Evidence map›Paper›PMID 38765114›Full record

ArticleHeliyon2024

A propensity score matched analysis of COVID-19 ongoing symptoms in primary medical staff members with different levels of stress in Jiangsu Province, China.

Hualing Chen, Yongjie Zhang, Yongkang Qian, Ya Shen, Haijian Guo, Rongji Ma, Beier Lu, Pengcheng Miao, Biyun Xu, Jinshui Xu and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Hualing ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Yongjie ZhangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yongkang QianDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Ya ShenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Haijian GuoJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Rongji MaDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Beier LuDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Pengcheng MiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Biyun XuMedical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
Jinshui XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Bingwei ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Ongoing symptoms which originated from coronavirus disease 2019 (COVID-19) infections threaten the health of a broad population of patients. With recent changes in COVID-19 control measures in China, medical staff members are currently experiencing a high level of stress. This study aimed to investigate the prevalence of ongoing symptomatic COVID-19 and explore the potential association between stress and ongoing COVID symptoms. Methods: From January 17th to February 2, 2023, primary medical staff members in Jiangsu Province were surveyed using a self-designed questionnaire. Univariate multinomial logistic analysis was used to illustrate the relationship between stress and ongoing symptoms after matching the low- and high-stress groups in a 1:1 ratio based on propensity scores. Results: Analysis revealed that 14.83 % (3785/25,516) of primary medical staff members infected with COVID-19 experienced ongoing symptoms, the most common of which included cough (9.51 %), dyspnea (9.51 %), sleep problems (4.40 %), anxiety (2.29 %), and reproductive system symptoms (1.89 %). In matched patients, higher stress levels were associated with a greater risk of ongoing symptoms than in patients without ongoing symptoms for 14 of the 15 reported symptoms in this study (odds ratios [ORs] > 1 and P < 0.05). Moreover, higher levels of stress were associated with a greater risk of more ongoing symptoms, and the overall ORs increased with the number of symptoms (ORs >1 and P < 0.05). Conclusion: To mitigate the possibility of experiencing ongoing symptoms, healthcare organizations and local authority agencies should institute helpful measures to decrease stress levels such as medical staff augmentation and enabling all staff to have a reasonable work-life balance.

Indexed as

ChinaMedical staffOngoing symptomOngoing symptomatic COVID-19Stress

Identifiers

PMID38765114
PMCPMC11098781

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Registered trials

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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.