A randomized controlled trial on the effects of blue-blocking glasses compared to partial blue-blockers on sleep outcomes in the third trimester of pregnancy

Randi Liset, Janne Grønli, Roger E Henriksen, Tone E G Henriksen, Roy M Nilsen, Ståle Pallesen, Randi Liset, Janne Grønli, Roger E Henriksen, Tone E G Henriksen, Roy M Nilsen, Ståle Pallesen

Abstract

Objective: Sleep disturbances are common in pregnancy. Blocking blue light has been shown to improve sleep and may be a suitable intervention for sleep problems during pregnancy. The present study investigated the effects of blue light blocking in the evening and during nocturnal awakenings among pregnant women on primary sleep outcomes in terms of total sleep time, sleep efficiency and mid-point of sleep.

Methods: In a double-blind randomized controlled trial, 60 healthy nulliparous pregnant women in the beginning of the third trimester were included. They were randomized, using a random number generator, either to a blue-blocking glass intervention (n = 30) or to a control glass condition constituting partial blue-blocking effect (n = 30). Baseline data were recorded for one week and outcomes were recorded in the last of two intervention/control weeks. Sleep was measured by actigraphy, sleep diaries, the Bergen Insomnia Scale, the Karolinska Sleepiness Scale and the Pre-Sleep Arousal Scale.

Results: The results on the primary outcomes showed no significant mean difference between the groups at posttreatment, neither when assessed with sleep diary; total sleep time (difference = .78[min], 95%CI = -19.7, 21.3), midpoint of sleep (difference = -8.9[min], 95%CI = -23.7, 5.9), sleep efficiency (difference = -.06[%], 95%CI = -1.9, 1.8) and daytime functioning (difference = -.05[score points], 95%CI = -.33, .22), nor by actigraphy; total sleep time (difference = 13.0[min], 95%CI = -9.5, 35.5), midpoint of sleep (difference = 2.1[min], 95%CI = -11.6, 15.8) and sleep efficiency (difference = 1.7[%], 95%CI = -.4, 3.7). On the secondary outcomes, the Bergen Insomnia Scale, the Karolinska Sleepiness Scale and the Pre-Sleep Arousal Scale the blue-blocking glasses no statistically significant difference between the groups were found. Transient side-effects were reported in both groups (n = 3).

Conclusions: The use of blue-blocking glasses compared to partially blue-blocking glasses in a group of healthy pregnant participants did not show statistically significant effects on sleep outcomes. Research on the effects of blue-blocking glasses for pregnant women with sleep-problems or circadian disturbances is warranted.

Trial registration: The trial is registered at ClinicalTrials.gov (NCT03114072).

Conflict of interest statement

We have read the journal’s policy and the authors of this manuscript have the following competing interests to report: REH and TEGH are share-holders in Chrono Chrome AS. TEGH has received speaker honorarium from H. Lundbeck AS. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1. Flowchart of enrollment of pregnant…
Fig 1. Flowchart of enrollment of pregnant women in the study.
Fig 2. Irradiance spectra from intervention- and…
Fig 2. Irradiance spectra from intervention- and control glasses.
Note the near complete filtering of blue light spectral irradiance (

Fig 3. Daily sleep during the second…

Fig 3. Daily sleep during the second intervention period (subjective data).

The pattern of daily…

Fig 3. Daily sleep during the second intervention period (subjective data).
The pattern of daily changes in total sleep time, midpoint of sleep and sleep efficiency presented with mean and standard deviation for the second intervention week.
Fig 3. Daily sleep during the second…
Fig 3. Daily sleep during the second intervention period (subjective data).
The pattern of daily changes in total sleep time, midpoint of sleep and sleep efficiency presented with mean and standard deviation for the second intervention week.

References

    1. Nodine PM, Matthews EE. Common sleep disorders: management strategies and pregnancy outcomes. J Midwifery Womens Health. 2013;58(4):368–77. doi: 10.1111/jmwh.12004
    1. Abbott SM, Attarian H, Zee PC. Sleep disorders in perinatal women. Best Pract Res Clin Obstet Gynaecol. 2014;28(1):159–68. doi: 10.1016/j.bpobgyn.2013.09.003
    1. Facco FL, Kramer J, Ho KH, et al.. Sleep disturbances in pregnancy. Obstetrics and Gynecology. 2010;115(1):77–83. doi: 10.1097/AOG.0b013e3181c4f8ec
    1. Wilson DL, Barnes M, Ellett L, et al.. Decreased sleep efficiency, increased wake after sleep onset and increased cortical arousals in late pregnancy. ANZJOG. 2011;51(1):38–46. doi: 10.1111/j.1479-828X.2010.01252.x
    1. Sedov ID, Cameron EE, Madigan S, Tomfohr-Madsen LM. Sleep quality during pregnancy: A meta-analysis. Sleep Med Rev. 2018;38:168–76. doi: 10.1016/j.smrv.2017.06.005
    1. Dorheim SK, Bjorvatn B, Eberhard-Gran M. Insomnia and depressive symptoms in late pregnancy: a population-based study. Behav Sleep Med. 2012;10(3):152–66. doi: 10.1080/15402002.2012.660588
    1. Sedov ID, Anderson NJ, Dhillon AK, Tomfohr-Madsen LM. Insomnia symptoms during pregnancy: A meta-analysis. Journal of sleep research. 2021;30(1):e13207. doi: 10.1111/jsr.13207
    1. American Academy of Sleep Medicine. International Classification of Sleep Disorders. In: Medicine AAoS, editor. Third Edition (ICSD-3) ed. Chicago: Third Edition (ICSD-3); 2014.
    1. Ding XX, Wu YL, Xu SJ, Zhang SF, Jia XM, Zhu RP, et al.. A systematic review and quantitative assessment of sleep-disordered breathing during pregnancy and perinatal outcomes. Sleep Breath. 2014;18(4):703–13. doi: 10.1007/s11325-014-0946-4
    1. Palagini L, Gemignani A, Banti S, Manconi M, Mauri M, Riemann D. Chronic sleep loss during pregnancy as a determinant of stress: impact on pregnancy outcome. Sleep medicine. 2014;15(8):853–9. doi: 10.1016/j.sleep.2014.02.013
    1. Bacaro V, Benz F, Pappaccogli A, De Bartolo P, Johann AF, Palagini L, et al.. Interventions for sleep problems during pregnancy: A systematic review. Sleep Med Rev. 2020;50:101234. doi: 10.1016/j.smrv.2019.101234
    1. Okun ML, Ebert R, Saini B. A review of sleep-promoting medications used in pregnancy. Am J Obstet Gynecol. 2015;212(4):428–41. doi: 10.1016/j.ajog.2014.10.1106
    1. Reichner CA. Insomnia and sleep deficiency in pregnancy. Obstet Med. 2015;8(4):168–71. doi: 10.1177/1753495X15600572
    1. Manber R, Bei B, Simpson N, Asarnow L, Rangel E, Sit A, et al.. Cognitive Behavioral Therapy for Prenatal Insomnia: A Randomized Controlled Trial. Obstet Gynecol. 2019;133(5):911–9. doi: 10.1097/AOG.0000000000003216
    1. Souman JL, Tinga AM, Te Pas SF, van Ee R, Vlaskamp BNS. Acute alerting effects of light: A systematic literature review. Behav Brain Res. 2018;337:228–39. doi: 10.1016/j.bbr.2017.09.016
    1. Gronli J, Byrkjedal IK, Bjorvatn B, Nodtvedt O, Hamre B, Pallesen S. Reading from an iPad or from a book in bed: the impact on human sleep. A randomized controlled crossover trial. Sleep medicine. 2016;21:86–92. doi: 10.1016/j.sleep.2016.02.006
    1. Sasseville A, Martin JS, Houle J, Hebert M. Investigating the contribution of short wavelengths in the alerting effect of bright light. Physiol Behav. 2015;151:81–7. doi: 10.1016/j.physbeh.2015.06.028
    1. van der Lely S, Frey S, Garbazza C, Wirz-Justice A, Jenni OG, Steiner R, et al.. Blue blocker glasses as a countermeasure for alerting effects of evening light-emitting diode screen exposure in male teenagers. J Adolesc Health. 2015;56(1):113–9. doi: 10.1016/j.jadohealth.2014.08.002
    1. Bartel KA, Gradisar M, Williamson P. Protective and risk factors for adolescent sleep: a meta-analytic review. Sleep Med Rev. 2015;21:72–85. doi: 10.1016/j.smrv.2014.08.002
    1. Esaki Y, Kitajima T, Obayashi K, Saeki K, Fujita K, Iwata N. Light exposure at night and sleep quality in bipolar disorder: The APPLE cohort study. J Affect Disord. 2019;257:314–20. doi: 10.1016/j.jad.2019.07.031
    1. Faulkner SM, Bee PE, Meyer N, Dijk DJ, Drake RJ. Light therapies to improve sleep in intrinsic circadian rhythm sleep disorders and neuro-psychiatric illness: A systematic review and meta-analysis. Sleep Med Rev. 2019;46:108–23. doi: 10.1016/j.smrv.2019.04.012
    1. Buijs RM, Kalsbeek A. Hypothalamic integration of central and peripheral clocks. Nat Rev Neurosci. 2001;2(7):521–6. doi: 10.1038/35081582
    1. Berson DM. Phototransduction in ganglion-cell photoreceptors. Pflugers Arch. 2007;454(5):849–55. doi: 10.1007/s00424-007-0242-2
    1. Brainard GC, Hanifin JP, Greeson JM, Byrne B, Glickman G, Gerner E, et al.. Action spectrum for melatonin regulation in humans: evidence for a novel circadian photoreceptor. J Neurosci. 2001;21(16):6405–12. doi: 10.1523/JNEUROSCI.21-16-06405.2001
    1. Sasseville A, Paquet N, Sevigny J, Hebert M. Blue blocker glasses impede the capacity of bright light to suppress melatonin production.(Author abstract). Journal of Pineal Research. 2006;41:73–8. doi: 10.1111/j.1600-079X.2006.00332.x
    1. Kayumov L, Casper RF, Hawa RJ, Perelman B, Chung SA, Sokalsky S, et al.. Blocking low-wavelength light prevents nocturnal melatonin suppression with no adverse effect on performance during simulated shift work. J Clin Endocrinol Metab. 2005;90(5):2755–61. doi: 10.1210/jc.2004-2062
    1. van de Werken M, Gimenez MC, de Vries B, Beersma DG, Gordijn MC. Short-wavelength attenuated polychromatic white light during work at night: limited melatonin suppression without substantial decline of alertness. Chronobiol Int. 2013;30(7):843–54. doi: 10.3109/07420528.2013.773440
    1. Wada K, Nagata C, Nakamura K, Iwasa S, Shiraki M, Shimizu H. Light exposure at night, sleep duration and sex hormone levels in pregnant Japanese women. Endocr J. 2012;59(5):393–8. doi: 10.1507/endocrj.ej11-0325
    1. Liset R, Gronli J, Henriksen RE, Henriksen TEG, Nilsen RM, Pallesen S. Sleep, evening light exposure and perceived stress in healthy nulliparous women in the third trimester of pregnancy. Plos One. 2021;16(6):e0252285. doi: 10.1371/journal.pone.0252285
    1. Figueiro MG, Wood B, Plitnick B, Rea MS. The impact of light from computer monitors on melatonin levels in college students. Neuro Endocrinol Lett. 2011;32(2):158–63.
    1. Bennett S, Alpert M, Kubulins V, Hansler RL. Use of modified spectacles and light bulbs to block blue light at night may prevent postpartum depression. Med Hypotheses. 2009;73(2):251–3. doi: 10.1016/j.mehy.2009.01.049
    1. Burkhart K, Phelps JR. Amber lenses to block blue light and improve sleep: a randomized trial. Chronobiol Int. 2009;26(8):1602–12. doi: 10.3109/07420520903523719
    1. Ayaki M, Hattori A, Maruyama Y, Nakano M, Yoshimura M, Kitazawa M, et al.. Protective effect of blue-light shield eyewear for adults against light pollution from self-luminous devices used at night. Chronobiol Int. 2016;33(1):134–9. doi: 10.3109/07420528.2015.1119158
    1. Esaki Y, Kitajima T, Takeuchi I, Tsuboi S, Furukawa O, Moriwaki M, et al.. Effect of blue-blocking glasses in major depressive disorder with sleep onset insomnia: A randomized, double-blind, placebo-controlled study. Chronobiol Int. 2017;34(6):753–61. doi: 10.1080/07420528.2017.1318893
    1. Shechter A, Kim EW, St-Onge MP, Westwood AJ. Blocking nocturnal blue light for insomnia: A randomized controlled trial. J Psychiatr Res. 2018;96:196–202. doi: 10.1016/j.jpsychires.2017.10.015
    1. Henriksen TEG, Gronli J, Assmus J, Fasmer OB, Schoeyen H, Leskauskaite I, et al.. Blue-blocking glasses as additive treatment for mania: Effects on actigraphy-derived sleep parameters. Journal of sleep research. 2020;29(5):e12984. doi: 10.1111/jsr.12984
    1. Fargason R, Preston T, Hammond E, May R, Gamble K. Treatment of attention deficit hyperactivity disorder insomnia with blue wavelength light-blocking glasses. ChronoPhysiology and Therapy. 2013;3:1–8.
    1. Shechter A, Quispe KA, Barbecho JSM, Slater C, Falzon L. Interventions to reduce short-wavelength ("blue") light exposure at night and their effects on sleep: A systematic review and meta-analysis. Sleep Advances. 2020:1–13.
    1. McLaughlin C, Levin AV. The red reflex. Pediatr Emerg Care. 2006;22(2):137–40. doi: 10.1097/01.pec.0000199567.87134.81
    1. Carney CE, Buysse DJ, Ancoli-Israel S, Edinger JD, Krystal AD, Lichstein KL, et al.. The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep. 2012;35(2):287–302. doi: 10.5665/sleep.1642
    1. Pallesen S, Bjorvatn B, Nordhus IH, Sivertsen B, Hjornevik M, Morin CM. A new scale for measuring insomnia: the Bergen Insomnia Scale. Percept Mot Skills. 2008;107(3):691–706. doi: 10.2466/pms.107.3.691-706
    1. Akerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci. 1990;52(1–2):29–37. doi: 10.3109/00207459008994241
    1. Nicassio PM, Mendlowitz DR, Fussell JJ, Petras L. The phenomenology of the pre-sleep state: The development of the pre-sleep arousal scale. Behav Res Ther. 1985;23(3):263–71. doi: 10.1016/0005-7967(85)90004-x
    1. Smith MT, McCrae CS, Cheung J, Martin JL, Harrod CG, Heald JL, et al.. Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Systematic Review, Meta-Analysis, and GRADE Assessment. J Clin Sleep Med. 2018;14(7):1209–30. doi: 10.5664/jcsm.7228
    1. Reed DL, Sacco WP. Measuring Sleep Efficiency: What Should the Denominator Be? J Clin Sleep Med. 2016;12(2):263–6. doi: 10.5664/jcsm.5498
    1. Martin SK, Eastman CI. Sleep logs of young adults with self-selected sleep times predict the dim light melatonin onset. Chronobiology International. 2002;19(4):695–707. doi: 10.1081/cbi-120006080
    1. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91. doi: 10.3758/bf03193146
    1. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: . 2018.
    1. Hirshkowitz M, Whiton K, Albert SM, Alessi C, Bruni O, DonCarlos L, et al.. National Sleep Foundation’s sleep time duration recommendations: methodology and results summary. Sleep Health. 2015;1(1):40–3. doi: 10.1016/j.sleh.2014.12.010
    1. Hashizaki M, Nakajima H, Kume K. Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor. Sensors (Basel). 2015;15(8):18950–64. doi: 10.3390/s150818950
    1. Tsai SY, Lin JW, Kuo LT, Thomas KA. Daily sleep and fatigue characteristics in nulliparous women during the third trimester of pregnancy. Sleep. 2012;35(2):257–62. doi: 10.5665/sleep.1634
    1. Sivertsen B, Hysing M, Dorheim SK, Eberhard-Gran M. Trajectories of maternal sleep problems before and after childbirth: a longitudinal population-based study. BMC Pregnancy Childbirth. 2015;15:129. doi: 10.1186/s12884-015-0577-1
    1. Janku K, Smotek M, Farkova E, Koprivova J. Block the light and sleep well: Evening blue light filtration as a part of cognitive behavioral therapy for insomnia. Chronobiol Int. 2020;37(2):248–59. doi: 10.1080/07420528.2019.1692859
    1. Brainard GC, Hanifin JP, Warfield B, Stone MK, James ME, Ayers M, et al.. Short-wavelength enrichment of polychromatic light enhances human melatonin suppression potency. J Pineal Res. 2015;58(3):352–61. doi: 10.1111/jpi.12221
    1. Cajochen C, Frey S, Anders D, Spati J, Bues M, Pross A, et al.. Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. J Appl Physiol (1985). 2011;110(5):1432–8. doi: 10.1152/japplphysiol.00165.2011
    1. Chang AM, Aeschbach D, Duffy JF, Czeisler CA. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc Natl Acad Sci U S A. 2015;112(4):1232–7. doi: 10.1073/pnas.1418490112
    1. Henriksen TE, Skrede S, Fasmer OB, Schoeyen H, Leskauskaite I, Bjorke-Bertheussen J, et al.. Blue-blocking glasses as additive treatment for mania: a randomized placebo-controlled trial. Bipolar Disord. 2016;18(3):221–32. doi: 10.1111/bdi.12390
    1. Westreich D, Edwards JK, Lesko CR, Cole SR, Stuart EA. Target Validity and the Hierarchy of Study Designs. Am J Epidemiol. 2019;188(2):438–43. doi: 10.1093/aje/kwy228
    1. Pallesen S, Sivertsen B, Nordhus IH, Bjorvatn B. A 10-year trend of insomnia prevalence in the adult Norwegian population. Sleep medicine. 2014;15(2):173–9. doi: 10.1016/j.sleep.2013.10.009
    1. Coughlin SS. Recall bias in epidemiologic studies. J Clin Epidemiol. 1990;43(1):87–91. doi: 10.1016/0895-4356(90)90060-3
    1. Dodou D, de Winter JCF. Social desirability is the same in offline, online, and paper surveys: A meta-analysis. Computers in Human Behavior. 2014;36:487–95.
    1. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;88(5):879–903. doi: 10.1037/0021-9010.88.5.879
    1. Quante M, Kaplan ER, Cailler M, Rueschman M, Wang R, Weng J, et al.. Actigraphy-based sleep estimation in adolescents and adults: a comparison with polysomnography using two scoring algorithms. Nat Sci Sleep. 2018;10:13–20. doi: 10.2147/NSS.S151085

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