Occupational Noise Exposure and Diabetes Risk

J Environ Public Health. 2021 Mar 19:2021:1804616. doi: 10.1155/2021/1804616. eCollection 2021.

Abstract

Introduction: Noise is one of the most common worldwide environmental pollutants, especially in occupational fields. As a stressor, it affects not only the ear but also the entire body. Its physiological and psychological impacts have been well established in many conditions such as cardiovascular diseases. However, there is a dearth of evidence regarding diabetes risk related to noises.

Aim: To evaluate the relationship between occupational exposure to noise and the risk of developing diabetes.

Methods: This is a cross-sectional analytical study enrolling two groups of 151 workers each. The first group (noise exposed group: EG) included the employees of a Tunisian power plant, who worked during the day shift and had a permanent position. The second group (unexposed to noise group: NEG) included workers assigned to two academic institutions, who were randomly selected in the Occupational Medicine Department of the Farhat Hached University Hospital in Sousse, during periodical fitness to work visits. Both populations (exposed and unexposed) were matched by age and gender. Data collection was based on a preestablished questionnaire, a physical examination, a biological assessment, and a sonometric study.

Results: The mean equivalent continuous sound level was 89 dB for the EG and 44.6 dB for the NEG. Diabetes was diagnosed in 24 workers from EG (15.9%) and 14 workers from NEG (9.3%), with no statistically significant difference (p=0.08). After multiple binary logistic regression, including variables of interest, noise did not appear to be associated with diabetes.

Conclusion: Our results did not reveal a higher risk of developing diabetes in workers exposed to noise. Further studies assessing both level and duration of noise exposure are needed before any definitive conclusion.

MeSH terms

  • Adult
  • Diabetes Mellitus / epidemiology*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Noise, Occupational / adverse effects
  • Noise, Occupational / statistics & numerical data*
  • Occupational Exposure / adverse effects
  • Occupational Exposure / statistics & numerical data*