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Purpose: The purpose of this study was to compare different methods of measuring physical activity (PA) in women by the doubly labeled water method (DLW)., Methods: Thirteen subjects participated in a 7-d protocol during which total daily energy expenditure (TDEE) was measured with DLW. Body composition, basal metabolic rate (BMR), and peak oxygen consumption were also measured. Physical activity-related energy expenditure (PAEE) was then calculated by subtracting measured BMR and the estimated thermic effect of food from TDEE. Simultaneously, over the 7 d, PA was assessed via a 7-d Physical Activity Recall questionnaire (PAR), and subjects wore secured at the waist, a Tritrac-R3D (Madison, WI), a Computer Science Application Inc. activity monitor (CSA; Shalimar, FL), and a Yamax Digi Walker-500 (Tokyo, Japan). Pearson-product moment correlations were calculated to determine the relationships among the different methods for estimating PAEE. Paired t-tests with appropriate adjustments were used to compare the different methods with DLW-PAEE., Results: There was no significant difference between PAEE determined from PAR and DLW. The differences between the two methods ranged from -633 to 280 kcal.d(-1). Compared with DLW, PAEE determined from CSA, Tritrac, and Yamax was significantly underestimated by 59% (-495 kcal.d(-1)), 35% (-320 kcal.d(-1)) and 59% (-497 kcal.d(-1)), respectively. VO2peak explained 43% of the variation in DLW-PAEE., Conclusion: Although the group average for PAR-PAEE agreed with DLW-PAEE, there were differences in the methods among the subjects. PAEE determined by Tritrac, CSA, and Yamax significantly underestimate free-living PAEE in women.

Purpose: To compare four different methods of measuring physical activity (PA) in adult women under free-living conditions., Methods: Twelve women participated in a 7-d period during which PA was assessed via self-report, accelerometry and step-counting. Subjects wore at the waist a Tritrac-R3D accelerometer, a Computer Science Application Inc. activity monitor (CSA), both of which measure bodily accelerations in various planes, and a Yamax Digi-Walker-500 that records steps. After the 7-d period subjects responded to a 7-d Physical Activity Recall interview (PAR)., Results: Physical activity-related energy expenditure (PAEE) determined from PAR was significantly higher than PAEE estimated from either the Tritrac, CSA, or the Yamax data. Time spent in light, moderate, and hard physical activity was not significantly different between PAR, CSA, and Tritrac. Log-transformed activity counts from CSA were highly correlated with log-transformed Tritrac results (r > 0.90). Number of steps recorded by the Yamax was significantly correlated with untransformed Tritrac and CSA results., Conclusions: Based upon comparisons with PAR, Tritrac, CSA, and Yamax underestimate the amount of PAEE by 25, 46, and 48%, respectively. The correspondence between the Tritrac and CSA results suggests that both devices produce similar estimates of bodily movement in free-living women. The relationships among results for Tritrac, CSA, and Yamax indicate that the number of steps recorded by the Yamax is representative of the amount of physical activity performed during the day as estimated by Tritrac and CSA. These results should be useful when selecting a method to measure PA in individuals under free-living conditions.

Purpose: We determined the number of trials on consecutive days required to establish high reliability of an intermittent high-intensity cycling test in subjects unfamiliar with multiple-sprint exercise. We also examined the extent to which this reliability could be maintained for 6 d., Methods: Five untrained men performed a multiple-sprint test (10 x 7 s, with each sprint separated by 30 s) on each of four consecutive days (days 1-4), then rested for 6 d, and finally performed two additional tests on consecutive days (days 11 and 12). For statistical comparisons (analyses of variance), mean power outputs during sprints 8, 9, and 10 (MP8-10) on each test day were calculated for each of the 4th, 5th, and 6th seconds of the sprints, i.e., MP8-10(4th), MP8-10(5th), and MP8-10(6th). Peak power during each sprint was also examined., Results: For days 3 and 4, values for MP8-10(4th), MP8-10(5th), and MP8-10(6th) were greater than on day 1 (P < 0.05). MP8-10(6th) on day 2 was also greater than on day 1 (P < 0.05). There were no differences in MP8-10 among days 2, 3, 4, 11, and 12. Also, peak power on day 1 was lower (P < 0.05) than peak power for all other days, which were not different from one another. The coefficients of variation (CV) for MP8-10 on day 3 versus day 4 were 3.3%, 2.5%, and 2.9% for MP8-10(4th), MP8-10(5th), and MP8-10(6th), respectively. The CV for MP8-10(4th), MP8-10(5th), and MP8-10(6th) on days 4, 11, and 12 ranged from 2.1 to 3.9%, with an overall mean of 3.1%. The greatest CV for MP8-10 was 5.2% for MP8-10(6th) on days 2 versus 3 and 2 versus 4. The mean CV for peak power for all pairwise combinations of days 4, 11, and 12 was 2.8%., Conclusions: In conclusion, satisfactory reliability of intermittent cycling tests is achieved after two familiarization sessions identical to the tests, and that reliability can be maintained for 6 d.

It is the position of the American College of Sports Medicine that adequate fluid replacement helps maintain hydration and, therefore, promotes the health, safety, and optimal physical performance of individuals participating in regular physical activity. This position statement is based on a comprehensive review and interpretation of scientific literature concerning the influence of fluid replacement on exercise performance and the risk of thermal injury associated with dehydration and hyperthermia. Based on available evidence, the American College of Sports Medicine makes the following general recommendations on the amount and composition of fluid that should be ingested in preparation for, during, and after exercise or athletic competition: 1) It is recommended that individuals consume a nutritionally balanced diet and drink adequate fluids during the 24-hr period before an event, especially during the period that includes the meal prior to exercise, to promote proper hydration before exercise or competition. 2) It is recommended that individuals drink about 500 ml (about 17 ounces) of fluid about 2 h before exercise to promote adequate hydration and allow time for excretion of excess ingested water. 3) During exercise, athletes should start drinking early and at regular intervals in an attempt to consume fluids at a rate sufficient to replace all the water lost through sweating (i.e., body weight loss), or consume the maximal amount that can be tolerated. 4) It is recommended that ingested fluids be cooler than ambient temperature [between 15 degrees and 22 degrees C (59 degrees and 72 degrees F])] and flavored to enhance palatability and promote fluid replacement. Fluids should be readily available and served in containers that allow adequate volumes to be ingested with ease and with minimal interruption of exercise. 5) Addition of proper amounts of carbohydrates and/or electrolytes to a fluid replacement solution is recommended for exercise events of duration greater than 1 h since it does not significantly impair water delivery to the body and may enhance performance. During exercise lasting less than 1 h, there is little evidence of physiological or physical performance differences between consuming a carbohydrate-electrolyte drink and plain water. 6) During intense exercise lasting longer than 1 h, it is recommended that carbohydrates be ingested at a rate of 30-60 g.h(-1) to maintain oxidation of carbohydrates and delay fatigue. This rate of carbohydrate intake can be achieved without compromising fluid delivery by drinking 600-1200 ml.h(-1) of solutions containing 4%-8% carbohydrates (g.100 ml(-1)). The carbohydrates can be sugars (glucose or sucrose) or starch (e.g., maltodextrin). 7) Inclusion of sodium (0.5-0.7 g.1(-1) of water) in the rehydration solution ingested during exercise lasting longer than 1 h is recommended since it may be advantageous in enhancing palatability, promoting fluid retention, and possibly preventing hyponatremia in certain individuals who drink excessive quantities of fluid. There is little physiological basis for the presence of sodium in n oral rehydration solution for enhancing intestinal water absorption as long as sodium is sufficiently available from the previous meal.

The purpose of this study was to determine the effects of aerobic training on indices of glycemic control, blood pressure, serum lipids, and diabetic nephropathy (DN) in an animal model of insulin deficient diabetes mellitus. Thirty-four male Sprague-Dawley rats made diabetic with streptozocin were randomly assigned to a trained group or a sedentary group. Fifteen sedentary-nondiabetic rats served as a control group. The animals were trained on a treadmill at 18 m.min-1, 8 degrees incline for 120 min.d-1, 5 d.wk-1. Blood and 24 h urine collections were obtained at various intervals throughout the study. At 21 wk of age systolic blood pressure was measured and kidney tissue was obtained for light and electron microscopy. Analysis of variance was used to detect differences among the groups (P < or = 0.05). The diabetes produced in this investigation resulted in hyperglycemia, increased urine albumin and total protein excretion, elevated systolic blood pressure, increased fractional volume of the mesangium, and widening of the glomerular basement membrane in the sedentary-diabetic animals. Aerobic training significantly reduced the increase in fractional volume of the mesangium and fructosamine. Most importantly, aerobic training did not augment the renal damage seen in DN.

The purpose of this study was to determine the effects of chronic hyperglycemia and/or exercise training on the muscle concentration of the insulin-responsive glucose transporter protein, GLUT4, and on maximally insulin-stimulated hindlimb muscle glucose transport. Five-wk-old lean and obese Zucker rats were randomly assigned to sham-operated control (CTL) or 90% pancreatectomized (PX) groups. Obese-PX animals were further randomized into sedentary or exercise trained groups (15-wk treadmill running for 2 h.d-1, 5 d.wk-1, 15% grade, at 15-18 m.min-1). Muscle GLUT4 protein content and maximally insulin-stimulated glucose transport were determined in gastrocnemius, plantaris, and soleus muscles. At 20 wk, lean-PX displayed mild fasting hyperglycemia but normal insulin levels. Obese-PX rats had insulin levels similar to lean-CTL rats but had severe hyperglycemia. Hyperglycemia in lean-PX was associated with a 28% decrease in maximal glucose transport and a 65% decrease in muscle GLUT4 (P < 0.05) compared with lean-CTL. In obese-PX, maximal glucose transport was not affected, but muscle GLUT4 was reduced by 62% (P < 0.05) compared to obese-CTL. Exercise training obese-PX reduced hyperglycemia, increased maximal glucose transport by 45%, and increased muscle GLUT4 by > 2-fold (P < 0.05) compared with obese-CTL. Thus, hyperglycemia associated with PX may be an important factor in the reduction of muscle GLUT4 levels in lean and obese rats. The reduced GLUT4 was accompanied by reduced maximal glucose transport in lean but not obese rats. Exercise training reduced hyperglycemia, normalized glucose transport, and increased muscle GLUT4 in obese-PX.(ABSTRACT TRUNCATED AT 250 WORDS)

1) During training for and competition in endurance exercise athletes often significantly reduce both liver and muscle glycogen reserves. 2) Replenishment of muscle glycogen probably occurs preferentially over the replenishment of liver glycogen after exercise. 3) Muscle and liver glycogen can be replenished within 24 h after exercise provided adequate carbohydrate is consumed. 4) To replenish muscle glycogen within 24 h, 8-10 g carbohydrate.kg-1 body weight should be consumed. 5) To optimize muscle glycogen synthesis during the 4-6 h after exercise, carbohydrate must be consumed immediately after exercise and at frequent intervals thereafter. 6) While normal muscle and/or liver glycogen levels can be normalized 24 h after exercise, muscle function may or may not be fully recovered.

The effect of glucose polymer (GP) ingestion upon endurance performance during walking exercise at 45% VO2max was examined. Also, performance on a battery of psychomotor tests was assessed to determine if exhaustion from endurance exercise was related to central nervous system dysfunction. Ten trained male subjects ingested approximately 120 g of GP in four equally-divided dosages 60, 90, 120, and 150 min following the start of exercise. This treatment significantly increased time to exhaustion by 11.5% as compared to the control (C) group (GP=299.0 +/- 9.8 min; C=268.3 +/- 11.8 min). No difference in VO2 (1 X min-1) or perceived exertion was noted between treatments. As a result of the GP feedings the rate of carbohydrate utilization during the GP trial was 0.53 g X min-1 greater than during the C trial. However, during the GP trial plasma glucose did not fall below the pre-exercise level and was significantly higher than the C plasma glucose concentration at exhaustion. No differences in psychomotor performance between treatments or between rested and exhausted states for either the C or GP treatments were noted. These data suggest that exhaustion was not a result of hypoglycemia or central nervous system dysfunction and that glucose polymer supplements may enhance endurance capacity.

This study evaluated the effectiveness of pre-exercise glycerol feeding in protecting against development of hypoglycemia and sparing muscle glycogen during prolonged, intense exercise. Thirty minutes after ingesting either glycerol (1 gm X kg-1 body weight) or a placebo, 10 cyclists performed as much exercise on a cycle ergometer as they were able in 150 min. The average exercise intensity was 72% of VO2max during both trials. Glycerol ingestion increased blood glycerol concentration 100-fold, but did not alter the respiratory exchange ratio (R), plasma levels of insulin and free-fatty acids, or blood lactate and beta-hydroxybutyrate. The only significant effect of glycerol feeding was to postpone the decline in blood glucose by about 30 min. This suggests that glycerol served, to a limited extent, as a gluconeogenic substrate; however, glycerol ingestion did not spare muscle glycogen during 90 min of treadmill exercise at 71% VO2max. It appears that man cannot utilize glycerol as gluconeogenic substrate rapidly enough to serve as a major energy source during strenuous exercise.

The effect of muscle strength training on glucose tolerance and the insulin response after glucose feeding was investigated in eight healthy male subjects. Glucose tolerance and the associated insulin response was assessed using a standard 100-g oral glucose load before and after a supervised 10-wk high-resistance, isotonic weight-lifting program. Blood samples were drawn before and at 30, 60, 90, 120, and 150 min after ingestion of glucose. Areas under the glucose and insulin curves were used to determine differences between treatments. Muscle strength training increased body weight 3.7% and lean body mass by 3.5%, but had no effect on fat mass as determined by hydrostatic weighing. Glucose tolerance was not changed by the training program. However, a significant reduction in the basal plasma insulin concentration (37.5%) and the area under the insulin response curve (18.0%) was found (P less than 0.05). This reduction in the insulin response was significantly correlated (r = 0.89; P less than 0.05) with the increase in lean body mass. These results suggest that the increased muscle mass resulting from strength training was responsible for the attenuated insulin response to a standard 100-g oral glucose challenge.

To evaluate group differences in coronary risk which could be attributed to the modality of habitual exercise, selected physiologic and lipid indices of coronary artery disease (CAD) were measured in 57 endurance trained (ET), strength trained (ST), or sedentary (SED) men (19 per group, aged 21 to 44 yr). Initial data reduction accomplished with principle component analysis identified three factors with eigenvalues greater than one. Orthogonal rotation of the preliminary solution demonstrated that low density lipoprotein cholesterol (LDL-C), percent body fat (%BF) and VO2max, and high density lipoprotein cholesterol (HDL-C) could be used to represent Factors 1, 2, and 3, respectively. The subsequent MANOVA using these variables proved significant. Post hoc analysis via simultaneous confidence intervals indicated that LDL-C group differences were not significant. Values for %BF and HCL-C in the ST group (14.0% and 1.17 mmol.l-1, respectively) were between but did not differ significantly from respective values in the ET (11.8% and 1.34 mmol.l-1) and SED (18.7% and 1.13 mmol.l-1) groups. However, %BF and HDL-C differences between the ET and SED groups were significant. The VO2max of the ET subjects (63.2 ml.kg-1.min-1) was significantly higher than that of either the ST or SED subjects (49.5 and 46.7 ml.kg-1.min-1, respectively). These results suggest that ET is the most effective modality of exercise for CAD risk reduction while benefits derived from ST are minimal.

This study determined the effects of consuming three different amounts of liquid carbohydrate 4 h before exercise on the metabolic responses during exercise and on exercise performance. Four hours before exercise subjects consumed either 45 (L) or 156 (M) g of carbohydrate in isocaloric feedings and either 0 (P) or 312 (H) g of carbohydrate. Interval cycling was undertaken for 95 min, followed by a performance trial. Blood glucose had reached basal 1 h after all feedings; blood insulin had reached basal 3 h after ingestion of P, L, and M but was still 84% higher for H at the start of exercise. During exercise insulin averaged 48% higher for H than P. Blood glucose decreased 16% during exercise for P, L, and M, whereas for H there was a transient drop the first 15 min of exercise, after which glucose increased and remained constant throughout exercise. More carbohydrate oxidation occurred during exercise for H vs P, whereas results were similar for L and M. Ingestion of H improved performance by 15% as compared with P, whereas performance was similar for L and M. These results indicate that, despite elevated insulin at the start of and during exercise, consumption of 312 g of carbohydrate 4 h before moderately intense prolonged exercise can improve performance, perhaps via an enhancement of carbohydrate oxidation.