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Eastward Jet Lag is Associated with Impaired Performance and Game Outcome in the National Basketball Association

Leota, Josh, Hoffman, Daniel, Czeisler, Mark É., Mascaro, Luis, Drummond, Sean P.A., Anderson, Clare, Rajaratnam, Shantha M.W., Facer-Childs, Elise R.·2022·Frontiers in Physiology

Abstract

Objectives: Elite athletes are often required to travel across time zones for national and international competitions, causing frequent jet lag. The aim of this study was to examine whether the direction of travel-related jet lag is associated with performance in the National Basketball Association (NBA), and if so, to explore potential mechanisms. Methods: Ten seasons comprising of 11,481 games of NBA data from the 2011/2012 to the 2020/2021 regular season were analyzed using multi-level mixed models with one fixed factor (three levels; jet lag direction: eastward vs westward vs no jet lag) and three random factors (team, opponent, game time). Predicted circadian resynchronization rate was accounted for, and home and away games were analysed separately. Mediation analyses were performed to examine potential mechanisms. Results: Among home teams, eastward (but not westward) jet lag was associated with reduced winning (Δ (i.e., change) = −6.03%, p = 0.051, marginal), points differential (Δ = −1.29 points, p = 0.015), rebound differential (Δ = −1.29 rebounds, p < 0.0001), and effective field goal percentage differential (Δ = −1.2%, p < 0.01). As the magnitude of eastward jet lag increased, home team points differential decreased (2 h Δ = −4.53 points, p < 0.05; 1 h Δ = −0.72 points, p = 0.07). No significant associations were found between jet lag and away team performance. Conclusion: Eastward jet lag was associated with impaired performance for home (but not away) teams. Sleep and circadian disruption associated with advancing phase following eastward travel may have significant adverse consequences on performance in the NBA, particularly when recovery time is limited. Sports organisations could consider chronobiology-informed scheduling and interventions to maximise recovery and performance of their athletes.

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Research works printed but not linked: 53

  1. Arnett, 2002, Effects of Prolonged and Reduced Warm-Ups on Diurnal Variation in Body Temperature and Swim Performance, J. Strength Cond. Res., 16, 256, 10.1519/1533-4287(2002)016<0256:eoparw>2.0.co;2 · DOI
  2. Aschoff, 1975, Re-entrainment of Circadian Rhythms after Phase-Shifts of the Zeitgeber, Chronobiologia, 2, 23
  3. Asher, 2015, Time for Food: The Intimate Interplay between Nutrition, Metabolism, and the Circadian Clock, Cell., 161, 84, 10.1016/j.cell.2015.03.015 · DOI · Paper page
  4. Atkinson, 1996, Circadian Variation in Sports Performance, Sports Med., 21, 292, 10.2165/00007256-199621040-00005 · DOI · Paper page
  5. Barnes, 2021, "The Best Recovery You Could Possibly Get": Sleep, Rest, and the National Basketball Association, Sociol. Sport J., 38, 16, 10.1123/ssj.2019-0111 · DOI
  6. Burgess, 2003, Preflight Adjustment to Eastward Travel:3 Days of Advancing Sleep with and without Morning Bright Light, J. Biol. Rhythms, 18, 318, 10.1177/0748730403253585 · DOI
  7. Burgess, 2010, Human Phase Response Curves to Three Days of Daily Melatonin: 0.5 mgVersus3.0 Mg, J. Clin. Endocrinol. Metabolism, 95, 3325, 10.1210/jc.2009-2590 · DOI · Paper page
  8. Burke, 2013, Combination of Light and Melatonin Time Cues for Phase Advancing the Human Circadian Clock, Sleep, 36, 1617, 10.5665/sleep.3110 · DOI
  9. Chapman, 2012, Detrimental Effects of West to East Transmeridian Flight on Jump Performance, Eur. J. Appl. Physiol., 112, 1663, 10.1007/s00421-011-2134-6 · DOI
  10. Clements, 2021, The Influence of Travel in the Home Advantage Effect, 118, 10.4324/9781003081456-14 · DOI
  11. Colquhoun, 1972, Aspects of Human Efficiency: Diurnal Rhythm and Loss of Sleep
  12. Drust, 2005, Circadian Rhythms in Sports Performance-An Update, Chronobiology Int., 22, 21, 10.1081/CBI-200041039 · DOI · Paper page
  13. Eastman, 2009, How to Travel the World without Jet Lag, Sleep. Med. Clin., 4, 241, 10.1016/j.jsmc.2009.02.006 · DOI
  14. Facer-Childs, 2015, The Impact of Circadian Phenotype and Time since Awakening on Diurnal Performance in Athletes, Curr. Biol., 25, 518, 10.1016/j.cub.2014.12.036 · DOI
  15. Facer-Childs, 2018, The Effects of Time of Day and Chronotype on Cognitive and Physical Performance in Healthy Volunteers, Sports Med. - Open, 4, 47, 10.1186/s40798-018-0162-z · DOI
  16. Fowler, 2017, Greater Effect of East versus West Travel on Jet Lag, Sleep, and Team Sport Performance, Med. Sci. Sports Exerc., 49, 2548, 10.1249/mss.0000000000001374 · DOI
  17. Fox, 2018, The Association between Training Load and Performance in Team Sports: A Systematic Review, Sports Med., 48, 2743, 10.1007/s40279-018-0982-5 · DOI
  18. Haislop, 2020, NBA Bubble, Explained: A Complete Guide to the Rules, Teams
  19. Harris, 2019, NBA Team Home Advantage: Identifying Key Factors Using an Artificial Neural Network, PLOS ONE, 14, e0220630, 10.1371/journal.pone.0220630 · DOI · Paper page
  20. Hoffman, 2020, Is Injury Associated with Team Performance in Elite Australian Football? 20 Years of Player Injury and Team Performance Data that Include Measures of Individual Player Value, Br. J. Sports Med., 54, 475, 10.1136/bjsports-2018-100029 · DOI
  21. Janse van Rensburg, 2020, How to Manage Travel Fatigue and Jet Lag in Athletes? A Systematic Review of Interventions, Br. J. Sports Med., 54, 960, 10.1136/bjsports-2019-101635 · DOI
  22. Janse van Rensburg, 2021, Managing Travel Fatigue and Jet Lag in Athletes: A Review and Consensus Statement, Sports Med., 51, 2029, 10.1007/s40279-021-01502-0 · DOI
  23. Jones, 2019, Association between Late-Night Tweeting and Next-Day Game Performance Among Professional Basketball Players, Sleep. Health, 5, 68, 10.1016/j.sleh.2018.09.005 · DOI
  24. Leatherwood, 2013, Effect of Airline Travel on Performance: a Review of the Literature, Br. J. Sports Med., 47, 561, 10.1136/bjsports-2012-091449 · DOI
  25. Leota, 2021, Home Is where the Hustle Is: The Influence of Crowds on Effort and Home Advantage in the National Basketball Association, SSRN J., 10.2139/ssrn.3898283 · DOI
  26. Lewis, 2018, Exercise Time Cues (Zeitgebers) for Human Circadian Systems Can Foster Health and Improve Performance: a Systematic Review, BMJ Open Sport Exerc Med., 4, e000443, 10.1136/bmjsem-2018-000443 · DOI
  27. Loat, 1989, Jet-Lag and Human Performance, Sports Med., 8, 226, 10.2165/00007256-198908040-00003 · DOI
  28. Manfredini, 1998, Circadian Rhythms, Athletic Performance, and Jet Lag, Br. J. Sports Med., 32, 101, 10.1136/bjsm.32.2.101 · DOI
  29. McHill, 2020, Utilizing the National Basketball Association's COVID-19 Restart "bubble" to Uncover the Impact of Travel and Circadian Disruption on Athletic Performance, Sci. Rep., 10, 21827, 10.1038/s41598-020-78901-2 · DOI · Paper page
  30. Nutting, 2017, Time Zones, Game Start Times, and Team Performance, J. Sports Econ., 18, 471, 10.1177/1527002515588136 · DOI
  31. Recht, 1995, Baseball Teams Beaten by Jet Lag, Nature, 377, 583, 10.1038/377583a0 · DOI
  32. Reilly, 2000, Exercise and Sport ScienceChronobiology and Physical Performance, 351
  33. Reilly, 2009, Sports Performance: Is There Evidence that the Body Clock Plays a Role?, Eur. J. Appl. Physiol., 106, 321, 10.1007/s00421-009-1066-x · DOI
  34. Ribeiro, 2016, The Advantage of Playing Home in NBA: Microscopic, Team-specific and Evolving Features, PLOS ONE, 11, e0152440, 10.1371/journal.pone.0152440 · DOI · Paper page
  35. Roach, 2019, Interventions to Minimize Jet Lag after Westward and Eastward Flight, Front. Physiol., 10, 1, 10.3389/fphys.2019.00927 · DOI
  36. Roenneberg, 2013, Light and the Human Circadian Clock, 311, 10.1007/978-3-642-25950-0_13 · DOI
  37. Roy, 2018, Greater Circadian Disadvantage during Evening Games for the National Basketball Association (NBA), National Hockey League (NHL) and National Football League (NFL) Teams Travelling Westward, J. Sleep. Res., 27, 86, 10.1111/jsr.12565 · DOI
  38. Seo, 2013, Morning and Evening Exercise, Integr. Med. Res., 2, 139, 10.1016/j.imr.2013.10.003 · DOI
  39. Simmons, 2022, Are Circadian Rhythms a New Frontier in Athletic Performance?, Curr. Sports Med. Rep., 21, 5, 10.1249/jsr.0000000000000929 · DOI
  40. Singh, 2021, Urgent Wake up Call for the National Basketball Association, J. Clin. Sleep Med., 17, 243, 10.5664/jcsm.8938 · DOI
  41. Song, 2017, How Jet Lag Impairs Major League Baseball Performance, Proc. Natl. Acad. Sci. U.S.A., 114, 1407, 10.1073/pnas.1608847114 · DOI
  42. 2017, Basketball-Reference.com - Basketball Statistics And History [Online]. Sports Reference LLC
  43. Stephan, 2002, The “Other” Circadian System: Food as a Zeitgeber, J. Biol. Rhythms, 17, 284, 10.1177/074873040201700402 · DOI · Paper page
  44. Takahashi, 1999, Re‐entrainment of Circadian Rhythm of Plasma Melatonin on an 8‐h Eastward Flight, Psychiatry Clin. Neurosci., 53, 257, 10.1046/j.1440-1819.1999.00537.x · DOI
  45. Tucker, 2012, What Makes Champions? A Review of the Relative Contribution of Genes and Training to Sporting Success, Br. J. Sports Med., 46, 555, 10.1136/bjsports-2011-090548 · DOI · Paper page
  46. Walsh, 2021, Sleep and the Athlete: Narrative Review and 2021 Expert Consensus Recommendations, Br. J. Sports Med., 55, 356, 10.1136/bjsports-2020-102025 · DOI · Paper page
  47. Waterhouse, 2002, Identifying Some Determinants of “Jet Lag” and its Symptoms: a Study of Athletes and Other Travellers, Br. J. Sports Med., 36, 54, 10.1136/bjsm.36.1.54 · DOI
  48. Waterhouse, 1997, Jet-lag, Lancet, 350, 1611, 10.1016/S0140-6736(97)07569-7 · DOI
  49. Wehrens, 2017, Meal Timing Regulates the Human Circadian System, Curr. Biol., 27, 1768, 10.1016/j.cub.2017.04.059 · DOI · Paper page
  50. White, 2014, The Contract Year Syndrome in the NBA and MLB: A Classic Undermining Pattern, Motiv. Emot., 38, 196, 10.1007/s11031-013-9389-7 · DOI · Paper page
  51. Winter, 2009, Measuring Circadian Advantage in Major League Baseball: A 10-Year Retrospective Study, Int. J. Sports Physiology Perform., 4, 394, 10.1123/ijspp.4.3.394 · DOI
  52. Worthen, 1999, Direction of Travel and Visiting Team Athletic Performance: Support for a Circadian Dysrhythmia Hypothesis, J. Sport Behav., 22, 279
  53. Zacharko, 2020, Direction of Travel of Time Zones Crossed and Results Achieved by Soccer Players. The Road from the 2018 FIFA World Cup to UEFA EURO 2020, Res. Sports Med., 30, 145, 10.1080/15438627.2020.1853545 · DOI

Cited by

Metadata

Authors
Leota, J., Hoffman, D., Czeisler, M. É., Mascaro, L., Drummond, S. P. A., Anderson, C., Rajaratnam, S. M. W., & Facer-Childs, E. R.
Venue
Frontiers in Physiology
Published
2022-06-16
Volume
13
ISSN
1664-042X
Cited by
27
References
5
Funders
  • Department of Industry, Innovation and Science, Australian Government (ICG000899 ICG001546)
  • Science and Industry Endowment Fund (SIEF Ross Metcalf STEM + Business Fellowship)

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