Association between nutrition and cognition in a multi-ethnic cohort from Singapore
Background Nutrition, a modifiable risk factor, presents a low-cost prevention strategy to reduce the burden of cognitive impairment and dementia. However, studies examining the effects of dietary patterns on cognition are lacking in multi-ethnic Asian populations. We investigate the association bet...
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Veröffentlicht in: | European journal of nutrition 2023-09, Vol.62 (6), p.2387-2397 |
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description | Background
Nutrition, a modifiable risk factor, presents a low-cost prevention strategy to reduce the burden of cognitive impairment and dementia. However, studies examining the effects of dietary patterns on cognition are lacking in multi-ethnic Asian populations. We investigate the association between diet quality, measured with the Alternative Healthy Eating Index (AHEI)-2010, and cognitive impairment in middle-aged and older adults of different ethnicities (Chinese, Malay, Indian) in Singapore.
Methods
This cross-sectional study (
n
= 3138; mean age: 50.4 ± 9.8, 58.4% women) was based on data from the Singapore Multi-Ethnic Cohort. Dietary intake collected with a validated semi-quantitative Food Frequency Questionnaire was converted into AHEI-2010 scores. Cognition, assessed with the Mini-Mental State Examination (MMSE), was analysed as a continuous or binary outcome (cognitively impaired or not, using cut-offs of ≥ 24, 26 or 28 for no education, primary school education and secondary school education and above). Multivariable linear and logistic regression models were used to examine associations between AHEI-2010 and cognition, adjusting for covariates.
Results
A total of 988 (31.5%) participants had cognitive impairment. Higher AHEI-2010 scores were significantly associated with higher MMSE scores [
β
= 0.44; 95% confidence interval (CI) 0.22–0.67 highest vs. lowest quartile;
p
-trend |
doi_str_mv | 10.1007/s00394-023-03156-2 |
format | Article |
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Nutrition, a modifiable risk factor, presents a low-cost prevention strategy to reduce the burden of cognitive impairment and dementia. However, studies examining the effects of dietary patterns on cognition are lacking in multi-ethnic Asian populations. We investigate the association between diet quality, measured with the Alternative Healthy Eating Index (AHEI)-2010, and cognitive impairment in middle-aged and older adults of different ethnicities (Chinese, Malay, Indian) in Singapore.
Methods
This cross-sectional study (
n
= 3138; mean age: 50.4 ± 9.8, 58.4% women) was based on data from the Singapore Multi-Ethnic Cohort. Dietary intake collected with a validated semi-quantitative Food Frequency Questionnaire was converted into AHEI-2010 scores. Cognition, assessed with the Mini-Mental State Examination (MMSE), was analysed as a continuous or binary outcome (cognitively impaired or not, using cut-offs of ≥ 24, 26 or 28 for no education, primary school education and secondary school education and above). Multivariable linear and logistic regression models were used to examine associations between AHEI-2010 and cognition, adjusting for covariates.
Results
A total of 988 (31.5%) participants had cognitive impairment. Higher AHEI-2010 scores were significantly associated with higher MMSE scores [
β
= 0.44; 95% confidence interval (CI) 0.22–0.67 highest vs. lowest quartile;
p
-trend < 0.001] and lower odds of cognitive impairment [OR 0.69; 95% CI 0.54–0.88;
p
-trend = 0.01] after adjusting for all the covariates. No significant associations were observed for individual dietary components of the AHEI-2010 with MMSE or cognitive impairment.
Conclusion
Healthier dietary patterns were associated with better cognitive function in middle-aged and older Singaporeans. These findings could inform better support to promote healthier dietary patterns in Asian populations.</description><identifier>ISSN: 1436-6207</identifier><identifier>EISSN: 1436-6215</identifier><identifier>DOI: 10.1007/s00394-023-03156-2</identifier><identifier>PMID: 37103610</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Chemistry ; Chemistry and Materials Science ; cognition ; Cognition & reasoning ; Cognitive ability ; cognitive disorders ; confidence interval ; cross-sectional studies ; dementia ; Dementia disorders ; Dietary intake ; elementary schools ; Food conversion ; food frequency questionnaires ; food intake ; food quality ; Middle age ; nationalities and ethnic groups ; Nutrition ; Original Contribution ; Regression analysis ; Risk factors ; secondary education ; Singapore</subject><ispartof>European journal of nutrition, 2023-09, Vol.62 (6), p.2387-2397</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-d587986e244ade7a0c9292951e1482623b9157495f90b660dbc5fbf352d8641e3</citedby><cites>FETCH-LOGICAL-c408t-d587986e244ade7a0c9292951e1482623b9157495f90b660dbc5fbf352d8641e3</cites><orcidid>0000-0001-5434-5635</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00394-023-03156-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00394-023-03156-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37103610$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Xiangyuan</creatorcontrib><creatorcontrib>Tan, Zher Min</creatorcontrib><creatorcontrib>Tan, Chuen Seng</creatorcontrib><creatorcontrib>Ng, Yi Lin</creatorcontrib><creatorcontrib>van Dam, Rob M.</creatorcontrib><creatorcontrib>Hilal, Saima</creatorcontrib><title>Association between nutrition and cognition in a multi-ethnic cohort from Singapore</title><title>European journal of nutrition</title><addtitle>Eur J Nutr</addtitle><addtitle>Eur J Nutr</addtitle><description>Background
Nutrition, a modifiable risk factor, presents a low-cost prevention strategy to reduce the burden of cognitive impairment and dementia. However, studies examining the effects of dietary patterns on cognition are lacking in multi-ethnic Asian populations. We investigate the association between diet quality, measured with the Alternative Healthy Eating Index (AHEI)-2010, and cognitive impairment in middle-aged and older adults of different ethnicities (Chinese, Malay, Indian) in Singapore.
Methods
This cross-sectional study (
n
= 3138; mean age: 50.4 ± 9.8, 58.4% women) was based on data from the Singapore Multi-Ethnic Cohort. Dietary intake collected with a validated semi-quantitative Food Frequency Questionnaire was converted into AHEI-2010 scores. Cognition, assessed with the Mini-Mental State Examination (MMSE), was analysed as a continuous or binary outcome (cognitively impaired or not, using cut-offs of ≥ 24, 26 or 28 for no education, primary school education and secondary school education and above). Multivariable linear and logistic regression models were used to examine associations between AHEI-2010 and cognition, adjusting for covariates.
Results
A total of 988 (31.5%) participants had cognitive impairment. Higher AHEI-2010 scores were significantly associated with higher MMSE scores [
β
= 0.44; 95% confidence interval (CI) 0.22–0.67 highest vs. lowest quartile;
p
-trend < 0.001] and lower odds of cognitive impairment [OR 0.69; 95% CI 0.54–0.88;
p
-trend = 0.01] after adjusting for all the covariates. No significant associations were observed for individual dietary components of the AHEI-2010 with MMSE or cognitive impairment.
Conclusion
Healthier dietary patterns were associated with better cognitive function in middle-aged and older Singaporeans. These findings could inform better support to promote healthier dietary patterns in Asian populations.</description><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>cognition</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>cognitive disorders</subject><subject>confidence interval</subject><subject>cross-sectional studies</subject><subject>dementia</subject><subject>Dementia disorders</subject><subject>Dietary intake</subject><subject>elementary schools</subject><subject>Food conversion</subject><subject>food frequency questionnaires</subject><subject>food intake</subject><subject>food quality</subject><subject>Middle age</subject><subject>nationalities and ethnic groups</subject><subject>Nutrition</subject><subject>Original Contribution</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>secondary education</subject><subject>Singapore</subject><issn>1436-6207</issn><issn>1436-6215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkU1LAzEQhoMoVqt_wIMsePGyOvneHEX8AsFD9Rz2I9tGuklNdhH_vbFbK3hQcpjJzDNvmLwInWC4wADyMgJQxXIgNAeKucjJDjrAjIpcEMx3tznICTqM8RUgoQLvowmVGFIGB2h2FaOvbdlb77LK9O_GuMwNfbDrSumarPZzN95sKmTdsOxtbvqFs3XqLXzoszb4LptZNy9XPpgjtNeWy2iON3GKXm5vnq_v88enu4frq8e8ZlD0ecMLqQphCGNlY2QJtSLpcGwwK4ggtFKYS6Z4q6ASApqq5m3VUk6aQjBs6BSdj7qr4N8GE3vd2Vib5bJ0xg9RU2DAJBGC_YuSAoRSTAiV0LNf6KsfgkuLJIopLAXhMlFkpOrgYwym1atguzJ8aAz6yx09uqPTl-u1O5qkodON9FB1ptmOfNuRADoCMbXc3ISft_-Q_QS9Fph3</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Huang, Xiangyuan</creator><creator>Tan, Zher Min</creator><creator>Tan, Chuen Seng</creator><creator>Ng, Yi Lin</creator><creator>van Dam, Rob M.</creator><creator>Hilal, Saima</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-5434-5635</orcidid></search><sort><creationdate>20230901</creationdate><title>Association between nutrition and cognition in a multi-ethnic cohort from Singapore</title><author>Huang, Xiangyuan ; Tan, Zher Min ; Tan, Chuen Seng ; Ng, Yi Lin ; van Dam, Rob M. ; Hilal, Saima</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-d587986e244ade7a0c9292951e1482623b9157495f90b660dbc5fbf352d8641e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>cognition</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>cognitive disorders</topic><topic>confidence interval</topic><topic>cross-sectional studies</topic><topic>dementia</topic><topic>Dementia disorders</topic><topic>Dietary intake</topic><topic>elementary schools</topic><topic>Food conversion</topic><topic>food frequency questionnaires</topic><topic>food intake</topic><topic>food quality</topic><topic>Middle age</topic><topic>nationalities and ethnic groups</topic><topic>Nutrition</topic><topic>Original Contribution</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>secondary education</topic><topic>Singapore</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Xiangyuan</creatorcontrib><creatorcontrib>Tan, Zher Min</creatorcontrib><creatorcontrib>Tan, Chuen Seng</creatorcontrib><creatorcontrib>Ng, Yi Lin</creatorcontrib><creatorcontrib>van Dam, Rob M.</creatorcontrib><creatorcontrib>Hilal, Saima</creatorcontrib><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>ProQuest 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><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>European journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Xiangyuan</au><au>Tan, Zher Min</au><au>Tan, Chuen Seng</au><au>Ng, Yi Lin</au><au>van Dam, Rob M.</au><au>Hilal, Saima</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between nutrition and cognition in a multi-ethnic cohort from Singapore</atitle><jtitle>European journal of nutrition</jtitle><stitle>Eur J Nutr</stitle><addtitle>Eur J Nutr</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>62</volume><issue>6</issue><spage>2387</spage><epage>2397</epage><pages>2387-2397</pages><issn>1436-6207</issn><eissn>1436-6215</eissn><abstract>Background
Nutrition, a modifiable risk factor, presents a low-cost prevention strategy to reduce the burden of cognitive impairment and dementia. However, studies examining the effects of dietary patterns on cognition are lacking in multi-ethnic Asian populations. We investigate the association between diet quality, measured with the Alternative Healthy Eating Index (AHEI)-2010, and cognitive impairment in middle-aged and older adults of different ethnicities (Chinese, Malay, Indian) in Singapore.
Methods
This cross-sectional study (
n
= 3138; mean age: 50.4 ± 9.8, 58.4% women) was based on data from the Singapore Multi-Ethnic Cohort. Dietary intake collected with a validated semi-quantitative Food Frequency Questionnaire was converted into AHEI-2010 scores. Cognition, assessed with the Mini-Mental State Examination (MMSE), was analysed as a continuous or binary outcome (cognitively impaired or not, using cut-offs of ≥ 24, 26 or 28 for no education, primary school education and secondary school education and above). Multivariable linear and logistic regression models were used to examine associations between AHEI-2010 and cognition, adjusting for covariates.
Results
A total of 988 (31.5%) participants had cognitive impairment. Higher AHEI-2010 scores were significantly associated with higher MMSE scores [
β
= 0.44; 95% confidence interval (CI) 0.22–0.67 highest vs. lowest quartile;
p
-trend < 0.001] and lower odds of cognitive impairment [OR 0.69; 95% CI 0.54–0.88;
p
-trend = 0.01] after adjusting for all the covariates. No significant associations were observed for individual dietary components of the AHEI-2010 with MMSE or cognitive impairment.
Conclusion
Healthier dietary patterns were associated with better cognitive function in middle-aged and older Singaporeans. These findings could inform better support to promote healthier dietary patterns in Asian populations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37103610</pmid><doi>10.1007/s00394-023-03156-2</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-5434-5635</orcidid></addata></record> |
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subjects | Chemistry Chemistry and Materials Science cognition Cognition & reasoning Cognitive ability cognitive disorders confidence interval cross-sectional studies dementia Dementia disorders Dietary intake elementary schools Food conversion food frequency questionnaires food intake food quality Middle age nationalities and ethnic groups Nutrition Original Contribution Regression analysis Risk factors secondary education Singapore |
title | Association between nutrition and cognition in a multi-ethnic cohort from Singapore |
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