Inter-Limb Jump Asymmetries and Their Association with Sport-Specific Performance in Young Male and Female Swimmers

Phukan, Max I.; Thapa, Rohit K.; Kumar, Gopal; Bishop, Chris; Chaabène, Hélmi; Ramírez‐Campillo, Rodrigo

doi:10.3390/ijerph18147324

Cited by 8 publications

(20 citation statements)

References 32 publications

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“…From these, only 1 verified significant negative correlation ( r −0.70 to −0.83) between asymmetries and swimming performance (expressed as takeoff velocity from the block) (23). The other 3 studies did not show significant correlations between asymmetries and swimming velocity, 50- and 25-m front crawl time, or 50- and 25-m kick time (62,65,66).…”

Section: Resultsmentioning

confidence: 90%

“…In addition, given that asymmetry is a ratio number (i.e., made up of 2 parts), establishing the direction of an asymmetry (i.e., dominance) provides additional context as to how each limb is performing and can be advantageous (10). Among the studies analyzed in this review, only one investigated the individual direction of asymmetry and reported the coefficient of variation, using it to interpret the values of asymmetry (62). The authors verified that although the coefficient of variation values were acceptable (<10%), less than 50% of the tested athletes presented asymmetry scores above the coefficient of variation, indicating no “real” between-limb differences in over half of the sample (62).…”

Section: Discussionmentioning

confidence: 99%

“…Among the studies analyzed in this review, only one investigated the individual direction of asymmetry and reported the coefficient of variation, using it to interpret the values of asymmetry (62). The authors verified that although the coefficient of variation values were acceptable (<10%), less than 50% of the tested athletes presented asymmetry scores above the coefficient of variation, indicating no “real” between-limb differences in over half of the sample (62).…”

Section: Discussionmentioning

confidence: 99%

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Interlimb Asymmetries in Swimming and Their Impact on Performance: Evidence From a Scoping Review

Knihs¹,

Bishop

Zimmermann

et al. 2023

Strength &Amp; Conditioning Journal

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The objectives of this review were to (a) map the studies analyzing bilateral asymmetries in specific (in-water tests) and nonspecific (dry-land tests) swimming contexts and (b) investigate the effects of interlimb asymmetries on swimming performance. Searches were systematically conducted on 4 databases. Of 768 studies examined, 60 were eligible for the final selection (https://osf.io/46gya). Twenty-eight studies analyzed asymmetries during in-water tests, with asymmetry values ranging from 2.7 to 60.0%, and most studies (n = 18) reported significant between-limb differences (p < 0.05). Asymmetries were also analyzed during dry-land tests in 24 studies, with asymmetry values ranging from 1.1 to 16.6%. Interestingly, most of these studies (n = 12) did not verify any significant between-limb differences (p > 0.05). Eight studies measured asymmetries in both contexts and reported asymmetry values from −24.1–17.4%, with 4 studies finding significant differences between body sides (p < 0.05). Seven of the 60 studies selected investigated the relationship between asymmetries and swimming performance, with 5 reporting no meaningful associations. In conclusion, significant asymmetries in swimming are more evident during in-water than during dry-land tests. In addition, the few studies investigating asymmetries' influence on swimming performance reported that asymmetries rarely impact swimming performance.

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Section: Resultsmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Interlimb Asymmetries in Swimming and Their Impact on Performance: Evidence From a Scoping Review

Knihs¹,

Bishop

Zimmermann

et al. 2023

Strength &Amp; Conditioning Journal

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“…In fact, muscle strength and power (e.g. jumping from the starting block and flip turns in swimmers) play a relevant role in competitive performance [13][14][15]. For example, up to large associations (r = 0.40 to 0.70) have been reported between 20-and 50-m front crawl swimming performance and mean propulsive power in jump squat [16], leg extension strength [17], and horizontal jump distance [18].…”

Section: Introductionmentioning

confidence: 99%

Effects of Plyometric Jump Training on Measures of Physical Fitness and Sport-Specific Performance of Water Sports Athletes: A Systematic Review with Meta-analysis

et al. 2022

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Background A growing body of literature is available regarding the effects of plyometric jump training (PJT) on measures of physical fitness (PF) and sport-specific performance (SSP) in-water sports athletes (WSA, i.e. those competing in sports that are practiced on [e.g. rowing] or in [e.g. swimming; water polo] water). Indeed, incoherent findings have been observed across individual studies making it difficult to provide the scientific community and coaches with consistent evidence. As such, a comprehensive systematic literature search should be conducted to clarify the existent evidence, identify the major gaps in the literature, and offer recommendations for future studies. Aim To examine the effects of PJT compared with active/specific-active controls on the PF (one-repetition maximum back squat strength, squat jump height, countermovement jump height, horizontal jump distance, body mass, fat mass, thigh girth) and SSP (in-water vertical jump, in-water agility, time trial) outcomes in WSA, through a systematic review with meta-analysis of randomized and non-randomized controlled studies. Methods The electronic databases PubMed, Scopus, and Web of Science were searched up to January 2022. According to the PICOS approach, the eligibility criteria were: (population) healthy WSA; (intervention) PJT interventions involving unilateral and/or bilateral jumps, and a minimal duration of ≥ 3 weeks; (comparator) active (i.e. standard sports training) or specific-active (i.e. alternative training intervention) control group(s); (outcome) at least one measure of PF (e.g. jump height) and/or SSP (e.g. time trial) before and after training; and (study design) multi-groups randomized and non-randomized controlled trials. The Physiotherapy Evidence Database (PEDro) scale was used to assess the methodological quality of the included studies. The DerSimonian and Laird random-effects model was used to compute the meta-analyses, reporting effect sizes (ES, i.e. Hedges’ g) with 95% confidence intervals (95% CIs). Statistical significance was set at p ≤ 0.05. Certainty or confidence in the body of evidence for each outcome was assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE), considering its five dimensions: risk of bias in studies, indirectness, inconsistency, imprecision, and risk of publication bias. Results A total of 11,028 studies were identified with 26 considered eligible for inclusion. The median PEDro score across the included studies was 5.5 (moderate-to-high methodological quality). The included studies involved a total of 618 WSA of both sexes (330 participants in the intervention groups [31 groups] and 288 participants in the control groups [26 groups]), aged between 10 and 26 years, and from different sports disciplines such as swimming, triathlon, rowing, artistic swimming, and water polo. The duration of the training programmes in the intervention and control groups ranged from 4 to 36 weeks. The results of the meta-analysis indicated no effects of PJT compared to control conditions (including specific-active controls) for in-water vertical jump or agility (ES = − 0.15 to 0.03; p = 0.477 to 0.899), or for body mass, fat mass, and thigh girth (ES = 0.06 to 0.15; p = 0.452 to 0.841). In terms of measures of PF, moderate-to-large effects were noted in favour of the PJT groups compared to the control groups (including specific-active control groups) for one-repetition maximum back squat strength, horizontal jump distance, squat jump height, and countermovement jump height (ES = 0.67 to 1.47; p = 0.041 to < 0.001), in addition to a small effect noted in favour of the PJT for SSP time-trial speed (ES = 0.42; p = 0.005). Certainty of evidence across the included studies varied from very low-to-moderate. Conclusions PJT is more effective to improve measures of PF and SSP in WSA compared to control conditions involving traditional sport-specific training as well as alternative training interventions (e.g. resistance training). It is worth noting that the present findings are derived from 26 studies of moderate-to-high methodological quality, low-to-moderate impact of heterogeneity, and very low-to-moderate certainty of evidence based on GRADE. Trial registration The protocol for this systematic review with meta-analysis was published in the Open Science platform (OSF) on January 23, 2022, under the registration doi https://doi.org/10.17605/OSF.IO/NWHS3 (internet archive link: https://archive.org/details/osf-registrations-nwhs3-v1).

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“…Child height is an important indicator of human capital and human development (Alves Junior et al, 2021). Health is the beginning of life for humans (Phukan et al, 2021;Sulaiman et al, 2020). Nutrition received by the body can shape the child's height and provide health (Vyas et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Observation of children's age to predict maximum height

Purnama¹,

Hidayatullah²,

Umar³

et al. 2023

jhse

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The ideal height is one of the things that people in Indonesia and around the world want. This study aims to formulate guidelines for predicting the maximum height of men and women. The method used in this research is descriptive. This study observed the growth and development of height for girls aged 0-18 years and boys aged 0-19 years. This research was conducted in the city of Surakarta, Central Java, Indonesia. The research sample was obtained from Posyandu, PAUD, SD, SMP, and SMA. Data were collected by observing the respondent's height. Data analysis used the Miles and Huberman model, namely data reduction, data tabulation, data presentation, and concluding. Measurements for predicting a child's height can be done by considering weight and age percentage. The results showed that predicting a child's height could be done by considering the percentage of weight and age. Every year the growth of the child's height will increase according to the age of growth. Therefore, child height growth data can predict the maximum height of children at the age of 18 years for girls and 19 years for boys. Furthermore, the child height prediction method can be applied to determine the child's height in the future.

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Inter-Limb Jump Asymmetries and Their Association with Sport-Specific Performance in Young Male and Female Swimmers

Cited by 8 publications

References 32 publications

Interlimb Asymmetries in Swimming and Their Impact on Performance: Evidence From a Scoping Review

Interlimb Asymmetries in Swimming and Their Impact on Performance: Evidence From a Scoping Review

Effects of Plyometric Jump Training on Measures of Physical Fitness and Sport-Specific Performance of Water Sports Athletes: A Systematic Review with Meta-analysis

Observation of children's age to predict maximum height

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