Prevalence
of Seasonal John
M. Booker,
Affective Ph.D.,
Disorder
in Alaska
J. Hellekson,
and Carla
M.D.
Objective: The goals of this study are to provide estimates of the prevalence of seasonal affective disorder in Alaska, to examine sociodemographic correlates, and to evaluate the relation between seasonal affective disorder and general depression. Method: A random sample of283 residents with the Seasonal
ofFairbanks who Pattern Assessment
Depression
(CES-D
Scale
criteria
for
seasonal
Scale).
affective
winter affective disorders prevalent among residents the CES-D Scale supported of seasonal
affective
Results:
disorder,
disorder
of depression in northern (AmJ Psychiatry 1992;
The
rise
of
darkness,
cold,
and
isolation
Twenty-six one
of the
from
next
-Dr.
other
depression.
Cook,
circa
then
drive
the mental
1897
(1, pp. 113,
115)
S
easonab changes in mood and energy have long been accepted as a feature of life in the far north, and Dr. Cook was one of the early medical observers who described such effects. With the introduction of the diagnosis of seasonal affective disorder (2, 3), questions about the incidence and prevalence of seasonal mental health problems have been raised. This study provides estimates of the prevalence of seasonal affective disorden in Alaska, examines sociodemographic correlates, and evaluates the relation between seasonal affective disorder and general depression.
BACKGROUND Seasonal affective disorder sonal pattern, in DSM-III-R)
Received
Sept.
Jan. 24, 1992.
8, 1989;
From
revision
the School
versity of Alaska Anchorage. son, Eastside Group Health, 98052. Copyright © I 992 American
1176
(major has been
received
of Nursing
Dec.
depression, characterized
30,
and Health
Address reprint requests 2700 152nd St., N.E., Psychiatric
of the figures
subjects
yet
met
reported.
diagnostic These
cyclic
Conclusions:
This
study
supports
the
communities. 149:1176-1182)
year.
Frederick
(9.2%) highest
or more were interviewed for Epidemiologic Studies
disorder is prevalent in northern populations and that sex risk factors that differentiate it from the general experience
on to melancholy . . . . The earliest effects become in the mental realm. The physical changes become slowly, often not at all until near the end or at sunthe
for 3 years the Center
occurred more often in women than men (ratio=3:2) and were less who were older than 40 years ofage. Assessment ofdepression with the diagnostic classification ofrespondents and the differentiation
conclusions that seasonal affective and age may represent the major
faculties manifest evident
had lived in Alaska Questionnaire and
Association.
1991;
seaby
accepted
Sciences, to Dr. Redmond,
UniHellekWA
onset during autumn of depressive symptoms with an atypical pattern, featuring hypersomnia, irritability, weight gain, and carbohydrate craving. Among clinical populations the syndrome is more common in women, in a ratio of about 4:1 (4), which is higher than the 2:1 ratio noted in depressive illness in general (5). Clinical histories of patients receiving phototherapy for seasonal affective disorder suggest that depressive episodes last longer the farther north the patients live (4). In a random mail survey of 400 New York City residents (6), seasonal symptoms were common among the 193 respondents. Wintertime fatigue was reported by 50%, winter weight gain by 47%, increased sleep by 42%, and decreased social activity by 31%; 31% of the respondents said they felt worse in the winter. Among the 383 subjects who responded to a telephone survey of 416 randomly chosen residents of Montgomery County, Md. (7), seasonal affective disorder was estimated at 4.3% (71% female) and subsyndromal seasonal affective disorder (milder complaints) at 13.5% (55% female). Clinical interviews with a 10% subsample of the respondents revealed that the designations of no seasonal affective disorder, subsyndromal seasonal affective disorder, and seasonal affective disorder were consistent with levels of depression measured with the Hamilton Rating Scale for Depression (8, 9). A random mail survey of 1,576 residents at four different latitudes in the United States (10) produced estimates for seasonal affective disorder ranging from 1.4%
sponse 60.5%.
in Sarasota,
rates
Fla.,
for
Am
the
]
to
four
Psychiatry
9.7%
sites
in Nashua,
ranged
1 49:9,
from
September
N.H.
40.1
Re-
% to
1992
JOHN
Clinical Alaska
studies
of
been
completed,
have
have
been
available
of 64#{176} north, sonal
contrasts.
Available
the depression.
42
is 21
opportune
relation
at winter minutes,
daylight
provides
to assess and
daylight and
available
This
disorder
in
no epidemiologic data 1 1 ). Fairbanks lies at a latitude an environment of extreme sea-
(4,
3 hours the
utes.
affective
but
presenting
approximately solstice
seasonal
hours
49
under
extreme
is
at summer and
conditions
between
solstice
but
mm-
seasonal
in
higher
changes
BOOKER
self-administered threshold
underestimating disorder. However, criteria
will
for
the
prevalence prevalence
Subjects
General depression was Center for Epidemiologic (CES-D Scale) (14). This
based
on
tered
from
tistage
standardized
or older) tion=75,000). military
bases,
on
nursing
Fairbanks, subjects
university
homes,
tion,
only
those
for
3 years
or
exposure
to
seasonal
pattern
(The
response
rate
were
respondents seasons of related
there to symptoms.
in the
of
86%
populaliving on
had
lived
to
ensure
establish The
interviews
interviewed subjects
310
(total were
of
years
within
included.
included
a mul-
(21
or
not
who
were
who participated of all respondents
Alaska who
to
estimates
based
on
tionnaire
the
two
back
original
360
calls represented
a
household
(12,
pendent validation
at the
13).
measures of the
of use in
more, prevalence tern Assessment by
(6, seasonality
feeling
and 4=extremely of scores was linked
with
combined
which
1=mild
and
fective
Am]
to group
disorder,
Psychiatry
and
inde-
Further-
Seasonal expected
in this
Patvan-
study
Seasonal changes
sleep
length,
social
of the
symptoms 4=disabling.
respondents
those
149:9,
activ-
and energy level. Each of these a S-point scale on which 0=no
assessment
those
severity two with
subsyndromal
September
potential scores of com-
a S-point
These into
with
on
1992
affective on both
over
been used its validity
populations
(16).
the
pre-
effectively has been The
self-ad-
shown to correlate Rating Scale for
Affective
scale items
Disorder
(used
by the
shown met
higher
(used analysis global
in table criteria
self-administered
seasonality
category
der
(table
on
tests)
score.
of the
seasonal
Fairbanks
affective
criteria for A chi-square
of subsyndromal
respon-
disorder
subsyndromal test of
proportions for the two classification significant (table 1), indicating that the two global seasonality score criteria limits of random variation. The higher to the bower global seasonality score the
assignment based
in telephone surveys) are will be based on groups
1, 9% for
19% met disorder.
in the
resulting Estimates
and
seasonal hypothesized
schemes was not estimates for the were within the rates according value came from
seasonal
affective
disor-
1).
was
Pattern Asin mood
marked change. The 0 to 24. Global seasonality
an
of the
used
rural
threshold
another affective
of Mental
(10). the the
used
on the regarding
of well-being),
appetite, rated on
plaints
on show
score
(overall
were
Ques-
7, 10).
from six questions Questionnaire
change range
studies based
symptoms
Scale has (15), and
ofSeasonal
higher
dents
have provided initial Pattern Assessment
epidemiologic
derived sessment
ity, weight, items was
interviews
estimates Questionnaire
latitude
global
Institute
clinical
depression of the Seasonal
disorder
Assessment
National
Follow-up
Questionnaire
The
depressive
CES-D studies
with
defined
affective
Pattern
the
measured with the 20-item Studies Depression Scale scale assesses the presence
Table I reviews the criteria and of the subjects to diagnostic groups. the
Disorder
seasonal
Seasonal
developed
Health
ation
of
of seasonal estimates based
CES-D Scale has been well with the Hamilton (14).
Prevalence
As Population
chose potentially
RESULTS
sufficient a repeated 283 subjects
after interviewed
Affective
We thus
in Alaska
91%
of Seasonal
(7).
analyses,
Depression
and the lower threshold presented. Subsequent
Measurement
were
General
of
The
demonstrated
hos-
contacts.) The
frequency
ministered moderately Depression
our
In addi-
represented
the
of
vious week. in cross-ethnic
adult
campuses,
etc.,
more the
(N=310).
of 283
and
adminis-
mid-March
sample
of Potential
affective dishealth survey
interviews
through
probability residents
of seasonal community
household
mid-January
area
pitals,
prevalence a larger
HELLEKSON
be compared.
Measurement
study of the was part of
J.
CARLA
surveys
value
METHOD
This order
AND
fective disorder, and those with no seasonal affective disorder (normal subjects). Differing threshold values for global seasonabity score have been used; a global seasonality score of 10 or more has been applied in some telephone surveys, but a global seasonality score of 1 1 or more has been used
which
M.
on were
seasonal
af-
seasonal
af-
Individual
Characteristics
Univaniate
comparisons
characteristics groups
are
of given
the
of subjects
in table
2. The
the in
sociodemographic the
three
proportion
diagnostic of women
in each group, although lower than that reported for clinical populations, was significantly higher in the groups of subjects with seasonal affective disorder and subsyndromal seasonal affective disorder than in the group
of normal
subjects.
No statistically significant differences ethnicity; the prevalence of seasonal
were affective
found for disorder
1177
SEASONAL
AFFECTIVE
TABLE
DISORDER
1. Prevalen cc of Seasonal Seasonal
Thresholda Higher
Lower
IN ALASKA
Affective
Disorder
Affective
Disorder
Criteriab threshold
Global score1 plaints
threshold
Global
seasonality I and cornrated 2
seasonality
score10 plaints
in 28 3 Residents
of Fairbanks, Subsyndromal Affective
N
%
26
9.2
28
Alaska,
Seasonal Disorder
Criteria1’ Global seasonality score1 1 and complaints rated
9.9
score10 plaints
No Seasonal Criteriab
54
19.1
Global severity score