Association between noise exposure and diabetes: meta-analysis

Environ Sci Pollut Res Int. 2020 Oct;27(29):36085-36090. doi: 10.1007/s11356-020-09826-6. Epub 2020 Jul 5.

Abstract

Diabetes is one of the typical chronic diseases, and its incidence is related to many environmental factors. At present, there is no radical cure for diabetes, so the prevention of diabetes is particularly important. In order to effectively prevent the occurrence of diabetes, it is necessary to understand the conditions leading to the occurrence of diabetes. Current studies have shown that long-term exposure to noise will increase the risk of diabetes. Literature was retrieved from Pubmed and Web of Science. The relationship between noise exposure and diabetes published in the past 10 years was retrieved from the literature. Two researchers screened the literatures and extracted the data according to the inclusion and exclusion criteria. Endnote software was used to manage the literature, and NOS (Newcastle-Ottawa Scale) scale was used to evaluate the quality of the included literatures. Random effects meta-analysis was used to comprehensively evaluate the noise exposure of diabetic patients, and stata13.1 was used for data analysis. After adherence to strict inclusion and exclusion criteria, eight studies on the association between noise and diabetes were selected, including five cohort studies and three cross-sectional studies, with a total of 514,570 participants and 23,708 diabetics. The results showed that exposure to noise increased the risk of developing diabetes (OR = 1.08; 95% CI = 1.03 ~ 1.12). From the analysis of these selected articles, it can be seen that there is a positive correlation between noise and the occurrence of diabetes. As a result, it is necessary to strengthen routine blood tests for people who have been exposed to noise for a long time, especially those who have to be exposed to noise due to their occupations.

Keywords: Diabetes; Hearing; Meta-analysis; Noise exposure; Risk factors.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Cross-Sectional Studies
  • Diabetes Mellitus*
  • Humans
  • Incidence
  • Noise*