Alternatives to polysomnography (PSG): A validation of wrist actigraphy and a partial-PSG system

Kosmadopoulos, Anastasi; Sargent, Charli; Darwent, David; Zhou, Xuan; Roach, Gregory D.

doi:10.3758/s13428-013-0438-7

Cited by 123 publications

(83 citation statements)

References 31 publications

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“…0.84-0.90) and moderate-to-high correlations for wake time within sleep (i.e. 0.53-0.76) (Jean-Louis et al, 1999;Kosmadopoulos et al, 2014;Weiss et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

The impact of training schedules on the sleep and fatigue of elite athletes

Sargent

Lastella

Halson³

et al. 2014

Chronobiology International

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226

176

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In any sport, successful performance requires a planned approach to training and recovery. While sleep is recognized as an essential component of this approach, the amount and quality of sleep routinely obtained by elite athletes has not been systematically evaluated. Data were collected from 70 nationally ranked athletes from seven different sports. Athletes wore wrist activity monitors and completed self-report sleep/training diaries for 2 weeks during normal training. The athletes also recorded their fatigue level prior to each training session using a 7-point scale. On average, the athletes spent 08:18 ± 01:12 h in bed, fell asleep at 23:06 ± 01:12 h, woke at 6:48 ± 01:30 h and obtained 06:30 ± 01:24 h of sleep per night. There was a marked difference in the athletes' sleep/wake behaviour on training days and rest days. Linear mixed model analyses revealed that on nights prior to training days, time spent in bed was significantly shorter (p = 0.001), sleep onset and offset times were significantly earlier (p < 0.001) and the amount of sleep obtained was significantly less (p = 0.001), than on nights prior to rest days. Moreover, there was a significant effect of sleep duration on pre-training fatigue levels (p ≤ 0.01). Specifically, shorter sleep durations were associated with higher levels of pre-training fatigue. Taken together, these findings suggest that the amount of sleep an elite athlete obtains is dictated by their training schedule. In particular, early morning starts reduce sleep duration and increase pre-training fatigue levels. When designing schedules, coaches should be aware of the implications of the timing of training sessions for sleep and fatigue. In cases where early morning starts are unavoidable, countermeasures for minimizing sleep loss - such as strategic napping during the day and correct sleep hygiene practices at night - should be considered.

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“…0.84-0.90) and moderate-to-high correlations for wake time within sleep (i.e. 0.53-0.76) (Jean-Louis et al, 1999;Kosmadopoulos et al, 2014;Weiss et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

The impact of training schedules on the sleep and fatigue of elite athletes

Sargent

Lastella

Halson³

et al. 2014

Chronobiology International

Self Cite

226

176

View full text Add to dashboard Cite

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“…Non-wear time was defined as periods of at least 60 min of consecutive zeros, which is the most commonly used non-wear definition in adults [17]. Activity counts less than 40 counts per epoch for at least 10 min were used to identify sleep periods [20]. All downloaded data were subsequently reduced using a customized Microsoft Excel macro to determine the total and percentage of time spent sedentary and in different physical activity intensities for each shift and within-shift period (2-h period).…”

Section: Methodsmentioning

confidence: 99%

Firefighters’ Physical Activity across Multiple Shifts of Planned Burn Work

Chappel

Aisbett

Vincent

et al. 2016

IJERPH

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Little is currently known about the physical activity patterns of workers in physically demanding populations. The aims of this study were to (a) quantify firefighters’ physical activity and sedentary time within (2-h periods) and across planned burn shifts; and (b) examine whether firefighters’ activity levels during one shift or 2-h period was associated with their activity levels in the following shift or 2-h period. Thirty-four salaried firefighters (26 men, 8 women) wore an Actical accelerometer for 28 consecutive days. Time spent sedentary (SED) and in light- (LPA), moderate- (MPA) and vigorous-intensity physical activity (VPA) were derived using validated cut-points. Multilevel analyses (shift, participant) were conducted using generalised linear latent and mixed models. Firefighters spent the majority of a planned burn shift (average length 10.4 h) or 2-h period engaged in LPA (69% and 70%, respectively). No significant associations were observed between SED and physical activity levels between consecutive planned burned shifts or 2-h periods. The physical activity that a firefighter engaged in during one shift (or 2-h period) did not subsequently affect their physical activity levels in the subsequent shift (or 2-h period). Further research is needed to establish how workers in physically demanding populations are able to sustain their activity levels over long periods of time.

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“…We also have no way of determining if participants were subjected to external sleep disruptors such as pets, which could have influenced the output. Finally, while we recognise that multiple types of wrist actigraphs have been validated against PSG for multiple sleep outcomes in many groups, [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] not all sleep parameters included in our study have been validated. It remains a possibility that some differences may be present between the first night and subsequent nights according to the actigraph type/manufacture, given that multiple devices are now available.…”

Section: Discussionmentioning

confidence: 99%

Assessment for the possibility of a first night effect for wrist actigraphy in adolescents

2016

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ObjectivesEvidence of a ‘first night effect’ has been documented for polysomnography. The possibility of this has not been previously assessed in wrist actigraphy, yet may have important implications for the study design of future sleep research. We sought to examine potential evidence of a ‘first night effect’ for wrist actigraphy in adolescents across weekdays and weekend nights for multiple sleep outcomes.Design3-year prospective cohort study (Midlands Adolescent Schools Sleep Education Study).Setting8 secondary schools in the Midlands region of the UK.ParticipantsAdolescents (aged 11–13 years at baseline) were recruited to the study and were requested to wear a wrist actigraph for 7 consecutive days/nights at baseline and then annually for 2 years during the second term of the academic year.Primary outcome measuresWe compared multiple sleep outcomes (total sleep time, wake after sleep onset, sleep efficiency, sleep onset latency, number of awakenings, length of awakenings, sleep onset time) when the device was worn on a weekday and weekend and compared these to other nights to identify possible evidence of a ‘first night effect’ for wrist actigraphy.ResultsNo significant differences were found between any sleep outcomes when the first night of wrist actigraphy was on a weekday compared with other weekdays. When the first night was measured on a weekend (Friday), average total sleep time was significantly greater (486±5 min) compared with the second night (Saturday; 469±6 min), p=0.01.ConclusionsWe found no evidence to support a ‘first night effect’ for wrist actigraphy in our adolescent sample. The first night of actigraphy data should not be disregarded in future studies that deploy this technique to measure sleep over prolonged time periods.

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Alternatives to polysomnography (PSG): A validation of wrist actigraphy and a partial-PSG system

Cited by 123 publications

References 31 publications

The impact of training schedules on the sleep and fatigue of elite athletes

The impact of training schedules on the sleep and fatigue of elite athletes

Firefighters’ Physical Activity across Multiple Shifts of Planned Burn Work

Assessment for the possibility of a first night effect for wrist actigraphy in adolescents

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