COVID-19 and mental health in a community sample in China

The current study aims to investigate mental health among Chinese people in the time of the COVID-19 pandemic. Statistics provided by National Health Commission of China, regarding cases and deaths per region, were used to categorise Wuhan, Hubei outside Wuhan, and elsewhere in China into high, moderate, and low infection severity areas. A sample of 1,202 Chinese participants were surveyed between April and June, 2020. The sample consisted of 763 females (63.5%) and 439 males (36.5%), with an average age of 29.62 years (SD = 12.72, range = 18-78). There were 282, 162 and 758 participants from the high (23.5%), moderate (13.4%) and low (63.1%) infection severity areas, respectively.

The full methodology will be made available in the publication from the Related Publications link below.

    Data Record Details
    Data record related to this publication COVID-19 and mental health in a community sample in China
    Data Publication title COVID-19 and mental health in a community sample in China
  • Description

    The current study aims to investigate mental health among Chinese people in the time of the COVID-19 pandemic. Statistics provided by National Health Commission of China, regarding cases and deaths per region, were used to categorise Wuhan, Hubei outside Wuhan, and elsewhere in China into high, moderate, and low infection severity areas. A sample of 1,202 Chinese participants were surveyed between April and June, 2020. The sample consisted of 763 females (63.5%) and 439 males (36.5%), with an average age of 29.62 years (SD = 12.72, range = 18-78). There were 282, 162 and 758 participants from the high (23.5%), moderate (13.4%) and low (63.1%) infection severity areas, respectively.

    The full methodology will be made available in the publication from the Related Publications link below.

  • Other Descriptors
    • Descriptor

      This dataset consists of results saved in both SPSS (.sav) and CSV formats (available via negotiated access only) and a codebook in MS Excel (.xlsx) format.

    • Descriptor type Note
  • Data type dataset
  • Keywords
    • COVID-19
    • mental health
    • culture
    • infection severity
  • Funding source
  • Research grant(s)/Scheme name(s)
    • -
  • Research themes
    Tropical Health, Medicine and Biosecurity
    FoR Codes (*)
    • 170106 - Health, Clinical and Counselling Psychology
    SEO Codes
    • 920410 - Mental Health
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date
  • End Date
  • Time Period
    Spatial (location) coverage
  • Locations
    • China
    Data Locations

    Type Location Notes
    Physical Location Research Data JCU, secure CloudStor
    Attachment WH FS Coding Book 2020 06 24 NO HEALTH Qs.xlsx Code book (MS Excel format)
    The Data Manager is: Wendy Li
    College or Centre
    Access conditions Conditional
  • Alternative access conditions
  • Data record size Quantitative
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    • Notes
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  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
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  • Related services
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    Select or add a licence for the data
  • Other Licence
  • Statement of rights in data Once access to the data has been obtained via negotiation with the data manager, use of the dataset is governed by the CC-BY-NC licence.
  • Data owners
      James Cook University
    Citation Li, Wendy (2020): COVID-19 and mental health in a community sample in China. James Cook University. https://doi.org/10.25903/68cf-zp16