Get sleep or get stumped: sleep behaviour in elite South African cricket players during competition

McEwan, Kayla; Davy, Jonathan; Christie, Candice J.

doi:10.1080/02640414.2020.1776928

Cited by 3 publications

(13 citation statements)

References 31 publications

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“…Significant small to very large associations (e.g., correlations) or effects (e.g., causal relationships) of AROMs on match performance were found in 10 studies (14,19,28,33,37,38,46,49,52,55). Noticeably, the clearest findings regarded match-related statistics (Table 3), with 7 of 9 studies reporting significant findings.…”

Section: Discussionmentioning

confidence: 96%

“…This is a promising finding considering that these 7 studies found effects or associations of AROMs on key performance indicators of each the team sports considered (Australian football (10), basketball (24,27), and cricket (1)). In terms of magnitude, the major effects and associations of AROMs on match-related statistics were observed in basketball (37,55), cricket (38), and rugby union (14). In addition, small significant effects (e.g., causality) were found by Sansone et al (52) in basketball.…”

Section: Discussionmentioning

confidence: 99%

“…The most frequently monitored domains were perceived sleep quality (n 5 9) (3,12,19,25,28,29,32,38,49), stress (n 5 8) (3,12,19,25,29,38,49,55), and muscle soreness (n 5 7) (3,12,19,29,32,38,49), whereas 6 studies (3,12,19,29,32,49) also calculated composite scores of questionnaires made of multiple items (i.e., sum of single-item scores). Regarding the robustness of AROM tools, only 4 studies (37,38,48,55) implemented previously validated questionnaires, namely the Profile of Mood States (2,37), the Consensus Sleep Diary (9,38), Psychobiosocial states (4,48), and the Acute Recovery and Stress Scale (35,55), respectively. Eight of the remaining studies used well-being questionnaires (3,12,19,25,29,49) or recovery scales…”

Section: Study Characteristics and Findingsmentioning

confidence: 99%

“…Thus, 15 additional full texts were screened, and 1 was included in the review. Finally, 15 studies were included in this review (3,12,14,19,25,28,29,33,37,38,46,48,49,52,55). Table 2 presents the results of the quality assessment.…”

Section: Study Selection and Quality Assessmentmentioning

confidence: 99%

“…Performance variables assessed by the included studies included the following data. The most frequent performance domain assessed was match-related statistics (n 5 9) (14,25,37,38,46,48,49,52,55). Physical performance (external load) was assessed in 7 studies (3,12,19,28,29,32,49).…”

Section: Study Characteristics and Findingsmentioning

confidence: 99%

See 4 more Smart Citations

Relationship Between Athlete-Reported Outcome Measures and Subsequent Match Performance in Team Sports: A Systematic Review

Sansone,

Rago,

Kellmann

et al. 2023

Journal of Strength and Conditioning Research

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Sansone, P, Rago, V, Kellmann, M, and Alcaraz, PE. Relationship between athlete-reported outcome measures and subsequent match performance in team sports: A systematic review. J Strength Cond Res 37(11): 2302–2313, 2023—Athlete-reported outcome measures (AROMs; e.g., fatigue, stress, readiness, recovery, and sleep quality) are commonly implemented in team sports to monitor the athlete status. However, the relationship between AROMs and match performance indicators is unclear and warrants further investigation. This systematic review examined the relationship between precompetitive AROMs and subsequent match performances of team sport athletes. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 3 (PubMed, Scopus, and Web of Science) databases were systematically searched to retrieve studies investigating the effects or association of AROMs and match: (a) technical-tactical performance (match-related statistics), (b) physical performance, (c) physiological and (d) perceptual demands, and (e) other measures of performance in adult team sport athletes. Quality assessment of included studies was performed using a modified Black and Downs checklist. Fifteen articles representing 289 team sport athletes were included. Mean quality of included studies was 7.6 ± 1.0 (of 11). Across the included studies, 22 AROMs parameters were used, and 16 different statistical approaches were identified. Approximately 11 of 15 studies used nonvalidated AROMs. Overall, associations or effects of AROMs were found consistently for match-related statistics (7/9 studies), whereas results were unclear for physical performances (3/7 studies), perceptual demands (1/2 studies), or other measures of performance (2/4 studies). Considering the importance of key match-related statistics for success in team sports, this review suggests that monitoring precompetitive AROMs has potential to provide valuable information to coaches. However, it is indispensable to validate AROMs questionnaires and to uniform data collection and statistical procedures before substantiated indications to practitioners can be made.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Study Characteristics and Findingsmentioning

confidence: 99%

Section: Study Selection and Quality Assessmentmentioning

confidence: 99%

Section: Study Characteristics and Findingsmentioning

confidence: 99%

See 3 more Smart Citations

Relationship Between Athlete-Reported Outcome Measures and Subsequent Match Performance in Team Sports: A Systematic Review

Sansone,

Rago,

Kellmann

et al. 2023

Journal of Strength and Conditioning Research

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Causes of sleep deprivation in competative athletes: A scoping review

Pradzynska,

Rylands,

Canham

2024

Science & Sports

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Assessing athlete readiness using physical, physiological, and perceptual markers

Janetzki

Bourdon

Burgess

et al. 2023

sci. j. sport perform.

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This systematic review and meta-analysis evaluated the validity of tests / markers of athletic readiness to predict physical performance in elite team and individual sport athletes. Ovid MEDLINE, Embase, Emcare, Scopus and SPORT Discus databases were searched from inception until 15 March 2023. Included articles examined physiological and psychological tests / markers of athletic readiness prior to a physical performance measure. 165 studies were included in the systematic review and 27 studies included in the meta-analysis. 20 markers / tests of athletic readiness were identified, of which five were meta-analysed. Countermovement jump (CMJ) jump height had a large correlation with improved 10m sprint speed / time (r = 0.69; p = .00), but not maximal velocity (r = 0.46; p = .57). Non-significant correlations were observed for peak power (r = 0.13; p = .87) and jump height (r = 0.70; p = .17) from squat jump, and 10m sprint speed / time. CMJ jump height (r = 0.38; p = .41) and salivary cortisol (r = -0.01; p = .99) did not correlate with total distance. Sub-maximal exercise heart rate (r = -0.65; p = .47) and heart rate variability (r = 0.66; p = .31) did not correlate with Yo-Yo Intermittent Recovery Test 1 performance. No correlation was observed between blood C-reactive protein and competition load (r = 0.33; p = .89). CMJ jump height can predict sprint and acceleration qualities in elite athletes. The validity of the other readiness tests / markers meta-analysed warrants further investigation.

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Get sleep or get stumped: sleep behaviour in elite South African cricket players during competition

Cited by 3 publications

References 31 publications

Relationship Between Athlete-Reported Outcome Measures and Subsequent Match Performance in Team Sports: A Systematic Review

Relationship Between Athlete-Reported Outcome Measures and Subsequent Match Performance in Team Sports: A Systematic Review

Causes of sleep deprivation in competative athletes: A scoping review

Assessing athlete readiness using physical, physiological, and perceptual markers

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