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The Kungsholmen Project is a longitudinal population-based study on ageing and dementia, carried out by the Stockholm Gerontology Research Center in collaboration with Aging Research Center (ARC), Karolinska Institutet.

The project, which started in 1987, has gathered a 12-year long database and offers information on aging from a multidisciplinary perspective. All persons that were born before 1913 and lived in the Kungsholmen district of Stockholm, were invited to participate (a total of 2368 persons on October 1st, 1987, including both community-dwelling and institutionalized persons). Later, the research additionally included all 90+ old subjects living in the St. Göran parish, an adjacent geographical area. The baseline phase and four follow-ups have been completed, with the last phase concluding in the summer of 2000. Time 1 was the only measurement occasion when a two-phase study design was adopted, with an extensive clinical examination performed after a screening phase. At every other occasion, all participants were interviewed by nurses, clinically examined by physicians, and assessed by psychologists.

The original study (1969-73) had five main objectives: (i) to study the relationship of birth weight (BW) and gestational age (GA) to infant mortality and the incidence of congenital defects; (ii) to study maternal blood pressure before and during pregnancy and the incidence of toxaemia; (iii) to assess the effects of parental consanguinity on reproductive outcomes; (iv) to examine the impact of family planning programmes on fertility and (v) to estimate rates of foetal loss, and neonatal, infant and early childhood mortality.1 The subsequent follow-up studies focused on the effects of prenatal factors BW and GA on physical growth and development and mortality during childhood and adolescence.

For the follow-up in young adulthood (1998-2002), the main objective was to study glucose tolerance, insulin resistance and insulin secretion and a range of cardiovascular risk factors (body composition, blood pressure and plasma lipid concentrations) in relation to parental size, neonatal size and childhood growth.

UK Biobank is a major national health resource, and a registered charity in its own right, with the aim of improving the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses – including cancer, heart diseases, stroke, diabetes, arthritis, osteoporosis, eye disorders, depression and forms of dementia.

500,000 people aged between 40-69 years were recruited in 2006-2010 from across the country to take part in this project. They have undergone measures, provided blood, urine and saliva samples for future analysis, detailed information about themselves and agreed to have their health followed. The cohort is primarily followed through data linkage but the cohort was re-contacted in 2012-13 with a further 100,000 to be approached over the next few years.

The health of the agricultural population has been previously explored, particularly in relation to the farming exposures and among professionally active individuals. However, few studies specifically focused on health and aging among elders retired from agriculture. Yet, this population faces the long-term effects of occupational exposures and multiple difficulties related to living and aging in rural area (limited access to shops, services, and practitioners). However, these difficulties may be counter-balanced by advantages related to healthier lifestyle, richer social support and better living environment. The general aim of the AMI cohort was to study health and aging in elderly farmers living in rural area through a multidisciplinary approach, with a main focus on dementia.

The study started in 2007, with two follow-up visits over 5 years. Baseline visits were conducted at home by a neuropsychologist then by a geriatrician for all cases suspected of dementia, for all subjects suspected of being demented. The 10-year visit is currently on going.

The British Women’s Heart and Health Study is a prospective cohort study of heart disease in over 4000 British women between the ages of 60 and 79. It is funded by the British Heart Foundation. The Study aims to provide information about existing patterns of treatment of heart disease, and further the understanding of risk factors and disease prevention. We collected our baseline data in 1999-2001, and have been tracking the cohort since. Participants have been re-contacted through questionnaires or assessment in 2003, 2007 & 2010.

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.

The Canberra Longitudinal Study is a 12 year study into the health and memory of older people which commenced in 1990, with subsequent waves in 1994, 1998 and 2002. The 2002 wave was the last time that participants were approached for interviews – the youngest participant in 2002 was 82 years of age.

The Costa Rican Longevity and Healthy Aging Study (CRELES) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005. Baseline household interviews were conducted between November 2004 and September 2006, with 2-year follow-up interviews.

The main study objective was to determine the length and quality of life, and its contributing factors in the elderly of Costa Rica.
CRELES uses public data files containing information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviours, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood and overnight urine. Mortality events are tracked and conditions surrounding death are measured in a surviving family interview (longitudinal follow-up data are not yet publicly available).

This is a feasibility study which has a Longitudinal Cohort design, following up participants at selected time points over a 1 year duration. The study will recruit 2 distinct groups: (1) patients with symptoms of cognitive impairment, and (2) study partners who are cognitively normal. The patients recruited to group 1 will have been recently referred to a Memory Assessment Service by their GP with suspected Mild Cognitive Impairment (MCI) & mild dementia. All patients referred to a Memory Assessment Service for this reason will be potentially eligible for inclusion in the study. Close friends or family members involved in looking after the cognitively impaired participants will also be asked to participate as study partners to attempt to measure the impact that looking after a partner, friend or family member with memory problems can have on a carer’s Quality of Life and other variables such as financial burden. Both cognitively impaired participants and their study partners will be given the option of additionally participating in two sub-studies:

– Mobile data collection: Using a web/mobile app to collect self-reported data on a more regular basis from home

– Wearable device: Using a wearable device that looks like a watch to collect information on activity and sleep

For the Esprit study, 1863 non-institutionalized persons aged 65 years and over were randomly recruited in 1999 from the Montpellier district electoral rolls, and re-examined 6-times at 2-3 yearly intervals. Objectives:

1) To determine current and lifetime prevalence as well as incidence of psychiatric disorder in the elderly;
2) to determine the risk factors for these disorders, their relative weight and interactions;
3) to study clinical heterogeneity;
4) to estimate the probability of transition towards a subsyndromic state or a given pathology;
5) to elaborate predictive etiological models.