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BRIEF RESEARCH REPORT article

Front. Sports Act. Living, 30 July 2024
Sec. Elite Sports and Performance Enhancement
This article is part of the Research Topic Circadian Rhythm and Performance in Sports View all articles

Social jetlag affects jump skills in sub-elite volleyball players

  • 1Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
  • 2Faculty of Education, Free University of Bozen-Bolzano, Brixen-Bressanone, Italy
  • 3Division of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, United States

Social jetlag (SJL), resulting from misalignment between biological rhythms and social schedules, has emerged as a prevalent phenomenon in modern society, particularly among young athletes. However, the effect of SJL on performance is poorly studied. Jump and dynamic balance are two key skills in volleyball, as the first allows the player to perform better both during the offense and defense phase, and the second is fundamental in landing and in injury prevention. Therefore, our aim was to investigate the effect of SJL on jump skill performance and balance in female volleyball players. Thirty female volleyball players (mean age: 17.3 ± 0.88 years) participated in the study. SJL was assessed using the Munich ChronoType Questionnaire (MCTQ), integrated with Jankowsky's sleep-corrected formula. Jump skill performance was evaluated using a standardized jump test, the Vertec Jump Test, while balance was assessed with the Y Balance Test. The tests were performed at 09:00 a.m. and at 06:00 p.m. The results revealed that players with greater SJL exhibited decreased jump performance, characterized by lower vertical jump height (p = 0.02). Furthermore, players with lower SJL showed the typical difference between morning and afternoon performance (p = 0.001), demonstrating their synchronization between biological rhythms and social commitments, while no statistically significant difference between the two sessions was shown in players with higher SJL. Regarding balance, no significant association with SJL was found, but the morning session yielded lower results than the afternoon one (p = 0.01). These findings highlight the detrimental impact of SJL on jump skill performance, underscoring the importance of optimizing sleep-wake schedules and circadian alignment to enhance athletic performance. Future research should explore targeted interventions, such as sleep hygiene education, to minimize social jetlag and promote optimal performance in adolescent athletes.

1 Introduction

Social Jetlag (SJL) is the misalignment between biological and social clocks (1). It is mathematically calculated by comparing the mid-sleep phase of workdays and free days, and recently this formula was updated with a sleep-correction, including the sleep debt accumulated during the workdays (2). A person with a high SJL will manifest symptoms similar to sleep debt and jetlag, which are both factors which seem to influence athletic performance (3). Athletes often experience sleep problems such as insufficient sleep and insomnia, leading to excessive sleepiness, daytime dysfunction, and performance problems (4). They tend to take longer to fall asleep, spend more time awake, have reduced sleep efficiency, and experience greater sleep fragmentation (5). This condition can disrupt their biological and social rhythms, causing a circadian misalignment and SJL. Additionally, athletes face other chronobiological factors that contribute further to performance, such as the chronotype (CT) (6), a genetically determined predisposition influencing an individual's preference for activity times. Morning-types (M-types) prefer early activity and sleep times, Evening-types (E-types) prefer later activity and sleep times, and Neither-types (N-types) fall in between (7). The effects of sleep on performance and injury prevention are widely studied, as it seems that chronic poor sleep can decrease athletic performance (8, 9) and increase injury risk (10). Few studies investigated the effects of SJL on performance and injury risks, but it seems that it could impair balance (11) and raise injury risk (12). However, SJL is poorly studied in sports, although it may reasonably affect performance and injury risk by acting on the same physiological and psychological mechanisms as sleep.

Volleyball is a team sport involving short-duration maximal and explosive movements, many of which include vertical jumps during continuous offensive and defensive actions (13). Numerous studies highlight that good sleep quality is essential for better physical and emotional recovery in athletes. Andrade and colleagues (14) investigated the impact of sleep on volleyball performance and found that players with a poorer perception of their sleep quality experienced greater pre-match disturbance compared to those with good sleep quality. Insufficient sleep has also been linked to increased fatigue and tension during competitions. Scott and colleagues (15) reported an inverse relationship between sleep deprivation-induced fatigue and reaction time, which is a critical skill in volleyball. Moreover, volleyball is a sport with a high risk of injuries, and sleep alterations can generally reduce postural and dynamic motor control (16, 17), increase lapses in attention and mental fatigue (18, 19), lead to impulsivity and risk-taking behaviors (2022) and decrease several indices of sports performance, creating a condition that increases injury risk (2325). Therefore, promoting a good sleep schedule and regular circadian rhythms seem to be a key factor in optimizing performance and injury risk prevention in volleyball. The timing of athletic performance is another factor influencing outcomes, and CT seems to play an important role (2628). A recent study (13) tested volleyball players at 9 a.m. and 7 p.m. on short-duration maximal performances. Results indicated better neuromuscular performance in the evening session in terms of spike test without a jump, flexibility, dynamic balance, and agility, while there was no significant difference in vertical jump ability and isometric strength.

Currently, there is significant scientific evidence on the effects of sleep alterations on sports performance and specific motor skills but none on the effect of SJL. Moreover, volleyball players are a population poorly studied both in terms of sleep and SJL. Therefore, this study aims to investigate the effect of SJL on jump skill performance, which is a fundamental ability in volleyball, and balance, which is a key factor in injury prevention, in female volleyball players. Given the detrimental impact of SJL on circadian rhythms, we hypothesize that individuals with higher SJL will exhibit lower performance in both balance and vertical jump. Additionally, we anticipate that individuals with low SJL, who are more synchronized with societal schedules, will demonstrate the typical time-of-day effect, showing a difference in performance between morning and afternoon. Conversely, we do not expect this time-of-day performance variation in individuals with high SJL.

2 Materials and methods

2.1 Participants

For this study, a total of 30 female volleyball players (age = 17.3 ± 0.88 years) from two different sports clubs in the province of Milan were recruited. All participants were highly trained sub-elite players competing in national competitions (29), with a training schedule that included four weekly training sessions and a weekend match. Individuals with medical conditions that could affect jump performance, balance, sleep or circadian rhythms were excluded from this study. Informed consent was obtained from all participants prior to their involvement, and they were allowed to withdraw from the study at any time.

2.2 Assessment of social jetlag, sleep and chronotype

After a brief anamnesis, participants were asked to complete the Munich Chronotype Questionnaire (MCTQ) (30). The MCTQ is a validated self-report questionnaire designed to estimate an individual's circadian rhythm and sleep habits, including sleep timing on workdays and free days, sleep duration, CT and SJL. Then, SJL was corrected with Jankowski's sleep-corrected formula (2):

SJL = |sleep onset on free days| - |sleep onset on workday|

2.3 Assessment of jumping skill and balance

The physical tests were scheduled during the same week of the anamnesis and questionnaire completion. They were performed twice in two different sessions, at 09:00 a.m. and 06:00 p.m, and were always monitored by the same operator. All tests were preceded by a warm-up designed to increase body temperature and participants' attentiveness, including small jumps, running and mobility exercises to prepare the joints involved in jumping. Additionally, participants were given proper familiarization with the tests. Jumping skill was evaluated using the Vertec Jump Test (VJT) (31), a widely used method for assessing vertical jump performance. Participants performed a countermovement jump and touched the highest possible vane on the Vertec apparatus (Conquest OS 1032B, Italy). The height of the jump was recorded in centimetres. Participants were allowed to attempt the jump three times, with at least 3 min of rest in between each attempt. In another session, balance was assessed using the Y Balance Test (YBT) (32), a reliable and valid measure of dynamic balance and neuromuscular control. Participants performed the Y Balance Test according to standardized protocols, reaching as far as possible along three directions (anterior, posteromedial, and posterolateral) while maintaining a single-leg stance on a grid. Then, the Absolute Reach Distance was extrapolated from the mean of the three measures.

2.4 Statistical analysis

The statistical analysis was performed according to the main aim of the study, i.e., investigating the effects of SJL on performance in the morning and the afternoon. Descriptive statistics (mean ± S.E.) were calculated for all variables of interest. The normality of the distribution of the data was assessed by Shapiro-Wilk Test. The Levene's Test was used to evaluate the homogeneity of variance of the data.

The sample size was calculated using GPower software (version 3.1.9.7). Considering the repeated measures ANOVA analysis, an effect size of 0.04 with a power of 0.95, an α error of 0.05, a confidence interval of 95%, two groups and two timepoints measurements, the software suggested a sample size of 24 participants. To account for potential dropouts and incomplete data for some participants, we recruited 30 subjects, surpassing the sample sizes suggested by the software.

Pearson correlation analysis was performed to examine the relationship between social jetlag, jump skill, and balance. Participants were categorized according to their SJL in two groups: all those who had a SJL above one hour (33) were considered people with high SJL (HSJL), while all the others were considered people with low SJL (LSJL). Repeated Measures ANOVA was used to compare HSJL and LSJL in the two sessions. Also, comparisons and correlations regarding sleep and chronotype were done Statistical significance was set at p < 0.05. The analysis was performed using SPSS Statistics version 29 (IBM SPSS Statistics for Windows, Armonk, NY, USA: IBM Corp).

2.5 Ethical approval

The study was carried out in accordance with the tenets of the 1964 Declaration of Helsinki and approved by the Ethical Review Board of the University of Milan in the September 2022 session, number 82/22.

3 Results

The total sample (n = 30; age = 17.3 ± 0.88 years; BMI = 25.01 ± 0.51 kg/m2; weight = 62.33 ± 1.6 kg; height = 1.7 ± 0.01 m) was categorized according to SJL (HSJL = 18; LSJL = 12). As previously said, the cut-off used to distinguish the two groups was one hour. Regarding the chronotype, 10 subjects were categorized as E-types, 3 as M-types and 17 as N-types. Table 1 displays the descriptive statistics of the whole sample and the two groups, as well as all the results of the tests in the two sessions.

Table 1
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Table 1 Descriptive statistics of the sample.

In the within group comparisons, when including all participants and comparing the results of the VJT, the afternoon session yielded higher results than the morning session (df = 1; η2 = 0.29; F = 11.68; p = 0.002). Moreover, LSJL performed better in the afternoon session than in the morning session (df = 1; η2 = 0.4; F = 18.89; p < 0.001), while no statistically significant differences emerged in the HSJL group (Figure 1).

Figure 1
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Figure 1 Comparisons between LSJL and HSJL in the two sessions of the VJT. In the comparison within group, LSJL performed better in the afternoon, while no difference was shown in HSJL. In the comparison between group, in the afternoon session LSJL performed better than HSJL. Considering the mean of the two sessions, LSJL performed better than HSJL. Considering the whole sample, the afternoon session showed greater results.

In the between group comparisons, considering the average of the results of the two sessions and comparing HSJL and LSJL, the former performed worse than the latter in the VJT (df = 1; η2 = 0.18; F = 5.95; p = 0.02)(Figure 1). Moreover, in the afternoon session, HSJL performed worse than LSJL (df = 1; η2 = 0.23; F = 8.31; p = 0.007), while in the morning session, no statistically significant differences emerged between the two groups, (Figure 1).

Comparing the two groups in the two sessions in the YBT, a statistically significant difference emerged in the comparison between morning and afternoon sessions including the whole sample (df = 1; η2 = 0.19; F = 6.63; p = 0.01), while comparing HSJL and LSJL no differences were shown (Figure 2).

Figure 2
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Figure 2 Comparisons between LSJL and HSJL in the YBT. No significant differences were found either between or within group. A statistically significant difference was observed when comparing the whole sample in the two sessions, with better results in the afternoon.

No significance was found in the correlations and comparisons related to sleep, jump skill, balance and chronotype.

4 Discussion

The aim of this study was to evaluate the effects of SJL on balance and jumping skills in volleyball players in the morning and in late afternoon. To better characterize the sample and to strengthen the analysis, CT and sleep were also taken into account.

Our results indicate that both the VJT and YBT tests showed better performance in the afternoon session compared to the morning session, regardless of social jetlag. This outcome was expected, as many performance determinants, such as body temperature and hormonal secretion, follow a circadian rhythm, defining the peak of performance in the afternoon, according to the time-of-day effect (34). However, the novel findings emerged from the comparisons between LSJL and HSJL and within the groups across the two sessions. Specifically, in the overall mean of the two VJT sessions, HSJL performed worse than LSJL, indicating a significant impact of SJL on jumping skills. Moreover, the afternoon session for VJT highlighted a difference between the two groups, with LSJL performing better. Few studies in the literature have investigated the effect of SJL on performance (11, 12). The effects of SJL on physiology are linked to factors common to sleep restriction/deprivation and shift work (1). Consequently, we expected these results, as sleep impairments can decrease performance by affecting thermoregulation and hormonal responses (35). However, more detailed analyses of biochemical markers and hormone concentrations are needed to elucidate this relationship.

Although the difference might seem small, as LSJL had a mean jump of 2.70 cm while HSJL of 2.58, it must be considered that a difference of 12 cm can heavily affect both offensive and defensive phases in volleyball, potentially impacting the final outcome of a volleyball match. In contrast, the effect of SJL seemed lower in the morning, as no statistically significant difference between the two groups was found in either test. These results are consistent with previous ones on the effect of sleep on performance, since it seems that the greatest effect of sleep impairment is observed in the afternoon (26, 34), probably because of the altered cortisol secretion (36).

Another important finding is related to the effect of time of day within the two groups. LSJL showed the typical difference between morning and afternoon performance in VJT, demonstrating synchronization between biological rhythms and social commitments and the consequent peak of performance in the afternoon, while no statistically significant difference between the two sessions was shown in HSJL.

Surprisingly, no significant difference between the two groups was found in YBT. These findings disagree with the current scientific literature reporting that postural control is altered with sleep deprivation (37, 38). In particular, sleep deprivation leads to deficits in various bodily functions (39), connected to disturbances in the circadian rhythms (17) which may affect neuronal and muscular functions, critical determinants of balance (40). We speculate that in our study there is no difference in balance skill between the two groups because generally volleyball players prioritize jump training over balance training, reducing the risk of deviation from reality in the former, while the latter is less considered and more susceptible to variations. Moreover, although not statistically significant, a slight difference between the two groups was observed. Perhaps, a larger sample size might have revealed stronger results in this test as well.

No significant results were found in the comparisons related to CT, probably due to the heterogeneity of the groups (only 3 M-types compared to 10 E- and 17 N-types).

4.1 Limitations of the study

This study has some limitations. Firstly, although field tests closely resemble the actual performance required by players, their accuracy and precision are often operator-dependent, which may have introduced errors in the measurements. Additionally, our sample is small and consists solely of young females, making it difficult to generalize the results to a broader population. Furthermore, SJL was assessed using a questionnaire; employing a more objective method might have yielded more reliable results.

5 Conclusion

It appears that the impact of SJL on exercise physiology is akin to that of sleep debt and training out of synchrony, affecting areas such as metabolism, temperature regulation, and psychological factors, which can potentially lead to decreased performance. Although the role of SJL in health is becoming more studied, few investigations have focused on its effects on physical performance. Our findings highlight how SJL can affect jump skills in volleyball players. Future research should explore its impact on other skills and sports, utilizing lab tests and objective evaluation methods. Additionally, studies investigating the physiological and biochemical pathways regulating this response may clarify the reasons behind these findings. In conclusion, coaches and trainers should recognize the importance of maintaining regular circadian rhythms and precise sleep schedules to optimize performance and reduce the risk of injury.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Ethical Review Board of the University of Milan in September 2022 session, number 82/22. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.

Author contributions

AC: Formal Analysis, Investigation, Methodology, Writing – original draft, Data curation. LC: Investigation, Writing – review & editing, Formal Analysis. LG: Formal Analysis, Investigation, Writing – review & editing, Methodology. AM: Data curation, Formal Analysis, Writing – review & editing. FE: Project administration, Supervision, Writing – review & editing. ER: Conceptualization, Project administration, Supervision, Writing – review & editing. AM: Conceptualization, Project administration, Supervision, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article.

The authors acknowledge support from the University of Milan through the APC initiative.

Acknowledgments

The authors thank Claudia Piroli for her important contribution in the data collection.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Wittmann M, Dinich J, Merrow M, Roenneberg T. Social jetlag: misalignment of biological and social time. Chronobiol Int. (2006) 23(1–2):497–509. doi: 10.1080/07420520500545979

PubMed Abstract | Crossref Full Text | Google Scholar

2. Jankowski KS. Social jet lag: sleep-corrected formula. Chronobiol Int. (2017) 34(4):531–5. doi: 10.1080/07420528.2017.1299162

PubMed Abstract | Crossref Full Text | Google Scholar

3. Malhotra RK. Sleep, recovery, and performance in sports. Neurol Clin. (2017) 35:547–57. doi: 10.1016/j.ncl.2017.03.002

PubMed Abstract | Crossref Full Text | Google Scholar

4. Bender AM, Van Dongen HPA, Samuels CH. Sleep quality and chronotype differences between elite athletes and non-athlete controls. Clocks Sleep. (2019) 1(1):3–12. doi: 10.3390/clockssleep1010002

PubMed Abstract | Crossref Full Text | Google Scholar

5. Leeder J, Glaister M, Pizzoferro K, Dawson J, Pedlar C. Sleep duration and quality in elite athletes measured using wristwatch actigraphy. J Sports Sci. (2012) 30(6):541–5. doi: 10.1080/02640414.2012.660188

PubMed Abstract | Crossref Full Text | Google Scholar

6. Adan A, Archer SN, Hidalgo MP, Di Milia L, Natale V, Randler C. Circadian typology: a comprehensive review. Chronobiol Int. (2012) 29:1153–75. doi: 10.3109/07420528.2012.719971

PubMed Abstract | Crossref Full Text | Google Scholar

7. Castelli L, Galasso L, Mulè A, Ciorciari A, Esposito F, Roveda E, et al. Physical activity and morningness: a helpful combination in improving the sleep quality of active Italian university students. Chronobiol Int. (2023) 40(8):1028–38. doi: 10.1080/07420528.2023.2241906

PubMed Abstract | Crossref Full Text | Google Scholar

8. Bender AM, Lambing KA. A practical guide to improve sleep and performance in athletes. Int J Sports Sci Coach. (2024) 19:476–87. doi: 10.1177/17479541231201105

Crossref Full Text | Google Scholar

9. Nedelec M, Aloulou A, Duforez F, Meyer T, Dupont G. The variability of sleep among elite athletes. Sports Medicine—Open. (2018) 4(1):34. doi: 10.1186/s40798-018-0151-2

PubMed Abstract | Crossref Full Text | Google Scholar

10. Huang K, Ihm J. Sleep and Injury Risk. (2021). Available online at: http://journals.lww.com/acsm-csmr

Google Scholar

11. Umemura GS, Pinho JP, da Silva Brandão Gonçalves B, Furtado F, Forner-Cordero A. Social jetlag impairs balance control. Sci Rep. (2018) 8(1):9406. doi: 10.1038/s41598-018-27730-5

PubMed Abstract | Crossref Full Text | Google Scholar

12. McGinnis GR, Thompson ST, Aguilar CD, Dial MB, Tandy RD, Radzak KN. Chronotype and social jetlag influence performance and injury during reserve officers’ training corps physical training. Int J Environ Res Public Health. (2022) 19(20):13644. doi: 10.3390/ijerph192013644

PubMed Abstract | Crossref Full Text | Google Scholar

13. Martín-López J, Sedliak M, Valadés D, Muñoz A, Buffet-García J, García-Oviedo R, et al. Impact of time-of-day and chronotype on neuromuscular performance in semi-professional female volleyball players. Chronobiol Int. (2022) 39(7):1006–14. doi: 10.1080/07420528.2022.2057322

PubMed Abstract | Crossref Full Text | Google Scholar

14. Andrade A, Bevilacqua GG, Coimbra DR, Pereira FS, Brandt R. Sleep quality, mood and performance: a study of elite Brazilian volleyball athletes. J Sports Sci Med. (2016) 15(4):601–5. PMCID: PMC5131213.27928205

PubMed Abstract | Google Scholar

15. Scott JPR, McNaughton LR, Polman RCJ. Effects of sleep deprivation and exercise on cognitive, motor performance and mood. Physiol Behav. (2006) 87(2):396–408. doi: 10.1016/j.physbeh.2005.11.009

PubMed Abstract | Crossref Full Text | Google Scholar

16. Ma J, Yao YJ, Ma RM, Li JQ, Wang T, Li XJ, et al. Effects of sleep deprivation on human postural control, subjective fatigue assessment and psychomotor performance. J Int Med Res. (2009) 37(5):1311–20. doi: 10.1177/147323000903700506

PubMed Abstract | Crossref Full Text | Google Scholar

17. Furtado F, Gonçalves BDSB, Abranches ILL, Abrantes AF, Forner-Cordero A. Chronic low quality sleep impairs postural control in healthy adults. PLoS One. (2016) 11(10):e0163310. doi: 10.1371/journal.pone.0163310

PubMed Abstract | Crossref Full Text | Google Scholar

18. Renn RP, Cote KA. Performance monitoring following total sleep deprivation: effects of task type and error rate. Int J Psychophysiol. (2013) 88(1):64–73. doi: 10.1016/j.ijpsycho.2013.01.013

PubMed Abstract | Crossref Full Text | Google Scholar

19. Smith CD, Cooper AD, Merullo DJ, Cohen BS, Heaton KJ, Claro PJ, et al. Sleep restriction and cognitive load affect performance on a simulated marksmanship task. J Sleep Res. (2019) 28(3):e12637. doi: 10.1111/jsr.12637

PubMed Abstract | Crossref Full Text | Google Scholar

20. Anderson C, Platten CR. Sleep deprivation lowers inhibition and enhances impulsivity to negative stimuli. Behav Brain Res. (2011) 217(2):463–6. doi: 10.1016/j.bbr.2010.09.020

PubMed Abstract | Crossref Full Text | Google Scholar

21. Palagini L, Moretto U, Novi M, Masci I, Caruso D, Drake CL, et al. Lack of resilience is related to stress-related sleep reactivity, hyperarousal, and emotion dysregulation in insomnia disorder. J Clin Sleep Med. (2018) 14(5):759–66. doi: 10.5664/jcsm.7100

PubMed Abstract | Crossref Full Text | Google Scholar

22. Short MA, Weber N. Sleep duration and risk-taking in adolescents: a systematic review and meta-analysis. Sleep Med Rev. (2018) 41:185–96. doi: 10.1016/j.smrv.2018.03.006

PubMed Abstract | Crossref Full Text | Google Scholar

23. Charest J, Grandner MA. Sleep and athletic performance: impacts on physical performance, mental performance, injury risk and recovery, and mental health: an update. Sleep Med Clin. (2022) 17:263–82. doi: 10.1016/j.jsmc.2022.03.006

PubMed Abstract | Crossref Full Text | Google Scholar

24. Milewski MD, Skaggs DL, Bishop GA, Pace JL, Ibrahim DA, Wren TAL, et al. Chronic lack of sleep is associated with increased sports injuries in adolescent athletes. J Pediatr Orthop. (2014) 34(2):129–33. doi: 10.1097/BPO.0000000000000151

PubMed Abstract | Crossref Full Text | Google Scholar

25. von Rosen P, Frohm A, Kottorp A, Fridén C, Heijne A. Multiple factors explain injury risk in adolescent elite athletes: applying a biopsychosocial perspective. Scand J Med Sci Sports. (2017) 27(12):2059–69. doi: 10.1111/sms.12855

PubMed Abstract | Crossref Full Text | Google Scholar

26. Facer-Childs ER, Boiling S, Balanos GM. The effects of time of day and chronotype on cognitive and physical performance in healthy volunteers. Sports Med Open. (2018) 4(1):47. doi: 10.1186/s40798-018-0162-z

PubMed Abstract | Crossref Full Text | Google Scholar

27. Russo L, D’Eramo U, Padulo J, Foti C, Schiffer R, Scoppa F. Day-time effect on postural stability in young sportsmen. Muscles Ligaments Tendons J. (2015) 5(1):38–42. doi: 10.32098/mltj.01.2015.08

PubMed Abstract | Crossref Full Text | Google Scholar

28. Douglas CM, Hesketh SJ, Esser KA. Time of day and muscle strength: a circadian output? Physiology. (2021) 36:44–51. doi: 10.1152/physiol.00030.2020

PubMed Abstract | Crossref Full Text | Google Scholar

29. McKay AKA, Stellingwerff T, Smith ES, Martin DT, Mujika I, Goosey-Tolfrey VL, et al. Defining training and performance caliber: a participant classification framework. Int J Sports Physiol Perform. (2022) 17(2):317–31. doi: 10.1123/ijspp.2021-0451

PubMed Abstract | Crossref Full Text | Google Scholar

30. Roenneberg T, Wirz-Justice A, Merrow M. Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythms. (2003) 18(1):80–90. doi: 10.1177/0748730402239679

PubMed Abstract | Crossref Full Text | Google Scholar

31. Buckthorpe M, Morris J, Folland JP. Validity of vertical jump measurement devices. J Sports Sci. (2012 Jan) 30(1):63–9. doi: 10.1080/02640414.2011.624539

PubMed Abstract | Crossref Full Text | Google Scholar

32. Plisky P, Schwartkopf-Phifer K, Huebner B, Garner MB, Bullock G. Systematic review and meta-analysis of the y-balance test lower quarter: reliability, discriminant validity, and predictive validity. Int J Sports Phys Ther. (2021) 16(5):1190–209. doi: 10.26603/001c.27634

PubMed Abstract | Crossref Full Text | Google Scholar

33. Roenneberg T, Pilz LK, Zerbini G, Winnebeck EC. Chronotype and social jetlag: a (self-) critical review. Biology (Basel). (2019) 8(3):54. doi: 10.3390/biology8030054

PubMed Abstract | Crossref Full Text | Google Scholar

34. Nelson RJ, Bumgarner JR, Walker WH, DeVries AC. Time-of-day as a critical biological variable. Neurosci Biobehav Rev. (2021) 127:740–6. doi: 10.1016/j.neubiorev.2021.05.017

PubMed Abstract | Crossref Full Text | Google Scholar

35. Ciorciari A, Mulè A, Castelli L, Galasso L, Esposito F, Roveda E, et al. Sleep and chronotype influence aerobic performance in young soccer players. Front Physiol. (2023) 14:1190956. doi: 10.3389/fphys.2023.1190956

PubMed Abstract | Crossref Full Text | Google Scholar

36. Fullagar HH, Skorski S, Duffield R, Hammes D, Coutts AJ, Meyer T. Sleep and athletic performance: the effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise. Sports Med. (2015) 45(2):161–86. doi: 10.1007/s40279-014-0260-0

PubMed Abstract | Crossref Full Text | Google Scholar

37. Crewther BT, Cook C, Cardinale M, Weatherby RP, Lowe T. Two emerging concepts for elite athletes: the short-term effects of testosterone and cortisol on the neuromuscular system and the doseresponse training role of these endogenous hormones. Sports Med. (2011) 41:103–23. doi: 10.2165/11539170-000000000-00000

PubMed Abstract | Crossref Full Text | Google Scholar

38. Umemura GS, Furtado F, dos Santos FC, da Silva Brandão Gonçalves B, Forner-Cordero A. is balance control affected by sleep deprivation? A systematic review of the impact of sleep on the control of balance. Front. Neurosci. (2022) 16:779086. doi: 10.3389/fnins.2022.779086

PubMed Abstract | Crossref Full Text | Google Scholar

39. Kirshner D, Spiegelhalder K, Shahar RT, Shochat T, Agmon M. The association between objective measurements of sleep quality and postural control in adults: a systematic review. Sleep Med Rev. (2022) 63:101633. doi: 10.1016/j.smrv.2022.101633

PubMed Abstract | Crossref Full Text | Google Scholar

40. Fallone G, Acebo C, Arnedt JT, Seifer R, Carskadon MA. Effects of acute sleep restriction on behavior, sustained attention, and response inhibition in children. Percept Motor Skills. (2001) 93(1):213–29. doi: 10.2466/pms.2001.93.1.213

PubMed Abstract | Crossref Full Text | Google Scholar

41. Tanwar T, Veqarl Z, Ghrouz AK, Spence DW, Pandi-Perumal SR. Is poor sleep quality associated with a deterioration in postural control? Sleep Sci. (2021) 14(3):207–13. doi: 10.5935/1984-0063.20200061

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: social jetlag, performance, volleyball, circadian rhythm, sport

Citation: Ciorciari A, Castelli L, Galasso L, Mulè A, Esposito F, Roveda E and Montaruli A (2024) Social jetlag affects jump skills in sub-elite volleyball players. Front. Sports Act. Living 6: 1443804. doi: 10.3389/fspor.2024.1443804

Received: 4 June 2024; Accepted: 18 July 2024;
Published: 30 July 2024.

Edited by:

Özgür Eken, Inonu University, Türkiye

Reviewed by:

Ahmet Kurtoğlu, Bandirma Onyedi Eylül University, Türkiye
Ramazan Bayer, Malatya Turgut Özal University, Türkiye

© 2024 Ciorciari, Castelli, Galasso, Mulè, Esposito, Roveda and Montaruli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Letizia Galasso, bGV0aXppYS5nYWxhc3NvQHVuaW1pLml0

These authors share last authorship

ORCID:
Andrea Ciorciari
orcid.org/0000-0003-0448-6223
Lucia Castelli
orcid.org/0000-0002-7701-9733
Letizia Galasso
orcid.org/0000-0002-5344-4014
Antonino Mulè
orcid.org/0000-0002-2324-6375
Fabio Esposito
orcid.org/0000-0002-4420-2611
Eliana Roveda
orcid.org/0000-0003-2092-3999
Angela Montaruli
orcid.org/0000-0003-4296-066X

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