Human aging is characterized by large differences between and within older adults. Numerous factors are known to contribute to these differences, including genetic and immunological, somatic and medical, cognitive and behavioral, psychosocial and experiential, as well as socioeconomic and geospatial conditions. Continuing and expanding the scientific objectives of the Berlin Aging Study, the Berlin Aging Study II (BASE-II) seeks to comprehensively describe phenomena associated with aging and old age and to better understand the multiple different underlying factors and their interactions. To this end, BASE-II was established as a multi-institutional project combining and integrating interdisciplinary perspectives ranging from molecular genetics and immunology, geriatric medicine and psychology, to sociology and economics. In this Special Issue, we have compiled seven empirical analyses that feature examples of interdisciplinary insights that BASE-II provides by linking data across multiple levels of analyses at which human functioning and development occur in old age. Here, we provide an overview of the study, note commonalities between BASE-II and earlier studies, and highlight some of its unique qualities.

1.
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Meyer A, Salewsky B, Buchmann N, Steinhagen-Thiessen E, Demuth I: Relative leukocyte telomere length, hematological parameters and anemia - data from the Berlin Aging Study II (BASE-II). Gerontology 2016;62: 330-336.
8.
Lill CM, Liu T, Norman K, Meyer A, Steinhagen-Thiessen E, Demuth I, Bertram L: Genetic burden analyses of phenotypes relevant to aging in the Berlin Aging Study II (BASE-II). Gerontology 2016;62:316-322.
9.
Goldeck D, Oettinger L, Janssen N, Demuth I, Steinhagen-Thiessen E, Pawelec G: Cytomegalovirus infection minimally affects the frequencies of B-cell phenotypes in peripheral blood of younger and older adults. Gerontology 2016;62:323-329.
10.
Eibich P, Krekel C, Demuth I, Wagner GG: Associations between neighbourhood characteristics, well-being and health vary over the life course. Gerontology 2016;62:362-370.
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14.
Saßenroth D, Kroh M, Wagner GG: Selectivity Processes in and Weights for the Berlin Aging Study II (BASE-II). SOEPpapers on Multidisciplinary Panel Data Research. Berlin, German Socio-Economic Panel (SOEP), DIW, 2013 (608). www.diw.de/documents/publikationen/73/diw_01.c.432989.de/diw_sp0608.pdf.
15.
Eckstein N, Buchmann N, Demuth I, Steinhagen-Thiessen E, Nikolov J, Spira D, Eckardt R, Norman K: Association between metabolic syndrome and bone mineral density - data from the Berlin Aging Study II (BASE-II). Gerontology 2016;62:337-344.
16.
Düzel S, Voelkle MC, Düzel E, Gerstorf D, Drewelies J, Steinhagen-Thiessen E, Demuth I, Lindenberger U: The Subjective Health Horizon Questionnaire (SHH-Q): assessing future time perspectives for facets of an active lifestyle. Gerontology 2016;62:345-353.
17.
Hülür G, Drewelies J, Eibich P, Düzel S, Demuth I, Ghisletta P, Steinhagen-Thiessen E, Wagner GG, Lindenberger U, Gerstorf D: Cohort differences in psychosocial function over 20 years: current older adults feel less lonely and less dependent on external circumstances. Gerontology 2016;62:354-361.
18.
Gerstorf D, Hülür G, Drewelies J, Eibich P, Düzel S, Demuth I, Ghisletta P, Steinhagen-Thiessen E, Wagner GG, Lindenberger U: Secular changes in late-life cognition and well-being: towards a long bright future with a short brisk ending? Psychol Aging 2015;30:301-310.
19.
Lindenberger U: Human cognitive aging: corriger la fortune? Science 2014;346:572-578.
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