{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T23:33:47Z","timestamp":1788564827837,"version":"build-2803163510"},"reference-count":58,"publisher":"Royal College of Psychiatrists","issue":"1","license":[{"start":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:00:00Z","timestamp":1758672000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-sa\/4.0\/"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Br J Psychiatry"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec id=\"S0007125025103474_as1\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Decades of research on the dimensional nature of personality disorder have led to the replacement of categorical personality disorder diagnoses by a dimensional assessment of personality disorder severity (PDS) in ICD-11, which essentially corresponds to personality functioning in the alternative DSM-5 model for personality disorders. Besides advancing the focus in the diagnosis of PD on impairments in self- and interpersonal functioning, this shift also urges clinicians and researchers worldwide to get familiar with new diagnostic approaches.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125025103474_as2\">\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study investigated which PDS dimensions among different assessment methods and conceptualisations have the most predictive value for overall PDS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125025103474_as3\">\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>\n                      Using semi-structured interviews and self-reports of personality functioning, personality organisation and personality structure in clinical samples of different settings in Switzerland and Germany (\n                      <jats:italic>n<\/jats:italic>\n                      = 534), we calculated a latent general factor for PDS (g-PDS) by applying a correlated trait correlated (method \u2013 1) model (CTC(M\u20131)).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125025103474_as4\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our results showed that four interview-assessed PDS dimensions: defence mechanisms, desire and capacity for closeness, sense of self, and comprehension and appreciation of others\u2019 experiences and motivations account for 91.1% of variance of g-PDS, with a combination of either two of these four dimensions already explaining between 81.8 and 91.3%. Regarding self-reports, the dimensions depth and duration of connections, self-perception, object perception and attachment capacity to internal objects predicted 61.3% of the variance of a latent interview-based score, with all investigated self-reported dimensions together adding up to 65.2% variance explanation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125025103474_as5\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Taken together, our data suggest that focusing on specific dimensions, such as intimacy and identity, in time-limited settings might be viable in determining PDS efficiently.<\/jats:p>\n                  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