Yale study finds mental disorders is predictable

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Mental disorders like depression and anxiety present with a wide range of symptoms, and individuals diagnosed with the same disorder may exhibit different combinations of these symptoms.

This variability has sparked debate among experts, with concerns that the criteria for diagnosing mental disorders might be too broad.

However, a new study from Yale University provides some clarity on this issue, suggesting that while there are numerous possible symptom combinations, most of these combinations are rarely seen in real-world settings.

The study, published on August 7 in JAMA Psychiatry, indicates that broad diagnostic criteria may not be as problematic in practice as some have feared. However, the researchers also caution that symptom combinations should be carefully considered when conducting mental health research.

The current method of defining and diagnosing mental disorders stems from the third edition of the “Diagnostic and Statistical Manual of Mental Disorders (DSM),” introduced in 1980. The DSM, now in its fifth edition, is widely used to classify and diagnose mental disorders.

The DSM’s approach aimed to increase the reliability of diagnoses. As Tobias Spiller, co-lead author of the study and a postdoctoral fellow at Yale School of Medicine, explains, the goal was to ensure that two patients with the same symptoms would receive the same diagnosis, regardless of which doctor they saw.

This led to a system where multiple symptoms were linked to each disorder, with patients needing to exhibit a certain number of these symptoms to meet the criteria for a diagnosis.

While this approach improved diagnostic consistency, it also meant that individuals with very different symptoms could receive the same diagnosis.

Spiller and his colleagues wanted to investigate whether there were patterns in how symptoms clustered together across various mental disorders.

Or Duek, the study’s co-lead author and an assistant professor of psychiatry at Yale, explained that one theory in mental health suggests that disorders are not random; rather, certain symptoms are more likely to occur together, creating common patterns.

To test this, the researchers first simulated a fictitious mental disorder defined by five symptoms, with at least two required for a diagnosis. They then analyzed the symptom combinations of 500 simulated patients, repeating the process multiple times.

The results showed that while there were 32 possible symptom combinations, only a few were common, with most combinations being rare.

This pattern was also observed in real-world data for conditions like post-traumatic stress disorder (PTSD), major depressive disorder, schizophrenia, and generalized anxiety disorder.

For example, in the PTSD dataset, nearly all possible symptom combinations (99.8%) occurred in less than 1% of individuals, while the most common 1% of combinations were found in 46.2% of individuals.

Spiller noted that while the DSM has been criticized for allowing too much variability in symptom combinations, the study shows that this variability is not as problematic as it might seem.

Most patients present with a small number of common symptom patterns, which means the DSM’s broad criteria are functioning effectively in practice.

However, the researchers highlighted that these findings have important implications for mental health research. Duek emphasized the need for caution when generalizing findings from specific studies, particularly those conducted in specialized clinics that may attract patients with atypical symptom combinations.

This could explain why some research findings fail to replicate in subsequent studies, a known issue in psychological research.

Overall, the study suggests that while there is a wide range of possible symptom combinations for mental disorders, these combinations follow a predictable pattern. This understanding can help clinicians and researchers alike navigate the complexities of mental health diagnoses more effectively.

“This study offers a structured way to understand the assumptions and challenges clinicians face daily,” said Spiller. While the variability in symptoms might seem abstract, this research provides a formal framework for understanding the patterns that clinicians have observed through experience.

If you care about health, please read studies that scientists find a core feature of depression and this metal in the brain strongly linked to depression.

For more information about health, please see recent studies about drug for mental health that may harm the brain, and results showing this therapy more effective than ketamine in treating severe depression.

The research findings can be found in JAMA Psychiatry.

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