Dietary patterns and risk of nonfatal acute myocardial infarction in Costa Rican adults
Objective: To investigate the association between dietary patterns and risk of a first nonfatal acute myocardial infarction (MI) in Costa Rican adults. Design: Population-based case-control study. Subjects: A total of 496 incident MI cases and 518 population-based randomly selected controls matched...
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| Veröffentlicht in: | European journal of clinical nutrition 2006-06, Vol.60 (6), p.770-777 |
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| creator | Martinez-Ortiz, J.A Fung, T.T Baylin, A Hu, F.B Campos, H |
| description | Objective: To investigate the association between dietary patterns and risk of a first nonfatal acute myocardial infarction (MI) in Costa Rican adults. Design: Population-based case-control study. Subjects: A total of 496 incident MI cases and 518 population-based randomly selected controls matched to the cases by age (+/-5 years), gender, and county of residence. Subjects were interviewed with a validated food frequency questionnaire. Dietary patterns were identified by factor analysis. Odds ratios (OR) and 95% confidence intervals (CI) were obtained using multivariate conditional logistic regression adjusted for several recognized risk factors for MI. Results: Two diet patterns were identified, 'vegetable' characterized by increased intake of vegetables and fruits, and 'staple', characterized by an increased use of palm oil for cooking, and intake of refined grains (mostly white rice and white bread), legumes, coffee, added sugar, and red meat. Compared to the lowest quintile of the staple diet pattern, the highest quintile was associated with an increased risk of MI (OR: 3.70, 95% CI: 2.30-5.97). Adjusting for potential confounders did not change the results (OR: 3.53, 95% CI: 1.98-6.31). Consistently, an increasing staple pattern score was associated with lower HDL cholesterol (P for trend |
| doi_str_mv | 10.1038/sj.ejcn.1602381 |
| format | Article |
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Design: Population-based case-control study. Subjects: A total of 496 incident MI cases and 518 population-based randomly selected controls matched to the cases by age (+/-5 years), gender, and county of residence. Subjects were interviewed with a validated food frequency questionnaire. Dietary patterns were identified by factor analysis. Odds ratios (OR) and 95% confidence intervals (CI) were obtained using multivariate conditional logistic regression adjusted for several recognized risk factors for MI. Results: Two diet patterns were identified, 'vegetable' characterized by increased intake of vegetables and fruits, and 'staple', characterized by an increased use of palm oil for cooking, and intake of refined grains (mostly white rice and white bread), legumes, coffee, added sugar, and red meat. Compared to the lowest quintile of the staple diet pattern, the highest quintile was associated with an increased risk of MI (OR: 3.70, 95% CI: 2.30-5.97). Adjusting for potential confounders did not change the results (OR: 3.53, 95% CI: 1.98-6.31). Consistently, an increasing staple pattern score was associated with lower HDL cholesterol (P for trend <0.02) and alpha-linolenic acid in adipose tissue (P for trend <0.0001). The vegetable pattern was not associated with MI. Conclusions: The staple dietary pattern of Costa Rican adults is associated with low plasma HDL cholesterol, low alpha-linolenic acid in adipose tissue, and increased risk of MI.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/sj.ejcn.1602381</identifier><identifier>PMID: 16465200</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Acute Disease ; Adipose tissue ; Adipose Tissue - metabolism ; Adults ; alpha-Linolenic Acid - metabolism ; Biological and medical sciences ; Body fat ; Cardiology. Vascular system ; Cardiovascular disease ; Case studies ; Case-Control Studies ; Cholesterol ; Cholesterol, HDL - blood ; Clinical Nutrition ; Coffee ; Confidence Intervals ; Cooking ; Coronary heart disease ; Costa Rica - epidemiology ; Diet ; diet-related diseases ; eating habits ; Epidemiology ; Factor analysis ; Factor Analysis, Statistical ; Female ; food frequency questionnaires ; Fruit ; Fruits ; Glycemic Index ; Grain ; Heart ; Heart attacks ; High density lipoprotein ; Humans ; Internal Medicine ; Legumes ; Linolenic acid ; Logistic Models ; Male ; Meat ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Myocardial infarction ; Myocardial Infarction - blood ; Myocardial Infarction - epidemiology ; Myocarditis. Cardiomyopathies ; Nutrition ; Odds Ratio ; original-article ; Palm oil ; Population studies ; Public Health ; Risk analysis ; Risk Factors ; Statistical analysis ; Sugar ; Surveys and Questionnaires ; traditional foods ; Vegetables</subject><ispartof>European journal of clinical nutrition, 2006-06, Vol.60 (6), p.770-777</ispartof><rights>Springer Nature Limited 2006</rights><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2006 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Jun 2006</rights><rights>Nature Publishing Group 2006.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c626t-75cea621185527e22024f1b5b34e838c307b1cd4905e6f7b36fe288bea3cf63c3</citedby><cites>FETCH-LOGICAL-c626t-75cea621185527e22024f1b5b34e838c307b1cd4905e6f7b36fe288bea3cf63c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.ejcn.1602381$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.ejcn.1602381$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17803116$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16465200$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Martinez-Ortiz, J.A</creatorcontrib><creatorcontrib>Fung, T.T</creatorcontrib><creatorcontrib>Baylin, A</creatorcontrib><creatorcontrib>Hu, F.B</creatorcontrib><creatorcontrib>Campos, H</creatorcontrib><title>Dietary patterns and risk of nonfatal acute myocardial infarction in Costa Rican adults</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Objective: To investigate the association between dietary patterns and risk of a first nonfatal acute myocardial infarction (MI) in Costa Rican adults. Design: Population-based case-control study. Subjects: A total of 496 incident MI cases and 518 population-based randomly selected controls matched to the cases by age (+/-5 years), gender, and county of residence. Subjects were interviewed with a validated food frequency questionnaire. Dietary patterns were identified by factor analysis. Odds ratios (OR) and 95% confidence intervals (CI) were obtained using multivariate conditional logistic regression adjusted for several recognized risk factors for MI. Results: Two diet patterns were identified, 'vegetable' characterized by increased intake of vegetables and fruits, and 'staple', characterized by an increased use of palm oil for cooking, and intake of refined grains (mostly white rice and white bread), legumes, coffee, added sugar, and red meat. Compared to the lowest quintile of the staple diet pattern, the highest quintile was associated with an increased risk of MI (OR: 3.70, 95% CI: 2.30-5.97). Adjusting for potential confounders did not change the results (OR: 3.53, 95% CI: 1.98-6.31). Consistently, an increasing staple pattern score was associated with lower HDL cholesterol (P for trend <0.02) and alpha-linolenic acid in adipose tissue (P for trend <0.0001). The vegetable pattern was not associated with MI. Conclusions: The staple dietary pattern of Costa Rican adults is associated with low plasma HDL cholesterol, low alpha-linolenic acid in adipose tissue, and increased risk of MI.</description><subject>Acute Disease</subject><subject>Adipose tissue</subject><subject>Adipose Tissue - metabolism</subject><subject>Adults</subject><subject>alpha-Linolenic Acid - metabolism</subject><subject>Biological and medical sciences</subject><subject>Body fat</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular disease</subject><subject>Case studies</subject><subject>Case-Control Studies</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Clinical Nutrition</subject><subject>Coffee</subject><subject>Confidence Intervals</subject><subject>Cooking</subject><subject>Coronary heart disease</subject><subject>Costa Rica - epidemiology</subject><subject>Diet</subject><subject>diet-related diseases</subject><subject>eating habits</subject><subject>Epidemiology</subject><subject>Factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>food frequency questionnaires</subject><subject>Fruit</subject><subject>Fruits</subject><subject>Glycemic Index</subject><subject>Grain</subject><subject>Heart</subject><subject>Heart attacks</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Legumes</subject><subject>Linolenic acid</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Meat</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle Aged</subject><subject>Myocardial infarction</subject><subject>Myocardial Infarction - blood</subject><subject>Myocardial Infarction - epidemiology</subject><subject>Myocarditis. Cardiomyopathies</subject><subject>Nutrition</subject><subject>Odds Ratio</subject><subject>original-article</subject><subject>Palm oil</subject><subject>Population studies</subject><subject>Public Health</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Statistical analysis</subject><subject>Sugar</subject><subject>Surveys and Questionnaires</subject><subject>traditional foods</subject><subject>Vegetables</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp90s9v0zAUB_AIgdgYnLlBBGKc0vlX7PQ4lZ_SJCRg4mi9OM-dS2oX2znsv8dRKxXQhnJIZH-eHT9_q-o5JQtKeHeRNgvcGL-gkjDe0QfVKRVKNq0U5GF1SpataDgh6qR6ktKGkDKp2OPqhEohW0bIafXjncMM8bbeQc4YfarBD3V06WcdbO2Dt5BhrMFMGevtbTAQB1cGXJmIJrvgy2e9CilD_dUZ8DUM05jT0-qRhTHhs8P7rLr-8P776lNz9eXj59XlVWMkk7lRrUGQjNKubZlCxggTlvZtzwV2vDOcqJ6aQSxJi9KqnkuLrOt6BG6s5IafVW_36-5i-DVhynrrksFxBI9hSlq1oluKpVBFnv9Xyo5wIqQo8PU_cBOm6MspNJOCyaWUtC3q1b2KFlI6TAtq9mgNI-rSs5AjmDV6jDAGj9aV4Us6_yCRRBa_uMOXZ8CtM3cWnP9RcIMw5psUxmm-mPQ3vNhDE0NKEa3eRbctF68p0XOUdNroOUr6EKVS8eJwwKnf4nD0h-wU8OYAIBkYbQRvXDo6VRpK6bw12btUpvwa47FT9-_9cl9iIWhYlzjq62-M0DnLQlBF-G-XBugD</recordid><startdate>20060601</startdate><enddate>20060601</enddate><creator>Martinez-Ortiz, J.A</creator><creator>Fung, T.T</creator><creator>Baylin, A</creator><creator>Hu, F.B</creator><creator>Campos, H</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</general><scope>FBQ</scope><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>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20060601</creationdate><title>Dietary patterns and risk of nonfatal acute myocardial infarction in Costa Rican adults</title><author>Martinez-Ortiz, J.A ; Fung, T.T ; Baylin, A ; Hu, F.B ; Campos, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c626t-75cea621185527e22024f1b5b34e838c307b1cd4905e6f7b36fe288bea3cf63c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Acute Disease</topic><topic>Adipose tissue</topic><topic>Adipose Tissue - metabolism</topic><topic>Adults</topic><topic>alpha-Linolenic Acid - metabolism</topic><topic>Biological and medical sciences</topic><topic>Body fat</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular disease</topic><topic>Case studies</topic><topic>Case-Control Studies</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Clinical Nutrition</topic><topic>Coffee</topic><topic>Confidence Intervals</topic><topic>Cooking</topic><topic>Coronary heart disease</topic><topic>Costa Rica - epidemiology</topic><topic>Diet</topic><topic>diet-related diseases</topic><topic>eating habits</topic><topic>Epidemiology</topic><topic>Factor analysis</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>food frequency questionnaires</topic><topic>Fruit</topic><topic>Fruits</topic><topic>Glycemic Index</topic><topic>Grain</topic><topic>Heart</topic><topic>Heart attacks</topic><topic>High density lipoprotein</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Legumes</topic><topic>Linolenic acid</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Meat</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle Aged</topic><topic>Myocardial infarction</topic><topic>Myocardial Infarction - blood</topic><topic>Myocardial Infarction - epidemiology</topic><topic>Myocarditis. Cardiomyopathies</topic><topic>Nutrition</topic><topic>Odds Ratio</topic><topic>original-article</topic><topic>Palm oil</topic><topic>Population studies</topic><topic>Public Health</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Statistical analysis</topic><topic>Sugar</topic><topic>Surveys and Questionnaires</topic><topic>traditional foods</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martinez-Ortiz, J.A</creatorcontrib><creatorcontrib>Fung, T.T</creatorcontrib><creatorcontrib>Baylin, A</creatorcontrib><creatorcontrib>Hu, F.B</creatorcontrib><creatorcontrib>Campos, H</creatorcontrib><collection>AGRIS</collection><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>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martinez-Ortiz, J.A</au><au>Fung, T.T</au><au>Baylin, A</au><au>Hu, F.B</au><au>Campos, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary patterns and risk of nonfatal acute myocardial infarction in Costa Rican adults</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2006-06-01</date><risdate>2006</risdate><volume>60</volume><issue>6</issue><spage>770</spage><epage>777</epage><pages>770-777</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Objective: To investigate the association between dietary patterns and risk of a first nonfatal acute myocardial infarction (MI) in Costa Rican adults. Design: Population-based case-control study. Subjects: A total of 496 incident MI cases and 518 population-based randomly selected controls matched to the cases by age (+/-5 years), gender, and county of residence. Subjects were interviewed with a validated food frequency questionnaire. Dietary patterns were identified by factor analysis. Odds ratios (OR) and 95% confidence intervals (CI) were obtained using multivariate conditional logistic regression adjusted for several recognized risk factors for MI. Results: Two diet patterns were identified, 'vegetable' characterized by increased intake of vegetables and fruits, and 'staple', characterized by an increased use of palm oil for cooking, and intake of refined grains (mostly white rice and white bread), legumes, coffee, added sugar, and red meat. Compared to the lowest quintile of the staple diet pattern, the highest quintile was associated with an increased risk of MI (OR: 3.70, 95% CI: 2.30-5.97). Adjusting for potential confounders did not change the results (OR: 3.53, 95% CI: 1.98-6.31). Consistently, an increasing staple pattern score was associated with lower HDL cholesterol (P for trend <0.02) and alpha-linolenic acid in adipose tissue (P for trend <0.0001). The vegetable pattern was not associated with MI. Conclusions: The staple dietary pattern of Costa Rican adults is associated with low plasma HDL cholesterol, low alpha-linolenic acid in adipose tissue, and increased risk of MI.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>16465200</pmid><doi>10.1038/sj.ejcn.1602381</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Acute Disease Adipose tissue Adipose Tissue - metabolism Adults alpha-Linolenic Acid - metabolism Biological and medical sciences Body fat Cardiology. Vascular system Cardiovascular disease Case studies Case-Control Studies Cholesterol Cholesterol, HDL - blood Clinical Nutrition Coffee Confidence Intervals Cooking Coronary heart disease Costa Rica - epidemiology Diet diet-related diseases eating habits Epidemiology Factor analysis Factor Analysis, Statistical Female food frequency questionnaires Fruit Fruits Glycemic Index Grain Heart Heart attacks High density lipoprotein Humans Internal Medicine Legumes Linolenic acid Logistic Models Male Meat Medical sciences Medicine Medicine & Public Health Metabolic Diseases Middle Aged Myocardial infarction Myocardial Infarction - blood Myocardial Infarction - epidemiology Myocarditis. Cardiomyopathies Nutrition Odds Ratio original-article Palm oil Population studies Public Health Risk analysis Risk Factors Statistical analysis Sugar Surveys and Questionnaires traditional foods Vegetables |
| title | Dietary patterns and risk of nonfatal acute myocardial infarction in Costa Rican adults |
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