Literature Collection
11K+
References
9K+
Articles
1500+
Grey Literature
4600+
Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).
Depression and anxiety disorders are the most prevalent mental disorders in the world. The transdiagnostic approach to the study of these emotional disorders suggests that certain diagnostic categories, such as depression or anxiety disorders, share common underlying factors. This paper evaluated several models of common maladaptive cognitive factors in depressive and anxiety disorders (Study 1) and the predictive validity of these models (Study 2). In Study 1, 1703 primary care patients with suspected emotional disorder completed brief scales to assess the following cognitive factors: worry, rumination, attention to threat, and metacognitions. We found that the model with the best fit was the bifactor model, estimated through an exploratory structural equation model (ESEM). This bifactor model suggests that individual cognitive factors can be explained by a general factor plus four independent factors, evidencing the existence of a transdiagnostic cognitive factor (TD-C factor). In Study 2, a subgroup of 178 participants (from Study 1) were clinically diagnosed by semi-structured clinical interviews with major depressive disorder, generalized anxiety disorder, and/or panic disorder. The predictive validity of TD-C factor was acceptable (AUC > 0.80), but specific factors were not predictive (AUC < 0.70), indicating that TD-C factor was a significant predictor for each diagnosis. This study supports the claim that there is a transdiagnostic cognitive factor that can predict the diagnosis of various depressive and anxiety disorders, thus potentially representing a useful transdiagnostic assessment.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
Grey literature is comprised of materials that are not made available through traditional publishing avenues. Examples of grey literature in the Repository of the Academy for the Integration of Mental Health and Primary Care include: reports, dissertations, presentations, newsletters, and websites. This grey literature reference is included in the Repository in keeping with our mission to gather all sources of information on integration. Often the information from unpublished resources is limited and the risk of bias cannot be determined.

This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.



This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.


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