The prevalence of overweight in African American (AA) women has increased over the past 20 years. As of 2006, 50+% of non-Hispanic black women, aged 20-39 years, were classified as obese, with the percentage even higher (60+%) in older age groups (13). To promote health benefits and physical fitness, aerobic exercise has long been recommended to healthy adults as the principal mode of activity (23), but resistance exercise has become more popular and is recognized as part of a well-rounded fitness program (3). Currently, low- to moderate-intensity resistance training is commonly recommended for young women (39). High-intensity resistance training, however, may provide additional health benefits particularly for increasing post-exercise and resting energy expenditure (EE) under a real-life setting (41). High-intensity resistance training has the potential to improve body composition and one possible mechanism may be due to increased post-exercise EE. Three proposed mechanisms for improved EE related to resistance training are (a) directly from the exercise, (b) indirectly from increasing lean body mass, and (c) from increasing post-exercise EE (33). Therefore, establishing EE differences of varying resistance training intensities may be beneficial in developing resistance training programs to promote weight maintenance or weight loss and improvements in body composition.
Previous research has shown that an excess post-exercise oxygen consumption (EPOC) response is evoked with intermittent compared with continuous exercise (5), resistance compared with aerobic training (10,12,19), and high-intensity compared with low-intensity exercise (15,34). However, few studies have compared high- vs. low-intensity bouts of resistance training of equal workload. Olds and Abernathy (32) reported no difference in EPOC between low- and high-intensity resistance training in untrained male subjects, and Thornton and Potteiger (38) observed that high-intensity resistance training produced greater EPOC values in white female normal weight subjects.
There appears to be minimal research investigating the influence of resistance training on EE in AA women. Also, AA women have a high incidence of overweight. Using typical routines and equipment commonly used by the general public, the resistance exercise intensity that will invoke the greatest overall effect on EE in this population needs to be determined to make recommendations and develop resistance exercise programs that promote the greatest impact on caloric expenditure and health. If a high-intensity exercise regimen is found to produce a greater EE than a low-intensity regimen, high-intensity programs can be recommended to individuals.
Therefore, the purpose of this study was to compare the post-exercise EE from bouts of low-intensity resistance exercise and high-intensity resistance exercise that were equated for work volumes in AA overweight women. The primary research questions were as follows: (a) For AA overweight women, will an acute bout of high-intensity resistance exercise, compared with low-intensity resistance exercise of equal work volume, stimulate a greater EPOC? and (b) Will variables that help explain EPOC-ventilatory volume (VE), blood lactate concentration ([Lac]b), heart rate (HR), and respiratory exchange ratio (RER)-be augmented 30 minutes post exercise? These variables are known to explain EPOC and were feasible for measurement in this study. A secondary research question was Will high-intensity resistance exercise compared with low-intensity resistance exercise of equal work volume produce similar responses for V̇o2, VE, HR, RER, and rating of perceived exertion (RPE) during exercise? The RPE is a subjective measure of exercise difficulty (8). Although body temperature and hormonal variables would have been useful in examining the mechanisms behind EPOC, they were not included in this study due to limited resources.
Experimental Approach to the Problem
A within-subject experimental design was used. Ten healthy, overweight, AA women visited the Human Performance Laboratory 4 times, completing a pretesting session and 3 data collection sessions (control, low intensity, or high intensity). During the first visit, body composition and cardiorespiratory fitness level were determined for descriptive measures and muscular strength was determined for calculating weight loads for the treatment sessions. The next 3 visits involved 1 no-exercise control (CN) session and 2 treatment sessions: low-intensity resistance exercise (LO) at 45% of their 8-repetition maximum (RM) or high-intensity resistance exercise (HI) at 85% of their 8-RM. Although the time of day tested varied from subject to subject, these 3 sessions were completed at the same time of day for each individual subject. Due to scheduling difficulties for subjects, the CN session was completed first so that the exercise sessions could easily be completed within the specified period of the menstrual cycle. One treatment session was completed the following day, and the second treatment session was completed 3-7 days later. To control for potential menstrual cycle influence on EPOC (26), the treatment and CN sessions were planned at the most stable time of the subject's menstrual cycle, between days 3 and 11, as calculated by calendar day estimation (10). The 2 exercise treatment sessions were randomly assigned to subjects in a counterbalanced order. Treatment sessions involved performing 3 sets of 9 resistance exercises with an equated work volume but different exercise intensity. Subjects were instructed to be well hydrated, to be 3 hours postprandial, and to have refrained from caffeine for 24 hours and strenuous exercise for 48 hours before all testing sessions.
A testing schematic for variables measured during the treatment sessions is presented in Figure 1. Heart rate and oxygen consumption were measured from 15 minutes before, during, and for 30 minutes after each session. The RPE was determined after completing the third set of each of the 9 exercises for each session. Blood samples for lactate determination were collected just prior to beginning exercise, immediately post exercise, 15 and 30 minutes post exercise. The exercise duration for each session was 21 minutes for HI and 24 minutes for LO. Caloric expenditure was calculated using oxygen consumption values obtained during and post exercise. Excess post-exercise oxygen consumption was determined by comparing oxygen baseline values obtained during the CN session with post-exercise values.
Ten apparently healthy, eumenorrheic, overweight (body mass index, 25-29.9 kg·m−2), college aged, AA female students volunteered for the study. Participants were considered sedentary. They had not taken part in a regular resistance training program (more than 2 d·wk−1) during the 6 months prior to the study; however, they were familiar with the resistance training exercises and equipment used in this study from experience prior to the last 6 months. Participants taking oral or injectable birth control were included. Exclusion criteria were pregnancy, cigarette smoking, the presence of glandular disorders or hormone therapy, or consumption of medications that could affect metabolism (i.e., thyroid medication, insulin, and steroids).
Participant demographics are presented in Table 1. The homogeneous study sample was composed of young women of similar height and body mass, with a lower than average cardiorespiratory fitness and a higher than average percent body fat for their age group (2). Before participation, all subjects signed an approved informed consent form and completed a health and exercise history questionnaire in accordance with guidelines set forth by the University Internal Review Board. All subjects were deemed “healthy” according to guidelines established by the American College of Sports Medicine (2).
Body volume was estimated using air displacement densitometry plethysmography (Bod Pod Life Measurement Instruments, Concord, CA, USA). Methods for the Bod Pod have been previously described and have demonstrated reliability and validity across populations (27). The machine was calibrated according to manufacturer's specifications prior to each test. Functional residual capacity was determined directly during testing.
Using the standard Bruce protocol (11), each subject performed a graded exercise test to exhaustion on a treadmill ergometer to determine maximal aerobic power. During testing, expired gases were collected and analyzed using a Cosmed K4b 2 portable metabolic measurement system (Cosmed USA Inc., Chicago, IL, USA). Prior to data collection, the Cosmed portable metabolic system was sent for manufacturer recalibration and performance evaluation. The Cosmed was returned recalibrated and in good working order as designated by the manufacturer. This metabolic system has been validated across various ranges and intensities of physical activity and was calibrated before each test according to the manufacturer's specifications. A face mask that covered the mouth and nose of the participant was connected to a bidirectional digital turbine flow meter with an optoelectrical reader, and the apparatus was then attached to the participant using a mesh head cap. A disposable Ultimate Seal gel accessory (Hans Rudolph, Shawnee, KS) was positioned between the inside of the face mask and the participant to ensure an airtight seal. The Cosmed was placed in a harness that secured it to the upper torso of the participant. The RPE was recorded during the last 15 seconds of each stage using Borg 6- to 20-point scale (8). Heart rate was monitored using a Polar telemetric system (Polar CT, Inc., Gays Mills, WI, USA). A fitness test was considered maximal if the subject met 3 of the 4 following criteria: (a) plateau of the oxygen consumption (<2.0 ml·kg−1·min−1) with an increase in exercise intensity, (b) attainment of an RER of 1.10 or greater, (c) plateau of HR within ±10 b·min−1 of age-predicted maximum HR, and (d) exhaustion or an RPE of 18+ (24).
Each participant performed an 8-RM strength test for 9 exercises on Universal Power resistance exercise machines (Universal, Cedar Rapids, IA). Exercises were performed in the following order: chest fly, triceps extension, deltoid lift, leg press, incline chest press, latissimus pull-down, leg curl, leg extension, and biceps curl. Participants were given detailed instructions and practiced each exercise several times at very low load to familiarize them with the technique for warm-up. After the warm-up, each participant performed each exercise with an estimated 60% of her perceived 8-RM for 8-repetitions (reps). Incremental increases of 2.5, 5, or 10 kg, depending on the exercise, were completed until their 8-RM was reached (38). The 8-RM was defined as the maximum amount of weight that could be lifted through a full range of motion for 8 reps. The exercises selected are common resistance training exercises used by and recommended for the general public (16).
Resistance Exercise Training Sessions
On arrival for testing, height and body weight were measured. The metabolic system was calibrated according to the manufacturer's specifications prior to each participant's resistance training session. The HR monitor and metabolic measurement device were strapped and secured to the subject as described earlier and remained in position throughout testing. Subjects sat quietly for 30 minutes prior to exercise, but data collection did not begin until the last 15 minutes of this period to establish baseline. Expired gas was measured continuously from 15 minutes prior to exercise, throughout the resistance exercise training sessions, and for 30 minutes post exercise. Breath-by-breath samples were averaged over 60-second intervals. Test data were downloaded to a laptop using Windows XP (Microsoft, Redmond, WA) and Cosmed Version 7.0 software, 2003 (Cosmed USA Inc.).
After a supervised stretching routine, subjects performed the 9 resistance training exercises. Intensity level was calculated as a percentage of the subjects' 8-RM. To equate workload, the HI session involved performing 3 sets of 8 reps at 85% 8-RM, while the LO session involved performing 3 sets of 15 reps at 45% 8-RM or the next closest lower weight on the machine. Each set required 47-63 seconds to complete and was followed by a 60-second rest period. The time for each resistance training session was approximately 21 minutes for HI and 24 minutes for LO at each session. The same investigator ensured that correct form was maintained and provided verbal encouragement during exercise. At the end of third set of each of the 9 exercises, RPE was recorded. Following the resistance training session, participants sat quietly in a chair for 30 minutes. A blood sample was collected just prior to beginning exercise, immediately after exercise ended, and 15 and 30 minutes post exercise. Blood lactate concentration was determined using a capillary blood sample obtained from the fingertip. Approximately 32 μl of blood was collected into a heparinized capillary tube. Blood lactate concentration was determined using a calibrated Accutrend portable lactate analyzer (Boehringer, Mannheim, Germany). The Accutrend lactate analyzer has been shown to produce valid and reliable results (7).
Excess Post-Exercise Oxygen Consumption Measurement
V̇o2 measurements were collected for only 30 minutes post exercise to reduce discomfort for subjects and to avoid fidgeting that could falsely elevate EPOC levels (29). The greatest magnitude of EPOC has been reported to occur within this period (38). Excess post-exercise oxygen consumption was calculated using a computer software program (Cosmed USA Inc.) that used the average V̇o2 determined from the CN session. The oxygen consumption was plotted against time, and the area under the curve was determined using the trapezoidal rule. Because EPOC could not be calculated for the rest periods during exercise, only the 0-30 minutes after all exercise ended was calculated for comparison. Because strenuous exercise greatly influences blood pH, the Weir equation (25) was not used for calculating substrate utilization to determine calories (21,33). Accurate interpretation of RER is affected by increased exhaled CO2 and bicarbonate buffering that assist in normalizing acid-base balance (21). Therefore, an RER value greater than 1.0 during exercise was expected to be all carbohydrate substrate expenditure so 5.0 kcal/LO2 was used to calculate calories expended during exercise. Because a mix of carbohydrate and fat substrate use was expected, 4.8 kcal/LO2 was used to calculate calories expended during the post-exercise period (33).
A no-exercise CN was conducted to account for diurnal variations and to avoid the possibility of false elevations of metabolism due to pre-exercise arousal (9). Pre-exercise, exercise, and post-exercise measures during this session were identical to those of the treatment sessions, except that instead of exercising, subjects sat quietly.
To account for unexpected fluctuations of nutrient intake, each subject kept a dietary journal of foods consumed 24 hours before the testing days for the control and treatment sessions. On these days, subjects were asked to eat comparable foods in like amounts at similar times to avoid fluctuations that could affect substrate metabolism and metabolic rate. Each dietary record was analyzed for daily caloric intake (kiloJoule) and the percentage of macronutrients using a nutritional software program (Healthkeeper Performance Diet Pro Version 4.0.3; Healthkeeper Inc., Aspen, CO, USA). Daily energy intake was considered essentially equal if the total for each day measured was within ±200 kJ.
Data were summarized as session means with variance presented as standard deviations. Descriptive statistics of demographic data were evaluated to determine homogeneity of the sample. The level of significance for all tests was set at p ≤ 0.05. One-way analysis of variance (ANOVA) tests were conducted for all pre-exercise and post-exercise variables where the CN session was included with the HI and LO sessions. Also, post-exercise ANOVAs were conducted for each of the first 10-minute V̇o2 measures, for the HI, LO, and CN sessions. For each ANOVA, follow-up post hoc t-tests were conducted using a Dunnet test when the CN session was included in the analysis and a Tukey test when the CN session was not included (RPE and EPOC). Dependent t-tests were conducted to evaluate RPE, and independent t-tests were conducted to evaluate the EPOC (L·O2). To control for type I error, the Holm's sequential Bonferroni correction procedure was used for evaluating the ANOVA tests and the standard Bonferroni was used for the multiple t-tests. All data were analyzed using SPSS Version 11.5.
Levene test for homogeneity of variance was not significant for any test, indicating equal variances. Results are presented as pre-exercise, exercise, and post-exercise periods. The period of 0-30 minutes post exercise was defined as the time beginning immediately after all exercises have ended until the end of the testing post exercise.
Total daily energy intake 24 hours before each of the resistance training sessions and CN sessions was within ±200 kJ. This indicates that there was no dietary effect that influenced substrate utilization or metabolic rate for each of the testing days.
There was no significant difference between the HI, LO, and CN sessions for pre-exercise VE (F = 0.590; p = 0.561), RER (F = 0.257; p = 0.775), HR (F = 1.084; p = 0.354), [Lac]b (F = 0.921; p = 0.410), or V̇o2 (F = 1.167; p = 0.327), indicating similar metabolic conditions prior to each testing session.
The total work volume for HI and LO, respectively, was 5,846.9 ± 1,052.6 kg and 5,890.2 ± 1,060.3 kg. The volume of weight lifted per unit of exercise time for HI and LO, respectively, was 280.5 ± 50.5 kg·min−1 and 243.6 ± 43.9 kg·min−1. When comparing the HI, LO, and CN sessions, the exercise VE (F = 0.724; p = 0.495), HR (F = 29.711; p = 0.000), and V̇o2 (F = 31.478; p = 0.000) were significantly different but the RER (F = 1.851; p = 0.176) was not. Post hoc pairwise comparisons revealed that the exercise HR, VE, and V̇o2 were significantly higher for both HI and LO compared with the CN, but there was no significant difference between the exercise sessions. This result was expected because the total work volume for each resistance training session was essentially equal. The mean RPE for all 9 exercises was not significantly different between the HI and LO sessions; however, the RPE for biceps exercise approached significance (t = 2.14; p = 0.051).
The post-exercise VE (F = 1.255; p = 0.303) and RER (F = 0.499; p = 0.613) were not significantly different for the HI and LO sessions. The post-exercise HR was significant (F = 6.263; p = 0.006), and the pairwise analysis revealed that the difference was between the HI and CN. The mean for each post-exercise [Lac]b was significantly different between the CN session and resistance training sessions at 0 minutes (immediately after exercise) post exercise, at 15 minutes post exercise, but not at 30 minutes (0 minutes F = 14.644; p = 0.000; 15 minutes F = 8.572; p = 0001). There was no significant difference in [Lac]b between the HI and LO sessions at anytime post exercise.
The V̇o2 post exercise was not significantly different (F = 0.685; p = 0.513) between HI and LO. There was a significant difference in minute V̇o2 (Figure 2) but only for the first 5 minutes and only between HI and LO compared with CON and not between HI and LO.
The EPOC calculated after completion of the entire resistance training bout (0-30 minutes) was not significantly different between the 2 resistance training sessions (t = −1.779; p = 0.092). Net EE for the HI, LO, and CN plus the EPOC are presented in Table 2.
These findings indicate that during the post-exercise period, HI HR was significantly elevated above baseline levels throughout but LO HR was not; HI and LO V̇o2 were significantly elevated above baseline levels, but only up to 5 minutes post exercise; RERs for HI, LO, and CN were similar throughout; HI and LO [Lac]b were significantly elevated above CN immediately post exercise and 15 minutes post exercise but similar to CN at the end of the post-exercise period. These findings suggest that all variables except the HI HR had returned to near baseline levels within 30 minutes post exercise. Although most variables during exercise and post exercise were greater for the HI compared with the LO session, they were not statistically significant.
The lack of difference in the pre-exercise variables supports similar baseline levels prior to beginning the exercise. During exercise, the HI and LO session variables HR, VE, and V̇o2 were greater than CN as expected due to the physiologic stress of exercise. These variables were similar for the HI and LO exercise sessions as anticipated due to the similar work volume. The RER was similar for HI, LO, and CN, but this variable is more difficult to interpret due to lactate buffering and oxidative metabolism. The post-exercise V̇o2 was very similar for HI and LO. The RPE surprisingly was similar for both exercise sessions. It was anticipated that the RPE would be greater for HI than the LO. The EPOC for the exercise sessions was similar and quite small.
Overall, studies, comparing various protocols and intensities of exercise, have shown that long-duration, high-intensity, split sessions or higher work volumes will produce the greatest magnitude and volume of EPOC (1,6,9,15,19,30,31,40), but mode of aerobic exercise does not have a significant impact on EPOC (4,20). Also, resistance training exercise has been shown to produce a greater EPOC than aerobic exercise of equal work volume (10,12).
Braun et al. (10) investigated the EPOC response in untrained women who completed a circuit resistance training session and a session on a treadmill exercise. The circuit resistance training session was similar to that in the present study. The circuit resistance training session V̇o2 remained elevated above baseline for 60 minutes. The 60-minute V̇o2 was 0.23 L·min−1 compared with baseline of 0.19 L·min−1, which was reported to be statistically significant. The total EPOC was 2.27 for the first 30 minutes post exercise. The results of this study contradict the findings of the present study as both the HI and LO resistance exercise V̇o2 returned to near baseline within 30 minutes, and the EPOC was 1.26 L·O2 for HI and 0.87 L·O2 for LO. Braun et al. (10) did not report the total volume of work, which could have been higher compared with the present study. The mean ml·min−1 V̇o2 for 3 sets, however, was similar in the study of Braun et al. (10) (266.7 ml·min−1 at 65% 1-RM for 15 reps) compared with the present study findings (276.9 ml·min−1 at 85% 8-RM for 8 reps and 240.4 ml·min−1 at 45% 8-RM for 15 reps). Braun et al. (10) also incorporated a 2-minute rest between each set as compared with a 1-minute rest in the present study. The variables of unknown work volume, the RM load, and length of rest periods could account for the difference between their findings and ours.
Thornton and Potteiger (38) compared a high- and low-resistance training exercise regimen (2 sets of 15 reps at 45% 8-RM and 2 sets of 8 reps at 85% 8-RM) with equated work volume and found a significant difference for EPOC. These findings also contradict the present study, which was surprising, because the subjects in Thornton and Potteiger (38) study had a higher fitness level and a lower fat mass compared with subjects in the present study.
Individuals with a lower fitness level typically expend more energy for the same amount of work compared with individuals with a higher fitness level (35). Studies comparing EPOC for fitness level, however, have found varying results, including no differences in EPOC for fitness level (36,17), higher EPOC in higher fitness levels (14), shorter EPOC duration in higher fitness levels (37) and a smaller EPOC volume in lower fitness levels (18). Therefore, it is not clear if fitness level influenced the differences in the Thornton and Potteiger's study and the present study.
Several other variables may have impacted the difference in the results of the Thornton and Potteiger's study and the present study. A greater EPOC response has been observed for subjects with a lower body fat mass (22), which could contribute to the differences observed in the previous and present study. Also, the work per unit of time (Thornton and Potteiger HI 629 kg, LO 521 kg; present study HI 281 kg, LO 244 kg) was higher for the previous study compared with the present study. It is possible that the subjects in the previous study, due to their higher fitness level and the fact that they were accustomed to exercising, were able to physiologically and psychologically reach a truer RM. Also, because of their fitness level and experience, subjects in the previous study may have felt more comfortable pushing themselves harder during the workout supported by the difference found in RPEs not observed in the present study. The RM determined in the preliminary testing is used to determine weight loads for the resistance exercise sessions in the study. Although subjects in the present study were coached to achieve their true RM, perhaps they had more difficulty performing the RM testing because they were not accustomed to regular exercise and therefore were not able to reach their true maximum. If this were the case, then the weight loads for both of the conditions may have been lower, and therefore, the subjects were performing at a lower percentage of their 8-RM. At lower exercise intensity and volume, the EPOC difference for intensity level would be smaller and less likely to reach significance. Olds and Abernathy (32) reported that when they compared 2 resistance regimens (60 and 75% 1-RM) with equated work volume, there was no significant difference in EPOC.
McGarvey et al. (28) found that when comparing intermittent and continuous cycle exercise with similar duration and work volume, the EPOC was similar but the HR was greater after the intermittent exercise. The authors speculated that the higher HR could be due to a greater concentration of circulating catecholamines. The intermittent exercise in this study could be interpreted as a high-intensity exercise, which could compare with the higher HR found in this study for the high-intensity post-exercise.
Methodological issues identified by Borsheim and Bahr (9) when studying EPOC were all controlled for during the present study. However, a limitation of this study was the differentiation between the work of exercise and the intermittent rest periods between each exercise and each set. Measuring and separating work and recovery V̇o2 is limited during resistance exercise. This limitation is due to the mechanical inability of the metabolic measurement system to make a distinction between work and recovery V̇o2. In this study, however, the total exercise V̇o2 consumed and the total work completed in both sessions were not significantly different. Another limitation may be the participant's ability to achieve a true 8-RM. If the study were replicated determining an RM of greater precision, the results may have been different.
In summary, when comparing a high-intensity (85% 8-RM) session with a low-intensity (45% 8-RM) session of resistance training with equal work volume, the results of this investigation suggest that there is a similar exercise energy expenditure but the EPOC and other post-exercise metabolic variables, except HR, were not significantly different in overweight AA women. These findings may be a result of the participant's inability to reach a true 8-RM. The EPOC magnitude and volume were greatest within the first 8 minutes following resistance training and were quite small, therefore; the calorie expenditure from EPOC would not contribute substantively toward weight loss in the short term.
Based on the results of this study, resistance exercise of the level used in this study will have a small impact directly through calories used during the program. Additionally, if continued over time, the calories will contribute to weight maintenance and/or weight loss. Because both were well tolerated, either of these protocols could be used for beginning a resistance training regimen for sedentary persons. Based on the results of this study, resistance training programs could be used initially in sedentary populations without a preconditioning program.
1. Almuzaini, KS, Potteiger, JA, and Green, SB. Effects of split exercise sessions on excess postexercise oxygen consumption and resting metabolic rate. Can J Appl Physiol
23: 433-443, 1998.
2. American College of Sports Medicine. Guidelines for Exercise Testing and Prescription
. Philadelphia, PA: Lippincott Williams & Wilkins, 2006.
3. American College of Sports Medicine. Position stand: Progression models in resistance training for healthy adults. Med Sci Sports Exerc
41, 687-708, 2009.
4. Bahr, R and Sejersted, OM. Effect of intensity of exercise on excess postexercise O2
40: 836-841, 1991.
5. Baker, EJ and Gleeson, TT. EPOC and the energetics of brief locomotor activity in Mus domesticus
. J Exp Zool
280: 114-120, 1998.
6. Binzen, CA, Swan, PD, and Manore, MM. Postexercise oxygen consumption and substrate use after resistance exercise
in women. Med Sci Sports Exerc
33: 932-938, 2001.
7. Bishop, D. Evaluation of the Accusport lactate analyzer. Int J Sports Med
22: 525-530, 2001.
8. Borg, GAV. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med
2: 92-98, 1970.
9. Borsheim, E and Bahr, R. Effect of exercise intensity, duration and mode on post-exercise oxygen consumption. Sports Med
33: 1037-1060, 2003.
10. Braun, WA, Hawthorne, WE, and Markofski, MM. Acute EPOC response in women to circuit training and treadmill exercise of matched oxygen consumption. Eur J Appl Physiol
94: 500-504, 2005.
11. Bruce, RA. Exercise testing of patients with coronary heart disease. Ann Clin Res
3: 323-330, 1971.
12. Burleson, MA, O'Bryant, HS, Stone, MH, Collins, MA, and Triplett-McBride, T. Effect of weight training exercise and treadmill exercise on post-exercise oxygen consumption. Med Sci Sports Exerc
30: 518-522, 1998.
13. National Center for Health Statistics Health, United States, 2008 With Chartbook
Hyattsville, MD: 2009.
14. Chad, KE and Quigley, BM. Exercise intensity: Effect on post-exercise O2 uptake in trained and untrained women. J Appl Physiol
70: 1713-1719, 1991.
15. Elliot, DL, Goldberg, L, and Kuehl, KS. Effect of resistance training on excess postexercise oxygen consumption. J Appl Sport Sci Res
6: 77-81, 1992.
16. Feigenbaum, MS and Pollock, ML. Prescription of resistance training for health and disease. Med Sci Sports Exerc
31: 38-45, 2000.
17. Freedman-Akabas, S, Colt, E, and Kissileff, HR. Lack of sustained increase in VO2 following exercise in fit and unfit subjects. Am J Clin Nutr
41: 545-549, 1985.
18. Frey, GC, Byrnes, WC, and Mazzeo, RS. Factors influencing excess postexercise oxygen consumption in trained and untrained women. Metabolism
42: 822-828, 1993.
19. Gillette, CA, Bullough, R, and Melby, CL. Postexercise energy expenditure
in response to acute aerobic or resistive exercise. Int J Sport Nutr
4: 347-360, 1994.
20. Gore, CJ and Withers, RT. The effect of exercise intensity and duration on the oxygen deficit and excess post-exercise oxygen consumption. Eur J Appl Physiol
60: 169-174, 1990.
21. Haltom, RW, Kraemer, RR, Sloan, RA, Hebert, EP, Frank, K, and Tryniecki, JL. Circuit weight training and its effects on excess postexercise oxygen consumption. Med Sci Sports Exerc
31: 1613-1618, 1999.
22. Harms, CA, Cordain, L, Stager, JM, Sockler, JM, and Harris, M. Body fat mass affects postexercise metabolism in males of similar lean body mass. Med Exerc Nutr Health
4: 33-39, 1995.
23. Haskell, WL, Lee, IM, Pate, RR, Powell, KE, Blair, SN, Franklin, BA, Macera, CA, Heath, GW, Thompson, PD, and Bauman, A. Physical activity and public health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc
39: 1423-1434, 2007.
24. Howley, ET, Bassett, DR, and Welch, JG. Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc
27: 1292-1301, 1995.
25. Mansell, PI and Macdonald, IA. Reappraisal of the Weir equation for calculation of metabolic rate. Am J Physiol
258: R1347-R1354, 1990.
26. Matsuo, T, Saitoh, S, and Suzuki, M. Effects of the menstrual cycle on excess postexercise oxygen consumption in healthy young women. Metabolism
48: 275-277, 1999.
27. McCrory, MA, Gomez, TD, Bernauer, EM, and Mole, PA. Evaluation of a new air displacement plethysmograph for measuring human body composition. Med Sci Sports Exerc
27: 1686-1691, 1995.
28. McGarvey, W, Jones, R, and Petersen, S. Excess post-exercise oxygen consumption following continuous and interval cycling exercise. Int J Sport Nutr Exerc Metab
14: 28-37, 2005.
29. Melby, C, Scholl, C, Edwards, G, and Bullough, R. Effect of acute resistance exercise
on postexercise energy expenditure
and resting metabolic rate. J Appl Physiol
75: 1847-1853, 1993.
30. Melby, CL, Tincknell, T, and Schmidt, WD. Energy expenditure
following a bout of non-steady state resistance exercise
. J Sports Med Phys Fitness
32: 128-135, 1992.
31. Murphy, E and Schwarzkopf, R. Effects of standard set circuit weight training on excess post-exercise oxygenation. J Appl Sport Sci Res
6: 88-91, 1992.
32. Olds, TS and Abernathy, PJ. Postexercise oxygen consumption following heavy and light resistance exercise
. J Strength Cond Res
7: 147-152, 1993.
33. Osterberg, KL and Melby, CL. Effect of acute resistance exercise
on postexercise oxygen consumption and resting metabolic rate in young women. Int J Sport Nutr
10: 71-81, 2000.
34. Phelain, JF, Reinke, E, Harris, MA, and Melby, CL. Post exercise energy expenditure
and substrate oxidation in young women resulting from exercise bouts of different intensity. J Am Coll Nutr
16: 140-146, 1997.
35. Poehlman, ET and Melby, CL. Resistance training and energy balance. Int J Sport Nutr
8: 143-159, 1998.
36. Sedlock, DA. Fitness
level and postexercise energy expenditure
. J Sports Med Phys Fitness
26: 908-913, 1994.
37. Short, KR and Sedlock, DA. Excess postexercise oxygen consumption and recovery rate in trained and untrained subjects. J Appl Physiol
83: 153-159, 1997.
38. Thornton, MK and Potteiger, JA. Effects of resistance exercise
bouts of different intensities but equal work on EPOC. Med Sci Sports Exerc
34: 715-722, 2002.
39. U. S. Department of Health and Human Services. Physical Activity Guidelines for Americans
. Washington, DC: U.S. Government Printing Office, 2008.
40. Williamson, DL and Kirwan, JP.A single bout of concentric resistance exercise
increases BMR 48 hours after exercise in healthy 59-77 year old men. J Gerontol
52A: M352-M355, 1997.
41. Yoshioka, M, Doucet, E, St-Pierre, S, Almeras, N, Richard, D, Labrie, A, Despres, JP, Bouchard, C, and Tremblay, A. Impact of high-intensity exercise on energy expenditure
, lipid oxidation and body fatness. Int J Obes Relat Metab Disord
25: 332-339, 2001.