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Title: Aging at Work: A Review of Recent Trends and Future Directions
Authors: Barakovic Husic, Jasmina
Melero, Francisco José
Barakovic, Sabina
Lameski, Petre 
Zdravevski, Eftim 
Maresova, Petra
Krejcar, Ondrej
CHorbev, Ivan 
Garcia, Nuno M
Trajkovikj, Vladimir 
Issue Date: 2020
Publisher: MDPI AG
Journal: International journal of environmental research and public health
Abstract: Demographic data suggest a rapid aging trend in the active workforce. The concept of aging at work comes from the urgent requirement to help the aging workforce of the contemporary industries to maintain productivity while achieving a work and private life balance. While there is plenty of research focusing on the aging population, current research activities on policies covering the concept of aging at work are limited and conceptually different. This paper aims to review publications on aging at work, which could lead to the creation of a framework that targets governmental decision-makers, the non-governmental sector, the private sector, and all of those who are responsible for the formulation of policies on aging at work. In August 2019 we searched for peer-reviewed articles in English that were indexed in PubMed, IEEE Xplore, and Springer and published between 2008 and 2019. The keywords included the following phrases: "successful aging at work", "active aging at work", "healthy aging at work", "productive aging at work", and "older adults at work". A total of 47,330 publications were found through database searching, and 25,187 publications were screened. Afterwards, 7756 screened publications were excluded from the further analysis, and a total of 17,431 article abstracts were evaluated for inclusion. Finally, further qualitative analysis included 1375 articles, of which about 24 are discussed in this article. The most prominent works suggest policies that encourage life-long learning, and a workforce that comprises both younger and older workers, as well as gradual retirement.
DOI: 10.3390/ijerph17207659
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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