Evidence map›Paper›PMID 39266971›Full record

ArticleBMC infectious diseases2024

Prevalence and factors influencing long COVID among primary healthcare workers after epidemic control policy adjustment in Jiangsu, China.

Hualing Chen, Yongkang Qian, Beier Lu, Rongji Ma, Pengcheng Miao, Mingwang Fu, Haijian Guo, Ya Shen, Zhengkai Shen, Yan Li and 4 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The Impact of Post-COVID-19 Condition on Frontline Healthcare Workers: A Scoping Review.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Review
  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

14 authors.

Hualing Chen *Department of Biostatistics, School of Public health, Southeast University, Nanjing, China.
Yongkang Qian *Department of Biostatistics, School of Public health, Southeast University, Nanjing, China.
Beier LuDepartment of Biostatistics, School of Public health, Southeast University, Nanjing, China.
Rongji MaDepartment of Biostatistics, School of Public health, Southeast University, Nanjing, China.
Pengcheng MiaoDepartment of Biostatistics, School of Public health, Southeast University, Nanjing, China.
Mingwang FuDepartment of Biostatistics, School of Public health, Southeast University, Nanjing, China.
Haijian GuoJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Ya ShenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Zhengkai ShenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yan LiJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Biyun XuMedical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
Yongjie ZhangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China. 371578804@qq.com.
Jinshui XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China. 353112354@qq.com.
Bingwei ChenDepartment of Biostatistics, School of Public health, Southeast University, Nanjing, China. drchenbw@126.com.

Funding

Health Commission of Nanjing ZKX22019Jiangsu Provincial Primary Health Development and General Practice Medical Education Research Center No. 2022A02
6 · The paper itself

Abstract

objectiveThe persistent symptoms arising from COVID-19 infection pose a substantial threat to patients' health, carrying significant implications. Amidst the evolving COVID-19 control strategies in China, healthcare workers (HCWs) endure considerable stress. This study aims to evaluate the prevalence of long COVID infections and their influencing factors among primary HCWs after epidemic control policy adjustment in Jiangsu.

methodsA self-designed questionnaire was administered through on-site surveys among primary HCWs in five counties and districts within Jiangsu Province from July 4 to July 20, 2023. Logistic regression analysis was employed to identify factors associated with long COVID.

resultsThe prevalence of long COVID among primary HCWs stood at 12.61%, with a 95% confidence interval (CI) of 11.67-13.55%. Among those affected, the most common long COVID symptoms were hypomnesia (4.90%, 95%CI: 4.29-5.51%), sleep difficulties (2.73%, 95%CI: 2.27-3.19%), fatigue (2.35%, 95%CI: 1.92-2.78%), disturbances in the reproductive system (1.93%, 95%CI: 1.54-2.32%), hair loss (1.85%, 95%CI: 1.47-2.23%), and myalgia/arthralgia (1.51%, 95%CI: 1.16-1.86%). Multivariate logistic regression revealed that older age groups (30-45 years (adjusted odds ratio (aOR) = 1.93, 95%CI: 1.44-2.58), 45-60 years (aOR = 2.82, 95%CI: 2.07-3.84)), females (aOR = 1.26, 95%CI: 1.03-1.55), and higher work stress (high stress (aOR = 1.52, 95%CI: 1.24-1.86), extremely high stress (aOR = 1.37, 95%CI: 1.03-1.82)) were more prone to long COVID. Conversely, individuals with educational attainment below the bachelor's degree (aOR = 0.67, 95%CI: 0.55-0.82) and those who received four or more doses of the COVID-19 vaccine (aOR = 0.55, 95%CI: 0.33-0.92) were at a reduced risk.

conclusionThis study investigates the prevalence of long COVID among primary HCWs and identifies key influencing factors. These findings are crucial for assisting in the early identification of COVID-19 patients at risk for long-term complications, developing targeted interventions aimed at optimizing healthcare resource allocation and enhancing the work conditions and quality of life of HCWs. To mitigate the prevalence of long COVID, healthcare providers and local authorities should implement effective measures, such as optimizing work-rest schedules and actively advocating for vaccination.

Indexed as

COVID-19Health PersonnelSARS-CoV-2AdultChinaFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesYoung AdultChinaHealthcare workersInfluencing factorsLong COVIDPrevalence

Identifiers

PMID39266971
PMCPMC11396294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.