Can Cognitive Biases Predict Anxiety and Depression?

Mental health disorders such as anxiety and depression are leading causes of disability worldwide. While effective treatments exist, early detection and prevention remain crucial goals in clinical psychology and psychiatry. A promising research area focuses on identifying psychological mechanisms that may precede and contribute to these disorders. A recent study by Vos et al. (2025) explores whether cognitive biases can reliably predict the future development of anxiety and depression.

What Are Cognitive Biases?

Cognitive biases are systematic distortions in the way people perceive, interpret, or remember information. Although these biases are common and not inherently harmful, they often take a negative form in individuals vulnerable to mental health conditions. For instance, someone with depression might predominantly recall mostly sad events from their past (memory bias), or interpret an ambiguous comment from a colleague as criticism (interpretation bias).

Researchers have frequently observed these biases in individuals with existing symptoms of anxiety and depression. However, Vos et al. (2025) addressed a critical question: Do these biases appear before the onset of anxiety or depression?

About the Study

This study compiled findings from longitudinal studies that follow people over time to track psychological changes and the development of mental health conditions. This is a powerful design that helps determine whether cognitive biases precede mental illness rather than merely resulting from it.

The study focused on biases in attention, interpretation, and memory. These are three of the most frequently studied forms of cognitive distortion. It examined whether individuals exhibiting these biases at the start of a study were more likely to develop symptoms of anxiety or depression later.

Key Findings

The results revealed a clear pattern: cognitive biases do prospectively predict the worsening of anxiety and depression. While the effect sizes varied, interpretation and memory biases were especially reliable predictors. That is, people who tended to interpret situations negatively or better recall negative memories were more likely to experience symptoms of anxiety or depression later.

Interestingly, attention biases, such as heightened sensitivity to threatening stimuli, were less predictive in this analysis. However, attention bias may still influence symptoms through other cognitive processes, potentially setting the stage for interpretation and memory biases (Everaert et al., 2020).

Why This Study Matters

These findings strongly support theoretical models of depression and anxiety, which suggest that maladaptive thinking patterns play a central role in their development and maintenance. While previous research has linked cognitive biases to mental disorders, this study rigorously demonstrates their predictive power for future symptoms.

Implications:

1. Early Identification. If cognitive biases are detectable before symptoms increase, they could serve as valuable early warning signs. Mental health professionals could use bias assessments to identify individuals at risk and intervene sooner.
2. Preventive Interventions. The study highlights the potential for targeted cognitive training interventions. For example, cognitive bias modification (CBM) techniques aim to retrain negative thought patterns through digital exercises. If applied early, these interventions could reduce the risk of developing anxiety or depression.
3. Improved Theoretical Models. The findings support cognitive-behavioral theories, which emphasize the role of thinking patterns in emotional health. This gives clinicians and researchers further confidence in using cognitive frameworks to guide both diagnosis and treatment.

Conclusion

This study demonstrates that habitual ways of thinking, particularly how we interpret and remember events, can shape our emotional well-being. Negative cognitive biases are not just symptoms of anxiety and depression; they can also be precursors.

As mental health care increasingly focuses on early intervention and prevention, these research findings are important. They suggest that identifying and addressing negative cognitive patterns early could prevent mental illness before it starts.