gina vincent, ph.d., thomas grisso, ph.d., anna terry, b.a., & steve banks, ph.d
DESCRIPTION
Law and Psychiatry Program. MAYSIs Across the Nation: What do 70,000 Delinquents Tell Us About Youths’ Mental Health Symptoms?. Gina Vincent, Ph.D., Thomas Grisso, Ph.D., Anna Terry, B.A., & Steve Banks, Ph.D. University of Massachusetts Medical School - PowerPoint PPT PresentationTRANSCRIPT
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MAYSIs Across the Nation: What do 70,000 Delinquents Tell Us About Youths’ Mental Health
Symptoms?
Gina Vincent, Ph.D., Thomas Grisso, Ph.D.,
Anna Terry, B.A., & Steve Banks, Ph.D.
University of Massachusetts Medical SchoolSupported by William T. Grant Foundation
Law and Psychiatry Program
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Prevalence of MH Disorder in JJ Prevalence of MH Disorder in JJ (Teplin, 2002; Wasserman, 2002)(Teplin, 2002; Wasserman, 2002)
• Based on current studies conducted at a few JJ facilities, it seems
• 65% of JJ adolescents meet DSM criteria for at least one disorder (vs. 20% in general population)
• Rates of disorders vary by • Gender (higher for girls) • Race (highest for Whites and lowest for
Blacks)
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History of the MAYSI ProjectHistory of the MAYSI Project
Identified the need, developed the prototype
Field testing, norms, initial validation
Preparation for release
Released to JJ agencies, developed technical support office, National Youth Screening Assistance Project
Developed national norms and MAYSIWARE
Evaluation of impact of MH screening on MH services in JJ programs
Technical Assistance for MacArthur Foundation’s “Models for Change” Initiative
1994
1996
1998
2000-8
2002-5
2003-5
2006-8
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Used Statewide in Probation, Detention or Corrections In 38 States
AK
AL
ARAZ
CA CO
CT
DC
DE
FL
GA
HI
IA
ID
IL IN
KSKY
LA
MA
MD
ME
MI
MN
MO
MS
MT
NC
ND
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
RI
SC
SD
TN
TX
UT
VA
VT
WA
WI
WV
WY
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Purpose/Research QuestionsPurpose/Research Questions
• Develop national norms for the MAYSI-2• Are there differences between gender, age, and
racial groups in the reporting of psychological disturbance (as measured by the Massachusetts Youth Screening Instrument-2; MAYSI-2) among youth in the Juvenile Justice (JJ) System?
• Are these differences consistent (reliable, generalizable) across JJ systems nationwide?
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AK
AL
ARAZ
CACO
CT
DC
DE
FL
GA
HI
IA
ID
IL IN
KS
KY
LA
MA
MD
ME
MI
MN
MO
MS
MT
NC
ND
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
RI
SC
SD
TN
TX
UT
VA
VT
WA
WI
WV
WY
MAYSI-2 Use & Norm Study DonorsMAYSI-2 Use & Norm Study Donors
= Statewide MAYSI-2 User = Norm study donor
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MethodMethod
• We gathered archival MAYSI-2 records and demographic information from 283 JJ facilities located in 19 states
• Started With 155,835 youths
• Removed cases that were:
1) duplicates,
2) outside of the age range, or
3) from any community or treatment facility
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Final Sample (Final Sample (NN = 70,423) = 70,423)State % n State % n
Alaska 1.7 781 Missouri 3.6 1674
California 15.7 7293 Montana 0.6 297
Colorado 1.5 679 New Jersey 0.5 247
Georgia 11.6 5367 Ohio 6.5 3022
Iowa 1.5 687 Pennsylvania 29.6 13,718
Illinois 1 339 South Carol. 6.3 2912
Louisiana 5.4 2491 Texas 30.8 21,792
Mass 3.4 1586 Virginia 3.7 1711
Michigan 5.3 2007 Washington 6.0 2962
Minnesota 2.3 1050
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Final Sample (Final Sample (NN = 70,423) = 70,423)
• Gender: Boys - 78% Girls - 22%• Age (years):12-14 - 29% 15-17 - 71%• Ethnicity/Race:
Black- 33% Hispanic - 24% White - 39%
Asian – 1% AK Native/Amer Indian - >1%• Legal Status: Pre-adj - 77% Post-adj - 23%
• Time of MAYSI-2 Administration (hrs after intake):
First few hours - 56% =/> 48 hrs - 12%
Within 24 hrs - 32%
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MAYSI-2 DataMAYSI-2 Data Gathered Item Responses and Scale Scores
ALCOHOL / DRUG USE 8 itemsANGRY-IRRITABLE 9 itemsDEPRESSED-ANXIOUS 9 itemsSOMATIC COMPLAINTS 6 itemsSUICIDE IDEATION 5 itemsTHOUGHT DISTURBANCE (boys) 5 items
TRAUMATIC EXPERIENCES 5 items
• Caution Cutoffs: Most generalizable. Based on “clinically significant” scores from corresponding MACI and YSR scales of youth in the general population.
• Warning Cutoffs: Least generalizable. Compares juveniles to other juvenile offenders to identify the top 10% of the distribution of Massachusetts scores.
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Research QuestionResearch Question
• Are the national norms for each scale comparable to the original Massachusetts norms?
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Massachusetts vs National SampleMassachusetts vs National Sample % Above Caution Cut-Off% Above Caution Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
MA
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Massachusetts vs National SampleMassachusetts vs National Sample % Above Caution Cut-Off% Above Caution Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
MA
National
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Massachusetts vs National SampleMassachusetts vs National Sample% above Warning Cut-Off% above Warning Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
MA
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Massachusetts vs National SampleMassachusetts vs National Sample% above Warning Cut-Off% above Warning Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
MANational
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FindingsFindings
Massachusetts > National % youth above cutoffs % youth above cutoffs
• Alcohol/Drug Scale• Angry/Irritable Scale
Officially, decreased warning cutoff on Alc/Drug Scale from 7 to 6
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What Methods of Analysis Could What Methods of Analysis Could Be Used to Answer The Be Used to Answer The Following Questions?Following Questions?
• What are the differences between gender, age, and race groups in the reporting of clinically significant levels of symptoms?
• Where differences exist, were these differences consistent (homogenous) across all sites and across all possible interactions?
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Meta-analytic Procedures Meta-analytic Procedures Unit of Analysis – Site (JJ Facility) Separate Analyses for Each MAYSI-2 Clinical
Scale - TRAUMATIC EXPERIENCES not included Examined Odds of Scoring > Caution Cut-offs
Past research was done to determine clinically significant levels of disturbance.
Variables for Testing Interactions/Controls Gender Age Group (12-14, 15-17) Race (White, Black, Hispanic) Legal Status (pre vs. post-adjudication) Time of MAYSI-2 Administration
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Meta-analytic Procedures (cont.)Meta-analytic Procedures (cont.)
Cochran-Mantel-Haenszel (CMH)
Calculated Odds Ratios
ORs weighted for reliability
General Linear ModelingProduce Avg OR across all sites for each effect (Gender, etc)
I2 - Test Homogeneity of ORs
If No
Explain w/interactions?
If Yes
Consistent Effect
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Overall Gender Differences (Main Effects) Overall Gender Differences (Main Effects)
% Above “Clinical” Cut Off% Above “Clinical” Cut Off
0
5
10
15
20
25
30
35
40
Alc/Drug Anger Dep-Anx Somatic Suicide Thought
BOYS
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Overall Gender Differences (Main Effects) Overall Gender Differences (Main Effects)
% Above “Clinical” Cut Off% Above “Clinical” Cut Off
05
101520253035404550
Alc/Drug Anger Dep-Anx Somatic Suicide Thought
BOYS
GIRLS
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Are Gender Differences Consistent Are Gender Differences Consistent Across Sites & Demographics?Across Sites & Demographics?
• Mostly – girls at most all sites, on average, are more likely than boys to report clinically significant levels of symptoms on most MAYSI-2 scales
• Large Effects:• Suicide Ideation OR = 2.4
• Medium Effects:• Angry-Irritable OR = 1.8• Depressed-Anxious OR = 1.95 – 2.14• Somatic Complaints OR = 1.8
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When do Gender Differences Vary When do Gender Differences Vary Across Youths?Across Youths?
• Alcohol-Drug Scale – gender interacts w/age consistently across sites
• 12-14 year olds – girls > boys (OR=1.6)
• 15-17 year olds – no gender difference
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Overall Age Differences (Main Effects)Overall Age Differences (Main Effects)
% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
05
101520253035404550
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
15 to 17
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Overall Age Differences (Main Effects)Overall Age Differences (Main Effects)
% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
05
101520253035404550
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
12 to 14
15 to 17
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Are Age Differences Consistent Are Age Differences Consistent Across Sites & DemographicsAcross Sites & Demographics
• Mostly – at most all sites, there were no differences or only small differences between younger and older youths in reporting clinically significant levels of symptoms on most MAYSI-2 scales.
• Small Effects• Angry-Irritable OR = 1.3• Thought Disturbance OR = 1.2Younger youths > older youths
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When Do Age Differences VaryWhen Do Age Differences VaryAcross Youths?Across Youths?
• Alcohol-Drug Scale
Older youths > Younger youths OR = 1.7
• No appreciable age differences among girls
• No appreciable differences among youths in custody post-adjudication
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Overall Race Differences (Main Effects) Overall Race Differences (Main Effects) % Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
Alcohol-Drug Angry-irritable
Black
Hispanic
White
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Overall Race Differences (Main Effects) Overall Race Differences (Main Effects) % Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Alcohol-Drug Angry-irritable
Asian
Black
Hispanic
White
AK Native
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Overall Race Differences (Main Effects) Overall Race Differences (Main Effects)
% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Depressed-Anxious Somatic
Black
Hispanic
White
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Overall Race Differences (Main Effects) Overall Race Differences (Main Effects)
% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Depressed-Anxious Somatic
Asian
Black
Hispanic
White
AK Native
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Overall Race Differences (Main Effects) Overall Race Differences (Main Effects)
% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Suicide Ideation Thought Disorder (boys)
Black
Hispanic
White
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Overall Race Differences (Main Effects) Overall Race Differences (Main Effects)
% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Suicide Ideation Thought Disorder (boys)
Asian
Black
Hispanic
White
AK Native
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Are Racial Differences Consistent Are Racial Differences Consistent Across Sites & Demographics?Across Sites & Demographics?
• No. Whites, on average, were more likely to report clinically significant levels of symptoms than Blacks or Hispanics, but
• Results generally were not consistent across sites, and
• The Meta-analysis was unable to determine the source of the variability in most cases
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When Do Racial Differences VaryWhen Do Racial Differences VaryAcross Youths?Across Youths?
• Alcohol Drug Scale
• Whites > Blacks OR = 2.3 Large ES
• Hispanics > Blacks OR = 1.7 Medium ES• Variability in the magnitude of the odds ratios
between Whites & Blacks:
• Age (larger for older youths)
• Gate (larger for pre-adjudicated youths)
• State
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Site-Level Variables Site-Level Variables (% of cases)(% of cases)
• Gate: Probation - 36% Pretrial Detention - 42%
Corrections (post-adjudicated) - 22%
• Density: Urban - 78% Rural - 22%• Region: West - 17% Midwest - 44%
South - 17% Northeast - 22%
Test Administration• Staff:Non-professional - 70% Professional - 30%• Setting: Individual - 87% Group - 13%• Method: Voice CD - 28% Self-administer - 64%
Staff Administer - 8%
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Differences by GateDifferences by Gate% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
05
101520253035404550
Alc/Drug Anger Dep-Anx Somatic Suicide Thought(boys)
Probation
Detention
Corrections
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Differences by RegionDifferences by Region% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
05
101520253035404550
Alcohol-Drug Angry-Irritable Depressed-Anxious
Northeast
West
Midwest
South
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Differences by RegionDifferences by Region% Above “Clinical” Cut-Off% Above “Clinical” Cut-Off
0
5
10
15
20
25
30
35
40
45
50
Somatic Suicide Thought (boys)
Northeast
West
Midwest
South
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Advantages to the Meta-analytic Advantages to the Meta-analytic Approach for Norming TestsApproach for Norming Tests
• Provides the strength and consistency of “prevalence rate” differences across settings and youth characteristics (gender, race, etc.)
• Provides confidence in the generalizability of these findings across the population of interest
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ConclusionsConclusions
1. % of youths scoring above cut-off not substantially different between Massachusetts and National norms
2. Girls in JJ much more likely than boys to report clinically significant symptoms – generalizes across JJ sites
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ConclusionsConclusions
3. Wide variability in racial differences:
• White youths most likely to report problem levels of alcohol or drug use, but the disparity varies across the US
• White youths, on average, are consistently more likely than black youths to report suicide ideation
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Future ApplicationsFuture Applications
• Translating the results to improve juvenile justice programs’ understanding of mental health needs of girls and ethnic minority youths • Published a revision of MAYSI-2 manual for mental
health screening in juvenile justice
• Studying whether race differences are “true” differences or measurement bias…
Study in progress: Item Response Theory and Psychological Disturbance in Young Offenders (NIMH) (PI: Gina Vincent)