TY  - JOUR
PY  - 2015//
TI  - Trajectory classes of violent behavior and their relationship to lipid levels in schizophrenia inpatients
JO  - Journal of psychiatric research
A1  - Chen, Shing-Chia
A1  - Chu, Ni-Hsuan
A1  - Hwu, Hai-Gwo
A1  - Chen, Wei J.
SP  - 105
EP  - 111
VL  - 66-67
IS  - 
N2  - OBJECTIVE: To characterize the trajectory patterns of violence in schizophrenia inpatients, examine the relationships between the violence trajectories and baseline clinical features and lipid levels, and generate a model to predict the more violent trajectories. <br><br>METHODS: In a sample of 107 consecutively admitted patients with schizophrenia spectrum disorders, violent behavior was weekly rated using the Violence Scale. The patients' blood levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol were measured at admission. A trajectory analysis was used to classify the patients' longitudinal courses in violence, and the correlates of these trajectories were assessed using multinomial logistic regression analyses. A stepwise logistic regression was used to select the best predictor variables for the more violent trajectories. <br><br>RESULTS: Four violence trajectories of inpatients were obtained: class 1 (no violence, 37.4%), class 2 (low-leveling off, 39.2%), class 3 (high-falling sharply, 10.3%), and class 4 (high-falling slowly, 13.1%). Although the relationship between decreasing TC and TG levels and increased violence in the trajectory classes did not reach statistical significance, a decreasing trend in the proportion of high dichotomized-TG levels was significantly associated with more violence in the trajectory classes (p = 0.04). A five-variable model consisting of female gender, early onset, higher scores of positive symptoms, lower scores of negative symptoms, and low dichotomized-TC levels had a predictive accuracy of 0.85 (95% CI = 0.72-0.97). <br><br>CONCLUSIONS: Distinct violence trajectories exist in schizophrenia inpatients, and the more violent trajectories can be predicted using baseline clinical features and lipid levels.<p />  <p>Language: en</p>
LA  - en
SN  - 0022-3956
UR  - http://dx.doi.org/10.1016/j.jpsychires.2015.04.022
ID  - ref1
ER  -