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Role of dietary pattern analysis in determining cognitive status in elderly Australian adults.
Nutrients. 2015 Feb 04; 7(2):1052-67.N

Abstract

Principal Component Analysis (PCA) was used to determine the association between dietary patterns and cognitive function and to examine how classification systems based on food groups and food items affect levels of association between diet and cognitive function. The present study focuses on the older segment of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) sample (age 60+) that completed the food frequency questionnaire at Wave 1 (1999/2000) and the mini-mental state examination and tests of memory, verbal ability and processing speed at Wave 3 (2012). Three methods were used in order to classify these foods before applying PCA. In the first instance, the 101 individual food items asked about in the questionnaire were used (no categorisation). In the second and third instances, foods were combined and reduced to 32 and 20 food groups, respectively, based on nutrient content and culinary usage-a method employed in several other published studies for PCA. Logistic regression analysis and generalized linear modelling was used to analyse the relationship between PCA-derived dietary patterns and cognitive outcome. Broader food group classifications resulted in a greater proportion of food use variance in the sample being explained (use of 101 individual foods explained 23.22% of total food use, while use of 32 and 20 food groups explained 29.74% and 30.74% of total variance in food use in the sample, respectively). Three dietary patterns were found to be associated with decreased odds of cognitive impairment (CI). Dietary patterns derived from 101 individual food items showed that for every one unit increase in ((Fruit and Vegetable Pattern: p=0.030, OR 1.061, confidence interval: 1.006-1.118); (Fish, Legumes and Vegetable Pattern: p=0.040, OR 1.032, confidence interval: 1.001-1.064); (Dairy, Cereal and Eggs Pattern: p=0.003, OR 1.020, confidence interval: 1.007-1.033)), the odds of cognitive impairment decreased. Different results were observed when the effect of dietary patterns on memory, processing speed and vocabulary were examined. Complex patterns of associations between dietary factors and cognition were evident, with the most consistent finding being the protective effects of high vegetable and plant-based food item consumption and negative effects of 'Western' patterns on cognition. Further long-term studies and investigation of the best methods for dietary measurement are needed to better understand diet-disease relationships in this age group.

Authors+Show Affiliations

Centre for Research on Ageing, Health & Wellbeing, The Australian National University, Florey, Building 54, Mills Road, Acton, ACT 2601, Australia. kimberly.ashby-mitchell@anu.edu.au.Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne VIC 3004, Australia. anna.peeters@bakeridi.edu.au.Centre for Research on Ageing, Health & Wellbeing, The Australian National University, Florey, Building 54, Mills Road, Acton, ACT 2601, Australia. Kaarin.anstey@anu.edu.au.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25658241

Citation

Ashby-Mitchell, Kimberly, et al. "Role of Dietary Pattern Analysis in Determining Cognitive Status in Elderly Australian Adults." Nutrients, vol. 7, no. 2, 2015, pp. 1052-67.
Ashby-Mitchell K, Peeters A, Anstey KJ. Role of dietary pattern analysis in determining cognitive status in elderly Australian adults. Nutrients. 2015;7(2):1052-67.
Ashby-Mitchell, K., Peeters, A., & Anstey, K. J. (2015). Role of dietary pattern analysis in determining cognitive status in elderly Australian adults. Nutrients, 7(2), 1052-67. https://doi.org/10.3390/nu7021052
Ashby-Mitchell K, Peeters A, Anstey KJ. Role of Dietary Pattern Analysis in Determining Cognitive Status in Elderly Australian Adults. Nutrients. 2015 Feb 4;7(2):1052-67. PubMed PMID: 25658241.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Role of dietary pattern analysis in determining cognitive status in elderly Australian adults. AU - Ashby-Mitchell,Kimberly, AU - Peeters,Anna, AU - Anstey,Kaarin J, Y1 - 2015/02/04/ PY - 2014/11/20/received PY - 2014/12/19/revised PY - 2015/01/20/accepted PY - 2015/2/7/entrez PY - 2015/2/7/pubmed PY - 2015/10/8/medline SP - 1052 EP - 67 JF - Nutrients JO - Nutrients VL - 7 IS - 2 N2 - Principal Component Analysis (PCA) was used to determine the association between dietary patterns and cognitive function and to examine how classification systems based on food groups and food items affect levels of association between diet and cognitive function. The present study focuses on the older segment of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) sample (age 60+) that completed the food frequency questionnaire at Wave 1 (1999/2000) and the mini-mental state examination and tests of memory, verbal ability and processing speed at Wave 3 (2012). Three methods were used in order to classify these foods before applying PCA. In the first instance, the 101 individual food items asked about in the questionnaire were used (no categorisation). In the second and third instances, foods were combined and reduced to 32 and 20 food groups, respectively, based on nutrient content and culinary usage-a method employed in several other published studies for PCA. Logistic regression analysis and generalized linear modelling was used to analyse the relationship between PCA-derived dietary patterns and cognitive outcome. Broader food group classifications resulted in a greater proportion of food use variance in the sample being explained (use of 101 individual foods explained 23.22% of total food use, while use of 32 and 20 food groups explained 29.74% and 30.74% of total variance in food use in the sample, respectively). Three dietary patterns were found to be associated with decreased odds of cognitive impairment (CI). Dietary patterns derived from 101 individual food items showed that for every one unit increase in ((Fruit and Vegetable Pattern: p=0.030, OR 1.061, confidence interval: 1.006-1.118); (Fish, Legumes and Vegetable Pattern: p=0.040, OR 1.032, confidence interval: 1.001-1.064); (Dairy, Cereal and Eggs Pattern: p=0.003, OR 1.020, confidence interval: 1.007-1.033)), the odds of cognitive impairment decreased. Different results were observed when the effect of dietary patterns on memory, processing speed and vocabulary were examined. Complex patterns of associations between dietary factors and cognition were evident, with the most consistent finding being the protective effects of high vegetable and plant-based food item consumption and negative effects of 'Western' patterns on cognition. Further long-term studies and investigation of the best methods for dietary measurement are needed to better understand diet-disease relationships in this age group. SN - 2072-6643 UR - https://www.unboundmedicine.com/medline/citation/25658241/Role_of_dietary_pattern_analysis_in_determining_cognitive_status_in_elderly_Australian_adults_ L2 - http://www.mdpi.com/resolver?pii=nu7021052 DB - PRIME DP - Unbound Medicine ER -