{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T01:22:20Z","timestamp":1762046540112,"version":"build-2065373602"},"reference-count":54,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T00:00:00Z","timestamp":1641340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:p><jats:bold>Background:<\/jats:bold> Personality pathology does not have to be a contraindication to a bariatric surgery if a proper pre-surgical assessment is done. Indicating subgroups of patients with their specific needs could help tailor interventions and improve surgical treatment outcomes.<\/jats:p><jats:p><jats:bold>Objectives:<\/jats:bold> Using the Alternative DSM-5 model for personality disorders (AMPD) and the ICD-11 model for PDs to detect subgroups of patients with obesity based on a specific constellation of maladaptive personality traits and the level of overall personality impairment.<\/jats:p><jats:p><jats:bold>Methods:<\/jats:bold> 272 consecutively consented patients who underwent a standard pre-surgical psychological assessment. The majority were women (58.0%), age range was 22\u201379 years (<jats:italic>M<\/jats:italic> = 48.06, <jats:italic>SD<\/jats:italic> = 10.70). Patients\u2019 average body mass index (BMI) was 43.95 kg\/m<jats:sup>2<\/jats:sup>. All participants were administered the Personality Inventory for DSM-5 (PID-5) from which Level of Personality Functioning Scale-Self Report (LPFS-SR) and Standardized Assessment of Severity of Personality Disorder (SASPD) scores were gained using the \u201ccrosswalk\u201d for common metric for self-reported severity of personality disorder. The k-means clustering method was used to define specific subgroups of patients with obesity and replicated for equality testing to the samples of non-clinical respondents and psychiatric patients.<\/jats:p><jats:p><jats:bold>Results:<\/jats:bold> The cluster analysis detected specific groups in the sample of patients with obesity, which differed quantitatively from the samples of non-clinical respondents and psychiatric patients. A vast majority of patients with obesity showed above-average values in most of the PID-5 facets compared to the United States representative general community sample. In two out of the three clusters defined, patients demonstrated moderate (&amp;gt; <jats:italic>M<\/jats:italic> + 1.5 \u00d7 <jats:italic>SD<\/jats:italic>) to severe (&amp;gt; <jats:italic>M<\/jats:italic> + 2.0 \u00d7 <jats:italic>SD<\/jats:italic>) personality psychopathology within the Detachment and Negative Affectivity domains according to PID-5, which in one of the clusters corresponded to the mild overall impairment in both, LPFS-SR (<jats:italic>M<\/jats:italic> = 2.18, <jats:italic>SD<\/jats:italic> = 0.27) and SASPD (<jats:italic>M<\/jats:italic> = 8.44, <jats:italic>SD<\/jats:italic> = 2.38). Moreover, higher levels of psychopathology prove to be associated with higher age and use of psychiatric medication.<\/jats:p><jats:p><jats:bold>Conclusions:<\/jats:bold> The dimensional DSM-5 and ICD-11 trait models are suitable procedures for defining specific \u201ccharacters\u201d of patients in a pre-bariatric setting. As such, they help to identify subgroups of patients with obesity who are different from general population and psychiatric patients. Implications for clinical practice and further research are discussed.<\/jats:p>","DOI":"10.3389\/fpsyg.2021.814421","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T08:35:49Z","timestamp":1641371749000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Implementation of the DSM-5 and ICD-11 Dimensional Models of Maladaptive Personality Traits Into Pre-bariatric Assessment"],"prefix":"10.3389","volume":"12","author":[{"given":"Karel D.","family":"Riegel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Judita","family":"Konecna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Matoulek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Livia","family":"Rosova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2022,1,5]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1002\/jclp.22900","article-title":"How are early maladaptive schemas and DSM-5 personality traits associated with the severity of binge eating?","volume":"76","author":"Aloi","year":"2020","journal-title":"J. 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