Objectives: Previous studies mostly focused on the relationship between chronic environmental noise exposure and hypertension but the effects of subacute (under 4 years) exposure with severe (>85 dB) noise exposure on clinical level hypertension have not been explored. This study aimed to reveal the association between severe noise exposure and hypertension. Methods: The severe noise exposure group was recruited from a Common Data Model conducted for the Korean Participants Health Examination from January 2014 to December 2017. The use of antihypertensive drug and/or blood pressure of at least 140/90 mmHg was defined as new onset clinical hypertension. A multivariate Cox proportional hazard model was implemented to estimate hazard ratios and 95% confidence intervals (CI) by adjusting covariates including demographic, lifestyle, and other chemical exposure factors. Time-dependent Cox analysis and Landmark analysis were further performed as a sensitivity analysis. Results: During the 29 332 person-years follow-up with 12 412 participants of the entire cohort, new onset hypertension occurred in 1222 participants. The findings showed that severe noise exposure was associated with an increased risk of hypertension incidence in the entire cohort [final model hazard ratio 1.28 (95% CI 1.11–1.47)]. Other covariates did not attenuate the association after adjusting age and sex. Time-dependent Cox and Landmark analysis also showed significant results [hazard ratio 1.60 (95% CI 1.38–1.85) and hazard ratio 1.33 (95% CI 1.13–1.57)]. Conclusion: Severe noise with subacute exposure is significantly associated with hypertension development. Further studies should be implemented to clarify whether severe exposure to noise could be an important risk factor for hypertension.

The role of hazardous occupational noise exposure on the development of prediabetes is not well researched. We aimed to elucidate exposure to hazardous occupational noise as an independent risk factor for high fasting blood glucose (FBG). Participants exposed/non-exposed to occupational noise were recruited from the Common Data Model cohorts of 2013/2014 from two centers and were followed-up for 3 years. Multivariate time-dependent Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) and were adjusted for various covariates. Pooled HRs were calculated. Among the 43,858 participants of this retrospective cohort study, 37.64% developed high FBG. The mean (standard deviation) age in the cohort was 40.91 (9.71) years. In the fully adjusted models, the HRs of high FBG in the two centers were 1.35 (95% CI: 1.24–1.48) and 1.22 (95% CI: 1.17–1.28), and the pooled HR was 1.28 (95% CI: 1.16–1.41). A Kaplan–Meier plot of high FBG incidence by occupational noise exposure showed significant results (p < 0.001). We found that occupational noise exposure is significantly associated with high FBG. Preventing exposure to hazardous noise in the work environment may help reduce the risk for prediabetes among workers.

This study aimed to investigate the association of support from colleagues and supervisors at the workplace on depressive and anxiety symptoms in wage earners from Korea. The data used in this study were from the fifth Korean Working Conditions Survey (KWCS) conducted in 2017 and analyzed using a multivariate logistic regression model. Furthermore, we measured the odds ratios (ORs) and 95% confidence intervals (CIs) of depressive and anxiety symptoms by stratifying covariates. The ORs of depressive and anxiety symptoms for the “non-support” group were higher than for the “support group” in terms of support from both colleagues and supervisors. The results of the stratified analysis of covariates, male, young, highly-educated, full-time, and white-collar groups were associated with the lack of support. Support from colleagues and supervisors was significantly associated with the Korean wage worker’s mental health—depressive and anxiety symptoms, respectively. Further longitudinal and clinical studies on the relationship between mental health and support at the workplace are required.

BackgroundSmoking negatively affects health, and previous studies argue that secondhand smoke (SHS) has a significantly negative health effect. We investigated whether SHS in the workplace influences workers' depression.MethodsThree years of data (2014, 2016, and 2018) from the Korean National Health and Nutrition Examination Survey were analyzed. Participants who were not current smokers were classified into the occupational SHS exposed and non-exposed groups. Multivariate logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) by adjusting various covariates. Stratified analysis with variables, such as year, sex, occupational classification, average working hours, was additionally performed.ResultsThe crude ORs of depression was 1.51 (95% CI: 1.27–1.80), and the fully adjusted OR with all the covariates was 1.57 (95% CI: 1.30–1.88). This indicated a significant relationship between occupational SHS and depression. The ORs increased every 2 years: 1.07 (95% CI: 0.79–1.44) in 2014, 1.88 (95% CI: 1.34–2.64) in 2016, and 2.07 (95% CI: 1.43–2.99) in year 2018. Stratification analysis also showed a significant association between SHS and depression among those in the prolonged work hours group and male employees, as well as blue- and white-collar workers.ConclusionSHS in the workplace was significantly associated with workers' depression. Our study provides insights into the impact of exposure to SHS for workers and provides a basis for further research and policy-making in this field.

Aim: Previous studies have focused on the association between ambient particulate matter and diabetes. However, the relationship between subacute exposure to occupational dust and diabetes has not been explored. We aimed to assess this relationship. Methods: Men who worked in dust-related process factories between January 2013 and December 2017 were recruited from a Korea Health Worker Examination Common Data Model cohort. A history of physician-diagnosed diabetes, use of an anti-diabetic drug, or a fasting blood glucose level of ≥7 mmol/L were considered the criteria to diagnose diabetes. Multivariable time-dependent Cox analysis estimated hazard ratios (HRs) and 95% CIs for incident diabetes associated with exposure to occupational dust exposure; interactions with lifestyle factors were analysed. Sensitivity analyses used propensity score matching and landmark analysis.Results: Among 5141 male participants (median follow-up duration, 3.85 years), 349 participants had diabetes. Occupational dust exposure was related to an increased risk of diabetes in the time-dependent Cox analysis (entire cohort: HR 1.66 [95% CI 1.25-2.19], matched cohort: HR 1. ). The findings showed the same direction in the landmark analysis (HR 1.42 [95% CI 1.01-1.99]).Conclusions: A significant relationship exists between occupational dust exposure and increased risk of diabetes in male workers. Further studies should be conducted to confirm that occupational dust exposure is a possible risk factor for diabetes.