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Association Between Depression and Anxiety: Longitudinal Course and Family History

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Stony Brook University1, Oregon Research Institute2. Abstract. Depression and anxiety are highly comorbid disorders. ... Alloy, L.B., Kelly, K.A., Mineka, S. ... – PowerPoint PPT presentation

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Title: Association Between Depression and Anxiety: Longitudinal Course and Family History


1
Association Between Depression and Anxiety
Longitudinal Course and Family History
  • Thomas M. Olino1,2, Daniel N. Klein1,2,
  • Peter M. Lewinsohn2
  • Stony Brook University1, Oregon Research
    Institute2

2
Abstract
  • Depression and anxiety are highly comorbid
    disorders. Data from a number of previous
    studies utilizing different methodologies offer
    multiple potential models of how depressive and
    anxiety disorders influence each other or are
    caused by overlapping processes. The current
    study reports on 841 participants from the Oregon
    Adolescent Depression Project who participated in
    up to four diagnostic assessments over the course
    of approximately 15 years. Five structural
    equation models examined competing explanations
    for the overlap between the depressive and
    anxiety disorders. The best fitting model
    specified that depressive and anxiety disorders
    were caused by separate, but highly correlated
    latent factors. We also examined the influence
    of parental depression and anxiety on offspring
    depression and anxiety. In the most parsimonious
    model, maternal and paternal depressive disorder
    was associated with offspring depressive disorder
    and paternal depressive disorder and maternal and
    paternal anxiety disorder were associated with
    offspring anxiety disorder.

3
Comorbidity Between Depressive and Anxiety
Disorders
  • Depressive and anxiety disorders are highly
    comorbid (Clark, 1989 Kessler, Nelson,
    McGonagle, 1996).
  • Comorbidity has theoretical implications for
    defining disorders and interventions (Mineka et
    al., 1998).
  • Reasons for comorbidity are not well understood.

4
Potential Models of Comorbidity
  • The presence of an anxiety disorder increases the
    likelihood of the development of a depressive
    disorder (Alloy et al., 1990 Avenevoli et al.,
    2001 Kessler et al., 1997 Orvaschel, Lewinsohn,
    Seeley, 1995 Warner et al., 1999 ).
  • The presence of a depressive disorder increases
    the likelihood of the development of an anxiety
    disorder (Markowitz, 1993 Markowitz et al.,
    1992).

5
Potential Models of Comorbidity (contd)
  • Depressive and anxiety disorders are related due
    to a common factor giving rise to both disorders.
  • e.g., Krueger (Krueger Finger, 2001) Tyrer
    (2001) Andrews (1996).
  • Depressive and anxiety disorders have both shared
    and unique influences.
  • e.g., Clark Watsons Tripartite model (Clark
    Watson, 1991).

6
Goals of the Present Study
  • Compare multiple competing models of the
    comorbidity between depressive and anxiety
    disorders.
  • Examine the influence of parental history of
    depressive and anxiety disorder on offspring
    depressive and anxiety disorders in the best
    fitting model.

7
Methods
  • Participants were selected from the Oregon
    Adolescent Depression Project (OADP Lewinsohn et
    al., 1993) and were assessed on up to four
    occasions over the course of approximately 15
    years.
  • At the time of each assessment, participants
    completed structured diagnostic interviews.
  • All participants who completed the T3 assessment
    and did not experience a lifetime bipolar or
    psychotic disorder were included. Thus, the
    sample included 891 participants.

8
Methods (contd)
  • A total of 770 participants were assessed at all
    four time points 119 at three time points and 2
    at two time points.
  • At the time of the T3 assessment, diagnostic
    interviews were conducted with all first degree
    family relatives. If diagnostic interviews could
    not be completed, family history interviews were
    conducted. Data were available for 756 mothers
    and 741 fathers.

9
Analytic Approach
  • Caucasian OADP participants with no history of
    psychopathology through T2 were undersampled in
    the T3 follow-up hence in all statistical
    analyses offspring were weighted as a function of
    their probability of being selected at T3.
  • Structural equation modeling was performed using
    Mplus, version 3.12 (Muthén Muthén, 1998-2004).
  • Due to the categorical nature of the data,
    chi-square values were computed using the WLSMV
    estimator and theta parameterization. All
    available data was included by using the full
    information maximum likelihood method.

10
Baseline Model
p RMSEA .06.
11
Contemporaneous Effects Model
p RMSEA .06.
12
Cross-Lagged Effects Model
p RMSEA .05 ?2baseline model (6) 25.65, p .001 Not shown in the model are covariance paths
between the error terms at T2 (r -.13, p
n.s.), T3 (r .09, p n.s.), and T4 (r .22, p
13
One-Factor Model
p CFI .99 RMSEA .01. Not shown in the model
are covariance paths between the error terms at
T1 (r .26, p T3 (r .12, p n.s.), and T4 (r .19, p .01).
14
Two-Factor Model
p CFI 1.00 RMSEA model are covariance paths between the error
terms at T1 (r .26, p n.s.), T3 (r .17, p 15
Results
  • The two-factor model fit the data best.
  • The two-factor model fit the data significantly
    better than the one factor model.
  • The fit indices for the two-factor model were
    also best when compared to the baseline,
    contemporaneous, and cross-lagged effects models.
  • Thus, the two-factor model serves as the basis
    for the examination of family history.

16
Latent Depressive and Anxiety Disorder Factors
Regressed on Family History of Psychopathology
p CFI .99 RMSEA .005. Not shown in the model
are covariance paths between the error terms at
T1 (r .25, p (r .16, p 17
Discussion
  • Of the models estimated, the best fitting model
    was the two-factor model.
  • Rather than reflecting autoregressive,
    cross-disorder influence over time, or a single
    factor influencing each disorder, the best
    fitting model suggests that depressive and
    anxiety disorders at various time points are
    expressions of separate, but highly correlated,
    vulnerabilities.
  • This model is consistent with, but not a direct
    estimation of, the tripartite model (Clark
    Watson, 1991).

18
Discussion (contd)
  • Evidence for independent transmission and
    co-aggregation of depressive and anxiety
    disorders was mixed.
  • Maternal depressive disorder was specifically
    associated with offspring depressive disorder.
  • Maternal and paternal anxiety disorder was
    specifically associated with offspring anxiety
    disorder.
  • Paternal depressive disorder was associated with
    both offspring depressive disorder and anxiety
    disorder.

19
Future Directions
  • Future studies should examine if the latent
    depressive disorder and latent anxiety disorder
    factors are associated with their theoretically
    relevant symptom and personality features from
    the tripartite model.
  • Future studies could also examine the processes
    by which maternal depressive disorder is
    associated with offspring depressive disorder,
    however, paternal depressive disorder is
    associated with both offspring depressive and
    anxiety disorder.

20
References
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