scholarly journals Two separate, large cohorts reveal potential modifiers of age-associated variation in visual reaction time performance

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
J. S. Talboom ◽  
M. D. De Both ◽  
M. A. Naymik ◽  
A. M. Schmidt ◽  
C. R. Lewis ◽  
...  
Keyword(s):  
Reaction Time ◽  
Visual Recognition ◽  
Uk Biobank ◽  
Associate Learning ◽  
Cross Sectional ◽  
Age Related ◽  
Visual Reaction ◽  
History Of ◽  
Potential Factors ◽  
The Uk

AbstractTo identify potential factors influencing age-related cognitive decline and disease, we created MindCrowd. MindCrowd is a cross-sectional web-based assessment of simple visual (sv) reaction time (RT) and paired-associate learning (PAL). svRT and PAL results were combined with 22 survey questions. Analysis of svRT revealed education and stroke as potential modifiers of changes in processing speed and memory from younger to older ages (ntotal = 75,666, nwomen = 47,700, nmen = 27,966; ages 18–85 years old, mean (M)Age = 46.54, standard deviation (SD)Age = 18.40). To complement this work, we evaluated complex visual recognition reaction time (cvrRT) in the UK Biobank (ntotal = 158,249 nwomen = 89,333 nmen = 68,916; ages 40–70 years old, MAge = 55.81, SDAge = 7.72). Similarities between the UK Biobank and MindCrowd were assessed using a subset of MindCrowd (UKBb MindCrowd) selected to mirror the UK Biobank demographics (ntotal = 39,795, nwomen = 29,640, nmen = 10,155; ages 40–70 years old, MAge = 56.59, SDAge = 8.16). An identical linear model (LM) was used to assess both cohorts. Analyses revealed similarities between MindCrowd and the UK Biobank across most results. Divergent findings from the UK Biobank included (1) a first-degree family history of Alzheimer’s disease (FHAD) was associated with longer cvrRT. (2) Men with the least education were associated with longer cvrRTs comparable to women across all educational attainment levels. Divergent findings from UKBb MindCrowd included more education being associated with shorter svRTs and a history of smoking with longer svRTs from younger to older ages.

scholarly journals Two Separate, Large Cohorts Reveal Modifiers of Age-Related Change in Visual Reaction Time Performance

2020 ◽  
Author(s):  
Joshua S Talboom ◽  
Matt D De Both ◽  
Marcus A Naymic ◽  
Annie M Schmidt ◽  
Candace R Lewis ◽  
...  
Keyword(s):  
Reaction Time ◽  
Processing Speed ◽  
Brain Aging ◽  
Memory Task ◽  
Uk Biobank ◽  
Visual Reaction Time ◽  
Cohort Differences ◽  
Age Related ◽  
Visual Reaction ◽  
The Uk

To help identify factors influencing age-related cognitive decline and disease, a web-based simple visual reaction time (RT and svRT respectively, index of processing speed) and paired-associate learning (PAL, indexing of verbal episodic memory) task were implemented. Test results were combined with 22 survey questions. An analysis of RT and svTR data from the MindCrowd (n=75,666) cohort revealed education and reported stroke as potential modifiers of age-associated processing speed and memory decline. As a complement, we evaluated complex, recognition, reaction time (cvrRT) in the UK Biobank cohort and compared the results to a subset of the MindCrowd cohort, creating UKBb MindCrowd (n=39,795), mirroring the UK Biobank's (n=158,247) age range (40-70y). Many estimates from an identical linear model, used for both cohorts, were similar despite noted cohort differences (e.g., USA vs. the UK). Results from the UK Biobank that differed from UKBb MindCrowd included a first-degree family history Alzheimer's disease (FHAD) associated with slower cvrRTs and that sex and education affected age-related cvrRT slowing. While results from UKBb MindCrowd suggested that education and smoking status were related to opposite effects on age-related svRT slowing. MindCrowd's collected RT and PAL findings have begun to pull back the curtain on the intricate network connecting processing speed, memory, and cognition to healthy and pathological brain aging.

scholarly journals Cross-sectional study of cognitive function in women with a history of eating disorders in the UK Biobank cohort

2020 ◽  
Author(s):  
Maria Bracho ◽  
Breda Cullen
Keyword(s):  
Eating Disorders ◽  
Cognitive Functions ◽  
Cross Sectional Study ◽  
Older Age ◽  
Uk Biobank ◽  
Sectional Study ◽  
Cross Sectional ◽  
Small Effect Size ◽  
History Of ◽  
The Uk

Objective: The present study aimed to compare the cognitive functions of women who reported a history of eating disorders (ED) with women who did not report any such history. Within the group of women who reported a history of ED, it aimed to compare the cognitive functions of those who met anorexia nervosa body mass index (BMI) criteria at the time of assessment with those who did not meet such criteria. Method: The sample in this observational cross-sectional study belonged to the UK Biobank cohort, and consisted of 260,601 women in middle to older age, of whom 347 had a lifetime history of ED. Participants underwent sociodemographic, medical and psychological evaluation, and were assessed with four computerized cognitive tasks. Multiple regression analyses were conducted to take account of covariates. Results: Slower reaction time was found in those with an ED history: differences of small effect size were found across different levels of model adjustment (d=-.096 [95% CI -.201, .009] to -.150 [95% CI -.249, -.052]). Reasoning, visuospatial memory and prospective memory were not significantly different between those with and without a history of ED. A consistent pattern of results was not found when comparing the sub-sample of participants with ED split according to current BMI criteria. Discussion: The findings suggest that an ED history may correlate with slower processing speed in middle to older age, but this may be partly accounted for by clinical covariates. Further research in population-representative cohorts is required.

Abstract 15887: Clonal Hematopoiesis Links Premature Menopause to Cardiovascular Disease

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Michael C Honigberg ◽  
Seyedeh Zekavat ◽  
Abhishek Niroula ◽  
Gabirel K Griffin ◽  
Alexander G Bick ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Strong Association ◽  
Premature Menopause ◽  
Uk Biobank ◽  
Clonal Hematopoiesis ◽  
Age Related ◽  
Cardiovascular Disease In Women ◽  
History Of ◽  
Artery Disease ◽  
The Uk

Introduction: Premature menopause is an independent risk factor for cardiovascular disease in women, but mechanisms underlying this association remain unclear. Clonal hematopoiesis of indeterminate potential (CHIP), the age-related expansion of hematopoietic cells with leukemogenic mutations, is associated with accelerated atherosclerosis. Whether premature menopause is associated with CHIP is unknown. Methods: We included postmenopausal women from the UK Biobank (N=11,509) aged 40-70 years with whole exome sequences and from the Women’s Health Initiative (WHI, N=8,111) aged 50-79 years with whole genome sequences. Premature menopause was defined as natural or surgical menopause occurring before age 40 years. Co-primary outcomes were the presence of (1) any CHIP and (2) CHIP with variant allele fraction (VAF) >0.1. Logistic regression tested the association of premature menopause with CHIP, adjusted for age, race, the first 10 principal components, smoking, diabetes mellitus, and hormone therapy use. Results: Across cohorts, prevalence of CHIP in women with vs. without a history of premature menopause was 8.8% vs. 5.5% (P<0.001), respectively. After multivariable adjustment, premature menopause was independently associated with CHIP, driven by associations with natural premature menopause (OR for all CHIP: 1.73, 95% CI 1.23-2.44; OR for CHIP with VAF >0.1: 1.91, 95% CI 1.30-2.80; Figure ). In gene-specific analyses, DNMT3A CHIP had a strong association with natural premature menopause but no association with surgical premature menopause. Among postmenopausal middle-aged women in the UK Biobank and WHI, CHIP was independently associated with incident coronary artery disease (meta-analyzed HR 1.52, 95% CI 1.17-1.99). Conclusions: Premature menopause, especially natural premature menopause, is independently associated with CHIP. CHIP may contribute to the excess cardiovascular risk associated with premature menopause.

scholarly journals Is Environmental and Occupational Particulate Air Pollution Exposure Related to Type-2 Diabetes and Dementia? A Cross-Sectional Analysis of the UK Biobank

2020 ◽  
Vol 17 (24) ◽  
pp. 9581
Author(s):  
Eirini Dimakakou ◽  
Helinor J. Johnston ◽  
George Streftaris ◽  
John W. Cherrie
Keyword(s):  
Air Pollution ◽  
Occupational Exposure ◽  
Environmental Exposure ◽  
Uk Biobank ◽  
Job Exposure Matrix ◽  
Cross Sectional ◽  
Particulate Air Pollution ◽  
The Uk ◽  
Sectional Analysis

Human exposure to particulate air pollution (e.g., PM2.5) can lead to adverse health effects, with compelling evidence that it can increase morbidity and mortality from respiratory and cardiovascular disease. More recently, there has also been evidence that long-term environmental exposure to particulate air pollution is associated with type-2 diabetes mellitus (T2DM) and dementia. There are many occupations that may expose workers to airborne particles and that some exposures in the workplace are very similar to environmental particulate pollution. We conducted a cross-sectional analysis of the UK Biobank cohort to verify the association between environmental particulate air pollution (PM2.5) exposure and T2DM and dementia, and to investigate if occupational exposure to particulates that are similar to those found in environmental air pollution could increase the odds of developing these diseases. The UK Biobank dataset comprises of over 500,000 participants from all over the UK. Environmental exposure variables were used from the UK Biobank. To estimate occupational exposure both the UK Biobank’s data and information from a job exposure matrix, specifically developed for UK Biobank (Airborne Chemical Exposure–Job Exposure Matrix (ACE JEM)), were used. The outcome measures were participants with T2DM and dementia. In appropriately adjusted models, environmental exposure to PM2.5 was associated with an odds ratio (OR) of 1.02 (95% CI 1.00 to 1.03) per unit exposure for developing T2DM, while PM2.5 was associated with an odds ratio of 1.06 (95% CI 0.96 to 1.16) per unit exposure for developing dementia. These environmental results align with existing findings in the published literature. Five occupational exposures (dust, fumes, diesel, mineral, and biological dust in the most recent job estimated with the ACE JEM) were investigated and the risks for most exposures for T2DM and for all the exposures for dementia were not significantly increased in the adjusted models. This was confirmed in a subgroup of participants where a full occupational history was available allowed an estimate of workplace exposures. However, when not adjusting for gender, some of the associations become significant, which suggests that there might be a bias between the occupational assessments for men and women. The results of the present study do not provide clear evidence of an association between occupational exposure to particulate matter and T2DM or dementia.

scholarly journals Willingness to receive future COVID-19 vaccines following the COVID-19 epidemic in Shanghai, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yehong Zhou ◽  
Junjie Zhang ◽  
Wenwen Wu ◽  
Man Liang ◽  
Qiang-Song Wu
Keyword(s):  
Vaccine Safety ◽  
Older Individuals ◽  
Regression Analyses ◽  
Pharmacological Interventions ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Associated ◽  
History Of ◽  
Potential Factors ◽  
To Receive

Abstract Background There are no pharmacological interventions currently available to prevent the transmission of SARS-CoV-2 or to treat COVID-19. The development of vaccines against COVID-19 is essential to contain the pandemic. we conducted a cross-sectional survey of Shanghai residents to understand residents’ willingness to be vaccinated with any future COVID-19 vaccines and take measures to further improve vaccination coverage. Methods We conducted a cross-sectional survey using self-administered anonymous questionnaires from 1 July to 8 September 2020. The main outcome was willingness of participants, and any children or older individuals living with them, to receive future COVID-19 vaccines. Logistic regression analyses were used to explore potential factors associated with vaccination willingness. Results A total of 1071 participants were asked about their willingness to receive future COVID-19 vaccines, for themselves and at least 747 children and 375 older individuals (≥60 years old) living with them. The highest proportion of expected willingness to vaccinate was among participants (88.6%), followed by children (85.3%) and older individuals (84.0%). The main reasons for reluctance to vaccinate among 119 participants were doubts regarding vaccine safety (60.0%) and efficacy (28.8%). Participants with a self-reported history of influenza vaccination were more likely to accept COVID-19 vaccines for themselves [adjusted odds ratio (OR) = 1.83; 95% confidence interval (CI): 1.19–2.82], their children (adjusted OR = 2.08; 95%CI: 1.30–3.33), and older individuals in their household (adjusted OR = 2.12; 95%CI: 1.14–3.99). Participants with older individuals in their families were less willing to vaccinate themselves (adjusted OR = 0.59; 95%CI: 0.40–0.87) and their children (adjusted OR = 0.58; 95%CI: 0.38–0.89). Conclusions Participants were more reluctant to accept COVID-19 vaccines for older individuals living with them. The presence of older individuals in the home also affected willingness of participants and their children to be vaccinated.

Abstract P127: Gender and Fitness Status Influence Age-related Decline in Peak Heart Rate Achievement: Insight From the FIT Cohort

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Haitham Ahmed ◽  
Di Zhao ◽  
Eliseo Guallar ◽  
Michael J Blaha ◽  
Clinton A Brawner ◽  
...  
Keyword(s):  
Heart Rate ◽  
Age Groups ◽  
Peak Heart Rate ◽  
Cross Sectional ◽  
Fitness Level ◽  
Age Related ◽  
Henry Ford ◽  
Exercise Treadmill ◽  
History Of ◽  
Separate Regression

Background: The declines in peak heart rate (HR) and fitness level with age are related; however, whether this association differs based on gender is not well appreciated. In a large cross-sectional cohort of women and men referred for a clinically indicated exercise treadmill test (ETT), we set out to determine whether the decrease in peak HR by age varied by gender (and fitness) in the Henry Ford Exercise Testing (FIT) project. Methods: We analyzed data on 38,196 apparently-healthy patients aged 18-96 [mean age 51 ± 12 yrs, 25% black, 48% women] who completed an ETT. Those with history of coronary heart disease, congestive heart failure, diabetes on medications, atrial fibrillation or flutter, or taking AV nodal blocking medications were excluded. Being “fit” was defined as achieving ≥ the median MET level for each sex/age-decile group. Peak HR vs age was plotted, and regression lines were used to determine the intercept and slope for each group. Results: Men had higher peak HR than women but with a greater decline over time; the respective intercepts and slopes for peak HR estimates were 202.9 and 0.90 for men and 197.3 and 0.80 for women, (p-interaction = 0.023). Fit people also started out with higher peak HR but approached unfit people at higher age groups; respective intercept and slope by fitness status were 203.0 and 0.87 for fit and 194.7 and 0.83 for unfit (p-interaction <0.001). Separate regression lines were generated for categories of fit men/unfit men, fit women/unfit women ( Figure ). Fit and unfit men had similar declines in peak HR with increasing age (slope=0.92); whereas fit women (slope=0.81) had a slightly greater decline in peak HR with increasing age than unfit women (slope=0.73). However, peak absolute HR for fit people still remains higher than for unfit people even into elderly ages. Conclusion: In this cross-sectional cohort of patients referred for a clinical ETT, we found that the age-related decline in peak HR is influenced by both gender and fitness status.

scholarly journals Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank

PLoS Medicine ◽  
2021 ◽  
Vol 18 (10) ◽  
pp. e1003782
Author(s):  
Michael Wainberg ◽  
Samuel E. Jones ◽  
Lindsay Melhuish Beaupre ◽  
Sean L. Hill ◽  
Daniel Felsky ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Sleep Duration ◽  
Sleep Efficiency ◽  
Risk Scores ◽  
Psychiatric Diagnoses ◽  
Uk Biobank ◽  
Major Depressive ◽  
Cross Sectional ◽  
Polygenic Risk ◽  
The Uk

Background Sleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale. Here, we aimed to examine the association of accelerometer-derived sleep measures with psychiatric diagnoses and polygenic risk scores in a large community-based cohort. Methods and findings In this post hoc cross-sectional analysis of the UK Biobank cohort, 10 interpretable sleep measures—bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration—were derived from 7-day accelerometry recordings across 89,205 participants (aged 43 to 79, 56% female, 97% self-reported white) taken between 2013 and 2015. These measures were examined for association with lifetime inpatient diagnoses of major depressive disorder, anxiety disorders, bipolar disorder/mania, and schizophrenia spectrum disorders from any time before the date of accelerometry, as well as polygenic risk scores for major depression, bipolar disorder, and schizophrenia. Covariates consisted of age and season at the time of the accelerometry recording, sex, Townsend deprivation index (an indicator of socioeconomic status), and the top 10 genotype principal components. We found that sleep pattern differences were ubiquitous across diagnoses: each diagnosis was associated with a median of 8.5 of the 10 accelerometer-derived sleep measures, with measures of sleep quality (for instance, sleep efficiency) generally more affected than mere sleep duration. Effect sizes were generally small: for instance, the largest magnitude effect size across the 4 diagnoses was β = −0.11 (95% confidence interval −0.13 to −0.10, p = 3 × 10−56, FDR = 6 × 10−55) for the association between lifetime inpatient major depressive disorder diagnosis and sleep efficiency. Associations largely replicated across ancestries and sexes, and accelerometry-derived measures were concordant with self-reported sleep properties. Limitations include the use of accelerometer-based sleep measurement and the time lag between psychiatric diagnoses and accelerometry. Conclusions In this study, we observed that sleep pattern differences are a transdiagnostic feature of individuals with lifetime mental illness, suggesting that they should be considered regardless of diagnosis. Accelerometry provides a scalable way to objectively measure sleep properties in psychiatric clinical research and practice, even across tens of thousands of individuals.

scholarly journals Development and Validation of a Novel Dementia Risk Score in the UK Biobank Cohort

2021 ◽  
Author(s):  
Melis Anatürk ◽  
Raihaan Patel ◽  
Georgios Georgiopoulos ◽  
Danielle Newby ◽  
Anya Topiwala ◽  
...  
Keyword(s):  
At Risk ◽  
Cardiovascular Risk ◽  
Risk Score ◽  
Disease Risk ◽  
Risk Index ◽  
Risk Scores ◽  
Uk Biobank ◽  
Dementia Risk ◽  
History Of ◽  
The Uk

INTRODUCTION: Current prognostic models of dementia have had limited success in consistently identifying at-risk individuals. We aimed to develop and validate a novel dementia risk score (DRS) using the UK Biobank cohort.METHODS: After randomly dividing the sample into a training (n=166,487, 80%) and test set (n=41,621, 20%), logistic LASSO regression and standard logistic regression were used to develop the UKB-DRS.RESULTS: The score consisted of age, sex, education, apolipoprotein E4 genotype, a history of diabetes, stroke, and depression, and a family history of dementia. The UKB-DRS had good-to-strong discrimination accuracy in the UKB hold-out sample (AUC [95%CI]=0.79 [0.77, 0.82]) and in an external dataset (Whitehall II cohort, AUC [95%CI]=0.83 [0.79,0.87]). The UKB-DRS also significantly outperformed four published risk scores (i.e., Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI), Cardiovascular Risk Factors, Aging, and Dementia score (CAIDE), Dementia Risk Score (DRS), and the Framingham Cardiovascular Risk Score (FRS) across both test sets.CONCLUSION: The UKB-DRS represents a novel easy-to-use tool that could be used for routine care or targeted selection of at-risk individuals into clinical trials.

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