) but the difference between measured and predicted REE did not correlate with body compartment measures. Conclusion: REE is substantially decreased in MD. Changes in body composition do not explain this decrease. Metabolic changes might play a role. For the assessment of caloric needs in individual patients it is advisable to measure REE. Disclosure of Interest: None Declared.
PP177-SUN PORTABLE INDIRECT CALORIMETRY FOR ESTIMATING RESTING METABOLIC RATE BOTH RELIABLE AND FEASIBLE IN COMMUNITY DIETETICS J.A. Langius1,2 , A. Steensma1 , C.X. Kaloter1 , P.M. Groen1 , F.M. Vlieland1 , W.A. Visser1 , D.W. Voskuil1 . 1 Department of Nutrition and Dietetics, The Hague University of Applied Sciences, The Hague, 2 Department of Nutrition and Dietetics, Internal Medicine, VU University Medical Center Amsterdam, Amsterdam, Netherlands Rationale: Indirect calorimetry measuring O2 and CO2 is a standard but expensive way to assess energy expenditure. New portable and more affordable indirect calorimeters, measuring only O2, have improved accessibility for community dietetic practices (CDP). They are properly validated [1]. However, reliability and feasibility in CDP may be limited due to difficulties in keeping the strict (pre)measurement protocol. Objective: To assess test retest reliability of a desktop indirect calorimeter (FitMateRMR, Cosmed) in identical and different circumstances, and to study dietitians’ and clients’ perception of feasibility in CDP. Methods: Test retest reliability was studied by intra-class correlation coefficients (ICC) in a total of 70 healthy individuals under identical and different circumstances, i.e., fasting vs light breakfast, no vs light exercise, supine vs sitting position and morning vs afternoon. To study feasibility, 8 dietitians and 8 clients were interviewed after conducting and experiencing a RMR measurement resp. Semi-structured interviews were audio-recorded and transcribed. Data were analyzed thematically and segments of text were identified and labeled. Results: All ICC’s were higher than 0.70, suggesting sufficient reliability. The highest ICC (0.96; mean difference 44 kcal)
was found for repeated measurements under identical circumstances on the same day. The lowest ICC (0.71; mean difference 141 kcal) was found for different circumstances (fasting vs non-fasting) on different days. Dietitians found RMR assessment applicable in their dietetic practice and expected it to improve personalized counseling. Clients experienced no barriers for RMR measurement and expected it to increase their insight in energy balance and diet. Conclusion: Estimating RMR using the FitMateRMR is sufficiently to excellent reliable, and feasible to implement in CDP. References [1] Nieman et al, Res Sports Med 2006; 14: 89 96. Disclosure of Interest: None Declared.
PP178-SUN ENERGY EXPENDITURE PHENOTYPING IN RESPONSE TO LOW-INTENSITY PHYSICAL ACTIVITY IN UNTRAINED HUMANS: VALIDATION DURING LOW POWER CYCLING E.-J. Fares1 , L. Isacco1 , N. Charri` ere1 , J. Miles-Chan1 , 1 1 J.-P. Montani , Y. Schutz , A.G. Dulloo1 . 1 Department of Medicine, Division of Physiology, University of Fribourg, Fribourg, Switzerland Rationale: Standardized approaches to study human energy expenditure (EE) are well defined at rest (as basal metabolic rate and thermic effect of feeding), but not in relation to lowintensity physical activities compatible with daily life. Our aim was to develop and validate a standardized test, using the bicycle ergometer, for assessing the energy cost of lowintensity dynamic work by linear regression across the range of low power output cycling. Methods: EE was assessed by face-mask indirect calorimetry during cycling for 5 min each at no-load, 5W, 10W, 15W, 20W, 30W, 40W, 50W, and the steady-state EE were then plotted against power load. All studies were conducted in overnight fasted young healthy untrained men and women (n = 15) of normal BMI, and repeatability assessed in 6 subjects on 3 separate days for each subject. Results: Within the low power range of cycling, a strong linearity of the EE vs power relationship was observed between 10 50W for every subject (r > 0.98); the slope and its reciprocal delta efficiency (Mean: 28.3%, SD: 2.3%) showing low inter- and intra-individual variability, with the coefficient of variability (CV) being ~6%, independently of gender. Conclusion: This standardized and validated approach to study human delta efficiency in response to low-intensity cycling open up new avenues for research in human EE phenotyping with implications for research in metabolic predisposition to leanness and fatness. Disclosure of Interest: None Declared.