Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 11, Iss. 3, Jul, 2007, pp. 349-365 @2007 Society for Chaos Theory in Psychology & Life Sciences Dynamic Covariation of Symptoms of Anxiety and Depression Among Newly-diagnosed Patients with Major Depressive Episode, Panic Disorder, and Controls Abstract: The purpose of this study was to explore the relationship
between the dynamics of symptoms of anxiety and depression in
primary care patients with newly-diagnosed major depressive
episode (MDE), panic disorder, and neither disorder. Five
adult patients presenting each with MDE, panic disorder, and
neither disorder were recruited from two primary care clinics.
Hourly self-assessments of levels of anxiety and depression were
made for a 30-day period. Using differential structural equation
modeling analysis, MDE and panic disorder differed from controls,
but not from each other, in symptom levels, covariability, and effect
on depression acceleration. Using state space grid analysis,
attractors in controls were larger, more "influential", and more
consistent. Patients with MDE had more total attractors but less
consistent Week 1 attractors than patients with panic disorder or
controls, suggesting more transient and less stable dynamics. This
exploratory study suggests the importance of looking at covariability
of anxiety and depression in mental illness. Keywords: anxiety, depression, nonlinear dynamics, panic disorder, variability |