Implementation of the DSM-5 and ICD-11 Dimensional Models of Maladaptive Personality Traits Into Pre-bariatric Assessment
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
35082734
PubMed Central
PMC8785802
DOI
10.3389/fpsyg.2021.814421
Knihovny.cz E-zdroje
- Klíčová slova
- AMPD, ICD-11, PID-5, bariatric surgery, cluster analysis, obesity, personality trait,
- Publikační typ
- časopisecké články MeSH
Background: 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. Objectives: 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. Methods: 272 consecutively consented patients who underwent a standard pre-surgical psychological assessment. The majority were women (58.0%), age range was 22-79 years (M = 48.06, SD = 10.70). Patients' average body mass index (BMI) was 43.95 kg/m2. 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 "crosswalk" 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. Results: 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 (> M + 1.5 × SD) to severe (> M + 2.0 × SD) 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 (M = 2.18, SD = 0.27) and SASPD (M = 8.44, SD = 2.38). Moreover, higher levels of psychopathology prove to be associated with higher age and use of psychiatric medication. Conclusions: The dimensional DSM-5 and ICD-11 trait models are suitable procedures for defining specific "characters" 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.
Zobrazit více v PubMed
Aloi M., Rania M., Caroleo M., Carbone E. A., Fazia G., Calabrò G., et al. (2020). How are early maladaptive schemas and DSM-5 personality traits associated with the severity of binge eating? J. Clin. Psychol. 76 539–548. 10.1002/jclp.22900 PubMed DOI
American Psychiatric Association [APA] (2013). Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. Arlington: American Psychiatric Association.
Anderson J. L., Sellbom M., Bagby R. M., Quilty L. C., Veltri C. O., Markon K. E., et al. (2013). On the convergence between PSY-5 domains and PID-5 domains and facets: implications for assessment of DSM-5 personality traits. Assessment 20 286–294. 10.1177/1073191112471141 PubMed DOI
Bach B., First M. B. (2018). Application of the ICD-11 classification of personality disorders. BMC Psychiatry 18:351. 10.1186/s12888-018-1908-3 PubMed DOI PMC
Bach B., Kerber A., Aluja A., Bastiaens T., Keeley J. W., Claes L., et al. (2020). International assessment of DSM-5 and ICD-11 personality disorder traits: toward a common nosology in DSM-5.1. Psychopathology 53 179–188. 10.1159/000507589 PubMed DOI
Bach B., Sellbom M., Kongerslev M., Simonsen E., Krueger R. F., Mulder R. (2017). Deriving ICD-11 personality disorder domains from DSM-5 traits: initial attempt to harmonize two diagnostic systems. Acta Psychiatr. Scand. 136 108–117. 10.1111/acps.12748 PubMed DOI
Bagby R. M., Sellbom M. (2018). The validity and clinical utility of the personality inventory for DSM-5 response inconsistency scale. J. Pers. Assess. 100 398–405. 10.1080/00223891.2017.1420659 PubMed DOI
Bauchowitz A. U., Gonder-Frederick L. A., Olbrisch M. E., Azarbad L., Ryee M. Y., Woodson M., et al. (2005). Psychosocial evaluation of bariatric surgery candidates: a survey of present practices. Psychosom. Med. 67 825–832. 10.1097/01.psy.0000174173.32271.0 PubMed DOI
Baumeister H., Härter M. (2007). Mental disorders in patients with obesity in comparison with healthy probands. Int. J. Obes. 31 1155–1164. 10.1038/sj.ijo.0803556 PubMed DOI
Chalopin S., Betry C., Coumes S., Wion N., Reche F., Arvieux C., et al. (2020). Benefits and risks of bariatric surgery in patients with bipolar disorders. Surg. Obes. Relat. Dis. 16 798–805. 10.1016/j.soard.2020.02.010 PubMed DOI
Clarkin J. F., Caligor E., Sowislo J. F. (2020). An object relations model perspective on the alternative model for personality disorders (DSM-5). Psychopathology 53 141–148. 10.1159/000508353 PubMed DOI PMC
De Panfilis C., Cero S., Torre M., Salvatore P., Dall’Aglio E., Adorni A., et al. (2006). Utility of the temperament and character inventory (TCI) in outcome prediction of laparoscopic adjustable gastric banding: preliminary report. Obes. Surg. 16 842–847. 10.1381/096089206777822278 PubMed DOI
Fabricatore A. N., Crerand C. E., Wadden T. A., Sarwer D. B., Krasucki J. L. (2006). How do mental health professionals evaluate candidates for bariatric surgery? Survey results. Obes. Surg. 16 567–573. 10.1381/096089206776944986 PubMed DOI
Frankenburg F. R., Zanarini M. C. (2006). Obesity and obesity-related illnesses in borderline patients. J. Pers. Disord. 20 71–80. 10.1521/pedi.2006.20.1.71 PubMed DOI
Gerlach G., Herpertz S., Loeber S. (2015). Personality traits and obesity: a systematic review. Obes. Rev. 16 32–63. 10.1111/obr.12235 PubMed DOI
Guisado J. A., Vaz F. J., Alarcón J., López-Ibor J. J., Jr., Rubio M. A., Gaite L. (2002). Psychopathological status and interpersonal functioning following weight loss in morbidly obese patients undergoing bariatric surgery. Obes. Surg. 12 835–840. 10.1381/096089202320995664 PubMed DOI
Heriseanu A. I., Hay P., Corbit L., Touyz S. (2020). Relating goal-directed behaviour to grazing in persons with obesity with and without eating disorder features. J. Eat. Disord. 8:48. 10.1186/s40337-020-00324-1 PubMed DOI PMC
Hopwood C. J., Wright A. G., Krueger R. F., Schade N., Markon K. E., Morey L. C. (2013). DSM-5 pathological personality traits and the personality assessment inventory. Assessment 20 269–285. 10.1177/1073191113486286 PubMed DOI
Insel T., Cuthbert B., Garvey M., Heinssen R., Pine D. S., Quinn K., et al. (2010). Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am. J. Psychiatry 167 748–751. 10.1176/appi.ajp.2010.09091379 PubMed DOI
Kakoschke N., Aarts E., Verdejo-García A. (2019). The cognitive drivers of compulsive eating behavior. Front. Behav. Neurosci. 12:338. 10.3389/fnbeh.2018.00338 PubMed DOI PMC
Keeley J. W., Webb C., Peterson D., Roussin L., Flanagan E. H. (2016). Development of a response inconsistency scale for the personality inventory for DSM-5. J. Pers. Assess. 98 351–359. 10.1080/00223891.2016.1158719 PubMed DOI
Kerber A., Schultze M., Müller S., Rühling R. M., Wright A. G., Spitzer C., et al. (2020). Development of a short and ICD-11 compatible measure for DSM- 5 maladaptive personality traits using ant colony optimization algorithms. Assessment 28:1073191120971848. 10.31234/osf.io/rsw54 PubMed DOI PMC
Kernberg O. F. (1984). Severe Personality Disorders: Psychotherapeutic Strategies. New Haven, CT: Yale University Press.
Kinzl J. F., Schrattenecker M., Traweger C., Mattesich M., Fiala M., Biebl W. (2006). Psychosocial predictors of weight loss after bariatric surgery. Obes. Surg. 16 1609–1614. 10.1381/096089206779319301 PubMed DOI
Kotov R., Krueger R. F., Watson D., Achenbach T. M., Althoff R. R., Bagby R. M., et al. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): a dimensional alternative to traditional nosologies. J. Abnorm. Psychol. 126 454–477. 10.1037/abn0000258 PubMed DOI
Krueger R. F., Derringer J., Markon K. E., Watson D., Skodol A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychol. Med. 42 1879–1890. 10.1017/S0033291711002674 PubMed DOI PMC
Larsen J. K., Geenen R., Maas C., de Wit P., van Antwerpen T., Brand N., et al. (2004). Personality as a predictor of weight loss maintenance after surgery for morbid obesity. Obes. Res. 12 1828–1834. 10.1038/oby.2004.227 PubMed DOI
Leombruni P., Pierò A., Dosio D., Novelli A., Abbate-Daga G., Morino M., et al. (2007). Psychological predictors of outcome in vertical banded gastroplasty: a 6 months prospective pilot study. Obes. Surg. 17 941–948. 10.1007/s11695-007-9173-4 PubMed DOI
Livhits M., Mercado C., Yermilov I., Parikh J. A., Dutson E., Mehran A., et al. (2012). Preoperative predictors of weight loss following bariatric surgery: systematic review. Obes. Surg. 22 70–89. 10.1007/s11695-011-0472-4 PubMed DOI
Lowmaster S. E., Hartman M. J., Zimmermann J., Baldock Z. C., Kurtz J. E. (2020). Further validation of the response inconsistency scale for the Personality inventory for DSM-5. J. Pers. Assess. 102 743–750. 10.1080/00223891.2019.1674320 PubMed DOI
Marek R. J., Ben-Porath Y. S., Heinberg L. J. (2016). Understanding the role of psychopathology in bariatric surgery outcomes. Obes. Rev. 17 126–141. 10.1111/obr.12356 PubMed DOI
Marek R. J., Ben-Porath Y. S., Sellbom M., McNulty J. L., Heinberg L. J. (2015a). Validity of minnesota multiphasic personality inventory-2-restructured form (MMPI-2-RF) scores as a function of gender, ethnicity, and age of bariatric surgery candidates. Surg. Obes. Relat. Dis. 11 627–634. 10.1016/j.soard.2014.10.005 PubMed DOI
Marek R. J., Tarescavage A. M., Ben-Porath Y. S., Ashton K., Merrell Rish J., Heinberg L. J. (2015b). Using presurgical psychological testing to predict 1-year appointment adherence and weight loss in bariatric surgery patients: predictive validity and methodological considerations. Surg. Obes. Relat. Dis. 11 1171–1181. 10.1016/j.soard.2015.03.020 PubMed DOI
Marek R. J., Ben-Porath Y. S., van Dulmen M. H. M., Ashton K., Heinberg L. J. (2017). Using the presurgical psychological evaluation to predict 5-year weight loss outcomes in bariatric surgery patients. Surg. Obes. Relat. Dis. 13 514–521. 10.1016/j.soard.2016.11.008 PubMed DOI
Moore C. F., Sabino V., Koob G. F., Cottone P. (2017). Pathological overeating: emerging evidence for a compulsivity construct. Neuropsychopharmacology 42 1375–1389. 10.1038/npp.2016.269 PubMed DOI PMC
Morey L. C. (2017). Development and initial evaluation of a self-report form of the DSM-5 level of personality functioning scale. Psychol. Assess. 29 1302–1308. 10.1037/pas0000450 PubMed DOI
Olajide K., Munjiza J., Moran P., O’Connell L., Newton-Howes G., Bassett P., et al. (2018). Development and psychometric properties of the Standardized Assessment of Severity of Personality Disorder (SASPD). J. Pers. Disord. 32 44–56. 10.1521/pedi_2017_31_285 PubMed DOI
Oltmanns J. R., Widiger T. A. (2018). A self-report measure for the ICD-11 dimensional trait model proposal: the personality inventory for ICD-11. Psychol. Assess. 30 154–169. 10.1037/pas0000459 PubMed DOI PMC
Oltmanns J. R., Rivera Rivera J., Cole J., Merchant A., Steiner J. P. (2020). Personality psychopathology: longitudinal prediction of change in body mass index and weight post-bariatric surgery. Health Psychol. 39 245–254. 10.1037/hea0000842 PubMed DOI PMC
Petry N. M., Barry D., Pietrzak R. H., Wagner J. A. (2008). Overweight and obesity are associated with psychiatric disorders: results from the national epidemiologic survey on alcohol and related conditions. Psychosom. Med. 70 288–297. 10.1097/PSY.0b013e3181651651 PubMed DOI
Pincus A. L., Cain N. M., Halberstadt A. L. (2020). Importance of self and other in defining personality pathology. Psychopathology 53 133–140. 10.1159/000506313 PubMed DOI
R Core Team (2021). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
Riegel K. D., Ksinan A. J., Samankova D., Preiss M., Harsa P., Krueger R. F. (2018). Unidimensionality of the personality inventory for DSM-5 facets: evidence from two Czech-speaking samples. Personal. Ment. Health 12 281–297. 10.1002/pmh.1423 PubMed DOI
Riegel K. D., Preiss M., Ksinan A. J., Michalec J., Samankova D., Harsa P. (2017). Psychometric properties of the Czech version of the personality inventory for DSM-5: internal consistency, validity and discrimination capacity of the measure. Czechoslov. Psychol. 61 128–143.
Rowe J. L., Downey J. E., Faust M., Horn M. J. (2000). Psychological and demographic predictors of successful weight loss following silastic ring vertical stapled gastroplasty. Psychol. Rep. 86 1028–1036. 10.2466/pr0.2000.86.3.1028 PubMed DOI
Sansone R. A., Schumacher D., Wiederman M. W., Routsong-Weichers L. (2008). The prevalence of binge eating disorder and borderline personality symptomatology among gastric surgery patients. Eat. Behav. 9 197–202. 10.1016/j.eatbeh.2007.08.002 PubMed DOI
Shen S. C., Lin H. Y., Huang C. K., Yen Y. C. (2016). Adherence to psychiatric follow-up predicts 1-year BMI loss in gastric bypass surgery patients. Obes. Surg. 26 810–815. 10.1007/s11695-015-1821-5 PubMed DOI
Somma A., Borroni S., Kelley S. E., Edens J. F., Fossati A. (2018). Further evidence for the validity of a response inconsistency scale for the Personality inventory for DSM-5 in Italian community-dwelling adolescents, community-dwelling adults, clinical adults. Psychol. Assess. 30 929–940. 10.1037/pas0000547 PubMed DOI
Tsushima W. T., Bridenstine M. P., Balfour J. F. (2004). MMPI-2 scores in the outcome prediction of gastric bypass surgery. Obes. Surg. 14 528–532. 10.1381/096089204323013550 PubMed DOI
Voon V., Morris L. S., Irvine M. A., Ruck C., Worbe Y., Derbyshire K., et al. (2015). Risk-taking in disorders of natural and drug rewards: neural correlates and effects of probability, valence, and magnitude. Neuropsychopharmacology 40 804–812. 10.1038/npp.2014.242 PubMed DOI PMC
Walfish S., Vance D., Fabricatore A. N. (2007). Psychological evaluation of bariatric surgery applicants: procedures and reasons for delay or denial of surgery. Obes. Surg. 17 1578–1583. 10.1007/s11695-007-9274-0 PubMed DOI
World Health Organization [WHO] (2019). ICD-11 Clinical Descriptions and Diagnostic Guidelines for Mental and Behavioural Disorders. Geneva: World Health Organization.
Zimmermann J., Kerber A., Rek K., Hopwood C. J., Krueger R. F. (2019). A brief but comprehensive review of research on the Alternative DSM-5 model for personality disorders. Curr. Psychiatry Rep. 21:92. 10.1007/s11920-019-1079-z PubMed DOI
Zimmermann J., Müller S., Bach B., Hutsebaut J., Hummelen B., Fischer F. (2020). A common metric for self-reported severity of personality disorder. Psychopathology 53 168–178. 10.1159/000507377 DOI