To Nap or Not to Nap? A Systematic Review Evaluating Napping Behavior in Athletes and the Impact on Various Measures of Athletic Performance.

PURPOSE: The objective of this systematic review was to 1) determine how studies evaluated napping behavior in athletes (frequency, duration, timing and measurement); 2) explore how napping impacted physical performance, cognitive performance, perceptual measures (eg, fatigue, muscle soreness, sleepiness and alertness), psychological state and night-time sleep in athletes.
METHODS: Five bibliographic databases were searched from database inception to 11 August 2020. Observational and experimental studies comprising able-bodied athletes (mean age ≥12 years), published in English, in peer-reviewed journal papers were included. The Downs and Black Quality Assessment Checklist was used for quality appraisal.
RESULTS: Thirty-seven studies were identified of moderate quality. Most studies did not include consistent information regarding nap frequency, duration, and timing. Napping may be beneficial for a range of outcomes that benefit athletes (eg, physical and cognitive performance, perceptual measures, psychological state and night-time sleep). In addition, napping presents athletes with the opportunity to supplement their night-time sleep without compromising sleep quality.
CONCLUSION: Athletes may consider napping between 20 to 90 min in duration and between 13:00 and 16:00 hours. Finally, athletes should allow 30 min to reduce sleep inertia prior to training or competition to obtain better performance outcomes. Future studies should include comprehensive recordings of nap duration and quality, and consider using sleep over a 24 hour period (daytime naps and night-time sleep period), specifically using objective methods of sleep assessment (eg, polysomnography/actigraphy).

Introduction

Napping is a ubiquitous behavior and an important public health tool to offset the adverse short- and long-term impacts of inadequate sleep.1 By definition, a nap is any sleep period with a duration of less than 50% of the average major sleep period of an individual.2 A nap is often referred to as a ‘short sleep’ which is distinct from, and considerably shorter than an individual’s normal sleep episode.2,3 Naps may be further categorized into three main types: a) the prophylactic nap: a nap taken in anticipation of sleep loss; b) the replacement nap: a nap taken in response to sleep loss; and c) the appetitive nap: a nap taken for convenience and/or enjoyment.4 Another consideration absent within the sleep literature is the idea that athletes take naps as they are educated that napping may result in recovery and performance benefits. Napping during the day can increase the amount of sleep obtained in a 24-hour period and many athletes report including daytime napping in their training program.5,6 For example, Sargent et al6 demonstrated that more naps were taken on training days compared to rest days, and strategic napping during the day, as well as sleep hygiene practices (ie, healthy sleep practices) at night need to be considered. While several studies have investigated the impact of restricting or extending sleep on a number of outcomes of athletic performance (eg, sprint times, reaction time),7 there has been comparatively less focus on the impact of napping.8,9 It is possible that the lack of dedicated napping research in athletes may limit the ability of athletes, coaches and sports professionals to effectively implement strategic napping within their training programs.

Athletes are exposed to many stressors that impair sleep, including high training loads, competition demands, early morning training, travel and altitude exposure.9,10 As a result, athletes are often unable to obtain the recommended adult night-time sleep duration of 7–9 h per night.11 The majority of research examining athletes’ sleep has focused on the impact of night-time sleep on performance and recovery.7,9 Yet, napping represents an opportunity to supplement the night-time sleep period, which may assist athletes in obtaining recommended sleep. Previous research on non-athletes has shown that napping can improve daytime sleepiness, mood and cognitive performance,12–14 with the magnitude of these effects comparable to other sleep restriction countermeasures (eg, caffeine, modafinil).3 However, despite the recent interest in napping in athletes,7,15 the impact of napping on athletes is yet to be systematically investigated. Therefore, the first aim of this study was to determine how studies evaluated napping behavior in athletes (frequency, duration, timing and measurement). The second aim of the study was to explore how napping impacted physical performance, cognitive performance, perceptual measures (eg, fatigue, muscle soreness, sleepiness and alertness), psychological state and night-time sleep in athletes. This review will provide key recommendations for practitioners and athletes, as well as directions for future research.

Materials and Methods

Protocol Registration

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines.16 The protocol for this review was registered in the PROSPERO database for systematic reviews (CRD42020208652).

Search Strategy

Five bibliographic databases (PsychINFO, PubMed, Scopus, SportDiscus, and Web of Science) were searched for relevant peer-reviewed journal papers from database inception to 11 August 2020. Articles were published in English and the search strategy combined napping terms (“nap”, “daytime sleep”, “siesta”, “midday sleep”, “midday nap”, “afternoon nap”, “daytime sleepiness”) with athlete terms (“athlete/s”, “elite athletes”, “competitive athlete”, “sport”, “player”). In addition to the primary database searches, secondary searchers of reference lists of studies and citing articles meeting the inclusion criteria were carefully hand searched for potential inclusion of additional studies. The detailed search strategy is shown in .

Eligibility Criteria

Studies were included according to the PEOS (Population, Exposure, Outcomes, Study design) format. The PEOS format was preferred over other reporting frameworks (eg, PICO) as the included studies were a mix of observational and interventional designs, which align more closely with the PEOS format.17

Population

Studies with able-bodied athletes, where the mean age of participants was ≥12 years were included. Athletes between 12 and 18 years were included as young athletes as the International Olympic Committee underlies that athletes, especially young athletes should obtain sufficient sleep quantity and quality.18 Athlete was defined as someone who “engages in physical activity or sports with the primary goal of improving performance to bolster athletic excellence and/or achievement”.7,19,20 This did not include non-athletes, such as habitual exercisers, industrial or occupational athletes (eg, military, firefighters, ski patrol) and healthy sedentary or recreationally active volunteers.

Exposure

A nap was defined as “a short sleep” which is distinct from and substantially shorter than an individual’s normal sleep episode.2 In more quantifiable terms, it was defined as “any sleep period with a duration of less than 50% of the average main sleep period of an individual”.21 Subjective (eg, self-report) and/or objective (eg, polysomnography, actigraphy) measures of sleep within the nap period were considered for inclusion.

Outcome

Outcomes included a) physical performance (eg, sprint times, time to exhaustion, grip strength, jump height), b) cognitive performance (eg, reaction time, levels of attention, levels of alertness), c) psychological state (eg, mood, well-being), and d) night-time sleep.

Study Design

Studies that were observational (eg, cross-sectional, case-control, cohort) or experimental (eg, randomized, non-randomized trials, interventional trials) in nature were included.

Other Criteria

Full-text articles published in a peer-reviewed journal and in English language were included. Narrative reviews, systematic reviews, commentaries, viewpoints, editorials and errata documents were excluded. In addition, studies investigating napping behavior of Muslim (fasting) athletes during Ramadan were excluded as fasting may impact athlete’s sleep.

Study Selection

All search results were imported into EndNote X7 software (Thomson Reuters, San Francisco, CA, USA). After removing duplicates, articles were independently screened by two reviewers (ML and ARM), based on title and abstract to determine their eligibility for inclusion. The full-texts of all included articles were then sourced and independently screened by two reviewers (ML and ARM) to ensure they met eligibility criteria. At all stages, conflicts were resolved through consensus or by involvement of a third reviewer (GEV).

Data Extraction

Using a standardized form, the following data were extracted independently by two reviewers (ML and ARM). Any discrepancies were identified and resolved through discussion or by involving a third reviewer (GEV). The extracted data included i) publication details (eg, authors surname, publication year, country); ii) study design (eg, cross-sectional); iii) sample characteristics (eg, age and sex); iv) type of sport; v) napping measurement (eg, actigraphy, self-report); and vi) napping outcomes (eg, duration, frequency and context).

Methodological Quality Assessment

The methodological quality of included studies was assessed using the Downs and Black Quality Assessment Checklist,22 adjusted by the study design of included studies. Two reviewers (ARM and ML) conducted the assessment independently, with cases of uncertainty resolved by involving a third reviewer (GEV). For papers where one of the reviewers (ML) was a co-author, methodological quality assessment of studies was performed independently by two reviewers (ARM and GEV). Included studies were scored on 28 items for interventional, 20 for cohort and 16 for cross-sectional study designs. The overall quality scores were converted to a percentage value and rated as low (0–49%), moderate (50–89%) and high (≥90%).22,23

Results

Study Identification and Selection

The database searches yielded 2730 studies (PsychINFO: 73; PubMed: 122; Scopus: 1029; SportDiscus: 974; and Web of Science: 532). Secondary searches identified an additional relevant study. Duplicate records were removed (n = 630) and the remaining 2101 records were assessed on the basis of title and abstract, with a further exclusion of 1992 studies. A total of 109 studies were eligible for full-text assessment. Of these, 72 studies were excluded because of the following reasons: participants were not athletes (n = 20), the study did not report napping data (n = 31), reviews (n = 7), no full-text (n = 9), non-scientific (n = 2), and Ramadan (n = 3). Thus, a total of 37 studies were included in the final review.5,6,8,24–57 The search process and number of studies retrieved at each stage are shown in Figure 1.

Figure 1

PRISMA flow diagram for the studies included in the review. Notes: Adapted from Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.16 Creative Commons Attribution License.

Study Characteristics

Thirty-seven studies were included in the systematic review, with detailed characteristics in Tables 1 and 2. Due to the amount of diversity and heterogeneity across studies, conducting a meta-analysis was not appropriate. The studies were published between 2009 and 2020 and consisted of 3489 participants.5,6,8,24–57 Both males and females were included in 35.1% (n = 13) of studies,5,6,8,29,30,32,34–36,41,48,50,51 8.1% (n = 3) of studies included females exclusively,37,38,57 and 48.6% (n = 18) studies included males only.24–26,31,33,37,40,42,43,45–47,49,52–56 Three studies (8.1%) did not report sex.27,28,44 The mean age of athletes was 23±4 years. Study designs were as follows: cross-sectional (n = 6),25–30 longitudinal/cohort (n = 14),5,6,31–39,41,57,58 randomized experimental (n = 14),24,42–49,52–56 and non-randomized experimental (n = 3).8,48,50 Athletes participated in 11 different sports (ie, karate, judo, netball, rowing, rugby, running, soccer, swimming, shooting marksmanship, track and field, and ultramarathon).

Table 1

Studies Reporting Nap Characteristics (Frequency, Duration, Timing and Measurement) in Athletes

Author, Year, Country, Study Design	N, Sex, Age	Sport, Nap Assessment	Nap Duration	Time of Nap (hh:mm)	Total Naps	Frequency of Naps
Caia et al 201731AustraliaLongitudinal, observational	7M: 724±2 years	Rugby League, professionalSleep diary, Actigraphy	Pre-season: 51±19 minCompetition: 39±17 min	NR	Pre-season: 8 naps in 7 daysCompetition: 8 naps in 7 days	16 naps taken out of 14 days
Carter al 202032USALongitudinal, observational	121M: 65, F: 56M: 21±1 yearsM: 20±1 years	Multi-sport, individual, team sportSleep diary, Actigraphy (no naps included)	M: 69±10 minF: 72±7 min	NR	NR	NR
Fullagar et al 201625EnglandLongitudinal, observational	15M:1526±5 years	Soccer, professionalSleep diary, Actigraphy	Day of arrival: 65±15 minMatch day 1: 100±35 minMatch day 2: 91±38 min	Day of arrivalStart: 14:27 ± 01:29Wake up: 15:32 ± 01:19Match day 1Start: 14:54±01:28Wake up: 16:34±01:06Match day 2Start: 14:53±0:14Wake up: 16:30±0:32	Day of arrival: 6/15 participants nappedMatch day 1: 7/15 participants nappedMatch day 2: 11/15 participants napped	NR
Fullagar et al 201624GermanyRandomized cross-over	20M: 20NR	Soccer, semi-professionalSleep diary, Actigraphy	Sleep hygiene condition: Baseline: 56±21 minMatch night +1: 66±19 minNon-sleep hygiene condition:Baseline: 42±34 minMatch night +1: 81±2 min	NR	Sleep hygiene condition: 5 napsNon-sleep hygiene condition: 7 naps	NR
Fullagar et al 201626Germany, NetherlandsLongitudinal, observational	16M: 1626±8 years	Soccer, professionalSelf-report questionnaire	Training day: 57±36 minDay game: 30±0 minNight match: 67±29 min	NR	NR	Training day: 10 participants (63%) napped at least onceDay game: 1 participant (1%) nappedNight match: 3 participants (20%) napped
Hurdiel et al 201833FranceLongitudinal, observational	147M: 92>20 years	UltramarathonSelf-report questionnaire	69.6% napped (64 out of 92)14.5±9.5 min	NR	NR
Jones et al 201934AustraliaLongitudinal, observational	70M: 26, F: 4421±4 years	Multi-sport, eliteSleep diary	73±48 min	NR	NR	15 participants reported napping (21%±4%)
Kolling et al 201635GermanyLongitudinal, observational	55M: 30, F: 2518±1 years	Rowing, junior eliteSleep diary	64±32 min	12:00–15:00: 80%<12:00: 13%15:00–18:00: 7%	NR	58–82% participants reported napping
Lastella et al 20155Australia Longitudinal, observational	124M: 104, F: 2022±13 years	Multi-sport, eliteSleep diary, Actigraphy	Individual sport: 45±41 minTeam sport: 59±62 min	NR	Individual sport: 114 napsTeam sport: 70 naps	Individual Sport: 15% nappedTeam Sport: 11% napped
Mah et al 201836USALongitudinal, observational	628M: 343, F: 28,520±1 years	Multi-sport, collegeSelf-report questionnaire	Habitual:Did not nap: 9%<10 min nap: 0%10–30 min nap: 22%30–60 min nap: 43%60–120 min nap: 23%>120 min nap: 2%Pre-game:Did not nap: 44%<10 min nap: 3%10–30 min nap; 26%30–60 min nap: 19%60–120 min nap: 8%>120 min nap: 1%	NR		Habitual: 80% nap at least once per weekPre-game: 11% napped
Martin et al 201830Canada, USA, ItalyCross-sectional	636M: 541, F: 95NR	UltramarathonSelf-report questionnaire	Non-training days:34% napped for 10–20 min37% napped for 30–60 minTraining days:20% napped for 10–20 min40% napped for 30–60 min	NR	NR	Work days: 20% nappedNon-training days: 19% nappedTraining days: 25% napped
Romyn et al 201637Australia Longitudinal, observational	8F: 820±2 years	Netball, eliteSleep diary, Actigraphy	Training: 46±28Competition: 28±34	NR	Training: 10 naps across 4 daysCompetition: 8 naps across 3 days
Sargent et al 20146AustraliaLongitudinal, observational	70M: 46, F: 2420±3 years	Multi-sport, eliteSleep diary, Actigraphy	49±46 min	NR	Total 139 naps recordedTraining days: 115 napsRest days: 24 naps	40 participants (57%) did not report nappingTraining days: 15% nappedRest days: 16% napped
Sargent et al 201438Australia Longitudinal, observational	7F: 723±2 years	Swimming, eliteSleep diary, Actigraphy	Training days: 12±30 minRest days: 0 naps	NR	Training days: 26 naps across 12 days	0 naps on rest days (rest day = 2)
Stevens et al 201839AustraliaProspective cohort	12NR48±14 years	Triathlon, mastersSleep-diary	Baseline: 12±7 minPre-flight: 45±0 minFlight: 0±0 minTraining: 72±31 minPre-race: 45±15 minPost-race: 0±0 min	NR	42% (5 out of 12) athletes napped	Baseline: 67% nappedPre-flight: 8% nappedFlight: 0% nappedTraining: 67% nappedPre-race: 17% nappedPost-race: 0% napped
Thornton et al 201740AustraliaLongitudinal, observational	31M: 3125±4 years	Rugby, professionalSleep diary, Actigraphy	CampMorning (<12:00):30±15 minAfternoon (>12:00):32±18 min	Morning nap (<12:00):Bedtime: 07:05±00:35Get up time: 07:52±00:39Afternoon nap (>12:00):Bedtime: 12:46±00:40Get up time: 12:54±00:41		Morning: 71 naps recordedAfternoon: 85 naps recorded in theHome: 7 participants (23%) nappedCamp: 25 participants (83%) napped
Venter et al 201029South AfricaCross-sectional	890M: 507, F: 38,322±3 years	Multi-sport, elite (team sports only)Self-report questionnaire	NR	NR	NR	32% never napped47% sometimes napped17% napped regularly4% always napped
Walsh et al 201941ScotlandLongitudinal, observational	12M: 9,F: 321±2 years	SwimmingSleep diary, Actigraphy	Rest: 6±10 minTaper: 12±16 minTraining: 23±20 minCompetition: 25±24 min	NR		Rest: 4 (33%) participants nappedTaper: 9 (75%) participants nappedTraining: 11 (92%) participants nappedCompetition: 9 (75%) participants napped

Abbreviations: F, female; M, male; NR, not reported.

Table 2

The Effects of Naps on Physical and Cognitive Performance, Perceptual Measures of Fatigue and Muscle Soreness, Sleepiness and Alertness, Psychological State, and Night-Time Sleep

Author, Year	Sleep Restriction, Nap Opportunity, Performance Measures	Effects of Napping (Physical Performance; Cognitive Performance; Perceptual Measures of Fatigue and Muscle Soreness, Sleepiness and Alertness; Psychological State; and Night-Time Sleep)
Ajjimaporn et al 202042	Sleep restriction: Control 3 h sleepNap opportunity: N20Performance measures: Running-based anaerobic sprint test (RAST), Isometric dynamometer	Physical performance: RAST in Control vs N20: ↓ Maximum power, ↔ Minimum power, ↑ Fatigue, ↑ Leg strength, ↑ RPERAST in 3 h vs 3 h ± N20: ↑ Maximum power, ↑ Minimum power, ↑ Mean power, ↔ Fatigue, ↑ Leg strength, ↔ RPECognitive performance: ↔ Auditory
Blanchfield et al 201843	Sleep restriction: NoNap opportunity: No nap vs N20Performance measures: Motorized treadmill	Physical performance: ↑ RPE, ↑ Time to exhaustion (only for participants that slept <7 h)Perceptual measures of fatigue and muscle soreness, sleepiness and alertness: (ESS) Sleepiness ↓ immediately but returned to ↔ 90 min post napPsychological state: ↔ BRUMS
Boukhris et al 202044	Sleep restriction: NoNap opportunity: No nap vs N40 vs N90Performance measures: Isometric dynamometer	Physical performance: ↑ RPE, ↑ 5MSRT, ↑ Muscle contraction, ↑ Higher distance, ↑ Total distance, ↑ Perceived recovery, ↑ Fatigue index, ↑ DOMS, ↑ DOMS after N90 compared to N40, ↑ all physical performances in N90 than N40Cognitive performance: ↑ Attention, ↑ attention in N90 than N40Perceptual measures of fatigue and muscle soreness, sleepiness and alertness: ↑ (SSS) Sleepiness, ↑ (SSS) Sleepiness in N90 compared to N40Psychological state: ↑ POMS, ↑ tension, depression, fatigue, total mood score, ↔ confusion, ↑ perceived recovery, ↑ perceived recovery in N90 than N40
Brotherton et al 201945	Sleep restriction: Control 3 h for two nightsNap opportunity: N60 ended 3 h before performancePerformance measures: Force velocity platform	Physical performance: Control vs Nap: ↔ Grip strength, ↔ Bench press average power, ↑ Bench press average force, ↑ Bench Press peak velocity, ↔ Time-to-peak velocity, ↔ Leg press average power, ↔ Leg press average force, ↔ Leg press peak velocity, ↔ Leg press distance3 h vs 3 h ± N60: ↑ Grip strength, ↑ Bench press average power, ↑ Bench press average force, ↑ Bench press peak velocity, ↑ Time-to-peak velocity, ↑ Leg Press, ↑ Leg Press average power, ↔ Leg press average force, ↔ Leg press peak velocity, ↑ Leg press distancePerceptual measures of fatigue and muscle soreness, sleepiness and alertness: ↑ (SSS) Sleepiness, ↑ (VAS) AlertnessPsychological state: Sleep Restricted vs Sleep Restricted with Nap: ↑ POMS, vigour, anger, calm, happiness, confusion, depression, fatigue, ↑ Tiredness, ↔ tensionNormal Sleep vs Sleep Restricted with Nap:: ↑ POMS, vigour, calm, happiness, confusion, depression, fatigue, ↑ Tiredness, ↔ anger, tension, ↑ Tiredness
Daaloul et al 201946	Sleep restriction: Control vs 4 h sleep vs 4 h sleep with napNap opportunity: No nap vs N30Performance measures: Optojump optical jump system	Physical performance: Control vs 4 h sleep ± N30: ↔ Karate-specific test, ↔ Squat jump, ↔ CMJ, ↑ Time to exhaustion4 h sleep vs 4 h sleep ± N30: ↑ Karate-specific test, ↑ Squat jump, ↑ CMJ, ↑ Time to exhaustion, ↑ FatigueCognitive performance: ↑ Reaction time, ↑ Mental rotation, ↑ Lower body reactionPerceptual measures of fatigue and muscle soreness, sleepiness and alertness: ↑ (VAS) Alertness
Davies et al 201047	Sleep restriction: NoNap opportunity: N90 60 min after endurance training vs N90 120 min after endurance trainingPerformance measures: Rowing ergometer, Motorized treadmill	Physical performance: ↑ Readiness to perform for exercise 2 h post compared to 1 h postPerceptual measures of fatigue and muscle soreness, sleepiness and alertness: ↔ (VAS) Alertness
Driller et al 201648	Sleep restriction: NoNap opportunity: 45 min in floatation device	Physical performance: ↔ Muscle sorenessPsychological state: Multidimensional mood-state questionnaire = ↑ Worn-out, ↑ At-ease, ↑ Tense, ↑ Fresh, ↑ Exhausted
Hammouda et al 201849	Sleep restriction: 4.5 h sleepNap opportunity: No nap vs N20 vs N90Performance measures: Running-based anaerobic sprint test (RAST)	Physical performance: Both Napping Conditions: ↑ RAST, ↑ Maximum power, ↑ Minimum power, ↑ Mean power, ↑ Fatigue, ↑ N90 than N20
Knechtle et al 201227	Sleep restriction: UltramarathonNap opportunity: Nap vs no napPerformance measures: Race finish time	Physical performance: Nap ↓ race finish time
O’Donnell et al 201857	Sleep restriction: NoNap opportunity: Short nap (<20 min) vs Long nap (>20 min)Performance measures: Linear transducer device	Physical performance: Short nap ↑ CMJ, ↑ Coach performance, ↔ Subjective energy, ↔ Subjective player performance, ↔ Jump height
Pelka et al 201750	Sleep restriction: NoNap opportunity: N20 vs Systematic breathingPerformance measures: Non-motorized treadmill, Contact platform	Physical performance: ↔ Sprint, ↔ CMJPsychological state: ↔ Subjective rating
Pelka et al 201751	Sleep restriction: NoNap opportunity: N20 vs Yoga vs Systematic breathingPerformance measures: Non-motorized treadmill	Physical performance: ↑ Speed, ↔ Maximum power outputPsychological state: ↔ Subjective recovery and stress
Petit et al 201453	Sleep restriction: Control 9 h TIB 5 h phase advanceNap opportunity: N20Performance measures: Cycle	Physical performance: ↔ Wingate, ↔ Peak PowerNight-time sleep: Control condition and 5 h phase advance: ↓ Sleep onset latency, ↔ other sleep variables (eg, TST, SE, sleep stages)
Petit et al 201852	Sleep restriction: Control 9 h TIB 5 h phase advanceNap opportunity: N21	Cognitive performance: Control condition: ↑ Vigilance, ↑ Attentional performance5 h phase advance ± nap: ↑ Vigilance, ↑ Attentional performancePerceptual measures of fatigue and muscle soreness, sleepiness and alertness: Control condition: ↑ (VAS) Alertness5 h phase advance: ↔ (VAS) Alertness
Poussel et al 201528	Sleep restriction: UltramarathonNap opportunity: Nap vs no napPerformance measures: Race finish time	Physical performance: Napping = ↓ race finish time
Romdhani et al 202054	Sleep restriction: 4.5 h sleepNap opportunity: No nap vs N20 vs N90Performance measures: Running-based anaerobic sprint test (RAST)	Physical performance: N20 condition: RAST ↑ Maximum power, ↔ Minimum power, ↔ Mean power, ↑ FatigueN90 condition: ↑ Maximum power, ↑ Minimum power, ↑ Mean power, ↑ Fatigue, ↑ RPEOverall ↑ N90 than N20Cognitive performance: ↑ N20 Reaction timePerceptual measures of fatigue and muscle soreness, sleepiness and alertness: ↑ (ESS) SleepinessPsychological state: ↑ Wellness, ↑ POMSN90 vs N20: ↑ Wellness, ↑ POMS
Romyn et al 201855	Sleep restriction: 9 h vs 8 h + 1 h nap vs 7 h + 2 h napNap opportunity: N60 vs N120Performance measures: Race finish time	Night-time sleep: ↔ Sleep
Suppiah et al 201956	Sleep restriction: NoPerformance measures: Timing gates	Physical performance: ↔ Shooting performance, ↓ Sprint performancePerceptual measures of fatigue and muscle soreness, sleepiness and alertness: In shooting athletes = ↑ Sleepiness (in shooting athletes), ↓ Alertness: In track and field athletes = ↔ Sleepiness, ↔ Alertness
Thornton et al 201740	Sleep restriction: No	Night-time sleep: ↑ Sleep, ↑ TIB, ↑ SE

Abbreviations: ↑, positive effect of napping; ↓, negative effect of napping; ↔, no effect of napping; 5MSRT, 5 Metre Shuttle Run Test; BRUMS, Brunel Mood State Questionnaire; CMJ, counter movement jump; ESS, Epworth Sleepiness Scale; N before any number indicates mins of nap (eg, N20 = 20 min nap); POMS, Profile of Mood State Questionnaire; RAST, Running-based Anaerobic Sprint Test; RPE, rating of perceived exertion; SE, sleep efficacy; SSS, Stanford Sleepiness Scale; TIB, time in bed; TST, total sleep time; VAS, Visual Analogue Scale.

Study Quality

Overall, the risk of bias score ranged from 43.8% to 92.9%, with 2.7% (n = 1)50 considered high quality, 91.9% (n = 34)5,6,8,24–27,29–47,49,51–57 considered moderate quality, and 5.4% (n = 2)28,59 considered low quality. The overall risk of bias for each study is presented in Figure 2A–C) and results for each item of the Downs and Black Checklist are provided in .

Figure 2

The overall risk of bias for each study (A) cross-sectional design (B) longitudinal design and (C) experimental design.

Measuring Naps

Overall, four main types of sleep assessments (eg, questionnaires, sleep diaries, actigraphy, and polysomnography) were used in the included studies. The most common form of sleep assessment was subjective, with ten (27%) studies employing self-report questionnaires26–30,33,36,48,50,51 and seven (18.9%) studies employing self-report sleep diaries.32,34,35,39,49,54,57 Thirteen (35.1%) studies utilized wrist actigraphy as an objective form of sleep assessment,5,6,24,25,31,37,38,40–44,46 whereas six studies (16.2%) used polysomnography, the gold standard in sleep assessment.8,47,52,53,55,56 One study (2.7%) did not report any form of sleep assessment, however, sleep duration was controlled in a laboratory environment.45

Napping Characteristics

In total, 16 (43.2%) studies reported napping characteristics of either frequency, duration and/or timing of naps taken by athletes.5,6,24–26,29,31,32,34–41 There was no consistency across studies for napping frequency (Table 1). Ten (27%) studies reported the percentage of athletes who napped at least once throughout the data collection period.5,6,25,26,29,34,36,39,41,60 For example, Walsh et al41 showed that 33% of the participants (national and international level swimmers) reported napping at least once during a rest period, 75% napped during a taper period, 92% napped during a training period, and 75% napped during the competition period. Five (13.5%) studies reported the total amount of naps taken during the data collection period.6,24,31,37,40 For example, Caia et al31 reported a total of 16 naps were taken during 14 days of data collection with 8 naps taken during a 7-day pre-season period and 8 naps taken during a 7-day competition period in professional Rugby League players. Overall, the percentage of participants that napped across studies ranged between 11% and 100% (Table 1).

The nap durations across all studies inclusive of training, rest, and competition phases ranged from 6 to 120 min. Nap durations were similar between training (43±28 min) and competition (44±24 min) days. However, nap durations were considerably shorter on rest days (6±10 min).41

Only three (8.1%) studies reported nap timing,25,40,60 however reporting was inconsistent. For instance, Fullagar et al25 reported the exact nap start and end times (see Table 1), whereas Kolling et al35 reported the percentage of naps taken before 12:00, between 12:00 and 15:00 and between 15:00 and 18:00. Specifically, soccer players in the Fullagar et al25 study initiated naps at 14:44±01:03 and ended naps at 16:12±00:59. Rugby League players in the Thornton et al40 study were allocated specific times within the training schedule for napping such that naps were taken in the early morning (number of naps <12:00 = 71; start 07:05±00:35, end 07:52±00:18) or afternoon (number of naps <12:00 = 85; start 12:46±00:40, end 13:40±00:47).

In summary, the percentage of participants that napped across studies ranged between 11% and 100%, with highest percentage of naps reported during training compared to rest days. While there was a large variability in the duration of naps (6–120 min), nap durations on training and competition days were similar (43–44 min). Studies reporting data on the timing of naps were scarce with minimal consistency.

Impact of Napping

In total, 17 (45.9%) studies examined at least one element of performance (eg, physical, cognitive), perceptual measures of fatigue or muscle soreness, perceived exertion and/or psychological state (eg, mood, stress). The following results section is divided into a) physical performance, b) cognitive performance, c) perceptual measures of fatigue, muscle soreness, sleepiness and alertness; d) psychological state; and e) night-time sleep.

Physical Performance

The impact of napping behavior on physical performance was assessed using various sport-specific measurement tests (see Table 2). Nine (24.7%) studies found positive effects of napping on measures of physical performance,42–46,49,51,54,57 five (13.5%) studies revealed no impact of napping50,51,53,56,57 and only two (5.4%) studies revealed napping had a negative impact on performance.27,56 In the nine studies reporting positive effects of napping on measures of physical performance, participants were either a) well-rested or b) sleep restricted.

In well-rested athletes from both individual and team sports, Pelka et al50,51 examined the impact of napping (20 min nap) on maximum power using counter-movement jumps (ie, using a force platform) and maximum speed (ie, non-motorized treadmill) using two 6×4 second sprint sessions with 20 seconds breaks. While Pelka et al50 observed no differences in physical performance (speed or maximal power) between the napping and the control condition, improvements in average maximum speed, but not maximum power output were noted. In well-rested elite netballers, O’Donnell et al57 observed improvements in peak jump velocity (via counter-movement jumps) following short naps (<20 min) compared to longer naps (>20 min) and the no nap condition. The authors found that the mean jump velocity was increased following longer naps compared to the no nap condition. However, no differences were observed between conditions for jump height. Further, Boukhris et al44 conducted a comprehensive study examining three different napping conditions (no nap, 40 min nap, 90 min nap) in amateur team sport athletes (soccer, rugby, handball). The findings revealed that maximal voluntary isometric contraction and total distance improved following both the 40 min and 90 min napping conditions compared to no nap. When exploring the differences between nap duration, the 90 min nap condition had greater benefits for maximal voluntary isometric contraction and total distance compared to the 40 min nap condition.

In sleep restricted athletes (range: 3.0–4.5 h), findings revealed consistent positive effects of napping on physical performance.42,45,46,49,54 Ajjimaporn et al42 and Brotherton et al45 both restricted sleep to 3 h of sleep per night in amateur soccer players and weightlifters, respectively. Ajjimaporn et al42 observed improvements in maximum isometric leg strength (via leg dynamometry) and mean power output following a 20 min nap. Although maximal power improved following a nap, this finding did not reach statistical significance.42 Brotherton et al45 examined weightlifting performance using grip strength, bench and leg press between three conditions (control 7.5 h sleep, 3.0 h sleep, 3.0 h sleep plus 60 min nap). Comparisons between the control condition and the 3 h sleep restriction accompanied with a 60-min nap revealed no differences between the control and napping condition. However, the comparisons between 3 h sleep restriction and 3 h sleep restriction plus the 60 min nap condition revealed significant benefits for weightlifting performance, with grip strength, bench press (ie, power, peak velocity, force) and leg press (ie, power, distance) all higher following the 60 min nap compared to the no nap condition. Daaloul et al46 examined the impact of a 30 min nap after 4 h of sleep compared to 7 h of sleep on squat jumps, counter-movement jumps and a karate-specific test. While there was no initial impact of napping on squat jump and counter-movement jumps, following the fatigue induced by the karate-specific tests, the 30 min nap improved squat jump, countermovement jump performance and time to exhaustion compared to the no nap conditions. Further, Hammouda et al49 and Romdhani et al54 used the same napping conditions (no nap, 20 min nap, 90 min nap) following 4.5 h of sleep restriction to examine anaerobic capacity and power using the running anaerobic sprint test.61 Both studies reported significant improvements in power output and fatigue indices. It was also observed that the 90 min nap had greater effects on performance compared to the 20 min nap (Table 2). Blanchfield et al43 examined runners’ time to exhaustion with and without a 90 min afternoon nap. While runners improved their time to exhaustion, previous night-time sleep duration predicted change in time to exhaustion such that naps had a greater influence on runners’ time to exhaustion when they slept less than 7 h the previous night.

Four (10.8%) studies reported napping during an ultramarathon.27,28,30,33 While Martin et al30 explored the sleep habits of ultramarathon runners during training, the authors did not examine the impact of napping during an ultramarathon (Table 1). In addition, Hurdiel et al33 reported that 70% of runners reported napping during the ultramarathon obtaining an average of 23±22 min of sleep. The authors found that the race finish time was positively related to the amount of sleep obtained during the ultramarathon. In contrast, Knechtle et al27 and Poussel et al28 observed that runners that napped during an ultramarathon finished the race significantly slower than those who did not nap. Knechtle et al27 found that a total of 57% runners napped during the ultramarathon with nap durations ranging from 30 to 175 min, while Poussel et al28 revealed that 28% took at least one nap with the majority of participants napping between 15 and 30 min.

Only two (5.4%) studies reported that napping negatively affected physical performance.27,56 While Suppiah et al56 demonstrated that 20 m sprint times were slower following a nap compared to no nap, other measures of performance in this study (other sprint distance times and shooting performance) were not different between the nap and no nap condition. Further, the study by Knechtle et al27 was conducted during a continuous ultra-cycling race (~24 hours in duration) which examined the finish time and found that stopping to nap during the race logically delays the finish time of competitors who napped.

In summary, the physical performance benefits of napping are greater in sleep restricted athletes compared to well-rested athletes. While shorter naps (~20 min) show physical performance benefits, longer naps (~90 min) were likely to yield more benefits to physical performance.

Cognitive Performance

Five (13.5%) studies examined the impact of cognitive performance following napping. Four of the five studies demonstrated a positive influence of napping on cognitive performance.44,46,52,54 Boukhris et al44 examined three conditions (no nap, 40 min nap, 90 min nap) without sleep restriction. While the authors observed that both nap conditions improved attention using the digit cancellation test,62 the 90 min nap condition resulted in greater improvements in attention compared to the 40 min nap condition.

Daaloul et al46 and Romdhani et al54 examined cognitive performance under sleep restricted conditions of 4.0 h and 4.5 h of sleep, respectively. Daaloul et al46 observed improvements in both simple visual reaction time and lower leg reaction time tasks as well as a mental rotation task following a 30 min nap in karate athletes. However, Romdhani et al54 observed improvements in simple reaction time and multiple-choice reaction times following the 20 min nap condition only and not the 90 min nap condition. In comparison to the aforementioned studies, Ajjimaporn et al42 examined reaction time using an auditory reaction time task to examine the impact of a 20 min nap following 3 h of sleep restriction. The authors observed no differences between the control, sleep restricted and napping conditions.42 Finally, Petit et al52 examined the impact on vigilance and attention following a 21 min nap in a 9 h time in bed condition versus a 5 h phase advance condition to simulate jet lag. Regardless of the condition, the 21 min nap improved vigilance and attention performance (Table 2).

In summary, napping improves cognitive performance in the form of visual reaction time, attention and mental rotation tasks. However, no differences were found when reaction time was examined using an auditory reaction time task.

Perceptual Measures of Fatigue and Muscle Soreness, Sleepiness and Alertness

The positive impact of napping on perceived exertion, subjective fatigue and/or vigour was evident in four of the five studies examining the effects of napping on various perceptual measures.42–44,47,54 O’Donnell et al57 demonstrated energy levels remained unchanged in netballers who napped versus those who did not nap. However, it is important to note that O’Donnell et al57 employed a 5-point Likert scale which may have minimized the variability in responses.63 Consistent with the notion of sleep inertia and readiness to perform, Davies et al47 observed that athletes reported greater readiness to perform 2 h post nap versus 1 h post-nap. However, there was no comparison between athletes’ preparedness or readiness to perform compared to a no nap condition.

Two (5.4%) studies examined muscle soreness following napping.44,48 Driller and Argus48 examined the impact of floating in an enclosed, warm, saline-dense water tank for 45 min as a form of recovery in 60 international level athletes. While a single 45 min floatation session improved perceived muscle soreness, 27 athletes who napped during the floatation session did not report any differences in their perceived recovery (Table 2). It is possible that in this study, laying in an enclosed, warm, saline-dense water tank had benefits on muscle soreness itself independent of napping. Boukhris et al44 conducted a comprehensive study examining three different napping conditions (no nap, 40 min nap, 90 min nap). The findings related to recovery revealed that napping had a favourable effect on delayed onset muscle soreness64 and perceived recovery status.65 Further, Boukhris et al44 revealed that the longer nap (90 min) resulted in decreased delayed onset muscle soreness and increased perceived recovery, indicating that longer naps may have a greater impact on recovery than shorter naps (Table 2).

Four (10.8%) studies examined the impact of napping on perceived exertion42,43,54,66 using the original Borg scale67 or the validated French version68 of the Borg scale. All studies revealed napping had a positive impact on perceived exertion such that athletes’ rating of perceived exertion was lower following a nap, particularly under sleep restricted conditions.42,43,54,66

In summary, evidence supports the role of napping in improving perceptual measures of fatigue and muscle soreness, however not perceived energy levels. Naps have the potential to improve athletes’ rating of perceived exertion.

Seven (18.9%) studies employed a measure of sleepiness and/or alertness (Table 2). The three main scales employed to assess sleepiness were the Epworth Sleepiness Scale (n = 1),69 the Karolinska Sleepiness Scale (n = 1)70 and the Stanford Sleepiness Scale (n = 2).71 In addition, three studies examined alertness using a 100-mm visual analogue scale.45–47 All four studies examining sleepiness demonstrated that napping (nap duration range: 20–90 min) improved sleepiness (Table 2).43–45,54 Although Blanchfield et al43 reported sleep inertia with an initial increase in sleepiness immediately following a 20 min nap, runners’ sleepiness scores returned to baseline levels after 90 min.

Similar to sleepiness, two out of three studies reported improved alertness following naps (Table 2).45,46 There was variability in the timing of administration of alertness scales with Daaloul et al46 and Davies et al47 administering the scales either immediately or within 15 min upon wakening, whereas Brotherton et al45 administered the scales 3 h post-nap. Interestingly, out of the three studies examining alertness, Davies et al47 was the only study that did not deprive prior sleep such that participants were not in a sleep-deprived state before napping and subsequently no differences in alertness between the nap and no nap condition were observed.

In summary, napping was found to improve sleepiness and alertness. There was some evidence to indicate sleep inertia; however, this dissipated 90 min post-nap. In circumstances where athletes were well rested, there were no differences for alertness between nap and no nap conditions.

Psychological State

Eight (20.6%) studies examined the psychological impact of napping (Table 2). In these studies, participants were either a) well-rested or b) sleep restricted. In well-rested athletes, Boukhris et al66 revealed that tension, depression, vigour, fatigue and total mood disturbance scores, assessed via the French version of the Profile of Mood State questionnaire,72 improved following both a 40 min and 90 min nap compared to no nap. However, no differences were observed for confusion. Likewise, Driller and Argus48 revealed positive changes in 5 mood-state variables (ie, worn-out, at-ease, tense, fresh, and exhausted), assessed via the multidimensional mood-state questionnaire,59 following a 45 min nap opportunity (mean nap duration: 26±13 min). In contrast, three studies found no differences between napping and no napping conditions on measures of psychological state (eg, Brunel Mood State questionnaire, Profile of Mood State questionnaire and the Short Recovery and Stress Scale) in well-rested athletes.43,45,51

Perhaps unsurprisingly, in circumstances where athletes were sleep restricted, napping had a consistent positive impact on mood.45,54 In studies where sleep was restricted (3.0–4.5 h per night),45,54 napping significantly improved mood as assessed by the Profile of Mood States questionnaire.73 Further, Romdhani et al54 showed that longer naps (90 min vs 20 min nap) resulted in greater positive effects on mood. These data are consistent with data in non-athletic populations indicating that in sleep-deprived individuals, napping showed positive effects on mood.74–76

In summary, data consistently show that napping results in improved mood states. The improvements in mood following napping were more pronounced following both sleep restriction and longer naps.

Night-Time Sleep

Two (5.4%) studies reported the impact of daytime naps on night-time sleep.40,53 Thornton et al40 reported that rugby league athletes in their study were encouraged to nap between 15 and 45 min to avoid any disruptions to their night-time sleep, with nap durations ranging from 30 to 32 min. Athletes that napped during the day went to bed earlier, increased their night-time sleep duration by 30 min and improved their sleep efficiency by 1% compared to those who did not nap. In contrast, Petit et al53 examined the effects of a 20 min nap scheduled following a normal sleep condition and a 5 h phase advance condition. The main findings indicated that a 20 min nap between 13:00 and 14:00 h (normal condition) and between 08:00–09:00 h (5 h phase advance condition) increased sleep onset latency but did not alter any other sleep variables, including sleep staging. In the normal sleep condition, sleep onset latency increased from 13±6 min to 24±12 min. In the 5 h phase advance condition, sleep onset latency increased from 7±4 to 12±13 min. It is important to acknowledge that these recommendations apply to those athletes with regular circadian timing and may not be appropriate for those with extreme chronotypes.

In summary, there are inconsistent findings regarding the effects of daytime naps on night-time sleep onset latency. Daytime nap durations of up to 45 min may increase the time taken to fall asleep at night in athletes.

Discussion

This systematic review is the first to explore a) how studies evaluated napping behavior in athletes (frequency, duration, timing and measurement) and b) how napping impacted physical performance, cognitive performance, perceptual measures (eg, fatigue, muscle soreness, sleepiness and fatigue), psychological state and night-time sleep in athletes. This information is important for athletes and practitioners who provide advice and education to athletes regarding napping.

Why and When Athletes Nap?

Sleep is essential for optimising recovery and athletic performance.7,77 It is well established that athletes’ sleep and wake behaviors are dictated by rest days as well as training and competition schedules such that early morning training, multiple training sessions per day5,38 and night-time competition.24 Sleep disturbances in response to sport-specific conditions show high inter- and intra-individual variability and athletes may experience insomnia symptoms associated with greater sleep fragmentation indices, longer sleep latencies and excessive daytime sleepiness. In this context, daytime napping represents a common compensatory strategy used by athletes to increase sleep duration over a 24 hour period and potentially counteract daytime sleepiness associated with sleep restriction.78 Rest days in athletes may present athletes with opportunities to extend their main night-time sleep duration such that they are less likely to nap on rest days.38

This review showed evidence of athletes engaging in two main types of naps a) the prophylactic nap: a nap taken in anticipation of sleep loss4 and b) the replacement nap: a nap taken in response to sleep loss.4 No studies specifically identified athletes as engaging in the appetitive nap. Although there is no evidence that athletes take naps for convenience or enjoyment, Gupta et al8 applied Harrison and Horne’s79 idea of “sleepability” such that athletes may have a greater ability to nap on demand without prior sleep debt. Gupta et al8 utilized polysomnography to assess sleep latency associated with a 20 min nap opportunity taken at 15:00 h and observed that high-performance athletes showed significantly shorter daytime sleep latencies than non-athletes controls. Further, this difference was maintained even when data were adjusted for pre-trial sleepiness scores and total sleep time. These results suggest that napping may actually reflect the athletes’ “sleepability”, and that the opportunity to take a nap is not necessarily associated with sleep restriction and daytime sleepiness. Field-based studies in athletes’ habitual environment are needed to provide further insight into napping behaviors.

The recuperative value of a nap is dependent on when the nap is taken in regard to the 24 hour circadian rhythm.3 For example, the maximum period of daytime circadian sleepiness occurs in the mid-afternoon (13:00–16:00 h) and is often referred to as the post-lunch dip.80 Experimental studies conducted in non-athlete populations have indicated that naps taken during this time have a greater recuperative value than naps taken at other times of the day.81–83 Despite the established recuperative benefits of napping between 13:00 and 16:00 h, only three studies recorded the timing of naps taken by athletes.25,40,60 Interestingly, these studies generally reported athletes napped between 13:00 and 16:00 h and, similarly, Thornton et al40 observed that only 7% of naps were taken after 15:00. As noted by Sargent et al38 and Lastella et al84 where sleep and wake behaviors were dictated by the timing of training and competition schedules, it is possible that naps were taken between 13:00 and 16:00 h as a result of the opportunity provided between daily training/competition schedules.

Importantly, no study has investigated the association between athletes’ chronotype (the expression of circadian rhythmicity in an individual) and the timing of napping. Chronotype may largely influence sleep behavior, training schedules and the physical or cognitive performance in athletes, with evening-types having delayed sleep onset and offset times and showing peak times for performance later in the day than morning-types.85–87 Therefore, the impact of chronotype on napping behavior in athletes warrants further investigation. Regardless of the reasoning for the timing of naps recorded in this review, the optimal time to nap was identified as the maximum period of circadian sleepiness occurring in the mid-afternoon (13:00–16:00 h).

The Impact of Napping

Overall, the percentage of participants that napped across studies ranged between 11% and 100%.6,24,31,37,40 In the current review, naps not only consistently reduced sleepiness and increased alertness,44–47,54 but also produced favourable outcomes on physical and cognitive performance as well perceptual and measures of psychological state (eg, mood) (Table 2). While the evidence to support the benefits of napping in well-rested athletes was clear,42,45,46,49,54 the physical, cognitive and mood state benefits of napping were greater in sleep restricted athletes.

Cognitive performance is particularly sensitive to sleep restriction such that cognitive functions are the first level of functioning to become compromised.88,89 Upon investigating the studies that examined cognitive performance following napping, it was evident that regardless of participants prior sleep debt, all studies demonstrated a positive influence of napping on cognitive performance.42,44,46,52,54 The duration of naps in studies that investigated cognitive performance outcomes ranged from 20 to 90 min, and several domains of cognition were explored (eg, reaction time, mental rotation, psychomotor vigilance, and attention tasks). Of interest the length of the nap likely influences the strength of cognitive performance improvements. For example, Boukhris et al44 observed greater cognitive effects on a digit-cancellation task designed to examine attention with a longer nap (90 min) compared to a shorter nap (20 min).

Overall, napping between 20 and 90 min improved sleepiness as observed in four studies.43–45,54 Blanchfield et al43 did demonstrate initial signs of sleep inertia with a slight increase in sleepiness immediately following a 20 min nap; however, sleepiness returned to baseline levels after 90 min. Similar findings were observed for alertness with two of the three studies demonstrating positive effects for alertness following naps which was thought to be related to the dissipation of sleep homeostatic pressure.45,46 In non-athletes, studies have shown that short naps provide a wide range of benefits from increasing alertness to improving cognitive outcomes.76,90 Conversely, Davies et al47 did not observe any difference in alertness following a 90 min daytime nap and a potential explanation for this result was that they did not deprive sleep in runners a priori.

Regardless of whether athletes were well rested22,66 or sleep restricted,45,54 napping had a consistent positive impact on measures of psychological state. However, in circumstances where athletes were sleep restricted, napping had a marked positive impact on psychological state.45,54 For example, in studies where sleep was restricted (3.0–4.5 h per night), napping significantly improved mood.45,54 Further, Romdhani et al54 showed that longer naps (90 min vs 20 min nap) had greater psychological benefits to mood. These data are consistent with the data on non-athlete populations indicating that napping showed promising effects on psychological state in sleep-deprived individuals.90

Based on the findings of the present review, there is minimal evidence to indicate that napping is detrimental for athlete’s physical performance. While two studies revealed napping had a negative impact on measures of physical performance,27,56 it is important to acknowledge that Knechtle et al27 examined race finish times during a ~24 hour ultramarathon such that participants napped during the race itself. Suppiah et al56 on the other hand, examined the influence of napping in youth athletes sprint performance under well-rested conditions (ie, 7.8 h time in bed). While there was a decline in the fastest 20 m sprint time between nap and no nap conditions, no differences were observed for any other reaction time or sprint performance measures.56 Although Suppiah et al56 discuss sleep inertia as a plausible explanation for the decline in sprint times, athletes in this study were woken up immediately prior to the onset of Stage 3 sleep (ie, slow wave sleep) to minimize the effects of sleep inertia. Given this was the only negative finding related to physical performance within the study as well as across all studies examined within this review, it is reasonable to conclude that napping does not have a negative impact on physical performance.

Considerations When Implementing Napping for Athletes

Sleep Inertia

Sleep inertia is a transitional state of impaired cognitive performance and reduced alertness upon waking.91 Often colloquially described as a feeling of “grogginess”, the level of sleep inertia impairment is greatest upon waking and usually takes 15–30 min to fully dissipate. However, some studies in non-athletes have observed performance impairments for up to 2 h post-wake.92 Data derived from non-athlete populations indicate that the duration and/or severity of sleep inertia following a nap can be influenced by a number of factors, including a) prior sleep loss/sleep debt; b) being woken up from slow wave sleep;93 c) the amount or percentage of slow-wave sleep in a nap94 and d) time of day.95 While many studies in the current review suggest that sleep inertia may explain their findings (eg, reductions in physical performance56 and alertness43 following a nap), no studies to date have specifically investigated the impact of sleep inertia following napping opportunities on measures of performance in athletes.

Given the known impacts of sleep inertia on measures of performance and alertness in non-athletes, athletes should ensure that there is adequate time (at least 30 min in most cases) for sleep inertia to dissipate following a nap before commencing training or competition. In some cases, it may be possible to accelerate this dissipation by employing known sleep inertia countermeasures, which can be employed proactively (ie, before the nap) or reactively (ie, after a nap). Examples of these countermeasures include caffeine, bright light, sound, temperature and physical activity, and these countermeasures have been reviewed extensively elsewhere.96,97 However, it should be noted that none of these strategies can reliably dissipate sleep inertia within the first 15 min upon waking.96,97 Further, if the goal of the napping opportunity is to benefit performance and/or recovery, and there is no immediate need to perform within 30 min of waking, then the impact of sleep inertia is negligible.

A recent study by our team investigated the possibility whether athletes exercising prior to their night-time sleep periods would exhibit greater amounts of slow-wave sleep in their night-time sleep period, which could subsequently impact the severity and/or duration of sleep inertia.98 This hypothesis could potentially mean that athletes may be more susceptible to the impacts of sleep inertia given (in most cases) that their level of exercise is greater than the general population.98 However, this study concluded that exercise of a moderate-intensity performed 90 min before bed did not negatively impact sleep inertia and there was no relationship between the amount of slow wave sleep in the preceding sleep period and sleep inertia.98 Therefore, it seems unlikely that athletes have a greater likelihood of experiencing enhanced duration and/or severity of sleep inertia compared to non-athletes.

Ensuring a Nap Does Not Impact Night-Time Sleep

Napping has the potential to disrupt night-time sleep. This is dependent on several factors including the duration of the nap, the timing of the nap and prior sleep debt. In general, the longer the nap, the greater the reduction in sleep propensity; thus, if a nap is taken for a longer period later in the day, and the athlete still attempts to sleep at their habitual time of day, the main night-time sleep period, particularly sleep onset latency, may be disrupted. However, only one study by Petit et al53 showed that sleep onset latency increased the night following a 20 min nap opportunity. As stated previously, the optimal time to nap is when the maximum period of circadian sleepiness occurs in the mid-afternoon (13:00–16:00 h), this timing should also protect delays in sleep onset latency and any intrusion into the night-time sleep period.

Limitations

The current systematic review has limitations which should be acknowledged. First, articles were only considered for inclusion if they were published in peer-review journals and written in English, resulting in potential language bias. Second, some studies may have reported napping conditions yet failed to indicate if participants had initiated sleep. For example, Brotherton et al45 stated that participants were required to sleep/rest in a quiet room for 60 min yet, did not provide any data on the number of participants that initiated sleep. Third, articles on napping behavior of Muslim (fasting) athletes during Ramadan and athletes with a disability (eg, Paralympic athletes) were not included in the review. Finally, there is a lack of data reporting nap quality, specifically examining sleep efficiency and/or fragmentation indices (eg, the amount of movement during naps). This is predominantly a reflection of the rapid growth pertaining to sleep in athletes such that main night-time sleep periods have been at the forefront of sleep in athlete research. It is imperative for future studies to provide data examining the napping behaviors of athletes to ensure that sports practitioners and researchers are able to comprehensively examine both quantity and quality of naps in athletes.

Although the overall evidence included in this review was of moderate quality with the majority of experimental or longitudinal studies, it was observed that most of the studies: a) did not include detailed information for nap timing and duration, b) had inconsistencies in reporting of nap frequency, c) focused specifically on the night-time sleep period, and d) relied on self-report data (ie, sleep diaries or questionnaires) to explore napping behavior. Future studies should, therefore, include comprehensive recordings of nap duration and quality, and consider using sleep over a 24 hour period (daytime naps and night-time sleep period), specifically using objective methods of sleep assessment (eg, polysomnography and actigraphy).

Conclusion

Research investigating napping behaviors indicates that napping is common practice among athletic populations. While napping presents athletes with the opportunity to supplement their night-time sleep, evidence also indicates that napping may be beneficial for a range of measures (eg, physical performance, cognitive performance and mood) in athletes (Figure 3). Data from the present review suggest that athletes should aim to nap for between 20 and 90 min between 13:00 and 16:00 hours. Finally, athletes should allow 30 min to reduce sleep inertia prior to training or competition to obtain better performance outcomes. Future studies should utilize objective measurement tools to comprehensively evaluate the frequency, duration, timing of naps in athletes and the resulting impact on athletic performance.

Figure 3

Overview of the evidence examining the impact of napping on various measures of athletic performance.