Evidence map›Paper›PMID 35601653›Full record

ArticleZentralblatt fur Arbeitsmedizin, Arbeitsschutz und Ergonomie2022

[Prevalence of sleep disturbance in intensive care nurses: a post hoc analysis of a cross-sectional study].

Luis Möckel, Ann-Kathrin Hönl, Samantha Gräfe, Florian Jantz, Natalie S Werner

Open access · hybridAbstract readEnglish Abstract
In one paragraph

Article in Zentralblatt fur Arbeitsmedizin, Arbeitsschutz und Ergonomie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Luis MöckelHSD Hochschule Döpfer GmbH, University of Applied Sciences Köln, Waidmarkt 3 & 9, 50676 Köln, Deutschland.ORCID 0000-0002-1338-8433
Ann-Kathrin HönlHSD Hochschule Döpfer GmbH, University of Applied Sciences Köln, Waidmarkt 3 & 9, 50676 Köln, Deutschland.
Samantha GräfeHSD Hochschule Döpfer GmbH, University of Applied Sciences Köln, Waidmarkt 3 & 9, 50676 Köln, Deutschland.
Florian JantzHSD Hochschule Döpfer GmbH, University of Applied Sciences Köln, Waidmarkt 3 & 9, 50676 Köln, Deutschland.
Natalie S WernerHSD Hochschule Döpfer GmbH, University of Applied Sciences Köln, Waidmarkt 3 & 9, 50676 Köln, Deutschland.
TH Köln - University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intensive care nurses have irregular and unusual working hours due to shift work, which can disrupt the natural light-dark rhythm and thus increase the risk for sleep disorders. Aim of the work: The aim of this post hoc analysis was to investigate the prevalence of self-reported sleep problems and associated factors among intensive care nurses working in Germany. Methods: This analysis was a post hoc analysis of a cross-sectional study, which was performed as an online survey. Collected data were sociodemographic, work-related and health-related data. These data were used to calculate the prevalence and respective 95% confidence intervals (95% CI) of sleep problems. Factors associated with sleep problems were identified using the χ Results: The link to the online survey was accessed 1163 times and 490 intensive care nurses participated in the survey. A total of 432 intensive care nurses were included in this analysis, of whom 82.87% were women. A total of 57.64% (95% CI: 52.83-62.35%) reported sleep problems. Significantly associated with sleep problems were age (50-59 years odds ratio [OR]: 2.05, 95% CI: 1.00-4.21, Conclusion: Sleep problems were present in one out of every two participating intensive care nurses and in particular mental health was associated with sleep problems.

Indexed as

Emergency careHealthcare professionalsInsomniaMental healthShift workers

Identifiers

PMID35601653
PMCPMC9113068
OpenAlexW4280530189

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.