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

Kathryn A. Ellis, Ashley I. Bush, David Darby, Daniela De Fazio, Jonathan Foster, Peter Hudson, Nicola T. Lautenschlager, Nat Lenzo, Ralph N. Martins, Paul Maruff, Colin Masters, Andrew Milner, Kerryn Pike, Christopher Rowe, Greg Savage, Cassandra Szoeke, Kevin Taddei, Victor Villemagne, Michael Woodward, David AmesOscar Acosta, Jennifer Ames, Manoj Agarwal, Alex Bahar-Fuchs, David Baxendale, Kiara Bechta-Metti, Carlita Bevage, Lindsay Bevege, Pierrick Bourgeat, Belinda Brown, Ashley Bush, Roger Clarnette, Tiffany Cowie, Kathleen Crowley, Andrew Currie, Denise El-Sheikh, Kathryn Ellis, Kerryn Dickinson, Maree Farrow, Noel Faux, Jurgen Fripp, Christopher Fowler, Veer Gupta, Gareth Jones, Jane Khoo, Asawari Killedar, Neil Killeen, Wan Kim Tae, Eleftheria Kotsopoulos, Rebecca Lachovitzki, Nicola Lautenschlager, Qiao Xin Li, Xiao Liang, Kathleen Lucas, James Lui, Georgia Martins, Claire Montague, Lynette Moore, Audrey Muir, Christopher O'Halloran, Graeme O'Keefe, Anita Panayiotou, Athena Paton, Jacqui Paton, Jeremiah Peiffer, Svetlana Pejoska, Kelly Pertile, Lorien Porter, Roger Price, Parnesh Raniga, Glenn Rees, Alan Rembach, Miroslava Rimajova, Peter Robins, Elizabeth Ronsisvalle, Rebecca Rumble, Mark Rodrigues, Olivier Salvado, Jack Sach, Mathew Samuel, Gobhathai Sittironnarit, Tania Taddei, Darshan Trivedi, Brett Trounson, Marinos Tsikkos, Stacey Walker, Vanessa Ward, Olga Yastrubetskaya

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    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.

    Original languageEnglish
    Pages (from-to)672-687
    Number of pages16
    JournalInternational Psychogeriatrics
    Issue number4
    Publication statusPublished - 2009

    Bibliographical note

    Copyright 2009 International Psychogeriatric Association. Published by Cambridge University Press. Article originally published in International Psychogeriatrics, Vol. 21 No. 4, pp 672-687. The original article can be found at


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