Volume 23, Issue 1 (2026)
ioh 2026, 23(1): 55-72 |
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Research code: IR.TUMS.NIHR.REC.1403.002
Ethics code: با تایید نماینده تحصیلات تکمیلی نیاز بها خذ کد اخلاق نب
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KHavanin A, ghasemi E, Mirzaei R. Survey of the noise effect on annoyance, stress and, job stress of Mashhad park rangers using Bayesian network. ioh 2026; 23 (1) :55-72
URL: http://ioh.iums.ac.ir/article-1-3637-en.html
URL: http://ioh.iums.ac.ir/article-1-3637-en.html
TMU , khavanin@modares.ac.ir
Abstract: (35 Views)
Introduction: Urban noise pollution represents a significant environmental concern, often operating as an imperceptible threat that compromises the health of millions, particularly in metropolitan areas. This study aimed to investigate the impact of noise exposure on occupational stress—one of the most critical organizational challenges affecting interpersonal and situational dynamics within workplaces—and noise annoyance, the most prevalent measurable subjective response among individuals exposed to elevated sound levels. Employing a Bayesian network approach, the research sought to predict and quantify the effects of noise on the studied variables among parking attendants in Mashhad.
Methods : A cross-sectional descriptive-analytical study was conducted in 2021 involving 111 parking attendants in Mashhad. Noise exposure was measured using a CELL 281 noise dosimeter. Subjective outcomes were assessed through demographic, noise annoyance, and psychological stress questionnaires. Data were analyzed using SPSS 20, with Pearson correlation, ANOVA, and t-tests applied for statistical evaluation. Additionally, a Bayesian network analysis was implemented via Netica software to identify and predict noise-affected factors. Demographic information, questionnaire responses, and dosimetry data were integrated into the Bayesian model to elucidate relationships between parameters and noise-induced outcomes.
Findings : Occupational stress was modeled as a child node in the Bayesian network. The analysis indicated that noise levels exceeding occupational standards contributed to occupational stress in 56.2% of cases, while moderate noise levels (within Iranian environmental standards) accounted for 43.8% of stress instances. Measured noise doses generally surpassed national environmental standards, though occupational exposure was categorized into safe, cautionary, and above-permissible ranges. In several high-traffic commercial-administrative streets, noise levels reached the occupational standard threshold of 85 dB. Correlation coefficients between noise dose percentage and outcome variables were as follows: occupational stress (0.47), psychological tension (0.03), sensitivity (0.16), and noise annoyance (0.26).
Conclusion : The Bayesian network provided a comprehensive, dynamic, and quantitative-qualitative modeling framework for predicting noise-affected parameters. Sensitivity analysis demonstrated model accuracy, precision, and recall values of 93.4%, 73.3%, and 100%, respectively. Increased noise exposure was associated with elevated sensitivity, annoyance, and occupational stress among parking attendants, though no significant effect was observed on psychological tension.
Methods : A cross-sectional descriptive-analytical study was conducted in 2021 involving 111 parking attendants in Mashhad. Noise exposure was measured using a CELL 281 noise dosimeter. Subjective outcomes were assessed through demographic, noise annoyance, and psychological stress questionnaires. Data were analyzed using SPSS 20, with Pearson correlation, ANOVA, and t-tests applied for statistical evaluation. Additionally, a Bayesian network analysis was implemented via Netica software to identify and predict noise-affected factors. Demographic information, questionnaire responses, and dosimetry data were integrated into the Bayesian model to elucidate relationships between parameters and noise-induced outcomes.
Findings : Occupational stress was modeled as a child node in the Bayesian network. The analysis indicated that noise levels exceeding occupational standards contributed to occupational stress in 56.2% of cases, while moderate noise levels (within Iranian environmental standards) accounted for 43.8% of stress instances. Measured noise doses generally surpassed national environmental standards, though occupational exposure was categorized into safe, cautionary, and above-permissible ranges. In several high-traffic commercial-administrative streets, noise levels reached the occupational standard threshold of 85 dB. Correlation coefficients between noise dose percentage and outcome variables were as follows: occupational stress (0.47), psychological tension (0.03), sensitivity (0.16), and noise annoyance (0.26).
Conclusion : The Bayesian network provided a comprehensive, dynamic, and quantitative-qualitative modeling framework for predicting noise-affected parameters. Sensitivity analysis demonstrated model accuracy, precision, and recall values of 93.4%, 73.3%, and 100%, respectively. Increased noise exposure was associated with elevated sensitivity, annoyance, and occupational stress among parking attendants, though no significant effect was observed on psychological tension.
Type of Study: Applicable |
Subject:
Noise
Received: 2024/06/8 | Accepted: 2026/02/24 | Published: 2026/03/30
Received: 2024/06/8 | Accepted: 2026/02/24 | Published: 2026/03/30
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