Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study

OBJECTIVES: To assess the psychometric properties of the Coronavirus Information Overload scale (CovIO) and explore relationships between CovIO, its predictors and several health behaviours related to the COVID-19 pandemic, using Cancer Information Overload (CIO) scale results as a reference for comparison. METHODS: 2003 participants representative of the French adult population answered a self-administered questionnaire over two waves of polling (N(1(June 2020))= 1003, N(2(January 2021))= 1000). Respondents were randomized to fill CovIO or CIO scale. Psychometric properties of scales were evaluated with Confirmatory Factor Analysis (CFA). Predictors were assessed using multivariate linear regression. RESULTS: CovIO scale showed satisfactory psychometric properties ([Formula: see text] =0.86, [Formula: see text] =0.86, RMSEA=0.050) without any measurement invariance issue. CovIO increased between waves of sampling and was significantly linked to education, health literacy and trust in institutions among other variables. A negative relationship between information overload and preventive behaviours was also observed. CONCLUSION: The CovIO scale is a valid tool for assessing COVID-19 information overload. The dynamical formation of information overload and links with theorised predictors, especially, health literacy are confirmed. PRACTICE IMPLICATIONS: Longitudinal designs could help better understand the potential detrimental effect of information overload and improving public health campaigns. Interventions to reduce the degree of overload are needed.