Factors associated with dropout in the longitudinal Vogel study of cognitive decline

Dementia, including Alzheimer's Disease (AD), is a growing problem worldwide. Prevention or early detection of the disease or a prodromal cognitive decline is necessary. By means of our long-term follow-up "Vogel Study", we aim to predict the pathological cognitive decline of a German cohort (mean age was 73.9 ± 1.55 years at first visit) with three measurement time points within 6 years per participant. Especially in samples of the elderly and subjects with chronic or comorbid diseases, dropouts are one of the biggest problems of long-term studies. In contrast to the large number of research articles conducted on the course of dementia, little research has been done on the completion of treatment. To ensure unbiased and reliable predictors of cognitive decline from study completers, our objective was to determine predictors of dropout. We conducted multivariate analyses of (co-)variance (MANCOVAs) and multinomial logistic regression analyses to compare and predict the subject's dropout behavior at the second visit 3 years after baseline (full participation, partial participation, no participation/dropout) with neuropsychiatric, cognitive, blood, and lifestyle variables. Lower performance in declarative memory, attention, and visual-spatial processing predicted dropout rather than full participation. Lower performance in visual-spatial processing predicted partial participation as opposed to full participation. Furthermore, lower performance in Mini-Mental Status Examination (MMSE) predicted whether subjects dropped out or participated partially instead of full participation. Baseline cognitive parameters are associated with dropouts at follow-up with a loss of impaired participants. We expect a bias into a healthier sample over time.