Body mass, body composition and sleeping metabolic rate before, during and after endurance training

Body mass, body composition and sleeping metabolic rate before, during and after endurance training. Westerterp KR, Meijer GA, Schoffelen P, Janssen EM. Department of Human Biology, University of Limburg, Maastricht, The Netherlands. Metabolic rate, more specifically resting metabolic rate (RMR) or sleeping metabolic rate (SMR), of an adult subject is usually expressed as a function of the fat-free mass (FFM). Chronic exercise is thought to increase FFM and thus to increase RMR and SMR. We determined body mass (BM), body composition, and SMR before, during, and after an endurance training programme without interfering with energy intake. The subjects were 11 women and 12 men, aged 37 (SD 3) years and body mass index 22.3 (SD 1.5) kg.m-2. The endurance training prepared subjects to run a half marathon competition after 44 weeks. The SMR was measured overnight in a respiration chamber. Body composition was measured by hydrostatic weighing. Measurements were performed at 0, 8, 20, 40, and 90 weeks after the start of the training. The BM had decreased from a mean value of 66.6 (SD 6.9) to 65.6 (SD 6.7) kg (P < 0.01), fat mass (FM) had decreased from 17.1 (SD 3.9) to 13.5 (SD 3.6) kg (P < 0.001), and FFM had increased from 49.5 (SD 7.3) to 52.2 (SD 7.6) kg (P < 0.001) at 40 weeks. Mean SMR before and after 40 weeks training was 6.5 (SD 0.7) and 6.2 (SD 0.6) MJ.day-1 (P < 0.05). The decrease in SMR was related to the decrease in BM (r = 0.62, P = 0.001). At 90 weeks, when most subjects had not trained for nearly a year, BM and SMR were not significantly different from the initial value while FM and FFM had not changed since week 40 of trainin

Dietary restraint and control over "wanting" following consumption of "forbidden" food.

Eating behavior can be influenced by the rewarding value of food, i.e., "liking" and "wanting." The objective of this study was to assess in normal-weight dietary restrained (NR) vs. unrestrained (NU) eaters how rewarding value of food is affected by satiety, and by eating a nonhealthy perceived, dessert-specific food vs. a healthy perceived, neutral food (chocolate mousse vs. cottage cheese). Subjects (24NR age = 25.0 +/- 8.2 years, BMI = 22.3 +/- 2.1 kg/m(2); 26NU age = 24.8 +/- 8.0 years, BMI = 22.1 +/- 1.7 kg/m(2)) came to the university twice, fasted (randomized crossover design). Per test-session "liking" and "wanting" for 72 items divided in six categories (bread, filling, drinks, dessert, sweets, stationery (placebo)) was measured, before and after consumption of chocolate mousse/cottage cheese, matched for energy content (5.6 kJ/g) and individual daily energy requirements (10%). Chocolate mousse was liked more than cottage cheese (P < 0.05). After consumption of chocolate mousse or cottage cheese, appetite and "liking" vs. placebo were decreased in NR and NU (P < 0.03), whereas "wanting" was only decreased in NR vs. NU (P </= 0.01). In NR vs. NU "wanting" was specifically decreased after chocolate mousse vs. cottage cheese; this decrease concerned especially "wanting" for bread and filling (P < 0.05). To conclude, despite similar decreases in appetite and "liking" after a meal in NR and NU, NR decrease "wanting" in contrast to NU. NR decrease "wanting" specifically for a nonhealthy perceived, "delicious," dessert-specific food vs. a nutritional identical, yet healthy perceived, slightly less "delicious," "neutral" food. A healthy perceived food may thus impose greater risk for control of energy intake in NR

Total daily energy expenditure in black and white, lean and obese South African women.

Background/Objectives:In South Africa (SA), the prevalence of obesity in women is 56%, with black women being most at risk (62%). Studies in the United States have demonstrated ethnic differences in resting (REE) and total daily energy expenditure (TDEE) between African American (AA) and their white counterparts. We investigated whether differences in EE exist in black and white SA women, explaining, in part, the ethnic obesity prevalence differences.Subjects/Methods:We measured REE, TDEE and physical activity EE (PAEE) in lean (BMI 30 kg m(-2)) SA women (N=44, 30+/-6 year). REE, TDEE, PAEE and total awake EE were measured during a 21 h stay in a respiration chamber.Results:Black and white subjects within obese and lean groups were not significantly different for age, mass, BMI and % body fat. However, fat-free mass (kg FFM) was consistently lower in the black women (P<0.01) in both weight groups. After adjusting EE measurements for differences in FFM, REE was not significantly different for either body weight or ethnicity, although 24 h TDEE (kJ) was significantly greater in the obese women (P<0.01) and white women (P<0.05). Total awake non-PAEE was not significantly different for either groups, while total awake time was only significantly lower for the lean groups (P<0.01). Total PAEE (kJ min(-1)) was significantly lower in the lean (P<0.001) and black groups (P<0.01).Conclusions:In this sample of matched, lean and obese, black and white SA women, differences in TDEE were largely explained by ethnic differences in PAEE, and were not as a result of ethnic differences in REE.European Journal of Clinical Nutrition advance online publication, 13 February 2008; doi:10.1038/ejcn.2008.8

Intra-individual variability and adaptation of overnight- and sleeping metabolic rate

The largest component of daily energy expenditure is resting energy expenditure as reflected in overnight metabolic rate (OMR) and sleeping metabolic rate (SMR). Here, we determined the variation in OMR (24:00-6:00 h) and SMR values (3 h intervals) as affected by physical activity (PA) during the day and the night. Subjects were 32 females and 17 males, age 18-52 years. Energy expenditure (EE) was measured for 36 h in a whole room calorimeter (14 m3), starting in the evening, providing values before and after behavioral limitation. The mean intra-individual coefficient of variation was 1.8+/-1.4% for SMRmin (minimum EE), 2.8+/-2.0% for SMRact (minimum PA), 2.4+/-2.5% for SMRres (minimum residual EE, residual calculated from 24 h relationship between EE and PA) and 2.8+/-2.2% for OMR (n=49). Mean clock time for SMR ranged from 3:15 till 4:13 h. EE and PA increased in the hour before awakening. Surprisingly, OMR showed a significant 2.7% increase (P<0.05) during the second night of the 36 h measurement, but only for a second visit, and was related to increased physical activity during night period (R2=0.50, P<0.001). OMR measurements following unrestricted daily activity showed identical results for first and second (repeat) visits: 6.82+/-0.86 MJ/day and 6.79+/-0.93 MJ/day (n=49), respectively. It is advised to measure SMR based on minimum residual EE during nights following free-living conditions, and to exclude EE measures 1 h before awakening from SMR and OMR calculations to prevent influences of habitual wake-up time

Intra-individual variation of basal metabolic rate and the influence of daily habitual physical activity before testing

Intra-individual variation of basal metabolic rate and the influence of daily habitual physical activity before testing. Adriaens MP, Schoffelen PF, Westerterp KR. Department of Human Biology, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands. [email protected] The present study determined the intra-individual variation of BMR measurements, using a standard out-patient protocol, with the subjects transporting themselves to the laboratory for the BMR measurements after spending the night at home. The effect of a non-fasting state and variation in daily habitual physical activity the day before testing was evaluated. Eight male and eleven female subjects participated in three BMR measurements with 2-week intervals. Physical activity was estimated with a tri-axial accelerometer for movement registration, during the 3 d before each BMR measurement. There were no significant differences in estimated BMR (ANOVA repeated measures, P=0.88) and in physical activity (ANOVA repeated measures, P=0.21). Mean within-subject CV in BMR was found to be 3.3 (SD 2.1) %, ranging from 0.4 to 7.2 %. Differences between BMR measurements could not be explained by differences in physical activity the day before; however the mean within-subject CV in BMR changed from 5.7 to 5.2 % after correcting for within-machine variability and from 5.2 to 3.3 % after excluding five measurements because of non-compliance to the protocol including fasting. In conclusion, BMR values measured with a standard out-patient protocol are sufficiently reproducible for most practical purposes despite the within-subject variability in physical activity the day before the measurement. For this purpose, however, non-fasting subjects must be excluded and a regular function check of the ventilated-hood system is recommendabl

A dual-respiration chamber system with automated calibration.

Department of Human Biology, Maastricht University, 6200 MD Maastricht, The Netherlands. [email protected] This study characterizes respiration chambers with fully automated calibration. The system consists of two 14-m3 pull-type chambers. Care was taken to provide a friendly environment for the subjects, with the possibility of social contact during the experiment. Gas analysis was automated to correct for analyzer drift and barometric pressure variations and to provide ease of use. Methods used for checking the system's performance are described. The gas-analysis repeatability was within 0.002%. Results of alcohol combustion (50-350 ml/min CO2) show an accuracy of 0.5 +/- 2.0 (SD) % for O2 consumption and -0.3 +/- 1.6% for CO2 production for 2- to 24-h experiments. It is concluded that response time is not the main factor with respect to the smallest practical measurement interval (duration); volume, mixing, gas-analysis accuracy, and levels of O2 consumption and CO2 production are at least equally important. The smallest practical interval was 15-25 min, as also found with most chamber systems described in the literature. We chose to standardize 0.5 h as the minimum measurement interval

Validity and reproducibility of VO(2)max testing in a respiration chamber

The aim of this study was to investigate whether VO(2)max can be accurately measured in a respiration chamber. Thirty participants aged 23.4 +/- 3.9 years with a wide range in VO(2)max were included. Participants performed four incremental cycle ergometer tests (VO(2)max) with a minimum of 5 days between tests. These tests consisted of one familiarization test with face mask, followed by two VO(2)max tests in the respiration chamber and one test with face mask in randomized order. Oxygen consumption and CO2 production were measured continuously using Omnical (Maastricht University, the Netherlands) gas analysis system. The mean VO(2)max was 3634 +/- 766 ml, which resulted in mean VO(2)max per lean body mass of 60.8 +/- 8.0 ml/kg. Repeated respiration chamber tests showed a high concordance, and no significant differences were detected between tests (Lin's concordance correlation coefficient (Rc) = 0.99; increment 70 +/- 302 ml/min; p = .38). There was high concordance between the mean VO(2)max from both respiration chamber tests and the mean face mask tests, and no significant difference (Rc = 0.99; increment 41 +/- 173 ml/min; p = .22) was observed. The Bland-Altman plots showed no proportional bias between different tests. In conclusion, the respiration chamber has been found to be a valid and reproducible method for measuring VO(2)max. New research opportunities are possible in the respiration chamber, such as maximal exercise testing during 24-hour measurements

Heat production and body temperature during cooling and rewarming in overweight and lean men

OBJECTIVE: To compare overweight and lean subjects with respect to thermogenesis and physiological insulation in response to mild cold and rewarming. RESEARCH METHODS AND PROCEDURES: Ten overweight men (mean BMI, 29.2 +/- 2.8 kg/m(2)) and 10 lean men (mean BMI, 21.1 +/- 2.0 kg/m(2)) were exposed to cold air for 1 hour, followed by 1 hour of rewarming. Body composition was determined by hydrodensitometry and deuterium dilution. Heat production and body temperatures were measured continuously by indirect calorimetry and thermistors, respectively. Muscle activity was recorded using electromyography. RESULTS: In both groups, heat production increased significantly during cooling (lean, p = 0.004; overweight, p = 0.006). The increase was larger in the lean group compared with the overweight group (p = 0.04). During rewarming, heat production returned to baseline in the overweight group and stayed higher compared with baseline in the lean group (p = 0.003). The difference in heat production between rewarming and baseline was larger in the lean (p = 0.01) than in the overweight subjects. Weighted body temperature of both groups decreased during cold exposure (lean, p = 0.002; overweight, p < 0.001) and did not return to baseline during rewarming. DISCUSSION: Overweight subjects showed a blunted mild cold-induced thermogenesis. The insulative cold response was not different among the groups. The energy-efficient response of the overweight subjects can have consequences for energy balance in the long term. The results support the concept of a dynamic heat regulation model instead of temperature regulation around a fixed set point. AD - Department of Human Biology, Maastricht University, Universiteitssingel 50, P.O. Box 616, 6200 MD Maastricht, The Netherlands. [email protected]