Overall alcohol intake, beer, wine, and systemic markers of inflammation in western Europe: results from three MONICA samples (Augsburg, Glasgow, Lille)
Identifieur interne : 00A894 ( Main/Exploration ); précédent : 00A893; suivant : 00A895Overall alcohol intake, beer, wine, and systemic markers of inflammation in western Europe: results from three MONICA samples (Augsburg, Glasgow, Lille)
Auteurs : A. Imhof [Allemagne] ; M. Woodward [Australie] ; A. Doering [Allemagne] ; N. Helbecque [France] ; H. Loewel [Allemagne] ; P. Amouyel [France] ; G. D. O. Lowe [Royaume-Uni] ; W. Koenig [Allemagne]Source :
- European Heart Journal [ 0195-668X ] ; 2004-12-01.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Alcool, Bière, Maladie cardio-vasculaire, Vin, éthanol.
English descriptors
- KwdEn :
- Absolute alcohol, Acute ethanol treatment, Acute phase response, Albumin concentrations, Alcohol, Alcohol categories, Alcohol consumption, Alcohol dehydrogenase, Alcohol intake, Alcoholic beverages, Alcoholic liver disease, Augsburg, Beer, Biochemical characteristics, Biological marker, Body mass index, Brinogen, Cardiovascular, Cardiovascular disease, Complete data sets, Confounders, Conversion factor, Coronary heart disease, Count albumin, Cytokine, Daily alcohol intake, Diastolic blood pressure, Disseminated, Ethanol, European countries, European society, Favourable changes, Fibrinogen, Fibrinogen plasma viscosity, General population, Glasgow, Glasgow monica, Glasgow sample, Healthy volunteers, Heart disease, Heavy drinkers, Higher concentrations, Human monocyte production, Human monocytes, Immunoradiometric assay, Inflammation, Intake, Laboratory methods, Lille, Linear term, Lower concentrations, Lower levels, Lower risk, Male participants, Marker, Moderate alcohol consumption, Moderate alcohol intake, Moderate amounts, Moderate consumers, Monica, Monica project, Monocyte, Myocardial infarction, Other markers, Other samples, Physical activity, Plasma viscosity, Potential confounders, Potential effects, Present study, Quadratic term, Reference group, Regression analyses, Result, Sample, Smoking status, Social background, Standard deviation, Study samples, Systemic, Systemic markers, Total alcohol intake, Total cholesterol, Tumor necrosis factor, Western Europe, White blood cell count, Wine, Wine consumers, Wine consumption.
- Teeft :
- Absolute alcohol, Acute ethanol treatment, Acute phase response, Albumin concentrations, Alcohol, Alcohol categories, Alcohol consumption, Alcohol dehydrogenase, Alcohol intake, Alcoholic beverages, Alcoholic liver disease, Augsburg, Biochemical characteristics, Body mass index, Brinogen, Cardiovascular, Cardiovascular disease, Complete data sets, Confounders, Conversion factor, Coronary heart disease, Count albumin, Cytokine, Daily alcohol intake, Diastolic blood pressure, Ethanol, European countries, European society, Favourable changes, Fibrinogen, Fibrinogen plasma viscosity, General population, Glasgow, Glasgow monica, Glasgow sample, Healthy volunteers, Heart disease, Heavy drinkers, Higher concentrations, Human monocyte production, Human monocytes, Immunoradiometric assay, Intake, Laboratory methods, Lille, Linear term, Lower concentrations, Lower levels, Lower risk, Male participants, Marker, Moderate alcohol consumption, Moderate alcohol intake, Moderate amounts, Moderate consumers, Monica, Monica project, Monocyte, Myocardial infarction, Other markers, Other samples, Physical activity, Plasma viscosity, Potential confounders, Potential effects, Present study, Quadratic term, Reference group, Regression analyses, Smoking status, Social background, Standard deviation, Study samples, Systemic markers, Total alcohol intake, Total cholesterol, Tumor necrosis factor, White blood cell count, Wine consumers, Wine consumption.
Abstract
Aim Anti-inflammatory effects of moderate alcohol consumption have been proposed to explain why moderate alcohol intake lowers coronary heart disease risk. We investigated the relationship between overall alcohol, beer or wine consumption and markers of systemic inflammation in three different geographical areas in Europe. Methods and results Cross-sectional samples, each representative of the general population from Germany, Scotland, and France (MONICA Augsburg 1994/95, 2275 men and 2186 women, 25–74 years; Glasgow MONICA 1994/95, 561/616, 25–74 years, and MONICA Lille 1994/95, 581/574, 35–64 years) were studied. Alcohol intake was assessed by standardized interview. Adjusted means of C-reactive protein (CRP), fibrinogen, white blood cell (WBC) count, plasma viscosity (PV), and albumin were calculated among categories of alcohol intake, and separately for beer or wine consumption, by multiple linear regression. Self-reported moderate daily alcohol intake up to 40 g was associated with lower concentrations of CRP, fibrinogen, PV and WBC count, compared to non-drinking and heavy drinking, even after adjustment for various potential confounders. Conclusions Moderate consumption of either wine or beer is associated with lower levels of systemic inflammatory markers in three different European areas, suggesting that ethanol itself might be largely responsible for the potential anti-inflammatory effects of these beverages.
Url:
DOI: 10.1016/j.ehj.2004.09.032
Affiliations:
- Allemagne, Australie, France, Royaume-Uni
- Hauts-de-France, Nord-Pas-de-Calais, Nouvelle-Galles du Sud
- Lille, Sydney
- Université de Sydney
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Le document en format XML
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type="ISSN">0195-668X</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0195-668X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Absolute alcohol</term><term>Acute ethanol treatment</term><term>Acute phase response</term><term>Albumin concentrations</term><term>Alcohol</term><term>Alcohol categories</term><term>Alcohol consumption</term><term>Alcohol dehydrogenase</term><term>Alcohol intake</term><term>Alcoholic beverages</term><term>Alcoholic liver disease</term><term>Augsburg</term><term>Beer</term><term>Biochemical characteristics</term><term>Biological marker</term><term>Body mass index</term><term>Brinogen</term><term>Cardiovascular</term><term>Cardiovascular disease</term><term>Complete data sets</term><term>Confounders</term><term>Conversion factor</term><term>Coronary heart disease</term><term>Count albumin</term><term>Cytokine</term><term>Daily alcohol intake</term><term>Diastolic blood pressure</term><term>Disseminated</term><term>Ethanol</term><term>European countries</term><term>European society</term><term>Favourable changes</term><term>Fibrinogen</term><term>Fibrinogen plasma viscosity</term><term>General population</term><term>Glasgow</term><term>Glasgow monica</term><term>Glasgow sample</term><term>Healthy volunteers</term><term>Heart disease</term><term>Heavy drinkers</term><term>Higher concentrations</term><term>Human monocyte production</term><term>Human monocytes</term><term>Immunoradiometric assay</term><term>Inflammation</term><term>Intake</term><term>Laboratory methods</term><term>Lille</term><term>Linear term</term><term>Lower concentrations</term><term>Lower levels</term><term>Lower risk</term><term>Male participants</term><term>Marker</term><term>Moderate alcohol consumption</term><term>Moderate alcohol intake</term><term>Moderate amounts</term><term>Moderate consumers</term><term>Monica</term><term>Monica project</term><term>Monocyte</term><term>Myocardial infarction</term><term>Other markers</term><term>Other samples</term><term>Physical activity</term><term>Plasma viscosity</term><term>Potential confounders</term><term>Potential effects</term><term>Present study</term><term>Quadratic term</term><term>Reference group</term><term>Regression analyses</term><term>Result</term><term>Sample</term><term>Smoking status</term><term>Social background</term><term>Standard deviation</term><term>Study samples</term><term>Systemic</term><term>Systemic markers</term><term>Total alcohol intake</term><term>Total cholesterol</term><term>Tumor necrosis factor</term><term>Western Europe</term><term>White blood cell count</term><term>Wine</term><term>Wine consumers</term><term>Wine consumption</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Alcool</term><term>Bière</term><term>Disséminé</term><term>Echantillon</term><term>Europe Ouest</term><term>Inflammation</term><term>Marqueur biologique</term><term>Résultat</term><term>Systémique</term><term>Vin</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Absolute alcohol</term><term>Acute ethanol treatment</term><term>Acute phase response</term><term>Albumin concentrations</term><term>Alcohol</term><term>Alcohol categories</term><term>Alcohol consumption</term><term>Alcohol dehydrogenase</term><term>Alcohol intake</term><term>Alcoholic beverages</term><term>Alcoholic liver disease</term><term>Augsburg</term><term>Biochemical characteristics</term><term>Body mass index</term><term>Brinogen</term><term>Cardiovascular</term><term>Cardiovascular disease</term><term>Complete data sets</term><term>Confounders</term><term>Conversion factor</term><term>Coronary heart disease</term><term>Count albumin</term><term>Cytokine</term><term>Daily alcohol intake</term><term>Diastolic blood pressure</term><term>Ethanol</term><term>European countries</term><term>European society</term><term>Favourable changes</term><term>Fibrinogen</term><term>Fibrinogen plasma viscosity</term><term>General population</term><term>Glasgow</term><term>Glasgow monica</term><term>Glasgow sample</term><term>Healthy volunteers</term><term>Heart disease</term><term>Heavy drinkers</term><term>Higher concentrations</term><term>Human monocyte production</term><term>Human monocytes</term><term>Immunoradiometric assay</term><term>Intake</term><term>Laboratory methods</term><term>Lille</term><term>Linear term</term><term>Lower concentrations</term><term>Lower levels</term><term>Lower risk</term><term>Male participants</term><term>Marker</term><term>Moderate alcohol consumption</term><term>Moderate alcohol intake</term><term>Moderate amounts</term><term>Moderate consumers</term><term>Monica</term><term>Monica project</term><term>Monocyte</term><term>Myocardial infarction</term><term>Other markers</term><term>Other samples</term><term>Physical activity</term><term>Plasma viscosity</term><term>Potential confounders</term><term>Potential effects</term><term>Present study</term><term>Quadratic term</term><term>Reference group</term><term>Regression analyses</term><term>Smoking status</term><term>Social background</term><term>Standard deviation</term><term>Study samples</term><term>Systemic markers</term><term>Total alcohol intake</term><term>Total cholesterol</term><term>Tumor necrosis factor</term><term>White blood cell count</term><term>Wine consumers</term><term>Wine consumption</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Alcool</term><term>Bière</term><term>Maladie cardio-vasculaire</term><term>Vin</term><term>éthanol</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Aim Anti-inflammatory effects of moderate alcohol consumption have been proposed to explain why moderate alcohol intake lowers coronary heart disease risk. We investigated the relationship between overall alcohol, beer or wine consumption and markers of systemic inflammation in three different geographical areas in Europe. Methods and results Cross-sectional samples, each representative of the general population from Germany, Scotland, and France (MONICA Augsburg 1994/95, 2275 men and 2186 women, 25–74 years; Glasgow MONICA 1994/95, 561/616, 25–74 years, and MONICA Lille 1994/95, 581/574, 35–64 years) were studied. Alcohol intake was assessed by standardized interview. Adjusted means of C-reactive protein (CRP), fibrinogen, white blood cell (WBC) count, plasma viscosity (PV), and albumin were calculated among categories of alcohol intake, and separately for beer or wine consumption, by multiple linear regression. Self-reported moderate daily alcohol intake up to 40 g was associated with lower concentrations of CRP, fibrinogen, PV and WBC count, compared to non-drinking and heavy drinking, even after adjustment for various potential confounders. Conclusions Moderate consumption of either wine or beer is associated with lower levels of systemic inflammatory markers in three different European areas, suggesting that ethanol itself might be largely responsible for the potential anti-inflammatory effects of these beverages.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Australie</li><li>France</li><li>Royaume-Uni</li></country><region><li>Hauts-de-France</li><li>Nord-Pas-de-Calais</li><li>Nouvelle-Galles du Sud</li></region><settlement><li>Lille</li><li>Sydney</li></settlement><orgName><li>Université de Sydney</li></orgName></list><tree><country name="Allemagne"><noRegion><name sortKey="Imhof, A" sort="Imhof, A" uniqKey="Imhof A" first="A." last="Imhof">A. Imhof</name></noRegion><name sortKey="Doering, A" sort="Doering, A" uniqKey="Doering A" first="A." last="Doering">A. Doering</name><name sortKey="Koenig, W" sort="Koenig, W" uniqKey="Koenig W" first="W." last="Koenig">W. Koenig</name><name sortKey="Loewel, H" sort="Loewel, H" uniqKey="Loewel H" first="H." last="Loewel">H. Loewel</name></country><country name="Australie"><region name="Nouvelle-Galles du Sud"><name sortKey="Woodward, M" sort="Woodward, M" uniqKey="Woodward M" first="M." last="Woodward">M. Woodward</name></region></country><country name="France"><region name="Hauts-de-France"><name sortKey="Helbecque, N" sort="Helbecque, N" uniqKey="Helbecque N" first="N." last="Helbecque">N. Helbecque</name></region><name sortKey="Amouyel, P" sort="Amouyel, P" uniqKey="Amouyel P" first="P." last="Amouyel">P. Amouyel</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Lowe, G D O" sort="Lowe, G D O" uniqKey="Lowe G" first="G. D. O." last="Lowe">G. D. O. Lowe</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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