Effects of an Individualized and Time Based Training Program on Physical Fitness and Mood States in Recreational Endurance Runners
American Journal of Sports Science
Volume 2, Issue 5, September 2014, Pages: 131-137
Received: Sep. 19, 2014;
Accepted: Oct. 5, 2014;
Published: Oct. 20, 2014
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Kuno Hottenrott, Department of Sport Science, Martin-Luther-University Halle-Wittenberg, Halle, Germany; Institute of Performance Diagnostics and Health Promotion, Martin-Luther-University Halle-Wittenberg, Halle, Germany
Sebastian Ludyga, Institute of Performance Diagnostics and Health Promotion, Martin-Luther-University Halle-Wittenberg, Halle, Germany
Thomas Gronwald, Department of Sport Science, Martin-Luther-University Halle-Wittenberg, Halle, Germany; Institute of Performance Diagnostics and Health Promotion, Martin-Luther-University Halle-Wittenberg, Halle, Germany
Stephan Schulze, Institute of Performance Diagnostics and Health Promotion, Martin-Luther-University Halle-Wittenberg, Halle, Germany
Previous studies have shown that training guided individually by heart rate variability (HRV) elicits benefits on endurance performance. Meanwhile complex programs, which use HRV assessments to tailor exercise prescriptions to individual needs, are included in portable training computers. However, knowledge on health and fitness benefits of such training programs is still limited. Therefore, the aim of the present study was to investigate effects of HRV-based training included in a portable training computer vs general time-based training on aerobic fitness, half-marathon time as well as mood and mental states. Male (n=10) and female endurance runners (n=10) were recruited and randomly assigned to HRV-based (STAR) and predefined time-based training (TBT). At baseline and after 16 weeks of training an incremental exercise test with spirometry was performed to assess aerobic power. Additionally, mood and mental states were asked. After the training period all subjects took part in a half-marathon. Matched-pairs were selected to compare groups based on similar relative weekly energy expenditure during training. With no differences between groups, STAR and TBT reduced weight (p=0.029), body fat (p=0.002) as well as systolic and diastolic blood pressure (p≤0.001). Maximal oxygen uptake significantly increased from 43.0 ± 8.3 to 46.1 ± 9.0 ml.min-1.kg-1 (p≤0.001) and 43.2 ± 4.8 to 46.7 ± 4.7 ml.min-1.kg-1 (p≤0.001) in STAR and TBT, respectively. Moreover, both groups improved maximal velocity (TBT: 0.81 + 0.40 km.h-1 vs STAR: 0.74 + 0.39 km.h-1; p≤0.001) and completed the half-marathon with similar finish times (01:54:35 ± 00:14:02 [hh:mm:ss] vs. 01:52:42 ± 00:13:45 [hh:mm:ss]; p=0.789). Regarding mood and mental states, no major changes were observed over the training period. In conclusion, both HRV- and time-based training elicited similar improvements in aerobic power and body composition. Consequently, HRV-dependent exercise prescriptions serve as a practical tool for day-to-day periodization of aerobic exercise.
Effects of an Individualized and Time Based Training Program on Physical Fitness and Mood States in Recreational Endurance Runners, American Journal of Sports Science.
Vol. 2, No. 5,
2014, pp. 131-137.
Bigaard, J., Frederiksen, K., Tjonneland, A., Thomsen, B.L., Overvad, K., Heitmann, B.L. & Sorensen, T.I.A. (2004). Body fat and fat-free mass and all-cause mortality. Obesity Res, 12 (7), 1042-1049.
Psaty, B.M., Furberg, C.D., Kuller, L.H., Cushman, M., Savage, P.J., Levine, D., O’Leary, D.H., Bryan, R.N., Anderson, M. & Lumley, T. (2001). Association between blood pressure level and the risk of myocardial infarction, stroke, and total mortality. The cardiovascular health study. Arch Intern Med, 161 (9), 1183-1192.
Hautala, A.J., Kiviniemi, A.M. & Tulppo, M.P. (2009). Individual responses to aerobic exercise: the role of the autonomic nervous system. Neurosci Biobehav Rev, 33 (2), 107-115.
Vollaard, N.B., Constantin-Teodosiu, D., Fredriksson, K., Rooyackers, O., Jansson, E., Greenhaff, P.L., Timmons, J.A. & Sundberg, C.J. (2009). Systematic analysis of adaptations in aerobic capacity and submaximal energy metabolism provides a unique insight into determinants of human aerobic performance. J Appl Physiol,106 (5), 1479-86.
Buchheit, M., Chivot, A., Parouty, J., Mercier, D., Al Haddad, H., Laursen, P.B. & Ahmaidi, S. (2010). Monitoring endurance running performance using cardiac parasympathetic function. Eur J Appl Physiol, 108 (6),1153-67.
Bouchard, C. & Rankinen, T. (2001). Individual differences in response to regular physical activity. Med Sci Sports Exerc, 33, 446–S451.
Hautala, A.J., Mäkikallio, T.H., Kiviniemi, A., Laukkanen, R.T., Nissilä, S., Huikuri, H.V. & Tulppo, M.P. (2003). Cardiovascular autonomic function correlates with the response to aerobic training in healthy sedentary subjects. Am J Physiol Heart Circ Physiol, 285 (4), H1747-1752.
Hautala, A.J., Kiviniemi, A.M., Makikallio, T.H., Kinnunen, H., Nissila, S., Huikuri, H.V. & Tulppo, M.P. (2006). Individual differences in the responses to endurance and resistance training. Eur J Appl Physiol, 96, 535-542.
Friden, J., Lieber, R.I., Hargreaves, M. & Urhausen, A. (2003). Recovery after training-Inflammation, Metabolism, Tissue Repair and Overtraining, Sports Medicine. Malden: Blackwell Science, pp. 189-200.
Kiviniemi, A.M., Hautala, A.J., Kinnunen, H. & Tulppo, M.P. (2007). Endurance training guided individually by daily heart rate variability measurements. Eur J Appl Physiol, 101 (6), 743-751.
Kiviniemi, A. M., Hautala, A. J., Kinnunen, H., Nissila, J., Virtanen, P., Karjalainen, J. & Tulppo, M. P. (2010). Daily exercise prescription on the basis of HR variability among men and women. Med Sci Sports Exerc, 42 (7), 1355-1363.
Vesterinen, V., Häkkinen, K., Hynynen, E., Mikkola, J., Hokka, L. & Nummela, A. (2013). Heart rate variability in prediction of individual adaptation to endurance training in recreational endurance runners. Scand J Med Sci Sports, 23 (2), 171-180.
Gamelin, F.X., Berthoin, S. & Bosquet, L. (2006). Validity of the polar S810 heart rate monitor to measure R-R intervals at rest. Med Sci Sports Exerc, 38(5), 887-893.
Ring-Dimitriou, S., von Duvillard, S.P., Stadlmann, M., Kinnunen, H., Drachta, O., Müller, E., Laukkanen, R., Hamra, J., Weeks, S. & Peak, K. (2008). Changes in physical fitness in moderately fit adults with and without the use of exercise telemetry monitors. Eur J Appl Physiol, 102, 505-513.
Hottenrott, K., Ludyga, S. & Schulze, S. (2013) Evaluierung von unterschiedlichen Trainingsmodellen bei berufstätigen Freizeitläufern. Sportwiss, 43 (3), 157-165.
Abele, A. & Brehm, W. (1986). Zur Konzeptualisierung und Messung von Befindlichkeit. Die Entwicklung der Befindlichkeitsskalen (BFS). Diagnostica, 32, 209-228.
Dickhuth, H.-H., Huonker, M., Münzel, T., Drexler, H., Berg, A. & Keul, J. (1991). Individual anaerobic threshold for evaluation of competitive athletes and patients with left ventricular dysfunction. In N. Bachl, T.E. Graham & H. Löllgen (Hrsg.), Advances in ergometry (pp. 173-179). Berlin, Heidelberg: Springer Verlag.
Galloway, J. (2006). Half-marathon: You Can Do It. Meyer & Meyer Sport, Oxford, 64.
Gormley, S.E., Swain, D.P., High, R., Spina, R.J., Dowling, E.A., Kotipalli, U.S. & Gandrakota, R. (2008). Effect of Intensity of Aerobic Training on VO2max. Med Sci Sports Exerc, 40, 1336-1343.
Midgley, A.W., McNaughton, L.R., Wilkinson, M. (2012). Is there an Optimal Training Intensity for Enhancing the Maximal Oxygen Uptake of Distance Runners? Sports Medicine, 36, 117-132.
Yeo, W.K., Carey, A.L., Burke, L., Spriet, L.L. & Hawley, J.A. (2011). Fat adaptation in well-trained athletes: effects on cell metabolism. Appl Physiol, Nutr Metabol, 36 , 12-22.
Fabre, C., Massé-Biron, J., Ahmaidi, S., Adam, B. & Préfaut, C. (1997). Effectiveness of individualized aerobic training at the ventilatory threshold in the elderly. J Gerontol A Biol Sci Med Sci, 52 (5), 260-266.
Lafortuna, C.L., Resnik, M., Galvani, C. & Sartorio, A. (2003). Effects of non-specific vs individualized exercise training protocols on aerobic, anaerobic and strength performance in severely obese subjects during a short-term body mass reduction program. J Endocrinol Invest, 26 (3),197-205.
Mourot, L., Bouhaddi, M., Perrey, S., Cappelle, S., Henriet, M.T., Wolf, J.P., Rouillon, J.D. & Regnard J. (2004). Decrease in heart rate variability with overtraining: assessment by the Poincaré plot analysis. Clin Physiol Funct Imaging, 24 (1), 10-18.
Rietjens, G.J.W.M., Kuipers, H., Adam, J.J., Saris, W.H.M., van Breda, E., van Hamont, D. & Keizer, H.A. (2005). Physiological, biochemical and psychological markers of strenuous training-induced fatigue. Int J Sports Med, 26 (1), 16-26.
Grant, C.C., Janse Van Rensburg, D.C., Collins, R., Wood, P.S. & Du Toit, P.J. (2012). Investigation of the Profile of Mood State (POMS) questionnaire as an indicator of Overtraining Syndrome (OTS) in a group of endurance athletes. AJPHERD, 23-32.
Pierce, E.F. (2002). Relationship between training volume and mood states in competitive swimmers during a 24-week season. Percept Mot Skills, 94 (3), 1009-1012.
Peluso, M.A.M. & de Andrade, L.H.S.G. (2005). Physical activity and mental health: The association between exercise and mood. Clinics, 60 (1), 61-70.
Lane, A.M. & Lovejoy, D.J. (2001). The effects of exercise on mood changes: the moderating effect of depressed mood. J Sports Med Phys Fitness, 41 (4), 539-545.
Williams, D.M., Dunsiger, S., Ciccolo, J.T., Lewis, B.A., Albrecht, A.E. & Marcus, B.H. (2008). Acute Affective Response to a Moderate-intensity Exercise Stimulus Predicts Physical Activity Participation 6 and 12 Months Later. Psychol Sport Exerc, 9 (3), 231-245.
Maiorana, A., O'Driscoll, G. & Taylor, R. (2003). Exercise and the nitric oxide vasodilator system. Sports Med, 33, 1013-1035.
Warburton, D.E., Gledhill, N. & Quinney, A. (2001). The effects of changes in musculoskeletal fitness on health. Can J Appl Physiol, 26, 161-216.
Meisinger, C., Döring, A., Thorand, B., Heier, M. & Löwel, H. (2006). Body fat distribution and risk of type 2 diabetes in the general population: are there differences between men and women? The MONICA/KORA Augsburg Cohort Study. Am J Clin Nutr, 84 (3), 483-489.