COSMIC:
Cohort Studies of Memory in an International Consortium —Combining data from population-based longitudinal cohorts studies to identify common risk factors for dementia and cognitive decline.
New members: We encourage suitable cohort studies to join COSMIC, particularly those from under-represented regions or populations. Please see the membership criteria and contact information below.
Data use: Qualified researchers from anywhere in the world can apply to use COSMIC data via Dementias Platform Australia (DPAU).
About COSMIC
Ageing is intricately connected with cognitive decline, and there is an increasing proportion of life lived with cognitive impairment as the lifespan increases. If an impact is to be made on this disability burden, we must understand the risk and protective factors for cognitive decline, frailty and chronic disease associated with ageing. The best approach is to study this using population-based ageing cohorts. A large number of such studies are ongoing internationally, and have identified a diverse range of factors, but there is considerable inconsistency in the results produced and the existing evidence needs further systematic examination. This also relates to the evidence for vascular risk factors as risk factors for Alzheimer’s Disease (AD). While many publications have previously argued for this, a recent review concluded that “at the present time, there is no consistent body of evidence to show that vascular risk factors increase AD pathology”.
Researchers of brain ageing from around the world come together in the COSMIC collaboration to determine what factors are common for cognitive decline and dementia in all human populations irrespective of race, ethnicity and socioeconomic development.
CHeBA Consortia
We argue that the way to deal with inconsistencies in the literature is to harmonise international studies so that data can be pooled and risk factors examined with greatly increased power. Accordingly, COSMIC (Cohort Studies of Memory in an International Consortium) has so far brought together 60 cohort studies of cognitive ageing from 38 countries across 6 continents, with a combined sample size of almost 186,000 individuals. The aim of the collaboration is to facilitate a better understanding of the determinants of cognitive ageing and neurocognitive disorders. This is being achieved by:
- Harmonising shared, non-identifiable data from cohort studies that longitudinally examine change in cognitive function and the development of dementia in older individuals (60+ years).
- Performing joint or mega-analyses using combined, harmonised data sets that yield collated results with enhanced statistical power, in addition to comparisons across diverse ethno-regional groups.
We believe COSMIC to be a unique endeavor, as other consortia with similar or related aims do not have the same level of international scope, or have a focus such as genomic epidemiology: CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) and ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis).
NIH Grant Helps Support COSMIC to Late 2028
In August 2023, Professor Perminder Sachdev, Co-Director of CHeBA and head of COSMIC, was awarded US$7.27 million over 5 years from the National Institute on Aging (NIA) of the National Institutes of Health (NIH), USA. This is in addition to a previous grant of US$2,57 million granted by the NIH in September 2017. The grants awarded allow further work in identifying risk and protective factors and biomarkers of cognitive ageing and dementia.
Investigators on the current grant include Professor Louisa Jorm, director of the UNSW Centre for Big Data Research in Health and CHeBA Co-Director Professor Henry Brodaty, as well as leading researchers from the USA (Professors Mary Ganguli, Richard Lipton), France (Dr. Maeleen Guerchet), Peru (Professor Jaime Miranda), India (Dr. Murali Krishna), UK (Professor Sarah Bauermeister) & Sweden (Professor Henrik Zetterberg).
- Research Scientific Committee
- Member studies
- Publications
- Projects
- Apply for data
- COSMIC partners
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The COSMIC Research Scientific Committee (RSC) is comprised of one leading researcher from each of the contributing studies:
Study RSC member
Additional study leader
AGELESS Maw Pin Tan
10/66 Cuba (Cuban Health and Alzheimer Study)
Juan J. Llibre-Rodriguez
10/66 Dominican Republic
Daisy Acosta
10/66 Mexico
Ana Luisa Sosa
10/66 Peru
Mariella Guerra Arteaga
10/66 Puerto Rico
Ivonne Z. Jimenez-Velazquez
10/66 Venezuela
Aquiles Salas
Atma Jaya Cognitive & Aging Research (ACtive Aging Research)
Yuda Turana
The Atahualpa Project
Oscar H. Del Brutto
Bambui Cohort Study of Aging
Erico Costa
Boston Puerto Rican Health Study
Sabrina Noel
Bagher Larijani Iraj Nabipour
Canadian Study of Health & Aging (CSHA)
Kenneth Rockwood
Chinese Longitudinal Aging Study (CLAS)
Xiao Shifu
Cognitive Function and Ageing Studies (CFAS)
Carol Brayne
Einstein Aging Study (EAS)
Richard Lipton
Mindy J Katz
Epidemiology of Dementia in Central Africa (EPIDEMCA)
Maëlenn Guerchet
Pierre-Marie Preux
EpiFloripa Aging Study
Eleonora d’Orsi
Etude Santé Psychologique Prévalence Risques et Traitement (ESPRIT)
Karen Ritchie
Marie-Laure Ancelin
Faroese Septuagenarian Cohort
Maria Skaalum Petersen
Framingham Heart Study (FHS)
Rhoda Au
Gothenburg H70 Birth Cohort Studies
Ingmar Skoog
Hellenic Longitudinal Investigation of Aging and Diet (HELIAD)
Nikolaos Scarmeas
Hisayama Study
Toshiharu Ninimiya
Hong Kong Memory and Ageing Prospective Study (HK-MAPS)
Linda Lam
Ibadan Study of Ageing (ISA)
Oye Gureje
Identification and Intervention for Dementia in Elderly Africans (IDEA) Study
Stella-Maria Paddick
Richard Walker
I-Lan Longitudinal Aging Study (ILAS)
Liang-Kung Chen
IMIAS (International Mobility in Aging Study)
Mohammad Auais
Ricardo Oliveira Guerra
Indianapolis Ibadan Dementia Project
Hugh Hendrie
Invecchiamento Cerebrale in Abbiategrasso (Invece.Ab)
Elena Rolandi
The Irish Longitudinal Study on Ageing (TILDA)
Ann Hever
Rose Anne Kenny
KLOSCAD (Korean Longitudinal Study on Cognitive Aging and Dementia)
Ki-Woong Kim
Kurihara Project
Kenichi Meguro
Leiden 85-plus study
Jacobijn Gussekloo
Leipzig Longitudinal Study of the Aged (LEILA75+)
Steffi Riedel-Heller
LRGS TUA: Neuroprotective Model for Healthy Longevity among Malaysian Older Adults
Suzana Shahar
Maastricht Aging Study (MAAS)
Sebastian Koehler
Kay Deckers
Marikina Memory and Aging Project (MMAP)
Jacqueline Dominguez
Monongahela-Youghiogheny Healthy Aging Team (MYHAT)
Mary Ganguli
MYNAH (MYsore studies of Natal effects on Ageing and Health)
Murali Krishna
Neuroepidemiology of cognitive impairment in adults from marginal urban areas: a door-to-door population study in the Puente Piedra district, Lima, Perú
Nilton Custodio
Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA)
Bernadette McGuinness
Frank Kee
Personality & Total Health (PATH) Through Life project
Kaarin Anstey
Puerto Rican Elderly: Health Conditions Study (PREHCO)
Michael Crowe
Sacramento Area Latino Study on Aging (SALSA)
Allison Aiello
Sasaguri Genkimon Study
Kenji Narazaki
Shanghai Aging Study (SAS)
Ding Ding
Singapore Longitudinal Ageing Studies (SLAS I & II)
Roger Ho
São Paulo Ageing & Health Study (SPAH)
Marcia Scazufca
Sydney Memory & Ageing Study (MAS)
Henry Brodaty
Perminder Sachdev
Taiwan Initiative for Geriatric Epidemiological Research (TIGER)
Yen-Ching Chen
Jen-Hau Chen
Tajiri Project
Kenichi Meguro
Ugandan study
Vincent Mubangizi
Vallecas Project
Pascual Sanchez-Juan
Washington Heights Inwood and Columbia Aging Project (WHICAP)
Richard Mayeux
Nicole Schupf
Whitehall II
Mika Kivimaki
ZARADEMP Project
Antonio Lobo
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- Perminder Sachdev: Scientia Professor of Neuropsychiatry; Co-Director, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney; Director, Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia;
- Richard Lipton: Edwin S. Lowe Professor and Vice Chair of Neurology, Albert Einstein College of Medicine;
- Henry Brodaty: Scientia Professor of Ageing & Mental Health; Co-Director, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney; Director, Dementia Collaborative Research Centre (DCRC); Senior Consultant, Old Age Psychiatry, Prince of Wales Hospital;
- Louisa Jorm: Director, Centre for Big Data Research in Health and Professor, Faculty of Medicine, UNSW Sydney, Australia;
- Maëlenn Guerchet: Senior Researcher, Institut de Recherche pour le Developpement, France
- Sarah Bauermeister: Associate Professor of Cognitive Neuropsychology, Department of Psychiatry, University of Oxford; Senior Scientist and Senior Data Manager, Dementias Platform UK (DPUK)
- Henrik Zetterberg: Professor of Neurochemistry & Department Head, Psychiatry and Neurochemistry, University of Gothenburg, Sweden;
- Ester Cerin: Professor & Program Leader, Behaviour, Environment and Cognition Research Program, Australian Catholic University Limited, Australia;
- Jaime Miranda: Research Professor at the Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Peru;
- Mary Ganguli: Professor of Psychiatry, Neurology, and Epidemiology, University of Pittsburgh, USA;
- Murali Krishna: Senior Research Fellow, Centre for Mental Health and Society, University of Bangor, India;
- Wei Wen: Associate Professor, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Australia;
- Vibeke Catts: Postdoctoral Fellow, Research Manager, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Australia;
- Mindy Katz: Senior Associate, The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, USA;
- John Crawford: Senior Research Officer, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Australia;
- Nicole Kochan: Senior Research Fellow, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Australia;
- Louise Mewton: Associate Professor and Program Lead in Lifespan and Brain Health Research at the Matilda Centre, University of Sydney, Australia;
- Thomas Karikari: Assistant Professor of Psychiatry, University of Pittsburgh, USA;
- Anbupalam Thalamuthu, Senior Research Fellow, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Australia;
- Karen Mather, Senior Research Fellow, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Australia.
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- Atma Jaya Cognitive & Aging Research (ACtive Aging Research)
- Chinese Longitudinal Aging Study (CLAS)
- Hisayama Study
- Hong Kong Memory and Ageing Prospective Study (HK-MAPS)
- I-Lan Longitudinal Aging Study (ILAS)
- Korean Longitudinal Study on Cognitive Aging and Dementia (KLOSCAD)
- Kurihara Project
- LRGS TUA: Neuroprotective Model for Healthy Longevity among Malaysian Older Adults
- Marikina Memory and Aging Project (MMAP)
- MYNAH (MYsore studies of Natal effects on Ageing and Health)
- Sasaguri Genkimon Study (SGS)
- Shanghai Aging Study
- Singapore Longitudinal Ageing Studies (SLAS I & II)
- Taiwan Initiative for Geriatric Epidemiological Research (TIGER)
- Tajiri Project
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- Cognitive Function & Ageing Studies (CFAS)
- Etude Santé Psychologique Prévalence Risques et Traitement (ESPRIT)
- Faroese Septuagenarians Cohort
- Gothenburg H70 Birth Cohort Studies (H70)
- Hellenic Longitudinal Investigation of Aging and Diet (HELIAD)
- Invecchiamento Cerebrale in Abbiategrasso (Invece.Ab)
- Leiden 85-plus Study
- Leipzig Longitudinal Study of the Aged (LEILA75+)
- Maastricht Ageing Study (MAAS)
- Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA)
- The Irish Longitudinal Study on Ageing (TILDA)
- Vallecas Project
- ZARADEMP Project (ZARAgoza DEMentia DEPression Project)
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- The Boston Puerto Rican Health Study
- Canadian Study of Health and Aging (CSHA)
- Einstein Aging Study (EAS)
- Framingham Heart Study Brain Aging Program (FHS-BAP)
- Monongahela-Youghiogheny Healthy Aging Team (MYHAT)
- Sacramento Area Latino Study on Aging (SALSA)
- Washington Heights Inwood and Columbia Aging Project (WHICAP)
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- 10/66 Cuba (Cuban Health and Alzheimer Study
- 10/66 Dominican Republic
- 10/66 Mexico
- 10/66 Peru
- 10/66 Puerto Rico
- 10/66 Venezuela
- The Atahualpa Project
- Bambui Cohort Study of Aging (BCSA)
- EpiFloripa Aging Study
- Neuroepidemiology of cognitive impairment in adults from marginal urban areas: a door-to-door population study in the Puente Piedra district, Lima, Perú
- Puerto Rican Elderly: Health Conditions study (PREHCO)
- São Paulo Ageing & Health Study (SPAH)
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- Mayo Clinic Study of Aging (MCSA)
COSMIC Publications
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Project aim Lead Affiliation Associations of cardiovascular-kidney-metabolic syndrome with cognitive decline and dementia X Xu Zhejiang University Association of type 2 diabetes and prediabetes with post-stroke cognitive decline J Lo CHeBA UNSW Associations of olfactory function and snoring with cognition and dementia R Shi National Taiwan University Education, educational complexity, socioeconomic status and incident dementia A Matison CHeBA UNSW Clinical and sociodemographic pathways linking hearing loss and dementia R Chander CHeBA UNSW Alcohol, cognition, and mortality L Mewton UNSW, Sydney Antihypertensives, blood pressure, and dementia risk M Lennon UNSW, Sydney Social support and depressive symptoms S Samtani UNSW, Sydney Sleep, MCI, and dementia S Wan Suh Seoul National University Nutrition & cognitive health C Anastasiou Harokopio University, Athens Risk models for prediction of dementia in LMICs E Pakpahan Northumbria University, UK Maximizing dementia risk reduction K Deckers Maastricht University Global burden of dementia L Mewton UNSW, Sydney Diet and depression A Matison UNSW, Sydney Cognitive decline before and after stroke J Lo UNSW, Sydney Heart and brain health: AI assisted dementia risk models B Stephan Curtin University, Australia Sex-specific risks for MCI and dementia C Wang Albert Einstein College of Medicine, New York Cardiometabolic multimorbidity, depression, and dementia X Xu Zhejiang University, Hangzhou Social health and cognitive health trajectories L Braas Radboud University, The Netherlands Nightmares, cognitive decline and dementia D Lipnicki UNSW, Sydney ENIGMA group harmonization of cognitive domain scores E Dennis University of Utah Neuropsychiatric symptoms and dementia risk DJ Oh Kangbuk Samsung Hospital, Seoul Cerebrovascular burden in vascular cognitive impairment N Husein UNSW, Sydney Polygenic risk scores and dementia K Mather UNSW, Sydney A Thalamuthu Predicting dementia risk in LMICs with machine learning J Jiang UNSW, Sydney Climate factors and dementia risk D Ding Fudan University, Shanghai Illiteracy, gender, and dementia risk DJ Oh Kangbuk Samsung Hospital, Seoul Physical activity, traumatic brain injury, and cognitive outcomes B Tari University of Oxford, UK -
Project aim Lead Affiliation Grip strength and cognition YH Su National Taiwan University Olfactory function, sleep quality and cognitive impairment RQR Shi National Taiwan University Pet ownership, social health and cognition S Samtani UNSW, Sydney
COSMIC welcomes research proposals from member studies, and from outside investigators wishing to utilise the wealth and diversity of data held by the COSMIC cohorts. All proposals will be reviewed by the COSMIC Scientific Steering Committee, and should be submitted via the Dementias Platform Australia website using the link below:
Please note that COSMIC member studies are not committed to providing data for all projects and elect to participate on a project-by-project basis. It is a requirement that any publication using a study’s data involve consultation with the study leader and include them and other members as co-authors.
Also note that proposals from outside investigators require sponsorship by a lead investigator of a COSMIC member study. Details of the member studies and contact details of the lead investigators can be found on this website, and it may be appropriate to seek sponsorship from the leader of a study that has investigated similar issues or holds particularly relevant data.
For any enquiries, contact Darren Lipnicki. d.lipnicki@unsw.edu
Dementias Platform UK (DPUK) and Dementias Platform Australia (DPAU)
Dementias Platform UK (DPUK; https://www.dementiasplatform.uk/) offers researchers dementia-optimised cohort data from more than 50 population and clinical cohort studies, comprising records for over 3.5 million people. In partnership with DPUK, CHeBA has launched Dementias Platform Australia (DPAU; http://www.dementiasplatform.com.au/). DPAU will complement DPUK and other satellite dementias platforms, and allow access to research data from multiple dementia studies carried out in Australia, the Asia-Pacific region and beyond to all six continents. The close partnership between DPUK and DPAU enables a sharing of technical assets and best practice, and will facilitate international data analysis. COSMIC studies will be the first to upload data to DPAU in 2022.
Institute for Health Metrics and Evaluation (IHME) at the University of Washington
Coordinated through the Institute for Health Metrics and Evaluation (IHME) at the University of Washington, the Global Burden of Disease (GBD; https://www.healthdata.org/gbd/2019) study provides consistent and comparative descriptions of the major causes of mortality and morbidity for over 350 diseases and injuries. GBD estimates are regularly updated to ensure the most complete and highly comparable set of estimates possible. In partnership with the IHME, COSMIC studies are providing data to inform global dementia estimates. This includes data from countries previously under-represented in GBD estimates (e.g., Cuba, Tanzania and Malaysia). By providing new data COSMIC will help to produce more accurate estimations of the global burden of disease associated with dementia.
Davos Alzheimer’s Collaborative (DAC)
The Davos Alzheimer’s Collaborative (DAC; https://www.davosalzheimerscollaborative.org/) is “uniting leading organizations worldwide to build an innovation ecosystem that will accelerate breakthroughs, develop and scale promising solutions and equip every healthcare system to end Alzheimer's disease everywhere.” Through its Global Cohort Development program (https://www.davosalzheimerscollaborative.org/cohorts), DAC is building global cohorts to advance understanding of Alzheimer’s disease among diverse populations. COSMIC cohorts from regions including the Philippines, Malaysia and Singapore are among the first participants in this program, and are receiving resources from DAC to obtain new digital phenotyping and blood-based genetic and biomarker data. These data will be made available via the Alzheimer’s Disease Data Initiative (ADDI) platform (https://www.alzheimersdata.org/) as well as DPAU.
COSMIC Membership Criteria
Studies are eligible to participate in COSMIC if they meet the following membership criteria:
- Are epidemiological, and therefore population-based.
- Have a minimum sample size of 500.
- Examine individuals aged 60 years and over.
- Are longitudinal, with a minimum of two assessments.
- Include assessment of cognitive function as an important, if not central, objective.
- The outcome measures include dementia and/or cognitive impairment and/or cognitive decline.
- Studies from Africa, South America and Eastern Europe are particularly encouraged to join.
Sydney Cosmic team
Contact
Dr Darren Lipnicki: d.lipnicki@unsw.edu.au
Research Fellow, CHeBA (Centre for Healthy Brain Ageing), UNSW Medicine
Naja Fragante: n.fragante@unsw.edu.au
COSMIC Project Officer, CHeBA (Centre for Healthy Brain Ageing), UNSW Medicine.