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The longitudinal Study of Cognitive Change in Normal Healthy Old Age (LSCC) is a population study including 6,342 healthy residence of Greater Manchester and Newcastle-upon-Tyne aged from 42 to 92 in 1983. Two different batteries of cognitive tests were alternately administered biennially with additional questionnaires and Dna sample collection until 2003. The aims of the study were to:

to determine sources of variations in rates of cognitive change between individuals
to identify factors that slow or accelerate cognitive ageing and that prolong mental productivity or accelerate decline
to generate and test functional models for the processes of biological ageing, especially of ageing of the brain and the central nervous system
to test whether the neurophysiological and consequent cognitive changes differ in idiosyncratic patterns between individuals

The Maastricht Aging Study (MAAS) was designed to specify the usual and pathological aging of cognitive function. MAAS is devoted to the age-related decline of memory and other cognitive functions in normal people and the factors that may be involved in this process. What determines a decline in memory function? Why do some individuals show a greater decline than others? Over the past years, a host of factors, including biological, medical, psychological and social variables, have been proposed to have an impact on adult cognitive development. MAAS tries to study these factors in an integrative way. This can be achieved only by studying large numbers of normal healthy adults of all ages and by monitoring them for several years.

The Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) is a large-scale, public health study involving a representative sample of men and women aged 50 years and over living in Northern Ireland.

The primary objective of NICOLA is to collect longitudinal multidisciplinary data across a wide range of domains to be used for investigation and research relevant to ageing and making Northern Ireland a better place to grow old in.

NICOLA collects extensive information on all aspects of health, social and economic circumstances of ~8500 men and women as they grow older in Northern Ireland over a series of data collection waves approximately every 2-3 years.

Longer term research goals will investigate the determinants of retirement behaviour and economic wellbeing, the impact of cognitive function and sensory disability on decision making, the determinants of disability trajectories, the influence of social participation on these and the interaction of genetic, biological and psychosocial determinants on health and mortality.

There has been one sweep of data collection (2013 2016) and a second is currently underway (2017 – )

The Northern Ireland Longitudinal Study (NILS) is a large-scale, representative data-linkage study created by linking data from the Northern Ireland Health Card Registration system to the 1981, 1991, 2001 and 2011 Census returns and to administrative data from other sources. These include vital events registered with the General Register Office for Northern Ireland (such as births, deaths and marriages) and the Health Card registration system migration events data. The result is a 30 year plus longitudinal data set which is regularly being updated. In addition to this rich resource there is also the potential to link further Heath and Social care data in our distinct linkage projects (DLPs).

Selection into the study is based on birth date (day and month): 104 dates throughout the year were selected and if an individuals date of birth coincided with one of these they were included in the sample. The sample is large – c. 28% of the Northern Ireland population (approximately 500,000 individuals and accounting for approximately 50% of households).

The Northern Ireland Mortality Study (NIMS) is a large-scale data linkage study that links the 1991, 2001 and 2011 Census returns for the whole of the enumerated population (approximately 1.6 million individuals) to subsequently registered mortality data from the General Register Office (GRO). While larger than NILS it is more limited in scope, focusing only on the linkage of mortality data. It allows researchers to focus on more detailed analyses of specific cause of death, some of which may not be possible in NILS because of small numbers in sub-populations and the analysis of less common causes of death (e.g. accidental death). The NIMS dataset is recommended to researchers whose primary interest is in mortality in Northern Ireland. These data are maintained under the same conditions as the NILS and is accessible only under the same constraints.

The Vallecas Project is developed in the Research Unit of the Alzheimer’s Center of the Reina Sofía Foundation by researchers of the CIEN Foundation. Its main objective is to determine a probabilistic algorithm for the identification of individuals at risk of dementia type Alzheimer’s disease (AD) in the course of a few years. This algorithm will be based on the combination of sociodemographic, clinical, neurological, neuropsychological, biological (from blood determinations) and neuroimaging (various 3 Tesla magnetic resonance modalities).

The recruitment phase of the Vallecas Project participants was extended from October 2011 to December 2013. Finally, a total of 1,213 volunteers aged between 70 and 85 and of both sexes were initially evaluated. Once included in the study, it is monitored annually for 5 years in order to assess the evolutionary profile of all participants, specifically identifying those who develop cognitive impairment and / or dementia. The cohort is being followed up annually for 4 years after the baseline.

The Health 2000 Survey, carried out in 2000-2001 in Finland, was coordinated by the National Institute for Health and Welfare, THL (the former National Public Health Institute) in co-operation with an extensive network of organizations and experts. The aim of the survey was to provide information on major public health problems, their causes and treatment, health service needs and utilization as well as functional and working capacity. The data for the survey were collected in comprehensive health examination including blood sampling, in interviews and in self-administered questionnaires. The nationally representative sample included 8,028 persons aged 30 or over of whom 85% participated in the health examination conducted at 80 areas in the mainland Finland. In addition, 1,894 young adults (18-29 years) were invited to the health interview and fill in the questionnaire. Further, 1,278 people who had taken part in Mini-Finland Health Survey carried out in 1978-1980 were invited to the re-examination.

The follow-up of the Health 2000 Survey, the Health 2011 Survey, was carried out in 2011-2012. All members of the Health 2000 sample (n=8,135), who were living in Finland in 2011 and had not refused requests to be invited to further studies, were invited to the Health 2011 Survey. In 2011, they were at least 29 years of age. A total of 59% of them participated in the health examination conducted at 59 areas in Finland. In addition, a new random sample of young adults (aged 18-28, n=1,994) was taken. A total of 415 of them were invited to the health examination and the rest of them (1,579) received only the postal questionnaire. Further, 920 people who had previously taken part in the Mini-Finland Health Survey and invited to re-examination in 2001 were invited.

The Health 2000/2011 cohort is also continuously followed-up by linkage to Finnish nationwide registers.

This project comprises of two complementary parts. One part is aimed at the development of innovative diagnostic techniques to detect molecular signatures of AD based on disturbances of amyloid metabolism and glutamate neurotransmission. In this part, the focus is on the two most promising diagnostic approaches in AD: (molecular) imaging techniques and molecular diagnostic tests of CSF. In the second part of this study, techniques for which proof-of-concept has been found in humans are applied in a large group of AD patients. These patients are recruited in an established network of 4 collaborating memory clinics in The Netherlands, which use a standardized diagnostic protocol and share an extensive common database. Furthermore, more mature molecular, structural, and functional imaging and molecular diagnostic CSF techniques as well as the conventional diagnostic work-up will be applied from the start of the study in patients from the same network of memory clinics.

LEILA75+ is a prospective population-based cohort study on the epidemiology of dementia and other neurodegenerative disorders. The main aims of the study included to determine a) the prevalence and incidence of dementia as well as subtypes of dementia, b) the prevalence and incidence of mild cognitive impairment (MCI) and c) the occurrence of other related conditions, such as subjective cognitive decline (SCD). Likewise, it was aimed at identifying risk factors and groups of high-risk-individuals for the development of dementia, MCI and SCD.

Overall, 1,692 individuals of at least 75 years of age (from private households as well as from institutions) were approached via random selection from the registry office of the city of Leipzig (response rate: 81%). Finally, the LEILA75+ cohort consisted of 1,265 individuals at baseline. Data collection took place at participants homes through structured interviews (incl. socio-demographic variables, a cognitive test battery/SIDAM, functional and psychosocial assessments, medical conditions). If participants were not able to complete assessments, proxy information was gathers from relatives. After baseline assessment in 1997/1998, 5 follow-up waves were conducted every 1.5 years. Additionally, a long-term follow-up was performed 15 years after baseline.

Further study details have been published in:
Riedel-Heller SG, Busse A, Aurich C, Matschinger H, Angermeyer MC. Prevalence of dementia according to DSM-III-R and ICD-10: results of the Leipzig Longitudinal Study of the Aged (LEILA75+) Part 1. British Journal of Psychiatry 2001; 179: 250-254.

Riedel-Heller SG, Busse A, Aurich C, Matschinger H, Angermeyer MC. Incidence of dementia according to DSM-III-R and ICD-10: results of the Leipzig Longitudinal Study of the Aged (LEILA75+), Part 2. British Journal of Psychiatry 2001; 179: 255-260.

Riedel-Heller S, G, Schork A, Matschinger H, Angermeyer M, C, Recruitment Procedures and Their Impact on the Prevalence of Dementia. Neuroepidemiology 2000;19:130-140.

The Lifelines Cohort Study is a large population-based cohort study and biobank that was established as a resource for research on complex interactions between environmental, phenotypic and genomic factors in the development of chronic diseases and healthy ageing. The Lifelines cohort distinguishes a children’s cohort (aged 0-18), an adult cohort (aged 18-65) and the elderly cohort (aged 65+). The protocol for these three sub-cohorts is largely the same, but focuses in part on the characteristics of the specific participant groups.

Between 2006 and 2013, inhabitants of the northern part of The Netherlands and their families were invited to participate, thereby contributing to a three-generation design. Follow-up visits are scheduled every 5 years, and in between participants receive follow-up questionnaires. Linkage is being established with medical registries and environmental data. Lifelines contains information on biochemistry, medical history, psychosocial characteristics, lifestyle and more. Genomic data are available including genome-wide genetic data of 15638 participants. Fasting blood and 24-h urine samples are processed on the day of collection and stored at -80 °C in a fully automated storage facility. The aim of Lifelines is to be a resource for the national and international scientific community. Requests for data and biomaterials can be submitted to the Lifelines Research Office ([email protected]).