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Predictors of maternal dietary quality and dietary inflammation during pregnancy: an individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium.

Predictors of maternal dietary quality and dietary inflammation during pregnancy: an individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium.
Predictors of maternal dietary quality and dietary inflammation during pregnancy: an individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium.
Background & aims
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.

Methods
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.

Results
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.

Conclusions
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.
0261-5614
1991 - 2002
Aubert, Adrien M.
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Chen, Ling-Wei
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Shivappa, Nitin
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Cooper, Cyrus
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Crozier, Sarah
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Duijts, Liesbeth
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Forhan, Anne
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Hanke, Wojciech
e730b99a-d37a-4ac3-8e77-0183860e4165
Harvey, Nicholas
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Jankowska, Agnieszka
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Kelleher, Cecily C.
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de Lauzon-Guillain, Blandine
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McAuliffe, Fionnuala M.
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Mensink-Bout, Sara M.
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Polanska, Kinga
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Relton, Caroline L.
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Suderman, Matthew
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Herbert, James R.
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Phillips, Catherine M.
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Bernard, Jonathan Y.
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Heude, Barbara
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Aubert, Adrien M.
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Chen, Ling-Wei
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Shivappa, Nitin
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Cooper, Cyrus
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Crozier, Sarah
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Duijts, Liesbeth
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Forhan, Anne
93c9d1ba-b92e-4107-aa11-87eb5d99658d
Hanke, Wojciech
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Harvey, Nicholas
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Jankowska, Agnieszka
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Kelleher, Cecily C.
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de Lauzon-Guillain, Blandine
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McAuliffe, Fionnuala M.
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Mensink-Bout, Sara M.
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Polanska, Kinga
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Relton, Caroline L.
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Suderman, Matthew
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Herbert, James R.
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Phillips, Catherine M.
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Bernard, Jonathan Y.
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Heude, Barbara
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Aubert, Adrien M., Chen, Ling-Wei, Shivappa, Nitin, Cooper, Cyrus, Crozier, Sarah, Duijts, Liesbeth, Forhan, Anne, Hanke, Wojciech, Harvey, Nicholas, Jankowska, Agnieszka, Kelleher, Cecily C., de Lauzon-Guillain, Blandine, McAuliffe, Fionnuala M., Mensink-Bout, Sara M., Polanska, Kinga, Relton, Caroline L., Suderman, Matthew, Herbert, James R., Phillips, Catherine M., Bernard, Jonathan Y. and Heude, Barbara (2022) Predictors of maternal dietary quality and dietary inflammation during pregnancy: an individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium. Clinical Nutrition, 41 (9), 1991 - 2002. (doi:10.1016/j.clnu.2022.06.042).

Record type: Article

Abstract

Background & aims
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.

Methods
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.

Results
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.

Conclusions
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.

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More information

Accepted/In Press date: 30 June 2022
e-pub ahead of print date: 8 July 2022
Published date: 11 August 2022

Identifiers

Local EPrints ID: 468349
URI: http://eprints.soton.ac.uk/id/eprint/468349
ISSN: 0261-5614
PURE UUID: a1251a5e-b3f7-4b91-bded-1a6506f0547c
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709
ORCID for Sarah Crozier: ORCID iD orcid.org/0000-0002-9524-1127
ORCID for Nicholas Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 10 Aug 2022 18:17
Last modified: 02 Dec 2022 02:39

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Contributors

Author: Adrien M. Aubert
Author: Ling-Wei Chen
Author: Nitin Shivappa
Author: Cyrus Cooper ORCID iD
Author: Sarah Crozier ORCID iD
Author: Liesbeth Duijts
Author: Anne Forhan
Author: Wojciech Hanke
Author: Nicholas Harvey ORCID iD
Author: Agnieszka Jankowska
Author: Cecily C. Kelleher
Author: Blandine de Lauzon-Guillain
Author: Fionnuala M. McAuliffe
Author: Sara M. Mensink-Bout
Author: Kinga Polanska
Author: Caroline L. Relton
Author: Matthew Suderman
Author: James R. Herbert
Author: Catherine M. Phillips
Author: Jonathan Y. Bernard
Author: Barbara Heude

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