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  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2017
    In:  Journal of Strength and Conditioning Research Vol. 31, No. 3 ( 2017-03), p. 608-619
    In: Journal of Strength and Conditioning Research, Ovid Technologies (Wolters Kluwer Health), Vol. 31, No. 3 ( 2017-03), p. 608-619
    Abstract: Julian, R, Meyer, T, Fullagar, HHK, Skorski, S, Pfeiffer, M, Kellmann, M, Ferrauti, A, and Hecksteden, A. Individual patterns in blood-borne indicators of fatigue—trait or chance. J Strength Cond Res 31(3): 608–619, 2017—Blood-borne markers of fatigue such as creatine kinase (CK) and urea (U) are widely used to fine-tune training recommendations. However, predictive accuracy is low. A possible explanation for this dissatisfactory characteristic is the propensity of athletes to react to different patterns of fatigue indicators (e.g., predominantly muscular [CK] or metabolic [U] ). The aim of the present trial was to explore this hypothesis by using repetitive fatigue-recovery cycles. A total of 22 elite junior swimmers and triathletes (18 ± 3 years) were monitored for 9 weeks throughout 2 training phases (low-intensity, high-volume [LIHV] and high-intensity, low-volume [HILV] phases). Blood samples were collected each Monday (recovered) and Friday (fatigued) morning. From measured values of CK, U, free-testosterone (FT), and cortisol (C) as determined in the rested and fatigued state, respectively, Monday–Friday differences (Δ) were calculated and classified by magnitude before calculation of ratios (ΔCK/ΔU and ΔFT/ΔC). Coefficient of variation (CV) was calculated as group-based estimate s of reproducibility. Linear mixed modeling was used to differentiate inter- and intraindividual variability. Consistency of patterns was analyzed by comparing with threshold values ( 〈 0.9 or 〉 1.1 for all weeks). Reproducibility was very low for fatigue-induced changes (CV ≥ 100%) with interindividual variation accounting for 45–60% of overall variability. Case-wise analysis indicated consistent ΔCK/ΔU patterns for 7 individuals in LIHV and 7 in HILV; 5 responded consistently throughout. For ΔFT/ΔC the number of consistent patterns was 2 in LIHV and 3 in HILV. These findings highlight the potential value of an individualized and multivariate approach in the assessment of fatigue.
    Type of Medium: Online Resource
    ISSN: 1064-8011
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2017
    detail.hit.zdb_id: 2142889-X
    SSG: 31
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2016
    In:  Journal of Strength and Conditioning Research Vol. 30, No. 12 ( 2016-12), p. 3412-3427
    In: Journal of Strength and Conditioning Research, Ovid Technologies (Wolters Kluwer Health), Vol. 30, No. 12 ( 2016-12), p. 3412-3427
    Abstract: Raeder, C, Wiewelhove, T, Simola, RÁDP, Kellmann, M, Meyer, T, Pfeiffer, M, and Ferrauti, A. Assessment of fatigue and recovery in male and female athletes after 6 days of intensified strength training. J Strength Cond Res 30(12): 3412–3427, 2016—This study aimed to analyze changes of neuromuscular, physiological, and perceptual markers for routine assessment of fatigue and recovery in high-resistance strength training. Fourteen male and 9 female athletes participated in a 6-day intensified strength training microcycle (STM) designed to purposefully overreach. Maximal dynamic strength (estimated 1 repetition maximum [1RM est ]; criterion measure of fatigue and recovery); maximal voluntary isometric strength (MVIC); countermovement jump (CMJ) height; multiple rebound jump (MRJ) height; jump efficiency (reactive strength index, RSI); muscle contractile properties using tensiomyography including muscle displacement (Dm), delay time (Td), contraction time (Tc), and contraction velocity (V90); serum concentration of creatine kinase (CK); perceived muscle soreness (delayed-onset muscle soreness, DOMS) and perceived recovery (physical performance capability, PPC); and stress (MS) were measured before and after the STM and after 3 days of recovery. After completing the STM, there were significant ( p ≤ 0.05) performance decreases in 1RM est (%∆ ± 90% confidence limits, ES = effect size; −7.5 ± 3.5, ES = −0.21), MVIC (−8.2 ± 4.9, ES = −0.24), CMJ (−6.4 ± 2.1, ES = −0.34), MRJ (−10.5 ± 3.3, ES = −0.66), and RSI (−11.2 ± 3.8, ES = −0.73), as well as significantly reduced muscle contractile properties (Dm, −14.5 ± 5.3, ES = −0.60; V90, −15.5 ± 4.9, ES = −0.62). After days of recovery, a significant return to baseline values could be observed in 1RM est (4.3 ± 2.8, ES = 0.12), CMJ (5.2 ± 2.2, ES = 0.28), and MRJ (4.9 ± 3.8, ES = 0.32), whereas RSI (−7.9 ± 4.5, ES = −0.50), Dm (−14.7 ± 4.8, ES = −0.61), and V90 (−15.3 ± 4.7, ES = −0.66) remained significantly reduced. The STM also induced significant changes of large practical relevance in CK, DOMS, PPC, and MS before to after training and after the recovery period. The markers Td and Tc remained unaffected throughout the STM. Moreover, the accuracy of selected markers for assessment of fatigue and recovery in relation to 1RM est derived from a contingency table was inadequate. Correlational analyses also revealed no significant relationships between changes in 1RM est and all analyzed markers. In conclusion, mean changes of performance markers and CK, DOMS, PPC, and MS may be attributed to STM-induced fatigue and subsequent recovery. However, given the insufficient accuracy of markers for differentiation between fatigue and recovery, their potential applicability needs to be confirmed at the individual level.
    Type of Medium: Online Resource
    ISSN: 1064-8011
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2016
    detail.hit.zdb_id: 2142889-X
    SSG: 31
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2017
    In:  Journal of Strength and Conditioning Research Vol. 31, No. 6 ( 2017-06), p. 1569-1576
    In: Journal of Strength and Conditioning Research, Ovid Technologies (Wolters Kluwer Health), Vol. 31, No. 6 ( 2017-06), p. 1569-1576
    Abstract: Schimpchen, J, Wagner, M, Ferrauti, A, Kellmann, M, Pfeiffer, M, and Meyer, T. Can cold water immersion enhance recovery in elite Olympic weightlifters? An individualized perspective. J Strength Cond Res 31(6): 1569–1576, 2017—We investigated whether cold water immersion (CWI) after intensive training sessions can enhance recovery in elite Olympic weightlifters, taking into account each athlete's individual response pattern. The entire German male Olympic weightlifting national team participated in the study ( n = 7), ensuring collection of data from elite athletes only. Using a randomized cross-over design, the athletes went through 2 high-intensity training microcycles consisting of 5 training sessions that were either followed by a CWI or passive recovery. Barbell speed in a snatch pull movement, blood parameters, and subjective ratings of general fatigue and recovery were assessed throughout the study. Physical performance at 2 snatch pull intensities (85% one repetition maximum [1RM]: −0.15% vs. −0.22%, p = 0.94; 90% 1RM: −0.7% vs. +1.23%, p = 0.25) did not differ significantly (condition × time). Although questionnaires revealed a significant decline in the ratings of overall recovery ( p 〈 0.001) and a significantly higher rating of overall stress ( p = 0.03) over time, no significant differences between conditions ( p = 0.14; p = 0.98) could be revealed. Similarly, neither of the analyzed blood parameters changed significantly between conditions over time (creatine kinase: p = 0.53; urea: p = 0.43; cortisol: p = 0.59; testosterone: p = 0.53; testosterone:cortisol ratio: p = 0.69). In general, CWI did not prove to be an effective tool to enhance recovery in elite Olympic weightlifters over a 3-day intensive training period. However, even though the group was rather homogeneous with regard to performance, there were considerable intersubject differences in their response to CWI. It seems that athletes are best advised on a case-by-case basis.
    Type of Medium: Online Resource
    ISSN: 1064-8011
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2017
    detail.hit.zdb_id: 2142889-X
    SSG: 31
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  • 4
    Online Resource
    Online Resource
    Informa UK Limited ; 2023
    In:  European Journal of Sport Science Vol. 23, No. 9 ( 2023-09-02), p. 1829-1837
    In: European Journal of Sport Science, Informa UK Limited, Vol. 23, No. 9 ( 2023-09-02), p. 1829-1837
    Type of Medium: Online Resource
    ISSN: 1746-1391 , 1536-7290
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2038559-6
    SSG: 31
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  • 5
    Online Resource
    Online Resource
    Hogrefe Publishing Group ; 2015
    In:  Zeitschrift für Sportpsychologie Vol. 22, No. 4 ( 2015-10), p. 146-162
    In: Zeitschrift für Sportpsychologie, Hogrefe Publishing Group, Vol. 22, No. 4 ( 2015-10), p. 146-162
    Abstract: Zusammenfassung. Mit der Entwicklung einer Kurzform (Kurzskala zur Erfassung von Erholung und Beanspruchung im Sport; KEB) des Akutmaßes zur Erfassung von Erholung und Beanspruchung im Sport (AEB) wird dem Bedarf der Sportpraxis nach einem ökonomischen, validen und veränderungssensitiven Messinstrument zur Erfassung von Erholung und Beanspruchung nachgegangen. Nach einem vierstufigen Entwicklungs- und Validierungsprozess des AEB wurde aus den exploratorisch errechneten und konfirmatorisch geprüften Faktoren des AEB die KEB mit acht Items abgeleitet. Es konnten sehr gute Bereichshomogenitäten, moderate Interkorrelationen und hypothesenkonforme Korrelationen mit dem AEB berechnet werden. Der KEB zeigte ein dem AEB inhaltlich übereinstimmendes Korrelationsmuster mit den konvergenten Verfahren Erholungs-Belastungs-Fragebogen für Sportler (EBF-Sport) und visuelle Analogskala zum Muskelschmerzempfinden (Delayed-onset muscle soreness; DOMS). In einem Trainingsmonitoring mit der deutschen Hockey-Juniorinnen-Nationalmannschaft wurde die Veränderungssensitivität der KEB belegt und ein übereinstimmendes Ergebnismuster mit dem AEB, dem EBF-Sport und der DOMS gefunden.
    Type of Medium: Online Resource
    ISSN: 1612-5010 , 2190-6300
    Language: German
    Publisher: Hogrefe Publishing Group
    Publication Date: 2015
    detail.hit.zdb_id: 2143348-3
    SSG: 5,2
    SSG: 31
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  • 6
    In: PLOS ONE, Public Library of Science (PLoS), Vol. 15, No. 12 ( 2020-12-21), p. e0244412-
    Abstract: To investigate short-term training and recovery-related effects on heart rate during a standardized submaximal running test. Methods Ten elite badminton players (7 females and 3 males) were monitored during a 12-week training period in preparation for the World Championships. Exercise heart rate (HRex) and perceived exertion were measured in response to a 5-min submaximal shuttle-run test during the morning session warm-up. This test was repeatedly performed on Mondays after 1–2 days of pronounced recovery (‘recovered’ state; reference condition) and on Fridays following 4 consecutive days of training (‘strained’ state). In addition, the serum concentration of creatine kinase and urea, perceived recovery–stress states, and jump performance were assessed before warm-up. Results Creatine kinase increased in the strained compared to the recovered state and the perceived recovery–stress ratings decreased and increased, respectively (range of average effects sizes: | d| = 0.93–2.90). The overall HRex was 173 bpm and the observed within-player variability (i.e., standard deviation as a coefficient of variation [CV] ) was 1.3% (90% confidence interval: 1.2% to 1.5%). A linear reduction of -1.4% (-3.0% to 0.3%) was observed in HRex over the 12-week observational period. HRex was -1.5% lower (-2.2% to -0.9%) in the strained compared to the recovered state, and the standard deviation (as a CV) representing interindividual variability in this response was 0.7% (-0.6% to 1.2%). Conclusions Our findings suggest that HRex measured during a standardized warm-up can be sensitive to short-term accumulation of training load, with HRex decreasing on average in response to consecutive days of training within repeated preparatory weekly microcycles. From a practical perspective, it seems advisable to determine intra-individual recovery–strain responses by repeated testing, as HRex responses may vary substantially between and within players.
    Type of Medium: Online Resource
    ISSN: 1932-6203
    Language: English
    Publisher: Public Library of Science (PLoS)
    Publication Date: 2020
    detail.hit.zdb_id: 2267670-3
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  • 7
    In: European Journal of Sport Science, Informa UK Limited, Vol. 22, No. 7 ( 2022-07-03), p. 973-984
    Type of Medium: Online Resource
    ISSN: 1746-1391 , 1536-7290
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2038559-6
    SSG: 31
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  • 8
    Online Resource
    Online Resource
    Human Kinetics ; 2017
    In:  International Journal of Sports Physiology and Performance Vol. 12, No. 9 ( 2017-10), p. 1137-1142
    In: International Journal of Sports Physiology and Performance, Human Kinetics, Vol. 12, No. 9 ( 2017-10), p. 1137-1142
    Abstract: Assessment of muscle recovery is essential for the daily fine-tuning of training load in competitive sports, but individual differences may limit the diagnostic accuracy of group-based reference ranges. This article reports an attempt to develop individualized reference ranges using a Bayesian approach comparable to that developed for the Athlete Biological Passport. Methods: Urea and creatine kinase (CK) were selected as indicators of muscle recovery. For each parameter, prior distributions and repeated-measures SDs were characterized based on data of 883 squad athletes (1758 data points, 1–8 per athlete, years 2013–2015). Equations for the individualization procedure were adapted from previous material to allow for discrimination of 2 physiological states (recovered vs nonrecovered). Evaluation of classificatory performance was carried out using data from 5 consecutive weekly microcycles in 14 elite junior swimmers and triathletes. Blood samples were collected every Monday (recovered) and Friday according to the repetitive weekly training schedule over 5 wk. On the group level, changes in muscle recovery could be confirmed by significant differences in urea and CK and validated questionnaires. Group-based reference ranges were derived from that same data set to avoid overestimating the potential benefit of individualization. Results: For CK, error rates were significantly lower with individualized classification ( P vs group-based: test-pass error rate P = .008; test-fail error rate P 〈 .001). For urea, numerical improvements in error rates failed to reach significance. Conclusions: Individualized reference ranges seem to be a promising tool to improve accuracy of monitoring muscle recovery. Investigating application to a larger panel of indicators is warranted.
    Type of Medium: Online Resource
    ISSN: 1555-0265 , 1555-0273
    Language: Unknown
    Publisher: Human Kinetics
    Publication Date: 2017
    SSG: 31
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  • 9
    Online Resource
    Online Resource
    Human Kinetics ; 2017
    In:  International Journal of Sports Physiology and Performance Vol. 12, No. s2 ( 2017-04), p. S2-114-S2-121
    In: International Journal of Sports Physiology and Performance, Human Kinetics, Vol. 12, No. s2 ( 2017-04), p. S2-114-S2-121
    Abstract: A recovery process with optimal prerequisites that is interrupted is termed disrupted recovery. Whether this process has an influence on performance-related factors needs to be investigated. Therefore, the aim of this study was to examine how a short disturbance of a recovery phase is assessed and whether subsequent repeated-sprint performance is affected by it. A quasi-experimental 2 × 2-factor crossover design with 34 sport-science undergraduate students (age 20.3 ± 2.1 y) was applied. Factors were the type of intervention (power nap vs systematic breathing; between-subjects) and the experimental condition (disturbed vs nondisturbed break; within-subject). Repeated-sprint performance was measured through 6 × 4-s sprint protocols (with 20-s breaks) before and after a 25-min recovery break on 2 test days. Subjective evaluation of the interventions was measured through the Short Recovery and Stress Scale and a manipulation check assessing whether participants experienced the recovery phase as efficacious and pleasant. Regarding the objective data, no significant difference between sprint performances in terms of average peak velocity (m/s) on the treadmill was found. The manipulation check revealed that disturbed conditions were rated significantly lower than regular conditions in terms of appreciation, t 31 = 3.09, P = .01. Short disturbances of recovery do not seem to affect subsequent performance; nevertheless, participants assessed disturbed conditions more negatively than regular conditions. In essence, the findings indicate a negligible role of short interruptions on an objective level. Subjectively, they affected the performance-related assessment of the participants and should be treated with caution.
    Type of Medium: Online Resource
    ISSN: 1555-0265 , 1555-0273
    Language: Unknown
    Publisher: Human Kinetics
    Publication Date: 2017
    SSG: 31
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  • 10
    Online Resource
    Online Resource
    Human Kinetics ; 2020
    In:  International Journal of Sports Physiology and Performance Vol. 15, No. 7 ( 2020-08-1), p. 934-940
    In: International Journal of Sports Physiology and Performance, Human Kinetics, Vol. 15, No. 7 ( 2020-08-1), p. 934-940
    Abstract: Purpose : Despite indications of positive effects of sauna (SAU) interventions, effects on performance recovery are unknown. The aim of the current study was to investigate acute effects of SAU bathing after an intensive training session on recovery of swim performance. Methods : In total, 20 competitive swimmers and triathletes (3 female and 17 male) with a minimum of 2 y of competition experience (national level or higher) participated in the study. Athletes completed an intensive training session followed by either a SAU bathing intervention or a placebo (PLAC) condition in a randomized order. SAU consisted of 3 × 8 min of SAU bathing at 80–85°C, whereas during PLAC, athletes applied a deidentified, pH-balanced massage oil while passively resting in a seated position. Prior to training, swimmers conducted a 4 × 50-m all-out swim test that was repeated on the following morning. Furthermore, subjective ratings of fatigue and recovery were measured. Results : Swimmers performed significantly worse after SAU (4 × 50-m pre–post difference: +1.69 s) than after PLAC (−0.66 s; P  = .02), with the most pronounced decrease in the first 50 m ( P  = .04; +2.7%). Overall performance of 15 athletes deteriorated (+2.6 s). The subjective feeling of stress was significantly higher after SAU than after PLAC ( P  = .03). Conclusion : Based on published findings, the smallest substantial change in swimming performance is an increase in time of more than 1.2 s; thus, the observed reductions appear relevant for competitive swimmers. According to the current results, coaches and athletes should be careful with postexercise SAU if high-intensity training and/or competitions are scheduled on the following day.
    Type of Medium: Online Resource
    ISSN: 1555-0265 , 1555-0273
    Language: Unknown
    Publisher: Human Kinetics
    Publication Date: 2020
    SSG: 31
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