Optimism Bias and Its Effects on Behavior During the COVID-19 Pandemic in China

Introduction

The COVID-19 pandemic necessitated individuals to limit social interactions, maintain physical distance, and wear masks to prevent the virus's spread. Health theories propose that individuals must perceive a certain level of health risk before adopting behavioral changes. However, people's inherent optimism bias can influence their interpretation of risk information. This study investigates the factors and consequences of optimism bias during two critical periods of the COVID-19 outbreak in China.

Optimism Bias in Pandemic Events

Optimism bias, also known as optimistic bias or unrealistic optimism, is the tendency for individuals to believe they will experience more positive outcomes and fewer setbacks than an objective benchmark would suggest. The COVID-19 pandemic provided a unique research setting to study the dynamics of optimism bias due to its alarming transmission rate and severity.

Study Design and Methods

The study was conducted in two phases: the initial outbreak in February 2020 and the Omicron outbreak in December 2022. Study 1 examined the relationship between media-reported information and optimism bias during the initial outbreak. Study 2 explored the impact of infections among social connections and the perceived severity of COVID-19 consequences on optimism bias during the Omicron outbreak.

Findings from Study 1

During the initial outbreak, participants exhibited a strong optimism bias, believing they were less likely to be infected than others. The number of newly confirmed and suspected cases positively influenced optimism bias. Media reports of new cases were a significant concern, but the message about infection risks did not lessen the optimism bias.

Findings from Study 2

During the Omicron outbreak, optimism bias persisted but was diminished. The number of infections among participants' social relations negatively predicted optimism bias, while the perceived severity of COVID-19 consequences positively predicted it. Optimism bias served as a mediator between the judgment of severity and behavioral change and as a moderator to reduce the impact of perceived severity on COVID-19 anxiety.

Sources of Information and Optimism Bias

The study found that media reports of new confirmed and suspected cases positively predicted optimism bias during the initial outbreak. In contrast, the number of infections among social relations negatively predicted optimism bias during the Omicron outbreak. The proximity of threats may influence optimism bias, with more proximal threats potentially reducing bias.

Optimism Bias and Judged Severity of Consequences

The perceived severity of COVID-19 consequences positively predicted optimism bias toward COVID-19. This finding supports a defensive processing interpretation of optimism bias. Optimism bias served as a protective factor, weakening the impact of perceived severity on COVID-19 anxiety and positively influencing behavioral change.

Direct and Indirect Measures of Optimism Bias

The study used both direct and indirect methods to assess optimism bias. Direct comparisons, where participants explicitly rate their risk relative to others, can be influenced by egocentrism and focalism. Indirect comparisons require separate risk judgments for the self and others, potentially mitigating egocentrism. The findings highlight the importance of considering how optimism bias is operationalized, as explicit and implicit measures may capture different aspects of biased risk perception.

Practical Implications

The study's findings offer practical solutions for healthcare professionals. Optimism bias can motivate individuals to adopt preventive behaviors and serve as a protective factor for mental health during public health emergencies. Governments can reinforce social norms of protective behavior and emphasize the benefits of protection not only for oneself but also for others.

Limitations and Future Studies

The study has several limitations, including the lack of longitudinal data and the specific cultural context in which it was conducted. Future research should adopt a longitudinal approach and explore the dynamics of optimism bias in different cultural contexts to determine the generalizability of the findings.

Conclusion

The study sheds light on the topic of optimism bias during the COVID-19 pandemic. Optimism bias was prevalent during both the initial and Omicron outbreaks but waned as the pandemic progressed. The study highlights the significance of optimism bias in understanding and managing the impact of COVID-19.