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The Study on global AGEing and adult health (SAGE) is run by the World Health Organization.An objective for SAGE is to compile comprehensive longitudinal data on the health and well-being of adult populations and the ageing process across different countries, through primary data collection, secondary data analysis and cross-study collaborations.
According to the Rules of the Senate, [1] the committee handles all matters relating to: Public health in general; Medical, hospital and quarantine services; Population issues, concerns, policies and programs affecting individuals and their families, and their effects on national, social and economic conditions
The Grant Study is an 86-year continuing longitudinal study from the Study of Adult Development at Harvard Medical School, started in 1938. [2] It has followed 268 Harvard-educated men, the majority of whom were members of the undergraduate classes of 1942, 1943 and 1944.
A longitudinal study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time (i.e., uses longitudinal data). It is often a type of observational study, although it can also be structured as longitudinal randomized experiment. [1]
The Dunedin Multidisciplinary Health and Development Study (also known as the Dunedin Study) is a detailed study of human health, development and behaviour.Based at the University of Otago in New Zealand, the Dunedin Study has followed the lives of 1037 babies born between 1 April 1972 and 31 March 1973 at Dunedin's former Queen Mary Maternity Centre since their birth.
Caerphilly Heart Disease Study, UK. Canadian Longitudinal Study on Aging / Étude longitudinale canadienne sur le vieillissement (CLSA-ÉLCV) The CARTaGENE cohort / Quebec's largest prospective study , Quebec, Canada; Cebu Longitudinal Health and Nutrition Survey, the Philippines; Framingham Heart Study, USA. Million Women Study, UK.
The English Longitudinal Study of Ageing (ELSA) is a longitudinal study that collects multidisciplinary data from a representative sample of the English population aged 50 and older to look at all aspects of aging in England.
A study reports the development of deep learning software using anatomic magnetic resonance images to estimate brain age with the highest accuracy for AI so far, including detecting early signs of Alzheimer's disease and varying neuroanatomical patterns of neurological aging. [228] [229] A study shows DNA methylation aging clocks could be ...