The Ecology of Human Sleep (EcoSleep) Cohort Study: Protocol for a longitudinal repeated measurement burst design study to assess the relationship between sleep determinants and outcomes under real-world conditions across time of year.
individual sleep differences
naturalistic conditions
photoperiod
prospective cohort study
season
sleep architecture
sleep variability
Journal
Journal of sleep research
ISSN: 1365-2869
Titre abrégé: J Sleep Res
Pays: England
ID NLM: 9214441
Informations de publication
Date de publication:
22 Jul 2024
22 Jul 2024
Historique:
revised:
08
04
2024
received:
26
02
2024
accepted:
11
04
2024
medline:
23
7
2024
pubmed:
23
7
2024
entrez:
22
7
2024
Statut:
aheadofprint
Résumé
The interplay of daily life factors, including mood, physical activity, or light exposure, influences sleep architecture and quality. Laboratory-based studies often isolate these determinants to establish causality, thereby sacrificing ecological validity. Furthermore, little is known about time-of-year changes in sleep and circadian-related variables at high resolution, including the magnitude of individual change across time of year under real-world conditions. The Ecology of Human Sleep (EcoSleep) cohort study will investigate the combined impact of sleep determinants on individuals' daily sleep episodes to elucidate which waking events modify sleep patterns. A second goal is to describe high-resolution individual sleep and circadian-related changes across the year to understand intra- and inter-individual variability. This study is a prospective cohort study with a measurement-burst design. Healthy adults aged 18-35 years (N = 12) will be enrolled for 12 months. Participants will continuously wear actimeters and pendant-attached light loggers. A subgroup will also measure interstitial fluid glucose levels (six paticipants). Every 4 weeks, all participants will undergo three consecutive measurement days of four ecological momentary assessments each day ('bursts') to sample sleep determinants during wake. Participants will also continuously wear temperature loggers (iButtons) during the bursts. Body weight will be captured before and after the bursts in the laboratory. The bursts will be separated by two at-home electroencephalogram recordings each night. Circadian phase and amplitude will be estimated during the bursts from hair follicles, and habitual melatonin onset will be derived through saliva sampling. Environmental parameters (bedroom temperature, humidity, and air pressure) will be recorded continuously.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e14225Subventions
Organisme : Deutsche Gesellschaft für Schlafforschung und Schlafmedizin e.V
Organisme : Technical University of Munich
ID : TUMSeedFund
Organisme : Max Planck Society
Informations de copyright
© 2024 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.
Références
Askenasy, J. J. M., & Goldstein, R. (1995). Does a subtropical climate imply a seasonal rhythm in REM sleep? Sleep, 18, 895–900. https://doi.org/10.1093/sleep/18.10.895
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed‐effects models using lme4. Journal of Statistical Software, 67, 1–48. https://doi.org/10.18637/jss.v067.i01
Benedetti, D., Frati, E., Kiss, O., Yuksel, D., Faraguna, U., Hasler, B. P., Franzen, P. L., Clark, D. B., Baker, F. C., & de Zambotti, M. (2023). Performance evaluation of the open‐source yet another spindle algorithm sleep staging algorithm against gold standard manual evaluation of polysomnographic records in adolescence. Sleep Health, 9, 910–924. https://doi.org/10.1016/j.sleh.2023.07.019
Blume, C., Garbazza, C., & Spitschan, M. (2019). Effects of light on human circadian rhythms, sleep and mood. Somnologie (Berl), 23, 147–156. https://doi.org/10.1007/s11818-019-00215-x
Brown, T. M. (2020). Melanopic illuminance defines the magnitude of human circadian light responses under a wide range of conditions. Journal of Pineal Research, 69, e12655. https://doi.org/10.1111/jpi.12655
Buguet, A., Rivolier, J., & Jouvet, M. (1987). Human sleep patterns in Antarctica. Sleep, 10, 374–382. https://doi.org/10.1093/sleep/10.4.374
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28, 193–213. https://doi.org/10.1016/0165-1781(89)90047-4
Cajochen, C., Stefani, O., Schöllhorn, I., Lang, D., & Chellappa, S. (2022). Influence of evening light exposure on polysomnographically assessed night‐time sleep: A systematic review with meta‐analysis. Lighting Research & Technology, 54, 609–624. https://doi.org/10.1177/14771535221078765
Chellappa, S. L., Steiner, R., Oelhafen, P., Lang, D., Götz, T., Krebs, J., & Cajochen, C. (2013). Acute exposure to evening blue‐enriched light impacts on human sleep. Journal of Sleep Research, 22, 573–580. https://doi.org/10.1111/jsr.12050
CIE, CIE S 026/E:2018: CIE System for Metrology of Optical Radiation for ipRGC‐Influenced Responses to Light. 2018, CIE Central Bureau: Vienna, Austria.
Danilenko, K. V., Verevkin, E. G., Antyufeev, V. S., Wirz‐Justice, A., & Cajochen, C. (2014). The hockey‐stick method to estimate evening dim light melatonin onset (DLMO) in humans. Chronobiology International, 31, 349–355. https://doi.org/10.3109/07420528.2013.855226
Driver, C. C., Oud, J. H. L., & Voelkle, M. C. (2017). Continuous time structural equation modeling with R package ctsem. Journal of Statisttical Software, 77, 77. https://doi.org/10.18637/jss.v077.i05
Driver, C. C., & Voelkle, M. C. (2018). Hierarchical Bayesian continuous time dynamic modeling. Psychological Methods, 23, 774–799. https://doi.org/10.1037/met0000168
Duffy, J. F., & Wright, K. P. (2005). Entrainment of the human circadian system by light. Journal of Biological Rhythms, 20, 326–338. https://doi.org/10.1177/0748730405277983
Ferguson, T., Curtis, R., Fraysse, F., Lagiseti, R., Northcott, C., Virgara, R., Watson, A., & Maher, C. A. (2021). Annual, seasonal, cultural and vacation patterns in sleep, sedentary behaviour and physical activity: A systematic review and meta‐analysis. BMC Public Health, 21, 1384. https://doi.org/10.1186/s12889-021-11298-3
Foster, R. G., & Wulff, K. (2005). The rhythm of rest and excess. Nature Reviews. Neuroscience, 6, 407–414. https://doi.org/10.1038/nrn1670
Fox, J., & Weisberg, S. (2011). An R companion to applied regression. Sage Publications.
Fox, J., & Weisberg, S. (2018). Visualizing fit and lack of fit in complex regression models with predictor effect plots and partial residuals. Journal of Statistical Software, 87, 87. https://doi.org/10.18637/jss.v087.i09
Garbarino, S., Lanteri, P., Bragazzi, N. L., Magnavita, N., & Scoditti, E. (2021). Role of sleep deprivation in immune‐related disease risk and outcomes. Communications Biology, 4, 1304. https://doi.org/10.1038/s42003-021-02825-4
Grandner, M. A., Valencia, D. Y., Seixas, A. A., Oliviér, K., Gallagher, R. A., Killgore, W. D. S., Hale, L., Branas, C., & Alfonso‐Miller, P. (2022). Development and initial validation of the assessment of sleep environment (ASE): Describing and quantifying the impact of subjective environmental factors on sleep. International Journal of Environmental Research and Public Health, 19, 13599. https://doi.org/10.3390/ijerph192013599
Hammad, G., Reyt, M., Beliy, N., Baillet, M., Deantoni, M., Lesoinne, A., Muto, V., & Schmidt, C. (2021). pyActigraphy: Open‐source python package for actigraphy data visualization and analysis. PLoS Computational Biology, 17, e1009514. https://doi.org/10.1371/journal.pcbi.1009514
Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O'Neal, L., McLeod, L., Delacqua, G., Delacqua, F., Kirby, J., & Duda, S. N. (2019). The REDCap consortium: Building an international community of software platform partners. Journal of Biomedical Informatics, 95, 103208. https://doi.org/10.1016/j.jbi.2019.103208
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009). Research electronic data capture (REDCap)—A metadata‐driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42, 377–381. https://doi.org/10.1016/j.jbi.2008.08.010
Harrison, Y. (2013). The impact of daylight saving time on sleep and related behaviours. Sleep Medicine Reviews, 17, 285–292. https://doi.org/10.1016/j.smrv.2012.10.001
Herer, P., & Lavie, P. (1997). Nonreplicability of seasonal rhythm in REM sleep in a subtropical climate. Sleep, 20, 359–361. https://doi.org/10.1093/sleep/20.5.359
Honma, K., Honma, S., Kohsaka, M., & Fukuda, N. (1992). Seasonal variation in the human circadian rhythm: Dissociation between sleep and temperature rhythm. The American Journal of Physiology, 262, R885–R891. https://doi.org/10.1152/ajpregu.1992.262.5.R885
Hyndman, R. J., & Khandakar, Y. (2008). Automatic time series forecasting: The forecast package for R. Journal of Statistical Software, 27, 1–22. https://doi.org/10.18637/jss.v027.i03
Irish, L. A., Kline, C. E., Gunn, H. E., Buysse, D. J., & Hall, M. H. (2015). The role of sleep hygiene in promoting public health: A review of empirical evidence. Sleep Medicine Reviews, 22, 23–36. https://doi.org/10.1016/j.smrv.2014.10.001
Joern, A. T., Shurley, J. T., Brooks, R. E., Guenter, C. A., & Pierce, C. M. (1970). Short‐term changes in sleep patterns on arrival at the south polar plateau. Archives of Internal Medicine, 125, 649–654.
John, O. P., Donahue, E. M., & Kentle, R. L. (1991). Big Five Inventory (BFI) [Database record]. APA PsycTests. https://doi.org/10.1037/t07550-000
Lillie, E. O., Patay, B., Diamant, J., Issell, B., Topol, E. J., & Schork, N. J. (2011). The n‐of‐1 clinical trial: The ultimate strategy for individualizing medicine? Personalized Medicine, 8, 161–173. https://doi.org/10.2217/pme.11.7
Luyster, F. S., Strollo, P. J., Zee, P. C., & Walsh, J. K. (2012). Sleep: A health imperative. Sleep, 35, 727–734. https://doi.org/10.5665/sleep.1846
Mattingly, S. M., Grover, T., Martinez, G. J., Aledavood, T., Robles‐Granda, P., Nies, K., Striegel, A., & Mark, G. (2021). The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing. npj Digital Medicine, 4, 76. https://doi.org/10.1038/s41746-021-00435-2
Obeid, I., Selesnick, I., & Picone, J. (Eds.). (2021). Biomedical signal processing: Innovation and applications. Springer International Publishing. https://doi.org/10.1007/978-3-030-67494-6
Pattyn, N., Van Puyvelde, M., Fernandez‐Tellez, H., Roelands, B., & Mairesse, O. (2018). From the midnight sun to the longest night: Sleep in Antarctica. Sleep Medicine Reviews, 37, 159–172. https://doi.org/10.1016/j.smrv.2017.03.001
Philippens, N., Janssen, E., Kremers, S., & Crutzen, R. (2022). Determinants of natural adult sleep: An umbrella review. PLoS One, 17, e0277323. https://doi.org/10.1371/journal.pone.0277323
Pintado, M. R., Anderson, G. C., DeLong, R., & Douglas, W. H. (1997). Variation in tooth wear in young adults over a two‐year period. The Journal of Prosthetic Dentistry, 77, 313–320. https://doi.org/10.1016/S0022-3913(97)70189-6
Pontes, H. M., & Griffiths, M. D. (2017). Internet Gaming Disorder Scale ‐ 9‐Item Short Form. https://doi.org/10.1037/t56703-000
Pruessner, J. C., Kirschbaum, C., Meinlschmid, G., & Hellhammer, D. H. (2003). Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time‐dependent change. Psychoneuroendocrinology, 28, 916–931. https://doi.org/10.1016/S0306-4530(02)00108-7
Robbins, R., Affouf, M., Seixas, A., Beaugris, L., Avirappattu, G., & Jean‐Louis, G. (2020). Four‐year trends in sleep duration and quality: A longitudinal study using data from a commercially available sleep tracker. Journal of Medical Internet Research, 22, e14735. https://doi.org/10.2196/14735
Roenneberg, T., Wirz‐Justice, A., & Merrow, M. (2003). Life between clocks: Daily temporal patterns of human chronotypes. Journal of Biological Rhythms, 18, 80–90. https://doi.org/10.1177/0748730402239679
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 48. https://doi.org/10.18637/jss.v048.i02
Saunders, J. B., Aasland, O. G., Babor, T. F., De La Fuente, J. R., & Grant, M. (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption‐II. Addiction, 88, 791–804. https://doi.org/10.1111/j.1360-0443.1993.tb02093.x
Seidler, A., Weihrich, K. S., Bes, F., De Zeeuw, J., & Kunz, D. (2023). Seasonality of human sleep: Polysomnographic data of a neuropsychiatric sleep clinic. Frontiers in Neuroscience, 17, 1105233. https://doi.org/10.3389/fnins.2023.1105233
Shatte, A., & Teague, S. (2019). Schema. https://doi.org/10.5281/ZENODO.3243918
Shatte, A. B. R., & Teague, S. J. (2020). Schema: An open‐source, distributed mobile platform for deploying mHealth research tools and interventions. BMC Medical Research Methodology, 20, 91. https://doi.org/10.1186/s12874-020-00973-5
Sliwinski, M. J. (2008). Measurement‐burst designs for social Health Research: Longitudinal measurement‐burst design. Social and Personality Psychology Compass, 2, 245–261. https://doi.org/10.1111/j.1751-9004.2007.00043.x
Spitschan, M., Smolders, K., Vandendriessche, B., Bent, B., Bakker, J. P., Rodriguez‐Chavez, I. R., & Vetter, C. (2022). Verification, analytical validation and clinical validation (V3) of wearable dosimeters and light loggers. Digital Health, 8, 20552076221144858. https://doi.org/10.1177/20552076221144858
Spitschan, M., Stefani, O., Blattner, P., Gronfier, C., Lockley, S., & Lucas, R. (2019). How to report light exposure in human chronobiology and sleep research experiments. Clocks & Sleep, 1, 280–289. https://doi.org/10.3390/clockssleep1030024
Stalder, T., Kirschbaum, C., Kudielka, B. M., Adam, E. K., Pruessner, J. C., Wüst, S., Dockray, S., Smyth, N., Evans, P., Hellhammer, D. H., Miller, R., Wetherell, M. A., Lupien, S. J., & Clow, A. (2016). Assessment of the cortisol awakening response: Expert consensus guidelines. Psychoneuroendocrinology, 63, 414–432. https://doi.org/10.1016/j.psyneuen.2015.10.010
Vallat, R., & Walker, M. P. (2021). An open‐source, high‐performance tool for automated sleep staging. eLife, 10, e70092. https://doi.org/10.7554/eLife.70092
Van Dongen, H., Kerkhof, G., & Klöppel, H. (1997). Seasonal covariation of the circadian phases of rectal temperature and slow wave sleep onset. Journal of Sleep Research, 6, 19–25. https://doi.org/10.1046/j.1365-2869.1997.00021.x
Voinescu, B. I., & Szentagotai‐Tatar, A. (2015). Sleep hygiene awareness: Its relation to sleep quality and diurnal preference. Journal of Molecular Psychiatry, 3, 1. https://doi.org/10.1186/s40303-015-0008-2
Wams, E. J., Woelders, T., Marring, I., van Rosmalen, L., Beersma, D. G. M., Gordijn, M. C. M., & Hut, R. A. (2017). Linking light exposure and subsequent sleep: A field polysomnography study in humans. Sleep, 40, 40. https://doi.org/10.1093/sleep/zsx165
Weed, L., Lok, R., Chawra, D., & Zeitzer, J. (2022). The impact of missing data and imputation methods on the analysis of 24‐hour activity patterns. Clocks and Sleep, 4, 497–507. https://doi.org/10.3390/clockssleep4040039
Wehr, T. A. (1991). The durations of human melatonin secretion and sleep respond to changes in daylength (photoperiod). The Journal of Clinical Endocrinology & Metabolism, 73, 1276–1280. https://doi.org/10.1210/jcem-73-6-1276
Wehr, T. A., Giesen, H. A., Moul, D. E., Turner, E. H., & Schwartz, P. J. (1995). Suppression of men's responses to seasonal changes in day length by modern artificial lighting. The American Journal of Physiology, 269, R173–R178. https://doi.org/10.1152/ajpregu.1995.269.1.R173
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis (Vol. 2016, 2nd ed.). Springer. https://doi.org/10.1007/978-3-319-24277-4
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4, 1686. https://doi.org/10.21105/joss.01686
Wittenbrink, N., Ananthasubramaniam, B., Münch, M., Koller, B., Maier, B., Weschke, C., Bes, F., de Zeeuw, J., Nowozin, C., Wahnschaffe, A., Wisniewski, S., Zaleska, M., Bartok, O., Ashwal‐Fluss, R., Lammert, H., Herzel, H., Hummel, M., Kadener, S., Kunz, D., & Kramer, A. (2018). High‐accuracy determination of internal circadian time from a single blood sample. The Journal of Clinical Investigation, 128, 3826–3839. https://doi.org/10.1172/JCI120874
Zauner, J., & Spitschan, M. (2023). LightLogR: Working With Wearable Light Logger Data. R Package. https://github.com/tscnlab/LightLogR accessed January 17, 2023.