Macronutrient intake during infancy and neurodevelopment in preschool children from the EDEN mother-child cohort.
Journal
European journal of clinical nutrition
ISSN: 1476-5640
Titre abrégé: Eur J Clin Nutr
Pays: England
ID NLM: 8804070
Informations de publication
Date de publication:
06 2023
06 2023
Historique:
received:
22
04
2022
accepted:
27
01
2023
revised:
26
01
2023
medline:
9
6
2023
pubmed:
23
2
2023
entrez:
22
2
2023
Statut:
ppublish
Résumé
Although the deleterious effect of micronutrient deficiency at sensitive periods on neurodevelopment is well established, the potential influence of macronutrient intake on early life neurodevelopment of healthy term infants has been seldomly studied. We aimed to explore whether macronutrient intake at 12 months was related to neurodevelopmental scores in preschool children. Analyses were based on data from the EDEN mother-child cohort. Macronutrient intake was assessed by 3-day food records at 12 months of age. Neurodevelopment was assessed at 3 years using the French version of the Ages and Stages Questionnaire (ASQ) (n = 914), and at 5-6 years, using the French version of the Wechsler Preschool and Primary Scale of Intelligence-Third Edition (n = 785). An association between macronutrient intake and neurodevelopmental scores were analysed by multivariable linear regression for 3-year Full Score ASQ or 5-6-year intelligence quotient scores and multivariable logistic regression for 3-year ASQ subdomains. Macronutrient intake in infancy was not associated with neurodevelopmental scores in preschool children. No association was found between PUFA intake and overall neurodevelopmental scores, after accounting for multiple testing. In the present study, macronutrient intake at one year did not appear to influence the child's cognitive ability at 3 and 5-6 years. Further studies are needed to clarify the relationship between early fatty acid intake and neurodevelopment.
Sections du résumé
BACKGROUND
Although the deleterious effect of micronutrient deficiency at sensitive periods on neurodevelopment is well established, the potential influence of macronutrient intake on early life neurodevelopment of healthy term infants has been seldomly studied. We aimed to explore whether macronutrient intake at 12 months was related to neurodevelopmental scores in preschool children.
METHODS
Analyses were based on data from the EDEN mother-child cohort. Macronutrient intake was assessed by 3-day food records at 12 months of age. Neurodevelopment was assessed at 3 years using the French version of the Ages and Stages Questionnaire (ASQ) (n = 914), and at 5-6 years, using the French version of the Wechsler Preschool and Primary Scale of Intelligence-Third Edition (n = 785). An association between macronutrient intake and neurodevelopmental scores were analysed by multivariable linear regression for 3-year Full Score ASQ or 5-6-year intelligence quotient scores and multivariable logistic regression for 3-year ASQ subdomains.
RESULTS
Macronutrient intake in infancy was not associated with neurodevelopmental scores in preschool children. No association was found between PUFA intake and overall neurodevelopmental scores, after accounting for multiple testing.
CONCLUSION
In the present study, macronutrient intake at one year did not appear to influence the child's cognitive ability at 3 and 5-6 years. Further studies are needed to clarify the relationship between early fatty acid intake and neurodevelopment.
Identifiants
pubmed: 36806783
doi: 10.1038/s41430-023-01273-z
pii: 10.1038/s41430-023-01273-z
doi:
Substances chimiques
Fatty Acids
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
668-676Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Garon N, Bryson SE, Smith IM. Executive function in preschoolers: a review using an integrative framework. Psychol Bull. 2008;134:31–60.
pubmed: 18193994
Schwarzenberg SJ, Georgieff MK, Daniels S, Corkins M, Golden NH, Kim JH, et al. Advocacy for improving nutrition in the first 1000 days to support childhood development and adult health. Pediatrics. 2018;141:e20173716.
pubmed: 29358479
Gilmore JH, Knickmeyer RC, Gao W. Imaging structural and functional brain development in early childhood. Nat Rev Neurosci. 2018;19:123–37.
pubmed: 29449712
pmcid: 5987539
de Lauzon-Guillain B, Marques C, Kadawathagedara M, Bernard JY, Tafflet M, Lioret S, et al. Maternal diet during pregnancy and child neurodevelopment up to age 3.5 years: the nationwide Étude Longitudinale Française depuis l’Enfance (ELFE) birth cohort. Am J Clin Nutr. 2022;116:1101–11.
pubmed: 35918250
Freitas-Vilela AA, Pearson RM, Emmett P, Heron J, Smith ADAC, Emond A, et al. Maternal dietary patterns during pregnancy and intelligence quotients in the offspring at 8 years of age: Findings from the ALSPAC cohort. Matern Child Nutr. 2018;14:e12431.
pubmed: 28251825
Horta BL, Loret de Mola C, Victora CG. Breastfeeding and intelligence: a systematic review and meta-analysis. Acta Paediatr. 2015;104:14–9.
pubmed: 26211556
Lam LF, Lawlis TR. Feeding the brain—the effects of micronutrient interventions on cognitive performance among school-aged children: a systematic review of randomized controlled trials. Clin Nutr. 2017;36:1007–14.
pubmed: 27395329
Nyaradi A, Oddy WH, Hickling S, Li J, Foster JK. The relationship between nutrition in infancy and cognitive performance during adolescence. Front Nutr. 2015;2:2.
pubmed: 26082928
pmcid: 4451795
Nyaradi A, Foster JK, Hickling S, Li J, Ambrosini GL, Jacques A, et al. Prospective associations between dietary patterns and cognitive performance during adolescence. J Child Psychol Psychiatry. 2014;55:1017–24.
pubmed: 24673485
Haapala EA, Eloranta A-M, Venäläinen T, Schwab U, Lindi V, Lakka TA. Associations of diet quality with cognition in children—the Physical Activity and Nutrition in Children study. Br J Nutr. 2015;114:1080–7.
pubmed: 26270999
Sammallahti S, Kajantie E, Matinolli H-M, Pyhälä R, Lahti J, Heinonen K, et al. Nutrition after preterm birth and adult neurocognitive outcomes. PloS One. 2017;12:e0185632.
pubmed: 28957424
pmcid: 5619810
Escribano J, Luque V, Canals-Sans J, Ferré N, Koletzko B, Grote V, et al. Mental performance in 8-year-old children fed reduced protein content formula during the 1st year of life: safety analysis of a randomised clinical trial. Br J Nutr. 2019;122:S22–30.
pubmed: 31638498
Timby N, Domellöf E, Hernell O, Lönnerdal B, Domellöf M. Neurodevelopment, nutrition, and growth until 12 mo of age in infants fed a low-energy, low-protein formula supplemented with bovine milk fat globule membranes: a randomized controlled trial. Am J Clin Nutr. 2014;99:860–8.
pubmed: 24500150
Timby N, Adamsson M, Domellöf E, Grip T, Hernell O, Lönnerdal B, et al. Neurodevelopment and growth until 6.5 years of infants who consumed a low-energy, low-protein formula supplemented with bovine milk fat globule membranes: a randomized controlled trial. Am J Clin Nutr. 2021;113:586–92.
pubmed: 33564853
Naveed S, Venäläinen T, Eloranta AM, Erkkilä AT, Jalkanen H, Lindi V, et al. Associations of dietary carbohydrate and fatty acid intakes with cognition among children. Public Health Nutr. 2020;23:1657–63.
pubmed: 32079555
pmcid: 10200372
Hassevoort KM, Lin AS, Khan NA, Hillman CH, Cohen NJ. Added sugar and dietary fiber consumption are associated with creativity in preadolescent children. Nutr Neurosci. 2020;23:791–802.
pubmed: 30558494
Starling P, Charlton K, McMahon AT, Lucas C. Fish intake during pregnancy and foetal neurodevelopment—a systematic review of the evidence. Nutrients. 2015;7:2001–14.
pubmed: 25793632
pmcid: 4377896
Lehner A, Staub K, Aldakak L, Eppenberger P, Rühli F, Martin RD, et al. Fish consumption is associated with school performance in children in a non-linear way: results from the German cohort study KiGGS. Evol Med Public Health. 2019;2020:2–11.
pubmed: 31976073
pmcid: 6970346
Verfuerden ML, Dib S, Jerrim J, Fewtrell M, Gilbert RE. Effect of long-chain polyunsaturated fatty acids in infant formula on long-term cognitive function in childhood: a systematic review and meta-analysis of randomised controlled trials. PloS One. 2020;15:e0241800.
pubmed: 33152012
pmcid: 7644261
Emery S, Häberling I, Berger G, Walitza S, Schmeck K, Albert T, et al. Omega-3 and its domain-specific effects on cognitive test performance in youths: a meta-analysis. Neurosci Biobehav Rev. 2020;112:420–36.
pubmed: 32070694
Heude B, Forhan A, Slama R, Douhaud L, Bedel S, Saurel-Cubizolles M-J, et al. Cohort Profile: The EDEN mother-child cohort on the prenatal and early postnatal determinants of child health and development. Int J Epidemiol. 2015;45:353–63.
pubmed: 26283636
Ego A, Prunet C, Blondel B, Kaminski M, Goffinet F, Zeitlin J. Courbes de croissance in utero ajustées et non ajustées adaptées à la population française. II – Comparaison à des courbes existantes et apport de l’ajustement. J Gynecol Obstet Biol Reprod. 2016;45:165–76.
Deschamps V, de Lauzon-Guillain B, Lafay L, Borys JM, Charles MA, Romon M. Reproducibility and relative validity of a food-frequency questionnaire among French adults and adolescents. Eur J Clin Nutr. 2009;63:282–91.
pubmed: 17882132
Betoko A, Charles MA, Hankard R, Forhan A, Bonet M, Saurel-Cubizolles MJ, et al. Infant feeding patterns over the first year of life: influence of family characteristics. Eur J Clin Nutr. 2013;67:631–7.
pubmed: 23299715
pmcid: 5385207
Yuan WL, Nicklaus S, Lioret S, Lange C, Forhan A, Heude B, et al. Early factors related to carbohydrate and fat intake at 8 and 12 months: results from the EDEN mother–child cohort. Eur J Clin Nutr. 2017;71:219–26.
pubmed: 27901039
Squires J, Bricker D. Ages & stages questionnaires ® (ASQ- 3TM): user’s guide—a parent-completed child monitoring system. 3rd ed 2009.
Wechsler D. Wechsler Preschool and Primary Scale of Intelligence. 3rd ed 2002.
Frankenburg WK, Coons CE. Home screening questionnaire: its validity in assessing home environment. J Pediatr. 1986;108:624–6.
pubmed: 3958839
Shrier I, Platt RW. Reducing bias through directed acyclic graphs. BMC Med Res Methodol. 2008;8:70.
pubmed: 18973665
pmcid: 2601045
Azur MJ, Stuart EA, Frangakis C, Leaf PJ. Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res. 2011;20:40–9.
pubmed: 21499542
pmcid: 3074241
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc: Ser B (Methodol). 1995;57:289–300.
R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria 2018.
van Buuren S, Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45:1–67.
Lesnoff M, Lancelot R. aod: analysis of overdispersed Data. 2012.
Georgieff MK. Nutrition and the developing brain: nutrient priorities and measurement. Am J Clin Nutr. 2007;85:614S–20S.
pubmed: 17284765
Muth A-K, Park SQ. The impact of dietary macronutrient intake on cognitive function and the brain. Clin Nutr. 2021;40:3999–4010.
pubmed: 34139473
Isaacs EB, Morley R, Lucas A. Early diet and general cognitive outcome at adolescence in children born at or below 30 weeks gestation. J Pediatr. 2009;155:229–34.
pubmed: 19446846
Larson LM, Yousafzai AK. A meta-analysis of nutrition interventions on mental development of children under-two in low- and middle-income countries. Matern Child Nutr. 2017;13(1):e12229.
Parikh P, Semba R, Manary M, Swaminathan S, Udomkesmalee E, Bos R, et al. Animal source foods, rich in essential amino acids, are important for linear growth and development of young children in low- and middle-income countries. Matern Child Nutr. 2022;18:e13264.
pubmed: 34467645
Cohen JFW, Gorski MT, Gruber SA, Kurdziel LBF, Rimm EB. The effect of healthy dietary consumption on executive cognitive functioning in children and adolescents: a systematic review. Br J Nutr. 2016;116:989–1000.
pubmed: 27487986
Ruys CA, Bröring T, van Schie PEM, van de Lagemaat M, Rotteveel J, Finken MJJ, et al. Neurodevelopment of children born very preterm and/or with a very low birth weight: 8-Year follow-up of a nutritional RCT. Clin Nutr ESPEN. 2019;30:190–8.
pubmed: 30904221
Hortensius LM, Janson E, van Beek PE, Groenendaal F, Claessens NHP, Swanenburg de Veye HFN, et al. Nutritional intake, white matter integrity, and neurodevelopment in extremely preterm born infants. Nutrients 2021;13:3409.
pubmed: 34684410
pmcid: 8539908
Embleton ND, Wood CL, Pearce MS, Brunskill G, Grahame V. Early diet in preterm infants and later cognition: 10-year follow-up of a randomized controlled trial. Pediatr Res. 2021;89:1442–6.
pubmed: 33564126
pmcid: 8163596
Jasani B, Simmer K, Patole SK, Rao SC. Long chain polyunsaturated fatty acid supplementation in infants born at term. Cochrane Database Syst Rev. 2017;10(3),13–16.
Beyerlein A, Hadders-Algra M, Kennedy K, Fewtrell M, Singhal A, Rosenfeld E, et al. Infant formula supplementation with long-chain polyunsaturated fatty acids has no effect on bayley developmental scores at 18 months of age—IPD meta-analysis of 4 large clinical trials. J Pediatr Gastroenterol Nutr. 2010;50:79–84.
pubmed: 19881391
Bernard JY, De Agostini M, Forhan A, de Lauzon-Guillain B, Charles MA, Heude B. The dietary n6:n3 fatty acid ratio during pregnancy is inversely associated with child neurodevelopment in the EDEN mother-child cohort. J Nutr. 2013;143:1481–8.
pubmed: 23902952
Sheppard KW, Cheatham CL. Omega-6 to omega-3 fatty acid ratio and higher-order cognitive functions in 7- to 9-y-olds: a cross-sectional study. Am J Clin Nutr. 2013;98:659–67.
pubmed: 23824723
Troude P, Squires J, L’Hélias LF, Bouyer J, LA Rochebrochard ED. Ages and stages questionnaires: feasibility of postal surveys for child follow-up. Early Hum Dev. 2011;87:671–6.
pubmed: 21640526
Charkaluk M-L, Rousseau J, Calderon J, Bernard JY, Forhan A, Heude B, et al. Ages and stages questionnaire at 3 years for predicting iq at 5–6 years. Pediatrics. 2017;139(4):e20162798.
de Oliveira KHD, de Almeida GM, Gubert MB, Moura AS, Spaniol AM, Hernandez DC, et al. Household food insecurity and early childhood development: Systematic review and meta-analysis. Matern Child Nutr. 2020;16:e12967.
pubmed: 32052571
pmcid: 7296813