Cohort Acronym
CamCan
Cohort type
General population-based cohort
Disease
Subjective memory complaints (SMC) or subjective cognitive decline (SCD)
Participant type
No diagnosis
Profile
CamCan
Cohort type
General population-based cohort
Disease
Subjective memory complaints (SMC) or subjective cognitive decline (SCD)
Participant type
No diagnosis
Profile
Recruitment Period
2010
Sample size at start or planned sample size if still recruiting
3000
Estimated Current Sample Size
0 to 4,999
Age at Recruitment
>18
Gender
Male and Female
Abstract
The aim of the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) project is to identify the neural mechanisms underpinning successful cognitive ageing. The study recruitment participants over 18 from resident within Cambridge City and used epidemiological, behavioural, and neuroimaging data to understand how individuals can best retain cognitive abilities into old age. A major aim of the research programme is to understand the nature of brain-cognition relationships across the lifespan, and to highlight the importance of abilities that are maintained into old age.
This population study was not designed to have repeated measures for each participant, but rather as one extended and comprehensive study visit that took place over 3 stages.
Country
United Kingdom
Contact details
Institution name
University of Cambridge
Website
http://www.cam-can.com
Principal Investiator (PI)
Professor Lorraine Tyler
Contact email
[email protected]
Contact phone number
Tel: +44 (0) 1223766457
Address
Professor Lorraine Tyler
Professor of Cognitive Neuroscience,
Department of Psychology,
University of Cambridge,
Cambridge
CB2 3EB,
UK
Professor of Cognitive Neuroscience,
Department of Psychology,
University of Cambridge,
Cambridge
CB2 3EB,
UK
Funders (Core support)
BBSRC
Variables Collected
Brain related measures: N/A
Funtional rating: Individual psychological
Anthropometric: Height, Weight
Physical: Cardiovascular, Hearing and Vision
Biological samples: Saliva
Genotyping: N/A
Brain imaging: Magnetic resonance imaging (MRI), Magnetoencephalography (MEG)
Brain banking: N/A
Lifestyle: Alcohol, Dietary habits, Physical activity, Smoking
Socio-economic: Education, Ethnic group, Family circumstances, Housing and accommodation, Income and finances, Informal support, Marital status, Occupation and employment, Unpaid care
Health service utilisation: N/A