Dynamic Strength Index: Relationships with Common Performance Variables and Contextualization of Training Recommendations

Suchomel, Timothy J.; Sole, Christopher J.; Bellon, Christopher R.; Stone, Michael H.

doi:10.2478/hukin-2020-0014

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…Alternatively, the eccentric utilization ratio, which uses the performance from eccentric-concentric and concentriconly exercises (e.g., countermovement jump and the squat jump) in a ratio, could be useful in guiding practitioners as to whether athletes are effectively using the eccentric portion of a movement (47). However, it should be noted that the dynamic strength index and eccentric utilization ratio should be contextualized, with each subcomponent scrutinized (74,75). Consequently, practitioners and researchers should carefully consider whether the strategic combination of data can enhance testing outcomes.…”

Section: Simplify Comparison Datamentioning

confidence: 99%

Testing and Profiling Athletes: Recommendations for Test Selection, Implementation, and Maximizing Information

Weakley

Black²,

McLaren

et al. 2023

Strength &Amp; Conditioning Journal

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Understanding the physical qualities of athletes can lead to improved training prescription, monitoring, and ranking. Consequently, testing and profiling athletes is an important aspect of strength and conditioning. However, results can often be difficult to interpret because of the wide range of available tests and outcome variables, the diverse forms of technology used, and the varying levels of standardization implemented. Furthermore, physical qualities can easily be misrepresented without careful consideration if fundamental scientific principles are not followed. This review discusses how to develop impactful testing batteries so that practitioners can maximize their understanding of athletic development while helping to monitor changes in performance to better individualize and support training. It also provides recommendations on the selection of tests and their outcome measures; considerations for the proper interpretation, setup, and standardization of testing protocols; methods to maximize testing information; and techniques to enhance visualization and interpretation.

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Section: Simplify Comparison Datamentioning

confidence: 99%

Testing and Profiling Athletes: Recommendations for Test Selection, Implementation, and Maximizing Information

Weakley

Black²,

McLaren

et al. 2023

Strength &Amp; Conditioning Journal

Self Cite

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“…The CPPF is measured through countermovement jumps and presents the force generated at the highest velocity, whereas IMS is measured through isometric half-squats and presents the maximal force generated employing a larger motor unit recruitment (16,17). The information arising from these tests combined with DSI offers sports coaches and practitioners practical knowledge for elaborating interventions aiming at the improvement of strengthdependent capacities (18,19).…”

Section: Introductionmentioning

confidence: 99%

“…In this sense, it is of uttermost importance to understand the dynamics of each of these variables to prescribe more accurate hence effective training stimulus (25). Although there is a large amount of research showing distinct correlations between isometric and dynamic strength, less research has been done on how training affects the changes in each kind of strength (18,19). Previous research showed a wide range in the difference between isometric and dynamic strength improvements.…”

Section: Introductionmentioning

confidence: 99%

Comparison of force variables and dynamic strength index between age groups in elite young Brazilian football goalkeepers

Portella,

Jatene,

Da Silva

et al. 2024

Front. Sports Act. Living

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IntroductionThe application of muscle force is a determinant of football success as it is inherent to the motor control and sport. The aims of this study are: (1) to describe force variables Isometric Maximal Force (IMF), Concentric Peak Force (CPPF), and Dynamic Strength Index (DSI) in football goalkeepers from different age groups; (2) to compare these variables’ behavior between those groups.MethodsThe sample was formed by 19 youth players (15.97 ± 1.55 years old) from a first-division Brazilian football team. The CPPF and IMF variables were obtained through the Countermovement jump and isometric squat tests, respectively. For data collection, a force plate (Cefise, Brazil) was used with an acquisition frequency of 600 Hz and mono-axial. The DSI was calculated using the ratio between CPPF and IMF. For data analysis, the sample was separated into clusters by age. After the grouping, a descriptive analysis of the data and a comparison between the groups with p < 0.05.ResultsThe sample was grouped into three groups (GA, GB, and GC) and one of the individuals did not enter the group, totaling 18 individuals in the analyzed sample. The comparison between the ages of the groups showed a significant difference and small and moderate effect size (ES), validating the cluster strategy. The CPPF and IMF variables showed increased values according to chronological age. CPPF showed a significant difference between GA-GB, (ES = very large) GA-GC (ES = very large), and GB-GC (ES = moderate). The IMF variable had significant differences between GA-GB (ES = moderate) and GA-GC (ES = very large). However, DSI showed significant differences only between GA GB (ES = small) and GB-GC (ES = very large).ConclusionsThe CPPF and IMF variables had constant increases and distinct values with an increase according to age, and this did not occur for DSI. The difference between CPPF and IMF compared to DSI bring to light the variability in dynamics and proportionality between muscular force in the concentric phase and maximal force in the isometric regime during the developmental process over chronological age in soccer goalkeepers.

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“…The countermovement jump (CMJ) is one of the simplest and most prevalent performance tests used in practice and in research. It provides valuable information relating to general lower limb neuromuscular capabilities, which is highly useful for training assessment, prescription, and monitoring [ 1 , 2 ]. Specifically, jump height (JH) is one of the most measured and reported variables since it directly provides relevant information for sports in which jumping or reaching are required ( e.g.…”

Section: Introductionmentioning

confidence: 99%

Reactive strength index-modified: reliability, between group comparison, and relationship between its associated variables

Vieira¹,

Tufano²

2021

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To investigate and compare the reliability of reactive strength index-modified (RSImod) and its associated variables (jump height [JH] and [time to take-off]) 20 combat fighters and 18 physically active men participated in this study. They visited the laboratory three times; firstly, for jump familiarization and two sessions for test-retest (2–7 days apart). For both groups, the between-day changes in performance were trivial to small (≤ 1.1%). The coefficient of variation (CV) comparisons ( i.e . CV ratio) demonstrated that combat athletes had a lower test-retest variation for RSImod (0.87) and JH (0.80) than non-athletes. Combat athletes demonstrated a greater JH than physically active men (0.43 vs 0.37; p = 0.03, g = 0.73), but small and non-significant differences were observed for RSImod (0.60 vs 0.55; p = 0.24, g = 0.38) and TTT (0.70 vs 0.72; p = 0.32, g = 0.33). RSImod was more positively correlated with JH ( r = 0.75–0.87; p < 0.001) than negatively correlated with TTT ( r = 0.45–0.54; p < 0.001). This study suggests that RSImod is a reliable variable obtained during CMJ testing in combat athletes and physically active men, with scores being slightly better for combat athletes. In terms of performance, combat athletes jumped higher than physically active men, but no differences in RSImod or TTT were observed. Lastly, RSImod was more strongly related to JH than TTT, and this was more evident in athletes than nonathletes. This indicates that the combat athletes were able to better utilize their (equal) time spent jumping (higher), possibly via greater utilization of the stretch shortening cycle, faster or more optimal motor unit recruitment, or an array of other factors.

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Dynamic Strength Index: Relationships with Common Performance Variables and Contextualization of Training Recommendations

Cited by 8 publications

References 26 publications

Testing and Profiling Athletes: Recommendations for Test Selection, Implementation, and Maximizing Information

Testing and Profiling Athletes: Recommendations for Test Selection, Implementation, and Maximizing Information

Comparison of force variables and dynamic strength index between age groups in elite young Brazilian football goalkeepers

Reactive strength index-modified: reliability, between group comparison, and relationship between its associated variables

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