Alcohol intake in relation to diet and obesity in women and men13 Graham A Colditz, Edward Giovannucci, Eric B Rimm, Frank E Speizer, Enoch Gordis, and Walter C Willett We studied
ABSTRACT body
mass
in two
index,
cohort
and
studies.
r
decreased
from
1 53
drinking
25.0-49.9
intake
was
due
=
between
in 89 538
Total
(partial
sumption
relations
diet
energy
50 g alcohol/d).
J Stampfer,
48 493
and carbohydrate intake to 13 1 g/d in women
0.001),
g alcohol/d.
alcohol
women
Meir
reports interval.
to the follow-up
ofthis
validity
that
of diagnoses In
1980
a
mailing.
instrument
The participants Introduction
women 1980
and
The relation between light-to-moderate alcohol consumption and body mass index is of interest because alcohol and obesity are both related to risk of important diseases [eg, breast cancer
skin
cancer
(1) and
intakes.
coronary
heart
disease
sociated with altered patterns in the substitution of alcohol
(2)J.
Alcohol
of nutrient for other
intake
intake nutrients.
may
be as-
habits
may have different that these preferences
dietary may
studies,
alcohol
consumption
preferences than alter their dietary
was inversely
related
to body mass index in women (3, 5, 6, 8) but this relation has been less consistently observed in men (5, 8). In several studies, lower intake of carbohydrate was associated with increased alcohol intake (3-5). Most studies that addressed these relations between alcohol intake and specific components of diet have relied on 24-h recall for the assessment of diet (3, 5, 6) and alcohol intake (6), although some studies have used 7-d recall Am
J C/in Nuir
1991;54:49-55.
Printed
in USA.
incomplete
were (1).
who
free
Excluded
returned responses
The protocol
from
cancer,
from the food
or who
this
other
frequency
had
for the Nurses’
than
nonmelanoma
are the 5% of questionnaire with high or low food Study was approved
population
implausibly
Health
Alternatively,
(7).
In previous
women
who
(3, 4), resulting
energy from alcohol may add to that obtained from food sources (5, 6). It has been proposed that men and women who regularly
consume alcohol nondrinkers and
included in the present analysis are the 89 538 responded to the food frequency questionnaire in
who
© 1991 American
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Society
I From the Channing Laboratory, Department ofMedicine, Brigham and Women’s Hospital and Harvard Medical School, Boston; the Departments of Epidemiology and Nutrition, Harvard School of Public Health, Boston; and the National Institute on Alcohol Abuse and Al. coholism, Bethesda, MD. 2 Supported by a contract from the National Institute on Alcohol Abuse and Alcoholism; grants CA90356, HL35464, and DK36798 from the National Institutes ofHealth; and the National Institute of Environmental Health Services Research Award 5T32 E507069 from the Harvard School of Public Health (EBR). 3 Address reprint requests to GA Colditz, Channing Laboratory, 180 Longwood Avenue, Boston, MA 02115-5899. Receivediuly5, 1990. Accepted for publication October 4, 1990.
for Clinical
Nutrition
49
50
COLDITZ
by the
Committee
Research
for
Risks
1986
Health when
responded
40-75
y ofsix
podiatrists,
(1 5, 16). This
was longer
Nurses’
Health
Study
for 48 493 men the
and
that
population
and
osteo-
was
weight
used
were
in the
on
recorded
on the baseline
umented
the
substudies
validity
available
in 1986. These
analysis.
The
men
protocol
and
for each
of self-reported
for
weight
to validate
and
height
study.
was
We doc-
in participants
quantify
in
the responses
to
questionnaires. The self-reported weight is with technician-measured weight in both r = 0.97) and men (Pearson r = 0.97) (17).
women (Pearson The self-reported weight and the technician-measured the corresponding
We used
questionnaire
questionnaires
undertaken
the food frequency highly correlated
in women was 65.4 ± 13.3 kg (1 ± SD) weight was 67. 1 ± 12. 1 kg. In men
values
were
Index
(body
Quetelet’s
(in kg) divided
each
79.3
± 10.8
and
index)
mass
by the square
of height
80.4
Alcohol
intake
was recorded
Possible point
over glass),
calculated
as weight
(m) as a measure
of adi-
for frequency
that
from
ranged
to grams
ofalcohol
g ethanol,
one
of liquor
measure
ofwine
(45
search
dietitian
consumed. periods
records
l-wk and
food
responses
related
with
records
(r
for
the intake =
Study,
frequency
questionnaire
were
13.2
and
one
validity
of this
elsewhere
trained
the recording
records
ofall
intake
between
questionnaire.
wine,
of specific
and
0.83
for
the correlation was
liquor
beverages
were
wine,
and Health
diet intake records
The
ques-
highly
as noted
in the
between 0.86
foods
were completed
correlation
frequency
beer,
0.80
cor-
in the diet for
liquor)
Professionals
diet records
and food
(18).
Total energy intake was calculated as the sum ofenergy fat, protein, carbohydrate, and alcohol. We also calculated energy
from
food,
trients
were
derived
ie, excluding from
the
(1,
by a re-
for total alcohol was 9.0 g/d from diet
of 130 participants
Follow-up
The
=
questionnaire
0.8 1 for beer,
(1 1). In a sample
and
1 y. The
was 0.90. The mean alcohol and 9.0 g/d from the food tionnaire
drinks
mL)
in detail
Weighed-diet
frequency
on a 9-
10.8 g ethanol,
=
Participants
during
were
We converted
was recorded as part of the questionnaire in 173 participants
in the use ofscales
for four
of intake
beer(360
was reported
Study.
and beverages
one
mL)
consumption frequency
Health
beverage
6/d.
15. 1 g ethanol.
=
intake
18). Briefly, alcohol validation ofthe food Nurses’
to
(120
mL)
of alcohol
in the
of each
never
per day as follows:
glass
frequency
preceding year: beer (one bottle or liquor, eg, whiskey, gin (one drink).
responses scale
drink
as the average
the and
energy responses
to
about
from
alcohol.
to the
food
in 1980 for women in the for the Health Professionals
past, and never; 1- 14, 1 5-24, and
sumption
and
each
level
body
mass
higher
intakes
index,
Because
cigarette
never
by
using
intake, regression
Because
of the cohorts
are adjusted with
the
differ,
to the mean
index
mass
50 y of age
for
energy
0.5 to all scores.
models
for men
estimated
age,
scores were skewed toward variables in our com-
distributions
45 y of age with a body and
were for
smoking,
we added
index
mass
regression
for women
nutrients
adjusted
nutrient-intake we used lo&-transformed
ofthese
who
and
for saccharin,
age and body
smoked
intake,
most
values,
putations; results
of various
of alcohol
age, cigarette women and both alcohol correlations candy con-
the
values
of 23 who never
a body
mass
index
of 25
smoked.
Results
± 1 1.7 kg.
posity. of each beverage can), wine (one
added
was asked
We explored the cross-sectional relations between smoking, body mass index, and alcohol intake in men. Because cigarette smoking is correlated with intake and with body mass index, we report partial adjusted for age and cigarette smoking. Sugar and
models.
recorded
of sugar
which
Analysis
measures was
of teaspoons
tea, cereal),
25 cigarettes/d.
Health.
Weight
number
coffee,
33%
the Health Professionals Follow-up Study was approved by the Human Subjects Committee of the Harvard School of Public
Exposure
the
Cigarette smoking was ascertained Nurses’ Health Study and in 1986
a detailed
the one
data
current
and
(including
Follow-up Study and was defined as current, current smokers were categorized as smoking
(dentists, and
included
than
dietary
for the
in
study of diet and health. ofthe dietary questionnaire,
Height
provided
established
at enrollment
detailed
in 1980.
who
was professions
response
more
questionnaire
food daily
optometrists,
invited into this long-term ofthe continued refinement
form
form
aged
for
Hospital.
Study
to a questionnaire
ofdiet
of those Because this
men
Subjects
AL
separately.
Follow-up
pharmacists,
assessment
Women’s
Study
Follow-up
51 529
of Human
and
Professionals
veterinarians, paths)
Protection
Brigham
Health Professionals The
the
of the
ET
from total
Other frequency
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nu-
Age
In women we observed little relation between age and alcohol intake although there was a slight trend for older women to drink
25 g/d.
Overall,
32%
of women
were
abstainers,
consumed 0.01-4.9 g alcohol/d, 20% consumed 7% consumed 1 5.0-24.9 g/d, and 6% consumed
(Table I). In men, heavier alcohol age up to 65 y, and then decreased. of abstinence
was
relatively
consumption In contrast,
constant
up
34%
5.0-14.4 25.0-49.9
g/d, g/d
increased with the prevalence
to age
65 y and
then
increased. Cigarette
smoking
We observed smokers
a strong
between
the
relation amount
of
in women
who
alcohol
consumed
were
current and
the
P < 0.001). After adjusting for age and alcohol intake, the partial correlation for cigarette smoking and body mass index was -0.08, P < 0.001. Women smoking 15-24 cigarettes/d, for example, had a signifnumber
icantly
of cigarettes
lower
smoked
body
mass
(Spearman
index
that
r
was
=
0.21,
0.7
less
than
never
smokers after adjusting for age and alcohol intake. Only 10% of men in this study currently smoked cigarettes. Among the current smokers, alcohol intake was only slightly positively related to number of cigarettes smoked (Spearman r = 0.03, P = 0.05), and body mass index was also slightly positively related to number of cigarettes smoked (Spearman r = 0.04, P = 0.03). Men smoking 15-24 cigarettes/d, for example, had a body mass index that
was 0. 1 3 less than
alcohol
intake.
Mean
alcohol
intake,
varied
smoked
per
day
within
never
smokers
body
mass
little
after index,
by categories current
smokers.
adjusting adjusted ofnumber Past
for age and for
age
and
of cigarettes smokers
had
a
ALCOHOL TABLE Number
AND
OBESITY
I
of part icipants
(and
percent
f age group),
by alcoh ol intake
and age in 89 538 United Daily
Age
0 g/d
Women 34-39y 40-44 45-49 50-54 55-59 Men 40-44 45-49 50-54 55-59 60-64 65-69 70-75y
mean
y y y y
g/d
5.0-14.9
2452 (23.5) 1624 (22.9) 1657 (22.7) 1668 (22.9) 1685 (23.3) 1469 (26.2) 964(27.1)
2837 (27.2) 1833 (25.9) 1754 (24.1) 1602 (22.0) 1551 (21.4) 1288 (23.0) 836(23.5)
2848 (27.3) 1859 (26.3) 1890 (25.9) 1913 (26.3) 1896 (26.2) 1306 (23.3) 789(22.2)
1 157 (1 1.1) 822 (1 1.6) 898 (1 1.3) 937 (12.9) 881 (12.2) 661 (1 1.8) 408(11.5)
index
slightly
greater
than
that
of
never
in abstainers
index
age and
cigarette
relation was
between
observed
smoking,
index.
In men,
=
to 25.9
body
index
varied
mass for
There
little
was
a
level of in body
across
levels
-0.01, P = 0.01). The mean body men who drank only beer and for
for men
for men consuming index rose slightly from
drinking
only 25.5
Total in women
intake energy (partial
kJ/d,
whereas intake
50 g/d
115 124 169 166 124
women
g alcohol/d 50 g/d
had had
kJ/d,
=
(0.7) (0.9) (0.9) (1.0)
25.0-
and
of 8412.4 relation
intake (partial r in abstainers was
alcohol intake
(0.5)
274 (2.4) 221 (3.1) 271 (3.7) 300 (4.1) 295 (4.1) 205 (3.7) 129(3.6)
consuming
of 7035.8
50 g/d had a mean intake an even more pronounced
women
Id. In men, of increased
0. 19, P < 0.001). 7575.6 kJ/d. Men
a mean a mean
intake intake
of 8583.1 of 9821.5
kJ/d. When we examined energy intake without the contribution ofalcohol, we observed a small inverse relation between alcohol intake and energy intake in women but not in men (Fig 2). As with body mass index, there was a suggestion in women of a U-shaped distribution. cohol decreased with
In women, higher alcohol
energy intake
intake excluding alfrom 6276 Id in non-
drinkers to 5938.4 Id in women consuming 25.0-49.9 g/d, but then increased to 636 1 LI for women consuming > 50 g (overall r
P
-0.03,
=
association Energy
g/d
908 (8.7) 724 (10.2) 824 (1 1.3) 852 (1 1.7) 926 (12.8) 675 (12.0) 426(12.0)
a mean
consuming 25.0-49.9 U and men consuming
partial
50 g ethanol/d.
25.0-49.9
977(4.4) 1230 (8.7) 1297 (7.0) 1340 (7.4) 879 (7.3)
6276 had
energy intake with The mean energy
among
adjustment
0.001).