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1 Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008 Comorbidity of Anxiety Disorders in the National Comorbidity Survey Adolescent Supplement (NCS-A)

Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Comorbidity of Anxiety Disorders in the National Comorbidity Survey Adolescent Supplement (NCS-A). Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008. NCS-A study design. Nationally representative sample of n = 10,200 adolescents - PowerPoint PPT Presentation

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Page 1: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

1

Ronald C. Kessler, Ph.D.

Department of Health Care Policy

Harvard Medical School

March 6, 2008

Comorbidity of Anxiety Disorders in the National Comorbidity Survey Adolescent Supplement (NCS-A)

Page 2: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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NCS-A study design

Nationally representative sample of n = 10,200 adolescents

Sampled from a nationally representative sample of 230 schools

All respondents were ages 13 – 17, English-speaking, and students

Face-to-face interviews with respondents Self-administered questionnaires with parents

Page 3: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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The NCS-A instruments

Adolescent version of WHO CIDI – 3.0 with adolescents

Informant version of CIDI with parents School survey focused on mental health

resources with school Principals and mental health coordinators

Page 4: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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DSM-IV anxiety disorders assessed

Panic disorder with or without agoraphobia Agoraphobia without a history of panic disorder Specific phobia Social phobia Generalized anxiety disorder Post-traumatic stress disorder Obsessive-compulsive disorder Separation anxiety disorder

Page 5: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Other DSM-IV disorders assessed

Mood disorders (MDD, dysthymic disorder, BPD)

Externalizing disorders (ADHD, ODD, CD, IED, eating disorders)

Substance disorders (alcohol and drug abuse-dependence)

Page 6: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Concordance of DSM-IV diagnoses based on the CIDI and the K-SADS

Panic disorder with or without agoraphobia 74.4 99.2 0.87

Agoraphobia without a history of panic disorder 81.9 98.7 0.90

Specific phobia 96.9 92.1 0.94

Social phobia 65.6 95.8 0.81

Generalized anxiety disorder 60.1 99.3 0.80

Post-traumatic stress disorder 59.9 98.0 0.79

Sens Spec AUC

Page 7: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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DSM-IV/CIDI lifetime prevalence estimates of anxiety disorders

Panic disorder with or without agoraphobia 2.3 (0.2)

Agoraphobia without a history of panic disorder 2.4 (0.2)

Specific phobia 19.3 (0.8)

Social phobia 9.1 (0.4)

Generalized anxiety disorder 2.2 (0.4)

Post-traumatic stress disorder 5.0 (0.3)

Separation anxiety disorder 7.6 (0.3)

% (se)

Page 8: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Age of onset distributions for anxiety disorders

Figure 1. Anxiety

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Any Anxiety

Agoraphobia w/o Panic

GAD

Social Phobia

Specific Phobia

Separation Anxiety

Panic Disorder

PTSD

Page 9: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Age of onset distributions for mood disorders

Figure 2. Mood

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0 3 5 8 10 13 15 18 20

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Any Mood

Any Bipolar

MDDH or DYS

Page 10: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Age of onset distributions for externalizing disorders

Figure 3. Externalizing Disorders

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Any Externalizing Disorder

Conduct Disorder

ADHD

ODD

Any Eating Disorder

IED

Page 11: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Age of onset distributions for substance disorders

Figure 4. Substance

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Any Substance

Alcohol Abuse

Alcohol Dependence

Drug Abuse

Drug Dependence

Page 12: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Age of onset distributions for each class of disorders

Figure 5. Cumulative

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Any Anxiety

Any Substance

Any Impulse

Any Mood

Any Diagnosis

Page 13: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Rotated (promax) factor loadings (standardized regression coefficients) of lifetime DSM-IV/CIDI diagnoses at the level of the person-year

Fear Distress Externalizing Substance I. Fear disorders

Agoraphobia without PD .85 .02 -.07 -.04 Social phobia .65 .18 -.18 .14 Specific phobia .61 .18 -.01 -.06 Panic disorder .63 -.02 .07 -.05

II. Distress disorders MDD/Dysthymia .01 .58 .46 .04 GAD .08 .78 -.14 .09 PTSD .00 .70 .07 .10

III. Externalizing disorders ADHD -.17 -.001 .95 -.15 ODD .10 -.03 .79 .14 CD .02 .09 .56 .31

IV. Substance disorders Alcohol -.18 .16 .03 .87 Drug .10 -.04 .01 .90

V. Other disorders Bipolar disorder .41 -.09 .19 .32 Separation anxiety disorder .37 .42 .12 -.35 Intermittent explosive disorder .55 -.19 .40 .08 Eating disorders .04 .22 .34 -.01

Page 14: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Rotated (promax) factor loadings (standardized regression coefficients) of lifetime DSM-IV/CIDI diagnoses at the level of the person-year

Fear Distress Externalizing Substance I. Fear disorders

Agoraphobia without PD .85 .02 -.07 -.04 Social phobia .65 .18 -.18 .14 Specific phobia .61 .18 -.01 -.06 Panic disorder .63 -.02 .07 -.05

II. Distress disorders MDD/Dysthymia .01 .58 .46 .04 GAD .08 .78 -.14 .09 PTSD .00 .70 .07 .10

III. Externalizing disorders ADHD -.17 -.001 .95 -.15 ODD .10 -.03 .79 .14 CD .02 .09 .56 .31

IV. Substance disorders Alcohol -.18 .16 .03 .87 Drug .10 -.04 .01 .90

V. Other disorders Bipolar disorder .41 -.09 .19 .32 Separation anxiety disorder .37 .42 .12 -.35 Intermittent explosive disorder .55 -.19 .40 .08 Eating disorders .04 .22 .34 -.01

Page 15: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Discrete-time survival analysis of associations between temporally primary disorders and the subsequent onset of secondary disorders

Person-year data array

Page 16: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Discrete-time survival analysis of associations between temporally primary disorders and the subsequent onset of secondary disorders

Person-year data array Temporally primary disorders are treated as time-

varying covariates

Page 17: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Discrete-time survival analysis of associations between temporally primary disorders and the subsequent onset of secondary disorders

Person-year data array Temporally primary disorders are treated as time-

varying covariates A series of models was estimated to evaluate the

effects of primary disorders on onset of secondary disorders

Page 18: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results

Everything predicts everything in bivariate models

Page 19: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results

Everything predicts everything in bivariate models Many sign flips in additive multivariate models

Page 20: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results

Everything predicts everything in bivariate models Many sign flips in additive multivariate models Marginal effects stabilize in a simple global

interactions model

Page 21: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results

Everything predicts everything in bivariate models Many sign flips in additive multivariate models Marginal effects stabilize in a simple global

interactions model Global interactions are significant and consistently

sub-additive

Page 22: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results

Everything predicts everything in bivariate models Many sign flips in additive multivariate models Marginal effects stabilize in a simple global

interactions model Global interactions are significant and consistently

sub-additive More complex interaction models find no evidence of

domain-specific effects

Page 23: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results

Everything predicts everything in bivariate models Many sign flips in additive multivariate models Marginal effects stabilize in a simple global

interactions model Global interactions are significant and consistently

sub-additive More complex interaction models find no evidence of

domain-specific effects Marginal effects show some evidence of domain

specificity, but domain-specific effects do not account for all significant associations

Page 24: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

There are 240 logically possible time-lagged associations among 16 disorders

Page 25: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

There are 240 logically possible time-lagged associations among 16 disorders

But some of these do not exist by definition (e.g., BPD predicting MDD)

Page 26: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

There are 240 logically possible time-lagged associations among 16 disorders

But some of these do not exist by definition (e.g., BPD predicting MDD)

Others had too few cases for analysis (e.g., drug disorders predicting ADHD, as onset of ADHD occurs so much earlier than onset of drug abuse)

Page 27: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

There are 240 logically possible time-lagged associations among 16 disorders

But some of these do not exist by definition (e.g., BPD predicting MDD)

Others had too few cases for analysis (e.g., drug disorders predicting ADHD, as onset of ADHD occurs so much earlier than onset of drug abuse)

As a result, we had a total of 236 time-lagged associations to study

Page 28: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

91.5% of the 236 survival coefficients were positive

Page 29: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

91.5% of the 236 survival coefficients were positive 58.8% of the positive coefficients were statistically

significant at the .05 level (two-sided tests)

Page 30: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

91.5% of the 236 survival coefficients were positive 58.8% of the positive coefficients were statistically

significant at the .05 level (two-sided tests) None of the negative coefficients was statistically

significant

Page 31: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Survival analysis summary of results regarding marginal effects

91.5% of the 236 survival coefficients were positive 58.8% of the positive coefficients were statistically

significant at the .05 level (two-sided tests) None of the negative coefficients was statistically

significant The within-domain coefficients were generally larger

than the between-domain coefficients

Page 32: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Mean values (and percent statistically significant at the .05 level, two-sided test) of marginal effect survival coefficients within and between domains

Fear Distress Externalizing Substance Other

Fear 1.5 (83) 0.8 (44) 1.0 (75) 0.4 (0) 0.8 (75)

Distress 1.5 (75) 1.5 (84) 1.3 (67) 0.5 (17) 0.7 (63)

Externalizing 0.9 (33) 0.6 (33) 2.0 (100) 0.7 (67) 0.6 (50)

Substance 0.7 (29) 0.6 (17) 1.1 (40) 3.0 (100) 0.3 (25)

Other 1.3 (82) 0.4 (45) 1.0 (75) 0.4 (38) 0.5 (25)

Page 33: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Mean values (and percent statistically significant at the .05 level, two-sided test) of marginal effect survival coefficients within and between domains

Fear Distress Externalizing Substance Other

Fear 1.5 0.8 1.0 0.4 0.8

Distress 1.5 1.5 1.3 0.5 0.7

Externalizing 0.9 0.6 2.0 0.7 0.6

Substance 0.7 0.6 1.1 3.0 0.3

Other 1.3 0.4 1.0 0.4 0.5

Page 34: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Mean values of substantively significant odds-ratios within and between domains

Fear Distress Externalizing Substance Other

Fear 4.5 2.2 2.7 - 2.2

Distress 4.5 4.5 3.7 - 2.0

Externalizing 2.5 - 7.4 2.0 -

Substance 2.0 - 3.0 20.0 -

Other 3.7 - 2.7 - -

Page 35: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions

It is not entirely clear that it makes sense to speak of a single “domain” of disorders known as “anxiety disorders.” Distinct fear and distress domains clearly exist. The situation with OCD might be part of yet a third domain.

Page 36: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions

The Fear and Distress Disorders Association of America

Page 37: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions

FD2A2

Page 38: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions

It is not entirely clear that it makes sense to speak of a single “domain” of disorders known as “anxiety disorders.” Distinct fear and distress domains clearly exist. The situation with OCD might be part of yet a third domain.

Fear disorders are the most commonly occurring early-onset mental disorders.

Page 39: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions

It is not entirely clear that it makes sense to speak of a single “domain” of disorders known as “anxiety disorders.” Distinct fear and distress domains clearly exist. The situation with OCD might be part of yet a third domain.

Fear disorders are the most commonly occurring early-onset mental disorders.

Fear disorders have a very strong pattern of cumulation over time, with the onset of the first strongly predicting the subsequent onset of the second, the second predicting the third, and so forth.

Page 40: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

Fear disorders also strongly predict the subsequent onset of a wide range of other disorders, the main exception being substance disorders.

Page 41: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

Fear disorders also strongly predict the subsequent onset of a wide range of other disorders, the main exception being substance disorders.

Social and specific phobias are as important here as panic disorder. This is striking in light of the general perception that child-adolescent phobias are not very “important” in comparison to other commonly occurring early-onset disorders.

Page 42: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

Fear disorders also strongly predict the subsequent onset of a wide range of other disorders, the main exception being substance disorders.

Social and specific phobias are as important here as panic disorder. This is striking in light of the general perception that child-adolescent phobias are not very “important” in comparison to other commonly occurring early-onset disorders.

It’s not clear that these associations are causal.

Page 43: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

An impediment to addressing the causality issue is that early-onset fear disorders are under-treated.

Page 44: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

An impediment to addressing the causality issue is that early-onset fear disorders are under-treated.

We need effectiveness trials that evaluate the effects of timely detection and treatment of early-onset fear disorders on the subsequent onset of other mental disorders.

Page 45: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

Distress disorders, which include not only depression but also GAD and PTSD, typically have later ages of onset.

Page 46: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

Distress disorders, which include not only depression but also GAD and PTSD, typically have later ages of onset.

We know that distress disorders are seriously impairing in their own right and greatly increase the severity of comorbid disorders.

Page 47: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

Distress disorders, which include not only depression but also GAD and PTSD, typically have later ages of onset.

We know that distress disorders are seriously impairing in their own right and greatly increase the severity of comorbid disorders.

It is especially important in light of these other results that distress disorders are quite important in predicting the subsequent onset of diverse secondary disorders.

Page 48: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

As a result, distress disorders are usually highly comorbid. The vast majority of people with all major distress disorders have a history of other mental disorders.

Page 49: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

As a result, distress disorders are usually highly comorbid. The vast majority of people with all major distress disorders have a history of other mental disorders.

As with fear disorders, it’s difficult to know what causes what in comorbidities involving distress disorders.

Page 50: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

An added complication in sorting out causal priorities for distress disorders is that distress disorders have a very protracted risk window compared to fear disorders, as indicated by the wider IQR of the AOO distribution (close to 30 years for distress vs. 7-10 years for fear disorders).

Page 51: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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Conclusions (cont.)

An added complication in sorting out causal priorities for distress disorders is that distress disorders have a very protracted risk window compared to fear disorders, as indicated by the wider IQR of the AOO distribution (close to 30 years for distress vs. 7-10 years for fear disorders).

Because of this, prospects for getting insights into complex causal connections based on targeted intervention and follow-up are much greater for fear than distress disorders, making the intervention experiments noted above an especially important research agenda for the future.

Page 52: Ronald C. Kessler, Ph.D. Department of Health Care Policy Harvard Medical School March 6, 2008

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www.hcp.med.harvard.edu/ncs