|Dataset Full Name||English Longitudinal Study of Ageing|
ELSA is a longitudinal study of a nationally representative sample of the English population over age 50. There are currently 7 waves of data spanning over 14 years. The primary purpose of the ELSA is to collect multidisciplinary, longitudinal data to enable the investigation into the causal processes and health trajectories associated with aging. The sample was drawn from respondents to the Health Survey for England (HSE). The HSE provides baseline data prior to the first wave of the ELSA study on respondents' health including details of morbidity, lifestyle, diets and blood samples. ELSA included a life history interview designed to document major life events from childhood to current time including retrospective self reported health and disability.
Aging, Longitudinal, Health, Disability, Health risk behaviors, Life history
4 independent agencies fund different parts of the study:
|Health Conditions/Disability Measures|
Allergies, Alzheimer's/dementia, Anxiety disorders, Arthritis, Bipolar disorder, Blood disorder, Body mass index (BMI)/obesity, Cancer, Cardiovascular conditions, Chronic pain, Depression (CES-D), Diabetes, Epilepsy or seizure disorder, Eye diseases, Heart attack, Migraine or frequent headaches, Orthopedic conditions, Osteoporosis, Parkinson's disease, Pulmonary disorders, Stroke
Ambulatory disability, Cognitive disability, Functional limitations (ADLs and/or IADLs), Hearing disability, Mental health disability, Physical disability, Special equipment use/assistive technology, Visual disability, Work limitation
Other measures/tests: Balance tests, Chair stands, 10-word list for memory evaluation, Grip strength, Chair rise, Pain, Rose Angina Scale, Timed walking speed
|Measures/Outcomes of Interest|
Household population (Adults over 50 years)
Sample was drawn from households that responded to the Health Survey for England (HSE) between 1998 and 2011.
* Note the sample was refreshed at waves 3, 4, 6 and 7 - not all respondents have participated since 2002.
|Unit of Observation||
Government Office Region
(More detailed variables can be requested directly from NatCen)
|Data Collection Mode||
|Data Collection Frequency||
Every 2 years
|Strengths and Limitations|
|Data Access Requirements||
Main components (not all were collected/available for each wave)
Listing of available Data by 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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