A Comparison of Dynamic Strength Index between Team-Sport Athletes

Thomas, Christopher R.; Dos’Santos, Thomas; Jones, Paul A.

doi:10.3390/sports5030071

Cited by 14 publications

(18 citation statements)

References 32 publications

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“…Although raw force-time data contains greater signal noise than smoothed data, it has been suggested in previous work that analyzing raw CMJ and IMTP force-time data is the criterion method [21,22]. Additionally, all other studies that have calculated the DSI have done so using raw CMJ and IMTP force-time data [13,14,15,16,17,18]. Thus, replicating previous methods in the present study allowed for fairer comparisons of DSI values (and its constituent parts) to these published sources.…”

Section: Methodsmentioning

confidence: 99%

“…The isometric mid-thigh pull (IMTP) is a commonly used method of assessing maximal isometric force production, likely due to its strong association with maximal dynamic force production and performance in numerous athletic tasks [9,10,11,12]. Interestingly, comparing peak force achieved during the CMJ and the IMTP has been suggested to provide insight into the training requirements of athletes by calculating the dynamic strength index (DSI) (CMJ PF/IMTP PF) [13,14,15,16,17,18].…”

Section: Introductionmentioning

confidence: 99%

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Changes in Dynamic Strength Index in Response to Strength Training

Comfort

Thomas

Dos’Santos

et al. 2018

Sports

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The primary aim of this investigation was to determine the effects of a four-week period of in-season strength training on the dynamic strength index (DSI). Pre and post a four-week period of strength-based training, twenty-four collegiate athletes (age = 19.9 ± 1.3 years; height = 1.70 ± 0.11 m; weight 68.1 ± 11.8 kg) performed three isometric mid-thigh pulls and countermovement jumps to permit the calculation of DSI. T-tests and Cohen’s effect sizes revealed a significant but small (p = 0.009, d = 0.50) decrease in DSI post-training (0.71 ± 0.13 N·N−1) compared to pre-training (0.65 ± 0.11 N·N−1); however, when divided into high and low DSI groups, differential responses were clear. The low DSI group exhibited no significant or meaningful (p = 1.000, d = 0.00) change in DSI pre to post-training (0.56 ± 0.05 N·N−1, 0.56 ± 0.09 N·N−1, respectively), whereas the high DSI group demonstrated a significant and large decrease (p = 0.034, d = 1.29) in DSI pre to post-training (0.85 ± 0.05 N·N−1, 0.74 ± 0.11 N·N−1, respectively), resulting in a significant and moderate difference (p = 0.034, d = 1.29) in the change in DSI between groups. These results demonstrate that DSI decreases in response to strength training, as expected, due to an increase in isometric mid-thigh pull peak force, with minimal change in dynamic (countermovement jump) peak force.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Changes in Dynamic Strength Index in Response to Strength Training

Comfort

Thomas

Dos’Santos

et al. 2018

Sports

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“…Rule changes in 2016 were designed to increase the match speed by providing playing 'advantage' and reducing the number of timeouts [18]. Such rules and the discrete skill set required [19], demand a unique set of physical qualities and mental skills from the players, particularly at the elite level [18,[20][21][22].…”

Section: Study Selectionmentioning

confidence: 99%

“…Thirty-seven studies have investigated the testing methods and physical characteristics of netball athletes (Supplementary Table S7), ranging from junior (n = 3) [4,125,126] to elite (n = 12) [18,48,49,[127][128][129][130][131][132][133][134][135] level. Twenty-two percent (n = 8) of studies specifically investigated the validity and/or the reliability of tests or testing outcomes [133][134][135][136][137][138][139][140] and 43% (n = 16) had a primary emphasis upon testing physical characteristics [16,18,20,50,125,[129][130][131][132][141][142][143][144][145][146][147], with an additional four studies quantifying anthropometric characteristics [49,51,148,149]. Finally, 24% (n = 9) of studies investigated the effects of different training interventions on changes in physical characteristics and performance…”

Section: Physical Qualitiesmentioning

confidence: 99%

The Applied Sports Science and Medicine of Netball: A Systematic Scoping Review

et al. 2021

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Background Netball is the one of the most popular women’s sports in the world. Since gaining professional status in 2008 there has been a rapid growth in research in the applied sports science and medicine of the sport. A scoping review of the area would provide practitioners and researchers with an overview of the current scientific literature to support on-court performance, player welfare and reduce injury. Objective The primary objective was to identify the current research on the applied sports science and medicine of netball. Additionally, the article provides a brief summary of the research in each topic of sports science and medicine in netball and identifies gaps in the current research. Methods Systematic searches of PubMed, SPORTDiscus, MEDLINE and CINAHL were undertaken from earliest record to Dec 2020 and reference lists were manually searched. The PRISMA-ScR protocol was followed. Studies were eligible for inclusion if they investigated netball as a sport or the applied sport science and medicine of netball athletes. Results 962 studies were identified in the initial search, 150 of which met the inclusion criteria. Injury was the most highly investigated sport science and medicine topic (n = 45), followed by physical qualities (n = 37), match characteristics (n = 24), biomechanics (n = 15), psychology (n = 13), fatigue and recovery (n = 9), training load (n = 4) and nutrition (n = 3). A range of cohorts were used from school to elite and international standards. All cohorts were female netballers, except for one study. A rapid growth in studies over recent years was demonstrated with 65% of studies published in the last decade. There still remains gaps in the literature, with a low evidence base for nutrition, training load and fatigue and recovery. Conclusion This scoping review summarises the current evidence base and key findings that can be used in practice to enhance the applied sport science and medical support to netball athletes across a range of playing standards, and support the growth of the sport. It is evident that netball as a sport is still under-researched.

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“…The DSI is calculated as the ratio of ballistic PF, usually assessed by a vertical jump, and isometric PF (Comfort et al, 2018a). Researchers have reported that DSI is reliable and can be assessed during both lower (McMahon et al, 2017;Thomas et al, 2017) and upper body (Young et al, 2014) exercises in athletes. Previous research indicated that DSI may different between collegiate athletic teams (Thomas et al, 2017) as well as those that possess unique CMJ temporal phase characteristics (McMahon et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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

Suchomel

Sole

Bellon

et al. 2020

Journal of Human Kinetics

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The purposes of this study were to examine the relationships between dynamic strength index (DSI) and other strength-power performance characteristics and to contextualize DSI scores using case study comparisons. 88 male and 67 female NCAA division I collegiate athletes performed countermovement jumps (CMJ) and isometric mid-thigh pulls (IMTP) during a pre-season testing session as part of a long-term athlete monitoring program. Spearman’s correlations were used to assess the relationships between DSI and CMJ peak force, height, modified reactive strength index, peak power and IMTP peak force and rate of force development (RFD). Very large relationships existed between DSI and IMTP peak force (r = -0.848 and -0.746), while small-moderate relationships existed between DSI and CMJ peak force (r = 0.297 and 0.313), height (r = 0.108 and 0.167), modified reactive strength index (r = 0.174 and 0.274), and IMTP RFD (r = -0.341 and -0.338) for men and women, respectively. Finally, relationships between DSI and CMJ peak power were trivial-small for male (r = 0.008) and female athletes (r = 0.191). Case study analyses revealed that despite similar DSI scores, each athlete’s percentile rankings for each variable and CMJ force-time characteristics were unique, which may suggest different training emphases are needed. Based on the explained variance, an athlete’s IMTP performance may have a larger influence on their DSI score compared to the CMJ. DSI scores should be contextualized using additional performance data to ensure each individual athlete receives the appropriate training stimulus during different training phases throughout the year.

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A Comparison of Dynamic Strength Index between Team-Sport Athletes

Cited by 14 publications

References 32 publications

Changes in Dynamic Strength Index in Response to Strength Training

Changes in Dynamic Strength Index in Response to Strength Training

The Applied Sports Science and Medicine of Netball: A Systematic Scoping Review

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

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