Evidence map›Paper›PMID 39592960›Full record

ArticleBMC public health2024

Protocol for a prospective, multicentre, cross-sectional cohort study to assess personal light exposure.

Carolina Guidolin, Sam Aerts, Gabriel Kwaku Agbeshie, Kwadwo Owusu Akuffo, Sema Nur Aydin, David Baeza-Moyano, John Bolte, Kai Broszio, Guadalupe Cantarero-García, Altug Didikoglu and 10 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Carolina GuidolinMax Planck Research Group Translational Sensory & Circadian Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Sam AertsResearch Group Smart Sensor Systems, The Hague University of Applied Sciences, The Hague, Netherlands.
Gabriel Kwaku AgbeshieDepartment of Optometry and Visual Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Kwadwo Owusu AkuffoDepartment of Optometry and Visual Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Sema Nur AydinDepartment of Neuroscience, Izmir Institute of Technology, Urla, Turkey.
David Baeza-MoyanoResearch Group ARIE, Department of Architecture and Design, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
John BolteResearch Group Smart Sensor Systems, The Hague University of Applied Sciences, The Hague, Netherlands.
Kai BroszioFederal Institute for Occupational Safety and Health (BAuA), Dortmund, Germany.
Guadalupe Cantarero-GarcíaResearch Group ARIE, Department of Architecture and Design, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
Altug DidikogluDepartment of Neuroscience, Izmir Institute of Technology, Urla, Turkey.
Roberto Alonso González-LezcanoResearch Group ARIE, Department of Architecture and Design, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
Hongli Joosten-MaResearch Group Smart Sensor Systems, The Hague University of Applied Sciences, The Hague, Netherlands.
Sofía Melero-TurResearch Group ARIE, Department of Architecture and Design, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
Maria Nilsson TengelinDepartment of Measurement Science and Technology, RISE Research Institutes of Sweden, Borås, Sweden.
María Concepción Pérez GutiérrezResearch Group ARIE, Department of Architecture and Design, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
Oliver StefaniLucerne University of Applied Sciences and Arts, Luzern, Switzerland.
Ingemar SvenssonDepartment of Measurement Science and Technology, RISE Research Institutes of Sweden, Borås, Sweden.
Ljiljana UdovičićFederal Institute for Occupational Safety and Health (BAuA), Dortmund, Germany.
Johannes ZaunerTUM School of Medicine and Health, Department Health and Sports Sciences, Chronobiology & Health, Technical University of Munich, Munich, Germany.
Manuel SpitschanMax Planck Research Group Translational Sensory & Circadian Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany. manuel.spitschan@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

LightAdultCross-Sectional StudiesFemaleHumansMaleMulticenter Studies as TopicProspective StudiesSmartphoneCircadian rhythmCross-sectional studiesEnvironmental exposureHealth behaviorLightPhotoperiodPhotoreception, non-visualPublic healthWearable electronic devices

Identifiers

PMID39592960
PMCPMC11590290

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.