Introduction: In workplace health promotion (WHP), health literacy and work ability are considered as outcomes of high interest. Therefore, the question arises as to what extent individual health literacy skills have an impact on work ability alongside sociodemographic influences.
Objectives: This study aimed to examine the associations between a structural model of health literacy as well as sociodemographic context factors and the work ability among employees with health-related risk factors.
Materials And Methods: The study was based on baseline data of a workplace-related intervention (158 employees with health-related risk factors, 53.8% women, 48 ± 10 years). Health literacy skills were assessed with Lenartz's Questionnaire (measuring "self-perception", "proactive approach to health", "dealing with health information", "self-control", "self-regulation", and "communication and cooperation"). Work ability was measured by the German Short Form of the Work Ability Index (WAI). As sociodemographic context factors, sex, age, and educational level were assessed. The associations were examined using structural equation modeling with partial least squares (SmartPLS 2.0.M3). Common quality criteria were applied and significance level was set at α = 5%.
Results: Model's reliability, validity, and structure could be validated. Regarding the impact on work ability, "self-regulation" showed a statistically significant direct effect (ß = 0.32, = 4.00, < 0.01, = 0.09) and "self-perception" had a significant indirect effect (ß = 0.13, = 2.53, < 0.05). The only additional association with work ability was found for age (ß = -0.25, = 3.82, < 0.01, = 0.04). The WAI score variance was explained to 17.5% by the health literacy skills and to 27.5% considering the additional sociodemographic context factors.
Conclusion: According to the structural model of health literacy, in employees with health-related risk factors, a target group-specific WHP approach could be the encouragement of self-regulation and self-perception. However, additional resources and conditions influencing work ability should be considered.
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http://dx.doi.org/10.3389/fpubh.2022.804390 | DOI Listing |
J Immunol
February 2025
Department of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, United States.
Mitochondrial antiviral-signaling protein (MAVS) is a key adapter protein required for inducing type I interferons (IFN-Is) and other antiviral effector molecules. The formation of MAVS aggregates on mitochondria is essential for its activation; however, the regulatory mitochondrial factor that mediates the aggregation process is unknown. Our recent work has identified the protein Aggregatin as a critical seeding factor for β-amyloid peptide aggregation.
View Article and Find Full Text PDFPhysiol Genomics
March 2025
College of Human Medicine, Michigan State University, Grand Rapids, MI 49503 USA.
Defining physiology and methods to measure biological mechanisms is essential. Extensive datasets such as RNA sequencing are used with little analysis of the knowledge gained from the various methodologies. Within this work, we have processed publicly available NCBI RNAseq datasets using a combination of bioinformatics tools for the largest physiological organ, the skin.
View Article and Find Full Text PDFJ Am Chem Soc
March 2025
Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Electrochemical methodologies offer a transformative approach to sustainable chemical synthesis by enabling precise, energy-efficient transformations. Here, we report the selective electrochemical N-formylation of methylamine using methanol as both reagent and solvent, facilitated by a simple glassy carbon electrode. Under optimized conditions, we achieve a faradaic efficiency (FE) of 34% for methylformamide synthesis in a neutral NaClO electrolyte.
View Article and Find Full Text PDFPhys Chem Chem Phys
March 2025
School of Science, Shandong Jiaotong University, Jinan 250357, China.
The phosphorylation of residue T177 produces a significant effect on the conformational dynamics of CDK6. Gaussian accelerated molecular dynamics (GaMD) simulations followed by deep learning (DL) are applied to explore the molecular mechanism of the phosphorylation-mediated effect on the conformational dynamics of CDK6 bound by three inhibitors 6ZV, 6ZZ and 0RS, in which 6ZV and 6ZZ have been used to test clinical performance. The DL finds that the β-sheets, αC helix as well as the T-loop are involved in obvious differences of conformation contacts and suggests that the T-loop plays a key role in the function of CDK6.
View Article and Find Full Text PDFBull Math Biol
March 2025
Department of Mathematics, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Two mechanisms that have been used to study the evolution of cooperative behavior are altruistic punishment, in which cooperative individuals pay additional costs to punish defection, and multilevel selection, in which competition between groups can help to counteract individual-level incentives to cheat. Boyd, Gintis, Bowles, and Richerson have used simulation models of cultural evolution to suggest that altruistic punishment and pairwise group-level competition can work in concert to promote cooperation, even when neither mechanism can do so on its own. In this paper, we formulate a PDE model for multilevel selection motivated by the approach of Boyd and coauthors, modeling individual-level birth-death competition with a replicator equation based on individual payoffs and describing group-level competition with pairwise conflicts based on differences in the average payoffs of the competing groups.
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