|Dataset Full Name||World Health Organization (WHO) Study on global Ageing and adult health|
SAGE is a longitudinal study of adults over 50 years and older living in six countries: China, Ghana, India, Mexico, Russian Federation and South Africa.There is also a comparison sample of adults aged 18-49 years from each country. It is part of an ongoing effort to compile comprehensive longitudinal information on the health and well-being of adult populations and the aging process. Participants are a nationally representative sample for each country. As of 2017 there were 2 waves of data available in addition to the baseline data (collected in 2002-2004). Training for Wave 3 data collection began in Feb 2017.
National Institutes of Health (NIH)
|Health Conditions/Disability Measures|
Depression, Eye diseases, Arthritis, Stroke, Cardiovascular conditions, Diabetes, Pulmonary disorders, Body mass index (BMI)/obesity, Chronic pain, Oral health, Injuries, AIDS/HIV
Ambulatory disability, Special equipment use/assistive technology, Physical disability, Cognitive disability, Functional limitations (ADLs and/or IADLs), Hearing disability, Visual disability,
Other measures: Timed walk, Vision test, Grip strength, Lung function, WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), 10-WORD list for memory recall
|Measures/Outcomes of Interest|
Household population: Adults 50 years and older of age residing in one of the participating countries
|Unit of Observation||
Africa, Asia, Central America & Caribbean
China, Ghana, India, Mexico, Russian Federation, South Africa
Area of residence/city
|Data Collection Mode||
At home survey interviews, physical examination and blood collection
|Data Collection Frequency||
Frequency varied by wave and country. Between 3-5 years
|Strengths and Limitations|
|Data Access Requirements||
Public Use Dataset
Separate datasets available for each country/wave:
Other longitudinal ageing studies:
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
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