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May 9, 2026Scientific Reports0 citationsOpen Access

Assessment of noise-induced hearing loss based on frequency analysis and its association with metabolic syndrome: a case study in a petrochemical industry

AAArman AmiriESEdris SoltaniAKAli Khavanin

Key Points

  • This study aims to explore the relationship between noise-induced hearing loss (NIHL) and metabolic syndrome (MetS) in industrial workers.
  • Cross-sectional descriptive-analytical study with 1,142 male employees from a petrochemical industry.
  • Measured fasting blood glucose, triglycerides, HDL cholesterol, and conducted pure-tone audiometry across various frequencies.
  • Analyzed data using logistic regression models with NIHL as the predictor and MetS as the dependent variable.
  • Prevalence of MetS was 6.92% and NIHL was 22.24% among participants.
  • Mean hearing threshold at tested frequencies was significantly higher in individuals with MetS (p < 0.05).
  • NIHL was associated with higher odds of MetS (OR = 1.35, 95% CI: 1.27–1.44; p < 0.05), particularly linked to higher triglyceride levels.

Abstract

With the global expansion of industrial sectors, noise has emerged as a significant harmful physical agent in workplaces. Besides auditory effects, high-level noise exposure can cause non-auditory consequences, especially at high sound intensities. These effects may include metabolic disturbances such as Metabolic Syndrome (MetS). This study aimed to examine the relationship between noise-induced hearing loss (NIHL) at different sound frequencies and the occurrence of MetS and its defining factors. This cross-sectional descriptive-analytical study was conducted on 1,142 male employees in a petrochemical industry. Fasting blood glucose, triglycerides, and HDL cholesterol were measured from serum samples, and pure-tone audiometry was performed to assess hearing thresholds at 500, 1000, 2000, 3000, 4000, 6000, and 8000 Hz. MetS was defined based on the NCEP-ATP III criteria. Data were analyzed using logistic regression models, with MetS as the dependent variable and NIHL as the predictor, adjusting for age, work experience, BMI, and blood pressure. Findings showed the prevalence of MetS and NIHL was 6.92% and 22.24%, respectively. mean hearing threshold across the tested frequencies significantly higher in individuals with MetS than in those without (p 0.05). Among demographic variables, higher BMI and education level were associated with higher odds of MetS. Overall, the results show that frequency-specific patterns of NIHL were associated with a higher likelihood of MetS. Therefore, controlling noise and addressing its non-auditory effects is essential in industrial settings.

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Cite This Study

Amiri et al. (2026) studied this question.

synapsesocial.com/papers/69fecfe9b9154b0b82876de0https://doi.org/10.1038/s41598-026-51433-x
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