Heart rate recovery responses after acute training load changes in top-class water polo players

In-Season Training Load Variation - Heart Rate Recovery, Perceived Recovery Status, and Performance in Elite Male Water Polo Players: A Pilot Study

BACKGROUND

Increased training and competition demands of the in-season period may disturb athlete fatigue and recovery balance. The aim of this study was to describe the training load distribution applied in a competitive period and the training adaptations and fatigue/recovery status of elite water polo players.

HYPOTHESIS

Effective workload management during tapering (TAP) would restore player recovery and enhance performance.

STUDY DESIGN

Case series.

LEVEL OF EVIDENCE

Level 4.

METHODS

Training load, perceived recovery, maximal speed in 100- and 200-meter swim, heart rate (HR) during submaximal swimming (HRsubmax) and HR recovery (HRR) were assessed in 7 outfield water polo players a week before starting a normal training microcycle (NM), after NM, and after congested (CON) and TAP training blocks in the lead-up to the Final Eight of the European Champions League.

RESULTS

Training load was higher in NM compared with CON and TAP by 28.9 ± 2.6% and 42.8 ± 2.1% (P < 0.01, d = 11.54, and d = 13.45, respectively) and higher in CON than TAP by 19.4 ± 4.2% (P < 0.01, d = 3.78). Perceived recovery was lower in CON compared with NM and TAP (P < 0.01, d = 1.26 and d = 3.11, respectively) but not different between NM and TAP (P = 0.13, d = 0.62). Both 100- and 200-meter swim performance was improved in TAP compared with baseline (P < 0.01, d = 1.34 and d = 1.12, respectively). No differences were detected among other training blocks. HRsubmax and most HRR were similar among the training periods.

CONCLUSION

Effective management of training load at TAP can restore recovery and improve swimming performance without affecting HR responses.

CLINICAL RELEVANCE

Despite lower workloads, CON training impairs perceived recovery without affecting performance; however, a short-term training load reduction after a CON fixture restores recovery and improves performance.

Do deficits in subjective stress recovery predict subsequent stress sensitivity and symptoms in schizophrenia spectrum disorders?

High levels of stress play a crucial role in the development of psychotic symptoms, such as paranoia, and may stem in part from recovery deficits after stress exposure. However, it remains unclear whether deficient recovery causes a build-up of heightened stress levels that increases stress sensitivity and symptoms when exposed to another stressor. To test this, we investigated the effect of subjective stress recovery on the response to a subsequent stressor and paranoia. We applied two consecutive runs of the same combined physical and cognitive stressor separated by a recovery phase of 60 min in individuals with schizophrenia spectrum disorders (n = 49). We repeatedly assessed self-reported stress, negative affect, heart rate, heart rate variability, salivary cortisol, and paranoia. Recovery of self-reported stress was defined as the geometric mean of the percentage changes of self-reported stress during recovery after the first stressor, and was regressed on the response to the second stressor controlling for self-reported stress during the first stressor. Lower subjective stress recovery predicted higher levels of self-reported stress, negative affect, and paranoia in response to the second stressor. The subjective stress recovery was not predictive of the physiological stress response (heart rate, heart rate variability, or salivary cortisol). Taken together, the findings indicate that recovery deficits could contribute to high levels of self-reported stress, negative affect, and paranoia in schizophrenia spectrum disorders and that the improvement of stress recovery could be a promising approach for interventions.

Case study of IMU loads and self-reported fatigue monitoring of water polo goalkeepers preparing for the Olympic games

Introduction

Measurement of training in water polo goalkeepers has focused first on psycho-physiological variables, but also on external volume estimated with wearable sensors. However, there are limited studies exploring training monitoring in water polo goalkeepers longitudinally.

Methods

Three female senior national team goalkeepers participated in this study from May to August 2021. Internal loads were defined using session rating of perceived exertion (sRPE). Tri-axial accelerations and angular velocities were measured with an inertial measurement unit (IMU) placed on the lower back to measure external loads. Relationships between self-reported and IMU-derived metrics were explored using Spearman correlations. Two-way ANOVAs were used to assess differences between session types and between athletes.

Results

In total, 247 sessions were collected (159 practices, 67 matches and 21 game warm up), with 155 sessions having complete data. IMU metrics, such as number of kicks, number of jumps or player-load showed high correlation with each other (ρ = 0.80-0.88). There was also a moderate correlation (ρ = 0.47, 95% CI = 0.33-0.58) between sRPE and player-load measured with the IMU. ANOVA tests showed that there were significant differences between athletes for sRPE (p < 0.01) but not for player load (p = 0.47). There were no interactions between athletes and training types, except for index score (p < 0.01).

Conclusions

This study shows that monitoring of training loads can be performed successfully in water polo goalkeepers using a combination of self-reported and IMU measures. Self-reported outcomes can be expected to vary significantly across athletes within the same session, while IMU metrics vary across training situations. Finally, coaches should be mindful of missing data, as they can skew the interpretation of training loads.

Recovery After Stress-Autonomic and Subjective Arousal in Individuals With Psychosis Compared to Healthy Controls

BACKGROUND AND HYPOTHESIS

Heightened stress levels in individuals with psychosis (PSY) are associated with psychotic symptom occurrence and may be partially attributed to well-established deficits in resting-state heart rate variability (HRV) and emotion regulation. In healthy participants, resting-state HRV and self-reported emotion regulation skills have been linked to recovery after a stressor; however, it is unclear whether stress recovery is altered in PSY. Thus, we compared the autonomic and subjective recovery of PSY to healthy controls (HC) and investigated the predictive value of resting-state HRV and emotion regulation skills.

STUDY DESIGN

We assessed resting-state HRV and self-reported emotion regulation one week prior to a combined physical and cognitive stress induction. After the stress exposure, we assessed the autonomic (decrease in heart rate [HR], increase in HRV) and subjective (decrease in subjective stress and negative affect) recovery in PSY (n = 50) and HC (n = 50) over 60 min.

STUDY RESULTS

Repeated-measures ANOVA revealed the expected interaction of time × group for subjective stress but not negative affect or autonomic stress. Resting-state HRV predicted recovery of HR, and emotion regulation skills predicted recovery of HRV but not of the other parameters.

CONCLUSIONS

Although subjective stress recovery was delayed in PSY, the absence of autonomic recovery deficits suggests that a prolonged stress response may not contribute to heightened stress levels to the expected extent. Improving resting-state HRV and emotion regulation may support autonomic recovery, but further investigation is required to test the impact of such improvements on psychotic symptoms.

Recovery in water polo: how much do we have to know? A systematic review

Water polo (WP) is a high-intensity intermittent aquatic sport, with a predominance of swimming skills and nonswimming activities and incomplete recovery periods. Consequently, recovery after exercise is a fundamental part of sports performance. The main purpose of this systematic review was to evaluate the effects of different recovery strategies in WP performance. The studies were found by searching in the databases of PubMed, Web of Science, and Scopus. Methodological quality and risk of bias were assessed in accordance with the Cochrane Collaboration Guidelines samples. A summary of results including five studies was followed. The results show that supplementation with cherry juice before training does not imply improvements in recovery; the full-body photobiomodulation therapy reduces muscle damage; reducing training load during the season increased the natural logarithm of the root mean square of successive differences and perceived state of recovery, and the heart rate variability stabilizes and could progressively increase at the end of a tournament; and when an increase in internal training load is less than 60%–70% autonomic cardiac disturbances during preseason training do not occur. Recovery in WP is a very limited field of study that needs future research in active recovery, hydrotherapy, massage, rest and sleep to help coaches formulate recommendations.

Physiological swimming test for water polo players in the last twenty years: a systematic review

INTRODUCTION

Swimming represents a crucial capacity for water polo players. Several studies have proposed different protocols to understand the incidence of this capacity on water polo performance and improve the players' swimming assessment. This work aims to provide a systematic review regarding the current status of physiological swimming tests for water polo players with the purpose to furnish a complete framework to coaches and fully exploit recent advances of scientific research to enhance performance assessment and monitoring of the athletes.

EVIDENCE ACQUISITION

PubMed, Google Scholar, Scopus, and Science Direct were searched for relevant studies published from January 2000 to January 2021. The study dealt with a specific water test and performed in a horizontal swimming position without ball were included.

EVIDENCE SYNTHESIS

Twenty-three studies met the inclusion criteria. The results indicate the physiological assessment of water polo players might be divided into two areas concerning the swimming evaluation: swimming sprint tests and endurance swimming test. Furthermore, endurance swimming tests may be split into two subgroups: anaerobic-endurance swimming and aerobic-endurance swimming tests. Each of these areas evaluates a specific conditional capacity through swimming protocols based on the players' individual profile and water polo demands.

CONCLUSIONS

In the last years, scientific research has studied the typical ability of each water polo rule and of every athletes' level that represents this sport. The results have oriented the researchers to choose different protocols to evaluate each swimming capacity that characterises a particular phase of the water polo match.

Supercompensation in Elite Water Polo: Heart Rate Variability and Perceived Recovery

We examined the association of heart rate variability assessed with the logarithm of the root mean square of successive differences (LnRMSSD) and perceived recovery status of nine elite water polo players with the fluctuations of the internal training load (ITL). ITL, post-wakening LnRMSSD, and measures of perceived recovery were obtained across one regeneration week, during two mesocycles of intensified preseason training (PR1, PR2) and during two mesocycles of in-season training (IN1, IN2). ITL at PR1 and PR2 was increased by 60–70% compared to regeneration week (p<0.01) and was reduced by 30% at IN1 and IN2 compared to PR1 and PR2 (p<0.01). Weekly averaged LnRMSSD (LnRMSSD _mean ) was higher in IN2 compared to regeneration week and PR2 (p<0.01 and p<0.05, respectively). Perceived recovery was higher at IN1 and IN2 compared to PR2 (p=0.01 and p<0.001, respectively). ITL correlated with LnRMSSD in the preseason (r=–0.26, p=0.03). Nonetheless, similar association was not apparent during the in-season period (r=0.02, p=0.88). Cardiac autonomic perturbations may not occur when an increment of internal training load is less than 60–70%. However, the reduction of training load in season by 30% improves both LnRMSSD _mean and perceived recovery status, implying that training periodization may lead players in supercompensation.