Evidence map›Paper›PMID 35731968›Full record

Observational studyJournal of medical Internet research2022

Studying the Effect of Long COVID-19 Infection on Sleep Quality Using Wearable Health Devices: Observational Study.

Mario Mekhael, Chan Ho Lim, Abdel Hadi El Hajjar, Charbel Noujaim, Christopher Pottle, Noor Makan, Lilas Dagher, Yichi Zhang, Nour Chouman, Dan L Li and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. [S1 guideline long/post-COVID syndrome].Urologie (Heidelberg, Germany) · 2024
    Article
  14. Observational
  15. Review
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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

12 authors at 2 institutions in 1 country.

Mario MekhaelTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0001-8809-5419
Chan Ho LimTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0001-9998-5601
Abdel Hadi El HajjarTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0003-4820-8102
Charbel NoujaimTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0002-3179-4398
Christopher PottleTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0002-9633-8692
Noor MakanTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0003-0632-2839
Lilas DagherDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, United States.ORCID 0000-0003-0660-318X
Yichi ZhangTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0002-1780-7156
Nour ChoumanTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0002-6624-1590
Dan L LiTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0003-3280-0988
Tarek AyoubTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0003-2128-1051
Nassir MarroucheTulane University School of Medicine, New Orleans, LA, United States.ORCID 0000-0003-0454-0541
Tulane University · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with COVID-19 have increased sleep disturbances and decreased sleep quality during and after the infection. The current published literature focuses mainly on qualitative analyses based on surveys and subjective measurements rather than quantitative data.

objectiveIn this paper, we assessed the long-term effects of COVID-19 through sleep patterns from continuous signals collected via wearable wristbands.

methodsPatients with a history of COVID-19 were compared to a control arm of individuals who never had COVID-19. Baseline demographics were collected for each subject. Linear correlations among the mean duration of each sleep phase and the mean daily biometrics were performed. The average duration for each subject's total sleep time and sleep phases per night was calculated and compared between the 2 groups.

resultsThis study includes 122 patients with COVID-19 and 588 controls (N=710). Total sleep time was positively correlated with respiratory rate (RR) and oxygen saturation (SpO

conclusionsRegardless of the demographic background and symptom levels, patients with a history of COVID-19 infection demonstrated altered sleep architecture when compared to matched controls. The sleep of patients with COVID-19 was characterized by decreased total sleep and deep sleep.

Indexed as

COVID-19Wearable Electronic DevicesHumansPolysomnographyPost-Acute COVID-19 SyndromeSleepSleep QualitybiometricCOVID-19demographicdigital healthhealth datahealth monitoringlong COVID-19patient datasleepsleep architecturewearable devicewearables

Identifiers

PMID35731968
PMCPMC9258734
OpenAlexW4283278565

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.