Occupational Noise Exposure and Diabetes Risk

Influence of Different Noise Types on Hearing Function in Patients Treated for Mild Otitis Media

BACKGROUND

Otitis media (OM) refers to a common clinical ear disease. Noise seriously damages human hearing function. This study aimed to investigate the effects of various noise types on the hearing function of patients who have recovered from mild OM.

MATERIALS AND METHODS

A total of 160 patients with mild OM treated at our hospital from May 2020 to May 2023 were retrospectively selected for this study. Based on clinical data, the patients were divided into the non-noise group (n = 80) and the noise (n = 80) group. The hearing thresholds of the two groups were compared across various noise types at 500, 1000, and 2000 Hz. In addition, the hearing thresholds of the noise group were compared under the same conditions.

RESULTS

The noise group exhibited significantly higher hearing thresholds at 500, 1000, and 2000 Hz than the non-noise group (P < 0.05). Under traffic, urban construction, and industrial noises, the auditory thresholds at 500, 1000, and 2000 Hz in the noise group were significantly higher than those observed under domestic and speech noises (P < 0.05).

CONCLUSION

Noise shows a close relationship with the hearing function of patients with OM. Traffic, urban construction, and industrial noises greatly influence the hearing function of patients who have recovered from mild OM.

Relationship Between Occupational Noise Exposure and Gestational Hypertension in Pregnant Women in Taizhou City: Cross-Sectional Study

OBJECTIVE

In view of the hazards of occupational noise exposure, this study investigated the relationship between occupational noise exposure and gestational hypertension in Taizhou City, Zhejiang Province, China to provide inspiration and reference for reducing the occurrence of gestational hypertension.

METHODS

This cross-sectional study analyzed the clinical data of 316 pregnant women in Taizhou City admitted to Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University from May 2020 to May 2023. In accordance with Acoustic Environment Quality Standards (GB3096-2008), 60 dB was used as the cut-off point. These pregnant women were divided into the low noise group (LNG, n = 161) and high noise group (HNG, n = 155) according to the noise exposure level in the working environment. This also study compared the noise exposure, blood pressure (BP), fasting blood glucose (FBG), blood lipid (BL), fetal size, and heart rate (HR), and analyzed the relationship of noise exposure with BP, FBG, BL, fetal size, HR, and occurrence of gestational hypertension.

RESULTS

The HNG had higher noise exposure level (P < 0.001), BP, FBG, BL and HR (P < 0.001), larger fetal size (P < 0.001) and higher occurrence of gestational hypertension (P < 0.05) compared with the LNG. Correlation analysis showed that noise exposure level was positively correlated with BP, FBG, BL, HR, and fetal size (P < 0.001) and had the strongest association with gestational hypertension.

CONCLUSION

Occupational noise exposure has adverse effects on pregnant women and fetuses. Pregnant women should pay attention to their exposure to occupational noise to prevent gestational hypertension. The results of this study must be further verified and generalized.

Association between occupational noise and obesity: a retrospective cohort study in China

OBJECTIVES

To determine the relationship between occupational noise, and obesity and body mass index (BMI) changes.

METHODS

Baseline data were collected from participants (n = 1264) who were followed for 6 years in a retrospective study. The noise exposure level (LAeq,8h) was determined by equivalent continuous weighted sound pressure levels using the fixed-point surveillance method for noise monitoring. The cumulative noise exposure (CNE) level was determined using the equal energy formula, which is based on exposure history and level.

RESULTS

The incidence of obesity at low (RR = 2.364, 95% CI 1.123-4.739]), medium (RR = 3.921, 95% CI 1.946-7.347]), high (RR = 5.242, 95% CI 2.642-9.208]), and severe noise levels (RR = 9.322, 95% CI 5.341-14.428]) was higher risk than the LAeq,8h control level. The risk of obesity among participants exposed to low (RR = 2.957, 95% CI 1.441-6.068]) and high cumulative noise levels (RR = 7.226, 95% CI 3.623-14.415]) was greater than the CNE control level. For every 1 dB(A) increase in LAeq,8h, the BMI increased by 0.063 kg/m2 (95% CI 0.055-0.071], SE = 0.004). For every 1 dB(A) increase in the CNE, the BMI increased by 0.102 kg/m2 (95% CI 0.090-0.113], SE = 0.006).

CONCLUSIONS

Occupational noise is related to the incidence of obesity. The occupational noise level and occupational noise cumulative level were shown to be positively correlated with an increase in BMI.

Association between occupational noise exposure and diabetes: A systematic review and meta-analysis

BACKGROUND

In addition to the well-known risk factors of diabetes, evidence is accumulating on the negative role of environmental and occupational factors such as noise exposure. We conducted a systematic review and meta-analysis on the association between long-term occupational noise exposure and diabetes.

METHODS

We systematically searched evidence in PubMed, Scopus, and Web of Science (until August 2022) according to the PRISMA protocol. Risk of bias was assessed using the Newcastle-Ottawa scale. Random-effects meta-analysis was applied separately for risk ratio (odds ratio, relative risk) and hazard ratio. We evaluated the heterogeneity and publication bias. We applied meta-regressions to identify sources of heterogeneity. The overall body of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework.

RESULTS

Of 533 retrieved articles, twelve studies (11 on non-gestational, and one on gestational diabetes) on total 106,045 population (23,996 diabetic cases) met our inclusion criteria; of which eight studies were cross-sectional, three were cohorts, and one was case-control. Only 40% of papers (five out of 12) had fair, good or very good quality, and most of the papers had poor or very poor quality in terms of risk of bias. We observed a non-significant increased risk of diabetes in association with occupational noise exposure (combined risk estimates: 1.16, 95% confidence interval [CI]: 0.97: 1.34; I² = 57.7%). Doing separate meta-analyses on cohort and rest of studies, we found similar findings (cohort studies (n = 3): combined risk estimate: 1.17; 95% CI: 0.84: 1.50; I² = 79%; cross-sectional studies (n = 8): combined risk estimate: 1.26; 95% CI: 0.93: 1.58; I² = 50.4%). We found no indication of publication bias.

CONCLUSIONS

The overall evidence on the association between occupational noise exposure and diabetes is heterogeneous, limited, and mostly with low quality. More robust studies in terms of population selection, exposure and outcome assessment, and adjustment for confounders are necessary.

Association between long-term occupational noise exposure and obesity

Noise exposure has been linked to several health outcomes including obesity. This cross-sectional study examined the association between occupational noise exposure and body mass index as a measure of general obesity in 913 textile workers (totally from nine factories) in Yazd city, Iran, from winter to summer of 2018. The sound pressure level (dBA) at each working station was measured by a calibrated sound level meter. The long-term noise exposure score of each worker (as dBA.year) was calculated by multiplying the working history in each unit to its corresponding noise level. Models were adjusted for personal, behavioral, environmental, and family history factors. In total, 81.05% (n = 740) of the participants were exposed to noise levels higher than 85 dBA. The direct association was found for the fully adjusted model (β = 0.002; 95% CI: 0.001: 0.004). For the model with past year noise exposure, a 10.6% increase in odds was observed for each 5 dBA increase in noise exposure (95% CI: 1.005: 1.216). We found a 0.1% increase in the odds of being overweight in mixed-gender analysis (95% CI: 1.001:1.002) for each 5 dBA.year in the fully adjusted model. Occupational noise exposure should be regarded as a risk factor for cardiometabolic outcomes in industrial workers.