Association between Meniere's disease and air pollution in South Korea

Seasonal variation in peripheral vestibular disorders based on Korean population data

Objectives

Comprehensive studies in which the seasonal variation in peripheral vestibular disorders was evaluated using data from an entire population are insufficient. The seasonal variation in peripheral vestibular disorders based on data from the entire Korean population was investigated in the present study.

Methods

Retrospective data from the National Health Insurance Service of Korea from 2008 to 2020 was analyzed. Benign paroxysmal positional vertigo (BPPV), vestibular neuritis (VN), and Meniere's disease (MD) were defined based on diagnostic, treatment, or audiovestibular test codes. The seasonal incidence for each peripheral vestibular disorder was calculated among all study subjects.

Results

For the entire study cohort, the incidence of BPPV was significantly higher in spring (odds ratio [OR] = 1.031, 95% confidence interval [CI] = 1.026-1.037), autumn (OR = 1.024, 95% CI = 1.019-1.029), and winter (OR = 1.051, 95% CI = 1.046-1.056) than in summer. The incidence of VN was significantly lower in winter (OR = 0.917, 95% CI = 0.907-0.927) than in summer. The incidence of MD was significantly higher in spring (OR = 1.027, 95% CI = 1.015-1.039) and autumn (OR = 1.029, 95% CI = 1.017-1.041) and significantly lower in winter (OR = 0.919, 95% CI = 0.908-0.931) than in summer. Differences were also observed in seasonal variation based on sex and age.

Conclusions

Significant seasonal variation occurred in peripheral vestibular disorders including BPPV, VN, and MD based on the entire Korean population data. Furthermore, seasonal variation showed differences based on sex and age.

Level of Evidence

4.

Exposomic Signatures of Tinnitus and/or Hearing Loss

INTRODUCTION

We evaluated the risk factors associated with tinnitus and/or hearing loss (THL) among active duty (AD) members of the U.S. Army and Marine Aviation Community (AMAC) using an exposomic approach. Specifically, we aimed to determine the factors associated with the reported THL in the Military Health System.

METHODS

Longitudinal data were obtained from the Medical Assessment and Readiness System housed at Womack Army Medical Center, Fort Bragg, NC, for a retrospective cohort study that included 78,546 AD AMAC members from October 2015 to December 2019. Multivariable mixed-effects logistic regression was used to assess the relationship between THL and numerous variables to include rank, service time, deployment, tobacco use, alcohol use, age, gender, race, ethnicity, and body mass index.

RESULTS

Our analysis included a total of 220,044 person-years of observations. The THL incidence rate was 6.7 per 100 person-years, with an 8.1% period prevalence. THL was associated with age, gender, body mass index, race, deployment, service time, marital status, and tobacco use (all P < .05). Service time greater than 16 years had the greatest odds ratio of THL (4.46, 95% CI: 3.58-5.55, P < .001).

CONCLUSIONS

Our assessment shows the utility of using an exposomic approach to create member-specific personalized clinical algorithms for health outcomes. We examined individuals with THL diagnoses and identified a combination of risk factors from biomedical, lifestyle, environmental, and stochastic sources. Taken together, the risk factors identified across the four exposomic domains could help understand the etiology of THL. Our exposomic methodology could be the foundation for generating predictive models. Finally, a specific evaluation of occupational risk factors may provide insight into aspects not readily available from civilian literature. In upcoming years, as the Medical Assessment and Readiness System matures, we will expand our analyses to include prospective, untargeted metabolites and biomarker data.

Incidence of peripheral vestibular disorders based on population data of South Korea

BACKGROUND

There have been no comprehensive studies on the incidence of peripheral vestibular disorders based on population-based data for a long-term period.

OBJECTIVE

We investigated the incidence of peripheral vestibular disorders using population-based data representing the whole population of South Korea.

METHODS

This study used the National Health Insurance Service data in Korea from 2008 to 2020. Peripheral vestibular disorders such as benign paroxysmal positional vertigo (BPPV), vestibular neuritis (VN), and Meniere's disease (MD) were defined with diagnostic, treatment, or audiovestibular test codes. The annual incidence in total and according to sex, age, and residence was analyzed.

RESULTS

The annual incidence of BPPV, VN, and MD per 100,000 was 51.4, 22.7, and 12.4 in 2008 and 181.1, 62.9, and 50.5 in 2020, respectively. The incidence of each was significantly different by sex (p < 0.001), age (p < 0.001), and residence (p < 0.001), with the highest value in female, people aged 60 years or older, and people who resided in metropolitan cities.

CONCLUSIONS

The annual incidence of BPPV, VN, and MD had increasing trends from 2008 through 2020 in South Korea, and all were significantly higher in female, people aged 60 years or older, and people who resided in metropolitan cities.

Better Oral Hygiene Is Associated with a Decreased Risk of Meniere's Disease: A Nationwide Cohort Study

To investigate the association of the oral health parameters with Meniere’s disease in a nationwide population-based longitudinal cohort database. The data of the participants who underwent an oral health screening by dentists in 2003 (n = 2,415,963) were retrieved from the National Health Insurance Database of the Korean National Health Insurance Service. The main outcome was the occurrence of Meniere’s disease, defined as two or more claims of the diagnostic code H810 with a previous audiometric examination. The occurrence of Meniere’s disease was analyzed using a Cox proportional hazard model according to the presence of periodontitis and the oral health examination findings, including missing teeth, the frequency of tooth brushing and dental scaling. Overall, the analysis included 2,240,282 participants. During a median follow-up of 16.7 years, Meniere’s disease developed in 112,106 (5.0%) participants. Poor oral health status was characterized by the presence of periodontitis (adjusted hazard ratio [aHR]: 1.18, 95% confidence interval [CI]: 1.14−1.22, p < 0.001) and an increased number of missing teeth (≥15; aHR: 1.25, 95% CI: 1.18−1.32, p < 0.001) was associated with an increased risk of Meniere’s disease. Better oral hygiene behaviors, such as frequent tooth brushing (≥3 per day; aHR: 0.75, 95% CI: 0.73−0.76, p < 0.001) and dental scaling within 1 year (aHR: 0.98, 95% CI: 0.97−0.99, p = 0.003) were negatively associated with the occurrence of Meniere’s disease. The presence of periodontitis and an increased number of missing teeth may augment the risk of the occurrence of Meniere’s disease. However, maintaining good oral hygiene through tooth brushing and dental scaling may be associated with a decreased risk of Meniere’s disease. Further studies should confirm the association between oral health and Meniere’s disease.

Analysis and Dynamic Monitoring of Indoor Air Quality Based on Laser-Induced Breakdown Spectroscopy and Machine Learning

The air quality of the living area influences human health to a certain extent. Therefore, it is particularly important to detect the quality of indoor air. However, traditional detection methods mainly depend on chemical analysis, which has long been criticized for its high time cost. In this research, a rapid air detection method for the indoor environment using laser-induced breakdown spectroscopy (LIBS) and machine learning was proposed. Four common scenes were simulated, including burning carbon, burning incense, spraying perfume and hot shower which often led to indoor air quality changes. Two steps of spectral measurements and algorithm analysis were used in the experiment. Moreover, the proposed method was found to be effective in distinguishing different kinds of aerosols and presenting sensitivity to the air compositions. In this paper, the signal was isolated by the forest, so the singular values were filtered out. Meanwhile, the spectra of different scenarios were analyzed via the principal component analysis (PCA), and the air environment was classified by K-Nearest Neighbor (KNN) algorithm with an accuracy of 99.2%. Moreover, based on the establishment of a high-precision quantitative detection model, a back propagation (BP) neural network was introduced to improve the robustness and accuracy of indoor environment. The results show that by taking this method, the dynamic prediction of elements concentration can be realized, and its recognition accuracy is 96.5%.

Impact of Long-Term Exposure to Air Pollution on Cognitive Decline in Older Adults Without Dementia

Background: Air pollution control is necessary to decrease the burden on older adults with cognitive impairment, especially in low- and middle-income countries (LMICs). Objective: This study retrospectively examined the effect of cumulative exposure to air pollution, including NO2, SO2, CO, fine particulate matter (PM)10, PM2.5, and O3, on cognitive function in older individuals. Methods: Community-dwelling older adults who underwent the Mini-Mental State Examination (MMSE) from 2007 to 2018 were included in the analyses. We excluded older individuals diagnosed with dementia at baseline, while those who had completed more than two MMSE tests were included in the longitudinal analyses. Baseline MMSE and changes in MMSE scores were analyzed according to 5-year average concentrations of the district-level air pollutants, after controlling for covariates associated with cognitive decline in older adults. Results: In total, 884,053 (74.3±7.1 years; 64.1% females) and 398,889 (72.3±6.4 years; 67.0% females) older individuals were included in the cross-sectional and longitudinal analyses, respectively. Older individuals exposed to higher levels of NO2, SO2, CO, and PM10 showed lower baseline MMSE scores. During follow-up, exposure to higher levels of NO2, SO2, CO, and PM10 was associated with greater decreases in MMSE scores in older individuals; for O3, the opposite pattern was observed. Conclusion: Our findings suggest that exposure to high levels of air pollutants can worsen the cognitive performance of older adults without dementia. Efforts to reduce air pollution in LMICs that have similar levels of pollutants to South Korea are necessary to reduce the burden on older adults with cognitive impairment.

Association between Rheumatoid Arthritis and Meniere's Disease: A Longitudinal Follow-Up Study Using a National Health Screening Cohort

This study aimed to evaluate the impact of pre-existing rheumatoid arthritis (RA) on the occurrence of Meniere’s disease (MD). The 2002–2015 Korean National Health Insurance Service—Health Screening Cohort data were retrospectively analyzed. A total of 3038 participants with RA were matched with 12,152 control participants for demographic factors. The occurrence of MD was evaluated in both the RA and control groups. The hazard ratios (HRs) of RA for participants with MD were calculated using a stratified Cox proportional hazard model. Additionally, subgroup analyses were conducted. The rate of MD was not different between the RA and control groups (1.5% vs. 1.3%, standardized difference = 0.01). The HR was not higher in the RA group than in the MD group (adjusted HR = 1.03, 95% confidence interval = 0.73–1.44, p = 0.885). A higher HR of RA for participants with MD was found in the ≥60-year-old subgroup in the crude model but not in the adjusted model. An association between RA and MD was not found in any of the other subgroups. A previous history of RA was not related to an increased risk of MD.