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0145-600819812202-0325$03.00/0
ALCOHOLISM:
CLINICAL
AND EXPERIMENTAL
RESEARCH
Val. 22, No. 2
April 1998
A Fetal Alcohol Behavior Scale
Ann P. Streissguth, Fred L. Bookstein, Helen M . Barr, Shoshanna Press, and Paul D. Sampson
This research aimed to develop a Fetal Alcohol Behavior Scale
(FABS) that describes the behavioral essence of fetal alcohol syndrome (FAS) and fetal alcohol effects (FAE), regardless of age, race,
sex, and 10.Using a referencesample of 472 diagnosed patientswith
FAS or FAE, ages 2 to 51, five studies are described.The FABS demonstrates high item-to-scale reliability (Cronbach's (Y = 0.91) and
good test-retest reliability (r = 0.69) over an average interval of 5
years. It identifies many of the subjects with known or presumed
prenatal alcohol exposure in detection studies using both prison and
general samples. FABS scores also predict dependent living among
adult patients with FASIFAE. The FABS is uncorrelatedwith 10, sex,
age, race, and diagnosis (FAS versus FAE). We outline areas of further work to define the specificity and utility of this FABS.
Key Words: Fetal alcohol syndrome (FAS), Fetal alcohol effects,
Behavioralteratology,Alcohol-relatedneurodevelopmentaldisorder
(ARND), Behavior scale.
ETAL ALCOHOL syndrome (FAS) and fetal alcohol
effects (FAE) are important causes of developmental
disabilities in children and adults.'-7 However, because of
the subtle and variable nature of the defining physical and
central nervous system (CNS) characteristics and their
changes with age,879many children and adults with this
disability are never diagnosed and so are cut off from the
services and interventions that might help them. The goal
of this research is to construct a short, easy-to-administer
scale that will capture the behavioral essence of FAS and
FAE, regardless of age, race, sex, or IQ, and thus have
utility across various populations and across the life span.
The diagnosis of FAS has traditionally been based on
three types of criteria: growth deficiency apparent at birth;
a pattern of dysmorphic features primarily recognizable in
the face; and some manifestations of CNS dysfunction.1,8,10-15 As growth deficiency and CNS dysfunction
have many causes, the facial dysmorphology has historically
been the distinguishing feature linking this birth defect with
its prenatal alcohol etiology. The CNS dysfunction associ-
F
ated with FAS, while more prevalent as a prenatal alcohol
effect, has not been considered as specific or unique as the
facial dysmorphology. Since the mid-l970s, it has been
clear that the range of intellectual disabilities associated
with the FAS diagnosis was very broad16 and that no specific level of intellectual functioning could ever reasonably
serve as the distinguishing CNS characteristic for defining
FAS. Some children with FAS are mentally retarded, but
many are not. On the other hand, confining the concept of
alcohol-related birth defects to just those produced during
the specific phase of prenatal exposure necessary for producing facial dysmorphology seems overly restrictive in
light of recent
The term FAE (as well as PFAS and PFAE, terms used
for probable or possible FAS or FAE) has been used
historically for patients who have a history of prenatal
alcohol exposure and have some but not all of the characteristics of FAS.',22 Partial manifestations of a birth defects
syndrome are not unusual and, in the case of alcohol, a
large number of CNS characteristics have been linked to
prenatal alcohol exposure, both in animal studies and human st~dies.'~-'~
The Institute of Medicine's report on
FAS9 addressed this issue by suggesting a new term, alcohol-related neurodevelopmental disorder (ARND), to reflect the CNS component of fetal alcohol effects. The
ARND criteria include structural brain anomalies, decreased cranial size at birth, neurological hard and soft
signs, and/or evidence of a complex pattern of behavior or
cognitive abnormalities that are inconsistent with developmental level and cannot be explained by familial background or environment alone. Although general categories
of cognitive abnormalities (i.e., learning difficulties, problems with memory) and behavioral abnormality (i.e., poor
impulse control, poor judgment) were listed, no specific
criteria were suggested. Research from our laboratory has
revealed a wide variety of cognitive, neuropsychological,
and learning disabilities associated with prenatal alcohol
exposure in a long-term prospective epidemiological
~ t u d y . ~ We
~ - *have
~ recently clustered these into a performance-based neurodevelopmental framework for estimating the prevalence of FAE, including FAS and ARND.27
The studies described in the present paper are an attempt
to quantify the behavioral phenotype of fetal alcohol.
Clinically, individuals identified as either FAS or FAE
often share a similar behavioral profile.5328Despite the
wide range of primary disabilities that people with FAS and
FAE may manifest, their parents and caretakers often describe them in terms of some relatively characteristic be-
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From the Department of Psychiatiy and Behavioral Sciences (A.P.S.,
H.M.B., S.P.), University of Washington School of Medicine, Seattle, Washington;Institute of Gerontology (F.L.B.), University of Michigan, Ann Arbor,
Michigan; and the Department of Statistics (P.D.S.), University of Washington School of Arts and Sciences, Seattle, Washington.
Presented at the 1996 Borchard Foundation Symposium on the Behavioral
Effects in Children following Prenatal Alcohol Exposure, Missillac, France,
July 28-30, 1996.
This study was funded by the Centers for Disease Control (Grant R041
CCROO8515-01-04) and by the National Institute on Alcohol Abuse and
Alcoholism (Grant ROI-AA01455-01-22).
Reprint requests: Ann P. Streissguth, Ph.D., Department of Psychiatry and
Behavioral Sciences, University of Washington, School of Medicine, Box
359112, Seattle, WA 98195.
Copyright 0 1998 by The Research Society on Alcoholism.
Alcohol Clin Exp Res, Val 22, No 2, 1998: pp 325-333
325
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16
STREISSGUTH ET AL.
Table 1. Demographic Characteristics of the Five Study Samples
Demographic
characteristic
Age at evaluation
Reference sample
(n = 472)
Detection
study sample
(n = 81)
-
Normative sample
Test-retest
sample
Prediction study
sample
8’
8
14
7
0
0
7
63
(n = 186)
(n = 37)
(n = 70)
2-6
7-1 1
12-17
18-51
Sex
165
96
124
87
1
80
52
20
28
86
Male
Female
Ethnicity
White
Black
Native American
Other
Alcohol-related
diagnosis
FAS
271
201
81
0
96
85
21
16
36
34
273
31
129
37
76
3
2
0
125
17
4
34
24
2
11
0
45
4
20
1
169
303
-
-
27
10
43
27
FAE
* Age
-
at initial administration of the PBC
haviors. For example, “Talks a lot but says little; is chatty
but with shallow content.” “Makes ‘off the wall’ comments;
sometimes says things that seem completely out of context.” “Overreacts to situations; emotional responses are
often stronger than you would expect.” “Often demands
attention or monopolizes a conversation.” Such behavioral
descriptors by parents, which predated popular writings
about FAS, refer to characteristics that transcend scores on
performance tests, and as a group, do not seem characteristic of other childhood disorders.
Over the years, these behavioral descriptors were transcribed by Streissguth as they were used by parents and
caretakers to describe their children with FAS and FAE.
Those most frequently encountered were assembled into a
list of 68 short descriptors, which we called a “Personal
Behaviors Checklist” (PBC), that could be answered in a
yesho format by someone familiar with the child’s behavior. For many years, parents and caretakers of patients with
FASFAE associated with our Fetal Alcohol and Drug Unit
routinely filled out PBCs.
The purpose of this paper is to report a series of studies
conducted over a period of several years that used these
data more formally. First, we performed a Derivation Study
to condense this checklist into a scale that we called the
Fetal Alcohol Behavior Scale (FABS). Then, we conducted
a Detection Study to see whether this scale could be used to
detect people with FAS or FAE from among a deviant
subgroup of the population (i.e., those in prison). Then we
did a Normative Study to determine the sensitivity of this
scale for identifying children of mothers with alcohol problems from within a nonclient sample of parents. Next, we
performed a Test-Retest Study to evaluate the stability of
these items in describing an individual’s behavior over time.
Finally, we conducted a Prediction Study to see whether the
scale could have any value in predicting to dependent living
as an adult. Standard demographic descriptors for each of
these five samples are collected in Table 1. The five studies
are described herein.
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METHODS
A PBC was developed by Streissguth in the 1970s comprised of items
used by parents and caretakers to describe their children with FASPAE.
Items represented the following categories: communication and speech,
personal manner, emotions, motor skills and activities, social skills and
interactions, academic/work performance, and bodily and physiological
functions. A total of 472 patients who had previously been diagnosed as
FAS, PFAS, FAE, or PFAE by experienced dysmorphologists,were ultimately rated on the PBC by their parents or caretakers (see Table 1,
column 1, for demographic characteristics). These comprised the FAS/
FAE reference sample. Subsets of this reference sample were used for the
Derivation Study, the Test-Retest Study, and the Prediction Study.
The Derivation Study
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By 1994, PBCs were available on 134 patients under the age of 35 years.
These data were used for principal components analyses based on covariance matrices for each of the four age groups defined in Table 1. Individuals scoring high on the first principal component are considered to
reflect the behavioral essence of FAS and/or FAE. To define a scale less
than half the length of the PBC, we selected those PBC items having high
item-to-scale correlation for each of the four age groups. We defined a
26-item FABS by requiring minimum item-to-scale correlation of 0.32 or
better across the four age groups. By 1995, a larger, more representative
sample of PBCs for patients under the age of 35 years (n = 322) was
available, and a second principal components analysis was conducted,
resulting in a second scale with high item-to-scale validity (also 0.32).
These two scales correlated 0.92. The 36 items representing the union of
the items selected by these two analyses is referred to as the FABS.
The Detection Study
The Detection Study was conducted in late 1994, after the first principal components analysis of the Derivation Study had been performed. The
Detection Study was conducted in a special unit for developmentally
disabled, emotionally disturbed (nonpsychotic) male inmates within the
Washington State Prisons System. Eighty-one of these inmates met the
study criterion of having been known to the prison staff for at least 3
months and consented to participate. They are described in Table 1
(column 2). The respondents, two corrections officers, and a prison counselor filled out a single FABS on each of the 81 men by group consensus.
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FETAL ALCOHOL BEHAVIOR SCALE
impulsive
stubborn
unaware conseq
poor attention
cutel ixie ish
can’t Eke hint
incompl tasks
tantrums
too easily led
overreacts
mood sw)ngs
Sensitive
interrupts
poor judgement
center of attn
fearless
looses things
people oriented
overstimulated
very active
likeA%ZX
demands attentn
tries hard,but...
opinionated
out of context
overly friend1
sleeping prx
item attracted
superf.friends
hygiene prb
loves to climb
messy
touches freq
indistinct speech
chats,no content
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321
A
A
V
A
A
V
A
V
v’
A
A
A
A
V
V
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A
A
V
A
A
A
V
V
V
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A
Fig. 1. The 68 items on the PBC ranked according to
percent “yes“ responses by parenWinformants on 472
patients with FAS/FAE. For full text of the items, contact
the senior author.
poor manners
talks fast
not capable
canfhp;y?$?
dif’ty performing
seems brighter
dif‘ty learning
unusual topic
low self-esteem
toilet training
inappro lhome
inappropkutside
repeats often
noise sensitive
enjoys fixing
freq phrases
feeding prb
ioud,unus voice
vision prb
light sensitive
prb sex funct
flirts
hearing prb)
stomach aches
dry skin
unusual smell
bangs head
rocks
poor sch attnd
V
V
A
A
v
0%
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V
I
V
A
V
V
V
V
V
V
V
V
25%
i
Patients with FAS/FAE
(FAS/FAk reference sample, n=472)
! 36 items chosen for FABS A
32iitems not chosen for FABS v
50%
percent ‘yes’
75%
Information on whether or not each inmate had a biological mother with
alcohol problems was obtained independently from questionnaires filled
out by the inmates themselves.
The Normative Study
The Normative Study of the FABS was conducted among parents in a
general practice waiting room at the University of Washington Medical
Center in 1995 after the second principal components analysis was completed.” While waiting to be called for their appointments, all consenting
adults who had children of any age (n = 186) were asked to fill out a
questionnaire regarding one of their children selected randomly by Shoshonna Press (see Table 1, column 3). Average time to complete the
questionnaire (the FABS and a few demographic questions) was approximately 5 min. In this normative sample, Cronbach’s coefficient a was
equal to 0.89, indicating satisfactorilyhigh item-to-scalereliabilit~.~’
If one
were to divide the FABS scale into two subscales in all possible ways, this
value of 0.89 is a weighted average of all the correlations between the
scores on the two halves.
100%
The Test-Retest Reliability Study
There were 41 patients in the FAS/FAE reference sample of 472 who
had had two PBCs filled out at two different ages by the same respondent.
The 37 patients with at least a 1-year interval between the two FABS
scores comprised the sample for the Test-Retest Study. Mean age at the
first PBC was 13.4 years; at the second, 18.7 years (see Table 1,column 4).
The Prediction Study
The Prediction Study conducted in 1997 included a subset of 70 adults
with FASFAE from the FASPAE reference sample who had previously
had a PBC and later had a Life History Interview (LHI) administered to
a caretaker, spouse, or informant in 1996 at least 1 year after the PBC?l
Of particular interest to this FABS study was a summaly score on the LHI
called Dependent Living, indicating that the adult with FASPAE was
unable to live independentl~.~~
Mean age of patients in the Prediction
Study at the time of evaluation for Dependent Living on the LHI was 28.1
years.
328
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STREISSGUTH ET AL.
overreacts
chats.no content
unusual topic
demands attentn
unaware conseq
incomplete tasks
inapproploutside
likes to talk
interrupts
center of attn
touches freq
can’t ia team
canfta{e hint
sleeping prb
poor manners
overstimulated
out of context
klutz
hygiene prg
phys loving
repeats often
messy
talks fast
inapgrophome
supe icial friend
fidgety
poor jud ement
dif’ty per8orming
loud,unus voice
overly friendly
loses things
noise sensitv
mood swings
poor attention
prb sex funct
tries hard but... ...
freq phases
fearless
item attracted
flirts
too easily led
indistinct speech
tantrums
opinionated
stomach aches
light sensitive
impulsive
low self-esteem
toilet training
not capable
ve active
gubborn
people oriented
seems
&; :b
loves to climb
unusual smell
dif‘ty learning
rocks
hearing prb
dry skin
cutelpixyjsh
sensitive
bangs head
poor sch attnd
vision prb
enjoys fixin
feeding prg
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
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A
A
A
Fig. 2. The same 68 items on the PBC as in Fig. 1,
ranked according to their item-to-scale correlations.
The correlation plotted is the maximum (across the two
derivation analyses, n = 134 and 322, respectively) of
the minimum item-to-scale correlation over the four
age groups of Table 1.
v
V
V
n
V
V
V
V
V
V
V
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V
V
V
V
Patients with FASIFAE
(two derivation samples, n=l34/322)
36 items chosen for FABS A
32 items not chosen for FABS v
V
V
V
V
V
V
V
V
V
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0
0.2
0.4
0.6
item-to-scale correlation
RESULTS
ing to their item-to-scale correlations. These range from
“Overreacts
. . .,” with an item-to-scale correlation of 0.58,
Deriving the FABS from the PBC Items
down to “Tries hard, but . . .,” with an item-to-scale correFigure 1 ranks the frequency with which each of the 68 lation of 0.32. Items in Figs. 1 and 2 with open triangles did
items in the PBC was endorsed by the 472 parentdcaretaknot meet this criterion. Cronbach’s coefficient ly30 was
ers in describing an individual with F A S F M . “Impulsive”
equal to 0.91 in the Derivation Study sample of 322, indiand “stubborn” at the top are the two most frequently
cating high item-to-scale reliability in the FABS.
endorsed items at over 85%. “Poor school attendance” and
“Scree plots” (not shown) indicate that there is only one
“rocks rhythmically” are the least frequently endorsed
main
principal component of the items contributing to the
items at under 20%. But, we did not specifically select items
FABS
in any of the four age groups. The item frequencies
for the FABS because of having a high frequency. In fact,
are
sufficiently
close to 50% that we can replace the score
those selected have frequencies between 29% and 79%.
on
this
first
principal
component by a simple sum of “yes’
The black triangles in Figs. 1 and 2 represent those items
responses
to
the
FABS
items, which yields the FABS sumselected for the FABS from the PBC according to their
item-to-scale correlations in the principal components for mary score.
Figure 3 shows that the FABS score computed in this way
each of the four age blocks examined. Figure 2 presents the
same 68 items as Fig. 1, but here they are ordered accord- is independent of not only the patients’ ages, but also IQ,
FETAL ALCOHOL BEHAVIOR SCALE
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Relationship of FABS
to other common
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40 60 80 100 120 140
Full Scale IQ
age at FABS evaluation (years)
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male
n= 273 129 31 39
Wh NAm BI 0th
female
Sex of Client
Total
Race
472
FAS
Total
FAE
Alc-related Diagnosis Total
Fig. 3. Relationship of the FABS to age, IQ, sex, race, and FAS versus FAE. The box in a boxplot spans the middle half of the FABS scores from the 25th to 75th
percentiles. The dark horizontal line within a box indicates the median FABS score. The whiskers extending vertically from each box reach to the lowest and highest
FABS. The open boxes on the lower and upper whiskers indicate the 10th and 90th percentiles respectively. Wh, White; NAm, Native American; El, Black oth, other:
Alc, alcohol.
sex, race, and diagnosis (FAS or FAE). Thus, no adjust- were on inmates who themselves had independently rements of the FABS summary score are needed for any of ported having mothers with alcohol problems.
these potential confounds. In the FAS/FAE reference sample, individual patients' FABS scores ranged from 0 to 36
Using the FABS to Detect Children with Alcoholic Mothers
(Fig. 4). The mean FABS score in this sample of 472
fiom Among a Group of Parents
patients with FAS/FAE is 20.3; the median 21.0. Seven
The boxplots in Fig. 6 show fairly impressive separation
percent of the sample had a score of 6 or less.
In the Detection Study and the Normative Study (see of the FABS scores of the FASFAE reference sample from
herein), the FABS scores of this reference sample of 472 the FABS scores of the Normative Study sample. The mean
patients with FASFAE are compared with other populations FABS score in the Normative Study sample is 6.6 (on the
to see whether individuals with heavy prenatal alcohol expo- 1995 35-item FABS). About 80% of the FABS scores of the
sure can be detected among them. Because of the historical reference sample fall below a score of 11 or 12, whereas
development of the FABS, there are different numbers of about 80% of the FASFAE patients in the FASFAE
items in the FABS for the 1994 Detection Study (Fig. 5 ) and reference sample have a FABS score above 11 or 12. Only
about one-third as many items are endorsed in the Normathe 1995 Normative Study (Fig. 6).
tive Study, compared with those in the Derivation Study. As
Fig. 6 shows, having a father with alcohol problems did not
Using the FABS to Detect Men with Alcoholic Mothers
affect FABS scores in the Normative Study. However, havfrom Among Prison Inmates
ing a mother with alcohol problems raised the FABS scores
The boxplots in Fig. 5 show fairly impressive separation to a range substantially overlapping that of the Derivation
of the FABS scores on the reference sample of 472 patients Study patients with FAS/FAE.
with FASFAE from the FABS scores of the inmates in the
Detection Study. We find that 85% of the inmates have
FABS scores below 6 or 7, whereas 85% of the FASFAE Demonstrating the Reliability of the FABS Score Over Time
patients have FABS scores above 6 or 7 (on the 1994
For the 37 patients in the Test-Retest Study, FABS
26-item FABS). Three of the four highest FABS scores as scores were correlated at 0.69 over an average duration of
filled out by the corrections officers in the Detection Study 5.0 years (range: 1.5 to 9.4). The mean discrepancy between
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330
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STREISSGUTH ET AL.
100%
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.
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75%
4-
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0%
12
0
Fig. 4. Cumulative frequency distribution of FABS scores for the
FAS/FAE reference sample (n = 472). Determination of the median
score'' is indicated by the dashed lines from this plot.
.
.
..
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21
24
36
(median)
The 1996 36-item FABS
(data from FAS/FAE reference sample, N=472)
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than 9 points higher (on the 1996 36-item FABS). The
correlation of 0.69 is a more appropriate estimate of reliability than the Cronbach a, because it incorporates instability over time in the implicit criteria being used by the
caretaker and in the patient's own behavioral lability. Examination of a scatterplot showing the change in FABS
score by duration of testhetest interval revealed no systematic trends over time.
Using the FABS Scores to Predict Dependent Living in
Adults with FASIFAE
FAS/FAE
reference
Detection Study Sample
Patients with high FABS scores are much more likely to
sample
still
be living dependently as adults (Fig. 8). The median
Fig. 5. Boxplots comparing the FAS/FAE FABS scores from the FAS/FAE
score
on the 1996 36-item FABS for the 60 adults with
reference sample (n = 472) with the FABS scores of prlson inmates in the
Detection Study (n = 81). Additional boxplots break out the inmate sample
FAS/FAE living dependently is 21.5, compared with 8.5 for
according to inmate's report of whether or not the inmate thought his biological
those not living dependently (n = 10). The mean age of the
mother had an alcohol problem. Individualscores are represented by dots to the
Prediction Study sample at the administration of the FABS
right of the boxplot, for offspring whose biological mothers had alcohol problems.
Note that the boxplot data for the FAS/FAE reference sample are based on the
was 24.8 years (range: 12.6 to 43.0 years). The mean age at
same 26 items used with the inmates for the Detection Study.
the LHI administration was 28.1 years (range: 21 to 50
years). The mean duration between FABS and LHI was 3.3
FABS 1 and FABS 2 was only about 1.5 points. As Fig. 7 years (range: 1.1 year to 12.3 years). The mean duration
shows, only three patients had scores more than 9 points between the FABS and the LHI was not different for
lower on retest, whereas only two patients had FABS more patients who were and were not classified as living depenn=
472
81
Total
13
44
24
Yes
no
unkn
Biologic Mother Had Alcohol Problems
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FETAL ALCOHOL BEHAVIOR SCALE
331
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(I)
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2
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30
25
Fig. 6. Boxplots comparing the FABS scores of the FAS/FAE
reference sample (n = 472) with the FABS scores on children in
the Normative Study (fl = 186). Additional boxplots show the
Normative Study sample broken out according to respondent’s
report of alcohol problems for the target child’s biological parents. The individual scores for the two smallest groups (“mother” and “no info” are shown with dots. Note that the boxplot
data for the FAS/FAE reference sample are based on the same
35 items used with the parents for the Normative Study. The
35-item FABS differs from the 36-item FABS because of a
clerical omission.
.-2 20
d
0
m 15
In
m
;10
c
I-
5
0
n=
472
186
Total
FASIFAE
reference
sample
13
mother
27
138
8
father
neither
no
only
parent
info
Biologic Parents Had Alcohol Problems
Normative
Study
Sample
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mean FABS at older age = 20.0 k 8.6
mean FABS at younger age = 21.5 f 9.3
correlation r = 0.69
Fig. 7. FABS scores at two different ages for the 37 patients
who had PBCs filled out by the same respondent after at least
a 1-year interval. These data are from the 1996 36-item FABS.
unkn, Unknown.
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9
18
36
27
The 1996 36-item FABS at younger age (Test 1)
dently as adults. Dependent living as an adult is one of the
severe long-term consequences of FAS.31,32
DISCUSSION
The FABS emerging from this series of studies is a
36-item scale in a yes/no format. The FABS score is a
simple count of yes responses. It is not self-administered,
but rather is filled out by a person or caretaker who knows
the patient well or by the consensus of a group who collectively know the patient’s behavior well, each from different
standpoints. The FABS score has adequate test-retest reliability and is uncorrelated with age, sex, race, IQ, and
alcohol-related diagnosis, so has maximum usefulness
across various groups from age 2 up through age 35. Because FAS was only identified as such in 1973, there are not
presently enough geriatric patients available for study.
The behavioral phenotype reflected in the FABS score is
332
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STREISSGUTH ET AL.
FABS in a research context. Further study is needed to
clarify its utility in a clinical or screening context. Instruments like the FABS should not be used clinically (i.e., for
diagnostic purposes) without additional evidence of prenatal alcohol exposure. Additional studies are needed to determine the specificity of this behavioral phenotype to alcohol teratogenesis, to evaluate contemporaneous
interrater reliability, and to ascertain the conditions under
which it would be a useful tool. Studies comparing FABS
scores of individuals with FAS/FAE compared with patient
groups with other developmental disabilities (e.g., Down’s
syndrome), to those with high behavioral problems scores
on the CBCL, and to more children of alcoholic fathers
versus alcoholic mothers will further elucidate the extent to
which the FABS succeeds in capturing the specific behavioral essence of FAE and alcohol-related neurodevelopmental disabilities.
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n=
10
no
60
yes
Dependent Living
Boxplots comparing FABS scores for adults with FAS/FAE who are
living dependently (n = 60) or not living dependently (n = 10).These data are from
the 1996 36-item FABS.
Fig. 8.
not characteristic of the normative sample as rated by their
parents nor of the group of prison inmates as rated by the
corrections staff. In both groups, those individuals thought
to have had a biological mother with alcohol problems had
scores more often in the range of FAS/FAE patients.
FABS scores appear to be correlated with maternal alcohol problems, but not with paternal alcohol problems
(Fig. 6). Thus, the FABS appears to reflect the behavioral
phenotype of fetal alcohol fairly specifically rather than the
behavioral consequences of being raised in an alcoholic
family. This does not appear to be a “children of alcoholics”
finding.
In the FASiFAE reference sample (Table S), additional
psychometric data were available for approximately 400
subjects. The FABS is almost perfectly uncorrelated with
IQ (Verbal IQ X FABS, r = -0.03; Performance IQ X
FABS, r = -0.05), as well as uncorrelated with age, sex,
and race (Fig. 3 ) . The FABS correlates negligibly with
achievement scores (Wide Range Achievement Test-Revised; Reading: X FABS, r = -0.05; Spelling: r = -0.15;
and Arithmetic: r = -0.16). The FABS correlates moderately (r = -0.36) with the Vineland Adaptive Behavior
Composite (VABS) and at magnitudes near 0.6 with certain subscales of the Child Behavior Checklist (CBCL),
namely, Social (r = -0.61), Attention (Y = -0.63), and
Total Problems (r = -0.63). These latter findings are not
surprising, because previous studies have shown that patients with FAS/FAE have elevated scores on the CBCL
and depressed scores on the VABS:,32,33 scores reflecting
the general level of behavioral problems and adaptive living
problems characteristic of individuals with FAS/FAE. One
advantage of the FABS is its brief administration time.
All of the respondents in these five studies filled out the
ACKNOWLEDGMENTS
The authors thank Sterling K. Clarren, M.D., John M. Graham,
M.D., James H. Hanson, M.D., David F. Smith, M.D., Kenneth
Lyons Jones, M.D., and the late David W. Smith, M.D., for
diagnostic assessments of patients; Robert Jones, Ph.D., for facilitating the Detection Study; and Alan Ellsworth, Pharm.D, for
facilitating the Normative Study. The technical assistance of
Karen Kopera-Frye, Julia Kogan, and Kaylin Anderson, and the
assistance of John Anzinger and Kristi Cove11 in manuscript preparation are gratefully acknowledged.
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