Evidence map›Paper›PMID 39671588›Full record

ArticleJMIR public health and surveillance2024

Investigating the Associations Between COVID-19, Long COVID, and Sleep Disturbances: Cross-Sectional Study.

Heng Shao, Hui Chen, Kewang Xu, Quan Gan, Meiling Chen, Yanyu Zhao, Shun Yu, Yutong Kelly Li, Lihua Chen, Bibo Cai

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Heng Shao *Department of Geriatrics, The First People's Hospital of Yunnan Province, Kunming, China.ORCID 0000-0003-4923-4628
Hui Chen *The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID 0009-0006-2172-8107
Kewang Xu *Medical College, Kunming University of Science and Technology, Kunming, China.ORCID 0009-0008-5023-0177
Quan GanFaculté de Médecine, Université Paris Saclay, Paris, France.ORCID 0000-0001-7869-1348
Meiling ChenThe Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID 0000-0003-1600-3428
Yanyu ZhaoRehabilitation Department of Chinese Medicine, Chengjiang People's Hospital, Yuxi, China.ORCID 0009-0002-4564-3811
Shun YuSchool of Mathematics and Statistics, Yunnan University, Kunming, China.ORCID 0009-0007-1814-4319
Yutong Kelly LiDepartment of Biochemistry and Psychology, Mount Holyoke College, South Hadley, MA, United States.ORCID 0009-0002-9341-5493
Lihua Chen *Epidemic Surveillance and Public Health Emergency Response Center, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan, China.ORCID 0000-0002-3957-5499
Bibo Cai *The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.ORCID 0009-0008-1817-4072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 has not only resulted in acute health issues but also led to persistent symptoms known as long COVID, which have been linked to disruptions in sleep quality. Objective: This study aims to investigate the associations between COVID-19, long COVID, and sleep disturbances, focusing on demographic, socioeconomic, and psychological factors among a Chinese population. Methods: This cross-sectional study included 1062 participants from China. Demographic, socioeconomic, and clinical data were collected through web-based questionnaires. Participants were divided into 2 groups based on COVID-19 infection status: infected and noninfected. Within the infected group, participants were further categorized into those with long COVID and those without long COVID. Noninfected participants were included in the non-long COVID group for comparison. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while depression and anxiety were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) scales, respectively. Multivariable linear regression was conducted to examine the associations between COVID-19, long COVID, and sleep quality, adjusting for demographic and psychosocial factors. Results: COVID-19 infection was confirmed in 857 participants, with 273 of them developing long COVID. No significant sex disparities were observed in infection rates (P=.63). However, a marginal statistical difference was noted in the prevalence of long COVID among females (P=.051). Age was significantly associated with both infection rates (P<.001) and long COVID (P=.001). Participants aged 60-70 years were particularly vulnerable to both outcomes. Sleep latency was significantly longer in the infected group (mean 1.73, SD 0.83) compared to the uninfected group (mean 1.57, SD 0.78; P=.01), and PSQI scores were higher (mean 8.52, SD 4.10 vs. 7.76, SD 4.31; P=.02). Long COVID participants had significantly worse sleep outcomes across all metrics (P<.001), except for sleep medication use (P=.17). Conclusions: Our findings indicate that long COVID is strongly associated with significant sleep disturbances, while initial COVID-19 infection shows a more moderate association with sleep issues. Long COVID-related sleep disturbances were exacerbated by factors such as age, income, and chronic health conditions. The study highlights the need for targeted interventions that address the multifaceted impacts of long COVID on sleep, especially among vulnerable groups such as older adults and those with lower socioeconomic status. Future research should use longitudinal designs to better establish the temporal relationships and causal pathways between COVID-19 and sleep disturbances.

Indexed as

COVID-19Sleep Wake DisordersAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSleep QualitySurveys and QuestionnairesCOVID-19cross-sectional studylong COVIDpsychological outcomessleep disturbancessocioeconomic factors

Identifiers

PMID39671588
PMCPMC11661692

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.