TY - JOUR
T1 - Reconstructing Psychopathology
T2 - A Data-Driven Reorganization of the Symptoms in the Diagnostic and Statistical Manual of Mental Disorders
AU - Forbes, Miriam K.
AU - Baillie, Andrew
AU - Batterham, Philip J.
AU - Calear, Alison
AU - Kotov, Roman
AU - Krueger, Robert F.
AU - Markon, Kristian E.
AU - Mewton, Louise
AU - Pellicano, Elizabeth
AU - Roberts, Matthew
AU - Rodriguez-Seijas, Craig
AU - Sunderland, Matthew
AU - Watson, David
AU - Watts, Ashley L.
AU - Wright, Aidan G.C.
AU - Anna Clark, Lee
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - In this study, we reduced the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) to its constituent symptoms and reorganized them based on patterns of covariation in individuals’ (N = 14,762) self-reported experiences of the symptoms to form an empirically derived hierarchical framework of clinical phenomena. Specifically, we used the points of agreement among hierarchical principal components analyses and hierarchical clustering as well as between the randomly split primary (n = 11,762) and hold-out (n = 3,000) samples to identify the robust constructs that emerged to form a hierarchy ranging from symptoms and syndromes up to very broad superspectra of psychopathology. The resulting model had noteworthy convergence with the upper levels of the Hierarchical Taxonomy of Psychopathology (HiTOP) framework and substantially expands on HiTOP’s current coverage of dissociative, elimination, sleep–wake, trauma-related, neurodevelopmental, and neurocognitive disorder symptoms. We also mapped some exemplar DSM-5 disorders onto our hierarchy; some formed coherent syndromes, whereas others were notably heterogeneous.
AB - In this study, we reduced the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) to its constituent symptoms and reorganized them based on patterns of covariation in individuals’ (N = 14,762) self-reported experiences of the symptoms to form an empirically derived hierarchical framework of clinical phenomena. Specifically, we used the points of agreement among hierarchical principal components analyses and hierarchical clustering as well as between the randomly split primary (n = 11,762) and hold-out (n = 3,000) samples to identify the robust constructs that emerged to form a hierarchy ranging from symptoms and syndromes up to very broad superspectra of psychopathology. The resulting model had noteworthy convergence with the upper levels of the Hierarchical Taxonomy of Psychopathology (HiTOP) framework and substantially expands on HiTOP’s current coverage of dissociative, elimination, sleep–wake, trauma-related, neurodevelopmental, and neurocognitive disorder symptoms. We also mapped some exemplar DSM-5 disorders onto our hierarchy; some formed coherent syndromes, whereas others were notably heterogeneous.
KW - DSM
KW - HiTOP
KW - classification
KW - diagnosis
KW - psychopathology
UR - http://www.scopus.com/inward/record.url?scp=85207224011&partnerID=8YFLogxK
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U2 - 10.1177/21677026241268345
DO - 10.1177/21677026241268345
M3 - Article
AN - SCOPUS:85207224011
SN - 2167-7026
JO - Clinical Psychological Science
JF - Clinical Psychological Science
ER -