Protocol for a prospective, multicentre, cross-sectional cohort study to assess personal light exposure
Number of Authors: 202024 (English)In: BMC Public Health, E-ISSN 1471-2458, Vol. 24, no 1, article id 3285
Article in journal (Refereed) Published
Abstract [en]
Light profoundly impacts many aspects of human physiology and behaviour, including the synchronization of the circadian clock, the production of melatonin, and cognition. These effects of light, termed the non-visual effects of light, have been primarily investigated in laboratory settings, where light intensity, spectrum and timing can be carefully controlled to draw associations with physiological outcomes of interest. Recently, the increasing availability of wearable light loggers has opened the possibility of studying personal light exposure in free-living conditions where people engage in activities of daily living, yielding findings associating aspects of light exposure and health outcomes, supporting the importance of adequate light exposure at appropriate times for human health. However, comprehensive protocols capturing environmental (e.g., geographical location, season, climate, photoperiod) and individual factors (e.g., culture, personal habits, behaviour, commute type, profession) contributing to the measured light exposure are currently lacking. Here, we present a protocol that combines smartphone-based experience sampling (experience sampling implementing Karolinska Sleepiness Scale, KSS ratings) and high-quality light exposure data collection at three body sites (near-corneal plane between the two eyes mounted on spectacle, neck-worn pendant/badge, and wrist-worn watch-like design) to capture daily factors related to individuals’ light exposure. We will implement the protocol in an international multi-centre study to investigate the environmental and socio-cultural factors influencing light exposure patterns in Germany, Ghana, Netherlands, Spain, Sweden, and Turkey (minimum n = 15, target n = 30 per site, minimum n = 90, target n = 180 across all sites). With the resulting dataset, lifestyle and context-specific factors that contribute to healthy light exposure will be identified. This information is essential in designing effective public health interventions.
Place, publisher, year, edition, pages
BioMed Central Ltd , 2024. Vol. 24, no 1, article id 3285
Keywords [en]
Adult; Cross-Sectional Studies; Female; Humans; Light; Male; Prospective Studies; Smartphone; adult; clinical trial; cross-sectional study; female; human; light; male; multicenter study; prospective study; smartphone
National Category
Other Medical Sciences
Identifiers
URN: urn:nbn:se:ri:diva-76280DOI: 10.1186/s12889-024-20206-4Scopus ID: 2-s2.0-85210434379OAI: oai:DiVA.org:ri-76280DiVA, id: diva2:1937528
Note
The project (22NRM05 MeLiDos) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Further finding is provided by the TUM Global Incentive Fund (GIF0000031) to support the collaboration between TUM and KNUST, and TÜBİTAK –The Scientific and Technological Research Council of Türkiye (Grant no. 224S740).Open Access funding enabled and organized by Projekt DEAL.
2025-02-132025-02-132025-09-23Bibliographically approved