Good and poor cognitive performers differ at nutrient intake level Belina Ferreira - Rodrigues 1,2,3 , Carlos Portugal - Nunes 1,2,3 , Teresa Castanho 1,2,3 , Nuno Sousa 1,2,3 , Nadine Santos 1,2,3 . 1 - Life and Health Sciences Research Instjtute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal 2 - ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal 3 - Clinical Academic Center – Braga, Braga, Portugal Introductjon Results B - Good and poor cognitjve performers ’ intake A - Baseline characteristjcs Poor cognitjve performers Good cognitjve performers Ageing is a critjcal issue worldwide. In Portugal, estjmates of 2016 indicated that 2.1 million people Poor cognitjve Good cognitjve Variables P - value were aged 65 years old or older, accountjng for 20% of the populatjon. performers performers F o la te ( g ) V ita m in B 6 (m g ) T h ia m in e (m g ) .24 1 5 8 0 0 3 FEMALES (n, %) 26 (57.4%) 26 (44.8%) * Normal ageing is associated not only with global cognitjve functjon decline but also with impaired * * .39 2 4 AGE (Mean, SD) 65.9 (7.3) 64.6 (8.7) cognitjve fmexibility, processing speed and short - term memory. 6 0 0 2 3 employed 10 (21.3%) 15 (25.9%) OCCUPATION 4 0 0 Nutritjonal status, food patuerns, food groups and intake of certain nutrients infmuence the global .81 3 retjred 33 (70.2%) 39 (67.2%) 2 P R I P R I 1 (n, %) P R I cognitjve functjon. Thus, overall the literature suggests that adherence to a healthy dietary patuern 2 0 0 unemployed 4 (8.5%) 4 (6.9%) 1 inconsistent and more research is warranted to determine the mechanisms. is associated with less cognitjve decline and/or a lower risk of dementja. However, fjndings are 0 - 3 years 14 (29.8%) 7 (12.1%) SCHOOL 0 0 0 p<.001 1 ATTAINMENT 4 years 29 (61.7%) 27 (46.6%) (n, %) >4 years 4 (8.5%) 24 (41.4%) C a lc iu m (m g ) S o d iu m (m g ) P o ta s s iu m (m g ) and dietary intake in older community dwellers. Hence, we explored the cross - sectjonal relatjonship between good and poor cognitjve performance 1 5 0 0 * 6 0 0 0 6 0 0 0 Non - smoker 36 (76.6%) 32 (55.2%) * * SMOKING HABITS .088 3 Former smoker 8 (17.0%) 19 (32.8%) (n, %) 1 0 0 0 4 0 0 0 4 0 0 0 P R I The following date are preliminary results obtained from a cross - sectjonal analysis. Smoker 3 (6.4%) 7 (12.1%) A I <25g 23 (48.9%) 27 (47.4%) W H O ´s 5 0 0 2 0 0 0 2 0 0 0 re co m m e n d a tio n 25 - 30g 12 (25.5%) 12 (21.1%) ALCOHOL .95 3 CONSUMPTION 50 - 75g 3 (6.4%) 6 (10.5%) 0 0 0 (n, %) 75 - 100g 7 (14.9%) 9 (15.8%) L y c o p e n e ( g ) >100g 2 (4.3%) 3 (5.3%) S e le n iu m ( g ) Z in c (m g ) 2 0 0 0 Methods 4 0 3 0 0 Never 31 (66.0%) 41 (70.7%) * * * PHYSICAL ACTIVITY <3 tjmes/week 5 (10.6%) 8 (13.8%) 1 5 0 0 3 0 .69 3 2 0 0 (n, %) ≥ 3 tjmes/week 6 (12.8%) 6 (10.3%) 1 0 0 0 2 0 P R I Daily 5 (10.6%) 3 (5.2%) A representatjve sample of the Portuguese older populatjon (n=1051) with respect to age, gender • 1 0 0 (6 0 0 m g P h yta te ) 5 0 0 1 0 A I Normal 8 (17.4%) 14 (25.0%) P R I and educatjon, from Guimarães and Vizela, underwent a batuery of neurocognitjve tests. Afuer a (3 0 0 m g P h yta te ) BMI CATEGORIES Overweight 24 (52.2%) 31 (55.4%) 0 principal component analysis of a subsample have identjfjed four signifjcant dimensions of the 0 0 .58 3 (n, %) Obesity Class I 11 (23.9%) 9 (16.1%) cognitjve functjon, four clusters have arisen: “ very good ”, “ good ”, “ poor ” and “ very poor ” cognitjve Obesity Class II 3 (6.5%) 2 (3.6%) P U F A s (g ) performers. Of those, 60 partjcipants of the “ very good ” and 60 partjcpants of the “ very poor ” clusters are being followed - up since 2012. In the present poster “ very good ” and “ very poor ” 2 0 1 – Pearson chi - square p - value | 2 - Independent T - test p - value | 3 - Fisher ’ s Exact test p - value * performers will be referred as good and poor performers, respectjvely. * 1 5 In the fjrst wave of assessment (2012), data on dietary intake was collected via 24 - hour dietary • 1 0 recall (n=105) by an experienced dietjtjan. PRI—populatjon reference intake 5 Nutrients intakes were determined by Nutrilog SAS sofuware (version 2.3). • * B - Good and poor cognitjve performers ’ intake AI— adequate intake 0 Afuer testjng the assumptjons independent t - tests and Mann - Whitney test were run between poor • T o ta l P U F A 1 8 :2 1 8 :3 Poor cognitjve performers and good performance groups to determine whether there were statjstjcal difgerences. Good cognitjve performers C a rb o h y d ra te s , p ro te in a n d fib e r in ta k e E n e rg y in ta k e (K c a l) Conclusions 3 5 0 0 * 4 0 0 References 3 0 0 0 C o n s u m p tio n (g ) 3 0 0 INE. Portal do Instituto Nacional de Estatística [cited 2017 Apr 18]. Available from: URL: https://www.ine.pt/xportal/ • 2 5 0 0 xmain?xpid=INE&xpgid=ine_destaques&DESTAQUESdest_boui=277695619&DESTAQUESmodo=2. * Good cognitjve performers displayed a statjstjcally signifjcant higher intake of protein, thiamine, • 2 0 0 0 2 0 0 Costa PS, Santos NC, Cunha P, Palha JA, Sousa N. The use of bayesian latent class cluster models to classify pat- • folate, potassium, vitamin B6, dietary fjber, lycopene, calcium, zinc and selenium. As for 1 5 0 0 terns of cognitive performance in healthy ageing. PLoS One 2013; 8(8):e71940. 1 0 0 performers but also the α - linolenic acid and linoleic acid consumptjons. polyunsaturated fatuy acids (PUFA), not only PUFA intake was signifjcantly higher in the good 1 0 0 0 * Aging IoMCotPHDoC. Cognitive aging: Progress in understanding and opportunities for action; 2015. • 5 0 0 0 van de Rest O, Am Berendsen A, Haveman - Nies A, Groot LC de. Dietary patterns, cognitive decline, and dementia: • C a rb o h yd ra te s P ro te in F ib e r 0 a systematic review. Adv Nutr 2015; 6(2):154 – 68. functjon domain and nutrients intakes and dietary patuerns. Further analysis are required to analyse the relatjonships of causality between each cognitjve • Marques PCG, Soares JMM, Magalhaes RJdS, Santos NC, Sousa NJC. Macro - and micro - structural white matter dif- • ferences correlate with cognitive performance in healthy aging. Brain Imaging Behav 2016; 10(1):168 – 81. Santos NC, Moreira PS, Castanho TC, Sousa N, Costa PS. Discriminant power of socio - demographic characteristics • and mood in distinguishing cognitive performance clusters in older individuals: a cross - sectional analysis. Aging Ment Health 2016:1 – 6. Funded by Partners Organisatjons Benefjciaries Physical Actjvity and Nutritjon INfmuences in ageing (PANINI) Project no. 675003
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