Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 Aug 10.
Published in final edited form as: J Pineal Res. 2022 May 25;73(1):e12805. doi: 10.1111/jpi.12805

Dynamic lighting schedules to facilitate circadian adaptation to shifted timing of sleep and wake

Shadab A Rahman 1,2, Melissa A St Hilaire 1,2, Leilah K Grant 1,2, Laura K Barger 1,2, George C Brainard 3, Charles A Czeisler 1,2, Elizabeth B Klerman 1,2,4,*, Steven W Lockley 1,2,*
PMCID: PMC11316502  NIHMSID: NIHMS2010955  PMID: 35501292

Abstract

Circadian adaptation to shifted sleep/wake schedules may be facilitated by optimizing the timing, intensity and spectral characteristics of light exposure, which is the principal time cue for mammalian circadian pacemaker, and possibly by strategically timing non-photic time cues such as exercise. Therefore, circadian phase resetting by light and exercise was assessed in 44 healthy participants [22 females, mean age (±SD) 36.2 ± 9.2 years] who completed 8-day inpatient experiments simulating night shiftwork, which included either an 8-h advance or 8-h delay in sleep/wake schedules. In the advance protocol (n=18), schedules were shifted either gradually (1.6 h/day across 5 days) or abruptly (slam shift, 8 h in one day and maintained across 5 days). Both advance protocols included a Dynamic Lighting Schedule (DLS) with 6.5-h exposure of blue-enriched white light [704 melanopic Equivalent Daylight Illuminance (melEDI) lux] during the day and dimmer blue-depleted light (26 melEDI lux) for 2 h immediately before sleep on the shifted schedule. In the delay protocol (n=26), schedules were only abruptly delayed but included four different lighting conditions: (1) 8-h continuous room-light control; (2) 8-h continuous blue-enriched light; (3) intermittent (7 × 15-min pulses/8 hours) blue-enriched light; (4) 8-h continuous blue-enriched light plus moderate intensity exercise. In the room-light control participants received dimmer white light for 30 min before bedtime whereas in the other 3 delay protocols participants received dimmer blue-depleted light for 30 mins before bedtime. Both the slam and gradual advance protocols induced similar shifts in circadian phase (3.28 h ± 0.37 vs. 2.88 h ± 0.31, respectively, p=0.43) estimated by the change in the timing of timing of dim light melatonin onset (DLMO). In the delay protocol, the continuous 8-h blue-enriched exposure induced significantly larger shifts than the room light control (−6.59 h ± 0.43 vs. −4.74 h ± 0.62, respectively, p=0.02). The intermittent exposure induced ~60% of the shift (−3.90 h ± 0.62) compared to 8-h blue-enriched continuous light with only 25% of the exposure duration. The addition of exercise to the 8-h continuous blue-enriched light did not result in significantly larger phase shifts (−6.59 h ± 0.43 vs. −6.41 h ± 0.69, p=0.80). Collectively our results demonstrate that, when attempting to adapt to an 8-h overnight work shift, delay shifts are more successful, particularly when accompanied by a DLS with high melanopic irradiance light stimulus during wake.

Introduction

Many physiological processes are under circadian regulation (as reviewed in [16]). Disruption of circadian rhythms are associated with impaired neurobehavioral performance (e.g., [79]), adverse health outcomes (e.g., [1012]) and increased risk of errors and accidents (e.g., [1316]). Light exposure is the most robust environmental time cue for resetting the central circadian clock in humans [17, 18]. The magnitude of these resetting effects depend on the intensity [19], timing [20, 21], spectral composition [22], duration [23, 24], pattern [2527] and history of light exposure [28]. The circadian system of shiftworkers rarely adapts to the changes in sleep-wake and light/dark cycles associated with working night shifts and therefore circadian disruption and sleep loss are common, and likely contribute to adverse health and safety outcomes [2933].

Improved lighting schedules remain the most promising countermeasure to facilitate circadian adaptation to shiftwork (e.g., [3438]). Specifically tuning the lighting characteristics may optimize lighting countermeasures for circadian phase resetting (e.g., [3444]). Both duration and irradiance of light exposure follow a non-linear relationship with circadian phase resetting such that short-duration (i.e., several minutes) and indoor illuminance (~100 lux) exposures induce robust phase resetting that is approximately half of the maximal response that can be attained with long duration (~6 h) and very bright (10,000 lux) exposures [19, 23, 24]. Intermittent light exposures also induce responses that are non-linear with respect to light duration; for example, six 15-minute pulses of 10,000 lux light delivered over 6.5 hours induce ~75% of the phase resetting induced by a single 6.5-hour continuous bright light pulse, despite having only 23% of the duration [26, 27]. The timing of light is also crucial: light exposure in the early part of the night in normally entrained individuals induces phase delays whereas exposure in the morning shortly after the circadian nadir of the core-body temperature rhythm (approximately 7 to 8 hours after the onset of melatonin secretion) induces phase-advance shifts, and therefore, light needs to be appropriately timed to induce the desired shift [20, 45]. Finally, the spectrum of light used is also an important consideration. The principal photoreceptors that mediate circadian phase resetting are the intrinsically photosensitive retinal ganglion cells (ipRGCs), which express the photopigment melanopsin that is preferentially sensitive to short-wavelength (λmax ~480 nm) blue light [4651]. Therefore, light enriched with short-wavelengths induces more robust phase resetting [45], whereas light depleted in the short-wavelength range induces less phase resetting and stimulant effects [5254]. Manipulating these properties, including varying them over time to create dynamic lighting schedules, can improve and possibly optimize circadian phase resetting and promote circadian adaptation to shifted sleep-wake schedules.

Non-photic cues such as the timing of daily exercise have also been shown to induce modest shifts in the timing of the central pacemaker [5561]. Several studies have reported significant phase delays of the central pacemaker in humans induced by high- to moderate-intensity exercise conducted overnight [55, 56, 61], although some studies examining the interaction between bright light exposure and exercise have failed to observe an additive response [58, 62].

In the current study, we examined multiple approaches to resetting the circadian clock to facilitate adaption to a typical overnight shift experienced by shiftworkers. First, we compared two interventions designed to phase advance the clock by implementing a dynamic lighting schedule with blue-enriched (high melanopic) white-appearing light during most of the wake episode and blue-depleted (low melanopic) white-appearing light shortly before sleep in concert with either a gradual (over 5 days) or an immediate (‘slam’) 8-hour advance of the sleep-wake schedule. Immediate (slam) shifts are commonly applied in various shift work settings, even outside of spaceflight. Second, we compared multiple dynamic lighting interventions designed to facilitate an 8-hour immediate phase delay of the sleep-wake schedule, including a continuous 8-hour blue-enriched white light exposure with and without intermittent exercise, an intermittent blue-enriched light exposure, and a continuous background lighting control. We hypothesized that the gradual condition would be most effective in the advance group and that the continuous blue-enriched light alone would be most effective in the delay group.

Methods

Participants

We studied 44 healthy individuals (22 females, mean age (±SD) 36.2 ± 9.2 years; Table 1) in an 8-day inpatient protocol in the Intensive Physiology Monitoring Unit in the Center for Clinical Investigation at Brigham and Women’s Hospital. All participants had comprehensive physical, psychological and ophthalmologic exams, including a negative Ishihara color blindness test, with nonremarkable results. Before entering the study, participants were instructed to maintain a regular, self-selected sleep schedule (8 h time in bed) and report to a time- and date-stamped voicemail at bedtime and waketime for three weeks. Compliance was confirmed with actigraphy (Actiwatch-L, Minimitter, Inc., NY) for at least seven days prior to admission. Participants were instructed to refrain from use of any prescription, non-prescription and illicit drugs, including caffeine, nicotine and alcohol. Compliance was confirmed by urine and blood toxicology during screening and upon admission. The study was approved by the Partners Human Research Committee (IRB# 2007P002526 and 2013P001288) and all participants provided written informed consent.

Table 1.

Demographics and circadian phase of individual participants

ID Age (years) Sex Protocol Condition Habitual Wake Time (hh:mm) Initial Phase (hh:mm) Final Phase (hh:mm) Phase Shift (hours)
30H1V2T2 29 M Advance GR 7:02 20:56 18:23 1.56
3214V2T2 30 F Advance GR 6:11 19:35 16:28 2.11
3340V 26 F Advance GR 6:04 18:56 15:36 2.33
3183V3T2 42 M Advance GR 6:52 20:15 17:46 2.49
3351V 43 M Advance GR 5:54 18:45 14:33 3.20
3164V3T3 46 F Advance GR 7:50 22:50 18:15 3.59
3333V 44 F Advance GR 7:00 20:53 16:11 3.70
3365V 46 F Advance GR 4:16 17:57 13:50 4.11
28E6V2T3* 30 M Advance GR 8:33 - - -
3414V 55 M Advance SL 7:14 23:26 5:05 −6.65
3324V 44 M Advance SL 7:52 19:39 17:30 1.16
3314V 30 F Advance SL 8:02 19:45 15:58 2.78
3379V 39 M Advance SL 7:02 19:45 16:48 2.95
3332V 30 M Advance SL 7:19 19:51 15:45 3.10
3308V 25 M Advance SL 7:51 21:53 18:15 3.63
3357V 36 F Advance SL 8:05 21:39 16:52 3.79
3341V 49 F Advance SL 7:39 21:49 16:29 4.33
3323V 26 F Advance SL 7:16 20:15 14:44 4.51
3515V 27 F Delay IM 5:58 20:08 0:48 −5.67
3523V 27 F Delay IM 6:24 21:51 2:29 −5.62
3534V** 26 M Delay IM 7:00 23:26 2:06 −3.68
3507V5T2 30 M Delay IM 7:03 20:39 23:18 −3.65
1317V5T3 52 M Delay IM 7:00 20:09 22:01 −2.86
3543V 51 F Delay IM 6:32 20:02 20:55 −1.88
3506V 30 F Delay RM 6:53 18:51 0:18 −5.44
3447V 36 M Delay RM 6:00 21:00 1:26 −5.42
3431V 27 M Delay RM 9:58 22:46 2:52 −5.09
3467V5T1** 30 F Delay RM 8:15 22:23 3:26 −5.06
3545V 44 F Delay RM 5:30 18:58 21:44 −3.78
3443V 53 M Delay RM 6:00 18:39 21:09 −3.50
3635V7T3 31 F Delay EX 8:30 21:00 5:51 −8.86
3381V7T2 28 M Delay EX 10:02 23:56 7:26 −7.49
2056V6T4 37 M Delay EX 6:59 21:07 3:33 −7.43
3624V6T2 43 M Delay EX 5:29 19:52 1:41 −6.81
3661V6T3 28 F Delay EX 7:32 18:36 23:47 −6.17
3625V6T2 29 F Delay EX 6:57 20:54 0:13 −4.32
3664V 33 M Delay EX 6:00 19:01 21:47 −3.77
3437V 28 F Delay LE 7:25 20:26 3:36 −8.16
3358V5T2 29 M Delay LE 7:51 21:20 5:02 −7.71
3469V5T2 37 F Delay LE 7:58 23:04 6:05 −7.02
3747V 30 F Delay LE 6:44 19:21 0:46 −6.43
3448V 55 F Delay LE 6:10 22:13 3:31 −6.31
3439V 35 M Delay LE 7:59 20:35 1:10 −5.57
3416V2T3 48 M Delay LE 7:01 19:58 23:57 −4.98
*

An initial DLMO could not be calculated due to missing blood samples due to IV failure during the first scheduled sleep episode.

**

Salivary melatonin

Study protocol

Participants were studied in an environment free of time cues (no access to windows, clocks, watches, live television, radio, internet, telephones and newspapers and continually monitored by study staff trained not to reveal time-of-day information). The 8-day study schedule consisted of a baseline day with 8:16 h sleep:wake schedule followed by 5 days with shifted sleep/wake schedules followed by a 30-h constant routine (CR) protocol (detailed below), an 8-h recovery sleep and then discharge (Figure 1A to F).

Figure 1. Study protocol and spectral power distribution diagrams.

Figure 1.

Representative study protocol rasters (A-F) for participants scaled for a self-selected habitual bedtime of midnight to 8 am. Black represent scheduled sleep episodes. Colored and white bars represent scheduled wake under different lighting conditions. Hashed bars represent the 30-h constant routine interval. Spectral power distributions for all lighting conditions used in the study are shown in G-L. Note that total light irradiance varied within in each of the lighting conditions, but only the highest irradiance used in each light condition is shown for presentation purposes.

Sleep was shifted either 8 h earlier (advance protocols) or later (delay protocols) relative to each participant’s centered average self-selected bedtime maintained in the week prior to the inpatient protocol. There were two types of advance protocols; either a gradual shift of scheduled sleep by 1.6 h each day over 5 days for a total of 8 h advance [Gradual condition (GR); n=9; 5F] or an abrupt shift of scheduled sleep by 8 h [‘slam’ condition (SL); n=9; 4F] (Figure 1). Both advance protocols included a Dynamic Lighting Schedule (DLS) with 6.5-h exposure of blue-enriched white light during the day and dimmer blue-depleted light for 2 h immediately before sleep during the first four days on the shifted schedule.

In the delay protocols, scheduled sleep was shifted 8 h later abruptly (‘slam’) also starting on the second day of the protocol. There were four types of delay ‘slam’ protocols, all with an immediate shift of scheduled sleep by 8 h but varying lighting conditions and physical exercise on the first days with the shifted schedule. The four protocols consisted of: (1) 8 h of blue-enriched white light (LE n=7; 4F), (2) 8 h of blue-enriched white light with the addition of intermittent moderate-intensity exercise (LE-EX, n=7; 3F), (3) intermittent (IM) exposure to 7 cycles of 15-min pulses of blue-enriched lighting over the same 8 hours as the 8-h continuous blue-enriched exposure condition (n=6; 3F), and (4) a room-lighting (RM) control condition with 8 h of continuous indoor-intensity white light exposure over the same 8 hours as the 8-h continuous exposure condition (n=6; 3F). All participants except those in the RM condition were exposed to 2 hours (advance) or 30 minutes (delay) of dimmer blue-depleted light prior to bedtime (Figure 1). Participants in the RM condition received dimmer white light for 30 min before bedtime. Whenever participants were awake and not under waketime or pre-bedtime experimental light exposure conditions, they were exposed to ambient lighting. All lighting conditions are detailed below.

During the 30-h CR participants remained awake in constant semi-recumbent posture in dim light with daily nutrition intake divided into hourly portions (150 mEq Na+/100 mEq K+ (± 20%) controlled nutrient, isocaloric [basal energy expenditure x 1.3] diet, 2,500 mL fluids/24h).

Lighting Conditions

Ambient lighting:

The light intensity was approximately 23 μW/cm2 (~55 melEDI lux, ~89 lux) at 137 cm from the floor in the vertical plane and had a maximum of 48 μW/cm2 (~93 melEDI lux, ~150 lux) at 187 cm from the floor in the horizontal plane anywhere in the room. On the first day, beginning 6 hours immediately prior to sleep, and during the 30-h CR, maximum ambient light was decreased to approximately 0.87 μW/cm2 (~2 melEDI lux, ~3.3 lux) at 137 cm from the floor in the vertical plane and had a maximum of 4.8 μW/cm2 (~9 melEDI lux, ~15 lux) at 187 cm from the floor in the horizontal plane anywhere in the room. Additional radiometric and photometric information are provided in Table 2. Ambient room lighting was generated using ceiling-mounted 4100 K fluorescent lamps (melDER ~0.61) (F96T12/41U/HO/EW, 95W; F32T8/ADV841/A, 32W; F25T8/TL841, 25W; Philips Lighting, The Netherlands) with digital ballasts (Hi-Lume 1% and Eco-10 ballasts, Lutron Electronics Co., Inc., Coopersburg, PA) transmitted through a UV-stable filter (Lexan 9030 with prismatic lens, GE Plastics, Pittsfield, MA). Regular illuminance and irradiance measures were recorded using an IL1400 radiometer/photometer with an SEL-033/Y/W or SEL-033/F/W detector, respectively (International Light, Inc., Newburyport, MA).

TABLE 2.

Calculated and measured characteristics of the light sources studied *

Lighting condition Radiometric and Photometric Values (380–780 nm inclusive) Retinal Photopigment Weighted Illuminances (α-opic EDI lux)
Photon flux photons/m2/s Irradiance μW/cm2 Photopic Illuminance lux Measured CCT S Cone Rod M Cone L Cone Melanopsin DER
4100K Ambient <15 luxa 1.35 × 1017 4.6 12.2 3082K 5.3 8.5 10.3 12.6 8.1 0.66
2700K Pre-bed 50 luxb 5.28 × 1017 17.8 51.6 2533K 14.8 30.8 40.2 52.9 26.3 0.51
4100K Ambient 90 luxc 7.25 × 1017 25.3 78.0 3583K 42.6 53.4 67.4 78.8 48.6 0.62
4500K Control 90 luxc 8.23 × 1017 29.1 94.0 4582K 59.5 69.3 85.2 93.1 64.6 0.69
4500K Pre-bed 50 luxa 4.50 × 1017 15.9 51.4 4534K 31.2 38.2 46.8 50.8 35.4 0.69
6500K Active LE 750 luxc 7.16 × 1018 260.0 750.8 6398K 794.3 690.5 724.2 751.1 703.8 0.94
*

Values were derived from the CIE S 026 α-opic Toolbox – v1.049 – 2020/03/26 [63].

a

Measures were taken 183 cm from the ground in the horizontal plane.

b

Measures were taken at a height of 137 cm at the bed, ~152 cm from the light source in the vertical plane.

c

Measures were taken at a height of 137 cm at the desk, ~61 cm from the light source in the vertical plane.

EDI = equivalent daylight (D65) luminance (lux); DER = daylight (D65) efficacy ratio.

Optimization of light timing using model simulations:

Timing of all light exposures, as described below, was informed by simulations of our mathematical model of the effects of light on the circadian system [64, 65]. Model simulations were initialized based on DLMO timing (described below) from 11 participants studied previously using the same baseline procedure [66]. Simulations were performed to test the timing and duration of light exposure that would maximize the phase shift magnitude for each protocol type across all 11 simulated participants. For the advance protocol, light exposure durations from 0 to 6.5 hours and light exposure timing from 0 to 6.4 hours after habitual wake were tested; the final selected timing and duration maximized phase advances (target: 8-hour advance) and minimized the occurrence of a phase shift in the delay direction across all 11 participants. For the delay protocol, a similar approach was used in which initial DLMO was varied over a range from 4 hours prior to habitual bedtime to 1 hour after habitual bedtime in 0.5-hour increments and endogenous circadian period (τ) was varied from 23.5 h to 24.8 h in 0.1-h increments. We did not have preliminary phase delay shift data to test against the model as we did for the advance protocol; therefore, light exposure durations from 4 to 8 hours and light exposure timing from 10 hours before habitual wake to 6 hours before habitual wake were tested; the final selected timing and duration maximized phase delays (target: 8-hour phase delay) and minimized the occurrence of a phase shift in the advance direction across all DLMO/τ combinations. The light input to the model (in photopic lux) and its effect on the circadian system was calibrated based on the phase resetting in response to ceiling-mounted 4100 K fluorescent lamps and does not account for the differential sensitivity of the circadian system to short-wavelength blue light; we estimated 1500 lux as light input to the model during scheduled light exposures was the best approximation for the anticipated effect of ~750 melEDI lux of blue-enriched white LED light.

Experimental lighting for advance protocols:

All participants in the phase advance protocols were exposed to high intensity blue-enriched white LED light (~704 melEDI lux, ~260 μW/cm2, ~750 lux, 0.94 melDER, ~6500 K; measured at the eye 137 cm from the ground and 61 cm away from the source in a seated position at a desk with the lighting modules directly in front of the participant; Table 2); for 6.5 hours beginning on day 2, starting 1.6 h before scheduled wake-time on baseline day 1 and then 1.6 hours earlier each day thereafter until the CR for both the gradual and slam shift. Participants were exposed to dimmer blue-depleted white LED light (~26 melEDI lux, ~18 μW/cm2, ~52 lux, 0.51 melDER, ~2700 K; measured at the eye 137 cm from the ground and 152 cm away from the source in a semi-recumbent position in bed with the lighting modules directly in front of the participant) for 2 h before bedtime (Table 2).

Experimental lighting for delay protocols:

Participants in the delay protocols were exposed to experimental light for 8 hours beginning on day 2, starting 1.6 h before scheduled bedtime on baseline day 1. Seven participants received high intensity blue-enriched light (as described above for the advance conditions) and six received room-intensity ambient white LED light (~65 melEDI lux, ~29 μW/cm2, ~94 lux, 0.69 melDER, ~4500 K; measured at 137 cm from the ground and 61 cm from the light source) (Table 2). Participants in the optimized light condition were exposed to dimmer blue-depleted light (as described above) for 0.5 h before bedtime, whereas participants in the standard lighting condition were exposed to dimmer ambient white LED light (~35 melEDI lux, ~16 μW/cm2, ~52 lux, 0.69 melDER ~4500 K; measured at 137 cm from the ground and 152 cm from the source; Table 2). In the intermittent light exposure protocol, the start and end of the lighting intervention were identical to the continuous light protocol but participants received 7 cycles of 15-min pulses of high intensity blue-enriched white LED light (~704 melEDI lux, ~260 μW/cm2, ~750 lux, 0.94 melDER, ~6500 K; measured at the eye 137 cm from the ground and 61 cm away from the source in a seated position at a desk with the lighting modules directly in front of the participant; Table 2) every 63 to 64 min over 8 hours. In between the pulses, participants were exposed to the room-intensity ambient white LED light (~65 melEDI lux, ~29 μW/cm2, ~90 lux, 0.69 melDER, ~4500 K; measured at the eye 137 cm from the ground and 61 cm away from the source in a seated position at a desk with the lighting modules directly in front of the participant).

Experimental light was generated by custom designed four-channel (red, green, blue, white) LED fixtures (Bionetics, VA, USA). Spectrophotometry recordings were made using a PR-650 SpectraScan Colorimeter (CR-650, PhotoResearch Inc., Chatsworth, CA, USA). The spectral power distribution plots for each of the four Correlated Color Temperature (CCT) conditions that comprised the ambient and experimental lighting conditions are presented in Figure 1 GJ. These spectral recordings were used to calculate retinal photopigment weighted illuminances using the Commission Internationale de l’Eclairage (CIE, International Commission on Illumination, Austria) S 026 Toolbox (CIE S 026/E:2018) at 4 nm increments [63]. Results are presented in Table 2.

Exercise protocol

Participants (n=7) in the exercise protocol had all events identical to the continuous blue-enriched light protocol but during the 8-hour LE, each participant completed 3 bouts of exercise, each lasting for 45 minutes, separated by 60 minutes of rest in between. Exercise was completed on all four days of light exposure. The first exercise bout started 3 hours and 10 minutes after the beginning of the light exposure, which corresponded to 10 hours and 10 minutes after wake (18 hours and 10 minutes from habitual wake on baseline days). During each exercise bout, participants were required to pedal at 65–70 revolutions per minute (RPM) on a bicycle ergometer (Cybex model 700R, Cybex, International Inc., Medway, MA), to maintain an intensity of 65–75% of their age-predicted maximal heart rate (208 – 0.7 x age), considered a moderate level of exercise. Each participant wore a heart rate monitor during exercise and was monitored in real-time by a trained research technician to ensure compliance with the exercise intensity (Polar H7 sensor and Polar M450 monitor, Polar Electro, Bethpage, NY).

Circadian phase assessment

Blood samples were collected hourly beginning 6 hours before bedtime on the first day of the inpatient study for 26 hours, and again from the beginning of the CR until the wake time following recovery sleep after the 30-h CR. Saliva samples were collected hourly for the first 6 hours preceding bedtime on the first day of the inpatient study and throughout the 30-h CR. Blood samples were assayed for melatonin; saliva samples were assayed for melatonin in 2 participants [3467V5T1 (RM condition) and 3543V (IM condition)] because of missed blood samples due to IV failure. Blood and saliva samples were not assayed in the same individual. Melatonin concentration was determined using RIA (Kennaway G280 antiserum; Specialty Assay Research Core Laboratory, Brigham and Women’s Hospital, Boston, MA). Intra- and inter-assay coefficients of variation (%CV) were 10% at 1.9 pg/mL and 7.2% at 21.9 pg/mL, and 12.65% at 3.06 pg/mL and 12.12% at 22.36 pg/mL, respectively. Circadian phase was determined from the dim light melatonin onset (DLMO), defined as the time at which melatonin levels crossed a 10 pg/mL threshold for plasma or a 4 pg/mL threshold for saliva (time of crossing determined by linear interpolation [67]).

Data analysis

Data are presented as mean ± SE unless stated otherwise. Circadian phase shifts were calculated as the difference in clock time between initial and final DLMO such that advances were positive and delays were negative per convention. Data were analyzed using General Linear Models with lighting condition, age category (age was dichotomized as <40 versus ≥40 years) or sex as main effects, as appropriate. Normal distribution of the primary outcome measure of phase shifts and residuals in regression models was confirmed using the Shapiro-Wilkinson test and visual inspection of QQ-plots, respectively. All statistical analyses were carried out using SAS 9.4 (SAS, Cary, NC).

Results

A subset of the phase resetting data were published previously as part of a secondary analysis comparing phase resetting of central and peripheral metabolic rhythms [68].

Timing of light exposure and relative alignment between circadian phase and sleep

Post-hoc analysis showed that the timing of light onset relative to DLMO on the first day of the experiment was appropriate [45] for advancing or delaying the circadian pacemaker (Figure 2A and B) in all but one individual: the timing of light in one participant in the slam advance protocol (3414V) was mistimed such that the first cycle of light exposure began 6.2 hours after DLMO (~1 hour prior to estimated CBT min, Figure 2A), which is expected to induce phase delays instead of advances. The shift estimated at the completion of 4-cycle light-exposure intervention was −6.7 h phase delay in this individual. Additionally, an initial DLMO could not be calculated in one participant (28E6V2T3) due to missing blood samples due to IV failure during the first scheduled sleep episode, which also precluded determining a DLMO estimate from salivary melatonin as saliva samples were not collected during sleep. Therefore, data from these two individuals were removed from all analyses. On average, light exposure onset occurred 9.11 h ± 0.22 after DLMO in the advance protocols and 1.32 h ± 0.24 after DLMO in the delay protocols.

Figure 2. Timing of light exposure and relative alignment between circadian phase and sleep.

Figure 2.

The distribution in the onset of the time of the first of four cycles of light exposure (LE) relative to initial circadian phase (DLMO: dim light melatonin onset) for each participant in each of the 6 protocols is shown (A). The box and whisker plots show the mean (symbols within the box), 25th and 75th percentile (box limits), and the 10th and 90th percentiles (whiskers). Dashed horizontal lines indicate circadian phase of 0 (DLMO: dim light melatonin onset), dotted horizontal lines indicate estimated minimum of the core body temperature rhythm (calculated as DLMO + 7 hours) [92, 93]. The starting time of LE relative to initial circadian phase for each participant is also shown with the previously published phase response curve (PRC) [45] for melatonin phase shifts derived from a single 6.5-hour exposure to 480-nm blue light exposure (B). Gray filled squares (Inline graphic) in and A and B show the timing of LE relative to initial circadian phase in participant 3414V who was excluded from all analyses due to LE being mistimed. The distribution of initial and final phase angle difference (PAD) in hours between endogenous circadian phase (DLMO) and the start of scheduled bedtime of each participant stratified by age category is shown in (C) and (D), respectively. Initial and final PAD were compared between advance and delay protocols using GLM. The box and whisker plots show the mean [filled red circle (Inline graphic) within the box], 25th and 75th percentile (box limits), and the 10th and 90th percentiles (whiskers). Unfilled circles (○) and black filled circles (●) below each box show data from individual participants, stratified into older and younger age-categories, respectively. GR: Gradual, SL: slam, IM: Intermittent, RM: Room light, LE-EX: Light Exposure and Exercise, LE: Light exposure.

As an additional indicator of group-level homogeneity in circadian alignment between the study conditions, the initial DLMO phase relative to start of scheduled bedtime (phase angle difference, PAD) was not significantly different among all protocols (Figure 2C), which was on average −2.47 h ± 0.17 before bedtime (range −4.92 – 0.43 h). In contrast, the final PAD was significantly different between advance (2.20 h ± 0.25) and delay protocols (−4.82 ± 0.41, p<0.0001, Figure 2D).

Timing of exercise relative to circadian phase and exercise characteristics

Post-hoc analysis showed that the timing of the first bout of exercise relative to DLMO on the first day of the experiment was, on average, 4.88 h ± 0.45 after DLMO (range 3.77 – 7.09 h). When averaged across all exercise bouts, the mean intensity achieved was 68.82% ± 0.85 of age-adjusted maximum heart rate, and light exposure at the level of the eye during the exercise was 750.17 ± 19.88 lux (~704 melEDI lux).

Phase shift

Phase delay shifts were larger than phase advance shifts, for these particular light levels and exposure times, with considerable inter-individual differences within each condition (representative melatonin profiles are shown in Figure 3AF), although a direct comparison between phase advance and delay shifts could not be made due to differences in protocol including different durations of light exposure. At the end of the 4 days of shifted sleep-wake routine, all light exposure conditions resulted in statistically significant resetting of DLMO relative to initial phase (all, p<0.002, Figure 3G), and all shifts were significantly more than a 1 hour (which is what would have been expected if there were only a daily “drift” in phase of 0.2 h per day predicted from average intrinsic period) [69]. The phase shifts were not different between the two phase-advance protocols (GR: 2.88 h ± 0.31, SL: 3.28 h ± 0.37, p=0.43) (Figure 3G). In contrast, phase shifts were significantly different among the 4 phase-delay protocols with the largest mean phase-delay shifts observed in the LE condition and the smallest in the IM condition (IM: −3.90 h ± 0.62, RM: −4.74 h ± 0.62, LE-EX: −6.41 h ± 0.69, LE: −6.59 h ± 0.43, p=0.005) (Figure 3G). The mean shifts in the IM and RM conditions were not statistically different from each other (p=0.31) (Figure 3G). Likewise, the mean shifts in LE-EX and LE conditions were not statistically different from each other (p=0.80), although the LE-EX and LE conditions were both associated with significantly larger shifts than the IM and RM conditions (p<0.05) (Figure 3G).

Figure 3. Individual and group-level circadian phase resetting.

Figure 3.

Representative melatonin profiles from participants studied in each of the six protocols are shown in Figures 3AF. Gray and black lines represent initial and final partial melatonin profiles for each participant, respectively. Gray dashed line indicates the 10-pg/mL threshold used to determine the onset of melatonin secretion under dim light (DLMO). The distribution in phase resetting in each of the 6 study protocols is shown in absolute hours of shift (G). Phase shift data were compared between conditions within each type of phase-shift protocol (i.e., advance or delay) using GLM with condition as the main effect. The box and whisker plots show the mean (symbols within the box), 25th and 75th percentile (box limits), and the 10th and 90th percentiles (whiskers). Unfilled circles (○) and black filled circles (●) beside each box show data from individual participants, stratified into older and younger age-categories, respectively. Horizontal dashed line indicates target shift of 8 hours. Group mean (±SE) phase resetting stratified by sex and dichotomized age category pooled within the advance and delay protocols are shown in (H) and (I), respectively. Phase shift data were pooled between conditions within each type of phase-shift protocol (i.e., advance or delay) and tested for main effects of sex and age-category and their interaction using GLM. Post-hoc comparisons were Tukey-adjusted. M: Male F: Female, O: Older, Y: Younger. GR: Gradual, SL: slam, IM: Intermittent, RM: Room light, LE-EX: Light Exposure and Exercise, LE: Light exposure. * Signifies p<0.05.

Effect of age and sex

Since circadian characteristics including phase and phase angle of entrainment are different between younger and middle-aged groups and between men and women [7073], we conducted exploratory analyses to evaluate whether age, sex or their interaction were independent predictors of phase resetting in the advance or delay protocols. In the advance protocols, women had larger phase-advance shifts than men (3.52 ± 0.29 and 2.55 ± 0.33 hours, respectively, p=0.047, Figure 3H) but age (dichotomized as younger or older than 40) or the interaction between sex and age were not different (p=0.60 and 0.15, respectively, Figure 3H and I). In contrast, in the delay protocols, age had a significant effect on phase resetting with younger participants shifting more (5.90 ± 0.38 and 4.26 ± 0.63 hours, respectively, p=0.035, Figure 3I), but sex or the interaction between sex and age did not differ between groups (p=0.89 and 0.38, respectively Figure 3H and I).

Discussion

In the current study, we examined whether the timing, intensity and spectra of lighting can be optimized to facilitate circadian adaptation to shifted sleep/wake schedules similar to transitions between typical day and overnight shifts. We also assessed whether strategically timed physical exercise along with light exposure may further enhance circadian adaptation to shifted sleep/wake schedules. When optimized in intensity and spectral characteristics and timed strategically to delay the circadian clock (using a mathematical model), light exposure promoted robust circadian adaptation (86% of target 8-hour shift). Intermittent bright light exposure was more efficient per minute than continuous exposure (inducing ~60% of the circadian adaptation with only 25% of the total duration) but was significantly less effective in absolute terms. The addition of intermittent moderate-intensity exercise did not induce any additive circadian adaptation. These results support the use of dynamic lighting schedules that delay the circadian pacemaker to promote adaptation to shifted sleep-wake schedules, as occurs in the transition from day to evening or night shift.

The ‘slam’ phase delay protocols with 8 h of continuous blue-enriched white light achieved nearly the full targeted phase shift; the average shift was −6.6 h with a range from −5.0 to −8.2 h. When exercise was added, there was no additional net shift (average −6.4 h) and the range was similar (−3.8 to −8.9 h). This result was similar to the average phase delay of −7.3 h of the melatonin rhythm in young participants achieved in a 3-day slam shift with 5 h of 5,700 melEDI lux (9,500 lux, 4100K) [74] and with 5 hours of 6,000 melEDI lux (10,000 lux, 4100K) in younger and older participants (−6.6 h and −6.8 h, respectively; [75]).

In contrast, the advance shift protocol was qualitatively less effective (~3 h shift in response to the 8-hour target), regardless of whether there was an abrupt or gradual shift in the sleep/wake light/dark schedule was used. Importantly, however, while we were able to time the light exposure appropriately to induce phase advances or delays, and tried to stimulate maximal shifts, we did not explicitly attempt to time the light exposure relative to the phase response curve (PRC) that would induce equal advance or delay shifts, which likely contributes to the qualitatively less circadian adaptation observed in the advance protocols. Robust phase advances, however, are possible with very bright light. In earlier work, a similar protocol that gradually advanced the sleep-wake cycle by 10 hours (2 hours per day for 5 days), showed that 5–8 hours/day of ~6,000 melEDI lux (10,000 lux, melDER ~0.6, 4100K) shifted central circadian markers by at least 8 hours earlier whereas modest lighting ~90 melEDI lux (150 lux, melDER ~0.6, 4100K) had no significant resetting effects (~1 h; [76]). While differences between the protocols in our study and the previous studies make direct comparisons difficult, the combined data are consistent with a dose-response for the phase advancing effects of gradual-shifts in light exposure [~90, ~450, and ~6,000 melEDI lux (150, 750 and 10,000 lux) exposure once per day over 4 to 5 days with ~1.6 hour shifts in the sleep schedule resulted in ~1 h, 3 h and 8 h net phase advances, respectively]. Our data also are consistent with the intensity-dependent phase advancing effects of light following an 8-hour ‘slam’ shift [74, 77]; our ~3 h shift to 6.5 h of ~704 melEDI lux (750 lux) over 4 days falls on the dose-response generated by 3 days of exposure to 5 hours of 0.02–5,700 melEDI lux (0.03–9,500 lux, 4100K, melDER ~0.6) of light timed to phase advance.

We and others have shown that intermittent light-exposure patterns achieve majority (~60–70%) of the phase resetting as continuous exposure [27]. For example, six 15-min pulses of bright light pulses delivered across a 6.5-h window induces ~70% of the phase resetting response of a 6.5-h continuous exposure administered at the same circadian window in a single night, despite the actual bright light stimulus in the combined intermittent pulses being 23.1% of the continuous 6.5-h exposure [27]. The same protocol using intermittent monochromatic blue (460 nm) light delivered 57% of the shift of continuous exposure [25], consistent with the current study using blue-enriched white light. Intermittent phase advancing light is equally efficient as delays, ranging between ~63% to ~86% on average, depending on the relative duration of the continuous bright light exposure [78].

Exercise in humans has also been reported to influence the central circadian timing system and several studies have assessed the effectiveness of exercise as a circadian phase resetting agent in humans [5558, 61, 62, 79, 80]. Consistent with our findings, however, studies that have examined the interaction of exercise and bright light on circadian rhythms in humans found that adding exercise to bright light does not appear to induce an additive response [58, 62]. Our exercise protocol was consistent with a prior study [61] that reported significant circadian phase delays of the melatonin rhythm induced by exercise alone administered during the biological night for 7 consecutive days, although the timing of exercise was ~2 hours later relative to initial endogenous circadian phase, which may have contributed to smaller phase shifts due to exercise in our protocol. Whether there is a more optimal timing for the exercise intervention to be combined with light exposure to facilitate circadian adaptation warrants further evaluation in future studies; however, a recently developed phase response curve of circadian resetting by exercise suggests that critical window for exercise to phase delay or advance the central clock may be limited to about three hours for each direction of shift [57]. Therefore, optimally combining exercise with light to facilitate phase resetting may require exquisite timing and may not prove to be feasible in an operational setting. There may be additional benefits of incorporating exercise as a shiftwork countermeasure, however. For example, exercise increases physiological arousal and can help promote alertness in the short-term [60, 81]. Additionally, while we and others have evaluated the role of exercise in resetting the central circadian clock using the timing of the melatonin rhythm as the main outcome measure, additional studies are required to assess whether exercise is a potential non-photic cue for resetting other circadian rhythms, especially metabolic rhythms.

We also observed condition-specific effects of age and sex on circadian phase resetting. The lack of an age-dependent difference in phase advance responses is consistent with the results of a previous study with an 8-hour ‘slam’ advance over 3 days with 5 hours of 6,000 melEDI lux (10,000 lux) white light, which also did not observe an effect of age on phase advance resetting [75]. One possible reason for the differences is that the endogenous period of the human circadian pacemaker is, on average, greater than 24 h (~24.2 hours [69, 71]); this facilitates delay shifts over advances. Our exploratory analysis evaluating sex differences in phase resetting is consistent with an effect of circadian period; on average, women have a shorter endogenous circadian period (24.09 h) compared to men (24.19 h) [71], and we found that women had larger phase advances than men. Interestingly, we also found that the younger individuals (ages 25–40 years), on average, had significantly larger phase-delay shifts than the older (ages >40–55 years) individuals. Younger individuals do not, on average, however, have longer endogenous periods than older individuals [73], even though they tend to have a later circadian phase and are evening chronotypes [70, 73]. In our study, however, initial circadian phase and phase angle of entrainment prior to intervention were not different between the younger and older age groups. Therefore, it is unlikely that the larger phase delays observed in the younger age group can be attributed solely to baseline differences in circadian characteristics between the two age groups.

A potential difference in the age groups may be differences in lens transmission, with aging leading to reduced transmission of short-wavelength light due to yellowing of the lens, which can in turn lead to attenuated light responses [82, 83]. Although we did not see a similar difference with age in the advance-shift protocols it may have been masked by the overall smaller phase shifts in this protocol compared to the delay-shift protocols. While hypothesis generating, these results need to be interpreted with caution and require further evaluation in future studies as both sex- and age-differences are key considerations in designing effective shiftwork countermeasures. Operationally, shift workers prefer delaying shifts over advancing shifts [84]. Overall, our results are consistent with prior observations and underscore that even with optimized lighting and strict scheduling of the light/dark schedule it may be difficult to achieve circadian adaptation to advancing work schedules. This is an important consideration when designing shift schedules in applied settings where shift workers may require both advances and delays in their schedules with less than optimal control over the their light dark schedules and lighting conditions.

There are several strengths of our study. The light exposure and exercise interventions were carried out under controlled laboratory conditions with monitoring to ensure compliance. Circadian phase assessments were based on quantification of plasma and salivary melatonin, a reliable and accurate marker of central circadian phase in humans. Final phase assessments were assessed under a ~30-h constant routine protocol ensuring that even large phase shifts would not lead to phase estimates being missed. Additionally, both advance and delay shifts were assessed. There are several limitations, however. Our study is based on healthy entrained individuals with no prior history of shiftwork. Future studies need to extend these findings to shift workers of different ages, medical conditions, prescription and non-prescription drug use, and habits (e.g., caffeine use) and under field conditions, although mixed field and laboratory data of simulated shiftwork using 6,000 melEDI lux (10,000 lux of white light, 4100K) are broadly consistent with our findings [85]. Our sample sizes were limited within each experimental condition and further work is necessary with larger sample sizes with adequate statistical power to confirm the exploratory findings related to sex- and age-dependent differences.

Circadian disruption similar to that studied here during simulated shiftwork is also common during space missions. Data from Space Shuttle Missions STS-90 and STS-95 showed that crew members failed to synchronize to an advance shift in their sleep-wake schedule [86]. This may have been mostly due to suboptimal lighting conditions that included dim ambient lighting with intermittent exposure to bright light due to the 90-min orbital solar light-dark cycle. International Space Station (ISS) crewmembers, who are occasionally exposed to rapid shifts in their sleep-wake schedules, spend about 20% of their time sleeping and waking at an adverse circadian phase [87], increasing their potential for accidents and errors. Lighting interventions to facilitate circadian adaptation of crew members prior to launch have been used as a countermeasure since early 1990. Carefully timing bright (10,000 lux) long-duration (~8 hours) light exposure and darkness can facilitate rapid circadian adaptation of ~12 hours in 3 days [35]. These protocols posed practical challenges, however, often associated with the high illuminance used (e.g., ~10,000 lux) which can produce glare, impair visual acuity, and induce headaches, nausea and irritability. Moreover, energy constraints during flight often precludes access to higher irradiance light sources [88, 89].

The current study utilized a prototype of a new, tunable multi-LED lighting source being installed on the ISS that is being operationalized with three settings: i) general illumination: 4500K white light, ~210 lux; ii) phase shifting/alertness: 6500K, ~420 lux; iii) pre-sleep: 2700K, ~90 lux [90]. The recent international standard for measuring light related to circadian, neuroendocrine and neurobehavioral responses permits the conversion of the NASA illuminances to melEDI lux values of ~145, ~395 and ~46, respectively [63]. The study was designed to test various light schedules to facilitate the 8-hour gradual or slam shifts often required in anticipation of upcoming mission tasks such as docking and undocking [86]. Overall, our results suggest that dynamic lighting schedules facilitate circadian adaptation to delay shifts in sleep-wake and work-rest schedules and would be a more appropriate operational approach. While the precise timing will depend on the shift schedule employed, we would reiterate the recommendation of a recent expert review [91], with a minimum of 250 melanopic EDI lux at the eye while awake (including at work) and, once at home, <10 melanopic EDI lux for the 3 hours before bed, or as long as possible before sleep after arriving home after an evening or night shift, if less than 3 hours. There does not appear to be a difference between gradual and abrupt shifts when advancing sleep-wake schedules. Whether delay schedules are differentially affected by gradual or abrupt shifts cannot be determined from our study and should be the focus of future studies, along with further refinement of individual circadian timing, light intensity and light duration to achieve full responses in all individuals.

Acknowledgements:

We thank the technical, dietary and laboratory staff, nurses and physicians, participant recruiters and the study participants at the Center for Clinical Investigation and Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital. Special thanks to Daniel Schultz of Kennedy Space Center (Merritt Island, FL), Matthew Regan and Trevor Murdock of Bionetics Corporation (Yorktown, VA), and Fred Maxik and Robert Soler of the Lighting Sciences Group (West Warwick, RI) for the development of the solid-state lighting module – research assemblies (SSLM-Rs) used in this research. Additional thanks to Dennis Grounds and Lauren Leveton of Johnson Space Center (Clearwater, TX) for donation of the SSLM-Rs to our laboratory. We would also like to thank James Maida, Charles Bowen, John Charles, Alexandra Whitmire and Laura Bollweg of Johnston Space Center for engineering and logistical support with the SSLM-Rs.

Funding Source:

National Space Biomedical Research Institute through NASA NCC 9–58 [HFP02801 (PI: Lockley, SW), HFP02802 and HFP00006 (PI: Klerman, EB). NASA #NNX09AM68G. SAR and MSH were supported in part by NIH/NHLBI T32-HL007901. EBK was supported in part by NIH K24-HL105664, P01-AG009975, RC2-HL10134. As Co-PIs, Drs. Brainard and Lockley were supported, in part, by NASA grant NNX15AC14G. The project described was supported by Grant Number 8 UL1 TR000170, Harvard Clinical and Translational Science Center, from the National Center for Advancing Translational Science and Grant Number 1UL1TR001102. Drs. Barger and Czeisler were supported, in part, by NIOSH R01OH011773. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources, the National Center for Advancing Translational Science or the National Institutes of Health.

Footnotes

Disclosure: LKG reports no conflicts. SAR holds patents for (1) Prevention of circadian rhythm disruption by using optical filters and (2) Improving sleep performance in subject exposed to light at night; SAR owns equity in Melcort Inc.; has provided paid consulting services to Sultan & Knight Limited, Bambu Vault LLC, Lucidity Lighting Inc.; and has received honoraria as an invited speaker and travel funds from Starry Skies Lake Superior, University of Minnesota Medical School, PennWell Corp., and Seoul Semiconductor Co. Ltd. These interests were reviewed and managed by Brigham and Women’s Hospital and Partners HealthCare in accordance with their conflict of interest policies. MSH has provided limited consulting to The MathWorks, Inc. LKB reports personal fees from Boston Children’s Hospital, University of Helsinki and the AAA Foundation. GCB has no conflicts of interest relative to the scientific content of this manuscript. In the spirit of open disclosure, however, he reports having issued patents (USPTO 7678140 B2; 10603507; 10213619 B2 and 8366755 B2) and pending patents (USPTO 16/831737 and 16/657927) related to the photoreceptor system for melatonin regulation. That intellectual property has been licensed by Litebook Company Ltd. He has been a paid consultant by Lutron, Inc. and McCullough Hill LLC. In addition, The Thomas Jefferson’s Light Research Program (LRP) has received research grants and/or equipment donations from industry partners including Toshiba Materials, BIOS, Robern, and PhotoPharmics Company. The LRP has a philanthropic grant from The Institute for Integrative Health. The Philadelphia Chapter of the IESNA, BIOS, Robern and Toshiba have made gifts to the LRP for programmatic, research and educational uses. CAC reports grants and contracts to BWH from Dayzz Live Well, Delta Airlines, Jazz Pharma, Puget Sound Pilots, Regeneron Pharmaceuticals/Sanofi; is/was paid consultant/speaker for Inselspital Bern, Institute of Digital Media and Child Development, Klarman Family Foundation, M. Davis and Co, National Council for Mental Wellbeing, National Sleep Foundation, Physician’s Seal, SRS Foundation, State of Washington Board of Pilotage Commissioners, Tencent, Teva Pharma Australia, With Deep, and Vanda Pharmaceuticals, in which CAC holds an equity interest; received travel support from Aspen Brain Institute, Bloomage International Investment Group, Inc., Dr. Stanley Ho Medical Development Foundation, German National Academy of Sciences, Ludwig-Maximilians-Universität München, National Highway Transportation Safety Administration, National Safety Council, National Sleep Foundation, Salk Institute for Biological Studies/Fondation Ipsen, Society for Research on Biological Rhythms, Stanford Medical School Alumni Association, Tencent Holdings, Ltd, and Vanda Pharmaceuticals; receives research/education gifts through BWH from Arbor Pharmaceuticals, Avadel Pharmaceuticals, Bryte, Alexandra Drane, Cephalon, DR Capital Ltd, Eisai, Harmony Biosciences, Jazz Pharmaceuticals, Johnson & Johnson, Mary Ann & Stanley Snider via Combined Jewish Philanthropies, NeuroCare, Inc., Optum, Philips Respironics, Regeneron, Regional Home Care, ResMed, Resnick Foundation (The Wonderful Company), San Francisco Bar Pilots, Sanofi SA, Schneider, Simmons, Sleep Cycle AB. Sleep Number, Sysco, Teva Pharmaceuticals, Vanda Pharmaceuticals; is/was an expert witness in legal cases, including those involving Advanced Power Technologies, Aegis Chemical Solutions, Amtrak; Casper Sleep Inc, C&J Energy Services, Catapult Energy Services Group, Covenant Testing Technologies, Dallas Police Association, Enterprise Rent-A-Car, Espinal Trucking/Eagle Transport Group/Steel Warehouse Inc, FedEx, Greyhound, Pomerado Hospital/Palomar Health District, PAR Electrical Contractors, Product & Logistics Services LLC/Schlumberger Technology, Puckett EMS, Puget Sound Pilots, Union Pacific Railroad, UPS, and Vanda Pharmaceuticals; serves as the incumbent of an endowed professorship given to Harvard by Cephalon; and receives royalties from McGraw Hill and Philips Respironics for the Actiwatch-2 and Actiwatch Spectrum devices. CAC’s interests were reviewed and are managed by the Brigham and Women’s Hospital and Mass General Brigham in accordance with their conflict-of-interest policies. EBK reports consulting for Circadian Therapeutics, The National Sleep Foundation and Sanofi-Genzynel travel support from the Sleep Research Society; and her partner owns Chronsulting. SWL has had a number of commercial interests in the last 2 years (2019–21). His interests were reviewed and managed by Mass General Brigham in accordance with their conflict of interest policies. No interests are directly related to the research or topic reported in this paper but, in the interests of full disclosure, are outlined below. SWL has received consulting fees from the EyeJust Inc., Rec Room, Six Senses, and Stantec; and has current consulting contracts with Akili Interactive; Apex 2100 Ltd.; Consumer Sleep Solutions; Hintsa Performance AG; KBR Wyle Services, Light Cognitive; Lighting Science Group Corporation/HealthE; Mental Workout/Timeshifter, Sleep Standards and View Inc. He has received honoraria from Bloxhub/Lys, Danish Centre for Lighting, MIT, Roxbury Latin School, University of Toronto and Wiley; and royalties from Oxford University Press. He holds equity in iSleep Pty. He has received an unrestricted equipment gift from F. Lux Software LLC, and holds an investigator-initiated grant from F. Lux Software LLC. He has a Clinical Research Support Agreement and a Clinical Trials Agreement with Vanda Pharmaceuticals Inc. He is an unpaid Board Member of the Midwest Lighting Institute (non-profit). He was a Program Leader for the CRC for Alertness, Safety and Productivity, Australia, through an adjunct professor position at Monash University (2015–2019). He is currently a part-time adjunct faculty member at the University of Surrey. He has served as a paid expert in legal proceedings related to light, sleep and health.

As the ‘non-visual’ responses to light peak at approximately 480 nm, standard photopic illumination measures such as lux or footcandles, which are calibrated for the human color vision (photopic) system (which peaks at 555 nm), do not accurately express the ‘strength’ of the light stimulus for non-visual responses. While Correlated Color Temperature (CCT, K) has been used as a shorthand to predict the non-visual effects of light (as higher CCT light sources tend to have more short-wavelength light), CCT is also not sufficiently accurate to quantify ‘non-visual’ light. New standard international (SI) units have therefore been provided by the Commission Internationale de l’Eclairage (CIE, International Commission on Illumination, Austria) to define light for these purposes (CIE, 2018)63. L’eclairage, C.I.D. Cie system for metrology of optical radiation for iprgc-influenced responses to light. Cie s 026/e:2018. In, Vienna (Austria), 2018. and these units are also provided herein, including melanopic Equivalent Daylight (D65) Illuminance (EDI), an estimate of how much light stimulates melanopsin, and the melanopic Daylight Equivalent Ratio (DER), which expresses melanopic EDI as a function of photopic illuminance (lux), and is a useful shorthand for expressing relative differences in light spectra; higher melanopic DER values denote light with more melanopsin stimulation.

References

  • 1.Buijs RM, Soto Tinoco EC, Hurtado Alvarado G et al. (2021). The circadian system: From clocks to physiology. Handb Clin Neurol, 179, 233–247. [DOI] [PubMed] [Google Scholar]
  • 2.Koronowski KB, Sassone-Corsi P (2021). Communicating clocks shape circadian homeostasis. Science, 371(6530). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Czeisler CA, Gooley JJ (2007). Sleep and circadian rhythms in humans. Cold Spring Harb Symp Quant Biol, 72, 579–97. [DOI] [PubMed] [Google Scholar]
  • 4.Czeisler CA, Klerman EB (1999). Circadian and sleep-dependent regulation of hormone release in humans. Recent Prog Horm Res, 54, 97–130; discussion 130–2. [PubMed] [Google Scholar]
  • 5.Hastings MH, Reddy AB, Maywood ES (2003). A clockwork web: Circadian timing in brain and periphery, in health and disease. Nat Rev Neurosci, 4(8), 649–61. [DOI] [PubMed] [Google Scholar]
  • 6.Hastings M, O’neill JS, Maywood ES (2007). Circadian clocks: Regulators of endocrine and metabolic rhythms. J Endocrinol, 195(2), 187–98. [DOI] [PubMed] [Google Scholar]
  • 7.Goel N, Basner M, Rao H et al. (2013). Circadian rhythms, sleep deprivation, and human performance. Prog Mol Biol Transl Sci, 119, 155–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Burke TM, Scheer F, Ronda JM et al. (2015). Sleep inertia, sleep homeostatic and circadian influences on higher-order cognitive functions. J Sleep Res, 24(4), 364–371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wyatt JK, Cajochen C, Ritz-De Cecco A et al. (2004). Low-dose repeated caffeine administration for circadian-phase-dependent performance degradation during extended wakefulness. Sleep, 27(3), 374–81. [DOI] [PubMed] [Google Scholar]
  • 10.Fishbein AB, Knutson KL, Zee PC (2021). Circadian disruption and human health. J Clin Invest, 131(19). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gotlieb N, Moeller J, Kriegsfeld LJ (2018). Circadian control of neuroendocrine function: Implications for health and disease. Curr Opin Physiol, 5, 133–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Potter GD, Skene DJ, Arendt J et al. (2016). Circadian rhythm and sleep disruption: Causes, metabolic consequences, and countermeasures. Endocr Rev, 37(6), 584–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Fritz J, Vopham T, Wright KP Jr. et al. (2020). A chronobiological evaluation of the acute effects of daylight saving time on traffic accident risk. Curr Biol, 30(4), 729–735 e2. [DOI] [PubMed] [Google Scholar]
  • 14.Kosmadopoulos A, Sargent C, Zhou X et al. (2017). The efficacy of objective and subjective predictors of driving performance during sleep restriction and circadian misalignment. Accid Anal Prev, 99(Pt B), 445–451. [DOI] [PubMed] [Google Scholar]
  • 15.Santhi N, Horowitz TS, Duffy JF et al. (2007). Acute sleep deprivation and circadian misalignment associated with transition onto the first night of work impairs visual selective attention. PLoS One, 2(11), e1233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Reinberg A, Smolensky MH, Riedel M et al. (2015). Chronobiologic perspectives of black time--accident risk is greatest at night: An opinion paper. Chronobiol Int, 32(7), 1005–18. [DOI] [PubMed] [Google Scholar]
  • 17.Duffy JF, Kronauer RE, Czeisler CA (1996). Phase-shifting human circadian rhythms: Influence of sleep timing, social contact and light exposure. J Physiol, 495 ( Pt 1), 289–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Czeisler CA, Kronauer RE, Allan JS et al. (1989). Bright light induction of strong (type 0) resetting of the human circadian pacemaker. Science, 244(4910), 1328–33. [DOI] [PubMed] [Google Scholar]
  • 19.Zeitzer JM, Dijk DJ, Kronauer R et al. (2000). Sensitivity of the human circadian pacemaker to nocturnal light: Melatonin phase resetting and suppression. J Physiol, 526 Pt 3, 695–702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.St Hilaire MA, Gooley JJ, Khalsa SB et al. (2012). Human phase response curve to a 1 h pulse of bright white light. J Physiol, 590(13), 3035–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Khalsa SB, Jewett ME, Cajochen C et al. (2003). A phase response curve to single bright light pulses in human subjects. J Physiol, 549(Pt 3), 945–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lockley SW, Brainard GC, Czeisler CA (2003). High sensitivity of the human circadian melatonin rhythm to resetting by short wavelength light. J Clin Endocrinol Metab, 88(9), 4502–5. [DOI] [PubMed] [Google Scholar]
  • 23.Rahman SA, St Hilaire MA, Chang AM et al. (2017). Circadian phase resetting by a single short-duration light exposure. JCI Insight, 2(7), e89494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chang AM, Santhi N, St Hilaire M et al. (2012). Human responses to bright light of different durations. J Physiol, 590(13), 3103–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Rahman SA, Brainard GC, Czeisler CA et al. (2021). Spectral sensitivity of circadian phase resetting, melatonin suppression and acute alerting effects of intermittent light exposure. Biochem Pharmacol, 191, 114504. [DOI] [PubMed] [Google Scholar]
  • 26.Rahman SA, St Hilaire MA, Gronfier C et al. (2018). Functional decoupling of melatonin suppression and circadian phase resetting in humans. J Physiol, 596(11), 2147–2157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Gronfier C, Wright KP Jr., Kronauer RE et al. (2004). Efficacy of a single sequence of intermittent bright light pulses for delaying circadian phase in humans. Am J Physiol Endocrinol Metab, 287(1), E174–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chang AM, Scheer FA, Czeisler CA (2011). The human circadian system adapts to prior photic history. J Physiol, 589(Pt 5), 1095–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Sack RL, Blood ML, Lewy AJ (1992). Melatonin rhythms in night shift workers. Sleep, 15(5), 434–41. [DOI] [PubMed] [Google Scholar]
  • 30.Hennig J, Kieferdorf P, Moritz C et al. (1998). Changes in cortisol secretion during shiftwork: Implications for tolerance to shiftwork? Ergonomics, 41(5), 610–21. [DOI] [PubMed] [Google Scholar]
  • 31.Weibel L, Brandenberger G (1998). Disturbances in hormonal profiles of night workers during their usual sleep and work times. J Biol Rhythms, 13(3), 202–8. [DOI] [PubMed] [Google Scholar]
  • 32.Weibel L, Spiegel K, Follenius M et al. (1996). Internal dissociation of the circadian markers of the cortisol rhythm in night workers. Am J Physiol, 270(4 Pt 1), E608–13. [DOI] [PubMed] [Google Scholar]
  • 33.Benhaberou-Brun D, Lambert C, Dumont M (1999). Association between melatonin secretion and daytime sleep complaints in night nurses. Sleep, 22(7), 877–85. [DOI] [PubMed] [Google Scholar]
  • 34.Boivin DB, James FO (2002). Circadian adaptation to night-shift work by judicious light and darkness exposure. J Biol Rhythms, 17(6), 556–67. [DOI] [PubMed] [Google Scholar]
  • 35.Czeisler CA, Johnson MP, Duffy JF et al. (1990). Exposure to bright light and darkness to treat physiologic maladaptation to night work. N Engl J Med, 322(18), 1253–9. [DOI] [PubMed] [Google Scholar]
  • 36.Lee C, Smith MR, Eastman CI (2006). A compromise phase position for permanent night shift workers: Circadian phase after two night shifts with scheduled sleep and light/dark exposure. Chronobiol Int, 23(4), 859–75. [DOI] [PubMed] [Google Scholar]
  • 37.Boivin DB, Boudreau P, James FO et al. (2012). Photic resetting in night-shift work: Impact on nurses’ sleep. Chronobiol Int, 29(5), 619–28. [DOI] [PubMed] [Google Scholar]
  • 38.Burgess HJ, Sharkey KM, Eastman CI (2002). Bright light, dark and melatonin can promote circadian adaptation in night shift workers. Sleep Med Rev, 6(5), 407–20. [PubMed] [Google Scholar]
  • 39.Martin SK, Eastman CI (1998). Medium-intensity light produces circadian rhythm adaptation to simulated night-shift work. Sleep, 21(2), 154–65. [PubMed] [Google Scholar]
  • 40.Dawson D, Campbell SS (1991). Timed exposure to bright light improves sleep and alertness during simulated night shifts. Sleep, 14(6), 511–6. [DOI] [PubMed] [Google Scholar]
  • 41.Deacon S, Arendt J (1996). Adapting to phase shifts, i. An experimental model for jet lag and shift work. Physiol Behav, 59(4–5), 665–73. [DOI] [PubMed] [Google Scholar]
  • 42.Eastman CI, Stewart KT, Mahoney MP et al. (1994). Dark goggles and bright light improve circadian rhythm adaptation to night-shift work. Sleep, 17(6), 535–43. [DOI] [PubMed] [Google Scholar]
  • 43.Lowden A, Akerstedt T (2012). Assessment of a new dynamic light regimen in a nuclear power control room without windows on quickly rotating shiftworkers--effects on health, wakefulness, and circadian alignment: A pilot study. Chronobiol Int, 29(5), 641–9. [DOI] [PubMed] [Google Scholar]
  • 44.Sunde E, Pedersen T, Mrdalj J et al. (2020). Blue-enriched white light improves performance but not subjective alertness and circadian adaptation during three consecutive simulated night shifts. Front Psychol, 11, 2172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Ruger M, St Hilaire MA, Brainard GC et al. (2013). Human phase response curve to a single 6.5 h pulse of short-wavelength light. J Physiol, 591(1), 353–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hattar S, Liao HW, Takao M et al. (2002). Melanopsin-containing retinal ganglion cells: Architecture, projections, and intrinsic photosensitivity. Science, 295(5557), 1065–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gooley JJ, Lu J, Fischer D et al. (2003). A broad role for melanopsin in nonvisual photoreception. J Neurosci, 23(18), 7093–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Berson DM, Dunn FA, Takao M (2002). Phototransduction by retinal ganglion cells that set the circadian clock. Science, 295(5557), 1070–3. [DOI] [PubMed] [Google Scholar]
  • 49.Provencio I, Jiang G, De Grip WJ et al. (1998). Melanopsin: An opsin in melanophores, brain, and eye. Proc Natl Acad Sci U S A, 95(1), 340–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Provencio I, Rodriguez IR, Jiang G et al. (2000). A novel human opsin in the inner retina. J Neurosci, 20(2), 600–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Lucas RJ, Peirson SN, Berson DM et al. (2014). Measuring and using light in the melanopsin age. Trends Neurosci, 37(1), 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Gooley JJ, Rajaratnam SM, Brainard GC et al. (2010). Spectral responses of the human circadian system depend on the irradiance and duration of exposure to light. Sci Transl Med, 2(31), 31ra33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Rahman SA, Flynn-Evans EE, Aeschbach D et al. (2014). Diurnal spectral sensitivity of the acute alerting effects of light. Sleep, 37(2), 271–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Rahman SA, St Hilaire MA, Lockley SW (2017). The effects of spectral tuning of evening ambient light on melatonin suppression, alertness and sleep. Physiol Behav, 177, 221–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Van Reeth O, Sturis J, Byrne MM et al. (1994). Nocturnal exercise phase delays circadian rhythms of melatonin and thyrotropin secretion in normal men. Am J Physiol, 266(6 Pt 1), E964–74. [DOI] [PubMed] [Google Scholar]
  • 56.Buxton OM, Lee CW, L’hermite-Baleriaux M et al. (2003). Exercise elicits phase shifts and acute alterations of melatonin that vary with circadian phase. Am J Physiol Regul Integr Comp Physiol, 284(3), R714–24. [DOI] [PubMed] [Google Scholar]
  • 57.Youngstedt SD, Elliott JA, Kripke DF (2019). Human circadian phase-response curves for exercise. J Physiol, 597(8), 2253–2268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Youngstedt SD, Kripke DF, Elliott JA (2002). Circadian phase-delaying effects of bright light alone and combined with exercise in humans. Am J Physiol Regul Integr Comp Physiol, 282(1), R259–66. [DOI] [PubMed] [Google Scholar]
  • 59.Eastman CI, Hoese EK, Youngstedt SD et al. (1995). Phase-shifting human circadian rhythms with exercise during the night shift. Physiol Behav, 58(6), 1287–91. [DOI] [PubMed] [Google Scholar]
  • 60.Barger LK, Sullivan JP, Lockley SW et al. (2020). Exposure to short wavelength-enriched white light and exercise improves alertness and performance in operational nasa flight controllers working overnight shifts. J Occup Environ Med. [DOI] [PubMed] [Google Scholar]
  • 61.Barger LK, Wright KP Jr., Hughes RJ et al. (2004). Daily exercise facilitates phase delays of circadian melatonin rhythm in very dim light. Am J Physiol Regul Integr Comp Physiol, 286(6), R1077–84. [DOI] [PubMed] [Google Scholar]
  • 62.Baehr EK, Fogg LF, Eastman CI (1999). Intermittent bright light and exercise to entrain human circadian rhythms to night work. Am J Physiol, 277(6), R1598–604. [DOI] [PubMed] [Google Scholar]
  • 63.CIE system for metrology of optical radiation for ipRGC-influenced responses to light. CIE S 026/e:2018. In, Vienna (Austria), 2018. [Google Scholar]
  • 64.St Hilaire MA, Klerman EB, Khalsa SB et al. (2007). Addition of a non-photic component to a light-based mathematical model of the human circadian pacemaker. J Theor Biol, 247(4), 583–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.St Hilaire MA, Gronfier C, Zeitzer JM et al. (2007). A physiologically based mathematical model of melatonin including ocular light suppression and interactions with the circadian pacemaker. J Pineal Res, 43(3), 294–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Chang AM, Anderson C, Cain SW et al. (2012). Evaluation of photic countermeasures for circadian entrainment to an 8-hour advance of sleep. Sleep, 35(Abstract Supplement), A212. [Google Scholar]
  • 67.Klerman EB, Gershengorn HB, Duffy JF et al. (2002). Comparisons of the variability of three markers of the human circadian pacemaker. J Biol Rhythms, 17(2), 181–93. [DOI] [PubMed] [Google Scholar]
  • 68.Grant LK, St Hilaire MA, Brainard GC et al. (2021). Endogenous circadian regulation and phase resetting of clinical metabolic biomarkers. J Pineal Res, e12752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Czeisler CA, Duffy JF, Shanahan TL et al. (1999). Stability, precision, and near-24-hour period of the human circadian pacemaker. Science, 284(5423), 2177–81. [DOI] [PubMed] [Google Scholar]
  • 70.Duffy JF, Dijk DJ, Hall EF et al. (1999). Relationship of endogenous circadian melatonin and temperature rhythms to self-reported preference for morning or evening activity in young and older people. J Investig Med, 47(3), 141–50. [PMC free article] [PubMed] [Google Scholar]
  • 71.Duffy JF, Cain SW, Chang AM et al. (2011). Sex difference in the near-24-hour intrinsic period of the human circadian timing system. Proc Natl Acad Sci U S A, 108 Suppl 3, 15602–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Dijk DJ, Duffy JF, Riel E et al. (1999). Ageing and the circadian and homeostatic regulation of human sleep during forced desynchrony of rest, melatonin and temperature rhythms. J Physiol, 516 ( Pt 2), 611–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Duffy JF, Czeisler CA (2002). Age-related change in the relationship between circadian period, circadian phase, and diurnal preference in humans. Neurosci Lett, 318(3), 117–20. [DOI] [PubMed] [Google Scholar]
  • 74.Shanahan TL, Kronauer RE, Duffy JF et al. (1999). Melatonin rhythm observed throughout a three-cycle bright-light stimulus designed to reset the human circadian pacemaker. J Biol Rhythms, 14(3), 237–53. [DOI] [PubMed] [Google Scholar]
  • 75.Klerman EB, Duffy JF, Dijk DJ et al. (2001). Circadian phase resetting in older people by ocular bright light exposure. J Investig Med, 49(1), 30–40. [DOI] [PubMed] [Google Scholar]
  • 76.Dijk DJ, Duffy JF, Silva EJ et al. (2012). Amplitude reduction and phase shifts of melatonin, cortisol and other circadian rhythms after a gradual advance of sleep and light exposure in humans. PLoS One, 7(2), e30037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Zeitzer JM, Khalsa SB, Boivin DB et al. (2005). Temporal dynamics of late-night photic stimulation of the human circadian timing system. Am J Physiol Regul Integr Comp Physiol, 289(3), R839–44. [DOI] [PubMed] [Google Scholar]
  • 78.Rimmer DW, Boivin DB, Shanahan TL et al. (2000). Dynamic resetting of the human circadian pacemaker by intermittent bright light. Am J Physiol Regul Integr Comp Physiol, 279(5), R1574–9. [DOI] [PubMed] [Google Scholar]
  • 79.Youngstedt SD, Kline CE, Elliott JA et al. (2016). Circadian phase-shifting effects of bright light, exercise, and bright light + exercise. J Circadian Rhythms, 14, 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Buxton OM, Frank SA, L’hermite-Baleriaux M et al. (1997). Roles of intensity and duration of nocturnal exercise in causing phase delays of human circadian rhythms. Am J Physiol, 273(3 Pt 1), E536–42. [DOI] [PubMed] [Google Scholar]
  • 81.Horne JA, Staff LH (1983). Exercise and sleep: Body-heating effects. Sleep, 6(1), 36–46. [DOI] [PubMed] [Google Scholar]
  • 82.Brainard GC, Rollag MD, Hanifin JP (1997). Photic regulation of melatonin in humans: Ocular and neural signal transduction. J Biol Rhythms, 12(6), 537–46. [DOI] [PubMed] [Google Scholar]
  • 83.Duffy JF, Zeitzer JM, Czeisler CA (2007). Decreased sensitivity to phase-delaying effects of moderate intensity light in older subjects. Neurobiol Aging, 28(5), 799–807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Czeisler CA, Moore-Ede MC, Coleman RH (1982). Rotating shift work schedules that disrupt sleep are improved by applying circadian principles. Science, 217(4558), 460–3. [DOI] [PubMed] [Google Scholar]
  • 85.Santhi N, Duffy JF, Horowitz TS et al. (2005). Scheduling of sleep/darkness affects the circadian phase of night shift workers. Neurosci Lett, 384(3), 316–20. [DOI] [PubMed] [Google Scholar]
  • 86.Dijk DJ, Neri DF, Wyatt JK et al. (2001). Sleep, performance, circadian rhythms, and light-dark cycles during two space shuttle flights. Am J Physiol Regul Integr Comp Physiol, 281(5), R1647–64. [DOI] [PubMed] [Google Scholar]
  • 87.Flynn-Evans EE, Barger LK, Kubey AA et al. (2016). Circadian misalignment affects sleep and medication use before and during spaceflight. NPJ Microgravity, 2, 15019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Brainard GC, Coyle W, Ayers M et al. (2013). Solid-state lighting for the international space station: Tests of visual performance and melatonin regulation. Acta Astronautica, 92(1), 21–28. [Google Scholar]
  • 89.Brainard GC, Barger LK, Soler RR et al. (2016). The development of lighting countermeasures for sleep disruption and circadian misalignment during spaceflight. Curr Opin Pulm Med, 22(6), 535–44. [DOI] [PubMed] [Google Scholar]
  • 90.ISS interior solid-state lighting assembly (SSLA) specification. Revision C. National Aeronautics and Space Administration, Johnson Space Center, Houston (TX), 2013; pp. 1–60. [Google Scholar]
  • 91.Brown TM, Brainard GC, Cajochen C et al. (2022). Recommendations for daytime, evening, and nighttime indoor light exposure to best support physiology, sleep, and wakefulness in healthy adults. PLoS Biol, 20(3), e3001571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Benloucif S, Guico MJ, Reid KJ et al. (2005). Stability of melatonin and temperature as circadian phase markers and their relation to sleep times in humans. J Biol Rhythms, 20(2), 178–88. [DOI] [PubMed] [Google Scholar]
  • 93.Brown EN, Choe Y, Shanahan TL et al. (1997). A mathematical model of diurnal variations in human plasma melatonin levels. Am J Physiol, 272(3 Pt 1), E506–16. [DOI] [PubMed] [Google Scholar]

RESOURCES