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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Mar 21, 2023
Date Accepted: Nov 29, 2023

The final, peer-reviewed published version of this preprint can be found here:

Profiles of Cough and Associated Risk Factors in Nonhospitalized Individuals With SARS-CoV-2 Omicron Variant Infection: Cross-Sectional Online Survey in China

Xu T, Chen Y, Zhan W, Chung KF, Qiu Z, Huang K, Chen R, Xie J, Wang G, Zhang M, Wang X, Yao H, Liao X, Zhang Y, Zhang G, Zhang W, Sun D, Zhu J, Jiang S, Feng J, Zhao J, Sun G, Huang H, Zhang J, Wang L, Wu F, Li S, Xu P, Chi C, Chen P, Jiang M, He W, Huang L, Luo W, Li S, Zhong N, Lai K

Profiles of Cough and Associated Risk Factors in Nonhospitalized Individuals With SARS-CoV-2 Omicron Variant Infection: Cross-Sectional Online Survey in China

JMIR Public Health Surveill 2024;10:e47453

DOI: 10.2196/47453

PMID: 38315527

PMCID: 10877488

Profiles of cough and associated risk factors in non-hospitalized individuals with SARS-CoV-2 Omicron variant infection: A cross-sectional online survey in China

  • Tingting Xu; 
  • Yuehan Chen; 
  • Wenzhi Zhan; 
  • Kian Fan Chung; 
  • Zhongmin Qiu; 
  • Kewu Huang; 
  • Ruchong Chen; 
  • Jiaxing Xie; 
  • Gang Wang; 
  • Min Zhang; 
  • Xuefen Wang; 
  • Hongmei Yao; 
  • Xiuqing Liao; 
  • Yunhui Zhang; 
  • Guojun Zhang; 
  • Wei Zhang; 
  • Dejun Sun; 
  • Jia Zhu; 
  • Shujuan Jiang; 
  • Juntao Feng; 
  • Jianping Zhao; 
  • Gengyun Sun; 
  • Huaqiong Huang; 
  • Jianyong Zhang; 
  • Lingwei Wang; 
  • Feng Wu; 
  • Suyun Li; 
  • Pusheng Xu; 
  • Chunhua Chi; 
  • Ping Chen; 
  • Mei Jiang; 
  • Wen He; 
  • Lianron Huang; 
  • Wei Luo; 
  • Shiyue Li; 
  • Nanshan Zhong; 
  • Kefang Lai

ABSTRACT

Background:

Few studies have described the cough profile of COVID-19

Objective:

We investigated the prevalence, severity and associated risk factors of cough in individuals during the latest wave of Omicron in China.

Methods:

In this nationwide cross-sectional study, we collected characteristics of cough from individuals with Omicron variant infection using an online questionnaire between 31/12/2022 and 11/01/2023.

Results:

There were 11718 (68.1% female) non-hospitalized responders, who were 37 (IQR: 30-47) years old, at 16 (IQR: 12-20) days from infection onset to time of survey. Cough was the most common symptom (91.7%), followed by fever, fatigue and nasal congestion (68.8-87.4%). Cough visual analogue scale (VAS) was 70 (IQR: 50-80) mm. Being female (OR:1.31, 95%CI:1.20-1.43), having vaccination history (OR:1.71, 95%CI:1.37-2.12), current smoking (OR:0.48, 95%CI:0.41-0.58), chronic cough (OR:2.04, 95%CI:1.69-2.45), coronary heart disease (OR1.71, 95%CI:1.17-2.52), asthma (OR:1.22, 95%CI:1.02-1.46), hypertension and gastroesophageal reflux disease (GERD) were independent factors for severe cough (VAS>70, 37.4%). There were 35.0% individuals with productive cough, the risk factors included being female (OR:1.44, 95%CI:1.31-1.57), having asthma (OR:1.84, 95%CI:1.52-2.22), chronic cough (OR:1.44, 95%CI:1.19-1.74) and GERD (OR:1.22, 95%CI:1.01-1.47). Persistent cough (>3 weeks) occurred in 13.0% among individuals with duration more than 3 weeks, having had diabetes (OR: 2.24, 95%CI: 1.30-3.85), asthma (OR: 1.70, 95%CI: 1.11-2.62), and chronic cough (OR: 1.97, 95%CI: 1.32-2.94) were risk factors.

Conclusions:

Cough is the most common symptom in non-hospitalized individuals with Omicron infection. Being female, having asthma, chronic cough, GERD, coronary heart disease, diabetes and vaccination history are independent factors associated with severe cough, productive cough and persistent cough.


 Citation

Please cite as:

Xu T, Chen Y, Zhan W, Chung KF, Qiu Z, Huang K, Chen R, Xie J, Wang G, Zhang M, Wang X, Yao H, Liao X, Zhang Y, Zhang G, Zhang W, Sun D, Zhu J, Jiang S, Feng J, Zhao J, Sun G, Huang H, Zhang J, Wang L, Wu F, Li S, Xu P, Chi C, Chen P, Jiang M, He W, Huang L, Luo W, Li S, Zhong N, Lai K

Profiles of Cough and Associated Risk Factors in Nonhospitalized Individuals With SARS-CoV-2 Omicron Variant Infection: Cross-Sectional Online Survey in China

JMIR Public Health Surveill 2024;10:e47453

DOI: 10.2196/47453

PMID: 38315527

PMCID: 10877488

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