Revisiting Public Trust and Media Influence During COVID-19 Post-Vaccination Era—Waning of Anxiety and Depression Levels Among Skilled Workers and Students in Serbia
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Setting
2.3. Participants
- Healthcare workers (physicians, nurses/medical technicians);
- Education workers (teachers, university staff);
- Military personnel;
- College students enrolled in undergraduate or graduate programs.
2.4. Variables
- Level of anxiety—Measured using the Beck Anxiety Inventory (BAI), a 21-item scale with scores categorized as low (0–21), moderate (22–35), or severe (≥36) anxiety (Beck et al., 1988);
- Level of depression—Assessed via the Zung Self-Rating Depression Scale (SDS), a 20-item tool classifying scores as normal (20–49), mild (50–59), moderate (60–69), or severe (≥70) depression (Zung, 1965).
- Disturbance by COVID-19-related information—Four dichotomous (yes/no) items evaluated distress from media reports, independent information-seeking, lack of information, and perceived transmission risk;
- Trust in institutions—Two dichotomous items assessed confidence in Serbia’s healthcare system and government-proposed preventive measures.
2.5. Data Sources/Measurements
2.6. Bias
- Selection Bias: Snowball sampling may have overrepresented individuals within the authors’ networks or those with stronger opinions about COVID-19.
- Non-Response Bias: The 30-day recruitment window and lack of incentives likely excluded busy or disinterested individuals.
- Self-Report Bias: Social desirability may have led to underreporting of mental health symptoms or distrust in institutions.
2.7. Study Size
2.8. Quantitative Variables
2.9. Statistical Methods
2.10. Ethical Considerations
3. Results
Between-Group Comparisons
4. Discussion
4.1. Key Findings and Global Context
- Approximately one-quarter reported decreased disturbance levels from these factors;
- Half to two-thirds reported no change;
- Around 10% reported increased disturbance (over 15% specifically cited increased disturbance from media reports).
4.2. Public Trust in General and Institutional Dynamics
4.3. Media Influence and Mental Health
4.4. COVID-19-Related Public Trust
4.5. Population of Students
4.6. Healthcare Workers
4.7. Contribution of the Study to the Existing Theoretical Frameworks
4.8. Implications for Policy and Practice
- Institutional Reforms: Rebuilding trust requires transparent communication and anti-corruption measures. For example, Serbia’s Crisis Team, criticized for opaque decision-making (Mandić, 2020), could adopt participatory frameworks involving healthcare workers and educators in policy design—a strategy that improved compliance in Germany and New Zealand (OECD, 2021).
- Mental Health Support: Targeted programs for high-risk groups are essential. Universities could integrate mental health screenings into academic services, while hospitals might offer resilience training for nurses. Japan’s “vaccine ambassador” model, which leveraged trusted community figures to boost uptake, offers a blueprint for Serbia (Yoda & Katsuyama, 2021).
- Media Regulation: Combating misinformation requires collaboration between governments and tech platforms. Serbia could emulate the EU’s Digital Services Act, which mandates transparency in algorithmic content prioritization, to curb viral conspiracy theories (Cervi et al., 2023).
- Occupational Equity: Addressing nurse–physician trust disparities demands systemic changes, such as equitable resource allocation and leadership opportunities for nurses. Costa Rica’s nurse-led vaccination campaigns, which improved public confidence, highlight the value of empowering marginalized healthcare roles (Larson et al., 2018).
4.9. Study Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
COVID-19 | Coronavirus disease-19 |
BAI | Beck Anxiety Inventory |
SDS | Self-Rating Depression Scale |
IQR | Interquartile range |
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Have You Experienced Disturbance | Never n (%) | Very Rarely n (%) | Rarely n (%) | Sometimes n (%) | Usually n (%) | Often n (%) | Very Often n (%) | Always n (%) |
---|---|---|---|---|---|---|---|---|
by the media reports regarding the outbreak? | 44 (25.7) | 39 (22.8) | 22 (12.9) | 32 (18.7) | 14 (8.2) | 7 (4.1) | 8 (4.7) | 5 (2.9) |
by the information from other sources you have learned on your own initiative? | 49 (28.7) | 37 (21.6) | 26 (15.2) | 27 (15.8) | 14 (8.2) | 4 (2.3) | 11 (6.4) | 3 (1.8) |
by the lack of the information regarding the COVID-19 outbreak and the disease itself? | 49 (28.7) | 36 (21.1) | 28 (16.4) | 29 (17) | 8 (4.7) | 11 (6.4) | 6 (3.5) | 4 (2.3) |
by the possibility of virus transmission from other people despite personal preventive measures you applied? | 48 (28.1) | 28 (16.4) | 26 (15.2) | 35 (20.5) | 10 (5.8) | 9 (5.3) | 12 (7) | 3 (1.8) |
Compared to the Period Prior to the Vaccination Implementation, What Was the Change in the Disturbance You Experienced | It Decreased n (%) | It Did Not Change n (%) | It Increased n (%) |
---|---|---|---|
by the media reports regarding the outbreak? | 48 (28.1) | 97 (56.7) | 26 (15.2) |
by the information from other sources you learned on your own initiative? | 42 (24.6) | 108 (63.2) | 21 (12.3) |
by the lack of the information regarding the COVID-19 outbreak and the disease itself? | 38 (22.2) | 115 (67.3) | 18 (10.5) |
by the possibility of virus transmission from other people despite personal preventive measures you applied? | 45 (26.3) | 112 (65.5) | 14 (8.2) |
Compared to the period prior to the vaccination implementation, how did your trust change | It decreased n (%) | It did not change n (%) | It increased n (%) |
in the healthcare system | 25 (14.6) | 119 (69.6) | 27 (15.8) |
in the preventive measures proposed by the Crisis team | 40 (23.4) | 120 (70.2) | 11 (6.4) |
Answers n (%) | The Degree of the COVID-19 Outbreak Influence on the BAI Responses | The Degree of the COVID-19 Outbreak Influence on the SDS Responses |
---|---|---|
Smallest degree of influence | 34 (19.9) | 32 (18.7) |
Very small degree of influence | 32 (18.7) | 39 (22.8) |
Somewhat small degree of influence | 45 (26.3) | 46 (26.9) |
Somewhat high degree of influence | 43 (25.1) | 36 (21.1) |
Very high degree of influence | 9 (5.3) | 10 (5.8) |
Highest degree of influence | 8 (4.7) | 8 (4.7) |
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Adamovic, M.; Nikolovski, S.; Milojevic, S.; Zdravkovic, N.; Markovic, I.; Djokic, O.; Tomic, S.; Burazor, I.; Zivkov Saponja, D.; Gacic, J.; et al. Revisiting Public Trust and Media Influence During COVID-19 Post-Vaccination Era—Waning of Anxiety and Depression Levels Among Skilled Workers and Students in Serbia. Behav. Sci. 2025, 15, 939. https://doi.org/10.3390/bs15070939
Adamovic M, Nikolovski S, Milojevic S, Zdravkovic N, Markovic I, Djokic O, Tomic S, Burazor I, Zivkov Saponja D, Gacic J, et al. Revisiting Public Trust and Media Influence During COVID-19 Post-Vaccination Era—Waning of Anxiety and Depression Levels Among Skilled Workers and Students in Serbia. Behavioral Sciences. 2025; 15(7):939. https://doi.org/10.3390/bs15070939
Chicago/Turabian StyleAdamovic, Miljan, Srdjan Nikolovski, Stefan Milojevic, Nebojsa Zdravkovic, Ivan Markovic, Olivera Djokic, Slobodan Tomic, Ivana Burazor, Dragoslava Zivkov Saponja, Jasna Gacic, and et al. 2025. "Revisiting Public Trust and Media Influence During COVID-19 Post-Vaccination Era—Waning of Anxiety and Depression Levels Among Skilled Workers and Students in Serbia" Behavioral Sciences 15, no. 7: 939. https://doi.org/10.3390/bs15070939
APA StyleAdamovic, M., Nikolovski, S., Milojevic, S., Zdravkovic, N., Markovic, I., Djokic, O., Tomic, S., Burazor, I., Zivkov Saponja, D., Gacic, J., Petkovic, J., Knezevic, S., Spiler, M., Svetozarevic, S., & Adamovic, A. (2025). Revisiting Public Trust and Media Influence During COVID-19 Post-Vaccination Era—Waning of Anxiety and Depression Levels Among Skilled Workers and Students in Serbia. Behavioral Sciences, 15(7), 939. https://doi.org/10.3390/bs15070939