Aging and Occupational Health: The State of the Art

Dear Colleagues,

The global working population is quickly aging. Their concurrent exposure to classical and emerging risk factors such as occupational stress could contribute to a general decline of well-being, both psychological and physical, with relevant consequences for work organization and public health. In a scenario of deeply changing work organization, including the rising of the new 4.0 industry, it is crucial to consider these changes both as an opportunity for expert workers to maintain their productive role in the organization and as a possible source of concerns.

In fact, without an adequate continuing training process, elderly workers can suffer from these transformations, which may affect their mental health and reduce their work ability. For these reasons, there is a need to investigate the effects of these changes in work organization especially in elderly workers, also focusing on improving strategies to manage mental and physical issues and to promote active aging in the working population.

This Special Issue aims to present research findings from health professionals in relation to the promotion of healthy and active aging in the overall workforce.

This Special Issue welcomes manuscripts on the relationship between occupational risk factors and health consequences in the aging working population, along with the underlying mechanisms. Longitudinal studies are preferred, but cross-sectional studies and systematic reviews will also be considered.

Topics of interest include:

• Aging of the working population and its consequences for organizations;
• Relationship between new production methods, high technology processes, and the onset of industry 4.0 and the health status of elderly workers;
• Mental health in the aging working population and cognitive impairment;
• Organizational strategies to manage workers’ aging and promote active aging;
• Relationships between occupational risk factors, both classical and emerging ones, and physical and mental health of elderly workers;
• Design of new dose-response curves based on data from elderly workers;
• Risk assessment focused on elderly workers.

Prof. Dr. Giulio Arcangeli
Prof. Dr. Gabriela Topa
Guest Editors

Manuscript Submission Information

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