Week 11: Intervention for the kids of Bipolars Flashcards

1
Q

What is cool about this intervention?

A

It puts what we know about risk factors in practice.

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2
Q

Prevalence of major affective

disorders

A
National Comorbidity Study
-Replication (n=9282)
Depression 16.2%
Bipolar disorder 2.1% 
Sub-threshold BD 2.4%*

and the WHO has it at a massive disease burden

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3
Q

Why is depression so bad (2 things)

A

Prevalence

burden

The onset of it keeps getting younger with each passing generation

Among diseases, unique combination of
–High prevalence
–Early age of onset
–High chronicity
–High role impairment
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4
Q

The enigma of affective disorders

A
Efficacious 
treatments exist. 
They are widely 
available
BUT

Still, prevalence
continues to
increase.

Cos we focus on adult depression and not the causes in childhood

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5
Q

Approaches to the problem of the

affective disorders

A

LONGITUDINAL PROSPECTIVE RESEARCH
HIGH RISK POPULATIONS

The issue is you cannot always find participants cos they’re comparatively rare so you focus on known long term risk populations

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6
Q

Risk for psychopathology in offspring of

BD parents: Systematic review (n=973)

A

Kids with parents wwith BPD have 16.2% rate of depression which is really high

26.5% all affective disorders

They also have 5.4% BPD which is way above normal

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7
Q

More recent data:

Rates of affective disorders

A

Recent studies 15*56% OBD (for affective disorders

Concordia cohort 32%

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8
Q

HPA axis and affective disorders

A
The HPA system is profoundly 
dysregulated in depression and bipolar 
disorder (Holsboer, 1995). 
–Problems at all levels!
• Most deficits disappear upon remission
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9
Q

Methods: Salivary Cortisol

A
• Cortisol sampling in the 
natural environment 2-3 days, 
6-7 samples / day
• Cortisol response following 
awakening (CAR): awakening, 
\+ 30, + 60 minutes post 
awakening
• Objective measures of 
compliance, using electronic 
monitoring of sampling
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10
Q

HPA in Offspring of Bipolar Disorder vs control (via salivary cortisol)

A

Same pattern

Consistently higher

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11
Q

Why high cortisol?

A
Exposed to more stress?
More sensitive to stress?
Biological marker of 
environmental or genetic 
risk? 
Parenting ?
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12
Q

Early environmental sensitization

A

Animal research has demonstrated that the HPA
axis is calibrated by the prenatal and postnatal
environment (Lupien et al, 2009)
• Human studies suggest that early environmental
adversity is associated with HPA sensitization
later in life.

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13
Q

Parental structure may be

particularly important in the OBD

A

Parents who have consistent relationships with chilldren

E.g. have meal at the same time etc

This reduces stress

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14
Q

Mean parenting practices in OBD

and control families

A

There is a significant difference between OPD and control families in terms of their structure, support and control

Structure and control, but not support, mediated the
relationship between risk status (having a parent with BD) and behavioral outcomes in children (Iacono et al, 2018)

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15
Q

Cortisol rise following awakening

adolescence

A

Same pattern, higher release in OBD

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16
Q

Cortisol response to psychosocial stress

A

Using the TSSR

Again, same relationship, similar pattern higher release in OBD vs control

17
Q

OBD as young adults

A

• Re-assessed HPA functioning in the natural
environment, now at 20 years of age
• Does parental structure in middle childhood
predict HPA reactivity in young adulthood?
• Do change in HPA functioning predict the
development of depressive and anxiety symptoms?

Having a parent with BPD predicted the structure of the family (it was lower)

This predicted the amount of salivary cortisol (higher)

This in turn predicted the Current MDD/ANX symptoms

So the effect of BP in parents is mediated by structure and HPA activity

This has been replicated a lot

One study found an interaction between cortisol levels and the risk allele for HTTSLR (serotonin) made 7.6x more likely to have affective disorders or symptoms

18
Q

REVIEW

A

• OBD are a high risk for developing
internalizing and externalizing problems, as
well as changes in the HPA axis
• Exposure to childhood stress and adversity in
the OBD might sensitizes the HPA axis
• Parental structure might mitigate these effects

19
Q

Reducing
Unwanted
Stress in the
Home

Overview

A

• Twelve-week group intervention
• Weekly, 2-hour meetings; led by graduate-level co-therapists
• Separate sessions for parents and their children
• Draws on empirically-supported treatments for stress management and family-focused therapy for BD (Abramowitz,
2012; Miklowitz, 2011; Shapiro & Sprague, 2009; Kendal et al,
2006)
• Techniques to improve consistency and structure in the home
• Stress-management skills
• Parenting practices
• Coping skills for children

20
Q

Participants

A

• Parents and their biological children aged 6-11 years
• 34 OBD (20 families) vs. 32 low-risk Control (25 families)
• Groups matched on child age, gender, ethnicity, and family
SES (p > .05)
• Age (M = 8 years, 2 months; SD = 1 year, 6 months)
• Gender (52% male, 48% female)
• SES (parental education = some college; mean annual
income = $40 000-60 000)
• Middle class, Caucasian, French Canadian

21
Q

Design

A

Would be assessed at 4 time points

Intervention between T1 and T2

both control and intervention would be assessed

22
Q

Assessments

A
Examples of Parent Measures
• Mental Health Status (SCID)
• Family Environment (HOME & FES)
• Parent-Child Interactions (Etch-a-Sketch Paradigm)
• Personality (NEO-PI-R)
Examples of Child Measures
• Mental Health Status (KSADS)
• Neuropsychological Testing (NEPSY-II and ANT-C)
• Psychopathology (BASC-II)
• Salivary Cortiso
23
Q

Results: Primary outcomes

A
• Disappointing
• Internalizing symptoms
• Externalizing symptoms
• Salivary cortisol
– No robust treatment effect across the 4 time points
24
Q

Did RUSH improve the family

environment of the OBD?

A

• Family Environment Scale (FES; Moos et al, 1974)
– Organization subscale

Risk groups structure improved

Closer to control (maybe no longer stat sign different)

25
Q

Did changes in the home

environment benefit the OBD?

A

• Mediation analysis

The indirect effect (ab) of intervention predicting externalizing problems through the mediator, change in home organization, was significant (95% confidence
intervals: -6.3, -0.05)

26
Q

Did the RUSH program improve
parent-child interactions among OBD
dyads?

A

Parent-Child Interaction Paradigm (Stevenson-Hinde &
Shouldice, 1995; Deater-Deckard & O’Connor, 2000)
– Parental positivity
– Parental negativity
– Dyadic mutuality
– Inter-rater reliability, ICC= .81-.90

27
Q

Parent-Child Interaction Quality

A

Significant effects of RUSH
program on slope (linear),
from T1 to T2 and T1 to T4
for all three measures.

Parental negativity

Parental positivity

Dyadic mutuality

28
Q

Outcome: Parent-reported internalizing

problems

A

The indirect effect (ab) of intervention predicting parent-report child anxiety
through the mediator, change in parental negativity, was significant (95%
confidence intervals: 0.06, 5.51

29
Q

Conclusions

A

• Developed a prevention program from our
biobehavioural studies of the OBD.
• The RUSH program decreased child behavioral
and emotional problems when it effectively
changed the home environment and parent-child
interactions.
• Need to consider how to increase RUSH impact or
figure out which types of families should be
targeted
• Next phase is to conduct an RCT in a wider range
of offspring at risk for affective disorders.

Not everyone responded. Could be that non responders were not overpowered statistically by responders due to small sample size