Dietary patterns and cognitive function in Korean older adults
PURPOSE: The objectives of this study were to identify major dietary patterns and to investigate the association between dietary patterns and cognitive function in older adults. METHODS: This is a cross-sectional study. The data from the Korean Multi-Rural Communities Cohort Study, which is a part o...
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| Veröffentlicht in: | European journal of nutrition 2015-03, Vol.54 (2), p.309-318 |
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| creator | Kim, Jihye Yu, Areum Choi, Bo Youl Nam, Jung Hyun Kim, Mi Kyung Oh, Dong Hoon Kim, Kirang Yang, Yoon Jung |
| description | PURPOSE: The objectives of this study were to identify major dietary patterns and to investigate the association between dietary patterns and cognitive function in older adults. METHODS: This is a cross-sectional study. The data from the Korean Multi-Rural Communities Cohort Study, which is a part of the Korean Genome Epidemiology Study, were used. There were 806 (340 men and 466 women) subjects aged ≥60 years. Usual dietary intake was assessed using a quantitative food frequency questionnaire with 106 food items. Cognitive function was assessed using the Korean version Mini-Mental State Examination (MMSE-KC). We conducted factor analysis using the principal component analysis method to identify the major dietary patterns. The association between major dietary patterns and cognitive function was investigated by logistic regression analysis. RESULTS: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: “prudent” pattern, “bread, egg, and dairy” pattern, and “white rice only” pattern. As the white rice only pattern scores increased, a significant decreasing trend for MMSE-KC scores was observed after adjusting for covariates. The bread, egg, and dairy pattern was inversely related to the risk of cognitive impairment, and the white rice only pattern was positively associated with the risk of cognitive impairment. CONCLUSIONS: This study suggests that specific dietary patterns were significantly associated with cognitive impairment in older adults. In particular, like the white rice only pattern, a rice-centered diet without well-balanced meals may increase the risk of cognitive impairment. However, since our study is a cross-sectional design, the possibility of reverse causality should be considered. |
| doi_str_mv | 10.1007/s00394-014-0713-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1654701427</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3586176561</sourcerecordid><originalsourceid>FETCH-LOGICAL-c532t-266532d746e738fbe224982d33a347ca7fca49f7ebcce07957b4352311df46933</originalsourceid><addsrcrecordid>eNp9kM9LwzAYhoMobk7_AC9a8OKl-uVHm_UiyPyJAw-6c0jTdHR0yUxSwf_elM4hHjx8fIE875vwIHSK4QoD8GsPQAuWAo7DMU1hD40xo3maE5zt787AR-jI-xUAEJrjQzQibMoIh-kY3dw1Okj3lWxkCNoZn0hTJcouTROaT53UnVGhsSZpTPJinZYmsW2lXSKrrg3-GB3UsvX6ZLsnaPFw_z57Suevj8-z23mqMkpCSvI87oqzXHM6rUtNCCumpKJUUsaV5LWSrKi5LpXSwIuMl4xmhGJc1SwvKJ2gy6F34-xHp30Q68Yr3bbSaNt5gfOM8eiB8Ihe_EFXtnMm_q6nKNAsw30hHijlrPdO12LjmnUUITCIXq4Y5IpYKnq5AmLmbNvclWtd7RI_NiNABsDHK7PU7tfT_7SeD6FaWiGXrvFi8UYAZxAHY8LoN7SVi0M</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1653035513</pqid></control><display><type>article</type><title>Dietary patterns and cognitive function in Korean older adults</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Kim, Jihye ; Yu, Areum ; Choi, Bo Youl ; Nam, Jung Hyun ; Kim, Mi Kyung ; Oh, Dong Hoon ; Kim, Kirang ; Yang, Yoon Jung</creator><creatorcontrib>Kim, Jihye ; Yu, Areum ; Choi, Bo Youl ; Nam, Jung Hyun ; Kim, Mi Kyung ; Oh, Dong Hoon ; Kim, Kirang ; Yang, Yoon Jung</creatorcontrib><description>PURPOSE: The objectives of this study were to identify major dietary patterns and to investigate the association between dietary patterns and cognitive function in older adults. METHODS: This is a cross-sectional study. The data from the Korean Multi-Rural Communities Cohort Study, which is a part of the Korean Genome Epidemiology Study, were used. There were 806 (340 men and 466 women) subjects aged ≥60 years. Usual dietary intake was assessed using a quantitative food frequency questionnaire with 106 food items. Cognitive function was assessed using the Korean version Mini-Mental State Examination (MMSE-KC). We conducted factor analysis using the principal component analysis method to identify the major dietary patterns. The association between major dietary patterns and cognitive function was investigated by logistic regression analysis. RESULTS: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: “prudent” pattern, “bread, egg, and dairy” pattern, and “white rice only” pattern. As the white rice only pattern scores increased, a significant decreasing trend for MMSE-KC scores was observed after adjusting for covariates. The bread, egg, and dairy pattern was inversely related to the risk of cognitive impairment, and the white rice only pattern was positively associated with the risk of cognitive impairment. CONCLUSIONS: This study suggests that specific dietary patterns were significantly associated with cognitive impairment in older adults. In particular, like the white rice only pattern, a rice-centered diet without well-balanced meals may increase the risk of cognitive impairment. However, since our study is a cross-sectional design, the possibility of reverse causality should be considered.</description><identifier>ISSN: 1436-6207</identifier><identifier>EISSN: 1436-6215</identifier><identifier>DOI: 10.1007/s00394-014-0713-0</identifier><identifier>PMID: 24842708</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Aged ; Aged, 80 and over ; Aging - ethnology ; breads ; central nervous system diseases ; Chemistry ; Chemistry and Materials Science ; cognition ; Cognitive Dysfunction - epidemiology ; Cognitive Dysfunction - ethnology ; Cognitive Dysfunction - etiology ; Cognitive Dysfunction - prevention & control ; Cohort Studies ; Cross-Sectional Studies ; Diet - adverse effects ; Diet - ethnology ; eating habits ; eggs ; Elder Nutritional Physiological Phenomena ; elderly ; epidemiology ; factor analysis ; Female ; food frequency questionnaires ; Food Handling ; food intake ; genome ; Humans ; Male ; men ; Middle Aged ; Nutrition ; Nutrition Policy ; Nutrition Surveys ; Original Contribution ; Oryza - adverse effects ; Patient Compliance - ethnology ; Principal Component Analysis ; Psychiatric Status Rating Scales ; regression analysis ; Republic of Korea - epidemiology ; rice ; risk ; Risk Factors ; Rural Health - ethnology ; women</subject><ispartof>European journal of nutrition, 2015-03, Vol.54 (2), p.309-318</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>Springer-Verlag Berlin Heidelberg 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c532t-266532d746e738fbe224982d33a347ca7fca49f7ebcce07957b4352311df46933</citedby><cites>FETCH-LOGICAL-c532t-266532d746e738fbe224982d33a347ca7fca49f7ebcce07957b4352311df46933</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00394-014-0713-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00394-014-0713-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24842708$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Jihye</creatorcontrib><creatorcontrib>Yu, Areum</creatorcontrib><creatorcontrib>Choi, Bo Youl</creatorcontrib><creatorcontrib>Nam, Jung Hyun</creatorcontrib><creatorcontrib>Kim, Mi Kyung</creatorcontrib><creatorcontrib>Oh, Dong Hoon</creatorcontrib><creatorcontrib>Kim, Kirang</creatorcontrib><creatorcontrib>Yang, Yoon Jung</creatorcontrib><title>Dietary patterns and cognitive function in Korean older adults</title><title>European journal of nutrition</title><addtitle>Eur J Nutr</addtitle><addtitle>Eur J Nutr</addtitle><description>PURPOSE: The objectives of this study were to identify major dietary patterns and to investigate the association between dietary patterns and cognitive function in older adults. METHODS: This is a cross-sectional study. The data from the Korean Multi-Rural Communities Cohort Study, which is a part of the Korean Genome Epidemiology Study, were used. There were 806 (340 men and 466 women) subjects aged ≥60 years. Usual dietary intake was assessed using a quantitative food frequency questionnaire with 106 food items. Cognitive function was assessed using the Korean version Mini-Mental State Examination (MMSE-KC). We conducted factor analysis using the principal component analysis method to identify the major dietary patterns. The association between major dietary patterns and cognitive function was investigated by logistic regression analysis. RESULTS: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: “prudent” pattern, “bread, egg, and dairy” pattern, and “white rice only” pattern. As the white rice only pattern scores increased, a significant decreasing trend for MMSE-KC scores was observed after adjusting for covariates. The bread, egg, and dairy pattern was inversely related to the risk of cognitive impairment, and the white rice only pattern was positively associated with the risk of cognitive impairment. CONCLUSIONS: This study suggests that specific dietary patterns were significantly associated with cognitive impairment in older adults. In particular, like the white rice only pattern, a rice-centered diet without well-balanced meals may increase the risk of cognitive impairment. However, since our study is a cross-sectional design, the possibility of reverse causality should be considered.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging - ethnology</subject><subject>breads</subject><subject>central nervous system diseases</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>cognition</subject><subject>Cognitive Dysfunction - epidemiology</subject><subject>Cognitive Dysfunction - ethnology</subject><subject>Cognitive Dysfunction - etiology</subject><subject>Cognitive Dysfunction - prevention & control</subject><subject>Cohort Studies</subject><subject>Cross-Sectional Studies</subject><subject>Diet - adverse effects</subject><subject>Diet - ethnology</subject><subject>eating habits</subject><subject>eggs</subject><subject>Elder Nutritional Physiological Phenomena</subject><subject>elderly</subject><subject>epidemiology</subject><subject>factor analysis</subject><subject>Female</subject><subject>food frequency questionnaires</subject><subject>Food Handling</subject><subject>food intake</subject><subject>genome</subject><subject>Humans</subject><subject>Male</subject><subject>men</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Nutrition Policy</subject><subject>Nutrition Surveys</subject><subject>Original Contribution</subject><subject>Oryza - adverse effects</subject><subject>Patient Compliance - ethnology</subject><subject>Principal Component Analysis</subject><subject>Psychiatric Status Rating Scales</subject><subject>regression analysis</subject><subject>Republic of Korea - epidemiology</subject><subject>rice</subject><subject>risk</subject><subject>Risk Factors</subject><subject>Rural Health - ethnology</subject><subject>women</subject><issn>1436-6207</issn><issn>1436-6215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</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>eNp9kM9LwzAYhoMobk7_AC9a8OKl-uVHm_UiyPyJAw-6c0jTdHR0yUxSwf_elM4hHjx8fIE875vwIHSK4QoD8GsPQAuWAo7DMU1hD40xo3maE5zt787AR-jI-xUAEJrjQzQibMoIh-kY3dw1Okj3lWxkCNoZn0hTJcouTROaT53UnVGhsSZpTPJinZYmsW2lXSKrrg3-GB3UsvX6ZLsnaPFw_z57Suevj8-z23mqMkpCSvI87oqzXHM6rUtNCCumpKJUUsaV5LWSrKi5LpXSwIuMl4xmhGJc1SwvKJ2gy6F34-xHp30Q68Yr3bbSaNt5gfOM8eiB8Ihe_EFXtnMm_q6nKNAsw30hHijlrPdO12LjmnUUITCIXq4Y5IpYKnq5AmLmbNvclWtd7RI_NiNABsDHK7PU7tfT_7SeD6FaWiGXrvFi8UYAZxAHY8LoN7SVi0M</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Kim, Jihye</creator><creator>Yu, Areum</creator><creator>Choi, Bo Youl</creator><creator>Nam, Jung Hyun</creator><creator>Kim, Mi Kyung</creator><creator>Oh, Dong Hoon</creator><creator>Kim, Kirang</creator><creator>Yang, Yoon Jung</creator><general>Springer-Verlag</general><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>FBQ</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>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</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>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20150301</creationdate><title>Dietary patterns and cognitive function in Korean older adults</title><author>Kim, Jihye ; Yu, Areum ; Choi, Bo Youl ; Nam, Jung Hyun ; Kim, Mi Kyung ; Oh, Dong Hoon ; Kim, Kirang ; Yang, Yoon Jung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c532t-266532d746e738fbe224982d33a347ca7fca49f7ebcce07957b4352311df46933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging - ethnology</topic><topic>breads</topic><topic>central nervous system diseases</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>cognition</topic><topic>Cognitive Dysfunction - epidemiology</topic><topic>Cognitive Dysfunction - ethnology</topic><topic>Cognitive Dysfunction - etiology</topic><topic>Cognitive Dysfunction - prevention & control</topic><topic>Cohort Studies</topic><topic>Cross-Sectional Studies</topic><topic>Diet - adverse effects</topic><topic>Diet - ethnology</topic><topic>eating habits</topic><topic>eggs</topic><topic>Elder Nutritional Physiological Phenomena</topic><topic>elderly</topic><topic>epidemiology</topic><topic>factor analysis</topic><topic>Female</topic><topic>food frequency questionnaires</topic><topic>Food Handling</topic><topic>food intake</topic><topic>genome</topic><topic>Humans</topic><topic>Male</topic><topic>men</topic><topic>Middle Aged</topic><topic>Nutrition</topic><topic>Nutrition Policy</topic><topic>Nutrition Surveys</topic><topic>Original Contribution</topic><topic>Oryza - adverse effects</topic><topic>Patient Compliance - ethnology</topic><topic>Principal Component Analysis</topic><topic>Psychiatric Status Rating Scales</topic><topic>regression analysis</topic><topic>Republic of Korea - epidemiology</topic><topic>rice</topic><topic>risk</topic><topic>Risk Factors</topic><topic>Rural Health - ethnology</topic><topic>women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jihye</creatorcontrib><creatorcontrib>Yu, Areum</creatorcontrib><creatorcontrib>Choi, Bo Youl</creatorcontrib><creatorcontrib>Nam, Jung Hyun</creatorcontrib><creatorcontrib>Kim, Mi Kyung</creatorcontrib><creatorcontrib>Oh, Dong Hoon</creatorcontrib><creatorcontrib>Kim, Kirang</creatorcontrib><creatorcontrib>Yang, Yoon Jung</creatorcontrib><collection>AGRIS</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>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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><jtitle>European journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jihye</au><au>Yu, Areum</au><au>Choi, Bo Youl</au><au>Nam, Jung Hyun</au><au>Kim, Mi Kyung</au><au>Oh, Dong Hoon</au><au>Kim, Kirang</au><au>Yang, Yoon Jung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary patterns and cognitive function in Korean older adults</atitle><jtitle>European journal of nutrition</jtitle><stitle>Eur J Nutr</stitle><addtitle>Eur J Nutr</addtitle><date>2015-03-01</date><risdate>2015</risdate><volume>54</volume><issue>2</issue><spage>309</spage><epage>318</epage><pages>309-318</pages><issn>1436-6207</issn><eissn>1436-6215</eissn><abstract>PURPOSE: The objectives of this study were to identify major dietary patterns and to investigate the association between dietary patterns and cognitive function in older adults. METHODS: This is a cross-sectional study. The data from the Korean Multi-Rural Communities Cohort Study, which is a part of the Korean Genome Epidemiology Study, were used. There were 806 (340 men and 466 women) subjects aged ≥60 years. Usual dietary intake was assessed using a quantitative food frequency questionnaire with 106 food items. Cognitive function was assessed using the Korean version Mini-Mental State Examination (MMSE-KC). We conducted factor analysis using the principal component analysis method to identify the major dietary patterns. The association between major dietary patterns and cognitive function was investigated by logistic regression analysis. RESULTS: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: “prudent” pattern, “bread, egg, and dairy” pattern, and “white rice only” pattern. As the white rice only pattern scores increased, a significant decreasing trend for MMSE-KC scores was observed after adjusting for covariates. The bread, egg, and dairy pattern was inversely related to the risk of cognitive impairment, and the white rice only pattern was positively associated with the risk of cognitive impairment. CONCLUSIONS: This study suggests that specific dietary patterns were significantly associated with cognitive impairment in older adults. In particular, like the white rice only pattern, a rice-centered diet without well-balanced meals may increase the risk of cognitive impairment. However, since our study is a cross-sectional design, the possibility of reverse causality should be considered.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>24842708</pmid><doi>10.1007/s00394-014-0713-0</doi><tpages>10</tpages></addata></record> |
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| subjects | Aged Aged, 80 and over Aging - ethnology breads central nervous system diseases Chemistry Chemistry and Materials Science cognition Cognitive Dysfunction - epidemiology Cognitive Dysfunction - ethnology Cognitive Dysfunction - etiology Cognitive Dysfunction - prevention & control Cohort Studies Cross-Sectional Studies Diet - adverse effects Diet - ethnology eating habits eggs Elder Nutritional Physiological Phenomena elderly epidemiology factor analysis Female food frequency questionnaires Food Handling food intake genome Humans Male men Middle Aged Nutrition Nutrition Policy Nutrition Surveys Original Contribution Oryza - adverse effects Patient Compliance - ethnology Principal Component Analysis Psychiatric Status Rating Scales regression analysis Republic of Korea - epidemiology rice risk Risk Factors Rural Health - ethnology women |
| title | Dietary patterns and cognitive function in Korean older adults |
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