Atherosclerosis and Lipoproteins |
From the Research Institute of Public Health and the Department of Public Health and General Practice, University of Kuopio, Finland (J.K., R.S., J.T.S.); the Department of Epidemiology, University of Michigan at Ann Arbor (G.A.K); and the Human Population Laboratory, Berkeley, Calif (D.E.G.).
Correspondence to Jussi Kauhanen, MD, PhD, Department of Public Health and General Practice, University of Kuopio, POB 1627, SF-70211 Kuopio, Finland. E-mail jussi.kauhanen{at}uku.fi
| Abstract |
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Key Words: alcohol atherosclerosis cardiovascular epidemiology
| Introduction |
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Advances in ultrasonographic assessment of carotid arteries have provided opportunities to noninvasively study the pathophysiological processes that underlie the development of cardiovascular disease.5 6 Although carotid atherosclerosis is only an indirect marker of coronary disease, it has been shown to predict the incidence of myocardial infarction.7 Results from studies looking at the association between alcohol and atherosclerotic disease have been somewhat incongruent. The cross-sectional observations in the ARIC study8 did not show significant association between current alcohol intake and carotid atherosclerosis. Conversely, the ultrasound findings in a subsample of the Bruneck Study9 suggested that the relationship between alcohol use and carotid atherosclerosis may indeed be U-shaped, and the adverse and beneficial effects of alcohol in cardiovascular diseases may in part mediate the atherogenic processes.
Most etiological studies have used total consumption or assumed average intake of alcohol per unit of time as a measure of alcohol use. Drinking habits, however, can vary greatly between individuals and are sometimes very irregular. Individuals with the same average consumption may differ widely, with some having episodic heavy exposure, whereas others show fairly equal consumption from day to day. Few studies have attempted to examine the differential effects of these patterns.10 11
The present study is, to the best of our knowledge, the first to examine prospectively the association between heavy acute drinking style and the progression of carotid atherosclerosis. We examined the relationship in a nonselected population sample of middle-aged men, adjusting for the total average level of alcohol use and various covariates, using 3 indicators of the atherosclerotic process as outcome measures.
| Methods |
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Of the 3235 eligible noninstitutionalized men 42, 48, 54, or 60 years old who resided in the town of Kuopio or its surrounding rural communities, a total of 2682 (82.9%) participated in the study. Baseline examinations were conducted between March 1984 and December 1989. At baseline, the subjects were recruited in 2 waves. The first group comprised 1166 men 54 years old, and the second comprised an age-stratified sample of 1516 men 42, 48, 54, or 60 years old. Ultrasonographic assessment of carotid atherosclerosis at baseline was conducted between February 1987 and December 1989 on the second wave of participants. There were no systematic differences between the 2 waves of recruitment other than the different age distribution. A 4-year follow-up examination was conducted between March 1991 and December 1993 on those men who had undergone ultrasonographic examination at baseline. The ultrasound recordings and other information were obtained from a total of 1022 men.
The study protocol was approved by the Research Ethics Committee of the University of Kuopio, and all participants gave a written informed consent to participate in KIHD.
Evaluation of Carotid Atherosclerosis Progression
Atherosclerosis progression was assessed with
high-resolution B-mode ultrasonographic examination of a 1.0- to 1.5-cm
section of the left and right common carotid artery (CCA) below the
carotid bulb. Images were focused on the posterior (far) wall with the
subject in the supine position. At baseline, ultrasonographic scanning
was conducted with the ATL UM4 duplex ultrasound system with a 10-MHz
sector transducer (Advanced Technology Laboratories). The Biosound
Phase 2 equipped with a 10-MHz annular array probe was used at the
4-year follow-up examinations. Wedge phantom studies of this system,
calibrated against an RMI 414B tissue phantom, have demonstrated
measurement precision of ±0.03 mm.14 15 Both the
baseline and the 4-year follow-up scannings were recorded by a
videocassette recorder. Video frames of the B-mode scanning were
digitized, and the intima-media thickness (IMT) was assessed by a
physician (R.S.) with Prosound software, which incorporates an
edge-detection algorithm specifically designed for use with ultrasound
scanning and allows automatic detection, tracking, and
recording of the lumen/intima and media/adventitia
interfaces.16 On average, 100 estimates of the distance
between these interfaces were recorded over the 1.0- to 1.5-cm
section of each CCA. The IMT of the posterior wall was measured as the
distance from the leading edge of the first echogenic line to the
leading edge of the second echogenic line, as explained earlier in
detail.14 Measurements of the near wall were not conducted
because of greater measurement variability.17
The present study used 3 measures of IMT. First, we used the
maximum IMT, defined as the average of the maximum IMT in the right and
left CCA. Second, we used the plaque height, defined as the difference
between the maximum and minimum IMT recordings averaged over
the right and left CCA. As a third measure, we used the mean IMT,
defined as the mean of the
100 IMT readings from each CCA. These
measures were conceptualized to represent potentially different
aspects of atherosclerosis progression. Maximum IMT was
thought to provide an assessment of how deeply intima-media thickening
intruded into the lumen in this segment of the CCA. The measurement of
plaque height was conceptualized to be sensitive to the roughness of
the arterial wall by representing the range of
IMT. Mean IMT was seen as an overall measure of the process of
atherosclerosis. Progression of carotid
atherosclerosis was calculated as the arithmetic
difference between the baseline and 4-year follow-up values for each of
the 3 measures.
Evaluation of Alcohol Use and Drinking Pattern
Alcohol consumption was assessed with a structured
quantity-frequency method using the Nordic Alcohol Consumption
Inventory.18 19 Usual frequency of intake and usual dose
per sitting (in glasses or bottles) were queried separately for each
beverage type (beer, strong beer, wine, fortified wine, spirits) with a
structured response form. Thus, we were able to assess both total
alcohol use and the timing or pattern of drinking (usual number of
drinks per session). The measure of average weekly use of all alcoholic
beverages was computed on the basis of the known alcohol content of
each type of drink. For example, a 1/3-L (12-oz) bottle or can
of regular beer in Finland contains
12 g ethanol. Strong beer has
14 g, which is also the ethanol content in 1 shot of vodka. Men were
classified as abstinent if they had not consumed any alcohol during the
past 12 months, and they were excluded from the analyses.
Covariates
Lipoproteins were separated from unfrozen plasma within 3 days
of sampling. HDL and LDL fractions were separated from fresh plasma by
both ultracentrifugation and precipitation. The
cholesterol content of all lipoprotein fractions was
measured enzymatically (CHOD-PAP cholesterol method,
Boehringer Mannheim) on the day after the last spin. Serum
apolipoprotein B (apoB) was determined with an immunoturbidimetric
method (KONE Corp) using an antiserum (Orion).20 Blood
pressure was measured with a random-zero sphygmomanometer with the
subject both supine and sitting, after a 5-minute rest in each
position. Three systolic and diastolic pressures
were taken and averaged. We used the average systolic pressure
in these analyses. Body mass index was calculated as the
subjects weight divided by the square of his height in meters
(kg/m2). Smoking was assessed by a questionnaire
and classified for this analysis as "never smoked,"
"former smoker," and "current smoker" (measured in pack-years).
Treatment for hypertension or hyperlipidemia was
assessed by a review of medications.
Statistical Methods
The association between binge drinking and the progression of
IMT was assessed by estimating the mean change in each measure of IMT
(maximum thickness, mean thickness, and plaque height) for different
levels of usual drinking dose of both beer and spirits.
Analyses of drinking pattern were performed separately for the
beer and spirit drinkers, with adjustment for the total consumption of
any alcohol from all categories, including wine. In addition, we
analyzed the relationship between drinking pattern and IMT
progression in a group that was free of IHD at baseline. Statistical
analyses were conducted by the GLM procedure in SAS version
6.09 on a Sun Sparc Station II (SAS Users Guide). This procedure
allows least-squares mean values of the IMT to be estimated and
contrasted for each level of drinking pattern while
simultaneously controlling for age; baseline IMT; average
weekly consumption of beer, wine, and spirits;
cholesterol-lowering medication; the zoom depth of the
ultrasound scan; and indicator variables for the individual
technicians who conducted the scans.14 In addition to
these covariates, in a second stage of models, we included
systolic blood pressure, apoB, HDL2,
smoking, BMI, and antihypertension medication to the linear
multivariate models in further analyses.
| Results |
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6 bottles for 24 men (3.1%). Among those who
reported consuming spirits, usual doses were in general higher,
reflecting the Scandinavian and Eastern European traditions in
drinking. A total of 672 men (76.9%) had a usual dose of six 4-cL
drinks or less, for 81 men (9.3%) a usual dose was 7 to 12 drinks, and
for 121 men (13.8%) it was >12. Table 1
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Binge Drinking and Progression of Maximum IMT
Table 2
presents the estimated
mean change in the maximum thickness of IMT by usual drinking dose,
with adjustment for age; baseline IMT measure; total average
consumption of beer, wine, and spirits; zoom depth; and sonographer
(model 1). Additional adjustments were conducted in model 2 for
systolic blood pressure, HDL2, apoB,
smoking, body mass index, cholesterol-lowering medication,
and antihypertension medication. The 4-year maximum progression
adjusted for age, baseline IMT, total alcohol use, zoom depth, and
sonographer was 0.35 mm for those who usually consumed
6 beers,
0.26 mm for those who drank 3 to 5 beers, and 0.27 mm for
those whose usual dose was <3 bottles (Table 2
). Men with a
usual beer dose of
6 bottles had 26% more
atherosclerosis progression in 4 years than those who
drank <3 bottles at time (P<0.1). The estimated difference
in progression attenuated only little (22% more progression in men
with heavier doses) after further adjustments for covariates in model 2
(Table 2
).
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A similar relationship was observed with the spirit drinking pattern.
In model 1, there was a 23% difference in the maximum IMT progression
(0.32 mm in the highest drinking category versus 0.27 mm in
the lowest) (P<0.05). Adjustments for other covariates did
not remarkably change the magnitude of the difference (19%,
P<0.05) (Table 2
).
Binge Drinking and Change in Mean IMT
The results for progression of mean IMT were very similar to those
for maximum IMT progression (Table 3
).
The mean IMT change in 4 years adjusted for age, baseline IMT, and
total alcohol use was 0.18 mm for the highest beer dose category
and 0.11 mm for the 2 lower groups (64% higher progression,
P<0.05). Adjustment for other covariates in model 2
somewhat attenuated the relationship. The estimated progression was
0.17 mm in the highest, 0.11 mm in the middle, and 0.12
mm in the lowest category (42% difference in progression between those
who drank
6 beers and those who drank <3 beers at a time,
P<0.1) (Table 3
). Among spirit drinkers, the
estimated mean IMT change was 0.11 mm for the 2 lower dose
categories and 0.13 mm for those in the highest category. Addition
of other covariates in model 2 increased the estimated difference
between the highest and the lowest categories (Table 3
).
|
Binge Drinking and Plaque Height
A consistent pattern of findings emerged when plaque
height was used as an outcome (Table 4
).
The 4-year progression of plaque height adjusted for age, baseline IMT,
total alcohol use, zoom depth, and sonographer was greatest for those
who used the highest amount of beer or spirits in 1 session. Within
categories of beer drinking, the progression of plaque height was
0.31 mm for those with the highest doses, 0.26 mm for those
in the middle category, and 0.28 for those in the lowest category (12%
difference between highest and lowest). Adjustments for covariates in
model 2 did not greatly alter the estimates. For spirit categories, the
differences in plaque height progression were clearer: 0.32 mm in
the highest-dose group and 0.26 mm in both lower-dose groups (a
difference of 23%, P<0.05). These differences across
spirit dose categories remained the same after all adjustments in model
2 (Table 4
).
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Binge Drinking and IMT Progression in Men in a Healthy
Subgroup
Table 5
shows the relationship
between beer and spirit drinking patterns and progression of maximum
IMT, mean IMT, and plaque height in a subgroup that included those men
who were free of IHD at baseline (n=615 in beer drinkers and n=682 in
spirit drinkers). The observed relationship was similar to the previous
analyses, but generally the magnitude of differences was larger
than in the total sample. Men without prevalent IHD at baseline who
usually consumed
6 bottles of beer per sitting had 38% higher
maximum IMT progression (P<0.05), 82% higher mean IMT
progression (P<0.05), and 15% higher plaque height
progression than the men who had a usual dose of
2 beers. Adjustment
for risk factors did not greatly affect the magnitude of the
differences. Among spirit drinkers, men in the highest-usual-dose group
had 20% higher maximum IMT progression (P<0.05), 9%
higher mean IMT progression, and 19% higher plaque height progression
(P<0.05) than the lowest-dose group. Further risk factor
adjustments had only a slight effect on the estimated differences
(Table 5
).
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| Discussion |
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The magnitude of these relationships was largely unaffected by adjustment for baseline atherosclerosis, known risk factors, and medications. The findings were consistent across different measures of atherosclerosis progression, with heavy acute drinking showing the same associations with progression of maximum IMT, mean IMT, and plaque height. The observed relationships remained, and appeared to be even stronger, in the analysis of the subgroup that was initially free of the diagnosis or signs of prevalent IHD.
It has been suggested that the relationship between alcohol use and atherosclerotic vascular disease follows the U-shaped pattern seen in studies of alcohol and cardiovascular morbidity and mortality,9 but this has not been firmly established. Even less is known of the possible effects of different drinking styles on atherosclerosis progression. This study is the first in a large population-based sample to show a relationship between pattern of alcohol drinking and progression of atherosclerosis in carotid arteries. Heavy acute loads of alcohol seem to relate to enhanced progression of carotid atherosclerosis, independent of the total average level of alcohol consumption.
It is plausible that the metabolic and physiological stress that occurs in the body during and after heavy drinking21 22 23 may facilitate atherosclerotic changes, but the actual mediating process is not clear. Increased shear stress and flow turbulence may raise the potential for endothelial lesions. Laboratory studies24 25 have shown that large intakes of alcohol associate with increased LDL oxidation. It has also been shown that high titers of antibodies against oxidized LDL associate with accelerated progression of atherosclerosis.26 The formation of acetaldehyde, which appears to be a particularly potent toxin,27 28 has direct deleterious effects in the heart muscle cells. This may also be true inside vessels, because acetaldehyde adducts are likely to contribute to ethanol-related oxidative stress.29 Thus, although moderate amounts of alcohol may have some health benefits, larger intakes of alcohol in 1 session seem to counteract them.
A few issues should be considered before we draw conclusions from these results. First, the assessment of drinking habits was based on a questionnaire and thus subject to underreporting or other misclassification. There is no reason to believe, however, that the possible reporting bias would be systematically differential across various drinking groups. In that case, misclassification would at most dilute the observed associations toward null.
Second, despite the wide array of adjustments, the possibility exists that the reported associations may be due to some yet unmeasured factors, eg, in diet, or to residual confounding.
Third, although the pathophysiological importance of each of the 3 atherosclerosis measures is not completely clear, these 3 progression measures that we used showed similar and consistent associations with binge drinking. Thus, it is reasonable to assume that this type of drinking style is related to the progression of overall atherosclerotic burden, to the development of focal lesions that protrude into the lumen, and to the increase in the surface roughness of the CCA.
Finally, because the magnitude of the relationship was even stronger in a healthy subgroup, it is suggested that a heavy acute drinking pattern may affect the atherosclerotic buildup even at the earlier, nonsymptomatic phase of the disease.
In summary, the evidence from our study indicates that drinking style, and not only the total amount of alcohol consumed, may have an impact on the development of atherosclerotic disease and especially its progression. Our findings also underline the methodological importance of correct representation of dose in exposure studies. In addition to the average exposure to a behavioral risk factor like alcohol drinking, it is important to consider the height and frequency of peak exposures.30
| Acknowledgments |
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Received January 22, 1999; accepted June 18, 1999.
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