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. 2021 Apr-Jun;14(Spec 2):150–157. doi: 10.5935/1984-0063.20200105

Cross-cultural adaptation of the Brazilian version of the Athlete Sleep Behavior Questionnaire

Lucas Alves Facundo 1, Maicon Rodrigues Albuquerque 1,2, Andrea Maculano Esteves 3, Matthew W Driller 4, Isadora Grade 1, Marco Túlio De-Mello 1,2, Andressa Silva 1,2,*
PMCID: PMC8764952  PMID: 35082984

Abstract

Introduction:

Considering the specificity of the sporting context and the influence of sleep on athletic performance, the “athlete sleep behavior questionnare” (ASBQ) was developed to evaluate sleep behavior in English-speaking athletes.

Objective:

The aim of this study was to perform a cross-cultural adaptation and validation of the ASBQ in Brazilian athletes.

Methods:

The cross-cultural adaptation was processed by procedures of translation and back-translation. Content validity was performed by 9 experts, calculating the coefficient of content validity for the equivalence of the individual items (Cvci) and the total global score (Cvct), in addition we conducted a pilot study using the translated version of the questionnaire. The next phase of the study included 52 athletes completing the translated ASBQ. The reliability of the questionnaire was assessed by the intraclass correlation coefficient (ICC), standard error of measurement (SEM) and by Cronbach’s alpha (α).

Results:

The ASBQ passed the process of cross-cultural adaptation, obtaining the Brazilian Version of the ASBQ (ASBQ-BR), and with acceptable values of Cvci (0.89-1.00) and Cvct (0.96). Additionally, the ASBQ-BR showed acceptable values of reliability (ICC=0.857; Cronbach’s α=0.78) and a SEM of 3.05 AU.

Conclusion:

The ASBQ was translated to a newly developed ASBQ-BR, resulting in acceptable values for content validity and reliability. The ASBQ-BR provides a valuable tool for monitoring sleep behaviors in Brazilian athletes.

Keywords: Circadian Rhythm, Sports, Sleep Hygiene, Sleep Disorders, Surveys and Questionnaires, Behavior Rating Scale

INTRODUCTION

Sleep is an important process that can both impair and improve the health of humans and animals1,2. Sleep plays a vital role in sensorimotor and athletic performance, providing physical, coordinative, and cognitive recovery3,4. Sleep with adequate duration and quality, can optimize sports performance and reduce the likelihood of musculoskeletal injuries in elite athletes5,6. However, it has been reported that many athletes do not obtain enough sleep and may exhibit sleep disturbances7. In a study by Lastella et al. (2015)8, results demonstrated that athletes had an average of 6.8±1.1 hours of sleep per night, a duration that doesn’t meet the recommended duration for this population of 9-10 hours per night8,9. Additionally, in the study of Silva et al. (2019)7, results highlighted that Olympic athletes sleep an average of 5.5 hours per night, and 53% of Brazilian Olympic athletes (n=146) reported complaints relating to sleep, including ~36% displaying sleep disorders, with insomnia being the main complaint7. Disturbed sleep quality may impair physical recovery and subsequent sports performance10.

There are many specific factors in the athletic context that can negatively impact on athlete recovery11. This population regularly faces long and short-haul travel for competition, night matches/competition, and a high frequency of caffeine use as well as other stimulants11. Further, in the days before competition, it is common for athletes to exhibit nervousness and anxiety, making it harder to fall asleep12. Over time, these complaints of anxiety, stress, schedule of competitions, and a non-restorative sleep could have an impact on performance13. Concomitantly, the common scheduling of training in the morning may further impair the time available for sleep14. A wide array of interventions can compensate in these situations, for example, sleep hygiene education11 and sleep extension have been explored with positive findings in some studies15,16. However, for appropriate interventions to be implemented, precise tools are required to first obtain information on the athlete’s current sleep habits and behaviors.

Different tools are used for the monitoring of sleep in athletic populations. Actigraphy is often used for sleep/wake cycle analyses17, where the analysis of sleep phases patterns and sleep disturbances is performed using polysomnography, the gold standard for sleep evaluation18. Another important way to evaluate sleep of athletes is the use of questionnaires that are more cost and time effective. Also, they can evaluate a wide range of sleep measures and behaviors17. Additionally, questionnaires, scales and surveys are very common to analyze the sleep of athletes, in team and individual sports18,19. New sleep questionnaires have recently emerged that are specific to the sport and athlete setting17.

Brazil is a leader in the world when it comes to athlete-sleep research. A recent study reported that it is host to one of the most productive institutions in the world, and is also in the top 10 as a country when it comes to athlete-sleep research (20). Different tools have been used by Brazilian researchers to evaluate aspects related to the sleep-wake cycle. Relating to questionnaires, few options are available to practitioners working with Brazilian athletes, for example, the Pittsburgh sleep quality index (PSQI) and the Epworth sleepiness scale (ESS) have both been validated in Brazilian Populations21,22 and used in studies with elite athletes23. Another common tool includes the use of sleep diaries, where data can be collected over long time-frames and allow for circadian rhythm analysis in a reliable way24. Nevertheless, these questionnaires (PSQI and ESS) are not specific to athletes, as they do not evaluate particular aspects and challenges faced by this population and can impact their results25. This is the main point that highlight the relevance of adapt questionnaires specific for Brazilian athletes.

One of the specific questionnaires developed for athletes is the ATHLETE SLEEP BEHAVIOR QUESTIONNAIRE (ASBQ)26. The ASBQ evaluates information related to the practices of sleep behaviors of elite athletes, making it possible for individualized feedback and interventions based on the answers provided on 18 specific items. However, this questionnaire was developed for English-speaking athletes and has recently been translated and validated for Turkish athletes27, but is yet to be translated and validated for Brazilian athletes. Therefore, the aim of the current study was to ensure the cross-cultural adaptation, translation and validation of the ASBQ for Brazilian athletes, in the Portuguese language. Additionally, we aimed to test the reliability of the translated version.

MATERIAL AND METHODS

Ethical approval

The present study was approved by the research ethics committee at the Federal University of Minas Gerais (N. 01912318.6.0000.5149 and N. 64492016.8.0000.5149).

Participants

This study included a convenience sample of 52 athletes.

Group 1: athletes (n=52), average age of 27±8 years (male=41; female=11), from the sports of: athletics (n=7), taekwondo (n=8), swimming (n=7), judo (n=4), triathlon (n=6), Olympic weightlifting (n=1), para weightlifting (n=8), and volleyball (n=11); 15 were para-athletes with a disability.

As the inclusion criteria for athletes, we included those who competed at National or International level events over the past last year, and were >18 years of age at the time of completing the study. The data related to the ASBQ was collected in person, with the main researcher present to answer any questions of the individuals, and during the competitive season of their sport.

Cross-cultural adaptation

The process of translating the questionnaire followed the steps proposed by Guillemin et al. (1993)28 and Beaton et al. (2000)29. Figure 1 shows these procedures in a schematic manner.

Figure 1. Procedures of cross-cultural adaptation.

Figure 1

Step 1

Two translators performed independent translation of the questionnaire from the English language to the Portuguese language. Both translators are fluent in English and one of them has experience in the sporting context. After the conclusion of translation 1 (T1) and translation 2 (T2), the researcher met with the two translators and with two other experienced researchers in the process of questionnaire adaptations and with sleep research, to compare the two versions of the translations and evaluate if there were any discrepancies. After this process, a preliminary version (T1-T2) was developed through the synthesis of the translations.

Step 2

The synthesis obtained previously by the two translators (T1-T2) was reverse translated to the English language. The process was performed by two independent translators, both of them with English as their native language and fluency in the Portuguese language. Again, the researcher met with the translators, with the two independent versions: back-translation 1 (BT1) and back-translation 2 (BT2) and built a second version with the combination of these two versions (BT1-BT2).

Step 3

In the next step, the different versions of the questionnaire, T1-T2 and BT1-BT2, were compared with the original version of the ASBQ. In this meeting the final version (ASBQ-BR) of the questionnaire was decided on by the main researcher and the translators involved.

Step 4

Semantic and syntactic verification of the last version was performed. The questionnaire was reviewed by a professional specialized in grammatical review of texts in the Portuguese language. In addition, a pilot study was conducted with 27 athletes aiming to improve the understanding of the questionnaire items. The volunteers were athletics’ junior athletes with a medium age of 17±2 years old. The volunteers were asked to point out issues with difficulties in interpretation/understanding. These answers in the ASBQ were not used in the psychometric analyses.

In the process of direct translation and reverse translation, four qualified translators were recruited. In the first step, one of the translators had a Master’s degree in sports sciences and certification in the English language, with international experience in the sports field, in addition to writing scientific articles in English. Additionally, the other professional had certification in the English language with no experience in the sports context.

In the second step, both translators were of North American origin, more precisely from the United States, and had lived in Brazil for more than 7 years and have fluency on Portuguese. In addition, one of the translators was an English teacher and professional translator of academic texts living and working for more than 10 years in Brazil.

Content validity

Content validity is related to the extent to which the items of a given instrument are associated with the construct that will be measured, in this case, the sleep behavior of athletes30. In this process, a qualitative approach was used by specialists in the field. These experts assess the relevance of each item to the construct analyzed by the questionnaire. The validity can be calculated by the content validity coefficient (CVC) per individual item (Cvci) and by the total content validity coefficient (Cvct)31.

To calculate the content validity coefficient for each item and the total score, the steps proposed by Hernández-Nieto (2002)31 were performed. In addition, in the form, there was a space for professionals to make any suggestions.

Procedures

The researchers implemented the content validity online using the Google Forms platform. According to the scientific literature, a minimum number of 4 to 6 experts are recommended to perform the content validity, and it is not necessary to exceed the number of 10 evaluators32. Nine professionals were recruited, considered experts in the sleep area and with experience in applying these concepts in the context of athletes. These evaluators have a Ph.D. or Master degree as well as practical and academic experience in the field of sleep and athletes, and included medical physicians, physical education professionals, physiotherapists, psychologists, and biologists. In the form sent to the researchers, the objectives and the importance of the procedures were explained. They were then asked to assess the equivalence of each item in the questionnaire for the athletes’ sleep behavior construct. The participants answered a scale with a score from 1 to 4 for each item, being: 1 = non-equivalent item; 2 = item needs major revision to assess equivalence; 3 = equivalent item, needs minor changes; 4 = absolutely equivalent item. These items were used based on the suggestion of Souza et al. (2017)33.

RELIABILITY

Instruments

Athlete’s sleep behavior questionnaire

The ASBQ was developed using the combination of the sleep hygiene index, the International Classification of Sleep Disorders, and studies that described the most common issues related to athletes’ sleep12,34 together with the recommendations related to these specific issues9,35,36. The ASBQ is an 18-item questionnaire that includes questions related to habits considered of concern to athletes in their sleep hygiene and related to their behavior in relation to sleep. This tool was created in order to identify areas in which it is possible to improve the athletes’ behavior in relation to their sleep hygiene and to screen their habits regarding this aspect.

The questionnaire presents as a total global score, the sum of the answers in the questions. Responses related to the frequency of specific behaviors are scored as follows: 1 = never, 2 = rarely, 3 = sometimes, 4 = often, and 5 = always. These questions are distributed in 3 factors of the questionnaire: routine and environmental factors (items 1, 5, 15, 16, 17, and 18); behavioral factors (items 2, 4, 8, 10, 11, 12, and 13); and factors related to sport (items 3, 6, 7, 9, and 14). The researchers that developed this questionnaire suggest that scores less than or equal to 36 AU indicate “good sleep behavior” and above 42 AU represent “poor sleep behavior”26. Scores between 36 and 42 AU classify the athlete with “moderate sleep behavior”. Good sleep behavior (≤36) represents an average “rarely” response in the 18 items, while the upper threshold, or poor sleep behavior (≥42), requires more than one answer for items such as “sometimes”, “frequently” or “always”26.

Test-retest reliability and internal consistency

The reliability of an instrument refers to the ability of an instrument to reproduce a result consistently (test-retest reliability or stability), in addition to the domains of an instrument that measure the same characteristic (internal consistency)33.

The test-retest reliability of the questionnaire was performed by administering the questionnaire on two different occasions for the same individual30. In the present study, the time used to assess the test-retest reliability was seven days between applications. A cohort of 34 athletes was used to assess reliability. This time between tests was the same as used previously in the construction of the English ASBQ26 and also used in the Turkish version of the questionnaire27.

Statistical analysis

To analyze the test-retest reliability, the intraclass correlation coefficient (ICC) was used. The type of ICC used was the ICC (2,k), based on a mean-rating (k=2), absolute agreement, 2 way random-effect37.To guarantee the reliability of the instrument, values above 0.7 were considered acceptable38. Moreover, the standard error of measurement (SEM) was used. To calculate the SEM we used the “rel” R package39.

Regarding the analysis of internal consistency, we opted to use Cronbach’s alpha. Cronbach’s alpha coefficient assesses the average of intercorrelations between items within a scale30. Studies generally use a minimum threshold Cronbach’s alpha value of >0.7 as recommended, but values between 0.6 and 0.7 can be interpreted as satisfactory38.

Calculations of CVC and effect size were performed in Microsoft Excel. For the calculation of ICC and SEM, R Statistics software was used, while for Cronbach’s α, SPSS version 19 was used.

RESULTS

Cross-cultural adaptation

In the pilot study, the athletes reported that the items of questionnaire were clear and did not show any issues. The score of these athletes was 36±5 AU on the ASBQ-BR. The translation result can be seen in Table 1

Table 1. Result of the cross-cultural adaptation.

Original English version (ASBQ) Portuguese version (ASBQ-BR)
I take afternoon naps lasting two or more hours Tirei cochilos à tarde que duraram duas ou mais horas
I use stimulants when I train/compete (e.g., caffeine) Utilizei estimulantes para treinar/competir (ex.: cafeína)
I exercise (train or compete) late at night (after 7 p.m.) Exercitei-me (treinei ou competi) tarde da noite (após 19 horas)
I consume alcohol within 4 hours of going to bed Consumi álcool no período de até 4 horas antes de ir me deitar
I go to bed at different times each night (more than ±1 hour variation) Deitei-me em horários diferentes a cada noite (mais de uma hora de variação)
I go to bed feeling thirsty Deitei-me sentindo sede
I go to bed with sore muscles Deitei-me com dores musculares
I use light-emitting technology in the hour leading up to bedtime (e.g., laptop, phone, television, video games) Utilizei tecnologia que emite luz na hora que antecede o momento de ir me deitar (ex.: computador, celular, televisão, videogames)
I think, plan and worry about my sporting performance when I am in bed Pensei, planejei e/ou me preocupei com meu desempenho esportivo quando estava deitado para dormir
I think, plan and worry about issues not related to my sport when I am in bed Pensei, planejei e/ou me preocupei com questões não relacionadas ao meu esporte quando estava deitado para dormir
I use sleeping pills/tablets to help me sleep Utilizei medicamentos para me ajudar a dormir
I wake to go to the bathroom more than once per night Acordei para ir ao banheiro mais de uma vez por noite
I wake myself and/or my bed partner with my snoring Acordei e/ou acordei meu companheiro de cama com meu ronco
I wake myself and/or my bed partner with my muscle twitching Acordei e/ou acordei meu companheiro de cama com movimentos involuntários
I get up at different times each morning (more than ±1 hour variation) Levantei-me em horários diferentes cada manhã (mais de uma hora de variação)
At home, I sleep in a less than ideal environment (e.g., too light, too noisy, uncomfortable bed/pillow, too hot/cold) Em casa, eu dormi em um ambiente não ideal para o sono (muito claro, muito barulhento, em cama e/ou em travesseiro desconfortável, muito quente/frio)
I sleep in foreign environments (e.g., hotel rooms) Dormi em ambientes desconhecidos (ex.: quartos de hotéis)
Travel gets in the way of building a consistent sleep-wake routine Viagens me atrapalharam a seguir uma rotina consistente de dormir e acordar

Source: The authors.

Content validity

All items presented acceptable values (>0.8) in relation to the equivalence for the construct of the athlete’s sleep behavior (Cvci). The item values ranged between 0.89-1.00. In addition, the Cvct presented an acceptable score for the total content validity, with a value of 0.96 (Table 2).

Table 2. Content validity coefficient.

Item Cvci
1 0.89
2 0.92
3 0.92
4 0.94
5 0.97
6 0.97
7 1.00
8 0.94
9 0.97
10 0.94
11 1.00
12 0.97
13 0.94
14 0.94
15 0.97
16 0.97
17 0.94
18 0.97
Cvct 0.96

Source: The authors.

Reliability

The ICC resulted in acceptable scores of 0.857 and with a 95% confidence interval of 0.734-0.926 [F(33.34)=13.1, p=0.001]. The statistical power of this analysis was 1, which is considered high. Additionally, the average difference in the total global score between the two applications was 0.9±4.0 AU. Another metric used was the SEM that shows a value of 3.05 AU (2.35- 3.74 AU 95% CI). The variation between the first and the second application is inside of the SEM. In other words, it represents that the difference between the two applications, is not a real score difference. In the analysis of internal consistency, a Cronbach’s α of 0.78 was found with a 95% confidence interval.

DISCUSSION

The aim of the present study was to perform a cross-cultural adaptation, translation and validation of the English version of the ASBQ to the Portuguese language. The ASBQ was translated following the steps proposed in the scientific literature29, and demonstrated acceptable levels of validity in relation to the athletes’ sleep behaviors. The ASBQ-BR also presented acceptable levels of reliability.

Adequate sleep is essential for not only sports performance, but also in the regulation of almost all body systems, ensuring hormonal, cardiac, respiratory, and immunological performance and balance40. However, not all athletes manage to obtain the necessary amount of sleep, possibly related to having inadequate sleep hygiene habits. This supports the need to monitor and control these behaviors to enhance athletic performance and prevent injuries40,41. From this perspective, the development of specific tools to monitor the sleep-wake patters of athletes is vital25.

Different tools are used to monitor the sleep of elite athletes, from high-cost tools, such as actigraphy and polysomnography, to less expensive instruments such as mobile applications and validated questionnaires17. The use of questionnaires, in addition to the low cost, has the advantage of collecting behavioral data, such as sleep habits and practices42. Additionally, questionnaires are one of the most commons tools used to athletes’ sleep monitoring18,19. Thus, questionnaires may provide us with valuable information about the sleep and recovery practices of athletes, guiding precise and effective intervention protocols and strategies for this population43. Therefore, the importance of the adaptation and translation of questionnaires to native languages within the scientific, practical and clinical setting is imperative.

In the current study, the ASBQ underwent a cross-cultural adaptation procedure to obtain ASBQ-BR. In the process of translating the questionnaire, we believe that the presence of two independent translators with different experiences (one from the sports environment and the other outside this context) positively influenced this process. While the translator with experience in the sports field guaranteed a more contextualized translation, the translator who did not have these characteristics was able to highlight ambiguities in the original questionnaire related to language, without interference from the conceptual sports bias29. In summary, the experience and qualification of the working group involved in the translation process can indicate quality in the process44.

In the translation of the ASBQ to the ASBQ-BR version, the translation and reverse translation procedures were performed. Although there is still no gold standard for the translation of scales and questionnaires, the reverse translation procedure is indicative of a robust process for cross-cultural and language translation studies, as it guarantees the semantic and syntactic maintenance44. Furthermore, to ensure comprehension and grammatical correction, a thorough review and a pilot study were carried out. After this procedure, the clarity of the ASBQ-BR questions was ensured44.

Another important step in the process of cross-cultural adaptation of the questionnaire is content validation, which represents how closely the items in the questionnaire are related to the evaluated construct30. All items in the questionnaire had appropriate values ranging from 0.89 to 1.00 (Cvci), in addition to the total assessment of the questionnaire (Cvct) presenting an appropriate score of 0.9645. In this procedure, the equivalence of each item was assessed in relation to the athletes’ sleep behavior construct46. In this way, through the evaluation of specialists, the equivalence of the items in this questionnaire was confirmed in the evaluation of behaviors that influence the sleep effectiveness of athletes.

The evaluation of the test-retest reliability of the ASBQ-BR ensures the stability of the tool by evaluating the same situations or phenomena at different time-points47. In other words, reliability refers to the consistency of the measurement, in which can be assessed by absolute and relative consistency48. Absolute consistency concerns the consistency of scores of individuals, and the SEM is a statistical method used to this purpose48. On the other hand, relative consistency refers to the consistency of the position to others, and can be quantified using the ICC48. In summary, our results showed acceptable levels of reliability. There was a difference in the total global score of only 0.85 AU between the first application and the second application 7 days later, and the ICC presented a value of 0.857. In the original English version of the ASBQ validation study, a value of 0.87 was found for the ICC, in addition to a difference of 0.10 AU between applications26. Similarly, in the study where the ASBQ was translated in the Turkish language, acceptable values of 0.85 were also found27. The result of the SEM reported that a true value would vary between 3.05 A.U. The mean difference between the two applications of the questionnaire of 0.9, show us that the results of the ASBQ-BR, are in a range of true results48. In addition, it will only be possible to check difference between the two applications of the questionnaire when the difference is greater than SEM=3.05. Thus, high scores on test-retest reliability demonstrate that the ASBQ-BR is stable during two applications and provide positive indications for it use in the practical and scientific field26.

The ASBQ-BR reported an acceptable value for Cronbach’s alpha, which was 0.78. This value was higher than those found in the original ASBQ development study (0.63) and also in the Turkish language study (0.62)26,27. The Cronbach’s alpha test is important to use for questionnaires that analyze different behaviors of a person and their personality49. It is important to note that an acceptable value of reliability represents that the items evaluate the same construct that they are related to, in this case, the sleep behaviors of athletes30.

Another relevant finding in the present study was the mean ASBQ-BR score of 43.81 AU. Following the criteria established by Driller et al. (2018)26 in creating the ASBQ, this score can be characterized as “poor sleep behavior”, which also occurred within the sample of the original study26. These findings may demonstrate that, on average, Brazilian athletes in our sampled population show poor sleep behavior. From this perspective, it is important to emphasize the need for constant monitoring of sleep hygiene habits of Brazilian athletes, with specific tools for this population, in order to propose necessary interventions for their improvement17. Additionally, the ASBQ has been shown previously to be effective in improving these habits, paying attention to the individual items on the questionnaire in which the athlete has a higher frequency reported, and targeting approaches and interventions to improve these behaviors43. Improving behaviors as the sleep duration can be important for the maintenance of the cognitive and athletic performance2,50.

The ASBQ-BR is the first questionnaire for analyze the specific sleep behavior of athletes in Brazil as we know. The ASBQ-BR will help the work of coaches, researchers and athletes to analyze sleep hygiene. Additionally, no differences were found in the scores between the sexes (Mann-Whitney U=225.00; Z=-0.011; p=0.991), and in volunteers with disabilities and without physical disabilities (Mann-Whitney U=198.00; Z=-1.609; p=0.108), making this questionnaire suitable for different competitive contexts.

In conclusion, the ASBQ went through thorough and robust methods in the process of cross-cultural adaptation and translation to Brazilian Portuguese, obtaining new validation of the Brazilian version of this questionnaire, the ASBQ-BR. Additionally, the equivalence of its items in relation to the sleep behavior of athletes was also verified (Cvci=0.89-1.00; Cvct=0.96), as well as its reliability (ICC=0.857; Cronbach’s α =0.78) in a 95% confidence interval. The ASBQ-BR may provide a valid, reliable and valuable tool for researchers, practitioners or clinicians working with Brazilian athletes looking to target maladaptive sleeping behaviors.

ACKNOWLEDGMENTS

The authors thank the support given by Pró-Reitoria de Pesquisa (PRPq) - UFMG, CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), FAPEMIG (Fundação de Amparo à Pesquisa do Estado de Minas Gerais), CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), Secretaria Especial do Esporte do Ministério da Cidadania (Governo Federal, Brasília, Brazil - protocol number 58000.008978/2018-37), Comitê Paralímpico Brasileiro (CPB), CTE/EEFFTO/UFMG, FEPE-UFMG (Fundação de Apoio ao Ensino, Pesquisa e Extensão-UFMG), CEPE (Centro de Estudos em Psicobiologia e Exercício), CEMSA (Centro Multidisciplinar de Sonolência e Acidentes), and Volleyball Team of America (Montes Claros).

Footnotes

CONFLICTS OF INTEREST

We confirm that there are no potential conflicts of interest.

REFERENCES

  • 1.Silva A, Araujo P, Zager A, Tufik S, Andersenl ML. Sex differences in sleep pattern of rats in an experimental model of osteoarthritis. Eur J Pain. 2011 Jul;15(6):545–53. doi: 10.1016/j.ejpain.2010.10.009. [DOI] [PubMed] [Google Scholar]
  • 2.Kirschen GW, Jones JJ, Hale L. The impact of sleep duration on performance among competitive athletes: a systematic literature review. Clin J Sport Med. 2020 Sep;30(5):503–12. doi: 10.1097/JSM.0000000000000622. [DOI] [PubMed] [Google Scholar]
  • 3.LaGoy AD, Ferrarelli F, Sinnott AM, Eagle SR, Johnson CD, Connaboy C. You snooze, you win? An ecological dynamics framework approach to understanding the relationships between sleep and sensorimotor performance in sport. Sleep Med Clin. 2020 Mar;15(1):31–9. doi: 10.1016/j.jsmc.2019.11.001. [DOI] [PubMed] [Google Scholar]
  • 4.Kölling S, Duffield R, Erlacher D, Venter R, Halson SL. Sleep-related issues for recovery and performance in athletes. Int J Sports Physiol Perform. 2019 Feb;14(2):144–8. doi: 10.1123/ijspp.2017-0746. [DOI] [PubMed] [Google Scholar]
  • 5.Mello MT, Simim MAM, Narciso FV, Rosa JPP, Rodrigues DF, Freitas LSN, et al. Duration and quality of sleep in sprint and recovery performances among elite swimmers. Rev Bras Med Esporte. 2020 Apr;26(2):126–9. [Google Scholar]
  • 6.Silva A, Narciso FV, Soalheiro I, Viegas F, Freitas LSN, Lima A, et al. Poor sleep quality’s association with soccer injuries: preliminary data. Int J Sports Physiol Perform. 2020 May;15(5):671–6. doi: 10.1123/ijspp.2019-0185. [DOI] [PubMed] [Google Scholar]
  • 7.Silva A, Narciso FV, Rosa JP, Rodrigues DF, Silva Cruz AÂ, Tufik S, et al. Gender differences in sleep patterns and sleep complaints of elite athletes. Sleep Sci. 2019;12(4):242–8. doi: 10.5935/1984-0063.20190084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lastella M, Roach GD, Halson SL, Sargent C. Sleep/wake behaviours of elite athletes from individual and team sports. Eur J Sport Sci. 2015;15(2):94–100. doi: 10.1080/17461391.2014.932016. [DOI] [PubMed] [Google Scholar]
  • 9.Bird SP. Sleep, recovery and athletic performance: a brief review and recommendations. Strength Cond J. 2013 Oct;35(5):43–7. [Google Scholar]
  • 10.Fullagar HHK, 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 Feb;45(2):161–86. doi: 10.1007/s40279-014-0260-0. [DOI] [PubMed] [Google Scholar]
  • 11.Fullagar HHK, Duffield R, Skorski S, Coutts AJ, Julian R, Meyer T. Sleep and recovery in team sport: current sleep-related issues facing professional team-sport athletes. Int J Sports Physiol Perform. 2015 Nov;10(8):950–7. doi: 10.1123/ijspp.2014-0565. [DOI] [PubMed] [Google Scholar]
  • 12.Juliff LE, Halson SL, Peiffer JJ. Understanding sleep disturbance in athletes prior to important competitions. J Sci Med Sport. 2015 Jan;18(1):13–8. doi: 10.1016/j.jsams.2014.02.007. [DOI] [PubMed] [Google Scholar]
  • 13.Rosa JPP, Rodrigues DF, Silva A, Simim MAM, Costa VT, Noce F, et al. 2016 Rio Olympic Games: can the schedule of events compromise athletes performance? Chronobiol Int. 2016;33(4):435–40. doi: 10.3109/07420528.2016.1150290. [DOI] [PubMed] [Google Scholar]
  • 14.Sargent C, Lastella M, Halson SL, Roach GD. The impact of training schedules on the sleep and fatigue of elite athletes. Chronobiol Int. 2014 Dec;31(10):1160–8. doi: 10.3109/07420528.2014.957306. [DOI] [PubMed] [Google Scholar]
  • 15.Silva AC, Silva A, Edwards BJ, Tod D, Amaral AS, Borba DA, et al. Sleep extension in athletes: what we know so far - a systematic review. Sleep Med [Internet] 2021 Jan;77:128–35. doi: 10.1016/j.sleep.2020.11.028. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1389945720305281. [DOI] [PubMed] [Google Scholar]
  • 16.Vitale KC, Owens R, Hopkins SR, Malhotra A. Sleep hygiene for optimizing recovery in athletes: review and recommendations. Int J Sports Med. 2019 Aug;40(8):535–43. doi: 10.1055/a-0905-3103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Halson SL. Sleep monitoring in athletes: motivation, methods, miscalculations and why it matters. Sports Med. 2019 May;49(10):1487–97. doi: 10.1007/s40279-019-01119-4. [DOI] [PubMed] [Google Scholar]
  • 18.Claudino JG, Gabbet TJ, Souza HS, Simim M, Fowler P, Borba DA, 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 [Internet] 2019;5(1):e000475. doi: 10.1136/bmjsem-2018-000475. Available from: https://bmjopensem.bmj.com/content/5/1/bmjsem-2018-000475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Simim MAM, Souza HS, Filho CAC, Gianoni RLS, Bezerra RR, Affonso HO, et al. Sleep quality monitoring in individual sports athletes: parameters and definitions by systematic review. [cited ANO Mês dia];Sleep Sci [Internet] 2020 Jul;0(0):1–19. doi: 10.5935/1984-0063.20200032. Available from: https://sleepscience.org.br/details/2756/en-US/sleep-quality-monitoring-in-individual-sports-athletes--parameters-and-definitions-by-systematic-review. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lastella M, Memon AR, Vincent GE. Global research output on sleep research in athletes from 1966 to 2019: a bibliometric analysis. Clocks Sleep. 2020 Jun;2(2):99–119. doi: 10.3390/clockssleep2020010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Barreto SSM, Johns MW. Validação da escala de sonolência de Epworth em português para uso no Brasil. J Bras Pneumol. 2009 Sep;35(9):877–83. doi: 10.1590/s1806-37132009000900009. [DOI] [PubMed] [Google Scholar]
  • 22.Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Miozzo ICS, Barba MEF, et al. Validation of the Brazilian Portuguese version of the Pittsburgh sleep quality index. Sleep Med. 2011 Jan;12(1):70–5. doi: 10.1016/j.sleep.2010.04.020. [DOI] [PubMed] [Google Scholar]
  • 23.Silva A, Queiroz SS, Winckler C, Vital R, Sousa RA, Fagundes V, et al. Sleep quality evaluation, chronotype, sleepiness and anxiety of Paralympic Brazilian athletes: Beijing 2008 paralympic games. Br J Sports Med. 2012 Feb;46(2):150–4. doi: 10.1136/bjsm.2010.077016. [DOI] [PubMed] [Google Scholar]
  • 24.Borba DDA, Reis RS, Lima PHTM, Facundo LA, Narciso FV, Silva A, et al. How many days are needed for a reliable assessment by the sleep diary? Sleep Sci. 2019 Jan/Mar;13(1):49–53. doi: 10.5935/1984-0063.20190131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.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 Apr;50(7):418–22. doi: 10.1136/bjsports-2014-094332. [DOI] [PubMed] [Google Scholar]
  • 26.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 Jan/Mar;11(1):37–44. doi: 10.5935/1984-0063.20180009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Darendeli A, Diker G, Çınar Z. Athlete Sleep Behavior Questionnaire - turkish version: study of validity and reliability. J Turkish Sleep Med. 2019 Jun;6(2):43–8. [Google Scholar]
  • 28.Guillemin F, Bombardier C, Beaton D. Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. J Clin Epidemiol. 1993 Dec;46(12):1417–32. doi: 10.1016/0895-4356(93)90142-n. [DOI] [PubMed] [Google Scholar]
  • 29.Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976) 2000 Dec;25(24):3186–91. doi: 10.1097/00007632-200012150-00014. [DOI] [PubMed] [Google Scholar]
  • 30.Kimberlin CL, Winterstein AG. Validity and reliability of measurement instruments used in research. Am J Heal Pharm. 2008 Dec;65(23):2276–84. doi: 10.2146/ajhp070364. [DOI] [PubMed] [Google Scholar]
  • 31.Hernández-Nieto RA. The coefficient of content validity (Ccv) and the Kappa coefficient (K) in the determination of content validity, using the techinque of “panel of experts”. In: Hernández-Nieto RA, editor. Contributions to statistical analysis. Mérida: Universidad de Los Andes; 2002. pp. 111–75. [Google Scholar]
  • 32.Lynn MR. Determination and quantificatiom of conten validity. Nurs Res. 1986 Nov/Dec;35(6):382–6. [PubMed] [Google Scholar]
  • 33.Souza AC, Alexandre NMC, Guirardello EB. Propriedades psicométricas na avaliação de instrumentos: avaliação da confiabilidade e da validade. Epidemiol Serv Saúde. 2017;26(3):649–59. doi: 10.5123/S1679-49742017000300022. [DOI] [PubMed] [Google Scholar]
  • 34.Halson SL. Stealing sleep: is sport or society to blame? Br J Sports Med. 2016 Apr;50(7):381. doi: 10.1136/bjsports-2015-094961. [DOI] [PubMed] [Google Scholar]
  • 35.Nédélec M, Halson S, Abaidia AE, Ahmaidi S, Dupont G. Stress, sleep and recovery in elite soccer: a critical review of the literature. Sports Med. 2015 Oct;45(10):1387–400. doi: 10.1007/s40279-015-0358-z. [DOI] [PubMed] [Google Scholar]
  • 36.O’Donnell S, Driller MW. Sleep-hygiene education improves sleep indices in elite female athletes. Int J Exerc Sci [Internet] 2017 Jul;10(4):522–530. doi: 10.70252/DNOL2901. Available from: https://pubmed.ncbi.nlm.nih.gov/28674597/ [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016 Jun;15(2):155–63. doi: 10.1016/j.jcm.2016.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Terwee CB, Bot SDM, Boer MR, Van Der Windt DAWM, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007 Jan;60(1):34–42. doi: 10.1016/j.jclinepi.2006.03.012. [DOI] [PubMed] [Google Scholar]
  • 39.LoMartire R. Reliability coefficients - Package “rel.” CRAN [Internet] 2020. Mar, Available from: https://cran.r-project.org/web/packages/rel/rel.pdf.
  • 40.Chandrasekaran B, Fernandes S, Davis F. Science of sleep and sports performance - a scoping review. Sci Sport. 2020 Feb;35(1):3–11. doi: 10.1016/j.scispo.2019.03.006. [DOI] [Google Scholar]
  • 41.Freitas LSN, Silva FR, Andrade HA, Guerreiro RC, Paulo FV, Mello MT, et al. Sleep debt induces skeletal muscle injuries in athletes: a promising hypothesis. Med Hypotheses. 2020 Sep;142:109836. doi: 10.1016/j.mehy.2020.109836. [DOI] [PubMed] [Google Scholar]
  • 42.Ibáñez V, Silva J, Cauli O. A survey on sleep questionnaires and diaries. Sleep Med. 2018 Feb;42:90–6. doi: 10.1016/j.sleep.2017.08.026. [DOI] [PubMed] [Google Scholar]
  • 43.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 May;37(17):2121–5. doi: 10.1080/02640414.2019.1616900. [DOI] [PubMed] [Google Scholar]
  • 44.Maneesriwongul W, Dixon JK. Instrument translation process: a methods review. J Adv Nurs. 2004 Oct;48(2):175–86. doi: 10.1111/j.1365-2648.2004.03185.x. [DOI] [PubMed] [Google Scholar]
  • 45.Polit DF, Beck CT. The content validity index: are you sure you know what’s being reported? Critique and recommendations. Res Nurs Health. 2006 Oct;29(5):489–97. doi: 10.1002/nur.20147. [DOI] [PubMed] [Google Scholar]
  • 46.Wynd CA, Schmidt B, Schaefer MA. Two quantitative approaches for estimating content validity. West J Nurs Res. 2003 Aug;25(5):508–18. doi: 10.1177/0193945903252998. [DOI] [PubMed] [Google Scholar]
  • 47.Field A. Exploratory factor analyses. In: Field A, editor. Discovering statistics using SPPS. 3. London: SAGE Publications Ltd; 2009. pp. 627–85. [Google Scholar]
  • 48.Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. 2005 Feb;19(1):231–40. doi: 10.1519/15184.1. [DOI] [PubMed] [Google Scholar]
  • 49.Streiner DL. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. 2003 Feb;80(1):99–103. doi: 10.1207/S15327752JPA8001_18. [DOI] [PubMed] [Google Scholar]
  • 50.Queiroz S, Ruiz F, Prado J, Silva A, Frange C, Narciso F, et al. The consequences of partial sleep restriction for habitual sleep duration, sleepiness and reaction time in healthy males. Sleep Health [Internet] 2020 Dec;6(6):814–821. doi: 10.1016/j.sleh.2020.04.002. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2352721820301145. [DOI] [PubMed] [Google Scholar]

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