4.5 Article

Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank

Journal

EUROPEAN JOURNAL OF NUTRITION
Volume 62, Issue 1, Pages 511-521

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00394-022-02976-y

Keywords

Cognition; Fluid intelligence; General cognitive function; Dietary pattern; Genetic disposition; Polygenic score

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This study aimed to investigate the influence of diet on fluid intelligence and whether this association is modified by individual genetic disposition. The results showed no significant association between diet score and fluid intelligence, even after stratification by polygenic score.
Purpose Research suggests that diet influences cognitive function and the risk for neurodegenerative disease. The present study aimed to determine whether a recently developed diet score, based on recommendations for dietary priorities for cardio metabolic health, was associated with fluid intelligence, and whether these associations were modified by individual genetic disposition. Methods This research has been conducted using the UK Biobank Resource. Analyses were performed using self-report data on diet and the results for the verbal-numerical reasoning test of fluid intelligence of 104,895 individuals (46% male: mean age at recruitment 57.1 years (range 40-70)). For each participant, a diet score and a polygenic score (PGS) were constructed, which evaluated predefined cut-offs for the intake of fruit, vegetables, fish, processed meat, unprocessed meat, whole grain, and refined grain, and ranged from 0 (unfavorable) to 7 (favorable). To investigate whether the diet score was associated with fluid intelligence, and whether the association was modified by PGS, linear regression analyses were performed. Results The average diet score was 3.9 (SD 1.4). After adjustment for selected confounders, a positive association was found between baseline fluid intelligence and PGS (P < 0.001). No association was found between baseline fluid intelligence and diet score (P = 0.601), even after stratification for PGS, or in participants with longitudinal data available (n = 9,482). Conclusion In this middle-aged cohort, no evidence was found for an association between the investigated diet score and either baseline or longitudinal fluid intelligence. However, as in previous reports, fluid intelligence was strongly associated with a PGS for general cognitive function.

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