Evidence map›Paper›PMID 34917274›Full record

ArticleSleep science (Sao Paulo, Brazil)

Prevalence of sleep disturbance and anxiety due to the COVID-19 pandemic in Saudi Arabia.

Shazia Iqbal, Reem Fahad Alanazi, Ali Hussain Alahmed, Anwar Faleh Alnakhli, Mohammed Hejji Alghanim, Manal Abdullah Ali Alghamdi, Shahzad Ahmad

Open access · diamondAbstract read
In one paragraph

Article in Sleep science (Sao Paulo, Brazil). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

7 authors at 2 institutions in 2 countries.

Shazia IqbalAlfarabi College of Medicine, Medical Education Unit - Riyadh - Alfarabi - Saudi Arabia.
Reem Fahad AlanaziAlfarabi College of Medicine, Medical Education Unit - Riyadh - Alfarabi - Saudi Arabia.
Ali Hussain AlahmedAlfarabi College of Medicine, Medical Education Unit - Riyadh - Alfarabi - Saudi Arabia.
Anwar Faleh AlnakhliAlfarabi College of Medicine, Medical Education Unit - Riyadh - Alfarabi - Saudi Arabia.
Mohammed Hejji AlghanimAlfarabi College of Medicine, Medical Education Unit - Riyadh - Alfarabi - Saudi Arabia.
Manal Abdullah Ali AlghamdiAlfarabi College of Medicine, Medical Education Unit - Riyadh - Alfarabi - Saudi Arabia.
Shahzad AhmadFMH College of Medicine and Dentistry, Dentistry Department - Lahore - Pakistan - Pakistan.
Alfaisal University · SACMH Lahore Medical College and Institute of Dentistry · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn the COVID-19 pandemic, physical and psychological health are of immense concern for the governing bodies and health policymakers in the period of lockdown and self-isolation. An in-depth analysis is required to recognize the changes in mental health among the public of different geographical areas.

objectiveThe study aimed to investigate the sleep quality and anxiety among the population in Saudi Arabia during the lockdown period from March to June 2020. MATERIAL AND

methodsWe conducted a cross-sectional study and surveyed the population in Saudi Arabia during the lockdown. We analyzed the anxiety and sleep quality in a population with variable socio-demographic profiles. We assessed anxiety using the self-rating anxiety scale (SAS) questionnaire and tested the sleep quality by using the Pittsburgh sleep quality index (PSQI) questionnaire. We analysed the questionnaire responses to determine the relationships between anxiety, stress, sleep disturbances by using SPSS, and considered the p-value<0.05 statistically significant.

resultsWe collected 397 questionnaires from the participants. The respondents were mostly of youth age (19-24 years), 66.5% of respondents were male, while there were 33.5% females. Most of the participants did not contact any COVID-19 patients (75.1%, n=298). The finding revealed that most people did not consider associated anxiety as a worrying disorder as the vast majority were normal with only 12.6% had mild-to-moderate anxiety and almost 1% had moderate-to-severe anxiety. While correlating the sleep patterns disturbance in individuals who had contact with COVID-19 patients, there was a significant sleep disturbance. The disturbance of sleep was in having problems falling sleep (p-value=0.024), having bad/horrible dreams (p-value=0.017), feeling cold at sleeping (p-value=0.038), and difficulty staying active during eating or driving (p-value=0.012). There was a significant correlation with anxiety related to the COVID-19 contact and problems affecting the routine work (p-value=0.001).

conclusionThere is a significant correlation with anxiety related to the contact with COVID-19 positive patients and problems affecting the routine work among operational professionals. The sleep quality is poor due to the stay-at-home order, having a disorganized working schedule, and deprived lifestyle. The awareness regarding the publics' mental health related to the pandemic needs to be implemented and psychological guidelines ought to be available for the public. Health measures through the promotion of lifestyle modifications, mindful body practices, meditation, and home exercise can reduce stress and improve the quality of sleep.

Indexed as

Anxiety DisordersCoronavirus InfectionsMental HealthPandemicsPsychological DistressSleep Deprivation

Identifiers

PMID34917274
PMCPMC8663731
OpenAlexW3212699267

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.