Children's Attention-Deficit/Hyperactivity Disorder Symptoms Predict Lower Diet Quality but Not Vice Versa: Results from Bidirectional Analyses in a Population-Based Cohort
As an adjuvant for medication, dietary changes focused on specific nutrients have been proposed to prevent or reduce attention-deficit/hyperactivity disorder (ADHD) symptoms. However, whether an overall healthy dietary pattern is associated with ADHD symptom severity during childhood remains unclear...
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Veröffentlicht in: | The Journal of nutrition 2019-04, Vol.149 (4), p.642-648 |
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creator | Mian, Annemiek Jansen, Pauline W Nguyen, Anh N Bowling, April Renders, Carry M Voortman, Trudy |
description | As an adjuvant for medication, dietary changes focused on specific nutrients have been proposed to prevent or reduce attention-deficit/hyperactivity disorder (ADHD) symptoms. However, whether an overall healthy dietary pattern is associated with ADHD symptom severity during childhood remains unclear. Furthermore, it is not clear what the direction of this association is.
We aimed to examine the association between dietary patterns and ADHD symptoms in school-aged children. In addition, we aimed to identify the temporal direction of this association—that is, whether dietary patterns predict ADHD symptoms or vice versa.
We analyzed data from 3680 children participating in the Generation R Study, a prospective cohort in Rotterdam, Netherlands. ADHD symptoms were assessed with parent-report questionnaires at ages 6 and 10 y using the Child Behavior Checklist. Dietary intake was assessed at the age of 8 y with a validated food-frequency questionnaire. We computed a diet quality score reflecting adherence to dietary guidelines. We examined bidirectional associations of diet quality with ADHD symptom scores using multivariable linear regression analysis and cross-lagged modeling.
Linear regressions showed that more ADHD symptoms at age 6 y were associated with a lower diet quality score at age 8 y (SD score = −0.08; 95% CI: −0.11, −0.05) but that diet quality at age 8 y was not associated with ADHD symptoms at age 10 y. Cross-lagged models confirmed a unidirectional relation from ADHD symptoms to diet quality but not vice versa. Associations did not differ by overweight status or between boys and girls.
Our study suggests that children with more ADHD symptoms may be at higher risk of an unhealthy diet but that overall diet quality does not affect ADHD risk. |
doi_str_mv | 10.1093/jn/nxy273 |
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We aimed to examine the association between dietary patterns and ADHD symptoms in school-aged children. In addition, we aimed to identify the temporal direction of this association—that is, whether dietary patterns predict ADHD symptoms or vice versa.
We analyzed data from 3680 children participating in the Generation R Study, a prospective cohort in Rotterdam, Netherlands. ADHD symptoms were assessed with parent-report questionnaires at ages 6 and 10 y using the Child Behavior Checklist. Dietary intake was assessed at the age of 8 y with a validated food-frequency questionnaire. We computed a diet quality score reflecting adherence to dietary guidelines. We examined bidirectional associations of diet quality with ADHD symptom scores using multivariable linear regression analysis and cross-lagged modeling.
Linear regressions showed that more ADHD symptoms at age 6 y were associated with a lower diet quality score at age 8 y (SD score = −0.08; 95% CI: −0.11, −0.05) but that diet quality at age 8 y was not associated with ADHD symptoms at age 10 y. Cross-lagged models confirmed a unidirectional relation from ADHD symptoms to diet quality but not vice versa. Associations did not differ by overweight status or between boys and girls.
Our study suggests that children with more ADHD symptoms may be at higher risk of an unhealthy diet but that overall diet quality does not affect ADHD risk.</description><identifier>ISSN: 0022-3166</identifier><identifier>EISSN: 1541-6100</identifier><identifier>DOI: 10.1093/jn/nxy273</identifier><identifier>PMID: 30915449</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>ADHD symptoms ; Age ; Attention Deficit Disorder with Hyperactivity - etiology ; Attention deficit hyperactivity disorder ; Body weight ; causality ; Child ; Child Nutritional Physiological Phenomena ; Children ; Children & youth ; Cohort Studies ; Data processing ; Diet ; Diet - standards ; Dietary intake ; dietary pattern ; Dietary supplements ; directionality ; Female ; Girls ; Health risk assessment ; Humans ; Hyperactivity ; Male ; Mathematical models ; Nutrients ; Prospective Studies ; Regression analysis ; Signs and symptoms</subject><ispartof>The Journal of nutrition, 2019-04, Vol.149 (4), p.642-648</ispartof><rights>2019 American Society for Nutrition.</rights><rights>Copyright © American Society for Nutrition 2019. 2019</rights><rights>Copyright © American Society for Nutrition 2019.</rights><rights>Copyright American Institute of Nutrition Apr 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-ed9cf66a1a94e7f49d90180969006bebf57bcda05634c7646716e5179d2154bc3</citedby><cites>FETCH-LOGICAL-c421t-ed9cf66a1a94e7f49d90180969006bebf57bcda05634c7646716e5179d2154bc3</cites><orcidid>0000-0003-2830-6813</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30915449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mian, Annemiek</creatorcontrib><creatorcontrib>Jansen, Pauline W</creatorcontrib><creatorcontrib>Nguyen, Anh N</creatorcontrib><creatorcontrib>Bowling, April</creatorcontrib><creatorcontrib>Renders, Carry M</creatorcontrib><creatorcontrib>Voortman, Trudy</creatorcontrib><title>Children's Attention-Deficit/Hyperactivity Disorder Symptoms Predict Lower Diet Quality but Not Vice Versa: Results from Bidirectional Analyses in a Population-Based Cohort</title><title>The Journal of nutrition</title><addtitle>J Nutr</addtitle><description>As an adjuvant for medication, dietary changes focused on specific nutrients have been proposed to prevent or reduce attention-deficit/hyperactivity disorder (ADHD) symptoms. However, whether an overall healthy dietary pattern is associated with ADHD symptom severity during childhood remains unclear. Furthermore, it is not clear what the direction of this association is.
We aimed to examine the association between dietary patterns and ADHD symptoms in school-aged children. In addition, we aimed to identify the temporal direction of this association—that is, whether dietary patterns predict ADHD symptoms or vice versa.
We analyzed data from 3680 children participating in the Generation R Study, a prospective cohort in Rotterdam, Netherlands. ADHD symptoms were assessed with parent-report questionnaires at ages 6 and 10 y using the Child Behavior Checklist. Dietary intake was assessed at the age of 8 y with a validated food-frequency questionnaire. We computed a diet quality score reflecting adherence to dietary guidelines. We examined bidirectional associations of diet quality with ADHD symptom scores using multivariable linear regression analysis and cross-lagged modeling.
Linear regressions showed that more ADHD symptoms at age 6 y were associated with a lower diet quality score at age 8 y (SD score = −0.08; 95% CI: −0.11, −0.05) but that diet quality at age 8 y was not associated with ADHD symptoms at age 10 y. Cross-lagged models confirmed a unidirectional relation from ADHD symptoms to diet quality but not vice versa. Associations did not differ by overweight status or between boys and girls.
Our study suggests that children with more ADHD symptoms may be at higher risk of an unhealthy diet but that overall diet quality does not affect ADHD risk.</description><subject>ADHD symptoms</subject><subject>Age</subject><subject>Attention Deficit Disorder with Hyperactivity - etiology</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Body weight</subject><subject>causality</subject><subject>Child</subject><subject>Child Nutritional Physiological Phenomena</subject><subject>Children</subject><subject>Children & youth</subject><subject>Cohort Studies</subject><subject>Data processing</subject><subject>Diet</subject><subject>Diet - standards</subject><subject>Dietary intake</subject><subject>dietary pattern</subject><subject>Dietary supplements</subject><subject>directionality</subject><subject>Female</subject><subject>Girls</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Hyperactivity</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Nutrients</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Signs and symptoms</subject><issn>0022-3166</issn><issn>1541-6100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90ctu1DAUBmALUdGhsOAFkCWQgEUYO4mdMbvpDLRIIyi3biPHPlE9SuLgSyHv1IfE0xQWCLGxJevz8fF_EHpCyWtKRLHcD8vh55RXxT20oKykGaeE3EcLQvI8Kyjnx-ih93tCCC3F6gE6LohIrhQLdLO5Mp12MLzweB0CDMHYIdtCa5QJy_NpBCdVMNcmTHhrvHUaHP4y9WOwvccXDrRRAe_sj3S8NRDwpyi7A25iwB9swJdGAb4E5-Ub_Bl87ILHrbM9PjXaOFCH92SH12mZPHhsBizxhR1jJ29bOZUeNN7YK-vCI3TUys7D47v9BH179_br5jzbfTx7v1nvMlXmNGSghWo5l1SKEqq2FFoQuiKCC0J4A03LqkZpSRgvSlXxkleUA6OV0HlKpVHFCXo51x2d_R7Bh7o3XkHXyQFs9HVOxYpVlDGW6LO_6N5Glz6TVE7zilC2KpN6NSvlrPcO2np0ppduqimpDyOs90M9jzDZp3cVY9OD_iN_zyyB5zOwcfxvnWJmkJK6NuBqrwwMCubYa23NP279AoKcuDA</recordid><startdate>201904</startdate><enddate>201904</enddate><creator>Mian, Annemiek</creator><creator>Jansen, Pauline W</creator><creator>Nguyen, Anh N</creator><creator>Bowling, April</creator><creator>Renders, Carry M</creator><creator>Voortman, Trudy</creator><general>Elsevier Inc</general><general>Oxford University Press</general><general>American Institute of Nutrition</general><scope>6I.</scope><scope>AAFTH</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2830-6813</orcidid></search><sort><creationdate>201904</creationdate><title>Children's Attention-Deficit/Hyperactivity Disorder Symptoms Predict Lower Diet Quality but Not Vice Versa: Results from Bidirectional Analyses in a Population-Based Cohort</title><author>Mian, Annemiek ; Jansen, Pauline W ; Nguyen, Anh N ; Bowling, April ; Renders, Carry M ; Voortman, Trudy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-ed9cf66a1a94e7f49d90180969006bebf57bcda05634c7646716e5179d2154bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>ADHD symptoms</topic><topic>Age</topic><topic>Attention Deficit Disorder with Hyperactivity - etiology</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Body weight</topic><topic>causality</topic><topic>Child</topic><topic>Child Nutritional Physiological Phenomena</topic><topic>Children</topic><topic>Children & youth</topic><topic>Cohort Studies</topic><topic>Data processing</topic><topic>Diet</topic><topic>Diet - standards</topic><topic>Dietary intake</topic><topic>dietary pattern</topic><topic>Dietary supplements</topic><topic>directionality</topic><topic>Female</topic><topic>Girls</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Hyperactivity</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Nutrients</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Signs and symptoms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mian, Annemiek</creatorcontrib><creatorcontrib>Jansen, Pauline W</creatorcontrib><creatorcontrib>Nguyen, Anh N</creatorcontrib><creatorcontrib>Bowling, April</creatorcontrib><creatorcontrib>Renders, Carry M</creatorcontrib><creatorcontrib>Voortman, Trudy</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</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 Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mian, Annemiek</au><au>Jansen, Pauline W</au><au>Nguyen, Anh N</au><au>Bowling, April</au><au>Renders, Carry M</au><au>Voortman, Trudy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Children's Attention-Deficit/Hyperactivity Disorder Symptoms Predict Lower Diet Quality but Not Vice Versa: Results from Bidirectional Analyses in a Population-Based Cohort</atitle><jtitle>The Journal of nutrition</jtitle><addtitle>J Nutr</addtitle><date>2019-04</date><risdate>2019</risdate><volume>149</volume><issue>4</issue><spage>642</spage><epage>648</epage><pages>642-648</pages><issn>0022-3166</issn><eissn>1541-6100</eissn><abstract>As an adjuvant for medication, dietary changes focused on specific nutrients have been proposed to prevent or reduce attention-deficit/hyperactivity disorder (ADHD) symptoms. However, whether an overall healthy dietary pattern is associated with ADHD symptom severity during childhood remains unclear. Furthermore, it is not clear what the direction of this association is.
We aimed to examine the association between dietary patterns and ADHD symptoms in school-aged children. In addition, we aimed to identify the temporal direction of this association—that is, whether dietary patterns predict ADHD symptoms or vice versa.
We analyzed data from 3680 children participating in the Generation R Study, a prospective cohort in Rotterdam, Netherlands. ADHD symptoms were assessed with parent-report questionnaires at ages 6 and 10 y using the Child Behavior Checklist. Dietary intake was assessed at the age of 8 y with a validated food-frequency questionnaire. We computed a diet quality score reflecting adherence to dietary guidelines. We examined bidirectional associations of diet quality with ADHD symptom scores using multivariable linear regression analysis and cross-lagged modeling.
Linear regressions showed that more ADHD symptoms at age 6 y were associated with a lower diet quality score at age 8 y (SD score = −0.08; 95% CI: −0.11, −0.05) but that diet quality at age 8 y was not associated with ADHD symptoms at age 10 y. Cross-lagged models confirmed a unidirectional relation from ADHD symptoms to diet quality but not vice versa. Associations did not differ by overweight status or between boys and girls.
Our study suggests that children with more ADHD symptoms may be at higher risk of an unhealthy diet but that overall diet quality does not affect ADHD risk.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30915449</pmid><doi>10.1093/jn/nxy273</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-2830-6813</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ADHD symptoms Age Attention Deficit Disorder with Hyperactivity - etiology Attention deficit hyperactivity disorder Body weight causality Child Child Nutritional Physiological Phenomena Children Children & youth Cohort Studies Data processing Diet Diet - standards Dietary intake dietary pattern Dietary supplements directionality Female Girls Health risk assessment Humans Hyperactivity Male Mathematical models Nutrients Prospective Studies Regression analysis Signs and symptoms |
title | Children's Attention-Deficit/Hyperactivity Disorder Symptoms Predict Lower Diet Quality but Not Vice Versa: Results from Bidirectional Analyses in a Population-Based Cohort |
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