The impact of nutrient-based dietary patterns on cognitive decline in older adults

• Published in: Clinical nutrition (Edinburgh, Scotland) Vol. 38; no. 6; pp. 2813 - 2820
• Main Authors: Prinelli, Federica, Fratiglioni, Laura, Musicco, Massimo, Johansson, Ingegerd, Adorni, Fulvio, Shakersain, Behnaz, Rizzuto, Debora, Xu, Weili
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.12.2019
• Subjects: Cognitive decline; Medicin och hälsovetenskap; Nutrient-based dietary patterns; Older adults; Population-based cohort study; Cognitive decline; Body Mass Index; Apolipoprotein epsilon 4; Semi-Quantitative Food Frequency Questionnaire; Population-based cohort study; Nutrient-based dietary patterns; 95% confidence intervals; Older adults; Mini-Mental State Examination; Principal Component Analysis; Swedish National study on Aging and Care-Kungsholmen
• ISSN: 0261-5614; 1532-1983; 1532-1983
• DOI: 10.1016/j.clnu.2018.12.012

The impact of nutrient patterns on cognitive decline is complex and findings are still inconclusive. We aimed to identify major nutrient patterns and to explore their association with cognitive decline over time among older adults. In a population-based cohort, 2250 cognitively healthy people aged ≥60 years were identified at baseline (2001–2004), and followed-up to 9 years. Global cognitive function was tested with the Mini-Mental State Examination (MMSE) at baseline and follow-ups. Nutrients intake was assessed on the basis of food intake using a 98-semi-quantitative food frequency questionnaire at baseline, and nutrient-based patterns were identified by principal components analysis based on 30 nutrients. Mixed-effects linear regression models were used to determine their association with change in cognitive function taking into account potential confounders. Four major patterns (the plant-, animal-, dairy-derived nutrients and animal/plants-derived fats) were identified. Over the follow-up time, each one unit increment in plant- (β = 0.081, P = 0.002) and animal-derived nutrients pattern scores (β = 0.098, P < 0.001) was associated with slower decline in MMSE score. On the other hand, one-unit higher in dairy-derived nutrients pattern was related to a faster decline in global cognitive function (β = -0.064, P = 0.014). No significant association between animal/plants fats pattern and cognitive decline was observed. In stratified analyses, the association of high scores of plants- and animal-derived nutrient pattern with slower cognitive decline was stronger in APOE ε4 carriers than in ε4 non-carriers. Plant- and animal -derived nutrients are associated with preserved cognitive function, especially among the APOE ε4 carriers, whereas nutrients derived from dairy products may accelerate cognitive decline in older adults.