Evidence map›Paper›PMID 41523377›Full record

ArticleCureus2025

Sleep Disturbance Among Nurses in Al-Dakhiliyah Governorate, Oman.

Abdullah Al Nabhani, Mohammed Al Harrasi, AlSalt Al Tubi, Ali Z Al Busaidi, Khalil Al Kharusi, Taleb Al Busaidi, Iman Al Furqani

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Abdullah Al NabhaniPsychiatry and Behavioral Sciences, Nizwa Hospital, Nizwa, OMN.
Mohammed Al HarrasiInternal Medicine, Nizwa Hospital, Nizwa, OMN.
AlSalt Al TubiPsychiatry and Behavioral Sciences, Nizwa Hospital, Nizwa, OMN.
Ali Z Al BusaidiEmergency Medicine, Nizwa Hospital, Nizwa, OMN.
Khalil Al KharusiCritical Care, Nizwa Hospital, Nizwa, OMN.
Taleb Al BusaidiStatistics, Bahla Hospital, Bahla, OMN.
Iman Al FurqaniNursing, Nizwa Hospital, Nizwa, OMN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses are at high risk of insomnia due to demanding schedules and psychosocial stressors. We investigated the prevalence, severity, and predictors of insomnia among nurses working in Al-Dakhiliyah Governorate, Oman.

methodsA cross-sectional survey of registered nurses (n=271) used a demographic/work-related questionnaire and the 7-item Insomnia Severity Index (ISI). Descriptive statistics, t-tests/ANOVA, and multiple linear regression were used (α=0.05). An online link was sent to the nurses, directing them to a Google Forms survey. The form included an informed consent section, a brief explanation of the study, and a statement emphasizing the anonymity of their responses.

resultsClinically significant insomnia (ISI≥15) affected 24.0% of nurses, while 33.6% had subthreshold insomnia. Mean ISI was 9.46±6.30 (subthreshold range). In adjusted models (R²=0.253; adjusted R²=0.152), two independent predictors remained significant: nationality (non-Omani lower vs Omani; B=-2.7, p=0.028) and presence of medical illness (B=4.32, p<0.001). Night shifts were highly prevalent (84.1%) but not independently associated with ISI. The most severe ISI item was dissatisfaction with recent sleep.

conclusionsInsomnia burden among nurses is substantial. Addressing co-morbid medical conditions and culturally informed stressors among Omani nurses should be prioritized. Multimodal programs (sleep hygiene, Cognitive Behavioral Therapy for Insomnia (CBT-I), fatigue management, optimized scheduling) are recommended.

Indexed as

fatigue managementinsomniainsomnia severity index (isi)nursesomanshift worksleep health

Identifiers

PMID41523377
PMCPMC12781136

What OpenQuestion holds

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LicenceCC BY
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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.