What this is
- Shift work in healthcare workers affects sleep, alertness, and performance.
- This study analyzed sleep duration and alertness across different shifts among 52 intensive care workers.
- Findings indicate significant sleep restriction and performance impairment, especially during night shifts.
Essence
- Shift work leads to restricted sleep and impaired alertness and performance in healthcare workers, particularly during night shifts. Alertness is most compromised at the end of night shifts due to .
Key takeaways
- Sleep duration is notably restricted between consecutive night shifts (5.74 ± 1.30 h) and evening-to-day shifts (5.20 ± 0.90 h). This limited recovery sleep negatively impacts alertness and performance.
- Alertness and performance decline significantly during night shifts compared to day shifts. Subjective sleepiness ratings were highest at the end of the first night shift, indicating acute impairment.
- Circadian timing affects performance; tests conducted during adverse circadian phases lead to poorer outcomes. Alertness remains impaired despite similar objective performance across consecutive night shifts.
Caveats
- The study's findings may not generalize to other work settings outside healthcare. Variability in shift patterns and lack of control for factors like menstrual phase may limit applicability.
- The reliance on self-reported measures and the small sample size for some analyses may introduce bias and limit the robustness of the findings.
Definitions
- circadian misalignment: Disruption of the body's internal clock, leading to misalignment between sleep-wake cycles and external time cues.
- Karolinska Sleepiness Scale (KSS): A subjective scale measuring sleepiness, ranging from 1 (very alert) to 9 (very sleepy, fighting sleep).
- Psychomotor Vigilance Test (PVT): A test measuring sustained attention and reaction times in response to visual stimuli.
AI simplified
Introduction
In many countries, healthcare workers make up the single largest proportion of shift workers1–3. To facilitate the provision of 24 hour emergency healthcare services and hospital care for the critically unwell, shift work comprising irregular work hours outside of traditional diurnal work times is widely adopted4. These work hours pose a challenge to the healthcare industry as shift work is likely to have major negative implications on patient care and patient safety5–7, in addition to its association with significant economic and productivity costs8,9.
Misalignment of the circadian pacemaker with sleep-wake timing is common in shift workers, particularly during nights10 and results in sleep loss11,12 and excessive sleepiness during work shifts13. The night shift is often associated with extended episodes of wakefulness14–16, particularly on the first night in a series when an individual may wake at a normal time in the morning, and remain awake during the day prior to starting the first night15. Other shift work schedules, which may involve early start or late end times, may also impact sleep duration and increase sleep-wake disturbances17,18. The combined effect of these circadian and sleep-related factors impair alertness and performance while on duty16,19, and often impact on safe driving practices during the commute to and from work20–22.
The time available for recovery sleep prior to and between shifts is an important factor influencing performance during subsequent shifts. Shift workers in the healthcare industry rotate between different shift times23, potentially limiting recovery sleep, particularly when transitioning from shifts that end late and start early the next morning18,24. In recognition of this risk, the European Working Time Directive introduced the requirement for at least 11 hours of rest between shifts25 including in healthcare26,27 to allow sufficient time to commute to and from work and still provide adequate time for sleep. For nurses and doctors in Australia, regulatory guidelines which provide for sufficient rest between shifts, and a limit on the number of consecutive hours worked during a shift is yet to be implemented. As a consequence, Australian healthcare workers engage in a wide variety of hours and under a broad range of roster structures. Therefore, the extent to which these factors interact to affect sleep, alertness and performance has important health and safety implications.
The timing of the sleep opportunity and work period are vital in determining the quantity and quality of sleep and performance at work28. The circadian system promotes sleep at night and wake during the day, resulting in a shorter sleep duration between night shifts29 and furthermore, cumulative sleep loss over successive night shifts. There is generally little circadian adaptation to negate these effects, leading to a general increase in accident and safety risk across consecutive nights10,30.
The aim of the current study was to characterise sleep-wake behaviour, circadian timing and alertness in shift workers in a healthcare setting. We specifically examined sleep and wake duration between shift transitions, temporal patterns of alertness and performance on the first and final night shifts (3rd, 4th or 5th) in a sequence, and alertness and performance in relation to circadian timing during night shifts.
Methods
Participants
Fifty-two nurses and doctors (38 females, 41 nurses) aged between 22 and 64 (n = 50) were recruited from the Intensive Care Unit at Austin Health, Melbourne, Australia. Staff were recruited via e-mail advertising, scheduled in-service information sessions, flyer distribution within the unit and targeted recruitment on shift. No exclusion criteria were applied. Nursing staff engaged in generally irregular combinations of day (07:00–15:30 h), evening (13:00–21:30 h) and night shifts (21:00–07:30 h). Although nurses were typically required to work night shifts for a third of their annual roster, the distribution of shifts scheduled per fortnight varied. Some staff engaged in frequent rotations between day, evening and night shifts and others worked fixed night shifts for multiple consecutive weeks. During participation, the majority of nurses worked a sequence of day shifts and evening shifts followed by consecutive night shifts (n = 28). Additional participating nurses worked evening shifts followed by day shifts (n = 4), evening shifts prior to consecutive nights (n = 4), and 4 nurses worked permanent night shifts. One nurse was assessed on their day schedule after the night shifts. Doctors worked a fixed 4-week rotating roster consisting of 7 consecutive day shifts (08:00–21:00 h), 7 day offs and 7 consecutive night shifts (20:00–09:00 h), followed by 7 consecutive day offs.
Participants provided written informed consent prior to participation and received AU$100 upon completion of the study. The protocol was approved by Austin Health Human Research Ethics Committee and Monash University Human Research Ethics Committee. The study protocol was carried out in accordance with the standards set by the latest revision of the Declaration of Helsinki.
Protocol
An online questionnaire was administered to assess demographic information, alcohol, caffeine and recreational drug consumption, sleep health, shift work history and medical history. Current medication and exercise during participation was recorded in weekly diaries.
Daily sleep-wake behaviour was assessed by wrist-worn actigraphs (Actiwatch Spectrum or Actiwatch Spectrum Plus, Respironics, Bend, OR, USA) and completion of daily sleep diaries. Diaries were completed daily to provide reports on sleep and wake timing and sleep duration, including any naps, in the 24 hours prior. Bedtime and wake time from sleep diaries were used to determine the daily analysis interval for objective actigraphic sleep parameters (Actiware 6 software, Respironics Inc, Bend, OR, USA). Actiware sensitivity was set to medium (40 activity counts) to determine an epoch as sleep or wake. Visual inspection of the graphical data (actogram) was conducted to identify discrepancies between reports of sleep timing in diaries and objective actigraphy, as has been conducted previously31,32. When the information from the sleep diary was not congruent with activity and light data from the actigraph, the analysis window was adjusted based on the following rules (7%, 26 sleep episodes). If a sustained substantial reduction in activity and light was ≥60 minutes prior to or after self-reported bedtime, the start of the analysis window was adjusted in 60-minute increments until it more closely aligned with the time of activity and light reduction. If a sustained substantial increase in activity and light was ≥60 minutes prior to or after self-reported wake time, the end of the analysis window was adjusted in 60-minute increments until it more closely aligned with the activity and light increase31,32. Light levels dropping to or rising above 10 lux was considered an indication of transition to/from sleep attempt. Data cleaning procedures were completed by two independent researchers with referral to a third researcher when conflicts were identified.
The KSS measured subjective sleepiness on a scale of 1 = 'very alert' to 9 = 'very sleepy, fighting sleep'33. The PVT was used as a measure of sustained attention. This task required participants to respond to a visual stimulus presented at random intervals (2–10 seconds), as quickly as possible by pressing on a response box key with their dominant thumb. The stimulus appeared as white digits, on a millisecond counter, on a black background34. During the 5-minute PVT, infrared reflectance (IR) oculography (Optalert™) was used to monitor eyes and eyelid movements20,35. The IR transducers fitted to spectacle frames are positioned towards the eyes to measure the relative velocity of blink durations and the closing and opening of the eyelid. A propriety algorithm using a combination of oculometric variables provides a minute by minute rating of drowsiness known as the Johns Drowsiness Scale (JDS)36. JDS scores range from 0–10, with higher JDS scores representing increased drowsiness.
A series of self-report questions based on a 9-point Likert scale, assessing level of concentration, task difficulty and motivation required to perform the PVT were administered at the end of each test session37.
Urine was collected to assess the rhythm of the urinary melatonin metabolite, 6-sulphatoxymelatonin (aMT6s), as a marker of circadian phase38. Participants collected urine samples for 24–48 hours, at approximately 4-hour intervals while awake and 8-hour intervals during sleep. Each participant completed a collection prior to and during the day shift and on the first and subsequent (3rd,4th or 5th) night shifts on which the alertness and performance tests were administered. Participants recorded void times, collection times and volume of each urine sample. A 5 ml aliquot was stored at −20 °C and was subsequently assayed by radioimmunoassay for aMT6s (Adelaide Research Assay Facility, University of Adelaide) using reagents from Stockgrand Ltd (University of Surrey, Guildford, UK). The assay limit of detection was 0.5 ng/ml, intra-assay coefficient of variation (CV) was 7.4% for the first batch (n = 376 samples) and 6.7% for the second batch (n = 881 samples). The inter-assay CVs were 8.7%, 6.3% and 7.7% at 2.7 ng/ml, 11.5 ng/ml and 19.7 ng/ml, respectively for the first batch and 14.9%, 3.5%, 5.4% at 5.7 ng/ml, 24.1 ng/ml and 41.9 ng/ml respectively for the second batch.
Raster plots of the timing of work (white bars), sleep (grey bars), in-shift alertness testing (closed circles) and aMT6s acrophase (diamonds) for two intensive care doctors (,) and nurses (,). Error bars on the diamonds represent 95% confidence intervals of the timing of acrophase. Doctors worked 7 day shifts, followed by 7 day offs and 7 consecutive night shifts. Nurses worked irregular rotations between day, evening and night shifts. Night shifts were sometimes associated with frequent napping during the shifts () and often a small delay in circadian timing (,). Sleep during the day was usually considerably shorter than night sleep (,). Sleep duration between evening and day shift was considerably truncated (,). Alertness and performance data from doctors tested on the 7night shift are not reported in this manuscript. a b c d a a c b c c d th
Statistical analyses
The duration of wakefulness prior to work between different shift transitions was calculated as shift start time minus actigraphic sleep offset for the main sleep episode between shifts. Due to small sample sizes for the day to night (n = 5) and evening to night (n = 5) shift transitions and no significant difference in the wake duration between the transition types (Independent samples t-test; t(8) = 1.20, p = 0.270), these groups were combined for analyses. To assess time awake between shift transitions, linear mixed model analysis with the shift transition as a fixed effect and participant as a random effect was performed. Pairwise comparisons adjusted using Bonferroni correction were used to analyse differences between the combined day to night and evening to night shift types to other shift transition types.
To assess the impact of prior sleep and wake on test battery performance during shifts, participant sleep-wake characteristics in the 24 hours prior to the start of the day, first and subsequent (3rd, 4th or 5th) night shift associated with testing were calculated from actigraphy. For this analysis only, missing actigraphic sleep data were substituted with data from sleep diaries as per previous studies39 to ensure sufficient power. Subjective sleep timing was determined from self-reported sleep onset and sleep offset times. Subjective total sleep time was calculated as the time between sleep onset and offset, minus the duration of any awakenings reported. Independent samples t-tests were used to assess differences in sleep prior to day shift and the first and subsequent night shift.
Alertness and performance data collected from participants tested on a 3rd, 4th or 5th night shift were combined and analysed as a 'final' night shift to compare against the first night shift. Prior to combining, one-way ANOVAs confirmed that there were no differences in KSS or PVT mean reaction time between those tested on the 3rd, 4th or 5th night shift at the start, middle and end of shifts (p > 0.05). To examine the effect of shift type and time within shift on alertness and neurobehavioral performance, a 3 × 3 repeated measures ANOVA (time within shift [start, middle, end], shift type [day, first night, final night shift]) was used for KSS, PVT, maximum JDS and subjective reports of motivation, task difficulty and concentration. Where the sphericity assumption was not met, Greenhouse-Geisser's correction was applied. Post-hoc comparisons using the Fisher's Least Significant Difference method were performed where statistically significant effects of both shift and time within shift were found.
The timing of the peak (acrophase) of the aMT6s rhythm was determined using cosinor analysis as previously described42. To assess the impact of circadian phase on alertness and performance, KSS and PVT test times on the day, first and final night shift were presented as time since acrophase. Time since acrophase was defined as the difference (in decimal h) between the test time and an individual's aMT6s acrophase on that shift, where positive values represent tests after acrophase and negative values represent tests before acrophase. Spearman's rank order correlation was used to assess the relationship between time since acrophase and KSS, PVT mean reaction time and PVT lapses on each shift.
SPSS version 24.0 (SPSS Inc, Chicago, IL, USA) was used for imputing missing data and all data analyses. Unless otherwise stated, data are presented as mean ± SD values. Significance level was set at 0.05 for all statistical analyses.
| Doctors (n = 11) | Nurses(n = 39) | Participants( = 50)n | ||||
|---|---|---|---|---|---|---|
| Demographics | n | Mean ± SD | Range | Doctors vs Nurses (-value)p | ||
| Sex (female) | 5 | 31 | 0.03 | |||
| Age (years ± SD) | 32.7 ± 5.4 | 34.1 ± 10.6 | 33.8 ± 9.7 | 22–64 | 0.68 | |
| BMI (kg/m ± SD)2 | 27.7 ± 8.1 | 24.6 ± 4.2 | 25.3 ± 5.4 | 16–44 | 0.09 | |
| Night shift experience (years ± SD)) | 7.1 ± 5.9 | 10.1 ± 7.7 | 9.5 ± 7.4 | 0–30 | 0.23 | |
| Caffeine consumption (Cups ± SD)) (Work Day) | 1.1 ± 0.5 | 1.3 ± 0.7 | 50 | 1.3 ± 0.7 | 0–3 | 0.34 |
| Caffeine consumption (Cups ± SD)) (Non-work Day) | 0.9 ± 0.3 | 1.1 ± 0.6 | 50 | 1.1 ± 0.5 | 0–2 | 0.31 |
| Sleep-health measures | ||||||
| Insomnia Severity Index ± SD | 6.3 ± 3.2 | 8.9 ± 5.6 | 50 | 8.3 ± 5.2 | 0–20 | 0.14 |
| Epworth Sleepiness Scale ± SD | 7.6 ± 4.6 | 6.4 ± 3.6 | 50 | 6.7 ± 3.8 | 0–15 | 0.36 |
| <11 | 7 | 33 | 40 | |||
| ≥11 | 4 | 6 | 10 | |||
| Morningness-Eveningness Questionnaire | 32.4 ± 8.6 | 39.0 ± 6.4 | 37.5 ± 7.4 | 20–52 | 0.01 | |
| Definite evening type (16–30) | 4 | 4 | 8 | |||
| Definite morning type (70–86) | ||||||
| Pittsburgh Sleep Quality Index | 6.0 ± 2.4 | 6.6 ± 2.8 | 6.5 ± 2.7 | 2–16 | 0.49 | |
| <5 | 4 | 6 | 10 | |||
| ≥5 | 7 | 33 | 40 | |||
| (Number of consecutive nights worked)Alertness and performance testing | ||||||
| 3 night shifts | - | 15 | ||||
| 4 night shifts | 8 | 9 | ||||
| 5 night shifts | 1 | 2 | ||||
| Shift | Rostered Shift Times (h) | Test Time (Ranges; h) | |||
|---|---|---|---|---|---|
| Doctors | Nurses | Start | Middle | End | |
| Day | 08:00–21:00 | 07:00–15:30 | 05:00–09:29 | 09:30–13:59 | 14:00–18:30 |
| Evening | 13:00–21:30 | ||||
| Night | 20:00–09:00 | 21:00–07:30 | 18:30–23:29 | 23:30–04:29 | 04:30–09:30 |
Results
Participants
Due to the Optalert™ device not detecting eye and eyelid movements accurately following poor fitment of the glasses under the time constraints of the intensive care setting, data from 18 participants (16 nurses, 2 doctors) could not be included in the analysis. Due to corrected vision, an additional 8 participants (3 nurses, 5 doctors) were unable to use this device.
Of the 35 participants included in the alertness and performance analyses, 8 participants (23%) did not have adequate aMT6s data (incomplete collection or poor quality aMT6s rhythm determined by cosinor analysis) for the day, first and final night shift (Fig. 2). Of the remaining 27 participants, an additional 5 (14%) had inadequate aMT6s data for a day shift but first night shift data was used as a substitute. On the first night shift, an additional 10 (29%) participants had inadequate aMT6s data for the first night shift and day shift aMT6s data was used as a substitute. These substitutions were performed based on the assumption that acrophase timings would be the same immediately prior to the first night shift42. On the final night shift, 5 (20%) participants did not have adequate aMT6s data, and data were excluded.
Recruitment Flowchart.
Demographics
Fifty-two participants (41 nurses, 11 doctors) completed data collection. Participants (n = 50) were aged 22–64 years (33.8 ± 9.7 years, mean ± SD), with a body mass index (BMI) ranging from 15.9–43.6 kg/m2 and had an average of 9.5 ± 7.4 years of night work experience (Table 1).
Sleep between shift types
| Actigraphic Sleep(n = 44) | Subjective Sleep(n = 52) | |||||
|---|---|---|---|---|---|---|
| ShiftPattern | Total sleep time between shifts (Mean ± SD) (h) | Range (h) | Sleep entries (n) | Total sleep time between shifts (Mean ± SD) (h) | Range (h) | Sleep entries (n) |
| Day to Day | 5.83 ± 0.92 | 3.15–7.48 | 57 | 6.71 ± 0.96 | 4.00–8.62 | 68 |
| Night to Night | 5.74 ± 1.30 | 2.30–8.57 | 107 | 6.18 ± 1.52 | 1.83–10.33 | 135 |
| Day to Night/Day to Evening | 7.96 ± 1.40** | 5.22–11.08 | 26 | 8.09 ± 2.19** | 2.50–11.98 | 31 |
| Evening to Day | 5.20 ± 0.90 | 3.15–7.28 | 33 | 5.66 ± 0.92** | 4.00–7.42 | 38 |
| Evening to Night/Evening to Evening | 7.53 ± 1.60** | 5.43–10.77 | 18 | 7.92 ± 1.35* | 5.87–11.08 | 22 |
| Off to Off | 7.40 ± 1.28** | 3.75–10.17 | 99 | 8.27 ± 1.72** | 1.83–14.42 | 128 |
| Off to Night/ Off to Evening | 8.00 ± 1.98** | 2.42–12.22 | 45 | 8.50 ± 1.86** | 3.77–12.40 | 57 |
| 1to 2Nightstnd | 5.76 ± 1.24 | 2.30–7.80 | 37 | 5.94 ± 1.61 | 1.83–8.13 | 47 |
| 2to 3Nightndrd | 5.69 ± 1.28 | 2.83–7.48 | 36 | 6.10 ± 1.52 | 2.17–8.88 | 46 |
| 3to 4Nightrdth | 5.70 ± 1.23 | 3.92–8.57 | 18 | 6.55 ± 1.49 | 4.17–10.33 | 23 |
| 4to 5Nightthth | 5.69 ± 1.89 | 2.77–8.10 | 9 | 6.35 ± 1.77 | 3.63–9.72 | 10 |
Duration of wake prior to work between shift types
| Shift Pattern | Time awake from main sleep (Mean ± SD) (h) | Range (h) | Sleep entries(n) |
|---|---|---|---|
| Day to Night/Evening to Night | 12.10 ± 1.99 | 9.08–15.12 | 10 |
| Night to Night | 4.70 ± 2.04* | 0.45–9.03 | 107 |
| Evening to Day | 1.68 ± 0.52* | 0.52–3.12 | 33 |
| Day to Day | 1.78 ± 0.78* | 0.52–5.62 | 57 |
| Day to Evening | 4.78 ± 1.61* | 2.05–8.20 | 21 |
| Evening to Evening | 5.26 ± 1.63* | 3.02–8.00 | 13 |
| Off to Evening | 4.83 ± 1.56* | 2.20–8.27 | 17 |
| Off to Night | 12.15 ± 3.38 | 2.02–17.18 | 28 |
Sleep-wake information prior to alertness and performance testing
Alertness, performance and subjective report for PVT performance of intensive care workers on a day shift and first and final (3/4/5) night shift as measured by () Karolinska Sleepiness Scale, () subjective difficulty, () subjective concentration, () subjective motivation, () PVT mean reaction time () number of PVT lapses () PVT fastest 10% of reaction times and () maximum JDS ( = 9) during the 5-minute PVT. In all figures, higher values represent poorer outcomes. Higher values indicate increased impairment on all measures. Astericks indicate differences between shifts only at the end of shifts * ≤ 0.05, ** ≤ 0.005, and *** ≤ 0.001 indicates the differences in alertness and performance at the end of shifts between day and first night, day and final night and between first and final night shift. rd th th a b c d e f g h n p p p
| Mean ± SD | Mean ± SD | Mean ± SD | First vs Final night shift | ||||
|---|---|---|---|---|---|---|---|
| Day shift | n | First night shift | n | Final night shift | n | p | |
| Wake time (hh:mm) | 5:32 ± 00:40 | 33 | 8:23 ± 01:41** | 29 | 16:06 ± 01:32** | 32 | 0.001 |
| TST, all sleeps (h) | 5.74 ± 1.17 | 33 | 8.19 ± 1.41** | 29 | 6.36 ± 1.18* | 32 | 0.001 |
| Nap (sleep <120 minutes) | 33 | 19.79 ± 36.23** | 29 | 20.56 ± 33.05** | 32 | 0.931 | |
| Time awake from main sleep(sleep ≥120 minutes) (h)# | 2.53 ± 1.31 | 33 | 12.74 ± 2.02** | 26 | 5.25 ± 2.12** | 28 | 0.001 |
| Time awake from last sleep(sleep ≥15 minutes) (h)# | 2.53 ± 1.31 | 33 | 9.76 ± 4.14** | 26 | 4.77 ± 1.86** | 28 | 0.001 |
Subjective sleepiness
Repeated measures ANOVA revealed a main effect of shift (F(2, 64) = 14.17, p < 0.001), time within shift (F(2, 64) = 29.09, p < 0.001), and a shift by time interaction (F(4, 128) = 14.09, p < 0.001) for KSS ratings (Fig. 3a). On both the first and final night shift, KSS ratings were higher at the middle and end of shift compared to the start (all p < 0.010). Pairwise comparisons with Fisher's Least Significant Difference, revealed that during the middle (p = 0.040) and end of shift tests (p = 0.008), first night KSS ratings were consistently higher than on the final night shift. Compared to the final night shift (3.59 ± 1.60), day shift KSS was higher at the start of shifts (4.67 ± 1.36, p = 0.005). There were no differences in start shift KSS ratings between the day and first night shift (p = 0.170). Post hoc tests were conducted to examine whether KSS at the start of the day shift was influenced by working an evening shift the night before. Independent samples t-tests demonstrated that there were no differences in KSS ratings between those who worked a day (4.80 ± 1.81) or an evening shift prior (4.59 ± 1.19, t(22) = 0.34, p = 0.730) to the day shift. The sleep onset time on the night prior to the tested day shift did not differ between those who worked an evening shift (23:22 ± 00:34 h) or a day shift prior (23:25 ± 01:10 h, t(28) = −0.17, p = 0.86).
Subjective difficulty, concentration and motivation
Subjective ratings of difficulty on the PVT revealed an effect of shift (F(1.7, 52.4) = 6.55, p = 0.005), time within shift (F(1.6, 50.8) = 22.17, p < 0.001), and a shift by time interaction (F(4, 124) = 6.35, p < 0.001). At the end of shift, difficulty ratings were higher on the first night shift compared to the final night shift (p = 0.03) (Fig. 3b).
Repeated measures ANOVA revealed a significant effect of shift (F(2, 62) = 15.69, p < 0.001), time within shift (F(1.6, 48.1) = 42.55, p < 0.001), and a shift by time interaction (F(4, 124) = 7.99, p < 0.001) on subjective ratings of concentration on the PVT (Fig. 3c). Concentration ratings in the middle of the first (p = 0.005) and final night shift (p = 0.007) were higher compared to the day shift. At the end of shift, first night concentration ratings were higher than the final night shift (p = 0.020).
ANOVA demonstrated a significant effect of shift (F(2, 62) = 7.76, p = 0.001) and time within shift (F(2, 62) = 10.73, p < 0.001) on subjective motivation (Fig. 3d). There was no significant shift by time interaction observed (F(3.2, 97.9) = 2.11, p = 0.101). On both the first (p = 0.004) and final (p = 0.013) night shift, post-hoc comparisons confirmed that motivation ratings at the end of shift were higher compared to the start of shift. At the end of shift, pairwise comparisons (Fisher's Least Significant Difference) confirmed that motivation ratings were higher on the first night shift compared to the final night shift (p = 0.020).
Johns Drowsiness Scale
The maximum JDS scores from the Optalert ™ device worn during the 5-minute PVT demonstrated a main effect of time (F(2, 16) = 4.96, p = 0.020) with higher values at the middle and end of shifts (Fig. 3h). There was no main effect of shift or a shift by time interaction effect for maximum JDS scores.
Circadian phase
Alertness and performance of intensive care workers relative to aMT6s acrophase on a day (left), first (middle) and final (3–5) night shift (right) shown by the () Karolinska Sleepiness Scale, () PVT mean reaction time, () number of PVT lapses. Zero on the x-axis indicates time of acrophase, positive values represent tests before acrophase (day shift: 0–6 h, 6–12 h, 12–18 h; night shift: −12 to −5 h, −5–0 h, 0–5 h) Grey curves represent aMT6s rhythms averaged for all individuals. Striped horizontal bars represent the average main sleep prior to the start of a shift. Right panel () presents combined graphs of the changes in KSS, PVT mean reaction time and PVT lapses across the day, first and final night shift. rd th a b c d
Discussion
This study demonstrates that alternating between different shift types has a significant effect on the duration of sleep and wake between shifts in intensive care workers. Sleep was most restricted between consecutive night shifts, consecutive day shifts and particularly between evening and day shifts. The first night shift in a sequence was associated with an extended period of wake before the shift. Alertness and performance were most impaired on nights compared to day shifts, with most impairment observed at the end of night shifts when tests were administered at an adverse circadian phase, closer to the timing of aMT6s acrophase. Despite a similar degree of performance impairment on the objective measures for the first and final night shifts, subjective ratings of sleepiness, task difficulty, concentration and motivation indicated increased impairment on the first night shift only. These findings support the concept that rotating shift work significantly alters sleep-wake behaviour between different shift types, and that both sleep and circadian factors drive alertness impairment on night shifts.
Sleep duration was particularly restricted between evening and day shifts ('quick returns'). A common pattern of shifts in nursing, the late end time of the evening shift and the early start time of the subsequent day shift restrict the total break duration, to only 9.5 hours. The current data indicates that these quick returns should be avoided as they provide limited opportunity for recovery sleep. Of the different types of shift transitions worked by intensive care workers, it was expected that the most sleep would be obtained between consecutive day shifts as sleep occurs during the biological night where the circadian drive promotes sleep44. Sleep between consecutive day shifts, however, was not different to sleep between consecutive night shifts, in line with the findings of another study of healthcare workers where nurses also had an early start (07:00 h) to day shifts6. While these findings suggest that the reduced total sleep time between day shifts is likely to be the result of an early shift start, it also reflects on the competing pressures on healthcare workers' sleep time during 'regular' shifts as well as night shifts. Compared to the break duration in the evening to day shift transition (9.5 h), the break duration between consecutive day shifts (nurses: 15.5 h; doctors: 11 h) was longer. While longer break durations generally provide greater opportunity for sleep, there was only 40–60 minutes of difference in sleep duration between evening-to-day shift transitions and consecutive day shifts (subjective sleep: 5.7 vs 6.7 h; objective sleep: 5.2 vs 5.8 h). The short sleep between consecutive day shifts could have resulted from reduced sleep opportunity due to social influences or domestic commitments, or perhaps the result of an expectation of being sleepier on nights, such that there is less importance given to prioritizing sleep on day shifts. On multiple occasions (43% of all main sleeps, sleep ≥120 minutes), total sleep time was below the recommended 7 h for optimal functioning45, supporting findings from other studies that healthcare workers are frequently exposed to chronic partial sleep deprivation7,46. In the current population of intensive care workers however, insufficient recovery sleep on work days appeared to be compensated to some extent with longer recovery sleep (>7 h) during non-work days, and on days when shifts started later in the day (e.g. evening shifts).
Despite short sleep prior to day shift tests, alertness and performance were more impaired on night shifts compared to day shifts. On both the subjective and objective measures, increased impairment was observed at the middle and end of both the first and final night shift compared to the start. Given the timing of tests in relation to aMT6s acrophase, it was likely that KSS ratings and PVT performance were consistently better at the start of night shifts due to the effect of the wake maintenance zone (WMZ), a 2–3 h window of reduced sleep propensity which occurs several hours before habitual sleep onset47. As expected, circadian phase had a significant effect on alertness and performance on both the first and final night shift, demonstrating that tests administered at an adverse circadian phase, defined as closer to the timing of aMT6s acrophase, were associated with poorer alertness and performance outcomes36,48–50. As demonstrated previously, minimal adaptation of circadian phase to night shift was observed, resulting in work schedules that coincided with the maximal circadian drive for sleepiness42. The combined multiplicative effects of being required to perform at an adverse circadian phase when coupled with the increased time awake associated with the latter half of a night shift, makes this time particularly vulnerable to sleepiness-related performance impairments and increases the risks associated with accidents and injuries30,51.
In shift work settings, we would expect increased usage of naps and caffeine to alleviate the high levels of sleepiness experienced during night work52,53. In this population of healthcare workers, napping on nights was minimal, and on work-days, caffeine consumption was low. Significant impairment on night shifts was evident on all measures except JDS scores measured via oculography. Despite the smaller sample size which could have limited the significance of the results, drowsiness tended to be higher towards the middle and end of shifts and a trend for more impairment on nights was also evident36.
In parallel with findings from other shift work studies, temporal patterns of alertness and performance across a day shift remained relatively stable6,19. Subjective sleepiness (KSS) was most impaired at the start of day shifts compared to the middle and end of shifts. We expected participants who worked an evening prior to the day shift to have contributed significantly to the higher KSS ratings at the start of day shifts as their opportunity for sleep was shorter, but this was not apparent. Furthermore, between those who worked a day or evening shift prior to the day shift, no differences in sleep onset time was observed on the night sleep prior. Thus, higher KSS ratings at the start of day shifts were likely due to the combined effects of an early shift start, short sleep prior, circadian phase and sleep inertia54.
The first night shift in a sequence is often preceded by prolonged wakefulness15. By the end of the first night, the continuous time awake often reaches 24 hours or more, and coincides with the circadian nadir for alertness, a time associated with an increased risk of accidents and errors51,55. On subsequent night shifts, the duration of wake prior to the shift is shorter but the effects of sleep restriction are cumulative (causing sleepiness and performance impairments over successive days of reduced sleep duration)56,57. In the current study, the first night was preceded by 12.7 h of wakefulness on average, which was more than twice the duration spent in wakefulness prior to the start of the final night shift (5.3 h). Combined with the effect of working during the circadian low, and increasing homeostatic sleep pressure, we would expect to see differences in alertness and performance between the first and the final night shift. Contrary to studies which have demonstrated increased impairment on the first night on both subjective and objective measures of alertness and performance16,19, we only observed significant first night impairment on the subjective measures, specifically at the end of the first night shift. While this reflects on the high level of anticipation associated with working on several consecutive night shifts, likely related to a perceived state of wellbeing58, it also suggests that subjective measures are likely to overestimate actual performance impairments58. An alternative interpretation is that, given the well-established and increasing mismatch between subjective sleepiness and objective performance over several days of chronic sleep loss59,60, the participants rated their subjective sleepiness accurately with respect to objective performance on the first night due to their acute sleepiness but were unable to do so over subsequent nights.
While this study was conducted in the field and has high ecological validity, applicability of these findings to settings outside of the healthcare environment or to operations implementing alternative rosters (i.e. fixed rather than rotating schedules) may be limited. In this study, we did not consider the influence of a second job, which may have been facilitated by long periods of time-offs and a large number of days off 61. We also note that we did not control for menstrual phase in this female dominated population, although it has shown to impact on attentional failures when accompanied by acute sleep deprivation61. Due to the variability in shift patterns in this setting, data from participants working 3, 4 and 5 night shifts were combined to assess alertness and performance after several consecutive night shifts compared to a first night shift. Although preliminary analyses revealed data were similar between participants tested on the 3rd, 4th and 5th consecutive night shifts, future research should assess alertness and performance on each of these nights separately to examine the impact of each additional night shift. Due to limited data from doctors working 7 consecutive night shifts, the impact of working 7 nights on alertness and performance could not be examined. Future research should examine the impact of working beyond 3 to 5 night shifts to assess the alertness and performance consequences in populations engaging in longer blocks of nights. It was the primary aim of this study to compare alertness and performance on day shifts to night shifts and it was not within the scope to assess waking function on evening shifts. Although the current protocol was able to assess sleep-wake behaviour associated with evening shifts, further assessment of the temporal changes in alertness and performance on evening schedules is warranted.
The current study extends previous simulation16,36,41 and operational studies62,63 by comparing different shift types and transitions, the impact of multiple night shifts and examining temporal changes in alertness and performance during these shifts. Our data suggests that early day shift start times, and evening-to-day shift transitions ('quick returns') should be avoided within safety-sensitive environments. Consideration of shift rotation patterns, shift duration and duration of time off between shifts should all be paramount when designing shift work rotas. The current study demonstrates the need for alertness countermeasures during night shift work. In addition to, but not as a substitute for improved shift patterns, mandatory breaks, and the strategic use of caffeine and naps could help alleviate sleepiness and fatigue during work shifts53,64. Future research should assess operationally relevant errors during the course of the night shift to understand more directly relevant performance impairment during shifts26,51,65,66. To be able to implement targeted interventions to help enhance alertness and performance during shifts, significant focus should be placed on the development and implementation of tools to assess fitness-for-duty during work shifts. This study has identified higher risk schedule patterns that limit sleep and has provided an understanding of alertness and performance impairment during consecutive night work, providing operational evidence for optimising shift designs.
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Supplementary Material