Cognitive ageing and dementia: The Whitehall II Study

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Cognitive ageing and dementia: The Whitehall II Study Archana SINGH-MANOUX NIH: R01AG013196; R01AG034454; R01AG056477 MRC: K013351, MR/R024227 BHF: RG/13/2/30098 H2020: #643576 #633666

Outline Lifecourse approach: relevance for cognitive age & dementia Cognitive ageing: our results Dementia: our approach & recent results Separate risk from bias (midlife risk) Reverse causation

Why the lifecourse approach? Increasing life expectancy, increase in numbers living with dementia 47 million in 2015, 131 million in the year 2050 1year delay in dementia onset will lead to 9.2 million fewer cases by 2050 Failure rate of drugs 100% Failure of multi-domain trials (Multidomain Alzheimer Preventive Trial, MAPT)

Why the lifecourse approach? Considerable investment in imaging studies (MRI, CSF), etc. but correlation between brain structure and function far from perfect Nelson et al., J Neuropathol Exp Neurol 2009

Major studies on ageing start data collection at age 65 Study Country Start N Age Iceland Birth Cohort Study Iceland 1957 3704 61-64 Gothenburg Study Sweden 1971 1148 70 PAQUID France 1987 3777 65+ Kungsholmen Project Sweden 1987 1810 75+ Rotterdam Netherlands 1990 7983 55+ Cognitive Function & Ageing Study (CFAS) UK 1991 13004 65+ Etude du Vieillissement Artériel (EVA) France 1991 1389 60-70 Italian Longitudinal Study on Aging (ILSA) Italy 1992 5632 65-84 Longitudinal Aging Study Amsterdam (LASA) Netherlands 1992 3017 55-85 Maastricht Aging Study (MAAS) Netherlands 1992 2043 24-81 Longitudinal Study of Aging Danish Twins Denmark 1995 2401 75+ The German Aging Survey Germany 1996 5000 40-85 In Chianti Study Italy 1998 1453 20-102 3-City Study France 1999 9294 65+ The Swedish National study of Aging & Care Sweden 2001 3089 60+ Newcastle 85+ Study UK 2006 1042 85+ UK Biobank UK 2006/2010 500,000 40-69 CONSTANCES France 2012/2018 200,000 45-69 Visiting Committee HCERES 12-13 February 2018 NAKO Germany 2014/2019 200,000 20-69 5

Cognitive function over the lifecourse

Cognitive function over the lifecourse: WHY? PLASTICITY! enhance reserve Delay decline Modify rate of decline Identify (unbiased) risk factors Function 20 years 65 years Disability Dementia

The Whitehall study: unique data to study ageing outcomes DATA COLLECTION 2018/20 8

Our approach: cognitive ageing and dementia Genetic factors Environment Socioeconomic Psychosocial Health behaviours Cardiovascular Metabolic Inflammatory Heterogeneity in cognitive decline DEMENTIA Mortality continuum from function to pathology

No cognitive decline before age 60? Results from the Seattle Longitudinal Study Hedden et al. Nat Rev Neurosci. 2004

No cognitive decline before age 60? Results from the Seattle Longitudinal Study Results from the Whitehall II Study Hedden et al. Nat Rev Neurosci. 2004 Singh-Manoux et al. BMJ 2012 baseline MEN WOMEN N=5198 N=2192 45-49 yrs 1113 413 50-54 yrs 1578 582 55-59 yrs 1083 497 60-64 yrs 1049 515 65-70 yrs 375 185

Smoking history and cognitive decline 0-0.1-0.2-0.3-0.4-0.5-0.6 Sabia, Singh-Manoux. JAMA Psychiatry 2012-0.7 Mixed model - Current smokers Joint models - Current smokers

Cardiovascular risk & cognitive ageing Framingham risk scores & decline in global cognitive score Kaffashian, Singh-Manoux. Eur Heart J 2011 Kaffashian, Singh-Manoux. Neurology 2013 Kaffashian, Singh-Manoux. Alzheimers Dement 2013

Cardiovascular risk & cognitive ageing Framingham risk scores & decline in global cognitive score Atrial fibrillation & cognitive decline Kaffashian, Singh-Manoux. Eur Heart J 2011 Singh-Manoux et al., Eur Heart J 2017 Kaffashian, Singh-Manoux. Neurology 2013 Kaffashian, Singh-Manoux. Alzheimers Dement 2013

Our approach to research on dementia

The Whitehall Study Dementia: our approach & recent results Separate risk from bias (midlife risk) Reverse causation EHR data for dementia are good enough!

BMI and dementia year of dementia diagnosis Singh-Manoux et al., Alzheimers Dement. 2018

BMI and dementia HR (95%CI) BMI (Kg/m 2 ) at 50 years < 18.5 0.51 (0.07-3.63) 18.5-24.9 1.00 25-29.9 1.18 (0.91-1.52) 30 1.93 (1.35-2.75) BMI (Kg/m 2 ) at 60 years < 18.5 NA 18.5-24.9 1 25-29.9 1.02 (0.77-1.36) 30 1.31 (0.89-1.92) BMI (Kg/m 2 ) at 70 years < 18.5 1.89 (0.46-7.81) 18.5-24.9 1.00 25-29.9 0.61 (0.43-0.87) 30 0.87 (0.56-1.34) year of dementia diagnosis Singh-Manoux et al., Alzheimers Dement. 2018

Hypertension & dementia Hypertension: systolic blood pressure threshold 50 years 60 years 70 years Abell, Singh-Manoux, Eur Heart J. 2018

Hypertension & dementia: effet of age Analysis adjusted for age, sex, education, ethnicity, marital status, occupational position, health behavours, BMI, diabetes, cardiovascular disease (coronary heart disease, stroke). Abell, Singh-Manoux, Eur Heart J. 2018

Hypertension & dementia: role of CVD Hypertension @ 50 years HR=1.39 95% CI: 1.27, 1.53 Cardiovascular disease HR=1.40 95% CI: 0.95, 2.08 Analysis adjusted for age, sex, education, ethnicity, marital status, occupational position, health behavours, BMI, diabetes, cardiovascular disease (coronary heart disease, stroke). HR=1.43 95% CI: 1.07, 1.90 Incident Dementia Abell, Singh-Manoux, Eur Heart J. 2018

Reverse causation Physical activity Meta-analysis of observational studies suggest an association Blondelet al. BMC Public Health 2014 Intervention studies: null findings Sink et al. JAMA 2015 Andrieu et al. Lancet Neurol 2017 Depressive symptoms Meta-analysis of observational studies suggest an association Ownby et al. Arch Gen Psychiatry. 2006 For both exposures, evidence of stronger associations in studies with a short follow-up

Physical activity Meta-analysis of observational studies suggest an association Blondelet al. BMC Public Health 2014 Intervention studies: null findings Sink et al. JAMA 2015 Andrieu et al. Lancet Neurol 2017 Depressive symptoms Meta-analysis of observational studies suggest an association Ownby et al. Arch Gen Psychiatry. 2006 For both exposures, evidence of stronger associations in studies with a short follow-up

Trajectories of total physical activity (hours/week) prior to dementia Total physical activity(hours/week) 8 9 10 11 12 13 14 15 P for difference in trajectories: <0.0001-28 -26-24 -22-20 -18-16 -14-12 -10-8 -6-4 -2 0 Years prior to dementia diagnosis Years Dementia free (N=9979) Dementia cases (N=329) -28 to -24-24 to -20 Number of observations in the analysis -20 to -16-16 to -12-12 to -8-8 to -4-4 to 0 10893 7856 6958 2456 5237 6937 6756 256 298 195 163 168 137 118 Sabia, Singh-Manoux BMJ 2017

Trajectories of physical activity prior to dementia Total physical activity Diff in trajectory, p<0.0001 Mild physical activity Diff in trajectory, p<0.0001 Moderate & vigorous physical activity Diff in trajectory, p=0.001 Total physical activity(hours/week) 8 9 10 11 12 13 14 15-28 -26-24 -22-20 -18-16 -14-12 -10-8 -6-4 -2 0 Years prior to dementia diagnosis Mild physical activity(hours/week) 6 7 8 9 10 11 12-28 -26-24 -22-20 -18-16 -14-12 -10-8 -6-4 -2 0 Years prior to dementia diagnosis MVPA(hours/week) 1 2 3 4 5-28 -26-24 -22-20 -18-16 -14-12 -10-8 -6-4 -2 0 Years prior to dementia diagnosis Mixed models adjusted for 5y birth cohort, age at time 0, sex, ethnicity, education, dementia, time, time², time 3, their interactions with time, time², time 3, time-dependent covariates socio-economic and behavioural variables Sabia, Singh-Manoux BMJ 2017

Trajectories of depressive syndromes prior to dementia Singh-Manoux et al. JAMA Psychiatry 2017

Conclusions Risk factors for dementia Which ones? Age of exposure (timing & duration) Threshold of risk Prevention Failure of drug trials How do risk factors work together? When does prevention begin? the vascular system is a phenomenal target because we have in our brains about 400 miles of blood vessels and these have to do their primary job of bringing food and oxygen to the brain and taking toxins out of the brain. Zlokovic, JAMA 2017

Thank you! 28