The Alzbiomarker database organizes decades of data on fluid biomarkers for Alzheimer’s disease. Biomarker measurements are curated from published studies and meta-analyzed. Version 1.0 through 2.1 contains studies comparing measurements in Alzheimer’s disease to cognitively healthy individuals and studies comparing progressive MCI to stable MCI. Version 3.0 includes comparisons of biomarker levels in non-AD neurological conditions to Alzheimer’s disease. The data can be downloaded by requesting data from contacting alzbiomarker@alzforum.org
View ResourceChina Health and Retirement Longitudinal Study (CHARLS)
April 22, 2023
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Ray
The China Health and Retirement Longitudinal Study (CHARLS) aims to collect a high quality nationally representative sample of Chinese residents ages 45 and older to serve the needs of scientific research on the elderly. The baseline national wave of CHARLS is being fielded in 2011 and includes about 10,000 households and 17,500 individuals in 150 counties/districts and 450 villages/resident committees. The individuals will be followed up every two years. CHARLS adopts multistage stratified PPS sampling. As an innovation of CHARLS, a software package (CHARLS-Gis) is being created to make village sampling frames.
CHARLS is based on the Health and Retirement Study (HRS) and related aging surveys such as the English Longitudinal Study of Aging (ELSA) and the Survey of Health, Aging and Retirement in Europe (SHARE). The pilot survey of CHARLS was conducted in two provinces (Gansu and Zhejiang) in 2008 and collected data from 48 communities/villages in 16 counties/districts, covering 2,685 individuals living in 1,570 households. The response rate of the pilot survey was 85%.
The CHARLS questionnaire includes the following modules: demographics, family structure/transfer, health status and functioning, biomarkers, health care and insurance, work, retirement and pension, income and consumption, assets (individual and household), and community level information.
CHARLS has received critical support from Peking University, the National Natural Science Foundation of China, the Behavioral and Social Research Division of the NIA and the World Bank.
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Critical Path For Alzheimer’s Disease (CPAD)
August 22, 2023
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Ray
The Critical Path For Alzheimer’s Disease (CPAD) is a de-identified database directed by Critical Path Institute. The database collects patient-level data from 12811 patients across 36 clinical trials of AD and MCI. It contains demographic information, APOE4 genotype, concomitant medications, and cognitive scales, such as MMSE and ADAS-Cog. It also provides limited treatment-arm data and limited AD biomarker data including biofluid, tau or amyloid positron emission tomography (PET), EEG data. All data in this database have been remapped to the CDISC SDTM v3.1.2 data standard.
This database is open to CPAD members, as well as to external qualified researchers who submit, and are approved for, a request for access.
View ResourceDiverse and Generative ML benchmark (DIGEN)
March 5, 2023
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Ray
A modern machine learning benchmark, which includes: 40 datasets in tabular numeric format specially designed to differentiate the performance of some of the leading Machine Learning (ML) methods, and a package to perform reproducible benchmarking that simplifies comparison of performance of the methods. DIGEN provides comprehensive information on the datasets, including: ground truth – a mathematical formula presenting how the target was generated for each of the datasets, the results of exploratory analysis, which includes feature correlation and histogram showing how binary endpoint was calculated, multiple statistics on the datasets, including the AUROC, AUPRC and F1 scores, each dataset comes with Receiver-Operating Characteristics (ROC) and Precision-Recall (PRC) charts for tuned ML methods, and a boxplot with projected performance of the leading methods after hyper-parameter tuning (100 runs of each method started with different random seed), Apart from providing a collection of datasets and tuned ML methods, DIGEN provides tools to easily tune and optimize parameters of any novel ML method, as well as visualize its performance in comparison with the leading ones. DIGEN also offers tools for reproducibility.
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English Longitudinal Study of Ageing (ELSA)
April 22, 2023
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Ray
The English Longitudinal Study of Ageing (ELSA) is a longitudinal study of aged adults in England. The study was initiated in 2002 and is conducted every 2 years. The mission of ELSA is to gather data on the health, social, economic, and psychological aspects of aging in the English population. This study is conducted by a team of researchers from different institutions, led by the University College London. This study is funded by NIA/NIH in the US and the Department of Health and the Medical Research Council in the UK. The study contains nine main waves, from 2002-2003 to 2018-2019.
View ResourceHealth and Aging in Africa: A Longitudinal Study (HAALSI)
April 22, 2023
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Ray
The Health and Aging in Africa: A Longitudinal Study (HAALSI) is a longitudinal study aimed to understand the health and well-being of the elderly population in rural South Africa. This study contains a variety of data types, including demographic data, health status data, health behavior data, social and economic data, and biomarker data. The study started with a baseline survey conducted between 2014 and 2015. The second wave was conducted between 2016 and 2017, and the third wave was conducted between 2018 and 2019. This work is conducted in the Agincourt Health and Demographic Surveillance System (HDSS) site in Mpumalanga province, South Africa, and is funded by NIA, South African Medical Research Council, and the University of the Witwatersrand.
View ResourceLongitudinal Aging Study in India (LASI)
April 22, 2023
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Ray
The Longitudinal Aging Study in India (LASI) aims to supply the data needed to understand the situation of India’s elderly population. The evidence base contributes to cross-national studies of aging and informs the design of policies that can protect and support the growing elderly community. The LASI contains various types of data, including demographic data, health data, lifestyle data, social data, economic data, cognitive data, biomarker data, medical history data, and environment data. The pilot portion of the LASI project is supported by an R21 exploratory grant from the National Institute on Aging (NIA). The LASI pilot survey targeted 1,600 individuals aged 45 and older and their spouses. The instruments of LASI pilot include Computer-Assisted Personal Interview (CAPI) and collection of biomarkers
The study is conducted by the International Institute for Population Sciences (IIPS), in collaboration with several academic institutions, including Harvard School of Public Health, University of Southern California, and the University of Southern Denmark, and is funded by NIA/NIH, United Nations Population Fund (UNFPA) India, Ministry of Health and Family Welfare in India, and other academic institutions.
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Mexican Health and Aging Study (MHAS)
April 22, 2023
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Ray
The Mexican Health and Aging Study (MHAS) is a national longitudinal study of adults aged 50 or older in Mexico. The baseline survey, with national and urban/rural representation of adults born in 1951 or earlier, was conducted in 2001 with follow-up interviews in 2003, 2012, 2015, 2018 and 2021. MHAS is partly sponsored by the National Institutes of Health/National Institute on Aging (grant number NIH R01AG018016) in the United States and the Instituto Nacional de Estadística y Geografía (INEGI) in Mexico.
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Midlife in the United States (MIDUS)
April 22, 2023
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Ray
Midlife in the United States (MIDUS) is a longitudinal research project that aims to examine the physical, psychological, and social factors that contribute to health and well-being in midlife and beyond. This study is conducted by a multidisciplinary team led by University of Wisconsin-Madison and is funded by various sources including NIA, NSF, NIMH, and multiple academic institutions. MIDUS has been conducted in three stages: MIDUS I, MIDUS II, AND MIDUS III.
MIDUS I was conducted between 1995 and 1996 and involved data collection from over 7,000 adults aged 25 to 74. This original data collection focused on physical health, mental health, social relationship, and life experiences.
MIDUS II was conducted between 2004 and 2006 and collected data from more than 4900 of the MIDUS I participants. This second phase included additional measures for mental and physical health and also new information on cognitive function, genetics, and biomarkers.
MIDUS III was conducted between 2013 and 2014 and collected data of more than 4500 participants from MIDUS I. This latest phase focused on aging and included information on physical and cognitive function, health care utilization, and social support.
View ResourceMinority Aging Research Study (MARS)
April 11, 2023
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Ray
The Minority Aging Research Study is a unique study designed for older African Americans. The goal is to learn how to prevent common problems associated with aging, including poor memory, slowed walking and weakness. This study aims to understand why we lose certain abilities as we get older, figure out how to improve these abilities, and discover ways to prevent aging-related problems from affecting our children and grandchildren.
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