Presenteeism and Productivity: The Role of Biomarkers and Hormones

Aristides I. Ferreira, Amalia R. Pérez-Nebra, Eva Ellen Costa, Maria Luisa A. Aguiar, Adriane Zambonato, Carla G. Costa, João G. Modesto and Paula da Costa Ferreira
Additional contact information
Aristides I. Ferreira: ISCTE—Instituto Universitário de Lisboa (ISCTE-IUL), Avenida das Forças Armadas, 1649-026 Lisboa, Portugal
Amalia R. Pérez-Nebra: UnB—Universidade de Brasília, Campus Universitário Darcy Ribeiro, Brasília, DF 70910-900, Brazil
Eva Ellen Costa: ISCSP—Instituto Superior de Ciências Sociais e Politicas da Universidade de Lisboa, R. Almerindo Lessa, 1300-666 Lisboa, Portugal
Maria Luisa A. Aguiar: UniCEUB—Centro Universitário de Brasília, SEPN 707/907, Campus do UniCEUB, Bloco 9, Asa Norte, Brasília, DF 70910-900, Brazil
Adriane Zambonato: UniCEUB—Centro Universitário de Brasília, SEPN 707/907, Campus do UniCEUB, Bloco 9, Asa Norte, Brasília, DF 70910-900, Brazil
Carla G. Costa: ISMAT—Instituto Superior Manuel Teixeira Gomes, R. Dr. Estevão de Vasconcelos 33 A, 8500-656 Portimão, Portugal
João G. Modesto: UniCEUB—Centro Universitário de Brasília, SEPN 707/907, Campus do UniCEUB, Bloco 9, Asa Norte, Brasília, DF 70910-900, Brazil
Paula da Costa Ferreira: CICPSI (UIDB/04527/2020; UIDP/04527/2020)—Faculty of Psychology, University of Lisbon, Alameda da Universidade, 1649-013 Lisboa, Portugal

IJERPH, 2021, vol. 18, issue 9, 1-10

Abstract: Purpose. This study aimed to assess whether self-reported productivity despite presenteeism may be affected by biomarkers and hormones and how these physiological indicators can interact with each other to explain the presenteeism dimensions. Methods. This pilot study included 180 healthy participants with a mean age of 41.22 years (SD = 13.58), 76.11% of whom were female. The dependent variable included a self-reported measure of productivity loss due to presenteeism: the Stanford Presenteeism Scale 6. This study also includes physiological indicators such as biomarkers (C-reactive protein (CRP) and blood glucose) and hormones (cortisol and TSH thyroid hormone). Results. Multiple linear regression analyses revealed that CRP moderated the relationship between cortisol levels and productivity despite presenteeism. Moreover, the increase of TSH moderated the relationship between cortisol, glycemia, and employees’ capacity to complete work tasks while sick. Conclusions. The results highlight TSH’s moderating role in decreasing employees’ capacity to fulfill tasks when these individuals have high levels of glycemia and cortisol in their blood. These findings have practical and theoretical implications based on a fuller understanding of how biomarkers and hormones explain productivity despite presenteeism.

Keywords: biomarkers; hormones; cortisol; glycemia; presenteeism; productivity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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