Berlin Aging Study II (BASE-II)

Some individuals maintain their health and preserve their cognitive abilities into advanced ages, whereas others show precipitous and early decline. To understand the mechanisms that produce this diversity of outcomes, we need to follow the trajectories of aging individuals over time.

BASE-II logo

With this goal in mind, researchers from Berlin and Tübingen initiated the Berlin Aging Study II (Demuth et al., 2019). Like BASE, BASE-II was set up as a multidisciplinary and multi-institutional longitudinal study that captures a wide range of different functional domains. Geriatrics and internal medicine as well as immunology, psychology, genetics, sociology, and economics are among the disciplines involved. The study received financial support from the Federal Ministry of Education and Research.

The recruitment of the BASE-II cohort, which was completed in 2014, resulted in a consolidated baseline sample of 1,600 older adults aged 60 to 80 years and of 600 younger adults aged 20 to 35 years (Bertram et al., 2014). Data from this baseline sample can be linked to the German Socio-Economic Panel Study (SOEP), a longitudinal panel survey that is representative of the German population, to estimate sample selectivity.

Meanwhile BASE-II is in its third wave of data collection. The current wave is closely associated with the GendAge project and aims to better understand the influence of gender on mechanisms of pathogenesis (i.e., the development of illness).

Data Collection at the Center for Lifespan Psychology

Elderly man's hands on a keyboard

It is one of the Center's goals to comprehensively assess the age-related changes in cognition, experience, and behavior and to examine the influence of medical, genetic, and socio-economic factors on these changes. To do this, we invite our participants back every year to measure various cognitive abilities in group computer sessions. These involve tests of working memory, memorization tasks, reaction speed tests, and so on.

Using questionnaires, we also assess various psychosocial constructs to do with personalilty, experiencing stress, well-being, or future time perspectives. In the current wave, our partipants also wear an actigraph for a week to link individual sleep and activity profiles with cognitive performance.

Steering Committee

  • Denis Gerstorf (Speaker), Humboldt-Universität zu Berlin & German Institute for Economic Research
  • Lars Bertram, Universitätsklinikum Schleswig-Holstein, Lübeck
  • Ulman Lindenberger, Max Planck Institute for Human Development
  • Graham Pawelec, Universität Tübingen
  • Elisabeth Steinhagen-Thiessen, Charité – Universitätsmedizin Berlin
  • Gert G. Wagner, Max Planck Institute for Human Development
Lifebrain

Lifebrain

The Berlin Aging Studies BASE and BASE-II are participating in this EU-funded project together with the Formal Methods project. It integrates data from 6000 participants in 11 European neuroimaging studies carried out in 7 countries. more

Selected Publications

Click here for the complete BASE-II publication list.

Nyberg, L., Magnussen, F., Lundquist, A., Baare, W., Bartés-Faz, D., Bertram, L., Boraxbekk, C. J., Brandmaier, A. M., Drevon, C. A., Ebmeier, K., Ghisletta, P., Henson, R. N., Junqué, C., Kievit, R., Kleemeyer, M., Knights, E., Kühn, S., Lindenberger, U., Penninx, B. W. J. H., Pudas, S., Sørensen, Ø., Vaqué-Alcázar, L., Walhovd, K. B., & Fjell, A. M. (2021). Educational attainment does not influence brain aging. Proceedings of the National Academy of Sciences of the United States of America, 118(18), Article e2101644118. https://doi.org/10.1073/pnas.2101644118
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Bender, A. R., Brandmaier, A. M., Düzel, S., Keresztes, A., Pasternak, O., Lindenberger, U., & Kühn, S. (2020). Hippocampal subfields and limbic white matter jointly predict learning rate in older adults. Cerebral Cortex, 30(4), 2465–2477. https://doi.org/10.1093/cercor/bhz252
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Demuth, I., Bertram, L., Drewelies, J., Düzel, S., Lill, C. M., Lindenberger, U., Pawelec, G., Spira, D., Wagner, G. G., & Gerstorf, D. (2019). Berlin Aging Study II (BASE-II). In D. Gu & M. E. Dupre (Eds.), Encyclopedia of gerontology and population aging (Living ed.). Springer. https://doi.org/10.1007/978-3-319-69892-2_27-1
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Düzel, S., Buchmann, N., Drewelies, J., Gerstorf, D., Lindenberger, U., Steinhagen-Thiessen, E., Norman, K., & Demuth, I. (2018). Validation of a single factor representing the indicators of metabolic syndrome as a continuous measure of metabolic load and its association with health and cognitive function. PLoS ONE, 13(12), Article e0208231. https://doi.org/10.1371/journal.pone.0208231
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Düzel, S., Drewelies, J., Gerstorf, D., Demuth, I., Kühn, S., & Lindenberger, U. (2018). Facets of subjective health horizons are differentially linked to brain volume. GeroPsych, 31(3), 127–136. https://doi.org/10.1024/1662-9647/a000191
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