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Aging research is a multidisciplinary field spanning many areas of natural and social and behavioral sciences and the research data is widely dispersed. Popular resources like PubMed and Google Scholar provide access to historic as well as most recent scientific abstracts and full text publications. However, few resources exist that incorporate ...
FREE Resources: 3 articles every 2 weeks (Register and Read Program, archived journals). Also, early journals (prior to 1923 in US, 1870 elsewhere) free, no registry necessary. Free and Subscription JSTOR [88] Jurn: Multidisciplinary Jurn is a free-to-use online search tool for finding and downloading free full-text scholarly works.
Ageing Research Reviews is a peer-reviewed scientific journal publishing review articles covering research on ageing, aging-associated diseases, and human life expectancy. The editor-in-chief is Claudio Franceschi ( University of Bologna ).
The journal covers research on all aspects of aging, publishing research articles, reviews, minireviews, and commentaries. In August 2022, its four editors-in-chief resigned, alleging excessive workload and insufficient compensation. [2] [3] At the time, Retraction Watch said the journal was "regarded as the leader in its field". [2]
NACDA's mission is to advance research on aging by helping researchers to profit from the under-exploited potential of a broad range of datasets. [2] NACDA acquires and preserves data relevant to gerontological research, processing as needed to promote effective research use, disseminates them to researchers, and facilitates their use.
Aging is a bimonthly peer-reviewed open access bio-medical journal covering research on all aspects of gerontology. The journal was established in 2009 and is published by Impact Journals. The editors-in-chief are Jan Vijg, David Andrew Sinclair, Vera Gorbunova, Judith Campisi, and Mikhail V. Blagosklonny.
ELSA and HRS data were used to directly compare measures of health, income, and education amongst 55- to 64-year-olds in England and the US. [8] The rates of disease (specifically heart disease, diabetes and cancer) across income groups (low, middle and high income) were significantly higher in the US than England.
The collected data include health variables (e.g. self-reported health, health conditions, physical and cognitive functioning, health behaviour, use of health care facilities), biomarkers (e.g. grip strength, body-mass index, peak flow), psychological variables (e.g. psychological health, well-being, life satisfaction), economic variables ...