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The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer’s disease

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Ellis, K.
Bush, A.
Darby, D.
de Fazio, D.
Foster, Jonathan
Hudson, P.
Lautenschlager, N.
Lenzo, N.
Martins, R.
Maruff, P.
Masters, C.
Milner, A.
Pike, K.
Rowe, C.
Savage, G.
Szoeke, C.
Taddei, K.
Villemagne, V.
Woodward, M.
Ames, D.
Acosta, O.
Ames, J.
Agarwal, M.
Bahar-Fuchs, A.
Baxendale, D.
Bechta-Metti, K.
Bevage, C.
Bevege, L.
Bourgeat, P.
Brown, B.
Bush, A.
Clarnette, R.
Cowie, T.
Crowley, K.
Currie, A.
El- Sheikh, D.
Ellis, K.
Dickinson, K.
Farrow, M.
Faux, N.
Fripp, J.
Fowler, C.
Gupta, V.
Jones, G.
Khoo, J.
Killedar, A.
Killeen, N.
Kim, T.W.
Kotsopoulos, E.
Lachovitzki, R.
Lautenschlager, N.
Li, Q.
Liang, X.
Lucas, K.
Lui, J.
Martins, G.
Martins, R.
Montague, C.
Moore, L.
Muir, A.
O’Halloran, C.
O’Keefe, G.
Panayiotou, A.
Paton, A.
Paton, J.
Peiffer, J.
Pejoska, S.
Pertile, K.
Porter, L.
Price, R.
Raniga, P.
Rees, G.
Rembach, A.
Rimajova, M.
Robins, P.
Ronsisvalle, E.
Rumble, R.
Rodrigues, M.
Salvado, O.
Sach, J.
Samuel, M.
Sittironnarit, G.
Taddei, T.
Trivedi, D.
Trounson, B.
Tsikkos, M.
Walker, S.
Ward, V.
Yastrubetskaya, O.
Date
2009
Type
Journal Article

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Ellis, K. and Bush, A. and Darby, D. and de Fazio, D. and Foster, J. and Hudson, P. and Lautenschlager, N. et al. 2009. The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer’s disease. International Psychogeriatrics. 21 (4): pp. 672-687.
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International Psychogeriatrics
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Abstract

Background: The Australian Imaging, Biomarkers and Lifestyle (AIBL) flagship study of aging aimed to recruit 1000 individuals aged over 60 to assist with prospective research into Alzheimer's disease (AD). This paper describes the recruitment of the cohort and gives information about the study methodology, baseline demography, diagnoses, medical comorbidities, medication use, and cognitive function of the participants. Methods: Volunteers underwent a screening interview, had comprehensive cognitive testing, gave 80 ml of blood, and completed health and lifestyle questionnaires. One quarter of the sample also underwent amyloid PET brain imaging with Pittsburgh compound B (PiB PET) and MRI brain imaging, and a subgroup of 10% had ActiGraph activity monitoring and body composition scanning. Results: A total of 1166 volunteers were recruited, 54 of whom were excluded from further study due to comorbid disorders which could affect cognition or because of withdrawal of consent. Participants with AD (211) had neuropsychological profiles which were consistent with AD, and were more impaired than participants with mild cognitive impairment (133) or healthy controls (768), who performed within expected norms for age on neuropsychological testing. PiB PET scans were performed on 287 participants, 100 had DEXA scans and 91 participated in ActiGraph monitoring. Conclusion: The participants comprising the AIBL cohort represent a group of highly motivated and well-characterized individuals who represent a unique resource for the study of AD. They will be reassessed at 18-month intervals in order to determine the predictive utility of various biomarkers, cognitive parameters and lifestyle factors as indicators of AD, and as predictors of future cognitive decline.