Personality Disorders and Long-Term Sick Leave: A Population-Based Study of Young Adult Norwegian Twins

2014 ◽  
Vol 17 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Line C. Gjerde ◽  
Espen Røysamb ◽  
Nikolai Czajkowski ◽  
Gun Peggy Knudsen ◽  
Kristian Østby ◽  
...  
Keyword(s):  
Young Adult ◽  
Sick Leave ◽  
Personality Disorders ◽  
Structured Interview ◽  
Population Based ◽  
Causal Association ◽  
Global Functioning ◽  
Dsm Iv ◽  
Age Range

Personality disorders (PDs) reduce global functioning, are associated with high levels of work disability, and are thus also likely to influence long-term sick leave (LTSL). Previous research has indicated significant genetic influence on both DSM-IV PDs and LTSL. To what degree genes contributing to PDs also influence LTSL has not been investigated. The aims of the current study were to investigate which PDs were significantly associated with LTSL, to what extent the genetic contributions to these PDs account for the heritability of LTSL, and to explore the hypothesis of a causal association between PDs and LTSL. The sample consisted of 2,771 young, adult Norwegian twins, born 1967–1979. PDs were assessed using the Structured Interview for DSM-IV Personality (SIDP-IV). The age range for the interview was 20–32. The data were subsequently linked to public records of LTSL (sick leave >16 days) up to 11 years later. The odds ratio for being in the highest LTSL category (>15% sick leave) when fulfilling the DSM-IV criteria for any PD diagnosis was 2.6 (1.8–3.8, 95% CI). Dimensional representations of schizotypal, paranoid, and borderline PD were independently and significantly associated with LTSL. The heritability of LTSL was 0.50. Genetic factors shared with the PDs accounted for 20% of this. The association between PDs and LTSL was due to shared genetic and not environmental influences, and was mainly explained by one common genetic factor. The hypothesis of a causal association was not supported, indicating that the association is explained by overlapping genetic liability between PDs and LTSL.

scholarly journals Genetic and Environmental Contributions to Long-Term Sick Leave and Disability Pension: A Population-Based Study of Young Adult Norwegian Twins

2013 ◽  
Vol 16 (4) ◽  
pp. 759-766 ◽  
Author(s):  
Line C. Gjerde ◽  
Gun Peggy Knudsen ◽  
Nikolai Czajkowski ◽  
Nathan Gillespie ◽  
Steven H. Aggen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Young Adult ◽  
Environmental Factors ◽  
Sick Leave ◽  
Disability Pension ◽  
Strong Association ◽  
Population Based ◽  
Historical Event ◽  
Environmental Correlations

Although exclusion from the workforce due to long-term sick leave (LTSL) and disability pension (DP) is a major problem in many Western countries, the etiology of LTSL and DP is not well understood. These phenomena have a strong association as most patients receiving DP have first been on LTSL. However, only a few of those on LTSL end up with DP. The present study aimed to investigate the common and specific genetic and environmental risk factors for LTSL and DP. The present study utilizes a population-based sample of 7,710 young adult twins from the Norwegian Institute of Public Health Twin Panel, which has been linked to the Historical-Event Database (FD-Trygd; 1998–2008). Univariate and bivariate twin models were fitted to determine to what degree genetic and environmental factors contribute to variation in LTSL and DP. The estimated heritabilities of LTSL and DP were 0.49 and 0.66, respectively. There was no evidence for shared environmental or sex-specific factors. The phenotypic-, genetic-, and non-familial environmental correlations between the variables were 0.86, 0.82, and 0.94, respectively. Our results indicate that familial transmission of LTSL and DP is due to genetic and not environmental factors. The risk factors contributing to LTSL and DP were mainly shared, suggesting that what increases risk for LTSL also increases risk for DP. However, a non-negligible part of the genetic variance was not shared between the variables, which may contribute to explaining why some progress from LTSL to DP, whereas others return to work.

Dimensional representations of DSM-IV Cluster A personality disorders in a population-based sample of Norwegian twins: a multivariate study

2006 ◽  
Vol 36 (11) ◽  
pp. 1583-1591 ◽  
Author(s):  
KENNETH S. KENDLER ◽  
NIKOLAI CZAJKOWSKI ◽  
KRISTIAN TAMBS ◽  
SVENN TORGERSEN ◽  
STEVEN H. AGGEN ◽  
...  
Keyword(s):  
Risk Factors ◽  
Personality Disorders ◽  
Environmental Risk ◽  
Structured Interview ◽  
Population Based ◽  
Environmental Risk Factors ◽  
Twin Model ◽  
Limited Power ◽  
Dsm Iv ◽  
Cluster A

Background. The ‘odd’ or ‘Cluster A’ personality disorders (PDs) – paranoid, schizoid and schizotypal PDs – were created in DSM-III with little empirical foundation. We have examined the relationship between the genetic and environmental risk factors for dimensional representations of these three personality disorders.Method. These personality disorders were assessed using the Structured Interview for DSM-IV Personality (SIDP-IV) in 1386 young adult twin pairs from the Norwegian Institute of Public Health Twin Panel. Using Mx, a single-factor independent pathway twin model was fitted to the number of endorsed criteria for the three disorders.Results. The best-fit model included genetic and unique environmental common factors and genetic and unique environmental effects specific to each personality disorder. Total heritability was modest for these personality disorders and ranged from 21% to 28%. Loadings on the common genetic and unique environmental factors were substantially higher for schizotypal than for paranoid or schizoid PD. The proportion of genetic liability shared with all Cluster A disorders was estimated at 100, 43 and 26% respectively for schizotypal, paranoid and schizoid PDs.Conclusion. In support of the validity of the Cluster A construct, dimensional representations of schizotypal, paranoid and schizoid PD are all modestly heritable and share a portion of their genetic and environmental risk factors. No evidence was found for shared environmental or sex effects for these PDs. Schizotypal PD most closely reflects the genetic and environmental liability common to all three Cluster A disorders. These results should be interpreted in the context of the limited power of this sample.

Dimensional representations of DSM-IV cluster B personality disorders in a population-based sample of Norwegian twins: a multivariate study

2008 ◽  
Vol 38 (11) ◽  
pp. 1617-1625 ◽  
Author(s):  
S. Torgersen ◽  
N. Czajkowski ◽  
K. Jacobson ◽  
T. Reichborn-Kjennerud ◽  
E. Røysamb ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Personality Disorders ◽  
Family Environment ◽  
Structured Interview ◽  
Population Based ◽  
Factors Influencing ◽  
Co Morbidity ◽  
Cluster B Personality Disorders ◽  
Twin Models ◽  
Dsm Iv

BackgroundThe personality disorders (PDs) in the ‘dramatic’ cluster B [antisocial (ASPD), histrionic (HPD), narcissistic (NPD) and borderline (BPD)] demonstrate co-morbidity. However, the degree to which genetic and/or environmental factors influence their co-occurrence is not known and, with the exception of ASPD, the relative impact of genetic and environmental risk factors on liability to the cluster B PDs has not been conclusively established.MethodPD traits were assessed in 1386 Norwegian twin pairs between the age of 19 and 35 years using the Structured Interview for DSM-IV Personality Disorders (SIDP-IV). Using the statistical package Mx, multivariate twin models were fitted to dimensional representations of the PDs.ResultsThe best-fitting model, which did not include sex or shared family environment effects, included common genetic and environmental factors influencing all four dramatic PD traits, and factors influencing only ASPD and BPD. Heritability was estimated at 38% for ASPD traits, 31% for HPD traits, 24% for NPD traits and 35% for BPD traits. BPD traits had the lowest and ASPD traits the highest disorder-specific genetic variance.ConclusionThe frequently observed co-morbidity between cluster B PDs results from both common genetic and environmental influences. Etiologically, cluster B has a ‘substructure’ in which ASPD and BPD are more closely related to each other than to the other cluster B disorders.

The Impact of Personality Disorders on Longitudinal Change in Relationship Satisfaction in Long-Term Married Couples

2020 ◽  
Vol 34 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Susan C. South ◽  
Michael J. Boudreaux ◽  
Thomas F. Oltmanns
Keyword(s):  
Marital Satisfaction ◽  
Relationship Satisfaction ◽  
Personality Disorders ◽  
Married Couples ◽  
Structured Interview ◽  
Individual Variability ◽  
Self Report ◽  
Longitudinal Change ◽  
The Impact

Personality disorders (PDs) are significantly, negatively related to marital satisfaction. We examine how maladaptive personality is related to change in marital satisfaction over time utilizing data from the St. Louis Personality and Aging Network (SPAN), a longitudinal, community-based study of personality and health in older adults. Participants were assessed at baseline for PD (self-report, informant-report, and structured interview); self- and spouse-reported relationship satisfaction assessed at baseline and five follow-ups was analyzed with latent growth curve modeling. Higher levels of PD at baseline were associated with lower self and spouse relationship satisfaction at baseline. On average, satisfaction did not change significantly over the study period, but there was significant individual variability. Higher levels of schizoid PD were protective of declines in partner's perception of satisfaction. Findings suggest that partners in long-term married unions may have adapted to the presence of their own or their spouse's level of personality pathology.

scholarly journals Comparison of alternative models for personality disorders, II: 6-, 8- and 10-year follow-up

2011 ◽  
Vol 42 (8) ◽  
pp. 1705-1713 ◽  
Author(s):  
L. C. Morey ◽  
C. J. Hopwood ◽  
J. C. Markowitz ◽  
J. G. Gunderson ◽  
C. M. Grilo ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Pathology ◽  
Diagnostic Categories ◽  
Dsm 5 ◽  
Axis I ◽  
Dsm Iv ◽  
Characteristic Features

BackgroundSeveral conceptual models have been considered for the assessment of personality pathology in DSM-5. This study sought to extend our previous findings to compare the long-term predictive validity of three such models: the Five-Factor Model (FFM), the Schedule for Nonadaptive and Adaptive Personality (SNAP), and DSM-IV personality disorders (PDs).MethodAn inception cohort from the Collaborative Longitudinal Personality Disorder Study (CLPS) was followed for 10 years. Baseline data were used to predict long-term outcomes, including functioning, Axis I psychopathology, and medication use.ResultsEach model was significantly valid, predicting a host of important clinical outcomes. Lower-order elements of the FFM system were not more valid than higher-order factors, and DSM-IV diagnostic categories were less valid than dimensional symptom counts. Approaches that integrate normative traits and personality pathology proved to be most predictive, as the SNAP, a system that integrates normal and pathological traits, generally showed the largest validity coefficients overall, and the DSM-IV PD syndromes and FFM traits tended to provide substantial incremental information relative to one another.ConclusionsDSM-5 PD assessment should involve an integration of personality traits with characteristic features of PDs.

Description of the autolitic acts attended in a mental health unit in 2014

2016 ◽  
Vol 33 (S1) ◽  
pp. S595-S596
Author(s):  
A.M. Alvarez Montoya ◽  
C. Diago Labrador ◽  
T. Ruano Hernandez
Keyword(s):  
Mental Health ◽  
Population Based ◽  
Hospital Unit ◽  
Range Type ◽  
Dsm Iv ◽  
Competing Interest ◽  
Age Range ◽  
Mental Health Unit ◽  
Mental Health Hospital ◽  
Health Hospital

ObjectiveThe objective of the study is the analysis and the description of patients who committed autolitic acts and were attended in a mental health hospital unit in 2014.MethodWe analyze the patient registry for the attended emergencies in our mental health hospital unit, extracting the following variables: gender distribution, age range, type of method applied in the attempt and diagnosis based on DSM-IV TR.ResultsThe study reveals a larger share of autolitic acts in the feminine population between 14 and 69 years old. A total of 31 patients needed to be attended in an emergency hospital unit (11.74%). The most common method is the medical substance abuse (23 patients, 74.19% from the admitted patients in our Mental Health Hospitalary Unit). The diagnoses in order of frequency were; affective disorders (13 patients, 41.93%), personality disorders (8 patients, 25.80%), adaptative disorders (7 patients, 22.58%) and psychotics disorders (3 patients, 9.68%).ConclusionOur population-based sample confirms the epidemiologic data found in the consulted literature as well as in other population groups.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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