Adult-Life Alcohol Consumption and Age-Related Cognitive Decline from Early Adulthood to Late Midlife

2019 ◽  
Vol 54 (4) ◽  
pp. 446-454 ◽  
Author(s):  
Marie Grønkjær ◽  
Trine Flensborg-Madsen ◽  
Merete Osler ◽  
Holger J Sørensen ◽  
Ulrik Becker ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Cognitive Decline ◽  
Binge Drinking ◽  
Early Adulthood ◽  
Adult Life ◽  
Age Related ◽  
Iq Scores ◽  
Age Related Cognitive Decline ◽  
Weekly Alcohol Consumption ◽  
Late Midlife

Abstract Aims Alcohol consumption is a modifiable and plausible risk factor for age-related cognitive decline but more longitudinal studies investigating the association are needed. Our aims were to estimate associations of adult-life alcohol consumption and consumption patterns with age-related cognitive decline. Methods We investigated the associations of self-reported adult-life weekly alcohol consumption and weekly extreme binge drinking (≥10 units on the same occasion) with changes in test scores on an identical validated test of intelligence completed in early adulthood and late midlife in 2498 Danish men from the Lifestyle and Cognition Follow-up study 2015. Analyses were adjusted for year of birth, retest interval, baseline IQ, education and smoking. Results Men with adult-life alcohol consumption of more than 28 units/week had a larger decline in IQ scores from early adulthood to late midlife than men consuming 1–14 units/week (B29–35units/week = −3.6; P < 0.001). Likewise, a 1-year increase in weekly extreme binge drinking was associated with a 0.12-point decline in IQ scores (P < 0.001). Weekly extreme binge drinking explained more variance in IQ changes than average weekly consumption. In analyses including mutual adjustment of weekly extreme binge drinking and average weekly alcohol consumption, the estimated IQ decline associated with extreme binge drinking was largely unaffected, whereas the association with weekly alcohol consumption became non-significant. Conclusions Adult-life heavy alcohol consumption and extreme binge drinking appear to be associated with larger cognitive decline in men. Moreover, extreme binge drinking may be more important than weekly alcohol consumption in relation to cognitive decline.

Cognitive change before old age (11 to 70) predicts cognitive change after old age (70 to 82)

2021 ◽  
Author(s):  
Federica Conte ◽  
Judith Okely ◽  
Olivia Hamilton ◽  
Janie Corley ◽  
Danielle Page ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Old Age ◽  
Social Impact ◽  
Adult Life ◽  
Cognitive Change ◽  
Older Age ◽  
Growth Curve Models ◽  
Age Related ◽  
Lothian Birth Cohort ◽  
Age Related Cognitive Decline

Identifying predictors of cognitive decline within older age helps to understand its mechanisms and to identify those at greater risk. Here we examine how cognitive change from 11 to 70 years is associated with cognitive change within older age (70 to 82 years) in the Lothian Birth Cohort 1936 longitudinal study (N=1091 at recruitment). Using latent growth curve models, we estimate rates of change from age 70 to 82 in general cognitive ability (g) and in three cognitive domains: visuospatial, memory and processing speed. g accounted for 71.3% of interindividual change variance. Greater 11-70 cognitive gain predicted slower decline in g over 12 subsequent years (β = .163, p = .001), independently of cognitive level at age 70, and domain-specific change beyond g. These results contribute toward identifying people at higher risk of age-related cognitive decline. Age-related cognitive decline is a significant threat to the quality of life in older age. Its economic and social impact on society will increase together with the steadily rising life expectancy. How can we preserve cognitive health in older age? Researchers have made significant advances in identifying protective and risk factors. However, most studies focus on a limited age range, and cognitive change mechanisms are not yet completely understood. This work takes advantage of almost life-spanning longitudinal data to test if cognitive trajectory across childhood and adulthood can predict cognitive trajectories in older age. Our findings show that earlier change is associated with later change. Some factors related to individual differences in cognitive change might thus operate over much of the adult life course, and certainly before older age. This knowledge can help identify individuals at higher risk of decline and understand the mechanisms and factors responsible.

Activity Engagement in Cognitive Aging: A Review of the Evidence

2013 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Activity ◽  
Current Evidence ◽  
Omega 3 ◽  
Neuroprotective Effects ◽  
Activity Engagement ◽  
Age Related ◽  
Age Related Cognitive Decline

The population of older adults is rapidly increasing, as is the number and type of products and interventions proposed to prevent or reduce the risk of age-related cognitive decline. Advocacy and prevention are part of the American Speech-Language-Hearing Association’s (ASHA’s) scope of practice documents, and speech-language pathologists must have basic awareness of the evidence contributing to healthy cognitive aging. In this article, we provide a brief overview outlining the evidence on activity engagement and its effects on cognition in older adults. We explore the current evidence around the activities of eating and drinking with a discussion on the potential benefits of omega-3 fatty acids, polyphenols, alcohol, and coffee. We investigate the evidence on the hypothesized neuroprotective effects of social activity, the evidence on computerized cognitive training, and the emerging behavioral and neuroimaging evidence on physical activity. We conclude that actively aging using a combination of several strategies may be our best line of defense against cognitive decline.

scholarly journals Targeting impaired nutrient sensing with repurposed therapeutics to prevent or treat age-related cognitive decline and dementia: A systematic review

2021 ◽  
Vol 67 ◽  
pp. 101302
Author(s):  
Benjamin Kioussis ◽  
Camilla S.L. Tuttle ◽  
Daniel S. Heard ◽  
Brian K. Kennedy ◽  
Nicola T. Lautenschlager ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Decline ◽  
Nutrient Sensing ◽  
Age Related ◽  
Age Related Cognitive Decline

scholarly journals Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia

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 ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Expression Patterns ◽  
Age Groups ◽  
Genetic Network ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

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.

scholarly journals Multimodal measurement approach to identify individuals with mild cognitive impairment: study protocol for a cross-sectional trial

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Statistical Analysis ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Classification Accuracy ◽  
Multimodal Approach ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

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.

scholarly journals Hippocampal dysregulation of synaptic plasticity-associated proteins with age-related cognitive decline

2011 ◽  
Vol 43 (1) ◽  
pp. 201-212 ◽  
Author(s):  
Heather D. VanGuilder ◽  
Julie A. Farley ◽  
Han Yan ◽  
Colleen A. Van Kirk ◽  
Matthew Mitschelen ◽  
...  
Keyword(s):  
Synaptic Plasticity ◽  
Cognitive Decline ◽  
Age Related ◽  
Associated Proteins ◽  
Age Related Cognitive Decline
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