Impact of a 12-week high-intensity interval training without caloric restriction on body composition and lipid profile in sedentary healthy overweight/obese youth

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J Exerc Rehabil Vol. 14, No. 1, 118-125, February, 2018

Publication date (electronic) : 2018 February 26

doi : https://doi.org/10.12965/jer.1835124.562

Marwa Khammassi^1,2,3,, Nejmeddine Ouerghi^1,4, Sameh Hadj-Taieb⁴, Moncef Feki⁴, David Thivel², Anissa Bouassida¹

¹Research Unit, Sportive Performance and Physical Rehabilitation, High Institute of Sports and Physical Education of Kef, University of Jendouba, Kef, Tunisia

²Clermont University, Blaise Pascal University, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Cedex, France

³University of Carthage, Faculty of Science of Bizerte, Bizerte, Tunisia

⁴Department of Biochemistry, Rabta Hospital, Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia

^*Corresponding author: Marwa Khammassi, https://orcid.org/0000-0002-5509-5997, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), BP 80026, F-63171 Aubière, Cedex, France, Tel & Fax: +33-473407679, E-mail: khammassimarwa.issep@hotmail.com.

Received 2017 October 6; Accepted 2018 January 7.

Abstract

INTRODUCTION

While physical inactivity has a wide range of adverse health consequences such as obesity, hypertension and various metabolic disorders (Kannan et al., 2014), nearly 31% of people aged 15 and older show insufficient physical activity (men 28% and women 34%) according to the World Health Organization (2008), Moreover, this lack of physical activity is accompanied by an increasing availability and consumption of energy dense food, rich in lipids and carbohydrates, seriously damaging cardiovascular health.

Physical training and especially aerobic training, is considered to be one of the angular stones for cardiovascular protection, but its effectiveness depends on numerous factors, such as age, sex, body composition, and nutrition, as well as training duration and intensity (Ouerghi et al., 2014). Recently, high-intensity interval training (HIIT) has attracted attention as a time-efficient exercise option to improve cardiovascular and metabolic health (Little and Francois, 2014). This method of training has led to a promising reduction of cardio-metabolic risk factors in adolescents, and thus became an interesting alternative approach to improve youth’s health (Logan et al., 2014). Most studies questioning the effect of HIIT programs on body composition remain however sometimes contradictory in youth. Indeed, while Keating et al. (2014) have reported that 12 weeks of HIIT has no meaningful effect on body fat (BF) levels in inactive overweight adults, Gillen et al. (2013) found improved body composition in response to a 6-week HIIT intervention in obese adults. According to previous studies, HIIT improves plasma lipids in overweight and obese adults (Alahmadi, 2014; Fisher et al., 2015; Koubaa et al., 2013), which remains unclear in adolescents and youth with obesity. Indeed, although Batacan et al. (2017) have demonstrated that long-term HIIT (≥12 weeks) significantly improved maximum oxygen uptake (VO_2max) and resting heart rate in overweight/obese populations, they missed to find any total cholesterol (TC), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, and triglycerides (TG) changes. Similarly, Heydari et al. (2012) reported that a 12-week HIIT program has no effect on insulin, glucose, homeostatic model assessment-insulin resistance, TC, LDL and HDL cholesterol, and TG in overweight young males. By cons, other studies have shown that 8-week HIIT positively changes blood lipids in young men (Musa et al., 2009; Ouerghi et al., 2017a; Ouerghi et al., 2017b). Collectively; these conflicting results clearly indicate the need for more researches questioning the effects of HIIT on body composition and metabolic health in youth with obesity.

Although there is a growing interest in the effects of HIIT in obese patients, most of the studies have been conducted among adults; to a lesser extent among adolescents, and evidence remain limited in young adults. As recently highlighted during the last European Congress of Obesity (ECO, Porto, Portugal, May 2017), there is a need for more research for the treatment of obesity among young adults, whose obesity history and dynamic is midway between what is seen in adolescents and in adults (Hutchesson et al., 2013; Steinbeck et al., 2017).

While weight gain in early adulthood increases the risk factors for developing a chronic disease (Hutchesson et al., 2013), the literature regarding the effect of physical activity intervention remains limited in this population. In 2008, Trapp et al. (2008) showed that 15 weeks of intermittent training (45 sessions of HIIT) without any food intake control, favored a significant weight loss in women in early adulthood (combining exercise with a low or high-energy dense diet). Song et al. (2010) found improved body weight and BF percentage after a 4-week intervention in slightly overweight young women. While evidences remain limited regarding the effect of HIIT in early adulthood, the present study aimed at assessing the effects of a 12-week HIIT on body composition and lipid profile in sedentary healthy overweight/obese young males.

MATERIALS AND METHODS

Measurements

Anthropometric measures and body composition

Weight and height were measured to the nearest 0.1 kg and 0.5 cm respectively using a TPRO 3100 Terraillon electronic balance (Terraillon SA, Survilliers, France) and a SECA 216 Wall Mounted Stadiometer (SECA SA, Semur-en-Auxois, France). BMI was calculated using the following formula: weight/height² (kg/m²). WC was measured with a nondeformable tape ruler between the last rib margin and the superior iliac crest. Skinfold thickness of each subjects was measured in triplicate by a Harperden’s skinfold calipers (Baty International, West Sussex, England) at four sites (biceps, triceps, subscapular, and supra iliac). Subsequently, and from the measurement of the skin-fold thickness, the percentage of BF was estimated according to the equation of Durnin and Womersley (1974).

Aerobic capacity

Incremental running test: Vameval test (Cazorla, 1990) was adopted to determine the MAV and to estimate the VO_2max. It was performed on a 400-m running track marked every 20 m. Each participant begins with a running speed of 8.5 km/hr, with consecutive speed increases of 0.5 km/hr every minute until exhaustion (Cazorla, 1990). Each participant has to adjust his running velocity, to reach the correspondent cone concomitantly with the sound track signal. The test ended when the subject could no longer maintain the required speed imposed by the beep, or when he was not able to reach the following cone in due time. During the Vameval test, heart rate was recorded using a heart rate monitor (S810, Polar, Kempele, Finland).

Training program

The intervention lasted 12 consecutive weeks with three sessions per week (36 sessions in total) according to Ouerghi et al. (2016), Ouerghi et al. (2017a), and Ouerghi et al. (2017b) (Table 1 details the intervention). Each training session started with a standard warm-up including 15 min of running at low intensity (at 50% of MAV), 3 repetitions of 30-sec acceleration followed by 30 sec of cool down running and 5 min of dynamic stretching.

Table 1

Training program

Short duration 30-30 HIIT program

All participants were instructed to alternate 30 sec of running at 100% of MAV and 30 sec of active recovery at 50% of MAV. Following the rules of progression when it comes to exercise interventions, the number of repetitions and the intensity were increased over time (Ouerghi et al., 2016; Ouerghi et al., 2017a; Ouerghi et al., 2017b), as described by the Table 1.

Although food intake and daily physical activity were not recorded, the participants were asked to maintain their usual diet and physical activity outside the sessions.

RESULTS

Sixteen young overweight/obese males (19.4±1.1 years) with a mean weight of 90.2 kg (±10.9) and mean BMI of 29.2 kg/m² (±2.3) participated in this study. There were no significant pretraining differences between CON and HIIT groups for body weight, BMI, WC and BF as well as for physical fitness and metabolic indicators (Table 2). Following the training program, the HIIT group showed significant improvement in Δweight (−3.9± 3.2, P>0.01), ΔBMI (−1.2±1, P<0.01), ΔBF (%) (−1.6±1.3, P<0.05) and ΔWC (−5±3.6, P<0.01) compared to CON group (Fig. 1).

Table 2

Physical, physiological and blood variables before and after 12 weeks in control (CON) and high-intensity interval training (HIIT) groups

Fig. 1

Delta variation differences between T0 and T1 for the control and HIIT for body fat % (A) and maximum oxygen uptake (VO_2max) (B). CON, control group; HIIT, intervention group.

No significant change was observed in MAV and VO_2max in both CON and HIIT group between T0 and T1 (without difference between groups) (Table 2). The results however revealed significant differences in ΔMAV and ΔVO_2max (P<0.01) between the HIIT (1.5±1.0 and 4.8±3.8, respectively) and CON (−0.3±0.5 and −1.1±1.9, respectively) groups.

Similarly lipid profile did not change between T0 and T1 in both groups (Table 2). However, when considering the deltas (Δ), ΔTC (2.7±19.1 vs. −24.9±25.5 for CON and HIIT respectively) and ΔTG (3.9±40.5 vs. −38.6±27.2 for CON and HIIT respectively) are both significantly different between groups (P<0.05).

Our results also show a positive relationship between ΔMAV, ΔVO_2max, and initial body weight. Initial BMI was negatively correlated to Δweight and ΔBMI. The initial BF (T0) was found negatively related to Δweight, ΔBMI, and ΔBF. Initial WC was additionally negatively related to Δweight and ΔBF (Table 3).

Table 3

Correlations between weight, BMI, %BF, and waist circumference at T0 and Δweight, ΔBMI, ΔBF, Δwaist circumference, ΔMAV, and Δ VO_2max in HIIT group

DISCUSSION

The purpose of the present study was to analyze the effect of 12 weeks of HIIT without caloric restriction on body composition and lipid profile in sedentary healthy overweight and obese youth. While most of the available literature concerns whether adults or children and adolescents, data are missing among young adults experiencing the physiological transition between childhoods to adulthood, during which interventions are of clinical importance (Hutchesson et al., 2013; Steinbeck et al., 2017).

According to our results, the proposed HIIT intervention favored clinically significant improvements of body composition, physical fitness, and blood lipid profile in overweight/obese youth. Although our initial group-based analysis (ANOVA) missed to show any difference between our HIIT and CON groups, all the parameters under study have been found significantly improved in the HIIT group compared with the CON one (using a delta approach).

Although the benefits of moderate intensity continuous physical activity on body composition are well documented (Irving et al., 2008; Green et al., 2004), results remain unclear for HIIT, especially among obese youth (Lambrick et al., 2016). Yet HIIT is today widely used as a time-efficient strategy for the management of body weight in overweight and obese patients (Wewege et al., 2017), further evidence are still needed to clarify its real impact on body composition (Alahmadi et al., 2014; Kong et al., 2016). Racil et al. (2013) have used a training program similar to ours (30–30) for 12 weeks (2 sets of 6×30 sec at 100%–110% [MAV]with a recovery interval of 30 sec at 50% MAV with 4 min of recovery between series), and found a significant reduction in body mass and WC (−3.58%) in obese adolescent females. Molina et al. (2016) showed that 12 sessions of HIIT associated with nutrition counseling are effective in reducing BF in overweight and obese subjects. However, others missed to observe any effect of HIIT interventions on body composition or body weight among sedentary obese adults (Astorino et al., 2013; Skleryk et al., 2013). A recent systematic review and meta-analysis conducted by Keating et al. (2017) concluded that neither short-term HIIT or sprint interval training favor any clinically meaningful reductions in BF in obese patients. According to our results a 12-week HIIT intervention favored a clinically and statistically significant improvement of several obesity indicators such as body weight, BMI, WC, and BF in our sample of overweight and obese youth. Interestingly our results also indicate that the observed beneficial effect of our HIIT program on obesity indicators might depend on the patient’s initial degree of obesity. Indeed, we found significantly positive correlations between the initial body weight, BMI, and WC (as an indicator for abdominal obesity) and their improved corpulence and BF by the end of the intervention. These observed beneficial effects can be explained by the fact that our sample was composed of highly sedentary and inactive participants. Indeed, as recently pointed out, HIIT might have a great effect on body composition and body weight among sedentary obese individuals compared with active ones (Astorino et al., 2017). Such beneficial results can also be explained by the recently described effects of intensive exercise and especially HIIT on appetite control and eating behaviors in similar populations (Alkahtani et al., 2014; Thivel et al., 2016). Indeed, Alkahtani et al. (2014) have recently showed that HIIT interventions favor decreased hunger and desire to eat in individuals with obesity. More interestingly, their results indicate a decreased food intake with a 16% reduced fat intake after their HIIT intervention while this fat intake increased by 38% following a moderate intensity intervention (Alkahtani et al., 2014). Further studies are need to better understand the exact effects of HIIT on both sides of the energy balance and optimize its role as a weight loss strategy. Not only physical activity interventions have to be designed to favor body weight and body composition improvements in obese patients, it also has to improve their physical fitness.

It is evidently that the factors that induce an improvement in exercise capacity following training are complicated and multiparametric. Indeed, exercise capacity is determined by physiological (cardiovascular, ionic, metabolic, neural, respiratory, etc.) and psychological (mood, motivation, perception of effort, etc.) parameters (Gibala, 2007). In our study we missed to find any significant improvement in MAV and VO_2max. Although these results join up with previously published ones (Burgomaster et al., 2005; Gibala et al., 2007; Smith-Ryan et al., 2015), they are in contradiction with the majority of the literature (Kong et al., 2016; Milanović et al., 2015; Ouerghi et al., 2017a; Ouerghi et al., 2017b; Weston et al., 2014) However this lack of modification in VO_2max does not mean that there is no improvement in exercise capacity. Indeed Gibala (2007) reported similar results to ours, with a VO_2max that does not change in response to HIIT program, noting however an improvement in exercise capacity (time to exhaustion at 80% of pretraining VO_2max [Burgomaster et al., 2005]). Moreover after ours intervention ΔVO_2max was significantly improved compared to ΔVO_2max in the CON (P<0.01), clearly pointing out a beneficial effect of the intervention.

Interestingly, our results show a significant and positive correlation between the participants’ initial body weight and the aerobic capacities improvements (MAV and VO_2max) in the HIIT group, suggesting that such an intervention may have greater effects on these variables depending on the patients’ initial obesity degree (as described below for body composition). Further studies are then needed to explore this potential implication of the degree of obesity in the success of HIIT programs. Finally, we also aimed at exploring the effects of our HIIT intervention on our participant’s metabolic profile.

There is a large controversy regarding the impact of HIIT on lipid profile. According to our results, the 12 weeks of HIIT led to an improvement in lipid profile in overweight and obese youth, although it was not statistically significant. The same results were also observed in the study by Sawyer et al. (2016), which reported that 8 weeks of HIIT (10×1 min, 90%–95% HRmax, 1-min active recovery) have no significant effects on TC, LDL-C, HDL-C, and TG in obese adults. In the same way Smith-Ryan et al. (2015) have shown that 8 weeks of HIIT were unable to demonstrate any positive effects on different parameters of lipid profile in overweight/obese adults (aged from 18 to 50 years). A systematic review and meta-analysis conducted by Batacan et al. (2017) concluded that long-term HIIT has no effect on lipid profile in overweight/obese populations. Contrary to our results, a study conducted by Ouerghi et al. (2017a) and Ouerghi et al. (2017b) have shown that 8 weeks of HIIT (2 sets of 8×30 sec runs at 100%–110% of MAV with a recovery interval of 30 sec runs at 50% of MAV) induced a significant decrease in TC, LDL-C, and TG on overweight/obese young men (BMI=30.8±4.6 kg/m²). Likewise, Fisher et al. (2015) reported that 6 weeks of HIIT are effective in improving TC and TG in sedentary overweight or obese youth (BMI=30±3.1 kg/m²). These discrepancies in the results might be associated with the diversity of training programs, measurement techniques used, gender (woman or man), age category (child, adolescent, adult, elderly) or the degree of obesity (moderate, severe, or morbid), among others. The present results highlight the ability of HIIT to elicit improvements in lipid profile; Indeed the comparison between the two groups showed significantly better TG and TC changes in our intervention group (compared with the control one) (P<0.05). Our results also show decreased levels of TC, LDL-C, and TG of approximately 12.4%, 12%, and 27%, respectively. These changes have profound clinical and health implications. Indeed, a reduction by 1% in plasma concentrations of LDL and TC leads to a decrease in coronary heart disease (CHD) by 2% (Pedersen et al., 1998). This suggests that our training program has succeeded in reducing the risk of CHD by about 24% in overweight/obese young adults.

The main limitations were the reduced study sample. This may underpowered the detection of significant changes in some variables. The VO_2max estimation using a field test ‘Vameval’ constitutes also another limit. Indeed, although this is a widely used field testing procedure, the use of a direct maximal aerobic testing using indirect calorimetry would have been more précised (yet less accessible for most of the practitioners). In addition, as suggested below, it would have been interesting to assess our participants’ energy intake at regular intervals during the intervention and by the end of the program to evaluate any potential compensatory responses.

To conclude, this pilot study indicates that a 12-week HIIT intervention can induce clinically significant improvements in body composition, physical fitness and blood lipid profile in young obese. While our results also suggest that the initial degree of obesity might affect the efficacy of such interventions, further studies are needed in this field to improve our weight loss strategies.

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