Dietary patterns matter: diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study
Although diet beverages are typically consumed to promote weight control, positive associations with increased cardiometabolic risk have been reported. The objective was to examine the joint and independent association between dietary pattern and diet beverage consumption with 20-y cardiometabolic r...
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Veröffentlicht in: | The American journal of clinical nutrition 2012-04, Vol.95 (4), p.909-915 |
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creator | DUFFEY, Kiyah J STEFFEN, Lyn M VAN HORN, Linda JACOBS, David R POPKIN, Barry M |
description | Although diet beverages are typically consumed to promote weight control, positive associations with increased cardiometabolic risk have been reported.
The objective was to examine the joint and independent association between dietary pattern and diet beverage consumption with 20-y cardiometabolic risk.
We analyzed a prospective 20-y cohort of young adults from the Coronary Artery Risk Development in Young Adults (CARDIA) Study. With the use of cluster analysis, we identified 2 baseline (year 0) dietary patterns [Prudent (higher intakes of fruit, whole grains, milk, and nuts and seeds; n = 1778) and Western (higher intakes of fast food, meat and poultry, pizza, and snacks; n = 2383)] and examined the interaction with diet beverage consumption (Consumers compared with Nonconsumers) by using proportional hazards regression models.
Among Consumers, 66% were classified as having a Prudent diet. In fully adjusted models, being a Nonconsumer with a Prudent diet was independently associated with a lower risk of the metabolic syndrome through year 20. Lower risk in the Prudent than in the Western dietary pattern was maintained after stratification by diet beverage consumption: Prudent Nonconsumers had the lowest risk of high waist circumference (HR: 0.78; 95% CI: 0.62, 0.97), high triglycerides (HR: 0.72; 95% CI: 0.56, 0.93), and the metabolic syndrome (HR: 0.64; 95% CI: 0.50, 0.82) compared with Western Consumers.
Our results suggest that both overall dietary pattern and diet beverage consumption are important, to various degrees, for different metabolic outcomes. This covariation and interaction may partially explain differences in the relation between diet beverage consumption and cardiometabolic health observed in previous studies. |
doi_str_mv | 10.3945/ajcn.111.026682 |
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The objective was to examine the joint and independent association between dietary pattern and diet beverage consumption with 20-y cardiometabolic risk.
We analyzed a prospective 20-y cohort of young adults from the Coronary Artery Risk Development in Young Adults (CARDIA) Study. With the use of cluster analysis, we identified 2 baseline (year 0) dietary patterns [Prudent (higher intakes of fruit, whole grains, milk, and nuts and seeds; n = 1778) and Western (higher intakes of fast food, meat and poultry, pizza, and snacks; n = 2383)] and examined the interaction with diet beverage consumption (Consumers compared with Nonconsumers) by using proportional hazards regression models.
Among Consumers, 66% were classified as having a Prudent diet. In fully adjusted models, being a Nonconsumer with a Prudent diet was independently associated with a lower risk of the metabolic syndrome through year 20. Lower risk in the Prudent than in the Western dietary pattern was maintained after stratification by diet beverage consumption: Prudent Nonconsumers had the lowest risk of high waist circumference (HR: 0.78; 95% CI: 0.62, 0.97), high triglycerides (HR: 0.72; 95% CI: 0.56, 0.93), and the metabolic syndrome (HR: 0.64; 95% CI: 0.50, 0.82) compared with Western Consumers.
Our results suggest that both overall dietary pattern and diet beverage consumption are important, to various degrees, for different metabolic outcomes. This covariation and interaction may partially explain differences in the relation between diet beverage consumption and cardiometabolic health observed in previous studies.</description><identifier>ISSN: 0002-9165</identifier><identifier>EISSN: 1938-3207</identifier><identifier>DOI: 10.3945/ajcn.111.026682</identifier><identifier>PMID: 22378729</identifier><identifier>CODEN: AJCNAC</identifier><language>eng</language><publisher>Bethesda, MD: American Society for Nutrition</publisher><subject>Adolescent ; Adult ; adult development ; adverse effects ; Beverages ; Beverages - adverse effects ; Biological and medical sciences ; Cardiovascular disease ; Cluster Analysis ; Cohort Studies ; coronary vessels ; Correlation analysis ; Diet ; Diet, Reducing ; Diet, Reducing - adverse effects ; Diets ; eating habits ; epidemiology ; etiology ; Feeding. Feeding behavior ; Female ; Food, Formulated ; Food, Formulated - adverse effects ; fruit consumption ; Fruits ; Fundamental and applied biological sciences. Psychology ; Humans ; Hypertriglyceridemia ; Hypertriglyceridemia - etiology ; Incidence ; Longitudinal Studies ; Male ; Meat ; metabolic disorders ; metabolic syndrome ; Metabolic Syndrome - epidemiology ; Metabolic Syndrome - etiology ; Metabolic Syndrome - physiopathology ; Milk ; Nutrition ; Nutritional Epidemiology and Public Health ; nuts ; obesity ; physiopathology ; pizza ; Poultry ; poultry meat ; Proportional Hazards Models ; Prospective Studies ; regression analysis ; Risk ; Stratification ; triacylglycerols ; United States ; United States - epidemiology ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; Waist Circumference ; weight control ; whole grain foods ; Young Adult ; Young adults</subject><ispartof>The American journal of clinical nutrition, 2012-04, Vol.95 (4), p.909-915</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Society for Clinical Nutrition, Inc. Apr 1, 2012</rights><rights>2012 American Society for Nutrition 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c581t-bcac363b99be658405a10d039bc3c5e92d5e70ee9f87ea6187ef97c800355743</citedby><cites>FETCH-LOGICAL-c581t-bcac363b99be658405a10d039bc3c5e92d5e70ee9f87ea6187ef97c800355743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25650913$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22378729$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>DUFFEY, Kiyah J</creatorcontrib><creatorcontrib>STEFFEN, Lyn M</creatorcontrib><creatorcontrib>VAN HORN, Linda</creatorcontrib><creatorcontrib>JACOBS, David R</creatorcontrib><creatorcontrib>POPKIN, Barry M</creatorcontrib><title>Dietary patterns matter: diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study</title><title>The American journal of clinical nutrition</title><addtitle>Am J Clin Nutr</addtitle><description>Although diet beverages are typically consumed to promote weight control, positive associations with increased cardiometabolic risk have been reported.
The objective was to examine the joint and independent association between dietary pattern and diet beverage consumption with 20-y cardiometabolic risk.
We analyzed a prospective 20-y cohort of young adults from the Coronary Artery Risk Development in Young Adults (CARDIA) Study. With the use of cluster analysis, we identified 2 baseline (year 0) dietary patterns [Prudent (higher intakes of fruit, whole grains, milk, and nuts and seeds; n = 1778) and Western (higher intakes of fast food, meat and poultry, pizza, and snacks; n = 2383)] and examined the interaction with diet beverage consumption (Consumers compared with Nonconsumers) by using proportional hazards regression models.
Among Consumers, 66% were classified as having a Prudent diet. In fully adjusted models, being a Nonconsumer with a Prudent diet was independently associated with a lower risk of the metabolic syndrome through year 20. Lower risk in the Prudent than in the Western dietary pattern was maintained after stratification by diet beverage consumption: Prudent Nonconsumers had the lowest risk of high waist circumference (HR: 0.78; 95% CI: 0.62, 0.97), high triglycerides (HR: 0.72; 95% CI: 0.56, 0.93), and the metabolic syndrome (HR: 0.64; 95% CI: 0.50, 0.82) compared with Western Consumers.
Our results suggest that both overall dietary pattern and diet beverage consumption are important, to various degrees, for different metabolic outcomes. This covariation and interaction may partially explain differences in the relation between diet beverage consumption and cardiometabolic health observed in previous studies.</description><subject>Adolescent</subject><subject>Adult</subject><subject>adult development</subject><subject>adverse effects</subject><subject>Beverages</subject><subject>Beverages - adverse effects</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular disease</subject><subject>Cluster Analysis</subject><subject>Cohort Studies</subject><subject>coronary vessels</subject><subject>Correlation analysis</subject><subject>Diet</subject><subject>Diet, Reducing</subject><subject>Diet, Reducing - adverse effects</subject><subject>Diets</subject><subject>eating habits</subject><subject>epidemiology</subject><subject>etiology</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Food, Formulated</subject><subject>Food, Formulated - adverse effects</subject><subject>fruit consumption</subject><subject>Fruits</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Hypertriglyceridemia</subject><subject>Hypertriglyceridemia - etiology</subject><subject>Incidence</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Meat</subject><subject>metabolic disorders</subject><subject>metabolic syndrome</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - etiology</subject><subject>Metabolic Syndrome - physiopathology</subject><subject>Milk</subject><subject>Nutrition</subject><subject>Nutritional Epidemiology and Public Health</subject><subject>nuts</subject><subject>obesity</subject><subject>physiopathology</subject><subject>pizza</subject><subject>Poultry</subject><subject>poultry meat</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>regression analysis</subject><subject>Risk</subject><subject>Stratification</subject><subject>triacylglycerols</subject><subject>United States</subject><subject>United States - epidemiology</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>Waist Circumference</subject><subject>weight control</subject><subject>whole grain foods</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>0002-9165</issn><issn>1938-3207</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks1rFDEYhwdR7Fo9e5MgCPUw23xMMokHYditWigItRdPIZPJbLNmkjWZKewf4v_bjLvWj4uXJPA-75M34VcULxFcElHRc7XVfokQWkLMGMePigUShJcEw_pxsYAQ4lIgRk-KZyltIUS44uxpcYIxqXmNxaL4sbZmVHEPdmocTfQJDD8P70CXC6A1dyaqjUlA-Q5oFTsbhtzQBmc1iDZ9S8B6MN4a4ILf2HHqrFcOrEIMftY2Mcv24DqTYJ1lLuwG48e56WuY_AY03eTGBM5WzfX6snkLvmTF_nnxpFcumRfH_bS4-XBxs_pUXn3-eLlqrkpNORrLVitNGGmFaA2jvIJUIdhBIlpNNDUCd9TU0BjR89oohvLai1pzCAmldUVOi_cH7W5qB9PpPFhUTu6iHfLsMigr_654eys34U4SAjFhNAvOjoIYvk8mjXKwSRvnlDdhShJVBOVrERT_RyGGnHDGUUZf_4NuwxTztyYpGCKVwHSGzg-QjiGlaPqHsRGUczbknA2ZsyEP2cgdr_587QP_KwwZeHMEVNLK9VF5bdNvjjIKBSLkHrR8xEU</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>DUFFEY, Kiyah J</creator><creator>STEFFEN, Lyn M</creator><creator>VAN HORN, Linda</creator><creator>JACOBS, David R</creator><creator>POPKIN, Barry M</creator><general>American Society for Nutrition</general><general>American Society for Clinical Nutrition, Inc</general><scope>IQODW</scope><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>7QP</scope><scope>7T7</scope><scope>7TS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20120401</creationdate><title>Dietary patterns matter: diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study</title><author>DUFFEY, Kiyah J ; STEFFEN, Lyn M ; VAN HORN, Linda ; JACOBS, David R ; POPKIN, Barry M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c581t-bcac363b99be658405a10d039bc3c5e92d5e70ee9f87ea6187ef97c800355743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>adult development</topic><topic>adverse effects</topic><topic>Beverages</topic><topic>Beverages - adverse effects</topic><topic>Biological and medical sciences</topic><topic>Cardiovascular disease</topic><topic>Cluster Analysis</topic><topic>Cohort Studies</topic><topic>coronary vessels</topic><topic>Correlation analysis</topic><topic>Diet</topic><topic>Diet, Reducing</topic><topic>Diet, Reducing - adverse effects</topic><topic>Diets</topic><topic>eating habits</topic><topic>epidemiology</topic><topic>etiology</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Food, Formulated</topic><topic>Food, Formulated - adverse effects</topic><topic>fruit consumption</topic><topic>Fruits</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Hypertriglyceridemia</topic><topic>Hypertriglyceridemia - etiology</topic><topic>Incidence</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Meat</topic><topic>metabolic disorders</topic><topic>metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - etiology</topic><topic>Metabolic Syndrome - physiopathology</topic><topic>Milk</topic><topic>Nutrition</topic><topic>Nutritional Epidemiology and Public Health</topic><topic>nuts</topic><topic>obesity</topic><topic>physiopathology</topic><topic>pizza</topic><topic>Poultry</topic><topic>poultry meat</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>regression analysis</topic><topic>Risk</topic><topic>Stratification</topic><topic>triacylglycerols</topic><topic>United States</topic><topic>United States - epidemiology</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>Waist Circumference</topic><topic>weight control</topic><topic>whole grain foods</topic><topic>Young Adult</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DUFFEY, Kiyah J</creatorcontrib><creatorcontrib>STEFFEN, Lyn M</creatorcontrib><creatorcontrib>VAN HORN, Linda</creatorcontrib><creatorcontrib>JACOBS, David R</creatorcontrib><creatorcontrib>POPKIN, Barry M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DUFFEY, Kiyah J</au><au>STEFFEN, Lyn M</au><au>VAN HORN, Linda</au><au>JACOBS, David R</au><au>POPKIN, Barry M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary patterns matter: diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study</atitle><jtitle>The American journal of clinical nutrition</jtitle><addtitle>Am J Clin Nutr</addtitle><date>2012-04-01</date><risdate>2012</risdate><volume>95</volume><issue>4</issue><spage>909</spage><epage>915</epage><pages>909-915</pages><issn>0002-9165</issn><eissn>1938-3207</eissn><coden>AJCNAC</coden><abstract>Although diet beverages are typically consumed to promote weight control, positive associations with increased cardiometabolic risk have been reported.
The objective was to examine the joint and independent association between dietary pattern and diet beverage consumption with 20-y cardiometabolic risk.
We analyzed a prospective 20-y cohort of young adults from the Coronary Artery Risk Development in Young Adults (CARDIA) Study. With the use of cluster analysis, we identified 2 baseline (year 0) dietary patterns [Prudent (higher intakes of fruit, whole grains, milk, and nuts and seeds; n = 1778) and Western (higher intakes of fast food, meat and poultry, pizza, and snacks; n = 2383)] and examined the interaction with diet beverage consumption (Consumers compared with Nonconsumers) by using proportional hazards regression models.
Among Consumers, 66% were classified as having a Prudent diet. In fully adjusted models, being a Nonconsumer with a Prudent diet was independently associated with a lower risk of the metabolic syndrome through year 20. Lower risk in the Prudent than in the Western dietary pattern was maintained after stratification by diet beverage consumption: Prudent Nonconsumers had the lowest risk of high waist circumference (HR: 0.78; 95% CI: 0.62, 0.97), high triglycerides (HR: 0.72; 95% CI: 0.56, 0.93), and the metabolic syndrome (HR: 0.64; 95% CI: 0.50, 0.82) compared with Western Consumers.
Our results suggest that both overall dietary pattern and diet beverage consumption are important, to various degrees, for different metabolic outcomes. This covariation and interaction may partially explain differences in the relation between diet beverage consumption and cardiometabolic health observed in previous studies.</abstract><cop>Bethesda, MD</cop><pub>American Society for Nutrition</pub><pmid>22378729</pmid><doi>10.3945/ajcn.111.026682</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult adult development adverse effects Beverages Beverages - adverse effects Biological and medical sciences Cardiovascular disease Cluster Analysis Cohort Studies coronary vessels Correlation analysis Diet Diet, Reducing Diet, Reducing - adverse effects Diets eating habits epidemiology etiology Feeding. Feeding behavior Female Food, Formulated Food, Formulated - adverse effects fruit consumption Fruits Fundamental and applied biological sciences. Psychology Humans Hypertriglyceridemia Hypertriglyceridemia - etiology Incidence Longitudinal Studies Male Meat metabolic disorders metabolic syndrome Metabolic Syndrome - epidemiology Metabolic Syndrome - etiology Metabolic Syndrome - physiopathology Milk Nutrition Nutritional Epidemiology and Public Health nuts obesity physiopathology pizza Poultry poultry meat Proportional Hazards Models Prospective Studies regression analysis Risk Stratification triacylglycerols United States United States - epidemiology Vertebrates: anatomy and physiology, studies on body, several organs or systems Waist Circumference weight control whole grain foods Young Adult Young adults |
title | Dietary patterns matter: diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study |
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