Loading…
Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study
We examined whether trajectories of dietary patterns from 6 to 24 months of age are associated with intelligence quotient (IQ) in childhood and adolescence. Participants were children enrolled in a prospective UK birth cohort (n = 7,652) who had IQ measured at age 8 and/or 15 years. Dietary patterns...
Saved in:
Published in: | PloS one 2013-03, Vol.8 (3), p.e58904-e58904 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83 |
---|---|
cites | cdi_FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83 |
container_end_page | e58904 |
container_issue | 3 |
container_start_page | e58904 |
container_title | PloS one |
container_volume | 8 |
creator | Smithers, Lisa G Golley, Rebecca K Mittinty, Murthy N Brazionis, Laima Northstone, Kate Emmett, Pauline Lynch, John W |
description | We examined whether trajectories of dietary patterns from 6 to 24 months of age are associated with intelligence quotient (IQ) in childhood and adolescence.
Participants were children enrolled in a prospective UK birth cohort (n = 7,652) who had IQ measured at age 8 and/or 15 years. Dietary patterns were previously extracted from questionnaires when children were aged 6, 15 and 24 months using principal component analysis. Dietary trajectories were generated by combining scores on similar dietary patterns across each age, using multilevel mixed models. Associations between dietary trajectories and IQ were examined in generalized linear models with adjustment for potential confounders.
Four dietary pattern trajectories were constructed from 6 to 24 months of age and were named according to foods that made the strongest contribution to trajectory scores; Healthy (characterised by breastfeeding at 6 months, raw fruit and vegetables, cheese and herbs at 15 and 24 months); Discretionary (biscuits, chocolate, crisps at all ages), Traditional (meat, cooked vegetables and puddings at all ages) and, Ready-to-eat (use of ready-prepared baby foods at 6 and 15 months, biscuits, bread and breakfast cereals at 24 months). In fully-adjusted models, a 1 SD change in the Healthy trajectory was weakly associated with higher IQ at age 8 (1.07 (95%CI 0.17, 1.97)) but not 15 years (0.49 (-0.28, 1.26)). Associations between the Discretionary and Traditional trajectories with IQ at 8 and 15 years were as follows; Discretionary; 8 years -0.35(-1.03, 0.33), 15 years -0.73(-1.33, -0.14) Traditional; 8 years -0.19(-0.71, 0.33)15 years -0.41(-0.77, -0.04)). The Ready-to-eat trajectory had no association with IQ at either age (8 years 0.32(-4.31, 4.95), 15 years 1.11(-3.10, 5.33).
The Discretionary and Traditional dietary pattern trajectories from 6 to 24 months of age, over the period when food patterns begin to emerge, are weakly associated with IQ in adolescence. |
doi_str_mv | 10.1371/journal.pone.0058904 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1330898429</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A478291453</galeid><doaj_id>oai_doaj_org_article_cfec440fc52c4ac78c596605be38f027</doaj_id><sourcerecordid>A478291453</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83</originalsourceid><addsrcrecordid>eNqNk11vFCEUhidGY2v1HxglMTF6sSsMwwxzo2nq1yZNGuvHLWHgsMOGHVZgqv0X_mSZ7rbpml6YuWA4POc98MIpiqcEzwltyJuVH8Mg3XzjB5hjzHiLq3vFIWlpOatLTO_f-j8oHsW4yhDldf2wOCgpIzVrqsPiz3uPtIUkwyVKQa5AJR8sRNRB-gUwIDsYOahLJAeNktfaQei911PcjTAoQIsveYJUb52-WplIqb2DqKb1d-gc4uhSRCb4NZJoE3zc5Dr2AlBnQ-qR8r0PCcU06svHxQMjXYQnu_Go-P7xw7eTz7PTs0-Lk-PTmarbMs04V4QxThivZKU5bahWTYdxbUjLa6OZ1nnWGMw7rlrdUSaNNA3DBKSuDKdHxfOt7sb5KHZmRkEoxbzlVdlmYrEltJcrsQl2nU0SXlpxFfBhKWRIVjkQyoCqKmwUK1UlVcMVa-sasw4oN7hsstbbXbWxW4POxmSz3Z7o_spge7H0F4JmIcpwFni1Ewj-5wgxibXN_jonB_DjtG_SkobU7bTvF_-gd59uRy1lPkC-TZ_rqklUHFcNL1tSMZqp-R1U_jSsrcovz9gc30t4vZeQmQS_01KOMYrF1_P_Z89-7LMvb7E9SJf66N2YrB_iPlhtQZWfWQxgbkwmWEyNc-2GmBpH7Bonpz27fUE3SdedQv8CS-0V4g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1330898429</pqid></control><display><type>article</type><title>Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed Central</source><creator>Smithers, Lisa G ; Golley, Rebecca K ; Mittinty, Murthy N ; Brazionis, Laima ; Northstone, Kate ; Emmett, Pauline ; Lynch, John W</creator><contributor>Kappen, Claudia</contributor><creatorcontrib>Smithers, Lisa G ; Golley, Rebecca K ; Mittinty, Murthy N ; Brazionis, Laima ; Northstone, Kate ; Emmett, Pauline ; Lynch, John W ; Kappen, Claudia</creatorcontrib><description>We examined whether trajectories of dietary patterns from 6 to 24 months of age are associated with intelligence quotient (IQ) in childhood and adolescence.
Participants were children enrolled in a prospective UK birth cohort (n = 7,652) who had IQ measured at age 8 and/or 15 years. Dietary patterns were previously extracted from questionnaires when children were aged 6, 15 and 24 months using principal component analysis. Dietary trajectories were generated by combining scores on similar dietary patterns across each age, using multilevel mixed models. Associations between dietary trajectories and IQ were examined in generalized linear models with adjustment for potential confounders.
Four dietary pattern trajectories were constructed from 6 to 24 months of age and were named according to foods that made the strongest contribution to trajectory scores; Healthy (characterised by breastfeeding at 6 months, raw fruit and vegetables, cheese and herbs at 15 and 24 months); Discretionary (biscuits, chocolate, crisps at all ages), Traditional (meat, cooked vegetables and puddings at all ages) and, Ready-to-eat (use of ready-prepared baby foods at 6 and 15 months, biscuits, bread and breakfast cereals at 24 months). In fully-adjusted models, a 1 SD change in the Healthy trajectory was weakly associated with higher IQ at age 8 (1.07 (95%CI 0.17, 1.97)) but not 15 years (0.49 (-0.28, 1.26)). Associations between the Discretionary and Traditional trajectories with IQ at 8 and 15 years were as follows; Discretionary; 8 years -0.35(-1.03, 0.33), 15 years -0.73(-1.33, -0.14) Traditional; 8 years -0.19(-0.71, 0.33)15 years -0.41(-0.77, -0.04)). The Ready-to-eat trajectory had no association with IQ at either age (8 years 0.32(-4.31, 4.95), 15 years 1.11(-3.10, 5.33).
The Discretionary and Traditional dietary pattern trajectories from 6 to 24 months of age, over the period when food patterns begin to emerge, are weakly associated with IQ in adolescence.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0058904</identifier><identifier>PMID: 23516574</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescence ; Adolescent ; Adolescents ; Adult ; Age ; Analysis ; Biology ; Biometrics ; Births ; Biscuits ; Bread ; Breakfast cereals ; Breast feeding ; Breastfeeding & lactation ; Caregivers ; Cereals ; Cheese ; Child ; Child development ; Childhood ; Children ; Children & youth ; Chocolate ; Cognitive ability ; Cognitive development ; Cohort analysis ; Cohort Studies ; Dairy products ; Diet ; Diet - statistics & numerical data ; Discipline ; Ethics ; Female ; Food ; Generalized linear models ; Humans ; Infant ; Intelligence ; Longitudinal Studies ; Male ; Meat ; Medicine ; Multilevel ; Multivariate analysis ; Parturition ; Pregnancy ; Principal components analysis ; Prospective Studies ; Public health ; Questionnaires ; Researchers ; Snack foods ; Social and Behavioral Sciences ; Sociodemographics ; Statistical models ; Studies ; Teenagers ; Trajectory analysis ; Vegetables</subject><ispartof>PloS one, 2013-03, Vol.8 (3), p.e58904-e58904</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Smithers et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Smithers et al 2013 Smithers et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83</citedby><cites>FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1330898429/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1330898429?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23516574$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kappen, Claudia</contributor><creatorcontrib>Smithers, Lisa G</creatorcontrib><creatorcontrib>Golley, Rebecca K</creatorcontrib><creatorcontrib>Mittinty, Murthy N</creatorcontrib><creatorcontrib>Brazionis, Laima</creatorcontrib><creatorcontrib>Northstone, Kate</creatorcontrib><creatorcontrib>Emmett, Pauline</creatorcontrib><creatorcontrib>Lynch, John W</creatorcontrib><title>Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We examined whether trajectories of dietary patterns from 6 to 24 months of age are associated with intelligence quotient (IQ) in childhood and adolescence.
Participants were children enrolled in a prospective UK birth cohort (n = 7,652) who had IQ measured at age 8 and/or 15 years. Dietary patterns were previously extracted from questionnaires when children were aged 6, 15 and 24 months using principal component analysis. Dietary trajectories were generated by combining scores on similar dietary patterns across each age, using multilevel mixed models. Associations between dietary trajectories and IQ were examined in generalized linear models with adjustment for potential confounders.
Four dietary pattern trajectories were constructed from 6 to 24 months of age and were named according to foods that made the strongest contribution to trajectory scores; Healthy (characterised by breastfeeding at 6 months, raw fruit and vegetables, cheese and herbs at 15 and 24 months); Discretionary (biscuits, chocolate, crisps at all ages), Traditional (meat, cooked vegetables and puddings at all ages) and, Ready-to-eat (use of ready-prepared baby foods at 6 and 15 months, biscuits, bread and breakfast cereals at 24 months). In fully-adjusted models, a 1 SD change in the Healthy trajectory was weakly associated with higher IQ at age 8 (1.07 (95%CI 0.17, 1.97)) but not 15 years (0.49 (-0.28, 1.26)). Associations between the Discretionary and Traditional trajectories with IQ at 8 and 15 years were as follows; Discretionary; 8 years -0.35(-1.03, 0.33), 15 years -0.73(-1.33, -0.14) Traditional; 8 years -0.19(-0.71, 0.33)15 years -0.41(-0.77, -0.04)). The Ready-to-eat trajectory had no association with IQ at either age (8 years 0.32(-4.31, 4.95), 15 years 1.11(-3.10, 5.33).
The Discretionary and Traditional dietary pattern trajectories from 6 to 24 months of age, over the period when food patterns begin to emerge, are weakly associated with IQ in adolescence.</description><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>Age</subject><subject>Analysis</subject><subject>Biology</subject><subject>Biometrics</subject><subject>Births</subject><subject>Biscuits</subject><subject>Bread</subject><subject>Breakfast cereals</subject><subject>Breast feeding</subject><subject>Breastfeeding & lactation</subject><subject>Caregivers</subject><subject>Cereals</subject><subject>Cheese</subject><subject>Child</subject><subject>Child development</subject><subject>Childhood</subject><subject>Children</subject><subject>Children & youth</subject><subject>Chocolate</subject><subject>Cognitive ability</subject><subject>Cognitive development</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Dairy products</subject><subject>Diet</subject><subject>Diet - statistics & numerical data</subject><subject>Discipline</subject><subject>Ethics</subject><subject>Female</subject><subject>Food</subject><subject>Generalized linear models</subject><subject>Humans</subject><subject>Infant</subject><subject>Intelligence</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Meat</subject><subject>Medicine</subject><subject>Multilevel</subject><subject>Multivariate analysis</subject><subject>Parturition</subject><subject>Pregnancy</subject><subject>Principal components analysis</subject><subject>Prospective Studies</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Researchers</subject><subject>Snack foods</subject><subject>Social and Behavioral Sciences</subject><subject>Sociodemographics</subject><subject>Statistical models</subject><subject>Studies</subject><subject>Teenagers</subject><subject>Trajectory analysis</subject><subject>Vegetables</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11vFCEUhidGY2v1HxglMTF6sSsMwwxzo2nq1yZNGuvHLWHgsMOGHVZgqv0X_mSZ7rbpml6YuWA4POc98MIpiqcEzwltyJuVH8Mg3XzjB5hjzHiLq3vFIWlpOatLTO_f-j8oHsW4yhDldf2wOCgpIzVrqsPiz3uPtIUkwyVKQa5AJR8sRNRB-gUwIDsYOahLJAeNktfaQei911PcjTAoQIsveYJUb52-WplIqb2DqKb1d-gc4uhSRCb4NZJoE3zc5Dr2AlBnQ-qR8r0PCcU06svHxQMjXYQnu_Go-P7xw7eTz7PTs0-Lk-PTmarbMs04V4QxThivZKU5bahWTYdxbUjLa6OZ1nnWGMw7rlrdUSaNNA3DBKSuDKdHxfOt7sb5KHZmRkEoxbzlVdlmYrEltJcrsQl2nU0SXlpxFfBhKWRIVjkQyoCqKmwUK1UlVcMVa-sasw4oN7hsstbbXbWxW4POxmSz3Z7o_spge7H0F4JmIcpwFni1Ewj-5wgxibXN_jonB_DjtG_SkobU7bTvF_-gd59uRy1lPkC-TZ_rqklUHFcNL1tSMZqp-R1U_jSsrcovz9gc30t4vZeQmQS_01KOMYrF1_P_Z89-7LMvb7E9SJf66N2YrB_iPlhtQZWfWQxgbkwmWEyNc-2GmBpH7Bonpz27fUE3SdedQv8CS-0V4g</recordid><startdate>20130313</startdate><enddate>20130313</enddate><creator>Smithers, Lisa G</creator><creator>Golley, Rebecca K</creator><creator>Mittinty, Murthy N</creator><creator>Brazionis, Laima</creator><creator>Northstone, Kate</creator><creator>Emmett, Pauline</creator><creator>Lynch, John W</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130313</creationdate><title>Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study</title><author>Smithers, Lisa G ; Golley, Rebecca K ; Mittinty, Murthy N ; Brazionis, Laima ; Northstone, Kate ; Emmett, Pauline ; Lynch, John W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescence</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>Age</topic><topic>Analysis</topic><topic>Biology</topic><topic>Biometrics</topic><topic>Births</topic><topic>Biscuits</topic><topic>Bread</topic><topic>Breakfast cereals</topic><topic>Breast feeding</topic><topic>Breastfeeding & lactation</topic><topic>Caregivers</topic><topic>Cereals</topic><topic>Cheese</topic><topic>Child</topic><topic>Child development</topic><topic>Childhood</topic><topic>Children</topic><topic>Children & youth</topic><topic>Chocolate</topic><topic>Cognitive ability</topic><topic>Cognitive development</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Dairy products</topic><topic>Diet</topic><topic>Diet - statistics & numerical data</topic><topic>Discipline</topic><topic>Ethics</topic><topic>Female</topic><topic>Food</topic><topic>Generalized linear models</topic><topic>Humans</topic><topic>Infant</topic><topic>Intelligence</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Meat</topic><topic>Medicine</topic><topic>Multilevel</topic><topic>Multivariate analysis</topic><topic>Parturition</topic><topic>Pregnancy</topic><topic>Principal components analysis</topic><topic>Prospective Studies</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Researchers</topic><topic>Snack foods</topic><topic>Social and Behavioral Sciences</topic><topic>Sociodemographics</topic><topic>Statistical models</topic><topic>Studies</topic><topic>Teenagers</topic><topic>Trajectory analysis</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smithers, Lisa G</creatorcontrib><creatorcontrib>Golley, Rebecca K</creatorcontrib><creatorcontrib>Mittinty, Murthy N</creatorcontrib><creatorcontrib>Brazionis, Laima</creatorcontrib><creatorcontrib>Northstone, Kate</creatorcontrib><creatorcontrib>Emmett, Pauline</creatorcontrib><creatorcontrib>Lynch, John W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale_Opposing Viewpoints In Context</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smithers, Lisa G</au><au>Golley, Rebecca K</au><au>Mittinty, Murthy N</au><au>Brazionis, Laima</au><au>Northstone, Kate</au><au>Emmett, Pauline</au><au>Lynch, John W</au><au>Kappen, Claudia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-03-13</date><risdate>2013</risdate><volume>8</volume><issue>3</issue><spage>e58904</spage><epage>e58904</epage><pages>e58904-e58904</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We examined whether trajectories of dietary patterns from 6 to 24 months of age are associated with intelligence quotient (IQ) in childhood and adolescence.
Participants were children enrolled in a prospective UK birth cohort (n = 7,652) who had IQ measured at age 8 and/or 15 years. Dietary patterns were previously extracted from questionnaires when children were aged 6, 15 and 24 months using principal component analysis. Dietary trajectories were generated by combining scores on similar dietary patterns across each age, using multilevel mixed models. Associations between dietary trajectories and IQ were examined in generalized linear models with adjustment for potential confounders.
Four dietary pattern trajectories were constructed from 6 to 24 months of age and were named according to foods that made the strongest contribution to trajectory scores; Healthy (characterised by breastfeeding at 6 months, raw fruit and vegetables, cheese and herbs at 15 and 24 months); Discretionary (biscuits, chocolate, crisps at all ages), Traditional (meat, cooked vegetables and puddings at all ages) and, Ready-to-eat (use of ready-prepared baby foods at 6 and 15 months, biscuits, bread and breakfast cereals at 24 months). In fully-adjusted models, a 1 SD change in the Healthy trajectory was weakly associated with higher IQ at age 8 (1.07 (95%CI 0.17, 1.97)) but not 15 years (0.49 (-0.28, 1.26)). Associations between the Discretionary and Traditional trajectories with IQ at 8 and 15 years were as follows; Discretionary; 8 years -0.35(-1.03, 0.33), 15 years -0.73(-1.33, -0.14) Traditional; 8 years -0.19(-0.71, 0.33)15 years -0.41(-0.77, -0.04)). The Ready-to-eat trajectory had no association with IQ at either age (8 years 0.32(-4.31, 4.95), 15 years 1.11(-3.10, 5.33).
The Discretionary and Traditional dietary pattern trajectories from 6 to 24 months of age, over the period when food patterns begin to emerge, are weakly associated with IQ in adolescence.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23516574</pmid><doi>10.1371/journal.pone.0058904</doi><tpages>e58904</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2013-03, Vol.8 (3), p.e58904-e58904 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1330898429 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central |
subjects | Adolescence Adolescent Adolescents Adult Age Analysis Biology Biometrics Births Biscuits Bread Breakfast cereals Breast feeding Breastfeeding & lactation Caregivers Cereals Cheese Child Child development Childhood Children Children & youth Chocolate Cognitive ability Cognitive development Cohort analysis Cohort Studies Dairy products Diet Diet - statistics & numerical data Discipline Ethics Female Food Generalized linear models Humans Infant Intelligence Longitudinal Studies Male Meat Medicine Multilevel Multivariate analysis Parturition Pregnancy Principal components analysis Prospective Studies Public health Questionnaires Researchers Snack foods Social and Behavioral Sciences Sociodemographics Statistical models Studies Teenagers Trajectory analysis Vegetables |
title | Do dietary trajectories between infancy and toddlerhood influence IQ in childhood and adolescence? Results from a prospective birth cohort study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T14%3A17%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Do%20dietary%20trajectories%20between%20infancy%20and%20toddlerhood%20influence%20IQ%20in%20childhood%20and%20adolescence?%20Results%20from%20a%20prospective%20birth%20cohort%20study&rft.jtitle=PloS%20one&rft.au=Smithers,%20Lisa%20G&rft.date=2013-03-13&rft.volume=8&rft.issue=3&rft.spage=e58904&rft.epage=e58904&rft.pages=e58904-e58904&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0058904&rft_dat=%3Cgale_plos_%3EA478291453%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-88c15581584a4d8373dc7b006f1986fd5ddb007f08b8c9db35afaf7501ead4f83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1330898429&rft_id=info:pmid/23516574&rft_galeid=A478291453&rfr_iscdi=true |