A biomechanical comparison of self-selected and experimentally controlled speeds and grip widths during the bench press exercise

Lee, Sang‐Woo; Cone, Simon; Kim, Sukbum

doi:10.1080/14763141.2020.1772357

Cited by 3 publications

(3 citation statements)

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“…The coaches of this cohort of swimmers (Tigg and Wright, personal communication, November 2022) explained that the results of this study could be attributed to reduced shoulder rotational range of motion, reliance on improper muscle groups for technique execution, and longer upper limb anthropometry. We did not have the abovementioned variables in our study, which could be confounding variables affecting our results, as these variables could affect stroking patterns [ 25 , 26 ], affecting overall swim performance, whilst such an effect would not be present in bench press performance or the barbell squat and deadlift [ 27 , 28 , 29 ], due to the unassessed variables discussed above. This study was intended to be an initial observational work.…”

Section: Discussionmentioning

confidence: 99%

Dryland Performance Tests Are Not Good Predictors of World Aquatics Points in Elite Male and Female Swimmers

Selvamoorthy,

Macgregor,

Donald

et al. 2024

Sports

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Background: Swim performance can be reliant on strength and power. Standardisation of swim performance in different events, distances, and sexes can be completed using World Aquatics points, allowing for ranking of swimmers. The aim of this retrospective cross-sectional study was to assess whether relationships between World Aquatics points and dryland markers of performance existed in male and female elite swimmers separately and combined. Methods: Dryland tests included Optojump® photoelectric cell countermovement jump, countermovement jump reach with a Vertec® system, standing broad jump using a tape measure, repetition maximum testing in the barbell back squat, barbell deadlift, and barbell bench press. Swim performance data and dryland test data on elite male (n = 38) and female (n = 20) Scottish swimmers from 2009–2017 were collected. Swim performance data were converted to World Aquatics federation points, and Bayesian linear regression analyses examined relationships between World Aquatics points and dryland performance tests: countermovement jump height (cm) using an Optojump® photoelectric cells system, countermovement jump height (cm) using a Vertec® device, standing broad jump distance (cm), relative strength (load lifted (kg) per kg of body mass) in the barbell bench press (kg/kg), barbell back squat (kg/kg), barbell deadlift (kg/kg). Results: The Bayesian estimates of change of World Aquatics points for a unit change in jump-based measures were: Optojump®—men = 0.6, women = 0.6, combined = 0.4; Vertec®—men = 4.3, women = −1.6, combined = 2.4; standing broad jump—men = 0, women = −0, combined = 0.4. Strength-based measures were: barbell back squat—men = 2.3, women = 22, combined = −2.5; barbell deadlift—men = −5; barbell bench press—men = 41.8. Conclusions: Dryland performance tests are not good predictors of World Aquatics points and should rather be used for assessing training quality and monitoring injury risks.

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Section: Discussionmentioning

confidence: 99%

Dryland Performance Tests Are Not Good Predictors of World Aquatics Points in Elite Male and Female Swimmers

Selvamoorthy,

Macgregor,

Donald

et al. 2024

Sports

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“…Technical features were investigated by eight (33.3%) studies involving non-disabled athlete populations [5,15,29,40,[46][47][48][49]. Two studies used correlation analysis to investigate a total of nine unique technical features, with no individual feature investigated by more than a single study (Table 4).…”

Section: Features Related To Bench Press One Repetition Maximum Perfo...mentioning

confidence: 99%

“…Two studies used correlation analysis to investigate a total of nine unique technical features, with no individual feature investigated by more than a single study (Table 4). Two studies examined differences in technical features using a between group design, with both studies reporting that optimum bench press 1RM occurs at about 200% of the biacromial distance [44,49]. Four studies included technical features in a regression model [15,29,40,47], namely, mean barbell velocity [15,29,40] and propulsive barbell velocity [47].…”

Section: Features Related To Bench Press One Repetition Maximum Perfo...mentioning

confidence: 99%

Important Features of Bench Press Performance in Non-Disabled and Para Athletes: A Scoping Review

Buhmann,

Sayers,

O'Brien

et al. 2024

Preprint

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Background: Understanding the features important for performance in non-disabled bench press and Paralympic powerlifting may help inform talent identification and transfer models. The aim of this scoping review was to describe features associated with bench press performance.Methods: We conducted a systematic search of three electronic databases (PubMed, SportDiscus and EMBASE) to identify studies involving non-disabled and Para athlete populations that investigated features related to bench press one-repetition maximum (1RM), across six domains. The domains were: anthropometric, body composition, technical, neuromuscular, demographic and disability. Studies using adult participants, with at least six-months of bench press experience, who were able to bench press their body mass were included. Narrative synthesis was used to describe the studies and features associated with bench press 1RM.Results: Thirty-two studies met our inclusion criteria. Twenty-four studies involved non-disabled athletes (total n = 2,686; 21.9% female) and eight involved Para athletes (total n = 2,364; 39.4% female). The included studies explored 111 unique features across the six domains. Anthropometric and body composition features were most studied, with about half of the 32 studies investigating features from only a single domain. Anthropometric features, such as arm circumference and body mass, shared the strongest associations with bench press 1RM. There was a primary reliance on bivariate correlation analysis (56% of studies), with few studies considering the uncertainty of their results. Practices of open and transparent science, such as pre-registration and data sharing, were absent. Conclusion: The development of bench press talent identification and sport transfer models will require future studies to investigate both non-training and training modifiable features, across multiple domains. Features should be combined using multivariable model approaches, that consider confounding and the potential for modifying effects. Large, longitudinal studies that use information from athlete monitoring databases are needed to better understand the specific features associated with bench press performance, and for the development of talent identification and sport transfer models.

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Important features of bench press performance in non-disabled and Para athletes: A scoping review

Buhmann,

Sayers,

O’Brien

et al. 2024

PLoS ONE

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Purpose Understanding important features for performance in non-disabled bench press and Paralympic powerlifting may inform talent identification and transfer models. The aim of this scoping review was to describe features associated with bench press performance. Methods We conducted a systematic search of three electronic databases (PubMed, SportDiscus and EMBASE) to identify studies involving non-disabled and Para athlete populations that investigated features related to bench press one-repetition maximum (1RM), across six domains (anthropometric, body composition, demographic, technical, disability and neuromuscular). Search terms included “resistance training”, “para powerlifting’ and “one repetition max”. No date restrictions were include in searches. Studies using adult participants, with at least six-months of bench press experience, who were able to bench press their body mass were included. Results Thirty-two studies met our inclusion criteria. Twenty-four studies involved non-disabled athletes (total n = 2,686; 21.9% female) and eight involved Para athletes (total n = 2,364; 39.4% female). Anthropometric (17 studies) and body composition (12 studies) features were most studied; half of the 32 studies investigated features from a single domain. Of anthropometric variables, upper arm circumference shared the strongest association with bench press 1RM in non-disabled (r = 0.87) and para-athletes (r = 0.65). Upper limb fat free mass (r = 0.91) and body mass index (r = 0.46) were the body composition variables sharing the strongest association with bench press 1RM in non-disabled and para-athletes. Few studies considering the uncertainty of their results. Practices of open and transparent science, such as pre-registration and data sharing, were absent. Conclusion The development of bench press talent identification and sport transfer models will require future studies to investigate both non-training and training modifiable features, across multiple domains. Large longitudinal studies using information from athlete monitoring databases and multivariable model approaches are needed to understand the interacting features associated with bench press performance, and for the development of talent identification models.

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A biomechanical comparison of self-selected and experimentally controlled speeds and grip widths during the bench press exercise

Cited by 3 publications

References 19 publications

Dryland Performance Tests Are Not Good Predictors of World Aquatics Points in Elite Male and Female Swimmers

Dryland Performance Tests Are Not Good Predictors of World Aquatics Points in Elite Male and Female Swimmers

Important Features of Bench Press Performance in Non-Disabled and Para Athletes: A Scoping Review

Important features of bench press performance in non-disabled and Para athletes: A scoping review

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