Can psychological well-being scales and hormone levels be used to predict acute performance of anaerobic training tasks in elite female volleyball players?

Mielgo-Ayuso, Juan; Zourdos, Michael C.; Clemente-Suárez, Vicente Javier; Calleja-González, Julio; Shipherd, Amber M.

doi:10.1016/j.physbeh.2017.08.008

Cited by 15 publications

(9 citation statements)

References 29 publications

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“…Baseline levels of END, ACTH and PRL were in consonance (although slightly lower) with those previously found in the target population ( Mielgo-Ayuso et al, 2017 ; Sönksen et al, 2018 ; Suzuki et al, 2000 ). Although in the present study we did not consider a control group, the similarity of these results with the reference data does not allow to establish a clear exercise-adaptive effect on the baseline levels of these hormones ( Duclos et al, 2001 ).…”

Section: Discussionsupporting

confidence: 89%

“…Z-value = Wilcoxon signed-rank test Z statistic; F-value = repeated measures ANOVA F statistic; pη 2 = partial eta squared; r = effect size for non-normally distributed data; ** p < .01 = significant differences between t1-t0 and t2-t0; † † p < .01 and † † † p < .001 = significant differences between t2-t0 and t3-t2; ‡ p < .05 and ‡ ‡ p < .01 = significant difference between t3-t0 and t3-t2; § § p < .01 and § § § p < .001 = significant differences between t2-t0 and t3-t0. Baseline levels of END, ACTH and PRL were in consonance (although slightly lower) with those previously found in the target population (Mielgo-Ayuso et al, 2017;Sönksen et al, 2018;Suzuki et al, 2000). Although in the present study we did not consider a control group, the similarity of these results with the reference data does not allow to establish a clear exercise-adaptive effect on the baseline levels of these hormones (Duclos et al, 2001).…”

Section: © Editorial Committee Of Journal Of Human Kineticssupporting

confidence: 86%

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Training vs. Competition in Sport: State Anxiety and Response of Stress Hormones in Young Swimmers

Páez¹,

Martínez-Díaz²

2021

Journal of Human Kinetics

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This study was aimed to assess the neuroendocrine response to stress induced by different sports environments (a regular training session and a competitive event), to define the contribution of psychological and physical stress, and to check the possible relationship between state-anxiety and stress hormones responses to competitive and non-competitive sports practices. Twelve young national-level male swimmers participated in this investigation. Endorphins, adrenocorticotropin, and prolactin plasma levels were measured at baseline conditions (t0), before a regular swimming training session (t1), and before and after real swimming competition consisting of 100 m freestyle (t2 and t3, respectively). Moreover, state-anxiety was evaluated in all assessment time-points. The results showed no differences in endorphin, adrenocorticotropin, prolactin and state-anxiety between t0 and t1; however, significant increases in endorphins (142%), prolactin (137%) and state-anxiety (13%) were observed in t2. Huge stress response was observed in t3 (increases of 354%, 387%, and 250% for endorphins, adrenocorticotropin, and prolactin, respectively) although state-anxiety decreased slightly. Lastly, a lack of the relationship between stress hormones and state-anxiety was found in all conditions. Mental and especially physical stress associated with sports competition induces a significant release of stress hormones which is not relevant for the regular training session.

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Section: Discussionsupporting

confidence: 89%

Section: © Editorial Committee Of Journal Of Human Kineticssupporting

confidence: 86%

Training vs. Competition in Sport: State Anxiety and Response of Stress Hormones in Young Swimmers

Páez¹,

Martínez-Díaz²

2021

Journal of Human Kinetics

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“…The anxiety responses of athletes could be modulated by the specific requirements of the task demands of the sport [4]. Questionnaires/assessment scales such as the CSAI-2 are an attractive strategy to gauge training stress and readiness, since they are non-invasive, inexpensive, and easy to understand [35]. In this study, the main effect of the type of athlete was shown only using the CSAI-2 instrument.…”

Section: Discussionmentioning

confidence: 97%

Heart rate variability, salivary cortisol and competitive state anxiety responses during pre-competition and pre-training moments

Souza

Beltran

Zapata

et al. 2019

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The study aimed to investigate physiological and psychological states prior to competition and prior to training in three different demanding activities. Eighteen canoe athletes, 18 street runners and 18 jiu-jitsu fighters were included in this study (n=54). The Competitive State Anxiety Inventory-2 (CSAI-2), salivary cortisol and heart rate variability (HRV) were measured at two time points (pre-training and pre-competition). Somatic anxiety (F1,42 = 15.29, p = 0.0003), HRV (F1,42 = 23.24, p < 0.0001) and salivary cortisol (F1,42 = 22.96, p < 0.0001) were significantly greater at the pre-competition measurement point than at the pre-training point, but without a main effect of the type of athlete on these variables. A main effect of the type of athlete was found on somatic anxiety (F2,42 = 6.58, p = 0.0033), cognitive anxiety (F2,42 = 10.69, p = 0.0002) and self-confidence (F2,42 = 5.42, p = 0.0080). Correlations between most CSAI-2 and physiological parameters were not significant (p > 0.05). In conclusion, the results indicated that both emotional indices and psychophysiological indices of stress are higher before competition than before training, with differences between emotional states between these sports. Although correlations between emotional states and psycho-physiological states before competition and before training were largely non-significant, these findings reinforce the importance of psychological monitoring of athletes in association with traditional physiological markers such as cortisol and HRV in sportive training programmes as complementary resources to improve both competition performance and the training routine.

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“…Studies have also found relationships between monotony of training and training strain (Anderson et al, 2003). These data suggest that training and competition loads can impact athletes’ wellness status (Haddad et al, 2013; Mielgo-Ayuso et al, 2017), which influences sports performance. Wellness status may be influenced by different physical and psychological factors and can be assessed by variables such as delayed onset muscle soreness (DOMS), stress, fatigue, mood, and sleep quality (Haddad et al, 2013; Hooper and Mackinnon, 1995).…”

Section: Introductionmentioning

confidence: 88%

Perceived Training Load, Muscle Soreness, Stress, Fatigue, and Sleep Quality in Professional Basketball: A Full Season Study

Clemente

Mendes

Bredt

et al. 2019

Journal of Human Kinetics

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This study aimed to compare the perceived training load (session-RPE) and wellness status (muscle soreness, stress, fatigue, and sleep quality) within and between regular (one-match) and congested (two matches) weeks. Fifteen professional basketball players from a European First league club participated in this study. Wellness status (Hooper’s questionnaire) and perceived training loads (session-RPE) were measured for each training session and matches over a full season. Regular weeks presented moderately greater session-RPE than congested weeks (p = 0.201; d = 2.15, moderate effect). Both regular and congested weeks presented a decrease in perceived training load before matches, which was accompanied by improved wellness status on a match day. Congested weeks presented moderately lower sleep quality (p = 0.421; d = 1.320, moderate effect) and moderately greater fatigue (p = 0.468; d = 1.401, moderate effect) than regular weeks. Regular and congested weeks presented minimum differences for DOMS and stress. Lower wellness in congested weeks may be associated to an accumulative effect of training and match loads. Tapering phases before matches seem to play an important role for improving athletes’ wellness and preventing overtraining.

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Can psychological well-being scales and hormone levels be used to predict acute performance of anaerobic training tasks in elite female volleyball players?

Cited by 15 publications

References 29 publications

Training vs. Competition in Sport: State Anxiety and Response of Stress Hormones in Young Swimmers

Training vs. Competition in Sport: State Anxiety and Response of Stress Hormones in Young Swimmers

Heart rate variability, salivary cortisol and competitive state anxiety responses during pre-competition and pre-training moments

Perceived Training Load, Muscle Soreness, Stress, Fatigue, and Sleep Quality in Professional Basketball: A Full Season Study

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