Federica Prinelli1, Laura Fratiglioni2, Massimo Musicco3, Ingegerd Johansson4, Fulvio Adorni3, Behnaz Shakersain5, Debora Rizzuto5, Weili Xu6. 1. Epidemiology Unit, Institute of Biomedical Technologies-National Research Council, Italy; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Sweden. Electronic address: federica.prinelli@itb.cnr.it. 2. Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden. 3. Epidemiology Unit, Institute of Biomedical Technologies-National Research Council, Italy. 4. Department of Odontology, Umeå University, Umeå, Sweden. 5. Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Sweden. 6. Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Sweden; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China. Electronic address: xuweili@tmu.edu.cn.
Abstract
BACKGROUND & AIMS: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
BACKGROUND & AIMS: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Maija P T Ylilauri; Sari Hantunen; Eija Lönnroos; Jukka T Salonen; Tomi-Pekka Tuomainen; Jyrki K Virtanen Journal: Eur J Nutr Date: 2022-02-25 Impact factor: 4.865
Authors: Roisin F O'Neill; Lorraine Brennan; Federica Prinelli; Giuseppe Sergi; Caterina Trevisan; Lisette C P G M De Groot; Dorothee Volkert; Stefania Maggi; Marianna Noale; Silvia Conti; Fulvio Adorni; Jayne V Woodside; Michelle C McKinley; Bernadette McGuinness; Chris Cardwell; Claire T McEvoy Journal: Nutr Bull Date: 2022-07-20