Original Article

International Journal of Obesity (2008) 32, 684–691; doi:10.1038/sj.ijo.0803781; published online 15 January 2008

The effects of high-intensity intermittent exercise training on fat loss and fasting insulin levels of young women

E G Trapp1, D J Chisholm2, J Freund1 and S H Boutcher1

  1. 1Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
  2. 2Garvan Institute, Sydney, New South Wales, Australia

Correspondence: Dr EG Trapp, School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney 2052, Australia. E-mail: e.trapp@unsw.edu.au

Received 22 May 2007; Revised 14 October 2007; Accepted 6 November 2007; Published online 15 January 2008.





To determine the effects of a 15-week high-intensity intermittent exercise (HIIE) program on subcutaneous and trunk fat and insulin resistance of young women.

Design and procedures:


Subjects were randomly assigned to one of the three groups: HIIE (n=15), steady-state exercise (SSE; n=15) or control (CONT; n=15). HIIE and SSE groups underwent a 15-week exercise intervention.



Forty-five women with a mean BMI of 23.2±2.0kgm−2 and age of 20.2±2.0 years.



Both exercise groups demonstrated a significant improvement (P<0.05) in cardiovascular fitness. However, only the HIIE group had a significant reduction in total body mass (TBM), fat mass (FM), trunk fat and fasting plasma insulin levels. There was significant fat loss (P<0.05) in legs compared to arms in the HIIE group only. Lean compared to overweight women lost less fat after HIIE. Decreases in leptin concentrations were negatively correlated with increases in VO2peak (r=−0.57, P<0.05) and positively correlated with decreases in TBM (r=0.47; P<0.0001). There was no significant change in adiponectin levels after training.



HIIE three times per week for 15 weeks compared to the same frequency of SSE exercise was associated with significant reductions in total body fat, subcutaneous leg and trunk fat, and insulin resistance in young women.


intermittent sprinting, body fat, insulin



Overweight and obesity levels have escalated worldwide, and these trends are occurring in both developed and developing countries. It has been estimated that the current level of 250 million obese (7% of world population), is likely to significantly increase in future.1 As being overweight is associated with long-term ill health and reduced life quality, it has been recommended that effective weight loss strategies be developed.2 Although caloric restriction has been the major weight loss strategy, it has been shown that exercise programs designed for fat loss result in an increase in cardiorespiratory fitness3 and a preservation of fat-free mass.4, 5, 6 Most exercise programs designed for weight loss have focused on steady-state exercise (SEE) of around 30min at a moderate intensity on most days of the week. Disappointingly, these kinds of exercise programs have led to little or no fat loss.7 Thus, what is needed is an exercise protocol that can be carried out by overweight, inactive individuals that more effectively induces fat loss.

One such exercise protocol may be high-intensity intermittent exercise (HIIE). HIIE involves brief high-intensity, anaerobic exercise followed by brief but slightly longer bouts of very low-intensity (aerobic) exercise. Prior research has demonstrated that HIIE enhances capacity for fat oxidation and mitochondrial enzyme activity;8, 9, 10 however, the ability of chronic HIIE to induce fat loss has only been examined by one study. Tremblay et al.11 compared exercising intermittently at high-intensity and continuous moderate intensity exercise five times per week for 20 weeks. At the end of the intervention, despite a significantly lower exercise-induced energy deficit, the high-intensity group had lost significantly more fat as measured by change in skinfold thickness relative to energy expenditure. A characteristic of this study was that the HIIE protocol was of a long duration (45min) and involved exercising five times per week. Thus, it is likely that sedentary, overweight individuals would have difficulty in adhering to such a program. Because of the ability of this program to induce fat loss, it would be beneficial to find a less demanding version of this protocol that would reduce body fat but would be more acceptable to sedentary individuals.

Therefore, the purpose of this study was to examine the effects of 20-min bouts of HIIE repeated three times weekly on body composition and fasting insulin levels. Relatively normal weight individuals with a range of adiposity were chosen to determine the effects of HIIE in a population range. It was hypothesized that 15 weeks of HIIE compared to 15 weeks of 40-min bouts of SSE would result in significantly greater reductions in body fat and insulin resistance in young, premenopausal women.


Subjects and methods


Subjects were nonsmoking and inactive but otherwise healthy women aged between 18 and 30 years. Ethnically, there were 12 Chinese, 18 European, 3 Southeast Asian and 1 African subject. Subjects were screened using the PAR-Q,12 which is a standard pre-exercise questionnaire and approval for the study was granted by a University Research Ethics Committee. Subjects were randomly allocated into one of the three groups: HIIE, SSE or control (CONT; Table 1). Forty-five volunteers underwent initial testing. However, for various reasons, seven withdrew from the SSE and four from the HIIE group. Age (22.4±0.7, 21.0±0.8, 22.2±0.1.2 years) and BMI (24.4±1.5, 22.4±1.0, 23.8±1.4kgm−2) were similar for the HIIE, SSE and CONT groups (Table 1). There was no significant difference on any measured variable between the non-adherents and those women who stayed in the study.


Subjects came into the laboratory after an overnight fast after avoiding caffeine the morning of the test. All women were tested in the follicular stage of the menstrual cycle. Pretraining testing included anthropometric measures and a determination of VO2peak on a cycle ergometer (Table 1). A cannula was inserted into an antecubital vein followed by a supine rest of 30min. Baseline blood samples were taken and whole blood was placed in 10ml EDTA and 3ml fluoride vacutainers. Samples from the fluoride tubes were assayed immediately for lactate and glucose using a YSI analyzer (2300 STAT; Yellow Springs, Ohio, USA). Blood lipid profiles (Cholestech LDX) were also assayed immediately using blood from the EDTA tubes. Whole blood was spun immediately in a chilled centrifuge at 4°C 3000r.p.m. for 10min and then aliquots of plasma were immediately frozen at −86°C for later analysis. Exercise was carried out on an electrically braked, computer controlled Monark 839 cycle ergometer and VO2peak was assessed using a ParvoMedics TrueMax 2400 metabolic cart. All tests were carried out between 700 and 900 hours.

The pretraining exercise assessment was a ramp test with 2-min stages following a 3-min warm-up. Subjects started cycling at 30W and maintained a cycling speed of 90r.p.m. throughout. The work increments for each stage were 15W. The test ceased when the standard criteria of attainment of VO2peak or volitional exhaustion was reached.13 The test was followed by a 5-min cooldown. Because these volunteers were untrained and unused to cycling exercise, they typically ceased cycling before achieving a true VO2max, thus VO2peak was accepted as an indicant of aerobic power. Venous blood samples were taken in the last 30s of every second stage of the test and at the end of the cooldown. Heart rate (HR) was recorded at the end of each stage. Blood samples were centrifuged and frozen as described previously.

Body composition

Each subject underwent a dual-energy X-ray absorptiometry (DEXA) scan on a Lunar Prodigy (GE Corporation, Fairfield, Connecticut, USA), software enCORE 2003 GE Medical Systems version 7.51. Total body and central abdominal fat and lean tissue mass and percentage of total tissue were measured as previously described.14 DEXA has been validated as a measure of body fat in obese and normal weight individuals,15, 16, 17 and central abdominal fat measurement by DEXA has been shown to correlate strongly with insulin resistance.14 DEXA gives two measures of central adiposity. The trunk measurement includes the area distal to the neck and superior to the pelvis without the upper limbs. In this cohort, the mean fat mass (FM) in this area was 10.3kg with a lean mass of 18.4kg. The central abdominal measurement covered a section between T12 and L4 and had a typical FM of 1.2kg and lean mass of 2.5kg.

Diet monitoring

Subjects were asked to retain their normal eating patterns during the course of the training program. On their initial and final visit to the laboratory, subjects provided a 3-day diet inventory, and analysis was performed using SERVE dietary analysis software.

High-intensity intermittent exercise training

Monark cycle ergometers were used for training. For the HIIE protocol, each subject performed 8s of sprinting and 12s of turning the pedals over slowly (between 20 and 30r.p.m.) for a maximum of 60 repeats a session. At the beginning of the 15-week training period, subjects started with a resistance of 0.5kg and worked as hard as they could during the sprinting phase. Subjects started with as little as 5min in the conditioning phase and gradually increased work time to a maximum of 20min. Once an individual could complete 20min of intermittent sprinting at 0.5kg, resistance was increased by increments of 0.5kg. A decrease in the subject's HR at the current workload presaged an increase in resistance. The women adapted to the training stimulus rapidly so that by the end of 2 weeks (six exercise sessions), all women were able to complete the full 20min of exercise.

Each training session consisted of a 5-min warm-up at a workload chosen by each subject. At the end of warm-up, subjects followed a prerecorded tape, which included prompts to start and stop cycling with a work/rest ratio of 8s:12s. At the end of this conditioning phase, subjects reduced their workload and cooled down for 5min followed by standard stretches for the quadriceps, hamstrings and posterior calf muscles. HR was recorded during the exercise and cooldown. If an individual missed a session, she would make it up later so that 45 exercise sessions were completed within the 15-week period.

Steady-state exercise training

For SSE training, subjects completed a 5-min warm-up at a comfortable workload after which each individual exercised at 60% VO2peak. At the end of the conditioning phase, a 5-min cooldown and stretching in the same manner as the HIIE group was completed. Subjects started the 15-week program exercising at this intensity for 10–20min. The duration of the exercise was gradually increased to a maximum of 40min of exercise per session. When subject's fitness improved, as indicated by a decrease in HR, the resistance was increased by 0.5kg increments.

Control group

The CONT group was asked to maintain their current physical activity levels and dietary habits for the 15 weeks of the experimental period. They supplied a record of their dietary intake at week 1 and 15 weeks later.


Insulin levels were assessed using an enzyme-linked immunosorbent assay kit (DSL 10–1600). The homeostasis model assessment of insulin sensitivity (HOMA-IR) was calculated for each individual.18 HOMA-IR is calculated by dividing the product of insulin (in μIUml−1) and glucose (in mmoll−1) concentrations by 22.5. Adiponectin analysis was undertaken using an enzyme-linked immunosorbent assay kit (DRP 300; R&D Systems, Minneapolis, Minnesota, USA). Similar enzyme-linked immunosorbent assays were performed for leptin (DSL-10-23100i). All samples were assayed in duplicate as internal controls.

Statistical analysis

SPSS 14.0. software was used to examine pre–post group changes and post hoc analyses were used to identify significant between-group differences. Also Pearson's Product–Moment correlation coefficient was used to examine relationships between variables.



There were no significant differences between the three groups on any measured variable prior to the training program (Table 1).

Energy expenditure associated with training

Energy expenditure for the SSE group was estimated by converting the workload for each session (kp*r.p.m.=W) into oxygen consumption in lmin−1.19 Energy expenditure for one session of HIIE was assessed in a previous study,20 and this data was used to estimate energy expenditure for the 15 weeks of HIIE of the present study. Using this method, there was no significant difference between SSE (36.3±3.4MJ) and HIIE (41.5±0.81MJ) in estimated total energy expenditure over the 15-week training period. The average energy expenditure for each HIIE session was 834.5±11.3kJ and for SSE was 809.7±74.0kJ. In terms of % VO2peak power during the exercise bouts (exercise watts relative to peak watts), each HIIE session averaged 53.2% peak power output, whereas each SSE session averaged 73.9% peak power output.

Exercise heart rates

There was a significant difference in training HR between the two exercise groups (P<0.007). The HIIE group recorded a mean training HR of 168.6 beatsmin−1, whereas the SSE had an HR of 155.7 beatsmin−1

Peak aerobic power

Both HIIE and SSE resulted in a significant increase (P<0.0001) in post versus pretraining peak absolute oxygen uptake. VO2peak increased by 23.8% after HIIE and by 19.3% after SSE training (Table 1).

Total body mass and body fat

There was a significant decrease in total body mass (TBM) for the HIIE compared to the CONT group (P<0.01). No significant change occurred for the SSE or CONT groups (Table 2).

There was significant FM loss (P<0.05) for the HIIE group of 2.5±0.83kg compared to the other two groups. The SSE group had a mean FM gain of 0.44±0.88kg and the CONT group had a gain of 0.33±0.47kg (Figure 1). Fat loss and initial adiposity levels were moderately correlated (r=−0.58, P<0.02), indicating that subjects possessing greater initial fat levels tended to lose more fat.

Figure 1.
Figure 1 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Total fat change for the high-intensity intermittent exercise (HIIE), steady-state exercise (SEE) and no exercise control groups. *Significantly different from control and SSE groups (P<0.05).

Full figure and legend (34K)

Responders versus nonresponders

Four moderate fat loss responders (women who had a 3% or less decrease in total fat) in the HIIE group, possessed significantly lower (P<0.05) initial FM than the other women (14.3 versus 22.2kg). These four women were the leanest in the HIIE group with an average weight of 52.9kg and a BMI of 21.1kgm−2. With the four lean women removed, the mean fat loss in the HIIE group was 3.94±0.91kg, resulting in a 4.3% decrease in body mass and a 14.7% decrease in total FM.

Central abdominal fat

High-intensity intermittent exercise led to a significant decrease (P<0.05) in central abdominal fat (−0.15±0.07kg), whereas the SSE and CONT groups had nonsignificant increases in central abdominal fat (SSE group, +0.1±0.08kg; CONT group, +0.03±0.04kg; Figure 2).

Figure 2.
Figure 2 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Central abdominal fat change for the high-intensity intermittent exercise (HIIE), steady-state exercise (SEE) and no exercise control groups. *Significantly different from control and SSE groups (P<0.05).

Full figure and legend (36K)

Lean body mass

There were no significant pre- and posttraining differences in total lean body mass.

Regional differences in fat and lean mass

All three groups increased fat deposits in the arms (P<0.01) with no between-group differences. There was a trend (P=0.06) for the HIIE group to lose more fat from the legs compared to the other groups (Table 2). The HIIE group lost 1.40±0.17kg of trunk fat, the SSE group gained 0.11±0.51kg and the CONT group lost 0.05±0.42kg. When these changes in fat tissue were calculated as percentage of fat, there were significant differences between the HIIE and CONT group for percentage of fat in the lower limbs (P<0.05) and trunk (P<0.05).

Changes in lean tissue mass in the legs were not significant. The HIIE group gained 0.11±0.14kg, the SSE lost 0.92±0.18kg, and the CONT lost 0.13±0.15kg (Table 2). There was a significant increase in trunk lean tissue for the HIIE compared to the SSE group (P<0.05) (Table 2).

Fasting insulin and glucose

Both HIIE (31%) and SSE (9%) groups decreased fasting insulin; however, only HIIE was significantly different from CONT (P<0.05) (Figure 3). Similarly, both HIIE (33%) and SSE (11%) subjects decreased fasting HOMA-IR scores; however, these levels were not significantly different from CONT. There was a significant correlation between central abdominal fat loss and change in insulin concentration with training (r=0.46, P<0.05) so that individuals who lost more abdominal fat had a greater decrease in fasting insulin concentration. Fasting glucose concentrations were <5mmoll−1 in all groups pre- and post training. There were no between-group differences and no significant change after the intervention for glucose concentration.

Figure 3.
Figure 3 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Fasting insulin change for the high-intensity intermittent exercise (HIIE), steady-state exercise (SEE) and no exercise control groups. *Significantly different from control (P<0.05).

Full figure and legend (34K)

Leptin and adiponectin

There was a significant decrease (P<0.05) in leptin concentration for the HIIE group after training (Table 3). Improvement in VO2peak (r=−0.57, P<0.001), and change in TBM (r=0.47, P<0.001) were significantly correlated with change in leptin. No significant correlations existed (P>0.05) between leptin and change in FM. Change in adiponectin was not significantly different between groups, but change in adiponectin was associated with change in FM (r=−0.40, P<0.05) and percentage of BF (r=−0.40, P<0.05).


There were no significant changes in either the macro- or micronutrient content of pre- and posttraining diet as assessed by 3-day diet diaries (Table 4).



The major finding of this study was that both HIIE and SSE significantly increased VO2peak, but only HIIE resulted in a significant loss in total and abdominal fat. There was significant loss in leg compared to arm fat in the HIIE group. Both exercise protocols decreased fasting insulin levels; however, the effect was significantly greater in HIIE compared to CONT. Fat loss to HIIE was variable with leaner women losing less fat. Fat loss induced by HIIE was achieved with half the time commitment, but with a similar energy expenditure to that of SSE.

Both HIIE and SSE exercise increased absolute VO2peak by 23.8 and 19.3%, respectively. This large increase in VO2peak after HIIE is surprising given that the volume of the aerobic component was significantly less than that of SSE. The aerobic component of the HIIE amounted to 36min per week (ignoring warm-up and cooldown) compared to 120min per week of aerobic component in the SSE condition. Talanian et al.9 have also found that an intermittent sprinting exercise program significantly elevated aerobic power; in this study, the oxidative enzyme β-hydroxy-acyl-CoA dehydrogenase was used as an indicant of mitochondrial volume and was found to increase by 31%, suggesting that intermittent sprinting enhances mitochondrial capacity. Other studies have also shown increases in aerobic power to differing forms of intermittent sprinting,21, 22, 23 whereas Tabata et al.23 found that intermittent sprinting also resulted in significant increases in anaerobic capacity. Collectively, these data show that intermittent sprinting results in significant improvements in both aerobic and anaerobic fitness.

That HIIE produced a greater fat reduction effect compared to SSE supports the results of Tremblay et al.11 Despite exercising half the time, HIIE subjects in the present study lost 11.2% of total FM with SSE subjects experiencing no fat loss. Collectively, these results demonstrate that intermittent sprinting compared to SEE is a more effective and efficient way of controlling body composition. However, our estimates of energy expenditure and intake lack sufficient precision to comfortably conclude that energy balance was unaffected in the HIIE condition. Thus, it is feasible that the change in FM that occurred in HIIE may have been influenced by unreported changes in diet. Indeed, HIIE-induced suppressed diet intake may be one of a number of possible factors underlying the fat loss effect of HIIE.11 For example, HIIE may have suppressed appetite or decreased attraction for energy-dense foods.24, 25 Another explanation for the HIIE fat loss effects is that this type of exercise may result in enhanced lipid utilization. Prior research in our laboratory has shown that lipid release, as indicated by blood glycerol levels, gradually increased over 20min of HIIE.20 Catecholamine levels in this study were also found to be significantly elevated after HIIE.20 With regard to SSE, the FM and aerobic fitness response was typical of that reported in the literature in that there were no significant changes in TBM, FM or trunk fat, but there was a significant increase in aerobic fitness.26, 27, 28, 29, 30, 31, 32

Central adiposity diminished in the HIIE compared to the SSE and CONT groups. The HIIE group decreased central abdominal fat by 9.5%, in contrast to the SSE group, which had a 10.5% increase. Total trunk FM reflected these changes (Table 2). This is an important finding because of the effect of excess visceral fat on metabolic dysfunction.26, 33, 34 Although these changes may appear minor in these young women, their central abdominal FM before the intervention was relatively small (mean=1.27kg). Thus, it is likely that HIIE would have an even greater fat-reducing effect on individuals possessing larger abdominal fat stores. DEXA does not directly measure visceral fat, but there is a relationship between DEXA measured abdominal FM and visceral fat. For example, Bertin et al.15 found a significant correlation (r=0.60) between visceral fat determined by computed tomography (CT) scan and abdominal FM measured by DEXA, indicating that changes in abdominal fat reflect to some degree, changes in visceral fat. Moreover, the DEXA technique used in this study has been shown to have a strong correlation with insulin resistance.14

Changes in lean tissue mass in the legs were not significant, but a trend was apparent in that the HIIE group gained, whereas the SSE and CONT lost lean tissue. In the HIIE group, there was also a significant increase in abdominal fat-free mass, suggesting that the trunk musculature was recruited during HIIE. These data suggest that HIIE compared to SSE provides greater loading of the trunk and leg musculature. This characteristic may be important for weight loss programs, as it has been shown that the decrease in muscle mass that typically accompanies dietary restriction usually results in lowered resting metabolic rate.35

It is considered that spot reduction (that is, deliberately reducing fat stores in specific areas of the body) is not possible, and the body will mobilize preferentially those stores with the highest concentrations of adipose cells.36, 37, 38 There is evidence in the current study that this principle may not apply to every exercise modality. In HIIE, where work is done primarily by the musculature of the legs and the trunk muscles act as stabilizers, there was a decrease in FM and an increase in lean mass, which summated to a significant change in percentage of fat in these two regions. This was not the case with the SSE group.

Both exercise groups reduced fasting insulin levels and HOMA-IR scores, although only the insulin level of the HIIE group was statistically significant. The HIIE group had a 31% decrease in fasting insulin concentrations compared to 9% for the SSE group. The 9% decrease of the SSE is typical compared to results of other studies using similar exercise protocols.39 The significantly larger effects of HIIE on fasting insulin suggests that this form of exercise may be a more effective way of normalizing endocrine dysfunction. If the training continued for a longer period (6 months to a year), it is possible that the decrease in insulin concentrations would lead to greater fat oxidation,40 and hence, greater fat loss in the longer term.41 Supporting this notion is the significant inverse relationship found between loss of trunk fat and decrease in insulin concentration. This is in keeping with a significant correlation between loss of abdominal fat and improvements in insulin sensitivity in response to calorie restriction.42

High-intensity intermittent exercise training had a marked effect on fat levels for some individuals and a moderate effect for others. The correlation (r=0.58, P<0.01) between fat loss and initial FM supports prior research that has shown that fat loss is typically related to initial FM.43, 44 The four moderate fat loss responders in the HIIE group (women who had a 3% or less decrease in total fat) possessed significantly lower initial FM than the other women. With the four lean women removed, the mean fat loss in the HIIE group was 3.94±0.91kg resulting in a 4.3% decrease in body mass and a 14.7% decrease in total FM. This 3.94-kg fat loss compares favorably to the 1.15-kg weight loss reported in a recent meta-analysis of the effects of SEE on weight loss.7

In conclusion, 20min of HIIE, performed three times per week for 15 weeks compared to the same frequency of 40min of SSE exercise was associated with significant reductions in fasting insulin, total body fat, subcutaneous leg fat and abdominal fat.



  1. Speiser PW, Rudolf MCJ, Anhalt H, Comacho-Hubner C, Chiarelli F, Elakim A et al. Consensus statement: childhood obesity. J Clin Endocrinol Metab 2005; 90: 1871–1887. | Article | PubMed | ISI | ChemPort |
  2. Jakicic JM, Clark K, Coleman E, Donnelly JE, Foreyt J, Melanson E et al. Appropriate intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc 2001; 33: 2145–2156. | Article | PubMed | ISI | ChemPort |
  3. Ross R, Dagnone D, Jones PJ, Smith H, Paddags A, Hudson R et al. Reduction in obesity and related comorbid conditions after diet-induced weight loss or exercise-induced weight loss in men: a randomized, controlled trial. Ann Int Med 2000; 133: 92–103. | PubMed | ISI | ChemPort |
  4. Evans EM, Saunders MJ, Spano MA, Arngrimsson A, Lewis RD, Cureton KJ. Effects of diet and exercise on the density and composition of the fat-free mass in obese women. Med Sci Sports Exerc 1999; 31: 1778–1787. | Article | PubMed | ChemPort |
  5. Kraemer WJ, Volek JS, Clark KL, Gordon SE, Puhl SM, Koziris LP et al. Influence of exercise training on physiological and performance changes with weight loss in men. Med Sci Sports Exerc 1999; 31: 1320–1329. | Article | PubMed | ISI | ChemPort |
  6. Kyle UG, Gremion G, Genton L, Slosman DO, Golay A, Pichard C. Physical activity and fat-free and fat mass by bioelectrical impedance in 3853 adults. Med Sci Sports Exerc 2001; 33: 576–584. | PubMed | ChemPort |
  7. Shaw K, Gennat H, O'Rourke P, Del Mar C, The Cochrane Collaboration. Exercise for overweight or obesity. Cochrane Database Syst Rev 2006; 4: 1–88.
  8. Burgomaster KA, Hughes SC, Heigenhauser GJF, Bradwell SN, Gibala M. Six sessions of sprint interval training increases muscle oxidative potential and cycle endurance capacity in humans. J Appl Physiol 2005; 98: 1985–1990. | Article | PubMed |
  9. Talanian JL, Galloway SDR, Heigenhauser GJF, Bonen A, Spriet LL. Two weeks of high-intensity aerobic interval training increases the capacity for fat oxidation during exercise in women. J Appl Physiol 2007; 102: 1439–1447. | Article | PubMed | ChemPort |
  10. Dudley GA, Abraham WM, Terjung RL. Influence of exercise intensity and duration on biochemical adaptations in skeletal muscle. J Appl Physiol 1982; 53: 844–850. | PubMed | ChemPort |
  11. Tremblay A, Simoneau J, Bouchard C. Impact of exercise intensity on body fatness and skeletal muscle metabolism. Metabolism 1994; 43: 814–818. | Article | PubMed | ISI | ChemPort |
  12. Thomas S, Reading J, Shephard RJ. Revision of the physical activity readiness questionnaire (PAR-Q). Can J Sport Sci 1992; 17: 338–345. | PubMed | ISI | ChemPort |
  13. Schell J, Leelarthaepin B. Physical Fitness Assessment in Exercise and Sport Science 2nd edn. Leelar Biomediscience Services: Matraville, Australia, 1994.
  14. Carey DG, Jenkins AB, Campbell LC, Freund J, Chisholm DJ. Abdominal fat and insulin resistance in normal and overweight women. Direct measurements reveal a strong relationship in subjects at both low and high risk of NIDDM. Diabetes 1996; 45: 633–638. | Article | PubMed | ISI | ChemPort |
  15. Bertin E, Marcus C, Ruiz J-C, Eschard J-P, Leutenegger M. Measurement of visceral adipose tissue by DXA combined with anthropometry in obese humans. Int J Obes 2000; 24: 263–270. | Article | ChemPort |
  16. Paradisi G, Smith L, Burtner C, Leaning R, Garvey WT, Hook G et al. Dual energy X-ray absorptiometry assessment of fat mass distribution and its association with the insulin resistance syndrome. Diabetes Care 1999; 22: 1310–1317. | Article | PubMed | ChemPort |
  17. Van MD, Mayclin PL. Body composition assessment: dual-energy X-ray absorptiometry (DEXA) compared to reference methods. Eur J Clin Nutr 1992; 46: 125–130. | PubMed |
  18. Bonora E, Targher G, Alberiche M, Bonadonna RC, Saggiani F, Zenere MB et al. Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care 2000; 23: 57–63. | Article | PubMed | ISI | ChemPort |
  19. Péronnet F, Massicotte D. Table of nonprotein respiratory quotient: an update. Can J Sport Sci 1991; 16: 23–29. | PubMed | ISI | ChemPort |
  20. Trapp EG, Chisholm DJ, Boutcher SH. Metabolic response of trained and untrained females during high intensity intermittent cycle exercise. Am J Physiol Regul Integr Comp Physiol 2007 (in press).
  21. Weston M, Helsen W, MacMahon C, Kirkendall D. The impact of specific high-intensity training sessions of football referees' fitness levels. Am J Sports Med 2004; 32: 54S–61S. | Article | PubMed |
  22. Gorostiaga EM, Walter CB, Foster C, Hickson RC. Uniqueness of interval and continuous training at the same maintained exercise intensity. Eur J Appl Physiol Occ Physiol 1991; 63: 101–107. | Article | ChemPort |
  23. Tabata I, Nishimura K, Kouzaki M, Hiral Y, Opgita F, Miyachi M et al. Effects of moderate-intensity endurance and high-intensity intermittent training on anaerobic capacity and VO2max. Med Sci Sports Exerc 1996; 28: 1327–1330. | PubMed | ChemPort |
  24. Bi S, Scott KA, Hyun J, Ladenheim EE, Moran TH. Running wheel activity prevents hyperphagia and obesity in Otsuka long-evans Tokushima fatty rats: role of hypothamalic signaling. Endocrinology 2007; 146: 1676–1685. | Article | ChemPort |
  25. Kawaguchi M, Scott KA, Moran TH, Bi S. Dorsomedial hypothalamic corticotropin-releasing factor mediation of exercise-induced anorexia. Am J Physiol Regul Integr Comp Physiol 2005; 288: R1800–R1805. | PubMed | ChemPort |
  26. Després JP, Pouliot MC, Moorjani S, Nadeau A, Tremblay A, Lupien PJ et al. Loss of abdominal fat and metabolic response to exercise training in obese women. Am J Physiol 1991; 261: E159–E167. | PubMed | ISI | ChemPort |
  27. Gaesser GA, Rich RG. Effects of high- and low-intensity exercise training on aerobic capacity and blood lipids. Med Sci Sports Exerc 1984; 16: 269–274. | PubMed | ChemPort |
  28. Grediagin A, Cody M, Rupp J, Bernardot D, Shern R. Exercise intensity does not effect [sic] body composition change in untrained, moderately overfat women. J Am Diet Assoc 1995; 95: 661–665. | Article | PubMed | ISI | ChemPort |
  29. Ilmarinen J, Ilmarinen R, Koskela A, Koronen O, Fardy F, Partanen T et al. Training effects of stair-climbing during office hours in female employees. Ergonomics 1979; 22: 507–516. | Article | PubMed | ChemPort |
  30. Jones DM, Squires C, Rodahl K. Effect of rope skipping on physical work capacity. Res Q 1962; 33: 236.
  31. Murphy MH, Hardman AE. Training effects of short and long bouts of brisk walking in sedentary women. Med Sci Sports Exerc 1998; 30: 152–157. | PubMed | ChemPort |
  32. Williford HN, Scharff-Olson M, Blessing DL. Exercise prescription for women. Special considerations. Sports Med 1993; 15: 299–311. | Article | PubMed | ChemPort |
  33. Lapidus L, Bengtsson C, Larsson B, Pennert K, Rybo E, Sjöström L. Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow-up of participants in the population study of women in Gothenberg, Sweden. BMJ 1984; 289: 1261–1263. | PubMed |
  34. Lundgren H, Bengtsson C, Blohme G, Lapidus L. Adiposity and adipose tissue distribution in relation to incidence of diabetes in women: results from a prospective population study in Gothenberg, Sweden. Int J Obes 1989; 13: 413–423. | PubMed | ChemPort |
  35. Saris WHM. The role of exercise in the dietary treatment of obesity. Int J Obes 1993; 17: 17–21.
  36. Gwinup G, Chelvam R, Steinberg T. Thickness of subcutaneous fat and activity of underlying muscles. Ann Intern Med 1971; 74: 408–411. | PubMed | ChemPort |
  37. Katch FI, Clarkson PM, Kroll W, McBride T. Effects of sit up exercise training on adipose cell size and adiposity. Res Q Exerc Sport 1984; 55: 242–247.
  38. Wilmore JH, Atwater AE, Maxwell BD, Wilmore DL, Constable SH, Buono MJ. Alterations in body size and composition consequent to Astro-Trimmer and Slim-Skins training programs. Res Q Exerc Sport 1985; 56: 90–92.
  39. Obisesan TO, Leeuwenburgh C, Ferrell RE, Phares DA, McKenzie JA, Prior SJ et al. C-reactive protein genotype affects exercise training-induced changes in insulin sensitivity. Metab Clin Exp 2006; 55: 453–460. | PubMed | ChemPort |
  40. Ferrannini E, Camastra S, Coppack SW, Fliser D, Golay A, Mitrakou A. Insulin action and non-esterified fatty acids. The European Group for the Study of Insulin Resistance (EGIR). Proc Nutr Soc 1997; 56: 753–761. | Article | PubMed | ChemPort |
  41. Zurlo F, Lillioja S, Esposito-Del Puente A, Nyomba BL, Raz I, Saad MF et al. Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ. Am J Physiol 1990; 295: E650–E657.
  42. Markovic TP, Jenkins AB, Campbell LV, Furler SM, Kraegen EW, Chisholm DJ. The determinants of glycemic responses to diet restriction and weight loss in obesity and NIDDM. Diabetes Care 1998; 21: 687–694. | Article | PubMed | ChemPort |
  43. Valera-Mora ME, Simeoni B, Gagliardi L, Scarfone A, Nanni G, Castagneto M et al. Predictors of weight loss and reversal of comorbidities in malabsorptive bariatric surgery. Am J Clin Nutr 2005; 81: 1292–1297. | PubMed | ChemPort |
  44. Teixeira PJ, Going SB, Houtkooper LB, Cussler EC, Metcalfe LL, Blew RM et al. Pretreatment predictors of attrition and successful weight management in women. Int J Obes Rel Metab Dis 2004; 28: 1124–1133. | Article | ChemPort |

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