Evidence map›Paper›PMID 35850690›Full record

ArticleBMC nursing2022

Sleep and work functioning in nurses undertaking inpatient shifts in a blue-depleted light environment.

Kaia Kjørstad, Patrick M Faaland, Børge Sivertsen, Håvard Kallestad, Knut Langsrud, Daniel Vethe, Cecilie L Vestergaard, Anette Harris, Ståle Pallesen, Jan Scott and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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

11 authors at 5 institutions in 3 countries.

Kaia KjørstadDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Patrick M FaalandDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Børge SivertsenDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Håvard KallestadDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Knut LangsrudDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Daniel VetheDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Cecilie L VestergaardDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.
Anette HarrisDepartment of Psychosocial Science, University of Bergen, Bergen, Norway.
Ståle PallesenDepartment of Psychosocial Science, University of Bergen, Bergen, Norway.
Jan ScottInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Øystein VedaaDepartment of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway. Oystein.Vedaa@fhi.no.
Norwegian University of Science and Technology · NOHaukeland University Hospital · NONewcastle University · GBSt Olav's University Hospital · NOUniversity of Bergen · NO

Funding

EkstraStiftelsen Helse og Rehabilitering (Stiftelsen Dam) 2018/FO198760
6 · The paper itself

Abstract

backgroundBlue-depleted light environments (BDLEs) may result in beneficial health outcomes for hospital inpatients in some cases. However, less is known about the effects on hospital staff working shifts. This study aimed to explore the effects of a BDLE compared with a standard hospital light environment (STLE) in a naturalistic setting on nurses' functioning during shifts and sleep patterns between shifts.

methodsTwenty-five nurses recruited from St. Olavs Hospital in Trondheim, Norway, completed 14 days of actigraphy recordings and self-reported assessments of sleep (e.g., total sleep time/sleep efficiency) and functioning while working shifts (e.g., mood, stress levels/caffeine use) in two different light environments. Additionally, participants were asked to complete several scales and questionnaires to assess the symptoms of medical conditions and mental health conditions and the side effects associated with each light environment.

resultsA multilevel fixed-effects regression model showed a within-subject increase in subjective sleepiness (by 17%) during evening shifts in the BDLE compared with the STLE (p = .034; Cohen's d = 0.49) and an 0.2 increase in number of caffeinated beverages during nightshifts in the STLE compared with the BDLE (p = .027; Cohen's d = 0.37). There were no significant differences on any sleep measures (either based on sleep diary data or actigraphy recordings) nor on self-reported levels of stress or mood across the two conditions. Exploratory between-group analyses of questionnaire data showed that there were no significant differences except that nurses working in the BDLE reported perceiving the lighting as warmer (p = .009) and more relaxing (p = .023) than nurses working in the STLE.

conclusionsOverall, there was little evidence that the change in the light environment had any negative impact on nurses' sleep and function, despite some indication of increased evening sleepiness in the BDLE. We recommend further investigations on this topic before BDLEs are implemented as standard solutions in healthcare institutions and propose specific suggestions for designing future large-scale trials and cohort studies.

trial registrationThe study was registered before data collection was completed on the ISRCTN website ( ISRCTN21603406 ).

Indexed as

Blue-depleted light environmentHospital lightingShift workSleepWork function

Identifiers

PMID35850690
PMCPMC9290304
OpenAlexW4285731316

What OpenQuestion 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 OpenQuestion graph.