scholarly journals Dietary Long-Chain Fatty Acids and Cognitive Performance in Older Australian Adults

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 711 ◽  
Author(s):  
Lesley MacDonald-Wicks ◽  
Mark McEvoy ◽  
Eliza Magennis ◽  
Peter Schofield ◽  
Amanda Patterson ◽  
...  

Convincing evidence exists for the positive effect of an improvement in diet quality on age-related cognitive decline, in part due to dietary fatty acid intake. A cross-sectional analysis of data from the Hunter Community Study (HCS) (n = 2750) was conducted comparing dietary data from a validated Food Frequency Questionnaire (FFQ) with validated cognitive performance measures, Audio Recorded Cognitive Screen (ARCS) and Mini Mental State Examination (MMSE). Adjusted linear regression analysis found statistically significant associations between dietary intake of total n-6 fatty acids (FA), but no other FAs, and better cognitive performance as measured by the ARCS (RC = 0.0043; p = 0.0004; R2 = 0.0084). Multivariate regression analyses of n-6 FA intakes in quartiles showed that, compared with the lowest quartile (179.8–1150.3 mg), those in the highest quartile (2315.0–7449.4 mg) had a total ARCS score 2.1 units greater (RC = 10.60466; p = 0.006; R2 = 0.0081). Furthermore, when n-6 FA intake was tested against each of the ARCS domains, statistically significant associations were observed for the Fluency (RC = 0.0011432; p = 0.007; R2 = 0.0057), Visual (RC = 0.0009889; p = 0.034; R2 = 0.0050), Language (RC = 0.0010651; p = 0.047; R2 = 0.0068) and Attention (RC = 0.0011605; p = 0.017; R2 = 0.0099) domains, yet there was no association with Memory (RC = −0.000064; p = 0.889; R2 = 0.0083). No statistically significant associations were observed between FA intakes and MMSE. A higher intake of total n-6 FA, but not other types of FA, was associated with better cognitive performance among a representative sample of older aged Australian adults.

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  

IntroductionThe diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysisThis study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiological signals will be measured during rest and while performing cognitive tasks: (1) Stroop, (2) N-back and (3) verbal fluency test (VFT). Main aims of statistical analysis are to (1) determine the differences in neurophysiological responses of HC and MCI, (2) investigate relationships between measures of cognitive performance and neurophysiological responses and (3) investigate whether the classification accuracy can be improved by using our multimodal approach. To meet these targets, statistical analysis will include machine learning approaches.This is, to the best of our knowledge, the first study that applies simultaneously these three modalities in MCI and HC. We hypothesise that the multimodal approach improves the classification accuracy between HC and MCI as compared with a unimodal approach. If our hypothesis is verified, this study paves the way for additional research on multimodal approaches for dementia research and fosters the exploration of new biomarkers for an early detection of nonphysiological age-related cognitive decline.Ethics and disseminationEthics approval was obtained from the local Ethics Committee (reference: 83/19). Data will be shared with the scientific community no more than 1 year following completion of study and data assembly.Trial registration numberClinicalTrials.gov, NCT04427436, registered on 10 June 2020, https://clinicaltrials.gov/ct2/show/study/NCT04427436.


2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Meghan B. Mitchell ◽  
Cynthia R. Cimino ◽  
Andreana Benitez ◽  
Cassandra L. Brown ◽  
Laura E. Gibbons ◽  
...  

Engagement in cognitively stimulating activities has been considered to maintain or strengthen cognitive skills, thereby minimizing age-related cognitive decline. While the idea that there may be a modifiable behavior that could lower risk for cognitive decline is appealing and potentially empowering for older adults, research findings have not consistently supported the beneficial effects of engaging in cognitively stimulating tasks. Using observational studies of naturalistic cognitive activities, we report a series of mixed effects models that include baseline and change in cognitive activity predicting cognitive outcomes over up to 21 years in four longitudinal studies of aging. Consistent evidence was found for cross-sectional relationships between level of cognitive activity and cognitive test performance. Baseline activity at an earlier age did not, however, predict rate of decline later in life, thus not supporting the concept that engaging in cognitive activity at an earlier point in time increases one's ability to mitigate future age-related cognitive decline. In contrast, change in activity was associated with relative change in cognitive performance. Results therefore suggest that change in cognitive activity from one's previous level has at least a transitory association with cognitive performance measured at the same point in time.


Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1611
Author(s):  
Nur Fathiah Abdul Abdul Sani ◽  
Ahmad Imran Zaydi Amir Amir Hamzah ◽  
Zulzikry Hafiz Abu Abu Bakar ◽  
Yasmin Anum Mohd Mohd Yusof ◽  
Suzana Makpol ◽  
...  

The mechanism of cognitive aging at the molecular level is complex and not well understood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased age. The gene set analysis suggests that the Malay adult’s susceptibility to developing age-related cognitive decline might be due to the changes in gene expression patterns associated with inflammation, signal transduction, and metabolic pathway in the genetic network. It may, perhaps, have important implications for finding a biomarker for cognitive decline and offer molecular targets to achieve successful aging, mainly in the Malay population in Malaysia.


2021 ◽  
Vol 13 ◽  
Author(s):  
Megan C. Bakeberg ◽  
Anastazja M. Gorecki ◽  
Jade E. Kenna ◽  
Alexa Jefferson ◽  
Michelle Byrnes ◽  
...  

IntroductionCholesterol levels have been associated with age-related cognitive decline, however, such an association has not been comprehensively explored in people with Parkinson’s disease (PD). To address this uncertainty, the current cross-sectional study examined the cholesterol profile and cognitive performance in a cohort of PD patients.MethodsCognitive function was evaluated using two validated assessments (ACE-R and SCOPA-COG) in 182 people with PD from the Australian Parkinson’s Disease Registry. Total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and Triglyceride (TRG) levels were examined within this cohort. The influence of individual lipid subfractions on domain-specific cognitive performance was investigated using covariate-adjusted generalised linear models.ResultsFemales with PD exhibited significantly higher lipid subfraction levels (TC, HDL, and LDL) when compared to male counterparts. While accounting for covariates, HDL levels were strongly associated with poorer performance across multiple cognitive domains in females but not males. Conversely, TC and LDL levels were not associated with cognitive status in people with PD.ConclusionHigher serum HDL associates with poorer cognitive function in females with PD and presents a sex-specific biomarker for cognitive impairment in PD.


2021 ◽  
Author(s):  
Raihaan Patel ◽  
Clare E. Mackay ◽  
Michelle G. Jansen ◽  
Gabriel A. Devenyi ◽  
M. Clare O’Donoghue ◽  
...  

AbstractWhile all individuals are susceptible to age-related cognitive decline, significant inter- and intra-individual variability exists. However, the sources of this variation remain poorly understood. Here, we examined the association between 30-year trajectories of cognitive decline and multimodal indices of brain microstructure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort using 3T brain magnetic resonance images acquired at older age (mean age = 69.52 ± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ± 4.9 years) and late-life (mean age = 67.7 ± 4.9). Using non-negative matrix factorization, we identified 10 brain microstructural components that integrate measures of cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two modes of variance that describe the association between cognition and brain microstructure. The first describes variations in 5 microstructural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning abilities, but a relative maintenance of lexical and semantic fluency from mid-to-late life. The second describes variations in 5 microstructural components that are associated with low mid-life performance in lexical fluency, semantic fluency and short-term memory performance, but a retention of abilities in multiple domains from mid-to-late life. The extent to which a subject loads onto a latent variables predicts their future cognitive performance 3.2 years later (mean age = 70.87 ± 4.9). This data-driven approach highlights a complex pattern of brain-behavior relationships, wherein the same individuals express both decline and maintenance in function across cognitive domains and in brain structural features.Significance StatementAlthough declines in cognitive performance are an established aspect of aging, inter- and intra-individual variation exists. Nevertheless, the sources of this variation remain unclear. We analyse a unique sample to examine associations between 30-year trajectories of cognitive decline and multimodal indices of brain anatomy in older age. Using data-driven techniques, we find that age-related cognitive decline is not uniform. Instead, each individual expresses a mixture of maintenance and decline across cognitive domains, that are associated with a mixture of preservation and degeneration of brain structure. Further, we find the primary determinants of late-life cognitive performance are mid-life performance and higher brain surface area. These results suggest that early and mid-life preventative measures may be needed to reduce age-related cognitive decline.


2011 ◽  
Vol 14 (12) ◽  
pp. 2236-2244 ◽  
Author(s):  
Myriam Fillion ◽  
Mélanie Lemire ◽  
Aline Philibert ◽  
Benoît Frenette ◽  
Hope Alberta Weiler ◽  
...  

AbstractObjectiveTo examine the associations between near and distant visual acuity and biomarkers of Hg, Pb, n-3 fatty acids and Se from the local diet of fish-eating communities of the Tapajós River in the Brazilian Amazon.DesignVisuo-ocular health and biomarkers of Hg (hair, whole blood, plasma), Pb (whole blood), Se (whole blood and plasma) and n-3 fatty acids (plasma total phospholipids) were assessed in a cross-sectional study.SettingLower Tapajós River Basin (State of Pará, Brazil), May to July 2006.SubjectsTwo hundred and forty-three adults (≥15 years) without diagnosed age-related cataracts or ocular pathologies.ResultsNear visual acuity was negatively associated with hair Hg and positively associated with %DHA, with a highly significant Log Hg × age interaction term. Stratifying for age showed that while young people presented good acuity, for those aged ≥40 years, clinical presbyopia was associated with hair Hg ≥ 15 μg/g (OR = 3·93, 95 % CI 1·25, 14·18) and %DHA (OR = 0·37, 95 % CI 0·11, 1·11). A similar age-related pattern was observed for distant visual acuity in relation to blood Pb, but the evidence was weaker.ConclusionsThese findings suggest that Hg and Pb may affect visual acuity in older persons, while DHA appears to be protective for near visual acuity loss. In this population, with little access to eye care, diet may have an important influence on visuo-ocular ageing.


2020 ◽  
Author(s):  
Yilin Pang ◽  
Xiaoguang Cao ◽  
Xianru Hou ◽  
Li Yuan ◽  
Yongzhen Bao

Abstract Background: To investigate the relationship between corneal astigmatism and age, axial length (AL) among Chinese over fifty years old. Methods: This study enrolled 1,082 right eyes of age-related cataract patients over 50 years old in the clinic of Peking University People’s Hospital, Beijing, China. Axial length, magnitude and meridian of anterior corneal astigmatism were measured by IOLMaster. Restricted cubic splines and Spearman rank correlation coefficients were used to investigate the relationship of the magnitude of cornea astigmatism to age and AL. Power vector analysis method and linear regression analysis were used to assess the relationship of the meridian of astigmatism to age and AL. Results: For this study , mean age, AL, and corneal astigmatism value were 72.45 ±9.28 years, 23.90±1.93mm, and 1.12±0.74D, respectively. The magnitude of corneal astigmatism was 0.75D or higher in 63.8% eyes. The magnitude of corneal astigmatism increased with age after 65 years old. This correlation was statistically significant when AL was between 22.00mm and 26.00mm. The vector value in J 0 was inversely correlated with age. The mean vector value change from with-the-rule (WTR) to against-the-rule (ATR) corneal astigmatism was 0.22D/10 years during 50-65 years old and 0.15D/10 years during 65-85 years old, and was 0.22D/10 years in male and 0.12D/10 years in female, respectively. Conclusions: A large proportion of elderly Chinese cataract patients over 50 years old have corneal astigmatism more than 0.75D . There was a non-linear trend from WTR astigmatism towards ATR astigmatism with age, which was more obvious in elder age and in male. When AL is between 22.00mm and 26.00mm, the magnitude of corneal astigmatism increases with age after 65 years old.


2008 ◽  
Vol 12 (6) ◽  
pp. 382-386 ◽  
Author(s):  
V. Solfrizzi ◽  
C. Capurs ◽  
A. D’Introno ◽  
A. M. Colacicco ◽  
V. Frisardi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document