Occupational noise exposure and its association with incident hyperglycaemia: a retrospective cohort study

Chan

et al. 2020

IJERPH

Metabolic syndrome is becoming more common worldwide. Studies suggest environmental pollution, including traffic noise, might be linked with metabolic syndrome. This study sought to evaluate how noise exposure is linked to the development of metabolic syndrome and its components in Taiwan. Using data from a cohort of 42,509 participants and Cox proportional hazards regression models, the effects of noise exposure on metabolic syndrome and its components were quantified. After adjustment for covariates (age, gender, body mass index, and physical activity), the hazard ratio for metabolic syndrome was 1.13 (95% CI: 1.04–1.22) for medium noise exposure and 1.24 (95% CI: 1.13–1.36) for high noise exposure. Noise exposure was also positively associated with all of metabolic syndrome’s components. This finding suggests noise exposure might contribute to metabolic syndrome and its components. Policies aiming to reduce noise pollution might reduce the risks of metabolic syndrome and its components.

Section: Discussionmentioning

confidence: 99%

The Association between Noise Exposure and Metabolic Syndrome: A Longitudinal Cohort Study in Taiwan

Chan

et al. 2020

IJERPH

“…Further, more than 1.1 million workers were exposed to noise at levels above the daily occupational exposure limit (85 dB) in Australia [19]. Apart from hearing loss, noise can contribute to a series of health problems such as metabolic syndromes [20][21][22], cardiovascular disease [23,24], sleep prob-…”

mentioning

confidence: 99%

Relationship Between Chronic Noise Exposure, Cognitive Impairment, and Degenerative Dementia: Update on the Experimental and Epidemiological Evidence and Prospects for Further Research

Zhang

Wang

et al. 2021

JAD

Degenerative dementia, of which Alzheimer’s disease is the most common form, is characterized by the gradual deterioration of cognitive function. The events that trigger and promote degenerative dementia are not clear, and treatment options are limited. Experimental and epidemiological studies have revealed chronic noise exposure (CNE) as a potential risk factor for cognitive impairment and degenerative dementia. Experimental studies have indicated that long-term exposure to noise might accelerate cognitive dysfunction, amyloid-β deposition, and tau hyperphosphorylation in different brain regions such as the hippocampus and cortex. Epidemiological studies are increasingly examining the possible association between external noise exposure and dementia. In this review, we sought to construct a comprehensive summary of the relationship between CNE, cognitive dysfunction, and degenerative dementia. We also present the limitations of existing evidence as a guide regarding important prospects for future research.

“…The study showed a signi cant relationship between occupational noise exposure and incident hyperglycemia (Relative Risk 1.80 [95% CI 1.04-3.10]) 27 . However, this study focused on hyperglycemiawhich includes impaired fasting glucose-and did not re ect co-exposure factors and time-varying lifestyle factors.…”

Section: Discussionmentioning

confidence: 98%

Occupational Noise Exposure and Diabetes Mellitus: A 3-year Retrospective Multicenter Cohort Study

Yun

Sim

Kim

et al. 2021

Preprint

The global prevalence of diabetes has been increasing. However, occupational environmental factors influencing it have been poorly studied. The effect of occupational noise exposure on diabetes is somewhat controversial. Thus, this study examines the relationship between occupational noise exposure (≥85 dBA) and diabetes incidence. Participants (n = 58,284) were recruited from a Common Data Model cohort of two hospitals from 2013 or 2014 and were annually followed up for three years. Drug history, clinical history of diabetes, and/or fasting glucose of 126 mg/dL or more were defined as new-onset diabetes. Multivariable time-dependent Cox proportional hazard models and Landmark analysis were implemented to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Pooled HRs and 95% CIs were calculated using the weight obtained through standard error. Of the participants, 4.65% developed diabetes during the follow-up. The final adjusted pooled HR of Cox models indicated a significant relationship between occupational noise exposure and increased risk of diabetes (Time-dependent Cox: HR 1.35 [95% CI 1.17–1.57]; Landmark: HR 1.22 [95% CI 1.10–1.35]). There is a significant relationship between occupational noise exposure and incidence of diabetes. Screening for diabetes, active management, and prevention may be necessary to improve the health of individuals exposed to occupational noise.