CC BY-NC-ND 4.0 · Sleep Sci 2023; 16(02): 183-196
DOI: 10.1055/s-0043-1770803
Original Article

Sleep Assessment in Competitive Athletes: Development and Validation of French Versions of the Athens Insomnia Scale and the Athlete Sleep Behavior Questionnaire

Sport Sciences department, LAMHESS, Université Côte d'Azur, Nice, France
,
Sport Sciences department, LAMHESS, Université Côte d'Azur, Nice, France
,
Sport Sciences department, LAMHESS, Université Côte d'Azur, Nice, France
,
Sport Sciences department, LAMHESS, Université Côte d'Azur, Nice, France
,
Sport Sciences department, LAMHESS, Université Côte d'Azur, Nice, France
,
Sport Sciences department, LAMHESS, Université Côte d'Azur, Nice, France
› Author Affiliations
Funding Declaration This research was part of the “Hamstring strain injuries and re-injury Anxiety: Psychological and Physiological risk factors” (HAPPy) project, which is part of a PhD project funded by the Université Côte d'Azur.

Abstract

Objective The purpose of this study was to develop and validate French versions of two questionnaires assessing competitive athletes' sleep: the Athens Insomnia Scale (AIS-FR) and the Athlete Sleep Behavior Questionnaire (ASBQ-FR).

Methods Four complementary studies were carried out, with a total sample of 296 French competitive athletes from different sports and expertise levels. The studies aimed to develop preliminary versions of the AIS-FR and the ASBQ-FR (study 1), and then to examine their respective dimensionality and reliability (study 2), temporal stability (study 3), and concurrent validity (study 4). The dimensionality was established using confirmatory factor analysis. Similar and correlated psychological factor scales were used to examine the concurrent validity (the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the State-Trait Anxiety Inventory and the Positive and Negative Affect Schedule).

Results The AIS-FR consists of eight items with two subfactors: nocturnal symptoms and diurnal symptoms, assessed by a uniformized 4-point Likert-type scale. The ASBQ-FR is composed of 15 items with three subfactors, which differs from the original English version: behaviors affecting sleep, behaviors related to anxiety, and sleep disturbances. Due to the Covid context and curfews, three items of the original scale were excluded from the statistical analyses because non-applicable. Both scales presented satisfactory psychometric properties.

Discussion The AIS-FR and ASBQ-FR appear to be valid and reliable tools that can be used with competitive athletes for everyday training and research purposes. An ASBQ-FR version that includes the three excluded items should undergo validation testing once pandemic restrictions are eased.



Publication History

Article published online:
06 July 2023

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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  • References

  • 1 Lastella M, Memon AR, Vincent GE. Global Research Output on Sleep Research in Athletes from 1966 to 2019: A Bibliometric Analysis. Clocks Sleep 2020; 2 (02) 99-119
  • 2 Charest J, Grandner MA. Sleep and Athletic Performance: Impacts on Physical Performance, Mental Performance, Injury Risk and Recovery, and Mental Health. Sleep Med Clin 2020; 15 (01) 41-57
  • 3 Clemente FM, Afonso J, Costa J, Oliveira R, Pino-Ortega J, Rico-González M. Relationships between Sleep, Athletic and Match Performance, Training Load, and Injuries: A Systematic Review of Soccer Players. Healthcare (Basel) 2021; 9 (07) 808
  • 4 Walsh NP, Halson SL, Sargent C. et al. Sleep and the athlete: narrative review and 2021 expert consensus recommendations. Br J Sports Med 2020; 55 (07) 356-368
  • 5 Vitale KC, Owens R, Hopkins SR, Malhotra A, Kenneth Vitale CC. Sleep Hygiene for Optimizing Recovery in Athletes: Review and Recommendations. Int J Sports Med 2019; 40 (08) 535-543
  • 6 O'Donnell S, Beaven CM, Driller MW. From pillow to podium: a review on understanding sleep for elite athletes. Nat Sci Sleep 2018; 10: 243-253
  • 7 Halson SL. Sleep Monitoring in Athletes: Motivation, Methods, Miscalculations and Why it Matters. Sports Med 2019; 49 (10) 1487-1497
  • 8 Simim MAM, Souza HS, Cardoso Filho CA. et al. Sleep quality monitoring in individual sports athletes: parameters and definitions by systematic review. Sleep Sci 2020; 13 (04) 267-285
  • 9 Claudino JG, Gabbet JT, de Sá Souza H. et al. Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and meta-analysis. BMJ Open Sport Exerc Med 2019; 5 (01) e000475
  • 10 Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med 2001; 2 (04) 297-307
  • 11 Blais FC, Gendron L, Mimeault V, Morin CM. [Evaluation of insomnia: validity of 3 questionnaires]. Encephale 1997; 23 (06) 447-453
  • 12 Nédélec M, Halson S, Abaidia A-E, Ahmaidi S, Dupont G. Stress, Sleep and Recovery in Elite Soccer: A Critical Review of the Literature. Sports Med 2015; 45 (10) 1387-1400
  • 13 Gupta L, Morgan K, Gilchrist S. Does Elite Sport Degrade Sleep Quality? A Systematic Review. Sports Med 2017; 47 (07) 1317-1333
  • 14 Sargent C, Lastella M, Halson SL, Roach GD. How Much Sleep Does an Elite Athlete Need?. Int J Sports Physiol Perform 2021; 16 (12) 1746-1757
  • 15 World Health Organization. . The ICD-10 Classification of Mental and Behavioural Disorders: Clinical descriptions and diagnostic guidelines. World Health Organisation, editor. 1992.
  • 16 Soldatos CR, Dikeos DG, Paparrigopoulos TJ. Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. J Psychosom Res 2000; 48 (06) 555-560
  • 17 Dickinson RK, Hanrahan SJ. An Investigation of Subjective Sleep and Fatigue Measures for Use With Elite Athletes. J Clin Sport Psychol 2009; 3 (03) 244-266
  • 18 Okajima I, Nakajima S, Kobayashi M, Inoue Y. Development and validation of the Japanese version of the Athens Insomnia Scale. Psychiatry Clin Neurosci 2013; 67 (06) 420-425
  • 19 Samuels C, James L, Lawson D, Meeuwisse W. The Athlete Sleep Screening Questionnaire: a new tool for assessing and managing sleep in elite athletes. Br J Sports Med 2016; 50 (07) 418-422
  • 20 Mastin DF, Bryson J, Corwyn R. Assessment of sleep hygiene using the Sleep Hygiene Index. J Behav Med 2006; 29 (03) 223-227
  • 21 Driller MW, Mah CD, Halson SL. Development of the athlete sleep behavior questionnaire: A tool for identifying maladaptive sleep practices in elite athletes. Sleep Sci 2018; 11 (01) 37-44
  • 22 Miley EN, Hansberger BL, Casanova M, Baker RT, Pickering MA. Confirmatory Factor Analysis of the Athlete Sleep Behavior Questionnaire. J Athl Train 2021; 58 (03) 261-270
  • 23 Vallerand RJ, Halliwell WR. Vers une méthodologie de validation trans-culturelle de questionnaires psychologiques: Implications pour la recherche en langue française. Can Psychol Can. 1989; 8 (01) 9-18
  • 24 Boateng GO, Neilands TB, Frongillo EA, Melgar-Quiñonez HR, Young SL. Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. Front Public Health 2018; 6: 149
  • 25 Arthurs E, Steele RJ, Hudson M, Baron M, Thombs BD. (CSRG) Canadian Scleroderma Research Group. Are scores on English and French versions of the PHQ-9 comparable? An assessment of differential item functioning. PLoS One 2012; 7 (12) e52028
  • 26 Facundo LA, Albuquerque MR, Esteves AM. et al. Cross-cultural adaptation of the Brazilian version of the athlete sleep behavior questionnaire. Sleep Sci 2021; 14 (Spec 2): 150-157
  • 27 MacCallum RC, Widaman KF, Zhang S, Hong S. Sample size in factor analysis. Psychol Methods 1999; 4 (01) 84-99
  • 28 Sateia MJ. International classification of sleep disorders-third edition: highlights and modifications. Chest 2014; 146 (05) 1387-1394
  • 29 Myers ND, Martin JJ, Ntoumanis N, Celimli S, Bartholomew KJ. Exploratory bifactor analysis in sport, exercise, and performance psychology: A substantive-methodological synergy. Sport Exerc Perform Psychol 2014; 3 (04) 258-272
  • 30 Béland S, Cousineau D, Loye N. Utiliser le coefficient omega de McDonald à la place de l'alpha de Cronbach. McGill J Educ 2017; 52 (03) 791-804
  • 31 Peugh J, Feldon DF. “How Well Does Your Structural Equation Model Fit Your Data?”: Is Marcoulides and Yuan's Equivalence Test the Answer?. CBE Life Sci Educ 2020; 19 (03) es5
  • 32 Terwee CB, Bot SDM, de Boer MR. et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007; 60 (01) 34-42
  • 33 Buysse DJ, Reynolds III CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989; 28 (02) 193-213
  • 34 Perney P, Rigole H, Mason B, Dematteis M, Lehert P. Measuring sleep disturbances in patients with alcohol use disorders: a short questionnaire suitable for routine practice. J Addict Med 2015; 9 (01) 25-30
  • 35 Ribeiro N, Gounden Y, Quaglino V. Is There a Link Between Frequency of Dreams, Lucid Dreams, and Subjective Sleep Quality?. Front Psychol 2020; 11: 1290
  • 36 Spielberger CD. . Manual for the State-Trait Anxiety Inventory (Form Y). Consulting. Palo Alto, CA; 1983.
  • 37 Bruchon-Schweitzer M, Paulhan I. . STAI-Y : Inventaire d'anxiété état-trait forme Y. Paris: Les Editions du Centre de Psychologie Appliquée; 1993:68.
  • 38 Morin CM, Belleville G, Bélanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep 2011; 34 (05) 601-608
  • 39 Lebrun C, Gély-Nargeot M-C, Maudarbocus KH, Bayard S. Assessing Sleep-Related Safety Behaviors: Adaptation and Validation of a French Version of the Sleep-Related Behaviors Questionnaire in a Nonclinical Sample. Behav Sleep Med 2020; 18 (01) 107-119
  • 40 Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 1988; 54 (06) 1063-1070
  • 41 Heubeck BG, Wilkinson R. Is all fit that glitters gold? Comparisons of two, three and bi-factor models for Watson, Clark & Tellegen's 20-item state and trait PANAS. Pers Individ Dif 2019; 144: 132-140
  • 42 Gaudreau P, Sanchez X, Blondin JP. Positive and Negative Affective States in a Performance-Related Setting. Eur J Psychol Assess 2006; 22 (04) 240-249
  • 43 Latif I, Hughes ATL, Bendall RCA. Positive and Negative Affect Mediate the Influences of a Maladaptive Emotion Regulation Strategy on Sleep Quality. Front Psychiatry 2019; 10: 628
  • 44 Li L, Griffiths MD, Mei S, Niu Z. Fear of Missing Out and Smartphone Addiction Mediates the Relationship Between Positive and Negative Affect and Sleep Quality Among Chinese University Students. Front Psychiatry 2020; 11: 877
  • 45 Blunch NJ. . Introduction to structural equation modeling using IBM SPSS statistics and AMOS. SAGE; 2017:303.
  • 46 Arbuckle JL. . IBM ® SPSS ® Amos ™ 28 User's Guide. 2021:151–164.
  • 47 Darendeli A, Diker G, Çınar Z. Athlete Sleep Behavior Questionnaire - Turkish Version: Study of Validity and Reliability. J Turkish Sleep Med. 2019; 6 (02) 43-48
  • 48 Jackson DL, Gillaspy JA, Purc-Stephenson R. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods 2009; 14 (01) 6-23
  • 49 Fornal-Pawłowska M, Wołyńczyk-Gmaj D, Szelenberger W. [Validation of the Polish version of the Athens Insomnia Scale]. Psychiatr Pol 2011; 45 (02) 211-221
  • 50 Gómez-Benito J, Ruiz C, Guilera G. A Spanish version of the athens insomnia scale. Qual Life Res 2011; 20 (06) 931-937
  • 51 Jeong HS, Jeon Y, Ma J. et al. Validation of the Athens Insomnia Scale for screening insomnia in South Korean firefighters and rescue workers. Qual Life Res 2015; 24 (10) 2391-2395
  • 52 Lin C-Y, Cheng ASK, Nejati B. et al. A thorough psychometric comparison between Athens Insomnia Scale and Insomnia Severity Index among patients with advanced cancer. J Sleep Res 2020; 29 (01) e12891
  • 53 Sun JL, Chiou JF, Lin CC. Validation of the Taiwanese version of the Athens Insomnia Scale and assessment of insomnia in Taiwanese cancer patients. J Pain Symptom Manage 2011; 41 (05) 904-914
  • 54 Chiu HY, Chang LY, Hsieh YJ, Tsai PS. A meta-analysis of diagnostic accuracy of three screening tools for insomnia. J Psychosom Res 2016; 87: 85-92
  • 55 Weiss JP, Blaivas JG. Nocturia. J Urol 2000; 163 (01) 5-12
  • 56 Chiang H-L, Chen H-C, Bai H-H. et al. A Validation Study of the Chinese Version of the Athens Insomnia Scale. Taiwan J Psychiatry. 2009; 23 (01) 43-52
  • 57 Caia J, Thornton HR, Kelly VG. et al. Does self-perceived sleep reflect sleep estimated via activity monitors in professional rugby league athletes?. J Sports Sci 2018; 36 (13) 1492-1496
  • 58 Vlahoyiannis A, Aphamis G, Bogdanis GC, Sakkas GK, Andreou E, Giannaki CD. Deconstructing athletes' sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristics. J Sport Health Sci 2021; 10 (04) 387-402
  • 59 Driller MW, Lastella M, Sharp AP. Individualized sleep education improves subjective and objective sleep indices in elite cricket athletes: A pilot study. J Sports Sci 2019; 37 (17) 2121-2125
  • 60 Jurecka A, Skucińska P, Gądek A. Impact of the SARS-CoV-2 Coronavirus Pandemic on Physical Activity, Mental Health and Quality of Life in Professional Athletes-A Systematic Review. Int J Environ Res Public Health 2021; 18 (17) 9423
  • 61 Soldatos CR, Dikeos DG, Paparrigopoulos TJ. The diagnostic validity of the Athens Insomnia Scale. J Psychosom Res 2003; 55 (03) 263-267