Exploring the Association Between Digital Health Literacy and Burnout and Depression Among TV Journalists During the COVID-19 Pandemic in Serbia.

Publication date: Jul 14, 2025

Introduction: As in other crises, during COVID-19 pandemic, journalists were under immense pressure to report precise scientific information in a timely manner, which may have had a negative influence on their mental health. There could be an association between the digital health literacy of journalists and their mental health. The aim of this article was to explore the association between digital health literacy and burnout and depression among journalists in Serbia. Methods: A cross-sectional study was conducted involving a total of 180 journalists working on television with national coverage in Serbia. The main research instrument used was a questionnaire with four sections containing personal demographic information, the Digital Health Literacy Instrument, the Maslach Burnout Inventory-Human Services Survey, and the Beck Depression Inventory. Results: A total of 30% participants were found to have high levels of burnout on the emotional exhaustion (EE) subscale. On the depersonalization (DP) subscale, 10. 6% experienced high levels of burnout. On the personal accomplishment (PA) subscale, 38. 3% of participants faced high levels of burnout. Multivariate logistic regression analyses showed the association between high burnout on the EE scale and health status (OR: 0. 597, 95% CI: 0. 375-0. 952) and protecting privacy (OR: 0. 522, 95% CI: 0. 311-0. 875). Multivariate logistic regression analysis showed the association between high burnout on the PA scale and information searching (OR: 0. 255, 95% CI: 0. 124-0. 526), sex (OR: 2. 594, 95% CI: 1. 007-6. 68), socioeconomic status (OR: 2. 282, 95% CI: 1. 133-4. 595), and alcohol consumption (OR: 2. 188, 95% CI: 1. 004-4. 769). Multivariate logistic regression analysis showed associations between depression and sex (OR: 0. 180, 95% CI: 0. 059-0. 548), health status (OR: 0. 316, 95% CI: 0. 160-0. 626), the use of anti-anxiety medications (OR: 7. 303, 95% CI: 3. 167-16. 840), information searching (OR: 0. 432, 95% CI: 0. 191-0. 981), and protecting privacy (OR: 0. 443, 95% CI: 0. 233-0. 841). Conclusions: Our study showed a negative association between different domains of burnout, depression, and scores on protecting privacy and information searching scales.

Open Access PDF

Concepts Keywords
Healthcare burnout
Journalists COVID-19
Pandemic depression
Serbia health literacy
journalists

Semantics

Type Source Name
disease MESH Burnout
disease MESH Depression
disease MESH COVID-19 Pandemic
disease MESH emotional exhaustion
disease MESH depersonalization
disease MESH health status
disease MESH privacy
drug DRUGBANK Ethanol
disease MESH anxiety
drug DRUGBANK Coenzyme M
disease MESH Mental Disorders
disease MESH upper respiratory tract infection
disease MESH infections
disease IDO infection
disease MESH uncertainty
disease MESH post traumatic stress disorder
disease MESH morbidities
disease MESH psychological stress
disease MESH emergencies
disease MESH marital status
disease MESH lifestyle factors

Original Article

(Visited 2 times, 1 visits today)