Wanhyung Lee

Dr. Wanhyung Lee

Department of Occupational and Environmental Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Republic of Korea
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in Yonsei Medical Journal
Verified
Journal Article
Open access
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TYTae Keun Yoo
Tae Keun Yoo
SKSung Kean Kim
Sung Kean Kim
DKDeok Won Kim
Deok Won Kim
JCJoon Yul Choi
Joon Yul Choi
Wanhyung LeeWanhyung Lee
Wanhyung Lee
Eun-Cheol ParkEun-Cheol Park
Eun-Cheol Park
Yoo TK, et al. Yonsei Med J. 2013 Nov;54(6):1321-1330. https://doi.org/10.3349/ymj.2013.54.6.1321

18 February 2019 in Orphanet Journal of Rare Diseases
Verified
Journal Article
Open access
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SLSung-Shil Lim
Sung-Shil Lim
Wanhyung LeeWanhyung Lee
Wanhyung Lee
YKYeong-Kwang Kim
Yeong-Kwang Kim
JKJihyun Kim
Jihyun Kim
JPJong Heon Park
Jong Heon Park
JYJin-Ha Yoon
Jin-Ha Yoon
The burden of rare diseases on society and patients’ families has increased in Korea. However, because of the infrequency of rare diseases, there is a lack of resources and information to address these cases and inadequate funding for the management of these patients. We investigated the average annual cumulative incidence of rare diseases and the trends in annual cumulative incidence from 2011 to 2015 in Korea by using nationwide administrative data from the Korean National Health Insurance Service (NHIS) database for patients registered with the co-payment assistance policy for rare and incurable diseases. Annual cumulative incidence per 10,000,000 was calculated as the total number of newly enrolled patients with the Korean Standard Classification of Diseases (KCD)-7 code in the register, divided by the number of residents with health insurance coverage during each year. We employed simple linear regression analysis to evaluate the trends in annual cumulative incidence/10,000,000 population per year for each rare disease. Overall, national support was provided for patients with 415 KCD codes listed among the targeted rare diseases. The total number of newly enrolled patients with rare diseases was 53,831 in 2011, 52,658 in 2012, 52,955 in 2013, 71,530 in 2014, and 70,559 in 2015. The number of rare diseases with an average annual cumulative incidence of 100/10,000,000 and above was 22 (5.30%), while there were 227 (54.70%) and 148 (35.66%) with an average cumulative incidence between 1/10,000,000 and 100/10,000,000 and less than 1/10,000,000, respectively. The trends in the annual cumulative incidence for 43 rare diseases were statistically significant (p-value < 0.05). The rare diseases for which the incremental trend per year was statistically significant were sarcoidosis (D86, D86.0, D86.1, D86.2, D86.3, D86.8, D86.9), Parkinson’s disease (G20), Guillain-Barré syndrome (G61.0), primary biliary cirrhosis (K74.3) and Sjogren’s syndrome (M35.0). The number of rare diseases showing an increasing trend in annual cumulative incidence was higher than the number of diseases showing a decreasing trend in annual cumulative incidence. Given that the definition and diagnosis vary based on country and that there is difficulty in identifying valid cases, further detection strategies are needed to establish the incidence of each rare disease considering the importance of establishing a health policy based on the actual incidence of the targeted diseases.

1 November 2015 in Sleep Medicine
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Journal Article
Closed access
Wanhyung LeeWanhyung Lee
Wanhyung Lee
SLSung-Shil Lim
Sung-Shil Lim
JWJong-Uk Won
Jong-Uk Won
JRJaehoon Roh
Jaehoon Roh
JLJune-Hee Lee
June-Hee Lee
JYJin-Ha Yoon
Jin-Ha Yoon

21 August 2014 in PLOS ONE
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Journal Article
Open access
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JYJin-Ha Yoon
Jin-Ha Yoon
JWJong-Uk Won
Jong-Uk Won
Wanhyung LeeWanhyung Lee
Wanhyung Lee
PJPil Kyun Jung
Pil Kyun Jung
JRJaehoon Roh
Jaehoon Roh
Noise, or undesirable sound, is one of the most common environmental stressors, and it can cause various health effects. Beyond the auditory consequences of occupational noise exposure, extra-auditory effects such as psychological problems have also been found. The aim of the current study is to elucidate the association between occupational noise annoyance and psychological symptoms, including symptoms of depression and suicidal ideation. A total of 10,020 participants (5,410 men and 4,610 women) were included in the current analysis, using data from the fourth Korean National Health and Nutrition Examination Survey (KNHANES). Self-report questionnaires were used to assess noise annoyance levels, depressive symptoms, and suicidal ideation. Odds ratios (ORs) and 95% confidence intervals (95% CIs) for psychosocial symptoms were calculated using multiple logistic regression models. Compared to the no noise annoyance group, ORs (95% CI) of the severe annoyance groups were 1.58 (1.12–2.23) and 1.76 (1.29–2.40) in men and 1.49 (1.05–2.11) and 1.41 (1.01–1.97) in women for depressive symptoms and suicidal ideation, respectively. The ORs (95% CI) for severe noise annoyance in those with less than five hours of sleep were 2.95 (1.46–5.96) and 2.05 (1.01–4.16) in men and women, respectively, compared with those with no noise annoyance and a sleep time of more than five hours. Our study shows that occupational noise annoyance is significantly related to mental health, including depressive symptoms and suicidal ideation after controlling for individual and socio-demographic characteristics even with gender stratification. However, prospective studies with quantified noise exposure assessment were needed to elucidate the causality on the association between noise annoyance and psychological symptoms.

15 June 2017 in BMC Public Health
Verified
Journal Article
Open access
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SCSoo Beom Choi
Soo Beom Choi
Wanhyung LeeWanhyung Lee
Wanhyung Lee
JYJin-Ha Yoon
Jin-Ha Yoon
JWJong-Uk Won
Jong-Uk Won
DKDeok Won Kim
Deok Won Kim
Suicide is a serious public health concern worldwide, and the fourth leading cause of death in Korea. Few studies have focused on risk factors for suicide attempt among people with suicidal ideation. The aim of the present study was to investigate the risk factors and develop prediction models for suicide attempt among people with suicidal ideation in the Korean population. This study included 1567 men and 3726 women aged 20 years and older who had suicidal ideation from the Korea National Health and Nutrition Examination Survey from 2007 to 2012. Among them, 106 men and 188 women attempted suicide. Multivariate logistic regression analysis with backward stepwise elimination was performed to find risk factors for suicide attempt. Sub-group analysis, dividing participants into under 50 and at least 50 years old was also performed. Among people with suicidal ideation, age, education, cancer, and depressive disorder were selected as risk factors for suicide attempt in men. Age, education, national basic livelihood security, daily activity limitation, depressive disorder, stress, smoking, and regular exercise were selected in women. Area under curves of our prediction models in men and women were 0.728 and 0.716, respectively. It is important to pay attention to populations with suicidal ideation and the risk factors mentioned above. Prediction models using the determined risk factors could be useful to detect high-risk groups early for suicide attempt among people with suicidal ideation. It is necessary to develop specific action plans for these high-risk groups to prevent suicide.

22 March 2021 in Reviews on Environmental Health
Verified
Journal Article
Closed access
JLJunhyeong Lee
Junhyeong Lee
YLYong Ho Lee
Yong Ho Lee
WCWon-Jun Choi
Won-Jun Choi
SHSeunghon Ham
Seunghon Ham
Seong-Kyu KangSeong-Kyu Kang
Seong-Kyu Kang
Wanhyung LeeWanhyung Lee
Wanhyung Lee
Objectives: Several studies on the health effects of heat exposure on workers have been reported; however, only few studies have summarized the overall and systematic health effects of heat exposure on workers. This study aims to review the scientific reports on the health status of workers exposed to high temperatures in the workplace. Methods: We reviewed literature from databases such as PubMed and Google Scholar, using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to identify studies that address health effects of heat exposure among workers. Results: In total, 459 articles were identified, and finally, 47 articles were selected. Various health effects of heat exposure on workers have been reported, such as heat-related diseases, deaths, accidents or injuries, effects on the urinary system, reproductive system, and on the psychological system. Conclusions: Our review suggests that many workers are vulnerable to heat exposure, and this has a health effect on workers.