As part of the ADFICE_IT project, we harmonized six European cohort studies that were conducted in older adults. The final dataset contains data for a total of 23880 individuals and includes variables related to:
– Risk factors and predictors for falls, including medication use;
– Genetic biomarkers;
– Chronic conditions;
– Emotional, cognitive, and physical functioning;
– Lifestyle factors; and
– Sociodemographic characteristics.
We refer to the codebook for a complete overview of all variables:
The cohorts included in the dataset are: the Longitudinal Aging Study Amsterdam (LASA), the B-vitamins for the PRevention Of Osteoporotic Fractures (B-PROOF) study, the Activity and Function in the Elderly in Ulm study (ActiFE Ulm), the Irish Longitudinal Study on Ageing (TILDA), and the Rotterdam Study.
The harmonization algorithms have been documented in a harmonization guide:
The dataset contains cross-sectional data on falls for all six cohorts and prospective data on falls for three of the cohorts (LASA, B-Proof, and ActiFE Ulm). In the latter three cohorts, falls were measured on a weekly basis over a period of one to three years with the use of fall-calendars.
Data from the ADFICE_IT harmonized dataset are available for use for specific research questions on the basis of an approved research proposal. Please contact our data manager Bob van de Loo by email at email@example.com for a template of the analysis plan and more information on the dataset.