High intensity, circuit-type integrated neuromuscular training alters energy balance and reduces body mass and fat in obese women: A 10-month training-detraining randomized controlled trial

Alexios Batrakoulis, Athanasios Z Jamurtas, Kalliopi Georgakouli, Dimitrios Draganidis, Chariklia K Deli, Konstantinos Papanikolaou, Alexandra Avloniti, Athanasios Chatzinikolaou, Diamanda Leontsini, Panagiotis Tsimeas, Nikolaos Comoutos, Vassilios Bouglas, Maria Michalopoulou, Ioannis G Fatouros, Alexios Batrakoulis, Athanasios Z Jamurtas, Kalliopi Georgakouli, Dimitrios Draganidis, Chariklia K Deli, Konstantinos Papanikolaou, Alexandra Avloniti, Athanasios Chatzinikolaou, Diamanda Leontsini, Panagiotis Tsimeas, Nikolaos Comoutos, Vassilios Bouglas, Maria Michalopoulou, Ioannis G Fatouros

Abstract

This randomized controlled trial examined body mass, body composition, energy balance and performance responses of previously sedentary overweight/obese women to a circuit-type integrated neuromuscular training program with alternative modalities. Forty-nine healthy overweight or class I obese females (36.4±4.4 yrs) were randomly assigned to either a control (N = 21), training (N = 14) or training-detraining (N = 14) group. In weeks 1-20, the training groups trained three times/week using 10-12 whole-body exercises of progressively increased intensity/volume, organized in timed interval circuit form. In weeks 21-40, the training group continued training whereas the training-detraining group not. Heart rate, perceived exertion, blood lactate, exertion, oxygen consumption and excess post-exercise oxygen consumption were measured for one session/phase/person and exercise energy expenditure was calculated. Energy intake, habitual physical activity, resting metabolic rate, body composition, body mass, strength and maximal oxygen consumption were measured at baseline, mid-intervention and post-intervention. A two-way repeated measures ANOVA was used to determine differences between three time points and three groups. In C, VO2max declined (p<0.013) and body fat (p<0.008), waist (p<0.059) and hip (p<0.012) circumferences increased after 40 weeks compared to baseline. Training reduced body mass (6%, p<0.001), body fat (~5.5%, p<0.001) and increased fat-free mass (1.2-3.4%, p<0.05), strength (27.2%, p<0.001) and endurance (26.8%, p<0.001) after a 10-month implementation period using a metabolic overload of only 5-12 metabolic equivalents of task-hours per week. Training induced a long-term negative energy balance during an exercise and a non-exercise day due to an elevation of resting metabolic rate (6%-10%, p<0.05) and exercise-related energy expenditure. Training had an 8% and 94% attrition and attendance rates, respectively. Training-induced gains were attenuated but not lost following a 5-month detraining. A 10-month implementation of a high-intensity interval type training program elicited both endurance and musculoskeletal gains and resulted in a long-term negative energy balance that induced a progressive and sustained reduction of body and fat mass.

Trial registration: ClinicalTrials.gov NCT03134781.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. CONSORT diagram of the study.
Fig 1. CONSORT diagram of the study.
Fig 2. Experimental flowchart.
Fig 2. Experimental flowchart.
C, control group; TR, training group (40 weeks); TRD, training (20 weeks)—detraining (20 weeks) group; CINT, circuit integrated neuromuscular training; RMR, resting metabolic rate; 1for all groups (4-week adaptation period); 2only for TR and TRD; 3for all groups; 4acute metabolic measurements for TR and TRD (1 session per participant in each training phase: perceived exertion and heart rate measurement during the exercise session, oxygen consumption and blood lactate concentration before, during and after a session and excess post-exercise oxygen consumption after a session).
Fig 3. VO 2max changes during the…
Fig 3. VO2max changes during the experimental period.
VO2max, maximal oxygen intake; *significant difference with baseline (p<0.05); ‡significant difference with the control group (p<0.05); #significant difference with previous time point (p<0.05); †significant difference between training and training-detraining groups (p<0.05).
Fig 4. 1RM changes during the experimental…
Fig 4. 1RM changes during the experimental period.
1RM, one repetition maximum; *significant difference with baseline (p

Fig 5. Changes in daily energy balance…

Fig 5. Changes in daily energy balance in the control and experimental groups at pre-…

Fig 5. Changes in daily energy balance in the control and experimental groups at pre- and mid-training.
RMR, resting metabolic rate; 1mean values for all groups; 2mean values for training and training-detraining groups.

Fig 6. Changes in daily energy balance…

Fig 6. Changes in daily energy balance in the experimental groups at post-training and detraining.

Fig 6. Changes in daily energy balance in the experimental groups at post-training and detraining.
RMR, resting metabolic rate.
Fig 5. Changes in daily energy balance…
Fig 5. Changes in daily energy balance in the control and experimental groups at pre- and mid-training.
RMR, resting metabolic rate; 1mean values for all groups; 2mean values for training and training-detraining groups.
Fig 6. Changes in daily energy balance…
Fig 6. Changes in daily energy balance in the experimental groups at post-training and detraining.
RMR, resting metabolic rate.

References

    1. Seidell JC, Halberstadt J. The global burden of obesity and the challenges of prevention. Ann Nutr Metab. 2015;66(Suppl 2):S7–S12.
    1. Dee A, Kearns K, O'Neill C, Sharp L, Staines A, O’Dwyer V, et al. The direct and indirect costs of both overweight and obesity: a systematic review. BMC Res Notes 2014;7:242 10.1186/1756-0500-7-242
    1. Dhurandhar EJ, Kaiser KA, Dawson JA, Alcorn AS, Keating KD, Allison DB. Predicting adult weight change in the real world: a systematic review and meta-analysis accounting for compensatory changes in energy intake or expenditure. Int J Obes (Lond) 2015;39(8):1181–1187.
    1. Riou MÈ, Jomphe-Tremblay S, Lamothe G, Stacey D, Szczotka A, Doucet É. Predictors of energy compensation during exercise interventions: a systematic review. Nutrients 2015;7(5):3677–3704. 10.3390/nu7053677
    1. Wadden TA, Butryn ML, Wilson C. Lifestyle modification for the management of obesity. Gastroenterology 2007;132(6):2226–2238 10.1053/j.gastro.2007.03.051
    1. American Heart Association. AHA/ACC/TOS guideline for the management of overweight and obesity in adults. Circulation 2014;129(Suppl 2):S102–S138.
    1. World Health Organization. Global status report on noncommunicable diseases 2014 WHO; 2015. Available from .
    1. Lucke J, Waters B, Hockey R, Spallek M, Gibson R, Byles J, et al. Trends in women's risk factors and chronic conditions: Findings from the Australian Longitudinal Study on Women's Health. Women's Health 2007;3:423–432. 10.2217/17455057.3.4.423
    1. Cleland VJ, Schmidt MD, Salmon J, Dwyer TM, Venn A. Correlates of pedometer-measured and self-reported physical activity among young Australian adults. J Sci Med Sport. 2011;14:496–503. 10.1016/j.jsams.2011.04.006
    1. Emaus A, Veierod MB, Furberg AS, Espetvedt S, Friedenreich C, Ellisonet P, et al. Physical activity, heart rate, metabolic profile, and estradiol in premenopausal women. Med Sci Sports Exerc. 2008;40:1022–1030. 10.1249/MSS.0b013e318167411f
    1. Vanhees L, Geladas N, Hansen D, Kouidi E, Niebauer J, Reiner Z, et al. Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors: recommendations from the EACPR (Part II). Eur J Prev Cardiol. 2012;19(5):1005–1033. 10.1177/1741826711430926
    1. Wasfy MM, Baggish AL. Exercise dose in clinical practice. Circulation 2016;133:2297–2313. 10.1161/CIRCULATIONAHA.116.018093
    1. Slentz CA, Aiken LB, Houmard JA, Bales CW, Johnson JL, Tanner CJ, et al. Inactivity, exercise, and visceral fat: STRRIDE: a randomized, controlled study of exercise intensity and amount. J Appl Physiol. 2005;99:1613–1618. 10.1152/japplphysiol.00124.2005
    1. American College of Sports Medicine. ACSM's Guidelines for Exercise Testing and Prescription 10th ed Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2017.
    1. Sperlich B, Wallmann-Sperlich B, Zinner C, Von Stauffenberg V, Losert H, Holmberg HC. Functional high-intensity circuit training improves body composition, peak oxygen uptake, strength, and alters certain dimensions of quality of life in overweight women. Front Physiol. 2017;8:article 172.
    1. Myer G, Ford K, Palumbo J, Hewett T. Neuromuscular training improvesperformance and lower-extremity biomechanics in females athletes. J. Strength Cond. Res. 2005;19:51–60. 10.1519/13643.1
    1. Burgess E, Hassmén P, Welvaert M, Pumpa KL. Behavioural treatment strategies improve adherence to lifestyle intervention programmes in adults with obesity: a systematic review and meta-analysis. Clinical Obesity 2017;7(2):105–114. 10.1111/cob.12180
    1. Batacan RB Jr, Duncan MJ, Dalbo VJ, Tucker PS, Fenning AS. Effects of high-intensity interval training on cardiometabolic health: a systematic review and meta-analysis of intervention studies. Br J Sports Med. 2017;51:494–503. 10.1136/bjsports-2015-095841
    1. Klika B, Jordan C. High-intensity circuit training using body weight: maximum results with minimal investment. ACSMs Health Fit J. 2013;17(3):8–13.
    1. Myers TR, Schneider MG, Schmale MS, Hazell TJ. Whole-body aerobic resistance training circuit improves aerobic fitness and muscle strength in sedentary young females. J Strength Cond Res. 2015;29(6):1592–1600. 10.1519/JSC.0000000000000790
    1. Foster C, Farland CV, Guidotti F, Harbin M, Roberts B, Schuette J, et al. The effects of high intensity interval training vs steady state training on aerobic and anaerobic capacity. J Sports Sci Med. 2015;14:747–755.
    1. Lunt H, Draper N, Marshall HC, Logan FJ, Hamlin MJ, Shearman JP, et al. High intensity interval training in a real world setting: a randomized controlled feasibility study in overweight inactive adults, measuring change in maximal oxygen uptake. PLoS One. 2014;9(1):e83256 10.1371/journal.pone.0083256
    1. Hazell TJ, Hamilton CD, Olver TD, Lemon PW. Running sprint interval training induces fat loss in women. Appl Physiol Nutr Metab, 2014;39(8): 944–950. 10.1139/apnm-2013-0503
    1. Kelly B, King JA, Goerlach J, Nimmo MA. The impact of high-intensity intermittent exercise on resting metabolic rate in healthy males. Eur J Appl Physiol. 2013;113(12): 3039–3047. 10.1007/s00421-013-2741-5
    1. Schjerve IE, Tyldum GA, Tjønna AE, Stølen T, Loennechen JP, Hansen HE, et al. Both aerobic endurance and strength training programmes improve cardiovascular health in obese adults. Clin Sci. 2008;115(9):283–293. 10.1042/CS20070332
    1. Miller MB, Pearcey GE, Cahill F, McCarthy H, Stratton SB, Noftall JC, et al. The effect of a short-term high-intensity circuit training program on work capacity, body composition, and blood profiles in sedentary obese men: a pilot study. Biomed Res Int. 2014;2014:191797 10.1155/2014/191797
    1. Haff GG, Beminger D, Caulfield S. Exercise Technique for Alternative Modes and Nontraditional Implement Training In: Haff GG, Triplett N, editors. Essentials of Strength Training and Conditioning. 4th ed Champaign: Human Kinetics; 2016. pp. 417–421.
    1. Stanforth D, Brumitt J, Ratamess N, Atkins W, Keteyian S. Training toys … bells, ropes, and balls–Oh my! ACSMs Health Fit J. 2015;19(4):5–11.
    1. Rothney MP, Brychta RJ, Schaefer EV, Chen KY, Skarulis MC. Body composition measured by dual-energy X-ray absorptiometry half-body scans in obese adults. Obesity (Silver Spring) 2009;17(6):1281–1286.
    1. Balke J, Ware RW. An experimental study of “physical fitness” of Air Force personnel. US Armed Forces Med J. 1959;10(6):675–688.
    1. Edvardsen E, Hem E, Anderssen SA. End criteria for reaching maximal oxygen uptake must be strict and adjusted to sex and age: a cross-sectional study. PLoS One 2014;9(1):e85276 10.1371/journal.pone.0085276
    1. Fatouros IG, Tournis S, Leontsini D, Jamurtas AZ, Sxina M, Thomakos P, et al. Leptin and adiponectin responses in overweight inactive elderly following resistance training and detraining are intensity-related. J Clin Endocrinol Metab. 2005;90(11):5970–5977. 10.1210/jc.2005-0261
    1. Weir JB. New methods for calculating metabolic rate with special reference to protein. J Physiol. 1949;109:1–9.
    1. di Prampero PE, Ferretti G. The energetics of anaerobic muscle metabolism: A reappraisal of older and more recent concepts. Respir Physiol. 1999;118:103–115.
    1. Baldari C, Bonavolontà V, Emerenziani GP, Gallotta MC, Silva AJ, Guidetti L. Accuracy, reliability, linearity of Accutrend and Lactate Pro versus EBIO plus analyzer. Eur J Appl Physiol. 2009;107(1):105–111. 10.1007/s00421-009-1107-5
    1. Watson KB, Carlson S, Carroll DD, Fulton J. Comparison of accelerometer cut points to estimate physical activity in U.S. adults. J Sports Sci. 2014;32(7):660–669. 10.1080/02640414.2013.847278
    1. Gorman E, Hanson HM, Yang PH, Khan KM, Liu-Ambrose T, Ashe MC. Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. Eur Rev Aging Phys Act. 2014;11:35–49. 10.1007/s11556-013-0132-x
    1. Choi L, Ward SC, Schnelle JF, Buchowski MS. Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Med Sci Sports Exerc. 2012;44(10):2009–2016. 10.1249/MSS.0b013e318258cb36
    1. Keadle SK, Shiroma EJ, Freedson PS, Lee IM. Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study. BMC Public Health 2014. November 24;14:1210 10.1186/1471-2458-14-1210
    1. Shaw KA, Gennat HC, O’Rourke P, Del Mar C. Exercise for overweight or obesity. The Cochrane Library 2009;1:1–108.
    1. Álvarez C, Ramírez-Campillo R, Ramírez-Vélez R, Izquierdo M. Effects and prevalence of nonresponders after 12 weeks of high-intensity interval or resistance training in women with insulin resistance: a randomized trial. J Appl Physiol. 2017;122(4):985–996. 10.1152/japplphysiol.01037.2016
    1. Strasser B, Arvandi M, Siebert U. Resistance training, visceral obesity and inflammatory response: a review of the evidence. Obes Rev. 2012;13:578–591. 10.1111/j.1467-789X.2012.00988.x
    1. Higgins S, Fedewa MV, Hathaway ED, Schmidt MD, Evans EM. Sprint interval and moderate-intensity cycling training differentially affect adiposity and aerobic capacity in overweight young-adult women. Appl Physiol Nutr Metab. 2016;41(11):1177–1183. 10.1139/apnm-2016-0240
    1. Ohkawara K, Tanaka S, Miyachi M, Ishikawa-Takata K, Tabata I. A dose-response relation between aerobic exercise and visceral fat reduction: systematic review of clinical trials. Int J Obes (Lond) 2007;31:1786–1797.
    1. Ades PA, Savage PD, Toth MJ, Harvey-Berino J, Schneider DJ, Bunn JY, et al. High-calorie-expenditure exercise a new approach to cardiac rehabilitation for overweight coronary patients. Circulation 2009;119:2671–2678. 10.1161/CIRCULATIONAHA.108.834184
    1. Thomas DM, Bouchard C, Church T, Slentz C, Kraus WE, Redman LM, et al. Why do individuals not lose more weight from an exercise intervention at a defined dose? An energy balance analysis. Obes Rev. 2012;13(10):835–847. 10.1111/j.1467-789X.2012.01012.x
    1. Manore MM, Brown K, Houtkooper L, Jakicic J, Peters JC, Smith Edge M, et al. Energy balance at a crossroads: translating the science into action. Med Sci Sports Exerc. 2014;46(7):1466–1473. 10.1249/MSS.0000000000000318
    1. Chatzinikolaou A, Fatouros I, Petridou A, Jamurtas A, Avloniti A, Douroudos I, et al. Adipose tissue lipolysis is upregulated in lean and obese men during acute resistance exercise. Diabetes Care 2008;31:1397–1399. 10.2337/dc08-0072
    1. Clark JE, Goon DT. The role of resistance training for treatment of obesity related health issues and for changing health status of the individual who is overfat or obese: a review. J Sports Med Phys Fitness. 2015. March;55(3):205–222.
    1. Fatouros IG. Is irisin the new player in exercise energy metabolism or not? A 2017 update. Clinical Chemistry and Laboratory Medicine. 2018. March 28;56(4):525–548. 10.1515/cclm-2017-0674
    1. Warren A, Howden EJ, Williams AD, Fell JW, Johnson NA. Postexercise fat oxidation: effect of exercise duration, intensity, and modality. Int J Sport Nutr Exerc Metab. 2009;19:607–623.
    1. Fatouros IG, Chatzinikolaou A, Tournis S, Jamurtas AZ, Douroudos II, Nikolaidis MG, et al. The intensity of resistance exercise determines adipokine and resting energy expenditure responses in overweight elderly. Diabetes Care. 2009;32:2161–2167. 10.2337/dc08-1994
    1. Hazell TJ, Olver TD, Hamilton CD, Lemon P WR. Two minutes of sprint-interval exercise elicits 24-hr oxygen consumption similar to that of 30 min of continuous endurance exercise. Int J Sport Nutr Exerc Metab. 2012. August;22(4):276–283.
    1. Irwin ML, Yasui Y, Ulrich CM, Bowen D, Rudolph RE, Schwartz RS, et al. Effect of exercise on total and intra-abdominal body fat in postmenopausal women: a randomized controlled trial. JAMA 2003;289:323–330.
    1. Miller BML, Brennan L. Measuring and reporting attrition from obesity treatment programs: a call to action! Obes Res Clin Pract. 2015;9:187–202. 10.1016/j.orcp.2014.08.007
    1. Bae JY, Woo J, Roh HT, Lee YH, Ko K, Kang S, et al. The effects of detraining and training on adipose tissue lipid droplet in obese mice after chronic high-fat diet. Lipids Health Dis. 2017;16:13 10.1186/s12944-016-0398-x
    1. Ballor DL, McCarthy JP, Wilterdink EJ. Exercise intensity does not affect the composition of diet- and exercise-induced body mass loss. Am J Clin Nutr. 1990;51(2):142–146. 10.1093/ajcn/51.2.142
    1. Thompson W. Worldwide survey reveals fitness trends for 2018. ACSMs Health Fit J. 2017;21(6):10–19.
    1. McTiernan A, Sorensen B, Irwin ML, Morgan A, Yasui Y, Rudolph RE, et al. Exercise effect on weight and body fat in men and women. Obesity. 2007. June;15(6):1496–1512. 10.1038/oby.2007.178
    1. Wing RR. Behavioral weight control In: Wadden TA, Stunkard AJ, editors. Handbook of Obesity Treatment. New York: The Guildford Press; 2002. pp. 301–316.
    1. Wing RR, Hill JO. Successful weight loss maintenance. Annu Rev Nutr. 2001;21:323–341. 10.1146/annurev.nutr.21.1.323
    1. Delshad M, Ghanbarian A, Mehrabi Y, Sarvghadi F, Ebrahim K. Effect of Strength Training and Short-term Detraining on Muscle Mass in Women Aged Over 50 Years Old. Int J Prev Med. 2013. December;4(12):1386–1394.
    1. Nikseresht M, Hafezi Ahmadi MR, Hedayatic M. Detraining-induced alterations in adipokines and cardiometabolic risk factors after nonlinear periodized resistance and aerobic interval training in obese men. Applied Physiology, Nutrition, and Metabolism. 2016;41(10):1018–1025. 10.1139/apnm-2015-0693
    1. Nikseresht M, Hafezi Ahmadi MR, Hedayati M. Detraining-induced alterations in adipokines and cardiometabolic risk factors after nonlinear periodized resistance and aerobic interval training in obese men. Appl Physiol Nutr Metab. 2016. October;41(10):1018–1025. 10.1139/apnm-2015-0693

Source: PubMed

Подписаться