Evidence map›Paper›PMID 38881751›Full record

ArticleJournal of multidisciplinary healthcare2024

The Effect of Shift Work on Sleep Patterns of Paramedics in Saudi Arabia.

Abdullah Alruwaili, Ahmed Ramdan M Alanazy

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. 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

2 authors.

Abdullah AlruwailiEmergency Medical Services Program, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Al Ahsa, 31982, Saudi Arabia.ORCID 0000-0001-5803-1414
Ahmed Ramdan M AlanazyEmergency Medical Services Program, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Al Ahsa, 31982, Saudi Arabia.ORCID 0000-0002-1311-6454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Shift work poses significant sleep health challenges for paramedics, affecting their ability to respond effectively in emergencies. This study aimed to evaluate the impact of shift work on sleep parameters among paramedics in Saudi Arabia, identifying key factors influencing insomnia. Patients and Methods: A cross-sectional, online survey was conducted, gathering data on sociodemographic characteristics, work-related factors, sleep duration, and insomnia among paramedics in Saudi Arabia. The Athens Insomnia Scale was used to define insomnia. The association between shift work and sleep parameters was examined. Predictors of insomnia were identified through logistic regression models by inspecting the adjusted odds ratio (aOR). Results: 1076 Saudi paramedics were included, most of whom were 26-35 years old, males, married, had a Bachelor's degree, worked in hospital-based settings for private agencies in rural areas, and had 6-10 years of experience. Occupational stress was reported by 52.96% of paramedics. All shift work characteristics (working hours, number of shifts, work schedule, and off-work days) were significantly associated with insomnia (p=0.0001). The multivariate regression revealed that work setting (aOR=18.71, p=0.02), coffee consumption (aOR=36.83, p=0.01), work schedule (aOR=21.93, p=0.01), and time to bed (aOR=0.01, p=0.01), sleep duration (aOR=0.03, p=0.03), and occupation stress (aOR=9.31, p=0.001) were predictors for insomnia. Conclusion: Our findings underscores the need for targeted interventions to mitigate the adverse effects of shift work on sleep health among paramedics.

Indexed as

insomniaparamedicinepredictorssleep duration

Identifiers

PMID38881751
PMCPMC11180460

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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.