Risk estimation in relation to anxiety and depression for low probability negative events

Abstract

Foundational cognitive models propose that people with anxiety and depression show risk estimation bias, but most literature does not compute true risk estimation bias by comparing people's subjective risk estimates to their individualized reality (i.e., person-level objective risk). In a diverse community sample (N = 319), we calculated risk estimation bias by comparing people's subjective risk estimates for contracting COVID-19 to their individualized objective risk. Person-level objective risk was consistently low and did not differ across symptom levels, suggesting that for low probability negative events, people with greater symptoms show risk estimation bias that is driven by subjective risk estimates. Greater levels of anxiety, depression, and COVID-specific perseverative cognition separately predicted higher subjective risk estimates. In a model including COVID-specific perseverative cognition alongside anxiety and depression scores, the only significant predictor of subjective risk estimates was COVID-specific perseverative cognition, indicating that symptoms more closely tied to feared outcomes may more strongly influence risk estimation. Finally, subjective risk estimates predicted information-seeking behavior and eating when anxious, but did not significantly predict alcohol or marijuana use, drinking to cope, or information avoidance. Implications for clinical practitioners and future research are discussed.