Evidence map›Paper›PMID 35832886›Full record

ArticleiScience2022

Evaluation of environmental, social, and behavioral modulations of the circadian phase of dancers trained in shifts.

Natalia Coirolo, Cecilia Casaravilla, Bettina Tassino, Ana Silva

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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    Article
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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

4 authors at 1 institution in 1 country.

Natalia CoiroloGrupo Cronobiología, Comisión Sectorial de Investigación Científica, Universidad de la República, Jackson 13 01, 11200 Montevideo, Uruguay.
Cecilia CasaravillaLaboratorio de Inmunología, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Iguá 4225, 11400 Montevideo, Uruguay.
Bettina TassinoGrupo Cronobiología, Comisión Sectorial de Investigación Científica, Universidad de la República, Jackson 13 01, 11200 Montevideo, Uruguay.
Ana SilvaGrupo Cronobiología, Comisión Sectorial de Investigación Científica, Universidad de la República, Jackson 13 01, 11200 Montevideo, Uruguay.
Universidad de la República de Uruguay · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interplay of environmental, social, and behavioral factors influencing human circadian phase in ecological conditions remains elusive. The Uruguayan national dance school END-SODRE operating in two shifts (morning: 8:30-12:30 and night: 20:00-24:00) allowed us to evaluate how social demands, chronotype, environmental light, physical activity, and sleep patterns affected individual circadian phase measured by the onset of the nocturnal increase of melatonin (DLMO) in a single study. The DLMO was 1.5 h earlier in morning-shift dancers (n = 7) compared to night-shift dancers (n = 11). Sleep time and chronotype (only in night-shift dancers) were associated with the circadian phase. In training days, during each participant's phase-advance and phase-delay time windows, light exposure was similar between morning and night-shift dancers and did not correlate with DLMO. In contrast, the time spent in moderate-vigorous physical activity during each participant's phase-lag time window was higher in night-shift dancers than in morning-shift dancers and positively correlated with DLMO.

Indexed as

Biological sciencesChronobiologyNeurosciencePhysiology

Identifiers

PMID35832886
PMCPMC9272370
OpenAlexW4283456193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.