scholarly journals Consumption of Red Meat Is Negatively Associated with Cognitive Function: A Cross-Sectional Analysis of UK Biobank

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1510-1510
Author(s):  
Huifeng Zhang ◽  
Janet Cade ◽  
Laura Hadie
Keyword(s):  
Cognitive Function ◽  
Prospective Memory ◽  
Red Meat ◽  
Uk Biobank ◽  
Cross Sectional ◽  
Meat Intake ◽  
Visual Spatial ◽  
Additional Portion ◽  
The Uk ◽  
Sectional Analysis

Abstract Objectives In the largest study of its type, we tested for associations between red meat consumption and cognitive function using data from half a million participants enrolled into the UK Biobank cohort study. Methods Baseline data was obtained from the UK Biobank cohort, comprising half a million participants aged 37–73 years recruited between 2006 and 2010. The intake of red meat (frequency per week) was obtained using a self-reported food frequency questionnaire. Cognitive tests included the reaction-time (RT) test (reaction ability, N = 496, 695), fluid intelligence (FI) (reasoning ability, N = 165,467), the numeric memory test (short-term memory, N = 50,364), the pairs-matching (PM) test (visual-spatial memory, N = 482,650) and the prospective memory test (N = 171,509). Logistic and linear regression modelling was conducted with adjustment for potential confounders including age at recruitment, sex, ethnicity, Townsend deprivation index, smoking, alcohol, education, body mass index, physical activity level, sleeping hours, stroke history, and family history of dementia. Results Each additional portion per week of red-meat intake was associated with slower reaction time by 0.26 milliseconds (95% CI: 0.02, 0.50), lower FI score by 0.01 points (−0.02, −0.00), reduced numeric memory by 0.02 digits (−0.03, −0.01), and increased odds of incorrect prospective memory by 1% (0%, 2%). In men these associations were larger regarding the RT test (β = 0.54, [0.21, 0.87]), FI score (β = −0.02, [−0.03, −0.01]), and prospective memory (OR = 1.03, [1.01, 1.04]), while in women these were not significant. In terms of the PM test, a single additional portion of red-meat intake was associated with reduced incorrect matches by 0.004 pairs (−0.003, −0.006), both in men (β = −0.003, [−0.001, −0.005]) and women (β = −0.006, [−0.004, −0.008]). Conclusions In this cross-sectional analysis of the adult UK population, higher intake of red meat was associated with poorer cognitive function including reaction and reasoning ability, short-term and prospective memory especially among men; but not visual-spatial memory which showed a weak protective effect of red meat. Funding Sources The joint scholarship of University of Leeds and China Scholarship Council.

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 Social engagement after stroke – is it relevant to cognitive function? A cross-sectional analysis of UK Biobank data

2019 ◽  
Vol 1 ◽  
pp. 3
Author(s):  
Bogna A. Drozdowska ◽  
Carlos A. Celis-Morales ◽  
Donald M. Lyall ◽  
Terence J. Quinn
Keyword(s):  
Cognitive Function ◽  
Prospective Memory ◽  
Social Engagement ◽  
Visual Memory ◽  
Reaction Times ◽  
Stroke Survivors ◽  
Uk Biobank ◽  
Cross Sectional ◽  
Numerical Reasoning ◽  
Health Lifestyle

Background: Findings from studies in older adult populations suggest that measures of social engagement may be associated with health outcomes, including cognitive function. Plausibly the magnitude and direction of this association may differ in stroke.  The disabling nature of stroke increases the likelihood of social isolation and stroke survivors are at high risk of cognitive decline. We assessed the association between social engagement and cognitive function in a sample of stroke survivors. Methods: We included available data from stroke survivors in the UK Biobank (N=8776; age range: 40-72; 57.4% male). In a series of regression models, we assessed cross-sectional associations between proxies of social engagement (frequency of family/friend visits, satisfaction with relationships, loneliness, opportunities to confide in someone, participation in social activities) and performance on domain specific cognitive tasks: reaction time, verbal-numerical reasoning, visual memory and prospective memory. We adjusted for demographics, health-, lifestyle-, and stroke-related factors. Accounting for multiple testing, we set our significance threshold at p<0.003. Results: After adjusting for covariates, we found independent associations between faster reaction times and monthly family visits as compared to no visit (standardised beta=-0.32, 95% CI: -0.51 to -0.13, p=0.001, N=4,930); slower reaction times and religious group participation (standardised beta=0.25, 95% CI 0.13 to 0.38, p<0.001, N=4,938); and poorer performance on both verbal-numerical reasoning and prospective memory tasks with loneliness (standardised beta=-0.19, 95% CI: -0.29 to -0.08, p<0.001, N=2,074; odds ratio=0.66, 95% CI: 0.52 to 0.84, p=0.001, N=2,188; respectively). In models where all proxies of social engagement were combined, no associations remained significant. Conclusions: We found limited task-specific associations between cognitive performance and proxies of social engagement, with only loneliness related to two tasks. Further studies are necessary to confirm and improve our understanding of these relationships and investigate the potential to target psychosocial factors to support cognitive function in stroke survivors.

scholarly journals Meat consumption and risk of 25 common conditions: outcome-wide analyses in 475,000 men and women in the UK Biobank study

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Keren Papier ◽  
Georgina K. Fensom ◽  
Anika Knuppel ◽  
Paul N. Appleby ◽  
Tammy Y. N. Tong ◽  
...  
Keyword(s):  
Diverticular Disease ◽  
Meat Consumption ◽  
Red Meat ◽  
Poultry Meat ◽  
Mortality Data ◽  
Processed Meat ◽  
Colon Polyps ◽  
Uk Biobank ◽  
Meat Intake ◽  
The Uk

Abstract Background There is limited prospective evidence on the association between meat consumption and many common, non-cancerous health outcomes. We examined associations of meat intake with risk of 25 common conditions (other than cancer). Methods We used data from 474,985 middle-aged adults recruited into the UK Biobank study between 2006 and 2010 and followed up until 2017 (mean follow-up 8.0 years) with available information on meat intake at baseline (collected via touchscreen questionnaire), and linked hospital admissions and mortality data. For a large sub-sample (~ 69,000), dietary intakes were re-measured three or more times using an online, 24-h recall questionnaire. Results On average, participants who reported consuming meat regularly (three or more times per week) had more adverse health behaviours and characteristics than participants who consumed meat less regularly, and most of the positive associations observed for meat consumption and health risks were substantially attenuated after adjustment for body mass index (BMI). In multi-variable adjusted (including BMI) Cox regression models corrected for multiple testing, higher consumption of unprocessed red and processed meat combined was associated with higher risks of ischaemic heart disease (hazard ratio (HRs) per 70 g/day higher intake 1.15, 95% confidence intervals (CIs) 1.07–1.23), pneumonia (1.31, 1.18–1.44), diverticular disease (1.19, 1.11–1.28), colon polyps (1.10, 1.06–1.15), and diabetes (1.30, 1.20–1.42); results were similar for unprocessed red meat and processed meat intakes separately. Higher consumption of unprocessed red meat alone was associated with a lower risk of iron deficiency anaemia (IDA: HR per 50 g/day higher intake 0.80, 95% CIs 0.72–0.90). Higher poultry meat intake was associated with higher risks of gastro-oesophageal reflux disease (HR per 30 g/day higher intake 1.17, 95% CIs 1.09–1.26), gastritis and duodenitis (1.12, 1.05–1.18), diverticular disease (1.10, 1.04–1.17), gallbladder disease (1.11, 1.04–1.19), and diabetes (1.14, 1.07–1.21), and a lower IDA risk (0.83, 0.76–0.90). Conclusions Higher unprocessed red meat, processed meat, and poultry meat consumption was associated with higher risks of several common conditions; higher BMI accounted for a substantial proportion of these increased risks suggesting that residual confounding or mediation by adiposity might account for some of these remaining associations. Higher unprocessed red meat and poultry meat consumption was associated with lower IDA risk.

scholarly journals Social engagement after stroke – is it relevant to cognitive function? A cross-sectional analysis of UK Biobank data

2019 ◽  
Vol 1 ◽  
pp. 3
Author(s):  
Bogna A. Drozdowska ◽  
Carlos A. Celis-Morales ◽  
Donald M. Lyall ◽  
Terence J. Quinn
Keyword(s):  
Cognitive Function ◽  
Prospective Memory ◽  
Social Engagement ◽  
Visual Memory ◽  
Reaction Times ◽  
Stroke Survivors ◽  
Uk Biobank ◽  
Cross Sectional ◽  
Numerical Reasoning ◽  
Health Lifestyle

Background: Findings from studies in older adult populations suggest that measures of social engagement may be associated with health outcomes, including cognitive function. Plausibly the magnitude and direction of this association may differ in stroke.  The disabling nature of stroke increases the likelihood of social isolation and stroke survivors are at high risk of cognitive decline. We assessed the association between social engagement and cognitive function in a sample of stroke survivors. Methods: We included available data from stroke survivors in the UK Biobank (N=8776; age range: 40-72; 57.4% male). In a series of regression models, we assessed cross-sectional associations between proxies of social engagement (frequency of family/friend visits, satisfaction with relationships, loneliness, opportunities to confide in someone, participation in social activities) and performance on domain specific cognitive tasks: reaction time, verbal-numerical reasoning, visual memory and prospective memory. We adjusted for demographics, health-, lifestyle-, and stroke-related factors. Accounting for multiple testing, we set our significance threshold at p<0.003. Results: After adjusting for covariates, we found independent associations between faster reaction times and monthly family visits as compared to no visit (standardised beta=-0.32, 99.7% CI: -0.61 to -0.03, N=4,930); slower reaction times and religious group participation (standardised beta=0.25, 99.7% CI 0.07 to 0.44, N=4,938); and poorer performance on both verbal-numerical reasoning and prospective memory tasks with loneliness (standardised beta=-0.19, 99.7% CI: -0.34 to -0.03, N=2,074; odds ratio=0.66, 99.7% CI: 0.46 to 0.94, N=2,188; respectively). In models where all proxies of social engagement were combined, no associations remained significant. Conclusions: We found limited task-specific associations between cognitive performance and proxies of social engagement, with only loneliness related to two tasks. Further studies are necessary to confirm and improve our understanding of these relationships and investigate the potential to target psychosocial factors to support cognitive function in stroke survivors.

scholarly journals Associations Between Sedentary Behaviors and Cognitive Function: Cross-Sectional and Prospective Findings From the UK Biobank

2017 ◽  
Vol 187 (3) ◽  
pp. 441-454 ◽  
Author(s):  
Kishan Bakrania ◽  
Charlotte L Edwardson ◽  
Kamlesh Khunti ◽  
Stephan Bandelow ◽  
Melanie J Davies ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Uk Biobank ◽  
Sedentary Behaviors ◽  
Cross Sectional ◽  
The Uk

scholarly journals Is glycaemia associated with poorer brain health and risk of dementia? Cross sectional and follow-up analysis of the UK Biobank

2020 ◽  
Author(s):  
Victoria Garfield ◽  
Aliki-Eleni Farmaki ◽  
Sophie V. Eastwood ◽  
Rohini Mathur ◽  
Christopher T. Rentsch ◽  
...  
Keyword(s):  
Cognitive Function ◽  
White Matter ◽  
Cognitive Decline ◽  
Visual Memory ◽  
White Matter Hyperintensities ◽  
Undiagnosed Diabetes ◽  
Uk Biobank ◽  
Brain Health ◽  
Cross Sectional ◽  
The Uk

ABSTRACTObjectiveTo understand the relationship across the glycaemic spectrum with incident dementia, brain structure, and cognitive decline.Research Design and Methods: UK Biobank participants, aged 40-69 at recruitment. HbA1c and diabetes diagnosis define baseline glycaemic categories. Outcomes included incident vascular dementia (VD), Alzheimer’s dementia (AD), hippocampal volume (HV), white matter hyperintensity (WMH) volume, cognitive function and decline. All results are in reference to normoglycaemic individuals (HbA1c 35-<42 mmol/mol).Results210433 (47%), 15246 (3%), 3280 (0.7%), 20793 (5%) individuals had low HbA1c, pre-diabetes, undiagnosed diabetes, and known diabetes, respectively. Pre- and known diabetes markedly increased incident VD, (hazard ratios (HR) 1.51, 95%CI=1.01;2.25 and 1.96, 95%CI=1.49;2.58, respectively), less so AD (1.18, 0.92;1.52 and 1.13 0.95,1.33), adjusting for demographic and socioeconomic variables. For VD, multivariate adjustment, driven by antihypertensives, attenuated associations, HR 1.27, 0.84;1.91 and 1.45,1.07;1.97. Pre- and known diabetes conferred elevated risks of cognitive decline (odds ratio OR 1.53, 1.02;2.29 and 1.49, 1.02;2.18, respectively). People with pre-diabetes, undiagnosed and known diabetes had higher WMH volumes (4%, 30%, 3%, respectively), and lower HV (34.51 mm3, 11.73 mm3 and 61.13 mm3 respectively). People with low-normal HbA1c (<35 mmol/mol) had 5% lower WMH volume and 13.6 mm3 greater HV than normoglycaemic individuals.ConclusionsPre and known diabetes increase VD risks, less so AD. Excess VD risks were largely accounted for by treated hypertension. Hyperglycaemic states were associated with adverse, whereas low normal HbA1c was associated with favourable brain structure compared to normoglycaemic individuals. Our findings have implications for cardiovascular medication in hyperglycaemia for brain health.Type-2 diabetes and, more generally, hyperglycaemic states, have been associated with poorer cognitive function (such as learning and memory)(1), increased risk of dementia(2) and alterations in key brain structures, particularly the hippocampus(3). In contrast, recent evidence from a randomised crossover trial also suggests that, in people with diabetes, even modest hypoglycaemia has a detrimental effect on cognitive function(4). Thus, it is also important to explore how low levels of glycated haemoglobin (HbA1c) relate to these outcomes. A previous paper explored the cross sectional association between baseline diabetes and two cognition measures in the UK Biobank (reaction time and visual memory)(5). The authors found that diabetes was associated with poorer scores on the reaction time test, but paradoxically, better scores on the visual memory test. They did not explore other outcomes or lesser glycaemic states.Memory loss is the most conclusively reported adverse effect of hyperglycaemia on cognitive function(6). Hippocampal atrophy is a crucial feature of age-related memory loss and the hippocampus is particularly vulnerable to the neurotoxic consequences of diabetes(7). Evidence relating diabetes to the presence and progression of white matter hyperintensities is equivocal(8), but some research suggests that those with diabetes have greater volumes of white matter hyperintensities(9,10). Although there have been numerous studies in this area, the role of glycaemia in brain health across the entire glycaemic spectrum remains unclear, in particular no studies have investigated how lesser hyperglycaemic states relate to these outcomes, as most studies have focused on diagnosed diabetes only.Thus, the aim of this study was to investigate the associations between five glycaemic states across the entire spectrum (low HbA1c, normoglycaemia, pre-diabetes, undiagnosed diabetes and known diabetes) and Alzheimer’s dementia (AD) risk, vascular dementia (VD) risk, baseline cognitive function and cognitive decline, hippocampal volume, and white matter hyperintensities volume in the UK Biobank. We hypothesised that there would be a U-shaped association between glycaemia and our outcomes of interest, such that those with lower and higher HbA1c would have worse outcomes than those with normal glycaemic levels.

Sign in / Sign up

Export Citation Format

Share Document