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

Dementia, including Alzheimer's disease, 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 a...

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Veröffentlicht in:The European journal of neuroscience 2022-11, Vol.56 (9), p.5587-5600
Hauptverfasser: Haberstumpf, Sophia, Leinweber, Jonas, Lauer, Martin, Polak, Thomas, Deckert, Jürgen, Herrmann, Martin J.
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container_end_page 5600
container_issue 9
container_start_page 5587
container_title The European journal of neuroscience
container_volume 56
creator Haberstumpf, Sophia
Leinweber, Jonas
Lauer, Martin
Polak, Thomas
Deckert, Jürgen
Herrmann, Martin J.
description Dementia, including Alzheimer's disease, 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 co‐morbid 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 covariance and multinomial logistic regression analyses to compare and predict the subject's dropout behaviour at the second visit 3 years after baseline (full participation, partial participation and 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 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. Longitudinal dropout behaviour in the elderly. This study describes the predictive value of cognitive performance and dementia screenings in longitudinal dropout behaviour (dropout, partial participation instead of full participation). Declines in declarative memory, attention, visual–spatial processing and the mini‐mental‐status examination increase the probability of study dropout 3 years after baseline and lead to a healthier, and therefore possibly biased sample.
doi_str_mv 10.1111/ejn.15446
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subjects Aged
Alzheimer Disease - diagnosis
Alzheimer Disease - pathology
Alzheimer's disease
Attention
Cognitive ability
cognitive decline
Cognitive Dysfunction - diagnosis
Cohort Studies
Dementia
Dementia disorders
Disease Progression
dropout
elderly
Humans
Information processing
Longitudinal Studies
Memory
mild cognitive impairment (MCI)
Neurodegenerative diseases
Neuropsychological Tests
Participation
prediction
Spatial memory
Visual perception
title Factors associated with dropout in the longitudinal Vogel study of cognitive decline
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