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Cited by 63

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Sleep-Related Issues for Recovery and Performance in Athletes

Kölling, Sarah, Duffield, Rob, Erlacher, Daniel, Venter, Ranel, Halson, Shona L.·2019·International Journal of Sports Physiology and Performance

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Crossref · 10.1123/ijspp.2017-0746

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Research works printed but not linked: 98

  1. Kölling, 2016, The longer the better: sleep-wake patterns during preparation of the World Rowing Junior Championships, Chronobiol Int, 33, 73, 10.3109/07420528.2015.1118384 · DOI
  2. Carskadon, 2011, Principles and Practice of Sleep Medicine, 16, 10.1016/B978-1-4160-6645-3.00002-5 · DOI · Paper page
  3. Fuller, 2017, Software thresholds alter the bias of actigraphy for monitoring sleep in team-sport athletes, J Sci Med Sport, 20, 756, 10.1016/j.jsams.2016.11.021 · DOI
  4. Swinbourne, 2016, Prevalence of poor sleep quality, sleepiness and obstructive sleep apnoea risk factors in athletes, Eur J Sport Sci, 16, 850, 10.1080/17461391.2015.1120781 · DOI
  5. Reilly, 2007, Coping with jet-lag: a position statement for the European College of Sport Science, Eur J Sport Sci, 7, 1, 10.1080/17461390701216823 · DOI
  6. Richmond, 2007, The effect of interstate travel on the sleep patterns and performance of elite Australian Rules footballers, J Sci Med Sport, 10, 252, 10.1016/j.jsams.2007.03.002 · DOI
  7. Heidari, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 3
  8. Nédélec, 2015, Sleep hygiene and recovery strategies in elite soccer players, Sports Med, 45, 1547, 10.1007/s40279-015-0377-9 · DOI
  9. Nédélec, 2015, Sleep hygiene and recovery strategies in elite soccer players, Sports Med, 45, 1547, 10.1007/s40279-015-0377-9 · DOI
  10. Caia, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 151
  11. Whitworth-Turner, 2017, A shower before bedtime may improve the sleep onset latency of youth soccer players, Eur J Sport Sci, 17, 1119, 10.1080/17461391.2017.1346147 · DOI
  12. Kamdar, 2004, The impact of extended sleep on daytime alertness, vigilance, and mood, Sleep Med, 5, 441, 10.1016/j.sleep.2004.05.003 · DOI
  13. Simpson, 2017, Optimizing sleep to maximize performance: implications and recommendations for elite athletes, Scand J Med Sci Sports, 27, 266, 10.1111/sms.12703 · DOI · Paper page
  14. Kölling, 2016, Comparing subjective with objective sleep parameters via multisensory actigraphy in German physical education students, Behav Sleep Med, 14, 389, 10.1080/15402002.2015.1017096 · DOI
  15. Taylor, 2016, Sleep medication and athletic performance—the evidence for practitioners and future research directions, Front Physiol, 7, 83, 10.3389/fphys.2016.00083 · DOI
  16. Saling, 2016, Are you awake? Mobile phone use after lights out, Comput Human Behav, 64, 932, 10.1016/j.chb.2016.08.006 · DOI
  17. Erlacher, 2004, Dreams reflecting waking sport activities: a comparison of sport and psychology students, Int J Sport Psychol, 35, 301
  18. Waterhouse, 2004, The stress of travel, J Sports Sci, 22, 946, 10.1080/02640410400000264 · DOI
  19. Whitworth-Turner, 2017, A shower before bedtime may improve the sleep onset latency of youth soccer players, Eur J Sport Sci, 17, 1119, 10.1080/17461391.2017.1346147 · DOI
  20. Sargent, 2014, The impact of training schedules on the sleep and fatigue of elite athletes, Chronobiol Int, 31, 1160, 10.3109/07420528.2014.957306 · DOI · Paper page
  21. Schwartz, 2015, Sleep extension improves serving accuracy: a study with college varsity tennis players, Physiol Behav, 151, 541, 10.1016/j.physbeh.2015.08.035 · DOI
  22. Irish, 2015, The role of sleep hygiene in promoting public health: a review of empirical evidence, Sleep Med Rev, 22, 23, 10.1016/j.smrv.2014.10.001 · DOI · Paper page
  23. Fullagar, 2015, Sleep and athletic performance: the effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise, Sports Med, 45, 161, 10.1007/s40279-014-0260-0 · DOI · Paper page
  24. Sargent, 2016, The validity of activity monitors for measuring sleep in elite athletes, J Sci Med Sport, 19, 848, 10.1016/j.jsams.2015.12.007 · DOI
  25. Fullagar, 2016, Time to wake up: individualising the approach to sleep promotion interventions, Br J Sports Med, 50, 143, 10.1136/bjsports-2015-095759 · DOI
  26. Duffield, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 183
  27. Brandt, 2017, Perceived sleep quality, mood states, and their relationship with performance among Brazilian elite athletes during a competitive period, J Strength Cond Res, 31, 1033, 10.1519/JSC.0000000000001551 · DOI
  28. Richmond, 2007, The effect of interstate travel on the sleep patterns and performance of elite Australian Rules footballers, J Sci Med Sport, 10, 252, 10.1016/j.jsams.2007.03.002 · DOI
  29. Mah, 2011, The effects of sleep extension on the athletic performance on collegiate basketball players, Sleep, 34, 943, 10.5665/SLEEP.1132 · DOI · Paper page
  30. Saling, 2016, Are you awake? Mobile phone use after lights out, Comput Human Behav, 64, 932, 10.1016/j.chb.2016.08.006 · DOI
  31. Hausswirth, 2014, Evidence of disturbed sleep and increased illness in overreached endurance athletes, Med Sci Sports Exerc, 46, 1036, 10.1249/MSS.0000000000000177 · DOI · Paper page
  32. Lastella, 2015, Sleep/wake behaviours of elite athletes from individual and team sports, Eur J Sport Sci, 15, 94, 10.1080/17461391.2014.932016 · DOI · Paper page
  33. Van Ryswyk, 2017, A novel sleep optimisation programme to improve athletes’ well-being and performance, Eur J Sport Sci, 17, 144, 10.1080/17461391.2016.1221470 · DOI
  34. Kräuchi, 2007, The thermophysiological cascade leading to sleep initiation in relation to phase of entrainment, Sleep Med Rev, 11, 439, 10.1016/j.smrv.2007.07.001 · DOI · Paper page
  35. Van Ryswyk, 2017, A novel sleep optimisation programme to improve athletes’ well-being and performance, Eur J Sport Sci, 17, 144, 10.1080/17461391.2016.1221470 · DOI
  36. Schwartz, 2015, Sleep extension improves serving accuracy: a study with college varsity tennis players, Physiol Behav, 151, 541, 10.1016/j.physbeh.2015.08.035 · DOI
  37. Zhao, 2012, Red light and the sleep quality and endurance performance of Chinese female basketball players, J Athl Train, 47, 673, 10.4085/1062-6050-47.6.08 · DOI
  38. Petit, 2014, A 20-min nap in athletes changes subsequent sleep architecture but does not alter physical performance after normal sleep or 5-h phase-advance conditions, Eur J Appl Physiol, 114, 305, 10.1007/s00421-013-2776-7 · DOI
  39. Silva, 2016, Poor precompetitive sleep habits, nutrients’ deficiencies, inappropriate body composition and athletic performance in elite gymnasts, Eur J Sport Sci, 16, 726, 10.1080/17461391.2015.1103316 · DOI · Paper page
  40. Juliff, 2015, Understanding sleep disturbance in athletes prior to important competitions, J Sci Med Sport, 18, 13, 10.1016/j.jsams.2014.02.007 · DOI · Paper page
  41. Erlacher, 2011, Frequency of nightmares and gender significantly predict distressing dreams of German athletes before competitions or games, J Psychol, 145, 331, 10.1080/00223980.2011.574166 · DOI
  42. Lastella, 2015, Sleep/wake behaviours of elite athletes from individual and team sports, Eur J Sport Sci, 15, 94, 10.1080/17461391.2014.932016 · DOI · Paper page
  43. Carskadon, 2011, Principles and Practice of Sleep Medicine, 16, 10.1016/B978-1-4160-6645-3.00002-5 · DOI · Paper page
  44. Kölling, 2016, Sleep in sports: a short summary of alterations in sleep/wake patterns and the effects of sleep loss and jet-lag, Dtsch Z Sportmed, 67, 35, 10.5960/dzsm.2016.215 · DOI
  45. Sargent, 2014, Sleep or swim? Early-morning training severely restricts the amount of sleep obtained by elite swimmers, Eur J Sport Sci, 14, S310, 10.1080/17461391.2012.696711 · DOI · Paper page
  46. Heidari, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 3
  47. Fietze, 2009, Sleep quality in professional ballet dancers, Chronobiol Int, 26, 1249, 10.3109/07420520903221319 · DOI
  48. Juliff, 2015, Understanding sleep disturbance in athletes prior to important competitions, J Sci Med Sport, 18, 13, 10.1016/j.jsams.2014.02.007 · DOI · Paper page
  49. Exelmans, 2016, Bedtime mobile phone use and sleep in adults, Soc Sci Med, 148, 93, 10.1016/j.socscimed.2015.11.037 · DOI · Paper page
  50. Gupta, 2017, Does elite sport degrade sleep quality? A: a systematic review, Sports Med, 47, 1317, 10.1007/s40279-016-0650-6 · DOI · Paper page
  51. Reilly, 2007, Coping with jet-lag: a position statement for the European College of Sport Science, Eur J Sport Sci, 7, 1, 10.1080/17461390701216823 · DOI
  52. Fowler, 2016, Effects of long-haul transmeridian travel on subjective jet-lag and self-reported sleep and upper respiratory symptoms in professional rugby league players, Int J Sports Physiol Perform, 11, 876, 10.1123/ijspp.2015-0542 · DOI
  53. Fullagar, 2015, Sleep and athletic performance: the effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise, Sports Med, 45, 161, 10.1007/s40279-014-0260-0 · DOI · Paper page
  54. Kölling, 2016, The longer the better: sleep-wake patterns during preparation of the World Rowing Junior Championships, Chronobiol Int, 33, 73, 10.3109/07420528.2015.1118384 · DOI
  55. Petit, 2014, A 20-min nap in athletes changes subsequent sleep architecture but does not alter physical performance after normal sleep or 5-h phase-advance conditions, Eur J Appl Physiol, 114, 305, 10.1007/s00421-013-2776-7 · DOI
  56. Mah, 2011, The effects of sleep extension on the athletic performance on collegiate basketball players, Sleep, 34, 943, 10.5665/SLEEP.1132 · DOI · Paper page
  57. Milner, 2009, Benefits of napping in healthy adults: impact of nap length, time of day, age, and experience with napping, J Sleep Res, 18, 272, 10.1111/j.1365-2869.2008.00718.x · DOI · Paper page
  58. Milner, 2009, Benefits of napping in healthy adults: impact of nap length, time of day, age, and experience with napping, J Sleep Res, 18, 272, 10.1111/j.1365-2869.2008.00718.x · DOI · Paper page
  59. Heidari, 2018, Multidimensional monitoring of recovery status and implications for performance, Int J Sports Physiol Perform, 15, 1
  60. Erlacher, 2011, Frequency of nightmares and gender significantly predict distressing dreams of German athletes before competitions or games, J Psychol, 145, 331, 10.1080/00223980.2011.574166 · DOI
  61. Silva, 2016, Poor precompetitive sleep habits, nutrients’ deficiencies, inappropriate body composition and athletic performance in elite gymnasts, Eur J Sport Sci, 16, 726, 10.1080/17461391.2015.1103316 · DOI · Paper page
  62. Erlacher, 2011, Sleep habits in German athletes before important competitions or games, J Sports Sci, 29, 859, 10.1080/02640414.2011.565782 · DOI · Paper page
  63. Kellmann, 2018, Recovery and performance in sport: consensus statement, Int J Sports Physiol Perform, 13, 240, 10.1123/ijspp.2017-0759 · DOI · Paper page
  64. Swinbourne, 2016, Prevalence of poor sleep quality, sleepiness and obstructive sleep apnoea risk factors in athletes, Eur J Sport Sci, 16, 850, 10.1080/17461391.2015.1120781 · DOI
  65. Heidari, 2018, Multidimensional monitoring of recovery status and implications for performance, Int J Sports Physiol Perform, 15, 1
  66. Waterhouse, 2007, The role of a short post-lunch nap in improving cognitive, motor, and sprint performance in participants with partial sleep deprivation, J Sports Sci, 25, 1557, 10.1080/02640410701244983 · DOI
  67. Exelmans, 2016, Bedtime mobile phone use and sleep in adults, Soc Sci Med, 148, 93, 10.1016/j.socscimed.2015.11.037 · DOI · Paper page
  68. Simpson, 2017, Optimizing sleep to maximize performance: implications and recommendations for elite athletes, Scand J Med Sci Sports, 27, 266, 10.1111/sms.12703 · DOI · Paper page
  69. Walker, 2005, It’s practice, with sleep, that makes perfect: implications of sleep-dependent learning and plasticity for skill performance, Clin Sports Med, 24, 301, 10.1016/j.csm.2004.11.002 · DOI
  70. Fullagar, 2016, Impaired sleep and recovery after night matches in elite football players, J Sports Sci, 34, 1333, 10.1080/02640414.2015.1135249 · DOI
  71. Hausswirth, 2014, Evidence of disturbed sleep and increased illness in overreached endurance athletes, Med Sci Sports Exerc, 46, 1036, 10.1249/MSS.0000000000000177 · DOI · Paper page
  72. Caia, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 151
  73. Pelka, 2017, Acute effects of psychological relaxation techniques between two physical tasks, J Sports Sci, 35, 216, 10.1080/02640414.2016.1161208 · DOI
  74. Fullagar, 2016, Impaired sleep and recovery after night matches in elite football players, J Sports Sci, 34, 1333, 10.1080/02640414.2015.1135249 · DOI
  75. Zhao, 2012, Red light and the sleep quality and endurance performance of Chinese female basketball players, J Athl Train, 47, 673, 10.4085/1062-6050-47.6.08 · DOI
  76. Waterhouse, 2007, The role of a short post-lunch nap in improving cognitive, motor, and sprint performance in participants with partial sleep deprivation, J Sports Sci, 25, 1557, 10.1080/02640410701244983 · DOI
  77. Duffield, 2018, Sport, Recovery and Performance: Interdisciplinary Insights, 183
  78. Dijk, 2009, Light, sleep, and circadian rhythms: together again, PLoS Biol, 7, 1000145, 10.1371/journal.pbio.1000145 · DOI
  79. Waterhouse, 2004, The stress of travel, J Sports Sci, 22, 946, 10.1080/02640410400000264 · DOI
  80. Hirshkowitz, 2015, National Sleep Foundation’s sleep time duration recommendations: methodology and results summary, Sleep Health, 1, 40, 10.1016/j.sleh.2014.12.010 · DOI · Paper page
  81. Kamdar, 2004, The impact of extended sleep on daytime alertness, vigilance, and mood, Sleep Med, 5, 441, 10.1016/j.sleep.2004.05.003 · DOI
  82. Dijk, 2009, Light, sleep, and circadian rhythms: together again, PLoS Biol, 7, 1000145, 10.1371/journal.pbio.1000145 · DOI
  83. Walker, 2005, It’s practice, with sleep, that makes perfect: implications of sleep-dependent learning and plasticity for skill performance, Clin Sports Med, 24, 301, 10.1016/j.csm.2004.11.002 · DOI
  84. Pelka, 2017, Acute effects of psychological relaxation techniques between two physical tasks, J Sports Sci, 35, 216, 10.1080/02640414.2016.1161208 · DOI
  85. Fuller, 2017, Software thresholds alter the bias of actigraphy for monitoring sleep in team-sport athletes, J Sci Med Sport, 20, 756, 10.1016/j.jsams.2016.11.021 · DOI
  86. Tuomilehto, 2017, Sleep of professional athletes: underexploited potential to improve health and performance, J Sports Sci, 35, 704, 10.1080/02640414.2016.1184300 · DOI · Paper page
  87. Fietze, 2009, Sleep quality in professional ballet dancers, Chronobiol Int, 26, 1249, 10.3109/07420520903221319 · DOI
  88. Sargent, 2016, The validity of activity monitors for measuring sleep in elite athletes, J Sci Med Sport, 19, 848, 10.1016/j.jsams.2015.12.007 · DOI
  89. Taylor, 2016, Sleep medication and athletic performance—the evidence for practitioners and future research directions, Front Physiol, 7, 83, 10.3389/fphys.2016.00083 · DOI
  90. Kölling, 2016, Sleep in sports: a short summary of alterations in sleep/wake patterns and the effects of sleep loss and jet-lag, Dtsch Z Sportmed, 67, 35, 10.5960/dzsm.2016.215 · DOI
  91. Kölling, 2016, Comparing subjective with objective sleep parameters via multisensory actigraphy in German physical education students, Behav Sleep Med, 14, 389, 10.1080/15402002.2015.1017096 · DOI
  92. Fullagar, 2016, Time to wake up: individualising the approach to sleep promotion interventions, Br J Sports Med, 50, 143, 10.1136/bjsports-2015-095759 · DOI
  93. Brandt, 2017, Perceived sleep quality, mood states, and their relationship with performance among Brazilian elite athletes during a competitive period, J Strength Cond Res, 31, 1033, 10.1519/JSC.0000000000001551 · DOI
  94. Kellmann, 2018, Recovery and performance in sport: consensus statement, Int J Sports Physiol Perform, 13, 240, 10.1123/ijspp.2017-0759 · DOI · Paper page
  95. Erlacher, 2004, Dreams reflecting waking sport activities: a comparison of sport and psychology students, Int J Sport Psychol, 35, 301
  96. Sargent, 2014, The impact of training schedules on the sleep and fatigue of elite athletes, Chronobiol Int, 31, 1160, 10.3109/07420528.2014.957306 · DOI · Paper page
  97. Sargent, 2014, Sleep or swim? Early-morning training severely restricts the amount of sleep obtained by elite swimmers, Eur J Sport Sci, 14, S310, 10.1080/17461391.2012.696711 · DOI · Paper page
  98. Fowler, 2016, Effects of long-haul transmeridian travel on subjective jet-lag and self-reported sleep and upper respiratory symptoms in professional rugby league players, Int J Sports Physiol Perform, 11, 876, 10.1123/ijspp.2015-0542 · DOI

Cited by

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Metadata

Authors
Kölling, S., Duffield, R., Erlacher, D., Venter, R., & Halson, S. L.
Venue
International Journal of Sports Physiology and Performance
Published
2019-02
Volume
14
Issue
2
Pages
144-148
ISSN
  • 1555-0265
  • 1555-0273
Cited by
63
References
6
Language
en

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