Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024Exploring workability in an older working population: associations with cognitive functioning, sleep quality, and technostress2citations

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Chart of shared publication
Barnini, Teresa
1 / 1 shared
Comotti, Anna
1 / 1 shared
Fattori, Alice
1 / 1 shared
Serra, Daniele
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Ciocan, Catalina
1 / 1 shared
Ferrari, Luca
1 / 2 shared
Bufano, Pasquale
1 / 1 shared
Laurino, Marco
1 / 1 shared
Tecco, Cristina Di
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2024

Co-Authors (by relevance)

  • Barnini, Teresa
  • Comotti, Anna
  • Fattori, Alice
  • Serra, Daniele
  • Ciocan, Catalina
  • Ferrari, Luca
  • Bufano, Pasquale
  • Laurino, Marco
  • Tecco, Cristina Di
OrganizationsLocationPeople

article

Exploring workability in an older working population: associations with cognitive functioning, sleep quality, and technostress

  • Barnini, Teresa
  • Comotti, Anna
  • Fattori, Alice
  • Bonzini, Matteo
  • Serra, Daniele
  • Ciocan, Catalina
  • Ferrari, Luca
  • Bufano, Pasquale
  • Laurino, Marco
  • Tecco, Cristina Di
Abstract

<jats:sec><jats:title>Objective</jats:title><jats:p>This observational study investigates workability and its associations with cognitive functioning, sleep quality and technostress among an older working population, also shedding light on potential differences between two occupational categories with different work schedules.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Workers aged over 50, employed in different working sectors (banking/finance, chemical and metal-mechanic industry) were administered a self- report questionnaire including Work Ability Index (WAI), cognitive tests (Stroop Color Task, Corsi Blocks, Digit Span), sleep quality questionnaires (Pittsburgh Sleep Quality Index-PSQI; Insomnia Severity Index-ISI; Ford Insomnia Response to Stress Test-FIRST) and technostress scale. Linear regression models evaluated associations among variables, interaction effects investigated potential moderators.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>A total of 468 aged workers categorized as white (WCWs; <jats:italic>N</jats:italic> = 289, 62%) or blue collars (BCWs; <jats:italic>N</jats:italic> = 179, 38%) were enrolled; most BCWs (<jats:italic>N</jats:italic> = 104; 58%) were night shift workers. WCWs reported higher workability, cognitive functioning, sleep quality and lower technostress (except for invasion and privacy subscales) than BCWs. Associations between cognitive functioning and workability were statistically significant only for BCWs [slopes equal to 0.2 (0.33), 0.8 (0.34), −0.02 (0.001) for Memory Span Corsi, Block Span Digit and Interference Speed respectively]; additionally, sleep quality significantly moderated this association (<jats:italic>p</jats:italic> = 0.007). Higher levels of technostress were associated with lower workability, and this relationship was stronger for BCWs.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>The aging of the workforce has important implications for occupational health and safety. Our findings suggest potential interventions and protective measures to promote older workers’ wellbeing; blue-collar workers particularly should benefit from tailored intervention to sustain workability and prevent technostress, considering the role of healthy sleep habits promotion.</jats:p></jats:sec>

Topics
  • aging
  • size-exclusion chromatography
  • aging