PMID- 15466675
OWN - NLM
STAT- MEDLINE
DCOM- 20041102
LR  - 20071114
IS  - 0003-990X (Print)
IS  - 0003-990X (Linking)
VI  - 61
IP  - 10
DP  - 2004 Oct
TI  - Individual growth curve analysis illuminates stability and change in personality 
      disorder features: the longitudinal study of personality disorders.
PG  - 1015-24
AB  - BACKGROUND: The long-term stability of personality pathology remains an open 
      question. Its resolution will come from prospective, multiwave longitudinal 
      studies using blinded assessments of personality disorders (PD). Informative 
      analysis of multiwave data requires the application of statistical procedures, 
      such as individual growth curve modeling, that can detect and describe individual 
      change appropriately over time. The Longitudinal Study of Personality Disorders, 
      which meets contemporary methodological design criteria, provides the data for 
      this investigation of PD stability and change from an individual growth curve 
      perspective. METHODS: Two hundred fifty subjects were examined for PD features at 
      3 different time points using the International Personality Disorders Examination 
      during a 4-year study. Stability and change in PD features over time were 
      examined using individual growth modeling. RESULTS: Fitting of unconditional 
      growth models indicated that statistically significant variation in PD features 
      existed across time in the elevation and rate of change of the individual PD 
      growth trajectories. Fitting of additional conditional growth models, in which 
      the individual elevation and rate-of-change growth parameters were predicted by 
      subjects' study group membership (no PD vs possible PD), sex, and age at entry 
      into the study, showed that study group membership predicted the elevation and 
      rate of change of the individual growth curves. Comorbid Axis I psychopathology 
      and treatment during the study period were related to elevations of the 
      individual growth trajectories, but not to rates of change. CONCLUSIONS: From the 
      perspective of individual growth curve analysis, PD features show considerable 
      variability across individuals over time. This fine-grained analysis of 
      individual growth trajectories provides compelling evidence of change in PD 
      features over time and does not support the assumption that PD features are 
      traitlike, enduring, and stable over time.
FAU - Lenzenweger, Mark F
AU  - Lenzenweger MF
AD  - Department of Psychology, State University of New York at Binghamton, Binghamton 
      13902-6000, USA. mlenzen@binghamton.edu
FAU - Johnson, Matthew D
AU  - Johnson MD
FAU - Willett, John B
AU  - Willett JB
LA  - eng
GR  - MH-45448/MH/NIMH NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, U.S. Gov't, P.H.S.
PL  - United States
TA  - Arch Gen Psychiatry
JT  - Archives of general psychiatry
JID - 0372435
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Bayes Theorem
MH  - Cluster Analysis
MH  - Data Interpretation, Statistical
MH  - Diagnostic and Statistical Manual of Mental Disorders
MH  - Female
MH  - Humans
MH  - Least-Squares Analysis
MH  - Logistic Models
MH  - Longitudinal Studies
MH  - Male
MH  - Models, Statistical
MH  - Personality Assessment/*statistics & numerical data
MH  - Personality Disorders/classification/*diagnosis/psychology
MH  - Personality Inventory/statistics & numerical data
MH  - Prognosis
MH  - Prospective Studies
MH  - Psychiatric Status Rating Scales/statistics & numerical data
EDAT- 2004/10/07 09:00
MHDA- 2004/11/04 09:00
CRDT- 2004/10/07 09:00
PHST- 2004/10/07 09:00 [pubmed]
PHST- 2004/11/04 09:00 [medline]
PHST- 2004/10/07 09:00 [entrez]
AID - 61/10/1015 [pii]
AID - 10.1001/archpsyc.61.10.1015 [doi]
PST - ppublish
SO  - Arch Gen Psychiatry. 2004 Oct;61(10):1015-24. doi: 10.1001/archpsyc.61.10.1015.