No description available.

Introduction: Conceptually, it is important to understand the underlying physiological mechanisms of any training program model. This understanding aids the coach/sport scientist in making better choices in manipulating variables in formulating the training model. These underlying mechanisms can be associated with training variable manipulation, fatigue management aspects and the overall health of the athlete. Hormone and cytokine concentrations can be linked to alterations resulting from the manipulation of training variables and to subsequent alterations in performance. For example, alterations in the testosterone: cortisol ratio (T:C) has been associated with alterations in training volume as well as physiological aspects such as lean body mass, fat content and strength/power performance. Although cytokine production is part of the adaptive process, markedly increased/excessive cytokine production has been related poor fatigue management and over training. Purpose: The purpose of this study was to investigate the alterations and relationships among training variables, and physiological variables. Subjects: Nine (9) D-1 collegiate throwers and 4 control subjects participated in the study. Methods: The throwers participated in an 11- week periodized resistance training and throws program. Volume load was recorded throughout the study. Hormone (testosterone and cortisol (C), and adipokine (adiponectin, leptin, and resistin) measurements were taken at weeks 1, 7, and 11 for the throwers. Results: Hormone values did not exhibit statistically significant changes across time; however, there were trends across time for C, the T:C ratio and adiponectin. Conclusions: Based on the hormonal and adipokine data, it appears that the training program produced some positive effects. These effects indicate a reasonable degree of fatigue management in that C decreased and the T:C ratio was increased as volume load decreased. Literature supports the idea that increases in adiponectin may be a positive outcome of a sound training protocol (Smith et al., 2000). The present observation indicates that adiponectin increased in concert with decreases in C and increases in the T:C. ratio. Considering the effects of these hormones and cytokines, these alterations over time indicate a lesser degree of obesity related inflammation and a higher degree of “fitness” and preparedness

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Abstract available in theJournal of Strength and Conditioning Research

No description available.

Conceptually, it is important to understand the underlying physiological mechanisms of any training program model. This understanding aids the coach/sport scientist in making better choices in manipulating variables in formulating the training model. These underlying mechanisms can be associated with training variable manipulation and fatigue management aspects as well as the overall health of the athlete. Hormone and cytokine concentrations can be linked to alterations resulting from the manipulation of training variables and to subsequent alterations in performance (Haff et al., 2008; Ishigaki et al., 2005; Jurimae et al., 2010; Stone et al., 2007). For example, alterations in the testosterone: cortisol ratio (T:C) has been associated with alterations in training volume as well as physiological aspects such as lean body mass (LBM), fat content and strength/power performance (Haff et al., 2008; Häkkinen, 1989; Stone et al., 2007). Although cytokine production is part of the adaptive process, markedly increased/excessive cytokine production has been related poor fatigue management and over training (Angeli et al., 2004; Jurimae et al., 2010; Smith, 2000). The present study followed NCAA division 1 (D-1) collegiate throwers over a period of an 11 week fall semester preparation-phase block form of periodized training. Volume and intensity alterations and their effects on physiological variables (e.g. neuromuscular, hormonal, cytokine) are a key component in understanding the effects of a training process. Alterations in these physiological variables were tracked over time in Division-1 collegiate throwers.

Abstract available in the Journal of Strength and Conditioning Research

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Cytokine and hormone concentrations can be linked to the manipulation of training variables and to subsequent alterations in performance. Subjects: Nine D-1 collegiate throwers and 4 control subjects participated in this preliminary and exploratory report. Methods: Hormone (testosterone (T) and cortisol (C)) and adipokine (adiponectin, leptin, and resistin) measurements were taken at weeks 1, 7, and 11 for the throwers and weeks 1 and 11 for the control group. The throwers participated in an 11-week periodized resistance training and throws program during the fall preparatory period. Volume load was recorded throughout the study. Results: Hormone values did not exhibit statistically significant changes across time; however, there were notable changes for C, the testosterone to cortisol ratio (T:C), and adiponectin. Conclusions: T:C was increased as volume load decreased, and adiponectin increased in concert with decreases in C and increases in the T:C, possibly suggesting a lesser degree of obesity-related inflammation and a higher degree of “fitness” and preparedness.

Aim. Bone changes in size and density in response to different levels of stress. Alterations to bone mineral density (BMD) appear to occur in a site specific manner. Even though BMD has been examined in many populations there is a paucity of data looking at strength-power athletes, such as throwers. Therefore, the purpose of this study was to examine the BMD of a group of USA Division I collegiate throwers (e.g. shot put, discus, etc.). Methods. Seven throwers (4 males; 3 females) who were 19.0 ± 0.9 years had their BMD compared to an age matched control group (n=14; 8 women and 6 men) and normative data. BMD was measured with dual X-ray absorptometry. Potential right/left side and sex difference in BMD were also examined. Maximal isometric strength was assessed using a mid-thigh pull while standing on a forceplate which generated force-time curves. Peak force (PF) and normalized peak force (PFa) were then correlated with BMDs. Results. Generally, throwers had denser bones with male throwers tending to have a greater total BMD (Ps<0.05). The dominant arm BMD was slightly greater when compared to non-dominant arm (P≤0.05). Furthermore, total body BMD was related to PF (r=0.68, r2 =0.46) and PFa (r=0.56, r2=0.31). Conlcusion. Throwers have greater BMDs than non-athletes and most other athletes. However, throwers only showed a small indication of sidedness. It is likely that the BMDs observed in this study stem from the training intervention (e.g. whole body heavy lifting) undertaken by this population.

The purpose of this study was to investigate the alterations and relationships among training variables, performance variables, and physiological variables. Nine (9) D-1 collegiate throwers and 4 control subjects participated in the study. The throwers participated in an 11-week periodized resistance training and throws program. Volume load was recorded throughout the study. Measurements of maximal strength (isometric mid-thigh pull), vertical jumping ability, dynamic mid-thigh pulls (across a spectrum of loads), hormones (testosterone and cortisol), and adipokines (adiponectin, leptin, and resistin) were taken at weeks 1, 7, and 11. The throwers demonstrated several statistically significant alterations over time for performance variables. The throwers realized increases across time in maximum strength and peak power output. Hormone values did not exhibit statistically significant changes across time; however, there were trends across time for cortisol, the testosterone:cortisol ratio and adiponectin. These alterations would indicate a more anabolic environment and less obesity associated inflammation.