Evidence map›Paper›PMID 40711062›Full record

ArticleTropical medicine and infectious disease2025

The Factors Influencing the Incidence, Persistence, and Severity of Symptoms After SARS-CoV-2 Infection in Chinese Adults: A Case-Control Study.

Weixiao Wang, Runjie Qi, Siyue Jia, Zhihang Peng, Hongxing Pan, Ming Xu, Yuanbao Liu, Xiaoqiang Liu, Qing Wang, Li Zhang and 5 more

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2025. 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. 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

15 authors.

Weixiao WangNational Vaccine Innovation Platform and Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 210009, China.
Runjie QiNational Vaccine Innovation Platform and Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 210009, China.
Siyue JiaNHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Rd., Nanjing 210009, China.
Zhihang PengChina Center for Disease Control and Prevention, Beijing 102206, China.ORCID 0000-0003-4372-2487
Hongxing PanNHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Rd., Nanjing 210009, China.
Ming XuNHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Rd., Nanjing 210009, China.ORCID 0000-0001-8846-2880
Yuanbao LiuNHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Rd., Nanjing 210009, China.
Xiaoqiang LiuYunnan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
Qing WangChongqing Provincial Center for Disease Control and Prevention, Chongqing 402100, China.
Li ZhangShandong Provincial Center for Disease Control and Prevention, Jinan 250014, China.
Jihai TangAnhui Provincial Center for Disease Control and Prevention, Hefei 230601, China.ORCID 0000-0002-9776-6699
Hao YangHunan Provincial Center for Disease Control and Prevention, Changsha 410153, China.
Pengfei JinNHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Rd., Nanjing 210009, China.
Simin LiSchool of Public Health, Southeast University, Nanjing 210009, China.
Jingxin LiNational Vaccine Innovation Platform and Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 210009, China.ORCID 0000-0002-7033-5151

Funding

National Natural Science Foundation of China 82173584National Natural Science Foundation of China 82222062National Natural Science Foundation of China 82341031Science Fund for Distinguished Young Scholars of Jiangsu Province BK20220064
6 · The paper itself

Abstract

Following the emergence of COVID-19, breakthrough SARS-CoV-2 infections have demonstrated substantial heterogeneity in both occurrence and clinical severity. This case-control study aimed to elucidate the factors associated with the incidence, duration, and severity of SARS-CoV-2 symptoms among Chinese adults during the Omicron wave. The analysis was based on data from a national COVID-19 surveillance program encompassing six provinces-Jiangsu, Chongqing, Shandong, Hunan, Anhui, and Yunnan-and included both laboratory-confirmed and clinically diagnosed cases. Data were systematically collected between February and April 2023. For each confirmed case, a matched control was selected through simple random sampling, matched on sex, age (±5 years), and province of residence. Multivariate logistic regression analyses were employed to assess a range of potential determinants, including demographic characteristics, lifestyle behaviors, and pre-existing medical conditions, in relation to the risk of infection, as well as the persistence and severity of symptoms following SARS-CoV-2 breakthrough infection. A total of 10,426 cases and 10,426 matched controls were included in the final analysis. Among the infected individuals, 963 (9.24%) reported persistent symptoms, while 773 (7.41%) experienced moderate-to-severe clinical manifestations. Occasional alcohol consumption, presence of comorbidities, tea and coffee intake, overweight status, and a longer interval since the last vaccination dose were all significantly associated with increased odds of infection (OR > 1, FDR < 0.05). Conversely, weekly alcohol consumption and smoking were associated with a decreased risk (OR < 1, FDR < 0.05). Female sex was significantly associated with both persistent and moderate-to-severe symptoms. Additional risk factors for prolonged or severe symptoms included older age, being underweight or overweight, a history of immunotherapy, coffee consumption, and the presence of comorbidities. These findings underscore the multifactorial nature of SARS-CoV-2 infection outcomes and highlight the interplay between host characteristics and behavioral factors. The results support the development of personalized prevention strategies aimed at reducing the clinical burden and long-term impact of COVID-19.

Indexed as

COVID-19influence factorspersistent symptomsseverity symptoms

Identifiers

PMID40711062
PMCPMC12297951

What OpenQuestion holds

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LicenceCC BY
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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.