Convergence of Alcohol Consumption and Dietary Quality in US Adults Who Currently Drink Alcohol: An Analysis of Two Core Risk Factors of Liver Disease
Alcohol consumption and poor dietary habits are on the rise in the United States, posing significant challenges to public health due to their contribution to chronic diseases such as liver failure. While associations between alcohol consumption patterns and diet quality have been explored, the relat...
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description | Alcohol consumption and poor dietary habits are on the rise in the United States, posing significant challenges to public health due to their contribution to chronic diseases such as liver failure. While associations between alcohol consumption patterns and diet quality have been explored, the relationship between specific alcoholic beverage types and diet quality remains underexamined. This study aims to compare diet quality among consumers of different alcoholic beverage types.
We conducted a cross-sectional analysis of 1917 current alcohol drinkers from the National Health and Nutrition Examination Survey (NHANES) who completed a 24 h dietary recall survey. Diet quality was assessed using the Healthy Eating Index (HEI), with higher scores indicating superior diet quality. Multivariable logistic regression models were employed to assess differences in HEI between consumers of various alcoholic beverage types, using wine-only drinkers as the reference group and controlling for demographic, socioeconomic, lifestyle, and metabolic syndrome variables.
Beer-only drinkers were more likely to have lower income, higher rates of cigarette smoking, and insufficient physical activity compared to other alcohol consumers. In the fully adjusted multivariable model, beer-only drinkers had an HEI score that was 3.12 points lower than wine-only drinkers. In contrast, liquor/cocktail-only and multiple-type drinkers had similar HEI scores to wine-only drinkers.
Beer-only consumption is associated with poorer diet quality among alcohol drinkers. Targeted patient education and public health campaigns may be effective in addressing the combined impact of alcohol consumption and poor diet quality on chronic disease risk. |
doi_str_mv | 10.3390/nu16223866 |
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We conducted a cross-sectional analysis of 1917 current alcohol drinkers from the National Health and Nutrition Examination Survey (NHANES) who completed a 24 h dietary recall survey. Diet quality was assessed using the Healthy Eating Index (HEI), with higher scores indicating superior diet quality. Multivariable logistic regression models were employed to assess differences in HEI between consumers of various alcoholic beverage types, using wine-only drinkers as the reference group and controlling for demographic, socioeconomic, lifestyle, and metabolic syndrome variables.
Beer-only drinkers were more likely to have lower income, higher rates of cigarette smoking, and insufficient physical activity compared to other alcohol consumers. In the fully adjusted multivariable model, beer-only drinkers had an HEI score that was 3.12 points lower than wine-only drinkers. In contrast, liquor/cocktail-only and multiple-type drinkers had similar HEI scores to wine-only drinkers.
Beer-only consumption is associated with poorer diet quality among alcohol drinkers. Targeted patient education and public health campaigns may be effective in addressing the combined impact of alcohol consumption and poor diet quality on chronic disease risk.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu16223866</identifier><identifier>PMID: 39599652</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Adults ; Aged ; Alcohol Drinking - epidemiology ; Alcohol use ; Alcoholic Beverages ; Alcoholism ; Beer ; Beverages ; Chronic diseases ; Cross-Sectional Studies ; Data collection ; Diet ; Diet - statistics & numerical data ; Diet, Healthy - statistics & numerical data ; Drinking of alcoholic beverages ; Exercise ; Family income ; Fatty acids ; Feeding Behavior ; Female ; Food ; Health care ; Health surveys ; Humans ; Interviews ; Lifestyles ; Liquor ; Liver cirrhosis ; Liver diseases ; Liver Diseases - epidemiology ; Liver Diseases - etiology ; Male ; Marketing research ; Metabolic syndrome ; Middle Aged ; Nutrition research ; Nutrition Surveys ; Population ; Poverty ; Public health ; Questionnaires ; Risk Factors ; Smoking ; Sociodemographics ; Surveys ; Target marketing ; United States - epidemiology ; Wine</subject><ispartof>Nutrients, 2024-11, Vol.16 (22), p.3866</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3141-c716ba9a8ce5133a83953777cfeee1e8f0f4341dc5d54c869db522d715f69a653</cites><orcidid>0000-0001-6266-9891 ; 0000-0003-1581-2354 ; 0000-0002-3307-5549 ; 0000-0002-9865-1009 ; 0009-0007-2905-5581</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11597591/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11597591/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39599652$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ting, Peng-Sheng</creatorcontrib><creatorcontrib>Lin, Wei-Ting</creatorcontrib><creatorcontrib>Liangpunsakul, Suthat</creatorcontrib><creatorcontrib>Novack, Madeline</creatorcontrib><creatorcontrib>Huang, Chiung-Kuei</creatorcontrib><creatorcontrib>Lin, Hui-Yi</creatorcontrib><creatorcontrib>Tseng, Tung-Sung</creatorcontrib><creatorcontrib>Chen, Po-Hung</creatorcontrib><title>Convergence of Alcohol Consumption and Dietary Quality in US Adults Who Currently Drink Alcohol: An Analysis of Two Core Risk Factors of Liver Disease</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Alcohol consumption and poor dietary habits are on the rise in the United States, posing significant challenges to public health due to their contribution to chronic diseases such as liver failure. While associations between alcohol consumption patterns and diet quality have been explored, the relationship between specific alcoholic beverage types and diet quality remains underexamined. This study aims to compare diet quality among consumers of different alcoholic beverage types.
We conducted a cross-sectional analysis of 1917 current alcohol drinkers from the National Health and Nutrition Examination Survey (NHANES) who completed a 24 h dietary recall survey. Diet quality was assessed using the Healthy Eating Index (HEI), with higher scores indicating superior diet quality. Multivariable logistic regression models were employed to assess differences in HEI between consumers of various alcoholic beverage types, using wine-only drinkers as the reference group and controlling for demographic, socioeconomic, lifestyle, and metabolic syndrome variables.
Beer-only drinkers were more likely to have lower income, higher rates of cigarette smoking, and insufficient physical activity compared to other alcohol consumers. In the fully adjusted multivariable model, beer-only drinkers had an HEI score that was 3.12 points lower than wine-only drinkers. In contrast, liquor/cocktail-only and multiple-type drinkers had similar HEI scores to wine-only drinkers.
Beer-only consumption is associated with poorer diet quality among alcohol drinkers. Targeted patient education and public health campaigns may be effective in addressing the combined impact of alcohol consumption and poor diet quality on chronic disease risk.</description><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Alcohol use</subject><subject>Alcoholic Beverages</subject><subject>Alcoholism</subject><subject>Beer</subject><subject>Beverages</subject><subject>Chronic diseases</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Diet</subject><subject>Diet - statistics & numerical data</subject><subject>Diet, Healthy - statistics & numerical data</subject><subject>Drinking of alcoholic beverages</subject><subject>Exercise</subject><subject>Family income</subject><subject>Fatty acids</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Health care</subject><subject>Health surveys</subject><subject>Humans</subject><subject>Interviews</subject><subject>Lifestyles</subject><subject>Liquor</subject><subject>Liver cirrhosis</subject><subject>Liver diseases</subject><subject>Liver Diseases - epidemiology</subject><subject>Liver Diseases - etiology</subject><subject>Male</subject><subject>Marketing research</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Nutrition research</subject><subject>Nutrition Surveys</subject><subject>Population</subject><subject>Poverty</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Sociodemographics</subject><subject>Surveys</subject><subject>Target marketing</subject><subject>United States - epidemiology</subject><subject>Wine</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkt1qFDEUxwdRbKm98QEk4I0IWyfJJJnxRoatrcKCqC1ehmzmzG7abLJNZir7Ij5vz7r9FJNAwsnv_M8Hpyhe0_KI86b8EEYqGeO1lM-KfVYqNpGy4s8fvfeKw5wvyu1SpZL8ZbHHG9E0UrD94s80hmtICwgWSOxJ621cRk_QnMfVenAxEBM6cuxgMGlDvo_Gu2FDXCDnP0nbjX7I5NcykumYEoTBb8hxcuHyTugjaQMe4zfZ5W2As9_IxgTkh8uX5MTYIaa_HzOHeWCcDCbDq-JFb3yGw9v7oDg_-Xw2_TKZfTv9Om1nE8tpRSdWUTk3jaktCMq5qbEwrpSyPQBQqPuyr3hFOys6UdlaNt1cMNYpKnrZGCn4QfFpp7se5yvoLFaQjNfr5FZYrY7G6ac_wS31Il5rSkWjRENR4d2tQopXI-RBr1y24L0JEMesOeZVYbcrhejbf9CLOCbszY6iCkH2QC2MB-1CHzGw3YrqtqZ1JRVjJVJH_6Fwd7ByNgboHdqfOLzfOdgUc07Q3xdJS72dJP0wSQi_edyWe_RubvgNVNzCiQ</recordid><startdate>20241113</startdate><enddate>20241113</enddate><creator>Ting, Peng-Sheng</creator><creator>Lin, Wei-Ting</creator><creator>Liangpunsakul, Suthat</creator><creator>Novack, Madeline</creator><creator>Huang, Chiung-Kuei</creator><creator>Lin, Hui-Yi</creator><creator>Tseng, Tung-Sung</creator><creator>Chen, Po-Hung</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6266-9891</orcidid><orcidid>https://orcid.org/0000-0003-1581-2354</orcidid><orcidid>https://orcid.org/0000-0002-3307-5549</orcidid><orcidid>https://orcid.org/0000-0002-9865-1009</orcidid><orcidid>https://orcid.org/0009-0007-2905-5581</orcidid></search><sort><creationdate>20241113</creationdate><title>Convergence of Alcohol Consumption and Dietary Quality in US Adults Who Currently Drink Alcohol: An Analysis of Two Core Risk Factors of Liver Disease</title><author>Ting, Peng-Sheng ; Lin, Wei-Ting ; Liangpunsakul, Suthat ; Novack, Madeline ; Huang, Chiung-Kuei ; Lin, Hui-Yi ; Tseng, Tung-Sung ; Chen, Po-Hung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3141-c716ba9a8ce5133a83953777cfeee1e8f0f4341dc5d54c869db522d715f69a653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Alcohol Drinking - epidemiology</topic><topic>Alcohol use</topic><topic>Alcoholic Beverages</topic><topic>Alcoholism</topic><topic>Beer</topic><topic>Beverages</topic><topic>Chronic diseases</topic><topic>Cross-Sectional Studies</topic><topic>Data collection</topic><topic>Diet</topic><topic>Diet - statistics & numerical data</topic><topic>Diet, Healthy - statistics & numerical data</topic><topic>Drinking of alcoholic beverages</topic><topic>Exercise</topic><topic>Family income</topic><topic>Fatty acids</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Food</topic><topic>Health care</topic><topic>Health surveys</topic><topic>Humans</topic><topic>Interviews</topic><topic>Lifestyles</topic><topic>Liquor</topic><topic>Liver cirrhosis</topic><topic>Liver diseases</topic><topic>Liver Diseases - epidemiology</topic><topic>Liver Diseases - etiology</topic><topic>Male</topic><topic>Marketing research</topic><topic>Metabolic syndrome</topic><topic>Middle Aged</topic><topic>Nutrition research</topic><topic>Nutrition Surveys</topic><topic>Population</topic><topic>Poverty</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Risk Factors</topic><topic>Smoking</topic><topic>Sociodemographics</topic><topic>Surveys</topic><topic>Target marketing</topic><topic>United States - epidemiology</topic><topic>Wine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ting, Peng-Sheng</creatorcontrib><creatorcontrib>Lin, Wei-Ting</creatorcontrib><creatorcontrib>Liangpunsakul, Suthat</creatorcontrib><creatorcontrib>Novack, Madeline</creatorcontrib><creatorcontrib>Huang, Chiung-Kuei</creatorcontrib><creatorcontrib>Lin, Hui-Yi</creatorcontrib><creatorcontrib>Tseng, Tung-Sung</creatorcontrib><creatorcontrib>Chen, Po-Hung</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ting, Peng-Sheng</au><au>Lin, Wei-Ting</au><au>Liangpunsakul, Suthat</au><au>Novack, Madeline</au><au>Huang, Chiung-Kuei</au><au>Lin, Hui-Yi</au><au>Tseng, Tung-Sung</au><au>Chen, Po-Hung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Convergence of Alcohol Consumption and Dietary Quality in US Adults Who Currently Drink Alcohol: An Analysis of Two Core Risk Factors of Liver Disease</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2024-11-13</date><risdate>2024</risdate><volume>16</volume><issue>22</issue><spage>3866</spage><pages>3866-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Alcohol consumption and poor dietary habits are on the rise in the United States, posing significant challenges to public health due to their contribution to chronic diseases such as liver failure. While associations between alcohol consumption patterns and diet quality have been explored, the relationship between specific alcoholic beverage types and diet quality remains underexamined. This study aims to compare diet quality among consumers of different alcoholic beverage types.
We conducted a cross-sectional analysis of 1917 current alcohol drinkers from the National Health and Nutrition Examination Survey (NHANES) who completed a 24 h dietary recall survey. Diet quality was assessed using the Healthy Eating Index (HEI), with higher scores indicating superior diet quality. Multivariable logistic regression models were employed to assess differences in HEI between consumers of various alcoholic beverage types, using wine-only drinkers as the reference group and controlling for demographic, socioeconomic, lifestyle, and metabolic syndrome variables.
Beer-only drinkers were more likely to have lower income, higher rates of cigarette smoking, and insufficient physical activity compared to other alcohol consumers. In the fully adjusted multivariable model, beer-only drinkers had an HEI score that was 3.12 points lower than wine-only drinkers. In contrast, liquor/cocktail-only and multiple-type drinkers had similar HEI scores to wine-only drinkers.
Beer-only consumption is associated with poorer diet quality among alcohol drinkers. Targeted patient education and public health campaigns may be effective in addressing the combined impact of alcohol consumption and poor diet quality on chronic disease risk.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39599652</pmid><doi>10.3390/nu16223866</doi><orcidid>https://orcid.org/0000-0001-6266-9891</orcidid><orcidid>https://orcid.org/0000-0003-1581-2354</orcidid><orcidid>https://orcid.org/0000-0002-3307-5549</orcidid><orcidid>https://orcid.org/0000-0002-9865-1009</orcidid><orcidid>https://orcid.org/0009-0007-2905-5581</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adults Aged Alcohol Drinking - epidemiology Alcohol use Alcoholic Beverages Alcoholism Beer Beverages Chronic diseases Cross-Sectional Studies Data collection Diet Diet - statistics & numerical data Diet, Healthy - statistics & numerical data Drinking of alcoholic beverages Exercise Family income Fatty acids Feeding Behavior Female Food Health care Health surveys Humans Interviews Lifestyles Liquor Liver cirrhosis Liver diseases Liver Diseases - epidemiology Liver Diseases - etiology Male Marketing research Metabolic syndrome Middle Aged Nutrition research Nutrition Surveys Population Poverty Public health Questionnaires Risk Factors Smoking Sociodemographics Surveys Target marketing United States - epidemiology Wine |
title | Convergence of Alcohol Consumption and Dietary Quality in US Adults Who Currently Drink Alcohol: An Analysis of Two Core Risk Factors of Liver Disease |
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