Background
A large number of the population experienced panic during the pandemic of the coronavirus disease 2019 (COVID‐19) in China. The current study explored the trajectory of panic and its associated factors to develop promising strategies for controlling the global spread of COVID‐19 and improving the mental health emergency management.
Methods
A total of 812 unmarried adults (aged from 18 to 42 years, M = 23.3, SD = 3.45) from all over China participated online in our investigation. A Growth Mixture Model (GMM) was developed and analysed.
Results
Three classes of trajectories for panic were identified: the “continuous decline group (CDG)”, the “continuous low group (CLG),” and the “continuous high group (CHG)”. With reference to the CDG, people in the CHG were more sensitive to social factors. With reference to the CDG, people in the CLG were more likely to possess some of the following traits: being men, in Hubei Province (center of the pandemic), with a lower income, and less sensitive towards social factors and individual factors. With reference to the CLG, people in the CHG were more likely to be women, located outside of Hubei Province, and more sensitive to social factors, family factors, and individual factors.
Conclusion
Social factors, family factors, and individual factors predicted the different trajectories of panic.