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
Publication date
2024-07-22
Document type
Forschungsartikel
Author
Biller, Anna M.
Fatima, Nayab
Hamberger, Chrysanth
Hainke, Laura
Plankl, Verena
Nadeem, Amna
Kramer, Achim
Spitschan, Manuel
Organisational unit
Publisher
Wiley
Series or journal
Journal of Sleep Research
ISSN
Periodical volume
34
Periodical issue
2
Article ID
e14225
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Abstract
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.
Description
This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Published version
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