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. 2016 Apr 22;3:379–390. doi: 10.1016/j.pmedr.2016.04.003

Table 2.

Studies on diet and cognitive development.

Reference Study design/country Characteristics of study Diet measure Outcome measure Main results
Feinstein et al. (2008) Longitudinal cohort study: ALSPACa. England.
  • N = 5741

  • 51% female

  • 94% white

  • Dietary patterns created from FFQb data at 38 months, 54 months and 81 months using factor analysis

  • Measured between age 10 & 11

  • School Attainment, measured using Key Stages standards

  • Used KS2c for English, Math and Science

  • Junk food dietary pattern at age 3 associated with lower results on KS2.

  • Health conscious pattern at age 3 associated with higher results on KS2.

  • Only the effect of the junk food pattern remained significant after adjusting for confounding variables.

Gale et al. (2009) Longitudinal cohort study, the Southampton Women's Survey. England.
  • N = 241

  • 46% female

  • No race or ethnicity information

  • Dietary patterns created from FFQ data at 6 and 12 months using PCAd

  • Measured at age 4

  • Wechsler Pre-School and Primary Scale of Intelligence test

  • Measure of FSIQe, VIQf, and PIQg

  • Developmental Neuropsychological Assessment

  • Measure of attention, sensorimotor ability, memory, and language

  • Test of Visual-Perceptual Skills

  • Measure of visual perception

  • Infant guidelines pattern, described as a pattern that “conforms to feeding guidelines as recommended in infant feeding manuals”, at 6 months associated with increases in FSIQ and VIQ.

  • Borderline significant positive association between the infant guidelines pattern at 6 months and sentence repetition scores.

  • All other associations were not significant.

Golley et al. (2013) Longitudinal cohort study: ALSPAC. England.
  • N = 4429

  • Subsample with maternal IQ N = 1776

  • 50% female

  • No race or ethnicity information

  • Dietary intake at 6 months via caregiver completed questionnaire

  • Created CFUIh as a measure of diet quality

  • Measured at age 8

  • WISCi Version III

  • Measure of FSIQ, VIQ, and PIQ

  • CFUI score was positively associated with FSIQ, VIQ, and PIQ.

  • Upon adjusting for maternal IQ, relationship between CFUI and FSIQ and VIQ remained significant.

  • All other associations were not significant.

Northstone et al. (2012) Longitudinal cohort study: ALSPAC. England.
  • Overall cohort N = 6944

  • 47% female

  • No race or ethnicity information

  • Complete data available for N = 3966

  • Dietary patterns created from FFQ data at 3, 4, 7, and 8.5 years using PCA

  • Measured at age 8.5

  • IQj assessed using WISC Version III

  • Tested picture completion, information, arithmetic, vocabulary, comprehension, and picture arrangement

  • Processed food pattern at age 3 associated with a decrease in IQ.

  • Health-conscious pattern at age 8.5 years associated with increase in IQ.

  • Snack pattern at age 3 associated with an increase in IQ.

Nyaradi et al. (2013) Longitudinal cohort study: Raine cohort. Australia.
  • N = 1346 for PPVT IIIk measure

  • 49% female

  • N = 1455 for Raven's Colored Matrices

  • 48% female

  • No race or ethnicity information

  • EATl diet score developed using 24-h recall data at ages 1,2, and 3

  • EAT score based on Dietary Guidelines for Children and Adolescents in Australia

  • Includes 7 food categories: whole grains, vegetables, fruits, meat ratio, dairy, snack foods, sweetened beverages

  • Measured at age 10

  • PPVT III

  • Measure of receptive vocabulary and verbal ability

  • Raven's Colored Progressive Matrices

  • Measure of nonverbal reasoning ability

  • EAT score at age 1 associated with higher PPVT III and nonverbal cognitive ability. Dairy consumption at ages 2 and 3 positively associated with verbal cognitive outcomes.

  • Higher intake of sugar-sweetened beverages negatively associated with nonverbal reasoning ability.

Smithers, et al. (2012) Longitudinal cohort study: ALSPAC. England.
  • N = 1366

  • 49% female

  • 97% white

  • Dietary patterns created from FFQ data at 6, 15, and 24 months using PCA

  • Measured at age 8

  • WISC Version III

  • Measure of FSIQ, VIQ, and PIQ

  • Nutrient-dense dietary patterns associated with increases in FSIQ and VIQ and discretionary patterns associated with decreases in FSIQ and VIQ.

  • At 6 and 15 months, ready-prepared baby foods associated with decreases in FSIQ and VIQ.

  • At 24 months, ready-to-eat dietary pattern associated with increases in FSIQ and VIQ.

  • All other associations were not significant.

Smithers et al. (2013) Longitudinal cohort study: ALSPAC. England.
  • N = 7652

  • 50% female

  • 96% white

  • Dietary pattern trajectories created from FFQ data at 6, 15, and 24 months using PCA

  • Measured at age 8 and 15

  • WISC Version III at age 8

  • Measure of FSIQ, VIQ, and PIQ

  • Abbreviated version of the Weschler Abbreviated Scale of Intelligence at age 15

  • Tested vocabulary and matrix reasoning

  • Measure of IQ

  • Healthy dietary pattern trajectory was weakly associated with higher IQ at age 8 but not age 15.

  • Discretionary and Traditional trajectories were associated with lower IQ at age 15 but not age 8.

  • The Ready-to-eat trajectory had no association with IQ at either age.

von Stumm et al. (2012) Longitudinal birth cohort study: The Growing Up in Scotland study. Scotland.
  • At baseline, N = 5217

  • 49% female

  • At age 3, N = 4193

  • At age 5, N = 3833

  • No race or ethnicity information

  • Frequency of type of children's main meal type per week, defined as fast or slow food.

  • Fast food: frozen/ready prepared, take away meal, fast-food meal

  • Slow food: sit down restaurant, or meal with fresh ingredients

  • Obtained through parent interviews

  • Measured at age 3 and 5

  • British Ability Scales II which includes Naming Vocabulary and Picture Similarities tests

  • Measure of expressive language ability and non-verbal reasoning

  • Meal types at age 3 positively associated with vocabulary and picture test performance at age 3 and with vocabulary test performance at age 5.

  • Meal types at age 5 positively associated with cognitive performance at age 5.

  • Type of meals partially mediated the effects of socioeconomic status on cognitive performance at age 3 and 5.

  • Having more slow meals was positively associated with changes in vocabulary at ages 3 and 5.

a

Avon Longitudinal Study of Parents and Children.

b

Food Frequency Questionnaire.

c

Key Stage 2.

d

Principal Component Analysis.

e

Full Scale Intelligence Quotient.

f

Verbal Intelligence Quotient.

g

Performance Intelligence Quotient.

h

Complementary Feeding Utility Index.

i

Wechsler Intelligence Scale for Children.

j

Intelligence Quotient.

k

Peabody Picture Vocabulary Test.

l

Eating Assessment in Toddlers.