Showing 22 results for Zakerian
Payam Khanlari, Ahmadali Noorbalatafti, Fakhradin Ghasemi, Shahrzad Ghiyasvandian, Kamal Azam, Seyed Abolfazl Zakerian,
Volume 16, Issue 1 (3-2026)
Abstract
Introduction: Healthcare workers face high rates of depression and anxiety due to job-related stressors, which harm their well-being and compromise care quality and patient safety. This study aims to integrate evidence and expert/stakeholder insights to identify and prioritize factors affecting healthcare workers’ mental health, enabling more targeted interventions and efficient resource allocation.
Material and Methods: This qualitative-ranking study used semi-structured interviews with purposively sampled hospital occupational health managers to identify factors affecting healthcare workers’ mental health, with interviews recorded, transcribed, and analyzed using content analysis in MAXQDA until saturation. The identified factors were then rated by industrial psychology experts and psychiatrists using a five-point Likert survey.
Results: 12 occupational health managers were interviewed, and 18 experts completed the ranking. 51 factors across 19 subcategories were identified in four main work-system levels: Individual (14 factors), Work/Task (16), Organizational (12), and External (9). In ranking, a history of mental illness was rated as the most important factor (mean 4.36), while working with automation was rated as the least important (mean 2.84); 11 factors scored >4, and many factors scored 3.5–4.
Conclusion: Using a systemic approach and stakeholder input, this study identified and prioritized factors affecting healthcare workers’ mental health across four levels—individual, work/task, organizational, and external—enabling more targeted, evidence-based interventions.
Jamal Biganeh, Seyed Abolfazl Zakerian, Mohammad Reza Esmaeelpour Monazzam , Shima Mohammadi, Ahmad Khosravi, Seyed Jamaleddin Shahtaheri,
Volume 16, Issue 1 (3-2026)
Abstract
Introduction: Combined exposures, such as noise and aluminum exposure, are present in many occupational workplaces. Nevertheless, the neurocognitive effects resulting from this co-exposure have been scarcely investigated. The present study aimed to determine the effects of noise and aluminum co‑exposure on behavioral and cognitive indices and biomarkers in a Wistar rat model.
Material and Methods: This experimental study investigated 20 adult male Wistar rats over a period of 45 days, divided into four groups: 1. Control group (no exposure), 2. Noise exposure group (95 dB, 4 hours daily), 3. Aluminum chloride exposure group (10 mg/kg, daily intraperitoneal injection), and 4. Combined noise and aluminum exposure group (a combination of Group 2 and Group 3). Spatial memory performance was assessed using the Morris Water Maze test. The serum concentrations of total tau protein and beta-amyloid 42 were measured in blood samples using the ELISA method. Data were analyzed using SPSS software, version 27.
Results: Behavioral test results indicated that the control group spent the least time searching for the platform. Exposure to aluminum and the combination of noise + aluminum led to a significant decrease in cognitive performance. Furthermore, serum levels of tau protein and beta-amyloid were significantly increased in all exposed groups (p<0.01), and a strong positive correlation was observed between these two biomarkers (r=0.70, p<0.001).
Conclusion: Findings demonstrated concurrent noise and aluminum exposure can synergistically impact cognitive performance and neurodegenerative biomarkers. These alterations likely occur through shared mechanisms such as oxidative stress, neuroinflammation, and disruption of protein homeostasis. Increased tau and amyloid, coupled with memory decline, underscore this combined role in worsening neurodegeneration. These results suggest monitoring combined exposure and using blood biomarkers for early cognitive assessment.
