JOURNAL ARTICLE

Scrutinizing translators' mental health and well-being: Voices of the profession from Slovakia.

  • Published In: Across Languages & Cultures, 2025, v. 26. P. 41 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Bednárová-Gibová, Klaudia; Karnaukh, Anastasiya 3 of 3

Abstract

Although limited research suggests that professional translators suffer from occupational stress, their mental health and well-being have broadly been overlooked. As a result, the need to address possible mental health issues in the translation profession has become more apparent. This study aims to shed more light on the factors influencing translators' stress levels, job satisfaction, and general psychological health with a particular focus on mental well-being. Using a structured survey (n = 81), the study explores how organizational work aspects (workload, access to support systems, involvement in professional communities), along with some psychological factors (burnout, sources of stress, motivation), influence translators' mental well-being. Based on the results, translators in Slovakia tackle a number of professional challenges such as social isolation, financial instability, and heavy workloads. Although a substantial number of translators are found to report high levels of job satisfaction, a significant proportion report only moderate levels, often owing to job insecurity and insufficient remuneration. The findings highlight the need for industry-wide improvements in workload management, compensation, and support networks in order to promote translators' mental well-being. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Across Languages & Cultures. 2025/09, Vol. 26, p41
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2025
  • ISSN:1585-1923
  • DOI:10.1556/084.2025.01056
  • Accession Number:188498502
  • Copyright Statement:Copyright of Across Languages & Cultures is the property of Akademiai Kiado and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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