Evidence map›Paper›PMID 38066325›Full record

ArticleWiener klinische Wochenschrift2024

Eeny, meeny, miny, moe-Summer time and out are you? The working population in the EU would likely benefit from elimination of daylight saving time.

Eva S Schernhammer, Susanne Strohmaier, Philip Vonderlind

Abstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  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

3 authors.

Eva S SchernhammerDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria. eva.schernhammer@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-4337-9415
Susanne StrohmaierDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
Philip VonderlindInstitute for Informatics, Technical University of Vienna, Favoritenstr. 9-11, 1040, Vienna, Austria.

Funding

HORIZON EUROPE European Research Council 10105322
6 · The paper itself

Abstract

Daylight (saving) time (DST) is an over one century old practice to maximize the overlap between natural day light and individual active time (i.e., non-sleep time). Whether to abandon the practice is subject to an ongoing, twice a year intensifying debate. A request to abandon the practice is based on the lack of benefits in terms of energy savings and potential negative health effects. We present a tool that captures one key aspect of importance to the circadian system: maximizing the overlap of natural day light with human active time, focusing on early morning light exposure as the primary stimulus for our circadian system. Based on publicly available data we incorporated an approximation of the 27 European Union (EU) countries' spatial population distribution into a calculation of average exposure to morning sunlight under DST or no DST conditions for each EU27 country and the entire region. An online app offers visualization of these differences on the country level alongside a population-weighted average for the EU27. Our findings support that the majority of the EU's working population would likely benefit from the elimination of daylight saving time if maximizing an adequate morning stimulus is the primary goal and adjusting actual time zones or biennially changing the clock is not an option.

Indexed as

Circadian RhythmEuropean UnionHumansPhotoperiodSeasonsSunlightWork Schedule ToleranceCircadian systemDay light saving timeEuropean UnionSummer time

Identifiers

PMID38066325
PMCPMC11239733

What OpenQuestion holds

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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.