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Duration and severity of COVID-19 symptoms among primary healthcare workers: A cross-sectional survey.
Ma, Rongji; Lu, Beier; Zhang, Yongjie; Shen, Ya; Xu, Jinshui; Chen, Hualing; Qian, Yongkang; Miao, Pengcheng; Xu, Biyun; Guo, Haijian; Chen, Bingwei.
Afiliación
  • Ma R; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Lu B; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Zhang Y; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Shen Y; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Xu J; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Chen H; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Qian Y; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Miao P; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
  • Xu B; Medical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
  • Guo H; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Chen B; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
J Adv Nurs ; 2024 May 07.
Article en En | MEDLINE | ID: mdl-38712473
ABSTRACT

AIMS:

This study aims to investigate the epidemiological characteristics of COVID-19 infection among healthcare workers, including the severity, duration of infection, post-infection symptoms and related influencing factors.

METHODS:

A self-administered questionnaire was utilized to assess the post-infection status of primary healthcare workers in Jiangsu Province. The questionnaire collected information on demographic characteristics, lifestyle habits, post-infection clinical manifestations, work environment and recovery time of the respondents. Customized outcome events were selected as dependent variables and logistic regression models were employed to analyse the risk factors. Phi-coefficient was used to describe the relationship between post-infection symptoms.

RESULTS:

The analysis revealed that several factors, such as female, older age, obesity, previous medical history, exposure to high-risk environments and stress, were associated with a higher likelihood of experiencing more severe outcomes. On the other hand, vaccination and regular exercise were found to contribute to an earlier resolution of the infection. Among the post-infection symptoms, cough, malaise and muscle aches were the most frequently reported. Overall, there was a weak association among symptoms persisting beyond 14 days, with only cough and malaise, malaise and dizziness and headache showing a stronger correlation.

CONCLUSION:

The study findings indicate that the overall severity of the first wave of infection, following the complete lifting of restrictions in China, was low. The impact on primary healthcare workers was limited, and the post-infection symptoms exhibited similarity to those observed in other countries. It is important to highlight that these conclusions are specifically relevant to the population infected with the Omicron variant. IMPACTS This study helps to grasp the impacts of the first wave of COVID-19 infections on healthcare workers in China after the national lockdown was lifted. PATIENTS Primary healthcare workers in Jiangsu Province, including doctors, nurses, pharmacists and other personnel from primary healthcare units such as community health service centres and health centres.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Adv Nurs Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Adv Nurs Año: 2024 Tipo del documento: Article País de afiliación: China