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DOI: 10.1055/s-0035-1555779
Monitoring Perceived Stress and Recovery in Relation to Cycling Performance in Female Athletes
Publikationsverlauf
accepted after revision 26. Mai 2015
Publikationsdatum:
28. Oktober 2015 (online)
![](https://www.thieme-connect.de/media/sportsmed/201601/lookinside/thumbnails/4710_10-1055-s-0035-1555779-1.jpg)
Abstract
The purpose was to investigate perceived stress and recovery related to cycling performance of female athletes over one full year. 20 female athletes (age, 27±8 years; ˙VO2max, 50.3±4.6 mL·kg−1·min−1) were measured 8 times in one year to determine perceived stress and recovery (RESTQ-Sport) in relation to cycling performance (Lamberts and Lambert Submaximal Cycle Test (LSCT)). All 19 RESTQ-Sport scales were calculated and scores of the 4 main categories were determined (i. e., general stress, general recovery, sport-specific stress and sport-specific recovery). A balance score of total stress and recovery was calculated by recovery-stress. Power at the second stage (P80), third stage (P90) and heart rate recovery (HRR60 s) of the LSCT were determined as performance parameters. 110 RESTQ-Sports and LSCTs were analysed using a multilevel approach (random intercepts model). Higher self-efficacy was related to improvement of all performance parameters. Higher total recovery stress, and lower emotional stress were related to improvement of P90 and HRR60 s. Higher sport-specific recovery was related to P80, higher general stress, fatigue and physical complaints were related to decreased P90 and higher social stress and injury were related to decreased HRR60 s. Improved perceived recovery and stress contributed to an improved performance. Relevant information could be provided by monitoring changes in perceived stress and recovery of female athletes.
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References
- 1 Beedie CJ, Terry PC, Lane AM. The profile of mood states and athletic performance: Two meta-analyses. J Appl Sport Psychol 2000; 12: 49-68
- 2 Bille K, Figueiras D, Schamasch P, Kappenberger L, Brenner JI, Meijboom FJ, Meijboom EJ. Sudden cardiac death in athletes: the Lausanne Recommendations. Eur J Cardiovasc Prev Rehabil 2006; 13: 859-875
- 3 Borresen J, Lambert MI. Changes in heart rate recovery in response to acute changes in training load. Eur J Appl Physiol 2007; 101: 503-511
- 4 Coakley J. Burnout among adolescent athletes: A personal failure or social problem. Sociol Sport J 1992; 9: 271-285
- 5 Coutts AJ, Wallace LK, Slattery KM. Monitoring changes in performance, physiology, biochemistry, and psychology during overreaching and recovery in triathletes. Int J Sports Med 2007; 28: 125-134
- 6 Daanen HA, Lamberts RP, Kallen VL, Jin A, Van Meeteren NL. A systematic review on heart-rate recovery to monitor changes in training status in athletes. Int J Sports Physiol Perform 2012; 7: 251-260
- 7 Esteve-Lanao J, San Juan AF, Earnest CP, Foster C, Lucia A. How do endurance runners actually train? Relationship with competition performance. Med Sci Sports Exerc 2005; 37: 496-504
- 8 Ganzel BL, Morris PA, Wethington E. Allostasis and the human brain: Integrating models of stress from the social and life sciences. Psychol Rev 2010; 117: 134-174
- 9 Harriss DJ, Atkinson G. Ethical standards in sport and exercise science research: 2014 update. Int J Sports Med 2013; 34: 1025-1028
- 10 Kellmann M. Preventing overtraining in athletes in high-intensity sports and stress/recovery monitoring. Scand J Med Sci Sports 2010; 20 (Suppl. 02) 95-102
- 11 Kellmann M, Altenburg D, Lormes W, Steinacker J. Assessing stress and recovery during preparation for the world championships in rowing. Sport Psychol 2001; 15: 151-167
- 12 Kellmann M, Kallus KW. Recovery-stress questionnaire for athletes: User manual. Champaign, IL: Human Kinetics; 2001
- 13 Kentta G, Hassmen P. Overtraining and recovery. A conceptual model. Sports Med 1998; 26: 1-16
- 14 Lamberts RP. Predicting cycling performance in trained to elite male and female cyclists. Int J Sports Physiol Perform 2013;
- 15 Lamberts RP, Rietjens GJ, Tijdink HH, Noakes TD, Lambert MI. Measuring submaximal performance parameters to monitor fatigue and predict cycling performance: a case study of a world-class cyclo-cross cyclist. Eur J Appl Physiol 2010; 108: 183-190
- 16 Lamberts RP, Swart J, Capostagno B, Noakes TD, Lambert MI. Heart rate recovery as a guide to monitor fatigue and predict changes in performance parameters. Scand J Med Sci Sports 2010; 20: 449-457
- 17 Lamberts RP, Swart J, Noakes TD, Lambert MI. A novel submaximal cycle test to monitor fatigue and predict cycling performance. Br J Sports Med 2011; 45: 797-804
- 18 Lamberts RP, Swart J, Woolrich RW, Noakes TD, Lambert MI. Measurement error associated with performance testing in well-trained cyclists: Application to the precision of monitoring changes in training status. Int Sportmed J 2009; 10: 33-44
- 19 Matos NF, Winsley RJ, Williams CA. Prevalence of nonfunctional overreaching/overtraining in young English athletes. Med Sci Sports Exerc 2011; 43: 1287-1294
- 20 McEwen BS. Physiology and neurobiology of stress and adaptation: central role of the brain. Physiol Rev 2007; 87: 873-904
- 21 Nederhof E, Brink MS, Lemmink KAPM. Reliability and validity of the Dutch Recovery Stress Questionnaire for athletes. Int J Sport Psychol 2008; 39: 301-311
- 22 Rasbash J, Steele F, Browne W, Goldstein H. A user’s guide to MLwiN. United Kingdom 2009: 296
- 23 Ruuska PS, Hautala AJ, Kiviniemi AM, Makikallio TH, Tulppo MP. Self-rated mental stress and exercise training response in healthy subjects. Front Physiol 2012; 3: 51
- 24 Williams TJ, Krahenbuhl GS, Morgan DW. Mood state and running economy in moderately trained male runners. Med Sci Sports Exerc 1991; 23: 727-731