Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium
Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public...
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Veröffentlicht in: | Clinical nutrition (Edinburgh, Scotland) Scotland), 2022-09, Vol.41 (9), p.1991-2002 |
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creator | Aubert, Adrien M. Chen, Ling-Wei Shivappa, Nitin Cooper, Cyrus Crozier, Sarah R. Duijts, Liesbeth Forhan, Anne Hanke, Wojciech Harvey, Nicholas C. Jankowska, Agnieszka Kelleher, Cecily C. de Lauzon-Guillain, Blandine McAuliffe, Fionnuala M. Mensink-Bout, Sara M. Polanska, Kinga Relton, Caroline L. Suderman, Matthew Hebert, James R. Phillips, Catherine M. Bernard, Jonathan Y. Heude, Barbara |
description | Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public health policies that target specific at-risk populations in Europe.
We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy.
DASH and E-DII scores were moderately correlated: from −0.63 (95% CI: −0.66, −0.59) to −0.48 (95% CI: −0.49, −0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range.
The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy. |
doi_str_mv | 10.1016/j.clnu.2022.06.042 |
format | Article |
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We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy.
DASH and E-DII scores were moderately correlated: from −0.63 (95% CI: −0.66, −0.59) to −0.48 (95% CI: −0.49, −0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range.
The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy.</description><identifier>ISSN: 0261-5614</identifier><identifier>EISSN: 1532-1983</identifier><identifier>DOI: 10.1016/j.clnu.2022.06.042</identifier><identifier>PMID: 35964423</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>body mass index ; Child ; child health ; clinical nutrition ; Correlates ; DASH ; Diet ; Dietary Approaches To Stop Hypertension ; E-DII ; education ; Europe ; Female ; food quality ; household income ; Humans ; hypertension ; Infant, Newborn ; Inflammation ; Life Sciences ; maternal nutrition ; meta-analysis ; Obesity ; physical activity ; Pregnancy ; Pregnancy Complications - epidemiology ; Prenatal diet ; Risk factors ; Santé publique et épidémiologie</subject><ispartof>Clinical nutrition (Edinburgh, Scotland), 2022-09, Vol.41 (9), p.1991-2002</ispartof><rights>2022 The Author(s)</rights><rights>Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-50164869e28ecc34f56c63d4e6dcf99991e41484f29c514b1bc0441af73302643</citedby><cites>FETCH-LOGICAL-c470t-50164869e28ecc34f56c63d4e6dcf99991e41484f29c514b1bc0441af73302643</cites><orcidid>0000-0002-3212-2307 ; 0000-0001-5887-8842 ; 0000-0002-0677-2672 ; 0000-0002-8194-2512 ; 0000-0002-6418-983X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0261561422002382$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35964423$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inserm.hal.science/inserm-03865793$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Aubert, Adrien M.</creatorcontrib><creatorcontrib>Chen, Ling-Wei</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Cooper, Cyrus</creatorcontrib><creatorcontrib>Crozier, Sarah R.</creatorcontrib><creatorcontrib>Duijts, Liesbeth</creatorcontrib><creatorcontrib>Forhan, Anne</creatorcontrib><creatorcontrib>Hanke, Wojciech</creatorcontrib><creatorcontrib>Harvey, Nicholas C.</creatorcontrib><creatorcontrib>Jankowska, Agnieszka</creatorcontrib><creatorcontrib>Kelleher, Cecily C.</creatorcontrib><creatorcontrib>de Lauzon-Guillain, Blandine</creatorcontrib><creatorcontrib>McAuliffe, Fionnuala M.</creatorcontrib><creatorcontrib>Mensink-Bout, Sara M.</creatorcontrib><creatorcontrib>Polanska, Kinga</creatorcontrib><creatorcontrib>Relton, Caroline L.</creatorcontrib><creatorcontrib>Suderman, Matthew</creatorcontrib><creatorcontrib>Hebert, James R.</creatorcontrib><creatorcontrib>Phillips, Catherine M.</creatorcontrib><creatorcontrib>Bernard, Jonathan Y.</creatorcontrib><creatorcontrib>Heude, Barbara</creatorcontrib><title>Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium</title><title>Clinical nutrition (Edinburgh, Scotland)</title><addtitle>Clin Nutr</addtitle><description>Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public health policies that target specific at-risk populations in Europe.
We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy.
DASH and E-DII scores were moderately correlated: from −0.63 (95% CI: −0.66, −0.59) to −0.48 (95% CI: −0.49, −0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range.
The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy.</description><subject>body mass index</subject><subject>Child</subject><subject>child health</subject><subject>clinical nutrition</subject><subject>Correlates</subject><subject>DASH</subject><subject>Diet</subject><subject>Dietary Approaches To Stop Hypertension</subject><subject>E-DII</subject><subject>education</subject><subject>Europe</subject><subject>Female</subject><subject>food quality</subject><subject>household income</subject><subject>Humans</subject><subject>hypertension</subject><subject>Infant, Newborn</subject><subject>Inflammation</subject><subject>Life Sciences</subject><subject>maternal nutrition</subject><subject>meta-analysis</subject><subject>Obesity</subject><subject>physical activity</subject><subject>Pregnancy</subject><subject>Pregnancy Complications - epidemiology</subject><subject>Prenatal diet</subject><subject>Risk factors</subject><subject>Santé publique et épidémiologie</subject><issn>0261-5614</issn><issn>1532-1983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc2O0zAUhSMEYsrAC7BAXrIgxX9xEsQmM-pQpErMYlhbrn0zdZXYGdup1Afj_XDpTJd4Y8n3O-fK5xTFR4KXBBPxdb_Ug5uXFFO6xGKJOX1VLEjFaEnahr0uFpgKUlaC8KviXYx7jHHF6uZtccWqVnBO2aL4cx_AWJ18iMj3aFQJglMDMhaSCkf0NKvBpiNSzlzerOsHNWbUeofMHKx7RFOAR6ecPn5DncuEsQdrshZNKiSr7aRcQkYlhcZsUqq84xjtv50RDuDQag5-AuWQ9jsfUkR98CNKO0Dd5n7d3awe8sTFPLLz-L5406shwofn-7r4fbd6uF2Xm18_ft52m1LzGqeyyinxRrRAG9Ca8b4SWjDDQRjdt_kQ4IQ3vKetrgjfkq3GnBPV14zl7Di7Lr6cfXdqkFOwY_6-9MrKdbeR1kUIo8SsEVXdsgPJ-OczPgX_NENMcrRRwzAoB36OktakoTVuG5FRekZ18DEG6C_2BMtTu3IvT-3KU7sSC5nbzaJPz_7zdgRzkbzUmYHvZwByKAcLQUZtwelccQCdpPH2f_5_AXOzuQ4</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Aubert, Adrien M.</creator><creator>Chen, Ling-Wei</creator><creator>Shivappa, Nitin</creator><creator>Cooper, Cyrus</creator><creator>Crozier, Sarah R.</creator><creator>Duijts, Liesbeth</creator><creator>Forhan, Anne</creator><creator>Hanke, Wojciech</creator><creator>Harvey, Nicholas C.</creator><creator>Jankowska, Agnieszka</creator><creator>Kelleher, Cecily C.</creator><creator>de Lauzon-Guillain, Blandine</creator><creator>McAuliffe, Fionnuala M.</creator><creator>Mensink-Bout, Sara M.</creator><creator>Polanska, Kinga</creator><creator>Relton, Caroline L.</creator><creator>Suderman, Matthew</creator><creator>Hebert, James R.</creator><creator>Phillips, Catherine M.</creator><creator>Bernard, Jonathan Y.</creator><creator>Heude, Barbara</creator><general>Elsevier Ltd</general><general>Elsevier / European Society for Clinical Nutrition and Metabolism</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>7S9</scope><scope>L.6</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-3212-2307</orcidid><orcidid>https://orcid.org/0000-0001-5887-8842</orcidid><orcidid>https://orcid.org/0000-0002-0677-2672</orcidid><orcidid>https://orcid.org/0000-0002-8194-2512</orcidid><orcidid>https://orcid.org/0000-0002-6418-983X</orcidid></search><sort><creationdate>202209</creationdate><title>Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium</title><author>Aubert, Adrien M. ; Chen, Ling-Wei ; Shivappa, Nitin ; Cooper, Cyrus ; Crozier, Sarah R. ; Duijts, Liesbeth ; Forhan, Anne ; Hanke, Wojciech ; Harvey, Nicholas C. ; Jankowska, Agnieszka ; Kelleher, Cecily C. ; de Lauzon-Guillain, Blandine ; McAuliffe, Fionnuala M. ; Mensink-Bout, Sara M. ; Polanska, Kinga ; Relton, Caroline L. ; Suderman, Matthew ; Hebert, James R. ; Phillips, Catherine M. ; Bernard, Jonathan Y. ; Heude, Barbara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-50164869e28ecc34f56c63d4e6dcf99991e41484f29c514b1bc0441af73302643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>body mass index</topic><topic>Child</topic><topic>child health</topic><topic>clinical nutrition</topic><topic>Correlates</topic><topic>DASH</topic><topic>Diet</topic><topic>Dietary Approaches To Stop Hypertension</topic><topic>E-DII</topic><topic>education</topic><topic>Europe</topic><topic>Female</topic><topic>food quality</topic><topic>household income</topic><topic>Humans</topic><topic>hypertension</topic><topic>Infant, Newborn</topic><topic>Inflammation</topic><topic>Life Sciences</topic><topic>maternal nutrition</topic><topic>meta-analysis</topic><topic>Obesity</topic><topic>physical activity</topic><topic>Pregnancy</topic><topic>Pregnancy Complications - epidemiology</topic><topic>Prenatal diet</topic><topic>Risk factors</topic><topic>Santé publique et épidémiologie</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aubert, Adrien M.</creatorcontrib><creatorcontrib>Chen, Ling-Wei</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Cooper, Cyrus</creatorcontrib><creatorcontrib>Crozier, Sarah R.</creatorcontrib><creatorcontrib>Duijts, Liesbeth</creatorcontrib><creatorcontrib>Forhan, Anne</creatorcontrib><creatorcontrib>Hanke, Wojciech</creatorcontrib><creatorcontrib>Harvey, Nicholas C.</creatorcontrib><creatorcontrib>Jankowska, Agnieszka</creatorcontrib><creatorcontrib>Kelleher, Cecily C.</creatorcontrib><creatorcontrib>de Lauzon-Guillain, Blandine</creatorcontrib><creatorcontrib>McAuliffe, Fionnuala M.</creatorcontrib><creatorcontrib>Mensink-Bout, Sara M.</creatorcontrib><creatorcontrib>Polanska, Kinga</creatorcontrib><creatorcontrib>Relton, Caroline L.</creatorcontrib><creatorcontrib>Suderman, Matthew</creatorcontrib><creatorcontrib>Hebert, James R.</creatorcontrib><creatorcontrib>Phillips, Catherine M.</creatorcontrib><creatorcontrib>Bernard, Jonathan Y.</creatorcontrib><creatorcontrib>Heude, Barbara</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>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Clinical nutrition (Edinburgh, Scotland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aubert, Adrien M.</au><au>Chen, Ling-Wei</au><au>Shivappa, Nitin</au><au>Cooper, Cyrus</au><au>Crozier, Sarah R.</au><au>Duijts, Liesbeth</au><au>Forhan, Anne</au><au>Hanke, Wojciech</au><au>Harvey, Nicholas C.</au><au>Jankowska, Agnieszka</au><au>Kelleher, Cecily C.</au><au>de Lauzon-Guillain, Blandine</au><au>McAuliffe, Fionnuala M.</au><au>Mensink-Bout, Sara M.</au><au>Polanska, Kinga</au><au>Relton, Caroline L.</au><au>Suderman, Matthew</au><au>Hebert, James R.</au><au>Phillips, Catherine M.</au><au>Bernard, Jonathan Y.</au><au>Heude, Barbara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium</atitle><jtitle>Clinical nutrition (Edinburgh, Scotland)</jtitle><addtitle>Clin Nutr</addtitle><date>2022-09</date><risdate>2022</risdate><volume>41</volume><issue>9</issue><spage>1991</spage><epage>2002</epage><pages>1991-2002</pages><issn>0261-5614</issn><eissn>1532-1983</eissn><abstract>Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public health policies that target specific at-risk populations in Europe.
We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy.
DASH and E-DII scores were moderately correlated: from −0.63 (95% CI: −0.66, −0.59) to −0.48 (95% CI: −0.49, −0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range.
The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>35964423</pmid><doi>10.1016/j.clnu.2022.06.042</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-3212-2307</orcidid><orcidid>https://orcid.org/0000-0001-5887-8842</orcidid><orcidid>https://orcid.org/0000-0002-0677-2672</orcidid><orcidid>https://orcid.org/0000-0002-8194-2512</orcidid><orcidid>https://orcid.org/0000-0002-6418-983X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | body mass index Child child health clinical nutrition Correlates DASH Diet Dietary Approaches To Stop Hypertension E-DII education Europe Female food quality household income Humans hypertension Infant, Newborn Inflammation Life Sciences maternal nutrition meta-analysis Obesity physical activity Pregnancy Pregnancy Complications - epidemiology Prenatal diet Risk factors Santé publique et épidémiologie |
title | Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium |
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