Evidence map›Paper›PMID 31815706›Full record

ArticleWork (Reading, Mass.)2019

The importance of including position and viewing direction when measuring and assessing the lighting conditions of office workers.

J van Duijnhoven, M P J Aarts, H S M Kort

Abstract read
In one paragraph

Article in Work (Reading, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

J van DuijnhovenDepartment of the Built Environment, Eindhoven University of Technology, Building Lighting Group, Eindhoven, The Netherlands.
M P J AartsDepartment of the Built Environment, Eindhoven University of Technology, Building Lighting Group, Eindhoven, The Netherlands.
H S M KortUniversity of Applied Sciences Utrecht, Research Centre for Sustainable and Healthy Living, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLight and alertness studies have applied different measurement methodologies to determine lighting conditions. However, it has been demonstrated that researchers rarely measure or describe the lighting conditions of their studies in sufficient detail to generalize conclusions or derive universal guidelines.

objectivePart I of this paper summarizes the current measurement methodologies used in light and alertness studies to potentially identify methodological issues. Part II determines the differences in lighting conditions for different viewing directions within an office environment.

methodsA literature review (part I) and both experimental studies and an observational study (part II) were undertaken in this study.

resultsPart I demonstrates that most light and alertness studies include photometric quantities; however, it is recommended that one should measure radiometric quantities as well. Further, the light measurements should be performed at the individual level. Part II demonstrates large differences in lighting conditions between viewing directions. For example, when looking toward the window, vertical illuminances were at least 12 times higher when compared to looking in the opposite direction.

conclusionsOur findings suggest that when analysing or designing an office environment, office workers' positions and viewing direction should be included in the determination of personal lighting conditions.

Indexed as

ErgonomicsLightAdultAttentionComputersHumansLightingNetherlandsSunlightWorkplacealertnessergonomicsLight measurementsnon-image-forming effectspersonal lighting conditions

Identifiers

PMID31815706
PMCPMC7029336

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Registered trials

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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.