Food & Nutrition Journal (ISSN: 2575-7091)

Article / research article

"Influence of High vs. Low Carbohydrate Ingestion on Substrate Oxidation Patterns of Males and Females During Running Bouts at the Individual Anaerobic Threshold"

Raul De Souza Silveira1,2,3*, Stephan Kopinski1, Frank Mayer1 and Anja Carlsohn1,3

1University of Potsdam Outpatient Clinic, Center of Sports Medicine, Potsdam University, Germany

2Swiss Federal Institute of Sport Magglingen, Maggligen, Switzerland

3University of Education Schwaebisch Gmuend, Department of Health Sciences, Schwaebisch Gmuend, Germany

*Corresponding author: Raul De Souza Silveira, University of Potsdam Outpatient Clinic, Center of Sports Medicine, Potsdam University, Am Neuen Palais 10, Haus 12, 14469 Potsdam, Germany, Tel: +49 03319771439; E-mail: desouzas@uni-potsdam.deraul.desouzasilveira@ph-gmuend.de 

Received Date: 03 March, 2016; Accepted Date: 30 March; 2016; Published Date: 13 April, 2016

Background: To date, it remains unclear how pre-exercise CHO availability modulates the oxidative regulation of substrates when exercise is conducted at the intensity (VIAT) where the Individual Anaerobic Threshold (IAT) is located. This study aimed in assessing the impact of High CHO (HC) vs. Low CHO (LC) diets (where on the LC day a combination of low CHO diet and a glycogen depleting exercise was implemented) on the oxidative regulation of CHOs and lipids while exercise is conducted at VIAT.

Methods: 16 recreational runners (m=8; f=8; 28 ± 3 y; 1.76 ± 0.09 m; 72 ± 13 kg; 23 ± 2 kg/m²) performed 3 different running protocols, each allocated on a different day. At day 1, a maximal stepwise incremental test was implemented to assess the IAT and VIAT. During days 2 and 3, participants ran a constant-pace bout (30 min) at VIAT that was combined with randomly assigned HC (7g/kg/d) or LC (3g/kg/d) diets for the 24 h before testing. Breath-by-breath gas exchange data was measured continuously and used to determine substrate oxidation. Dietary data and differences in substrate oxidation were analyzed with a paired t-test. A two-way ANOVA tested the diet X gender interaction (α = 0.05).

Results: Overall, the IAT and VIAT were 2.74 ± 0.39 mmol/l and 11.1 ± 1.4 km/h, respectively. CHO oxidation was 3.45 ± 0.08 and 2.90 ± 0.07 g/min during HC and LC bouts respectively (P < 0.05). Likewise, lipid oxidation was 0.13 ± 0.03 and 0.36 ± 0.03 g/min (P < 0.05). Females had 14% (P < 0.05) and 12% (P > 0.05) greater lipid oxidation compared to males during HC and LC bouts, respectively.

Conclusion: Twenty-four hours of high CHO consumption results in concurrent higher CHO oxidation rates and overall utilization, whereas maintaining a low systemic CHO availability significantly increases the contribution of lipids to the overall energy metabolism. The observed gender differences underline the necessity of individualized dietary planning before exerting at intensities associated with performance exercise. Ultimately, it remains to be established how these findings can be extrapolated to training and competitive situations and with that provide trainers and nutritionists with improved data to derive training prescriptions.

Keywords: Carbohydrate intake; Individual anaerobic threshold; Running; Substrate oxidation

Abbreviations

CHO                       :               Carbohydrate

VO2max                         :               Maximal oxygen uptake

IAT                         :               Individual Anaerobic Threshold

VIAT                                :               Individual Anaerobic Threshold’s intensity

HC                         :               High Carbohydrate

LC                          :               Low Carbohydrate

BMI                        :               Body Max Index

%BF                      :               Percentage Body Fat

VO2peak                       :               Peak Oxygen uptake

HRmax                          :               Maximal Heart Rate

VO2                              :               Oxygen uptake

VCO2                            :               Carbon dioxide output

RER                       :               Respiratory Exchange Ratio

Med                      :               Medical check

Glyc depl               :               Glycogen depleting bout

Carbohydrate (CHO) and lipids are the main substrates fueling exercise, each having its oxidation patterns regulated by several factors such as intensity and duration of the activity, dietary intake pattern, gender and training status [1-5]. When described as a sole function of exercise intensity, the oxidative metabolism of these two substrates has a clear pattern. At low and moderate intensities, lipid (intramyocellular lipids and plasma free fatty-acids) is the main substrate being oxidized while CHO metabolism (blood glucose and stored muscle glycogen) increases parallel to exercise intensity and predominates at times of high physical exertion [6-8]. Steady-state exercise on the other hand (i.e., an exercise level that can be maintained for a prolonged period of time), normally favors lipid oxidation [8].

Based upon these regulatory mechanisms and depending on individual goals, professional and recreational athletes may be advised to vary their training regimen around different intensities (using and conditioning both aerobic and anaerobic energetic pathways), while aiming to expand endurance capacity, power and performance [9]. Likewise, nutrition has the potential to alter the metabolic regulation of substrates with the intake of CHOs in particular, being not only crucial to fuel exercise at intensities above 65% of maximal oxygen uptake (VO2max), but also directly assisting in the post-exercise recovery phase [3,10]. For instance, CHO-loading strategies (7-10 g/kg/d) may increase not only glycogen storage (up to 42% post-prandial) but also its overall usage, which in turn delays fatigue allowing exercise to be prolonged and endurance performance to be improved [3,11-14]. Still, this latter mechanism is somewhat restricted to the male athletic population as females are well known for having a greater reliance on lipid metabolism compared to males [15]. In addition, female athletes have had mixed results when it comes to increasing muscle glycogen storage capacity and/or enhancing endurance exercise performance (i.e., despite CHO-loading equivalent to ~75% of the energy intake during 4-6 days) [7,13,16,17].

Yet, it remains unclear how pre-exercise CHO intake modulates the oxidative regulation of CHOs and lipids, when exercise is conducted at the intensity where the Individual Anaerobic Threshold (IAT) is located (VIAT). Namely, a metabolic marker delineating the upper levels of endurance capacity in which a shift in the oxidative regulation of substrates is expected favoring a CHO driven metabolism [18-20]. The IAT represents the upper border where constant load endurance exercise can be sustained, being commonly used to guide athletic training (e.g., when aiming to improve endurance capacity) or in performance diagnostics [19-22]. Exertion at VIAT can be generally sustained for up to 60 minutes, though the average speed of a marathon is only slightly under it [18,19]. Consequently, in order to assist coaches, trainers and nutritionists in their pre-exercise nutritional plans, it is necessary to investigate and understand how pre-exercise nutrition (especially CHO intake) affects the metabolic regulation of substrates as individuals exercise in accordance to such specific biomarkers of performance and exercise capacity [23,24]. Thus, the aim of the present investigation was to assess the impact of High CHO (HC) vs. Low CHO (LC) diets on the oxidative regulation of CHOs and lipids while moderately endurance-trained males and females run at VIAT.

Methods

Subjects

Sixteen healthy recreational runners (8 males/8 females) voluntarily took part in this investigational study. The ethics committee of the University of Potsdam approved the study and participants gave their written informed consent after receiving detailed information on the investigational protocol and study aims. To increase the cohort’s homogeneity in regards to physical conditioning, subjects, were only included if weekly training was ≥3 hours. Anthropometric characteristics are provided in table 1.

General design

All examinations were conducted at the Outpatient Clinic from Potsdam University. A full medical check (anamnesis, anthropometrics, physical examination, resting ECG) was carried out preceding the first exercise appointment as recommended by the German Federation for Cardiovascular Prevention and Rehabilitation [25]. At day 1, participants performed a baseline running test in which the IAT [26], VIAT, peak oxygen uptake (VO2peak) and maximal Heart Rate (HRmax)(RS 400, ©Polar Electro, Finland) were determined. On days 2 and 3, a submaximal running test at VIAT was carried out on the same treadmill ergometer (H/P/Cosmos Pulsar Graphics 2005®, Germany). A breath-by-breath Metamax 3B system (Cortex Biophysik GmbH. Leipzig, Germany) was used to monitor respiratory data and to determine CHO and lipid oxidation rates via indirect calorimetry (detailed below). For the 2 submaximal runs, HC (7g/kg/d) and LC (3g/kg/d) dietary protocols were prescribed for the 24 hours preceding each test (detailed below). As part of the LC protocol, a glycogen-depleting running bout was additionally performed (60 min at 75% HRmax in the evening, 12 h prior to the actual submaximal running bout; figure 1 depicts a flowchart of the investigational design). Participants were additionally advised to refrain from any other exercise practices during the 48 hours preceding each submaximal bout.

Experimental design

Baseline test: Subjects performed a stepwise incremental test until volitional exhaustion. The initial stage (6 km/h), stage increment (2 km/h) and stage duration (3 min) were defined to exhaust subjects in not less than 4 stages [27]. Lactate concentrations were measured in between stages from capillary blood samples taken from the hyperemized earlobe (Biosen S line, EKF diagnostic GmbH, Magdeburg, Germany).

Submaximal runs: Forty-eight hours after the baseline test, subjects performed the first submaximal run. This bout was composed of a 30 minutes, constant-pace endurance run at VIAT. The second submaximal bout was then carried out 7 days later at the same time for each participant (07:15, 8:00 or 8:45 am). Before commencing the tests, a 3 min run at 80% VIAT served as a warm up not only so subjects could adapt to the forthcoming brisk exercise pace, but also to stabilize cardiopulmonary parameters and reduce possible breathing artifacts that may arise at the beginning of exercise testing [28].

Nutritional intervention & managing CHO availability: The HC and LC dietary protocols were randomly assigned for the 24 hours preceding each submaximal run. This one day nutritional intervention has its caloric content calculated for each individual based on the basal metabolic rate and the World Health Organization’s PAL-Score [29,30]. Dietary protocols were only prescribed with no food being supplied throughout the investigation. Therefore for compliance control, food intake was documented in a standardized diet record form [31] and analyzed later on. Nutrient and energetic values, including possible deviations from the prescribed protocols were computed based on the German Nutrition database (PRODI 5.7, Nutri-Science GmbH, Hausach, Germany). The dietary plan was designed for breakfast, lunch and dinner (plus in between snacks), and consisted of foods typically eaten in Germany. The plan was standardized with no caffeine (with the exception of a standardized morning coffee) alcohol or supplements included, and individually adapted to body mass to achieve CHO aims. As part of the LC protocol, an exercise bout with duration and intensity proven to deplete glycogen stores was implemented [32,33]. This bout combined to the LC diet (which subsequently avoids glycogen recovery or super compensation) [34,35], would then create a metabolic state where low CHO availability can be assumed. The amounts of CHO intake (i.e., 7 vs. 3 g/kg/d) were chosen, as these are common thresholds used in both clinical and scientific settings.

Gas exchange data analysis & calculations: Values from respiratory volume and gas concentrations were transmitted directly to the analysis software (Metasoft 3, version 3.9). All tests had the investigated gas exchange parameters viewed with an average time interval of 10 seconds. VO2peak was defined as the highest Oxygen uptake (VO2) recorded during the baseline test within a period of 30 seconds. For the two submaximal runs, calculations of CHO and lipid oxidation rates were performed using stoichiometric equations in accordance to the non-protein respiratory quotient technique [36].

Lipid oxidation rate (mg/min-1)=–1.7012 VCO2 + 1.6946 VO2

CHO oxidation rate (mg/min-1)=4.585 VCO2 – 3.2255 VO2

This technique provides calculations for substrate oxidation under the assumption that urinary nitrogen excretion is negligible. Markers were set every 5 minutes during the possible 30 minutes of each submaximal exercise bout. Respiratory data as well as CHO and lipid oxidation values were averaged from the last 30 seconds preceding every marker.

Statistics: All of the analyzed parameters are descriptively reported as mean and Standard Deviation (±SD). Statistical analysis was performed using a commercial software package SPSS, version 20, IBM, USA and Microsoft Excel 2011. Samples were checked for normality using the Shapiro-Wilk test. Gender differences in anthropometry, baseline parameters and within nutritional protocols were tested with an unpaired t-test. Differences in dietary data, cardiopulmonary parameters as well as differences in substrate oxidation between the trials with different nutritional protocols (including gender comparisons) were computed with a paired t-test. The interaction of the gas-exchange variables between diet and gender was analyzed with a two-way ANOVA for repeated measures (diet x gender). Significance was set at an alpha level of 0.05.

Results

Baseline characteristics: As presented in table 2, the overall values for IAT, VIAT and HRmax were 2.74 ± 0.39 mmol/l, 11.1 ± 1.4 km/h and 194 ± 10 beats/min respectively, with no significant gender differences. VO2peak differed significantly between genders with males achieving 50 ± 0 ml/min/kg and females 44 ± 5 ml/min/kg.

Cardiopulmonary parameters during HC and LC bouts: As shown in figure 4a, with no significant differences between bouts at any of the measured points (P = 0.756 at rest; P = 0.768 at 5 min; P = 0.145 at 10 min; P = 0.067 at 15 min; P = 0.069 at 20 min; P = 0.089 at 25 min; P = 0.079 at 30 min), the overall HR ranged from 161 ± 11 (at 5 min) to 176 ± 13 beats/min (at 30 min; P = 0.001) during the HC bout, and from 165 ± 12 to 178 ± 11 beats/min (P = 0.007) during the LC bout respectively. Mean VO2 was 38 ± 5 and 39 ± 5 ml/min/kg during HC and LC bouts respectively (P = 0.086 at 5 min; P = 0.060 at 10 min; P = 0.189 at 15 min; P = 0.518 at 20 min; P = 0.059 at 25 min; P = 0.132 at 30 min; figure 4b). The Respiratory Exchange Ratio (RER) was significantly higher during the HC bout at all measure points (P = 0.006 at 5 min; P = 0.000 at 10 min; P = 0.003 at 15 min; P = 0.001 at 20 min; P = 0.007 at 25 min) but the last (P = 0.059 at 30 min; figure 4c).

CHO and lipid oxidation: Relative (%) and absolute (g/min) values for overall CHO and lipid oxidation recorded during the two submaximal runs are presented in figure 5a-d. Substrate oxidation differed significantly between HC and LC bouts at minutes 5 to 25 but not at minute 30 (P = 0.000; P = 0.001; P = 0.001; P = 0.010; P = 0.003; P =0.059). CHO oxidation was on average 3.45 ± 0.08 and 2.90 ± 0.07 g/min (P = 0.000) during HC and LC bouts respectively. Likewise, lipid oxidation rates were 0.13 ± 0.03 and 0.36 ± 0.03 g/min (P = 0.000). CHO metabolism accounted for 84 ± 15 and 72 ± 20% (P = 0.000) of the overall oxidized substrates during both HC and LC bouts respectively. Figure 6a-d displays gender differences in the amount of oxidized substrates during the runs and relative to overall substrate use. When comparing CHO and lipid oxidation within each of the two nutritional states, significant gender differences could only be shown during the HC run, and at the measurement times of 5, 10, 25 and 30 minutes (P  = 0.002; P  = 0.004; P  = 0.017; P  = 0.006;), but inconsistently at minutes 15 and 20 (P  = 0.066; P  = 0.059). The relative contribution of CHOs to the overall oxidative metabolism was greater in males compared to females (i.e., 90 ± 11% vs. 76 ± 16% (P = 0.033) in the HC run and 77 ± 13% vs. 65 ± 24% (P = 0.059) in the LC run respectively). Consistently, the relative contribution of lipids was higher in females compared to males (i.e., 24 ± 16% vs. 10 ± 11% (P = 0.033) in the HC run and 35 ± 24% vs. 23 ± 13% (P = 0.059) in the LC run respectively). The analysis of interaction effects between nutrition and gender resulted in non-significant findings (P = 0.766).

Discussion

The present study analyzed the oxidative regulation of CHOs and lipids in a group of recreational runners as they performed 2 running bouts with standardized intensity at VIAT. Participants were well fed with CHOs (HC protocol) or presumably, in a metabolic state of reduced CHO availability (LC protocol) before completing each bout. Baseline results indicate a fairly homogeneous physical conditioning among subjects as no significant gender differences were observed for IAT (mmol/l) or VIAT (km/h). Throughout the 30 minutes submaximal runs, overall HR increased constantly and equally (~80 to 90% HRmax), with high but steady-state VO2 recordings (~80% VO2peak). Yet, as clearly depicted in the overall ventilatory response to exercise (Figure 4c), the applied dietary scheme has influenced the oxidative regulation of substrates, with CHO metabolism prevailing throughout runs. Overall, CHO oxidation was 0.55 g/min (~16%; P = 0.000) greater during the HC compared to the LC run. Conversely, lipid oxidation was 0.23 g/min (~64%; P = 0.000) greater during the LC compared to the HC bout. In relation to the overall energy metabolism, these differences reflect a significant increase of 12% in the oxidative activity of each substrate depending on which dietary protocol had been implemented.

At a gender level, CHO oxidation was also predominant, though females were able to consistently oxidize more lipids than males under both conditions and throughout the entire duration of bouts (i.e., 14 and 12% greater lipid oxidation during HC and LC bouts, respectively). Males on their side had higher CHO oxidation rates computed at both conditions, with highest and significant differences being recorded during the HC bout. It should be noted nonetheless, that during the LC bout lipid oxidation might have even been suppressed in females, as CHO intake was exceeded in 26% (P = 0.003) compared to only a 3% (P = 0.520) extrapolation by males. However, as glycogen itself was not measured, it cannot be completely assured whether the performed pre-exercise protocols had any effect on glycogen concentrations or its subsequent utilization during exercise. Nevertheless, as pointed out by Andrews et al., [13], the significantly higher RER recorded in the HC bout are reflective of a higher rate of CHO metabolism, indicating that when CHO is made available through pre-exercise loading, one will also preferentially utilize CHO. In addition, a significantly higher VO2 capacity from males at both baseline (12%) and during the submaximal bouts (~15%) could partly explain why males consistently oxidized more CHOs [18], even though relative to VO2peak, exercise was performed at the same intensity by both genders (i.e., 41 ± 2 vs. 35 ± 6 ml/min/kg and 42 ± 2 vs. 36 ± 5 ml/min/kg for males and females during HC and LC bouts respectively).

Physiological explanations to the observed findings suggest that increasing endogenous CHO availability will result in a greater muscle glycogenolysis and/or muscle glucose uptake, thus preventing a decline in blood glucose concentration during subsequent exercise, ultimately favoring a CHO driven metabolism while lipid oxidation is partially inhibited [13,14,37]. Moreover, during constant exercise at VIAT, anaerobic glycolysis is enhanced (fuelled almost exclusively from plasma glucose entering the muscle fiber via facilitated diffusion and the glucose transporter type 4, or from glucose-phosphate provided through glycogenolysis from muscle glycogen), and provides a constantly increasing portion of the energy yield [19,20]. Still, why females burn more lipids than males even at high exertion levels remains debatable. Plausible explanations in literature imply that a variety of factors such as the distribution and activation of α and β-adrenergic receptors, aerobic capacity but mostly endocrine mediated responses, predispose females to have a greater reliance on lipid oxidation compared to males [13,38,39]. Additionally, glycogen supercompensation occurs to a smaller extent in females compared to males [40], thereby directly affecting its subsequent availability for oxidation.

To our knowledge, the current investigation is the first to analyze how a simple, 24-hour manipulation of CHO intake may affect substrate oxidation during a constant, high-intensity running bout at VIAT. In this sense, we would like to point out some plausible practical implications to our findings before making appraisals to previous investigations as well as raising a few prospective questions. Coaches, trainers and nutritionists should be aware of the reported oxidative patterns and how those ultimately influence the empting rates of glycogen (or glycogen sparing for that matter, as well as how those may influence high-intensity training and competition performance, which still remain to be established), and therefore, reinforce an individual and gender-based approach to pre-exercise nutrition. For example, as females show a greater reliance on lipid metabolism compared to males, in spite of similar (or greater) systemic CHO loading. In addition, they should be attentive when planning training strategies to the fact, that an identical bout of exercise may result in different metabolic reactions and may thus, cause different metabolic adaptations to training. Unfortunately, as shown by Wissman & Willoughby [41], only a limited amount of studies [40-42] have reported on substrate oxidation while combining CHO-loading strategies and exercising conditions that are similar to the ones applied in the present investigation. Tarnopolsky et al., [42] reported on gender differences in substrate oxidation when CHO intake was increased from 55 to 75% of the total energy intake during 4 days prior to exercise. They showed that when cycling at 75% VO2peak for 60 minutes, females oxidized significantly more lipids and less CHOs compared to males. However, these findings should be critically interpreted as CHO intake was not prescribed relative to body weight, and consequently males ended up having a higher intake than females (i.e., 8.2 and 6.4 g/kg/d respectively). In one other study, Walker et al., [40] used a CHO-loading strategy consisting of moderate (4.7 g/kg/d) and high (8.2 g/kg/d) intakes of CHO for 7 days before participants (females only) cycled at ~80% VO2max until volitional exhaustion. Results, which account for the first 75 minutes of exercise, reveal a significant increase of 0.44 g/min (~16%) in CHO oxidation during the high compared to the moderate intake bout. Conversely, lipid oxidation was 0.17 g/min (~40%) greater during the moderate intake bout (P < 0.05). In this particular study, muscle glycogen increased 13% after the high compared to the moderate CHO protocol. Though significant, the magnitude of this supercompensation was still smaller than those previously observed in male athletes [40]. Other investigations, for instance, the so-called “Train Low” studies, have reported on the effects of training in a glycogen-depleted state and found it to be an effective strategy to increase lipid metabolism in athletes [43,44]. However, the benefits of such a protocol remains debatable, as no gains in endurance performance have been consistently observed [24,43]. Moreover, as recently highlighted by Scharhag-Rosenberger [24], such a training strategy may induce a down-regulation in CHO metabolism, which consequently hinders the body’s ability to make use of the potentially spared glycogen stores. Therefore, it would be of interest for prospective studies to investigate the effects of systematic training at VIAT (e.g., on substrate oxidation activity and adaptability over time, as well as against performance time-trials or bouts until volitional exhaustion) whilst subjects are well fed with CHOs or in a metabolic state of reduced CHO (glycogen) availability.

Lastly, we would like to acknowledge a few limitations of the current study. Female’s menstrual cycle was not controlled. Therefore we cannot account on the eumenorrhoeic or amenorrhoeic status of the assessed female participants, as well as whether and how the follicular or luteal phases of their menstrual cycle could have influenced substrate oxidation. Dietary intake was only controlled for the 24 hours prior to each submaximal exercise bout. In addition, due to methodological limitations, glycogen levels were not objectively assessed. Hence, we cannot assure if previous nutrient intake (i.e., outside of the controlled 24 hours) would have resulted in significant additional accumulation CHOs, or whether that could have influenced glycogen concentrations and subsequently substrate utilization. Future studies should in this case control for baseline glycogen levels before nutritional interventions are began and introduce longer dietary control periods. Still, our combined protocols of controlled dietary and exercise regimes have certainly brought subjects into the intended acute metabolic states of high and low systemic CHO availability.

Conclusion

The current investigation aimed in providing more evidence and a better understanding on the metabolic regulation of substrates when pre-exercise CHO intake is manipulated and exercise is performed at a level of upper endurance capacity. Our findings suggest that24 hours of high CHO consumption results in concurrent higher CHO oxidation rates and overall utilization, whereas maintaining a low systemic CHO availability significantly increases the contribution of lipids to the overall energy metabolism. The observed gender differences clearly underline the necessity of individualized dietary planning before exerting at intensities associated with performance exercise (e.g., prolonged exercise at VIAT). Ultimately, it remains to be established how these findings can be extrapolated to training and competitive situations and with that provide trainers and nutritionists with improved data to derive training prescriptions.

 

Figure 1: Flowchart depicting investigational design of the randonmly assigned protocols.

Med – Medical check; Glyc depl – Glycogen depleting bout

 

Figure 2: Reported CHO intake during HC and LC days.Dotted lines mark the targeted amounts for CHO intake.

 

 

Figure 3: Gender comparisons of CHO intake within dietary protocols.Values are expressed as median, quartiles and extremes; * – P < 0.05

 

 

Figure 4: Cardiopulmonary parameters during HC and LC runs. a) Displays the average HR measured during submaximal runs at rest and each of the 5 min marker points; b) Displays the average VO2 measured during submaximal runs at each of the 5 min maker points; and c) Displays the average RER (i.e., the ratio between Oxygen uptake (VO2) and Carbon dioxide output (VCO2)) measured during the submaximal runs at each of the 5 min marker points; All values are mean±SD; * – P<0.05

 

 

Figure 5: Relative (%) and absolute (g/min) values for overall CHO and lipid oxidation recorded during both submaximal runs. a) CHO oxidation (g/min) during HC and LC runs at each of the 5 min measurement points; b) CHO oxidation (%) during HC and LC runs at each of the 5 min measurement points (Raw data corrected: values > 100% [cutoff]); c) Lipid oxidation (g/min) during HC and LC runs at each of the 5 min measurement points (Raw data corrected: values < 0 g/min [cutoff]); and d) Lipid oxidation (%) during HC and LC runs at each of the 5 min measurement points (Raw data corrected: values < 0% [cutoff]).

All values are mean ± SD; * – P < 0.05

 

 

Figure 6: Gender differences relative (%) to the overall amount of oxidized substrates during both submaximal runs. a) Gender comparison for CHO oxidation during HC run (Raw data corrected: values > 100% [cutoff]); b) Gender comparison for CHO oxidation during LC run (Raw data corrected: values > 100% [cutoff]); c) Gender comparison for lipid oxidation during HC run (Raw data corrected: values < 0% [cutoff]); and d) Gender comparison for lipid oxidation LC run (Raw data corrected: values < 0% [cutoff]).

All values are mean ± SD; * – P < 0.05

 

 

 

 

Overall (n=16)

 

Males (n=8)

 

Females (n=8)

 

P values

Age (yrs.)

28 ± 3 30 ± 3 26 ± 2 0.005

Height (m)

1.76 ± 0.09 1.83 ± 0.08 1.70 ± 0.03 0.001

Weight (kg)

72 ± 13 83 ± 8 61 ± 5 0.000

BMI (kg/m2)

23 ± 2 24.9 ± 1.1 21.2 ± 1.3 0.000

%BF

14.7 ± 3.3 14.1 ± 3.5 15.3 ± 3.0 0.510

 

Table 1: Anthropometric data of subjects.

BMI – Body mass index; %BF – Percentage Body Fat (determined from skin folds); All values are mean±SD; P values reflect gender comparisons only

 

 

 

Overall

 

Males

 

Females

 

P values

VO2peak (ml/min/kg)

47 ± 5 50 ± 0 44 ± 5 0.003

HRmax (beats/min)

194 ± 10 193 ± 12 195 ± 5 0.808

VIAT (km/h)

11.1 ± 1.4 11.4 ± 0.8 10.7 ± 1.8 0.366

IAT (mmol/l)

2.74 ± 0.39 2.71 ± 0.43 2.77 ± 0.40 0.750

 

Table 2: Performance at baseline test.

All values are mean±SD; P values reflect gender comparisons only

  1. Brooks GA, Mercier J (1994) Balance of carbohydrate and lipid utilization during exercise: the “crossover” concept. J Appl Physiol (1985) 76: 2253-2261.
  2. Weltan SM, Bosch AN, Dennis SC, Noakes TD (1998) Influence of muscle glycogen content on metabolic regulation. Am J Physiol 274: 72-82.
  3. Pendergast DR, Meksawan K, Limprasertkul A, Fisher NM (2011) Influence of exercise on nutritional requirements. Eur J Appl Physiol 111: 379-390.
  4. Gonzalez JT, Stevenson EJ (2012) New perspectives on nutritional interventions to augment lipid utilization during exercise. Brit J Nutr107: 339-349.
  5. Gmada N, Marzouki H, HajSassi R, Tabka Z, Shephard R, et al. (2012) Relative and absolute reliability of the crossover and maximum fat oxidation points and their relationship to ventilatory threshold. Sci Sports 28: 99-105.
  6. Achten J, Jeukendrup AE (2003) Maximal Fat Oxidation During Exercise in Trained Men. Int J Sports Med 24: 603-608.
  7. Zehnder MM, Ith R, Kreis W, Saris W, Boutellier U, et al. (2005) Gender-Specific Usage of Intramyocellular Lipids and Glycogen during Exercise. Med Sci Sport Exer 37: 1517-1524.
  8. Brun JF, Jean F, Ghanassia E, Flavier S, Mercier J (2007) Metabolic training: new paradigms of exercise training for metabolic diseases with exercise calorimetry targeting individuals. Ann Readapt Med Phys 50: 528-534.
  9. Karakoç B, Akalan C, AlemdaroÄŸlu U, Arslan E (2012) The Relationship Between the Yo-Yo Tests, Anaerobic Performance and Aerobic Performance in Young Soccer Players. J Hum Kinet 35: 81-88.
  10. Romijn JA, Coyle EF, Sidossis LS, Gastaldelli A, Horowitz JF, et al. (1993) Regulation of endogenous fat and carbohydrate metabolism in relation to exercise intensity and duration. Am J Physiol 265: 380-391.
  11. Neufer PD, Costill DL, Flynn MG, Kirwan JP, Mitchell JB, et al. (1987) Improvements in exercise performance: effects of carbohydrate feedings and diet. J Appl Physiol 62: 983-988.
  12. Chryssanthopoulos C, Williams C, Nowitz A, Bogdanis G (2004) Skeletal muscle glycogen concentration and metabolic responses following a high glycemic carbohydrate breakfast. J Sports Sci 22: 1065-1071.
  13. Andrews JL, Sedlock DA, Flynn MG, Navalta JW, Ji H (2003) Carbohydrate loading and supplementation in endurance-trained women runners. J Appl Physiol 95: 584-590.
  14. Wee SL, Williams C, Tsintzas K, Boobis L (2005) Ingestion of a high-glycemic index meal increases muscle glycogen storage at rest but augments its utilization during subsequent exercise. J Appl Physiol 99: 707-714.
  15. Tarnopolsky MA (2008) Sex differences in exercise metabolism and the role of 17-beta estradiol. Med Sci Sports Exerc 40: 648-654.
  16. Roepstorff C, Steffensen CH, Madsen M (2002) Gender differences in substrate utilization during submaximal exercise in endurance-trained subjects. Am J Physiol Endocrinol Metab 282: 435-447.
  17. Ruby BC, Coggan AR, Zderic TW (2002) Gender differences in glucose kinetics and substrate oxidation during exercise near the lactate threshold. J Appl Physiol 92: 1125-1132.
  18. Billat VL, Sirvent P, Py G, Koralsztein JP, Mercier J (2003) The concept of maximal lactate steady state: a bridge between biochemistry, physiology and sport science. Sports Med 33: 407-426.
  19. Faude O, Kindermann W, Meyer T (2009) Lactate Threshold Concepts: How Valid Are They? Sports Med 39: 469-490.
  20. Péronnet F (2010) Lactate as an End-Product and Fuel. Dtsch Z Sportmed 5: 112-116.
  21. Kindermann W (2004) Anaerobe Schwelle Standards der Sportmedizin. Dtsch Z Sportmed 55: 161‐
  22. Stegmann H, Kindermann W, Schnabel A (1981) Lactate kinetics and individual anaerobic threshold. Int J Sports Med 2: 160‐
  23. Fröhlich J, Urhausen A, Seul U, Kindermann W (1989) Beeinflussung der individuellen anaeroben Schwelle durch kohlenhydratarme und -reiche Ernährung. Dtsch Z Sportmed 4: 18.
  24. Scharhag-Rosenberger F (2012) Fettstoffwechseltraining. Dtsch Z Sportmed 63: 357-359.
  25. Bjarnason-Wehrens B, Mayer-Berger W, Meister ER, Baum K, Hambrecht R, et al. (2004) Einsatz von Kraftausdauertraining und Muskelaufbautraining in der kardiologischen Rehabilitation. Empfehlungen der Deutschen Gesellschaft fürPrävention und Rehabilitation von Herz-Kreislauferkrankungen e.V. Z Kardiol 93: 357-370.
  26. Dickhuth HH, Yin L, Niess A, Röcker K, Mayer F, et al. (1999) Ventilatory, lactate-derived and catecholamine thresholds during incremental treadmill running: relationship and reproducibility. Int J Sports Med 20: 122-127.
  27. Meyer T, Folz C, Rosenberger F, Kindermann W (2009) The Reliability of Fatmax. Scand J Med Sci Sports 19: 213-221.
  28. Xu F, Rhodes EC (1999) Oxygen Uptake Kinetics During Exercise. Sports Med 27: 313-327.
  29. Harris JA, Benedict FG (1918) A Biometric Study of Human Basal Metabolism. Proc Natl Acad Sci USA 4: 370-373.
  30. [No authors listed] (2005) Human energy requirements. Scientific background papers from the Joint FAO/WHO/UNU Expert Consultation. October 17-24, 2001. Rome, Italy. Public Health Nutr 8: 929-1228.
  31. Carlsohn A, Scharhag-Rosenberger F, Schapp L, Fusch G, Mayer F (2012) Validität der Energiezufuhrbestimmung mittels Ernährungsprotokoll bei Normal- gewichtigen in Abhängigkeit von der Höhe der Energiezufuhr. Ern Um 572-577.
  32. Costill DL, Sparks K, Gregor R, Turner C (1971) Muscle glycogen utilization during exhaustive running. J Appl Physiol 31: 353-356.
  33. Krssak M, Petersen KF, Bergeron R, Price T, Laurent D, et al. (2000) Intramuscular glycogen and intramyocellular lipid utilization during prolonged exercise and recovery in man: a 13C and 1H nuclear magnetic resonance spectroscopy study. J Clin Endocrinol Metab 85: 748-754.
  34. Philp A, Hargreaves M, Baar K (2012) More than a store: regulatory roles for glycogen in skeletal muscle adaptation to exercise. Am J Physiol Endocrinol Metab 302: 1343-1351.
  35. Jensen TE, Richter EA (2012) Regulation of glucose and glycogen metabolism during and after exercise. J Physiol 590: 1069-1071.
  36. Péronnet F, Massicotte D (1991) Table of Nonprotein Respiratory Quotient: An Update. Can J Spt Sci 16: 23-29.
  37. Cermak NM, van Loon LJ (2013) The use of carbohydrate during exercise as an ergogenic aid. Sports Med 43: 1139-1155.
  38. Braun B, Horton T (2001) Endocrine regulation of exercise substrate utilization in women compared to men. Exerc Sport Sci Rev 29: 149-154.
  39. Friedlander AL, Casazza GA, Horning MA, Huie MJ, Piacentini MF, et al. (1998) Training-induced alterations of carbohydrate metabolism in women: women respond differently from men. J Appl Physiol 85: 1175-1186.
  40. Walker JL, Heigenhauser GJ, Hultman E, Spriet LL (2000) Dietary carbohydrate, muscle glycogen content, and endurance performance in well-trained women. J Appl Physiol 88: 2151-2158.
  41. Wismann J, Willoughby D (2006) Gender Differences in Carbohydrate Metabolism and Carbohydrate Loading. J Int Soc Sports Nutr 3: 28-34.
  42. Tarnopolsky MA, Atkinson SA, Phillips SM, MacDougall JD (1995) Carbohydrate loading and metabolism during exercise in men and women. J Appl Physiol 78: 1360-1368.
  43. Hawley JL, Burke LM (2010) Carbohydrate availability and training adaptation: effects on cell metabolism. Exerc Sport Sci Rev 38: 152-160.
  44. Burke LM (2010) Fueling strategies to optimize performance: training high or training low? Scand J Med Sci Sports 20: 48-58.

Citation: Silveira RDS, Kopinski S, Mayer F, Carlsohn A (2016) Influence of High vs. Low Carbohydrate Ingestion on Substrate Oxidation Patterns of Males and Females During Running Bouts at the Individual Anaerobic Threshold. Food Nutr J 1: 102. DOI: 10.29011/2575-7091.100002

free instagram followers instagram takipçi hilesi