PURPOSE: To determine whether personality disorders (PDs) are associated with increased risk of disability pensioning in young adults, independent of other common mental disorders. METHODS: 2,770 young adults from the general population were assessed for PDs by the Structured Interview for DSM-IV Personality, and for common mental disorders by the Composite of International Diagnostic Interview. These data were linked to the Norwegian National Insurance Administration's recordings of disability benefits for a 10-year period. Logistic regression analyses were applied to investigate the association between PDs and disability pensioning. The analyses were conducted for three types of PD measures: categorical diagnoses (any PD), dimensional scores of individual PDs and higher order components retrieved by principal component analyses. RESULTS: Having any PD was strongly associated with disability pensioning, regardless of disability diagnosis. The estimated odds ratio (OR) was substantially higher for PDs [OR 4.69 (95% confidence interval (CI) 2.6-8.5)] than for mood disorders [OR 1.3 (CI 0.7-2.3)] and anxiety disorders [OR 2.3 (CI 1.3-4.3)]. Measured dimensionally, all PD traits except antisocial traits were significantly associated with disability pensioning. After adjusting for co-occurring traits of other PDs, only schizoid, dependent and borderline PD traits showed a significant positive association with disability pension, while antisocial traits showed a significant negative association. The principal component analyses showed that negative affectivity, psychoticism, and detachment was associated with an increased risk of disability pensioning, while antagonism/disinhibition and obsessivity were not. CONCLUSIONS: PDs are strongly associated with disability pensioning in young adults, and might be more important predictors of work disability than anxiety and depressive disorders. Certain aspects of pathologic personalities are particularly important predictors of disability.
PURPOSE: To determine whether personality disorders (PDs) are associated with increased risk of disability pensioning in young adults, independent of other common mental disorders. METHODS: 2,770 young adults from the general population were assessed for PDs by the Structured Interview for DSM-IV Personality, and for common mental disorders by the Composite of International Diagnostic Interview. These data were linked to the Norwegian National Insurance Administration's recordings of disability benefits for a 10-year period. Logistic regression analyses were applied to investigate the association between PDs and disability pensioning. The analyses were conducted for three types of PD measures: categorical diagnoses (any PD), dimensional scores of individual PDs and higher order components retrieved by principal component analyses. RESULTS: Having any PD was strongly associated with disability pensioning, regardless of disability diagnosis. The estimated odds ratio (OR) was substantially higher for PDs [OR 4.69 (95% confidence interval (CI) 2.6-8.5)] than for mood disorders [OR 1.3 (CI 0.7-2.3)] and anxiety disorders [OR 2.3 (CI 1.3-4.3)]. Measured dimensionally, all PD traits except antisocial traits were significantly associated with disability pensioning. After adjusting for co-occurring traits of other PDs, only schizoid, dependent and borderline PD traits showed a significant positive association with disability pension, while antisocial traits showed a significant negative association. The principal component analyses showed that negative affectivity, psychoticism, and detachment was associated with an increased risk of disability pensioning, while antagonism/disinhibition and obsessivity were not. CONCLUSIONS: PDs are strongly associated with disability pensioning in young adults, and might be more important predictors of work disability than anxiety and depressive disorders. Certain aspects of pathologic personalities are particularly important predictors of disability.
Authors: Arnstein Mykletun; Simon Overland; Alv A Dahl; Steinar Krokstad; Ottar Bjerkeset; Nicholas Glozier; Leif E Aarø; Martin Prince Journal: Am J Psychiatry Date: 2006-08 Impact factor: 18.112
Authors: Yueqin Huang; Roman Kotov; Giovanni de Girolamo; Antonio Preti; Matthias Angermeyer; Corina Benjet; Koen Demyttenaere; Ron de Graaf; Oye Gureje; Aimée Nasser Karam; Sing Lee; Jean Pierre Lépine; Herbert Matschinger; José Posada-Villa; Sharain Suliman; Gemma Vilagut; Ronald C Kessler Journal: Br J Psychiatry Date: 2009-07 Impact factor: 9.319
Authors: Arnstein Mykletun; Ove Heradstveit; Kari Eriksen; Nicholas Glozier; Simon Øverland; John G Maeland; Ingvard Wilhelmsen Journal: Psychosom Med Date: 2009-03-25 Impact factor: 4.312
Authors: Kristian Tambs; Torbjørn Rønning; C A Prescott; Kenneth S Kendler; Ted Reichborn-Kjennerud; Svenn Torgersen; Jennifer R Harris Journal: Twin Res Hum Genet Date: 2009-04 Impact factor: 1.587
Authors: Frederick S Stinson; Deborah A Dawson; Risë B Goldstein; S Patricia Chou; Boji Huang; Sharon M Smith; W June Ruan; Attila J Pulay; Tulshi D Saha; Roger P Pickering; Bridget F Grant Journal: J Clin Psychiatry Date: 2008-07 Impact factor: 4.384
Authors: Kristian Amundsen Østby; Nikolai Czajkowski; Gun Peggy Knudsen; Eivind Ystrøm; Line C Gjerde; Kenneth S Kendler; Ragnhild E Ørstavik; Ted Reichborn-Kjennerud Journal: BMC Public Health Date: 2016-08-18 Impact factor: 3.295
Authors: Andrew M Chanen; Katie Nicol; Jennifer K Betts; Gary R Bond; Cathrine Mihalopoulos; Henry J Jackson; Katherine N Thompson; Martina Jovev; Hok Pan Yuen; Gina Chinnery; Judith Ring; Kelly Allott; Louise McCutcheon; Ashleigh P Salmon; Eoin Killackey Journal: Trials Date: 2020-06-26 Impact factor: 2.279