44 resultados para OVERTRAINING


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This study investigated the effect of exercise on glutamine metabolism in macrophages of trained rats. Rats were divided into three groups: sedentary (SED); moderately trained (MOD) rats that were swim trained 1 h/day, 5 days/week for 6 weeks; and exhaustively trained (EXT) rats that were similarly trained as MOD for 5 weeks and, in the 6th week, trained in three 1-h sessions/day with 150 min of rest between sessions. The animals swam with a load equivalent to 5.5% of their body weight and were killed 1 h after the last exercise session. Cells were collected, and glutamine metabolism in macrophage and function were assayed. Exercise increased phagocytosis in MOD when compared to SED (34.48 +/- 1.79 vs 15.21 +/- 2.91%, P < 0.05); however, H(2)O(2) production was higher in MOD (75.40 +/- 3.48 nmol h x 10(5) cell(-1)) and EXT (79.20 +/- 1.18 nmol h x 10(5) cell(-1)) in relation to SED (32.60 +/- 2.51 nmol h x 10(5) cell(-1), P < 0.05). Glutamine consumption increased in MOD and EXT (26.53 +/- 3.62 and 19.82 +/- 2.62 nmol h x 10(5) cell(-1), respectively) relative to SED (6.72 +/- 0.57 nmol h x 10(5) cell(-1), P < 0.05). Aspartate increased in EXT (9.72 +/- 1.14 nmol h x 10(5) cell(-1)) as compared to SED (1.10 +/- 0.19 nmol h x 10(5) cell(-1), P < 0.05). Glutamine decarboxylation was increased in MOD (12.10 +/- 0.27 nmol h x 10(5) cell(-1)) and EXT (16.40 +/-\ 2.17 nmol h x 10(5) cell(-1)) relative to SED (1.10 +/- 0.06 nmol h x 10(5) cell(-1), P < 0.05). This study suggests an increase in macrophage function post-exercise, which was supported by enhanced glutamine consumption and metabolism, and highlights the importance for glutamine after exercise.

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Serotonin is a neurotransmitter that modulates several functions, such as food intake, energy expenditure, motor activity, mood and sleep. Acute exhaustive endurance exercise increases the synthesis, concentration and metabolism of serotonin in the brain. This phenomenon could be responsible for central fatigue after prolonged and exhaustive exercise. However, the effect of chronic exhaustive training on serotonin is not known. The present study was conducted to examine the effect of exhaustive endurance training on performance and serotonin concentrations in the hypothalamus of trained rats. Rats were divided into three groups: sedentary rats (SED), moderately trained rats (MOD) and exhaustively trained rats (EXT), with an increase of 200% in the load carried during the final week of training. Hypothalamic serotonin concentrations were similar between the SED and MOD groups, but were higher in the EXT group (P < 0.05). Performance was lower in the EXT group compared with the MOD group (P < 0.05). Thus, the present study demonstrates that exhaustive training increases serotonin concentrations in the hypothalamus, together with decreased endurance performance after inadequate recovery time. However, the mechanism underlying these changes remains unknown.

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Introduction: Cytokines (IL-6, IL-10 and TNF-alpha) are increased after exhaustive exercise in the rat retroperitoneal (RPAT) and mesenteric adipose tissue (MEAT) pads. On the other hand, these cytokines show decreased expression in these depots in response to a chronic exercise protocol. However, the effect of exercise with overload combined with a short recovery period on pro-and anti-inflammatory cytokine expression is unknown. In the present study, we investigated the regulation of cytokine production in the adipose tissue of rats after an overtraining-inducing exercise protocol. Methods: Male Wistar rats were divided into four groups: Control (C), Trained (Tr), Overtrained (OT) and recovered overtrained (R). Cytokines (IL-6, TNF-alpha and IL-10) levels and Toll Like Receptor 4 (TLR4), Nuclear Factor kBBp65 (NF-kBp65), Hormone Sensitive Lipase (HSL) and, Perilipin protein expression were assessed in the adipose tissue. Furthermore, we analysed plasma lipid profile, insulin, testosterone, corticosterone and endotoxin levels, and liver triacylglycerol, cytokine content, as well as apolipoprotein B (apoB) and TLR4 expression in the liver. Results: OT and R groups exhibited reduced performance accompanied by lower testosterone and increased corticosterone and endotoxin levels when compared with the control and trained groups. IL-6 and IL-10 protein levels were increased in the adipose tissue of the group allowed to recover, in comparison with all the other studied groups. TLR-4 and NF-kBp65 were increased in this same group when compared with both control and trained groups. The protein expression of HSL was increased and that of Perilipin, decreased in the adipose in R in relation to the control. In addition, we found increased liver and serum TAG, along with reduced apoB protein expression and IL-6 and IL-10 levels in the of R in relation to the control and trained groups. Conclusion: In conclusion, we have shown that increases in pro-inflammatory cytokines in the adipose tissue after an overtraining protocol may be mediated via TLR-4 and NF-kBp65 signalling, leading to an inflammatory state in this tissue.

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P>Reductions in plasma glutamine are observed after prolonged exercise. Three hypotheses can explain such a decrease: (i) high demand by the liver and kidney; (ii) impaired release from muscles; and (iii) decreased synthesis in skeletal muscle. The present study investigated the effects of exercise on glutamine synthesis and transport in rat skeletal muscle. Rats were divided into three groups: (i) sedentary (SED; n = 12); (ii) rats killed 1 h after the last exercise bout (EX-1; n = 15); and (iii) rats killed 24 h after the last exercise bout (EX-24; n = 15). Rats in the trained groups swam 1 h/day, 5 days/week for 6 weeks with a load equivalent to 5.5% of their bodyweight. Plasma glutamine and insulin were lower and corticosterone was higher in EX-1 compared with SED rats (P < 0.05 and P < 0.01, respectively). Twenty-four hours after exercise (EX-24), plasma glutamine was restored to levels seen in SED rats, whereas insulin levels were higher (P < 0.001) and costicosterone levels were lower (P < 0.01) than in EX-1. In the soleus, ammonia levels were lower in EX-1 than in SED rats (P < 0.001). After 24 h, glutamine, glutamate and ammonia levels were lower in EX-24 than in SED and EX-1 rats (P < 0.001). Soleus glutamine synthetase (GS) activity was increased in EX-1 and was decreased in EX-24 compared with SED rats (both P < 0.001). The decrease in plasma glutamine concentration in EX-1 is not mediated by GS or glutamine transport in skeletal muscle. However, 24 h after exercise, lower GS may contribute to the decrease in glutamine concentration in muscle.

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We report the initial validation of a multi-component assessment model for monitoring training distress among athletes. The model combines measures of mood disturbance with measures of perceived stress and symptom intensity. Altogether, 492 athletes completed the 10-item Perceived Stress Scale (PSS-10; Cohen et al., 1983), the 24-item Brunel Mood Scale (BRUMS; Terry et al., 2003), and a checklist of 19 symptoms associated with acute overtraining (Fry et al., 1994). Six training distress factors were identified by an exploratory factor analysis: ‘‘depressed mood’’, ‘‘perceived vigour’’, ‘‘physical symptoms’’, ‘‘sleep disturbance’’, ‘‘perceived stress’’, and ‘‘general fatigue’’. Comparisons of group means of these factors with a previously validated inventory were consistent with theoretical predictions and provided evidence of construct validity. Internal consistency of the subscales was also confirmed, with Cronbach alphas ranging from 0.72 to 0.86. Together, these findings suggest that this multi-component model provides a sound conceptual basis for the assessment of training distress among athletes.

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It has been purported that inflammatory cytokines may be responsible for the aetiology of overtraining. The aim of the present study was to investigate the relationship between self-reported measures of overtraining and inflammatory cytokines. Eight elite male rowers were monitored in their natural training environment for 8 weeks prior to the 2007 Rowing World Championships. During this period of intense endurance training, self-report measures of overtraining and inflammatory cytokines (Interleukin (IL)-1β, IL-6, IL-8, IL-10, IL-12p70, and Tumor Necrosis Factor (TNF)-) were assessed fortnightly. Consistent with previous findings, proinflammatory cytokines IL-1β and TNF- were significantly associated (p ≤ 0.05) with measures of depressed mood, sleep disturbances, and stress. Similarly, IL-6 was significantly associated (p ≤ 0.01) with measures of depressed mood, sleep disturbances, and fatigue. These results are consistent with previous hypotheses describing how overtraining may be caused by excessive cytokine release, and lend further support for a cytokine hypothesis of overtraining.

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Data on training of competitive athletes and the inflammatory response, and, more specifically, the utility of psychological inventories to monitor this response in regards to overreaching is limited. The aim of the present study was to investigate the association of the Perceived Stress Scale (PSS) and inflammatory markers in elite rowers. Eight rowers (males n = 4; females n = 4) were monitored over an 8-week training period, comprising 12 sessions each week and training an average 3.11 h·d-1. Training volume was periodized weekly while intensity was maintained throughout the study. Perceived stress was measured weekly pretraining, and capillary blood samples (500 μL) were taken post-training. Significant associations between perceived stress and cytokines interleukin-6 (p < .05) and tumor necrosis factor alpha (p < .05) were observed. While further investigation of the role of cytokines in the overtraining process is required, these data provide preliminary support for an association between perceived stress and the inflammatory responses to training.

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AIM: Despite heavy training requirements, triathlon is a sport that is rapidly increasing in popularity. Yet, there is limited research detailing the relationship between training, the incidence of injuries and illness, psychological stress, overtraining and athlete burnout amongst triathletes. Six hypotheses relating inter-individual differences to training factors were generated to evaluate change in self-reported measures of these negative health outcomes over a training year.

METHODS: Thirty, well-trained, triathletes (males n=20: age=27.1±9.1 years and females n=10: age=27.4±6.6 years) from a local triathlon club participated in this study. The study commenced during pre-season training, and involved weekly monitoring of each athlete until the end of the competitive season 45 weeks later. Linear Mixed Modelling was used for the analysis.

RESULTS: Signs and symptoms of injury and illness (SAS) were significantly associated with increases in training factors (P≤0.05); however, greatest impact on SAS was produced by psychological stressors (P≤0.001). Common symptoms of overtraining were significantly affected by increases in exposure to both training and psychological stressors (P≤0.05). Mood disturbance was not significantly affected by training factors (P>0.05) but rather increases in psychological stressors (P≤0.001). Finally, each of the three athlete burnout subscales were significantly affected by both psychological (P≤0.001) stressors as well as varying combinations of training factors (P≤0.05).

CONCLUSIONS: Exposure to stressors (either training or psychological) had significant effects on all negative health outcomes assessed.

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Perceptions of wellness are often used by athletes and coaches to assess adaptive responses to training. The purpose of this research was to describe how players were coping with the demands of elite level Australian football over a competitive season using subjective ratings of physical and psychological wellness and to assess the ecological validity of such a monitoring approach. Twenty-seven players completed ratings for 9 items (fatigue, general muscle, hamstring, quadriceps, pain/stiffness, power, sleep quality, stress, well-being). Players subjectively rated each item as they arrived at the training or competition venue on a 1–5 visual analog scale, with 1 representing the positive end of the continuum. A total of 2,583 questionnaires were analyzed from completions on 183 days throughout the season (92 ± 24 per player, 103 ± 20 per week; mean ± SD). Descriptive statistics and multilevel modelling were used to understand how player ratings of wellness varied over the season and during the week leading into game day and whether selected player characteristics moderated these relationships. Results indicated that subjective ratings of physical and psychological wellness were sensitive to weekly training manipulations (i.e., improve steadily throughout the week to a game day low, p < 0.001), to periods of unloading during the season (i.e., a week of no competition, p < 0.05) and to individual player characteristics (e.g., muscle strain after a game was poorer in players with high maximum speed, p < 0.01). It is concluded that self-reported player ratings of wellness provide a useful tool for coaches and practitioners to monitor player responses to the rigorous demands of training, competition, and life as a professional athlete.

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Abstract
Dancers are expected to maintain consistently high levels of performance capability and to perform on demand. To meet these expectations, they subject their bodies to long hours of intensive physical training. Such training regimens are often combined with tight rehearsal and performance schedules, which over time, can lead to persistent fatigue, psychological distress, performance decrements, and injury. A similar process has been observed as a consequence of high-intensity training in many different sports, and considerable sport-related research has been devoted to identifying the antecedents, the symptoms that are experienced, and the most cost-effective ways of monitoring symptom development. This paper presents a general heuristic framework for understanding this “training distress process” and discusses the framework with specific reference to dance.

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Monitoring athletic preparation facilitates the evaluation and adjustment of practices to optimize performance outcomes. Self-report measures such as questionnaires and diaries are suggested to be a simple and cost-effective approach to monitoring an athlete’s response to training, however their efficacy is dependent on how they are implemented and used. This study sought to identify the perceived factors influencing the implementation of athlete self-report measures (ASRM) in elite sport settings. Semi-structured interviews were conducted with athletes, coaches and sports science and medicine staff at a national sporting institute (n = 30). Interviewees represented 20 different sports programs and had varying experience with ASRM. Purported factors influencing the implementation of ASRM related to the measure itself (e.g., accessibility, timing of completion), and the social environment (e.g., buy-in, reinforcement). Social environmental factors included individual, inter-personal and organizational levels which is consistent with a social ecological framework. An adaptation of this framework was combined with the factors associated with the measure to illustrate the inter-relations and influence upon compliance, data accuracy and athletic outcomes. To improve implementation of ASRM and ultimately athletic outcomes, a multi-factorial and multi-level approach is needed.

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Athlete self-report measures (ASRM) are a common and cost-effective method of athlete monitoring. It is purported that ASRM be used to detect athletes at risk of overtraining, injury or illness, allowing intervention through training modification. However it is not known whether ASRM are actually being used for or are achieving these objectives in the applied sport setting. Therefore the aim of this study was to better understand how ASRM are being used in elite sports and their role in athletic preparation. Semi-structured interviews were conducted one-on-one with athletes, coaches and sports science and medicine staff (n=30) at a national sporting institute. Interview recordings were transcribed and analysed for emergent themes. Twelve day-to-day and seven longer-term practices were identified which contributed to a four-step process of ASRM use (record data, review data, contextualize, act). In addition to the purported uses, ASRM facilitated information disclosure and communication amongst athletes and staff and between staff, and improved the understanding and management of athlete preparation. These roles of ASRM are best achieved through engagement of athletes, coaches and support staff in the systematic, cyclic process.

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Altos desempenhos esportivos demandam treinamentos pesados necessários ao estímulo adaptativo específico a cada esporte. A elevada carga de treino é geralmente acompanhada de discreta fadiga e reduções agudas no desempenho, mas caso acompanhada de períodos apropriados de recuperação, resulta em supercompensação metabólica ao treinamento, refletida como aumento na capacidade aeróbica e/ou força muscular. Visto como contínuo, os processos de intensificação do treinamento e o estresse relacionado à supercompensação, o aumento da sobrecarga ou do estresse poderá, em algum momento, acarretar a quebra da homeostase e a queda temporária da função (supra-alcance - OR ou supra-alcance funcional - FOR). Quando a sobrecarga excessiva de treinamento é combinada com recuperação inadequada há instalação do estado de supratreinamento (OT) ou supra-alcance não funcional (NFOR). O OT excede o OR, cujo pico é também o limiar do OT resultando em desadaptações fisiológicas e queda crônica do desempenho físico. A forma crônica de desadaptação fisiológica ao treinamento físico é chamada de síndrome do supertreinamento (OTS). A própria expressão da síndrome denota a etiologia multifatorial do estado e reconhece que o exercício não é necessariamente seu único fator causal. O diagnóstico de OTS é baseado na recuperação ou não do desempenho. Não há biomarcador objetivo para OTS. A distinção entre OTS e NFOR (supratreinamento extremo) é dependente de desfecho clínico e exclusão diagnóstica de doenças orgânicas, mais comuns na OTS. Também a diferença entre OR e OT é sutil e nenhum de seus marcadores bioquímicos pode ser universalizado. Não há evidências confirmatórias que OR evolui para OT ou que os sintomas de OT são piores dos que os de OR. Apenas pela fadiga aguda e queda de rendimento experimentada em sessões isoladas de treinamento, não é possível diferenciar presentemente os estados de OR e OT. Isto é devido, parcialmente, à variabilidade das respostas individuais ao treinamento e à falta de ambos instrumentos diagnósticos e estudos bem controlados.

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The objective of this work was to present recommendations aiming the aerobic training optimization, from the knowledge of the indexes of functional fitness and their physiological mechanisms. Concerning highly trained athletes, the accuracy in training elaboration can be the safest way to improve aerobic performance, since for these individuals, it is normal that the training load is changeable between an insufficient stimulus and the overtraining syndrome symptoms onset. Therefore, there are several factors that should be taken into account for the elaboration of a training program. The knowledge on fatigue mechanisms and physiological responses at different exercise intensities and durations is essential for the correct training session elaboration. Moreover, high-intensity interval training is indispensable to improve performance in highly trained athletes; however, it should be performed only after adequate recovery period. Thus, a good relationship between coach and athlete is also important for planning suitable recovery periods prior to excessive fatigue. The coach should keep accurate records of training loads and recovery times, learning hence the kinds of loads that can be individually tolerated. Among the important factors that can affect aerobic performance during competition and should be considered, we can name appropriate warm-up planning and adverse environmental conditions. After collecting all this information, it is possible to elaborate the training bases (frequency, volume, intensity and recovery) aiming at progressive improvement of aerobic performance.