Recognizing interaction between the environment and humans, the EIA(environmental impact assessment) movement has sought to promote more environmentally sound and informed decisions for the sake of human welfare. Therefore, most EIA programs require the consideration of human health impacts. Yet relatively few EIA documents adequately address those impacts. This study was carried out to investigate the role of EIA for reuniting the environment and human health, for preventing and reducing significant health risks, and for improving human health impact assessment by means of risk assessment. Risk assessment consists of 4 components; hazard identification, dose-response assessment, exposure assessment and risk characterization. Since most people spent their times in indoor, indoor air quality modelling can be used in exposure assessment and risk assessment. In this study, indoor $NO_2$ concentration and personal $NO_2$ exposure were estimated by Box Model using mass balance equation and time weighted average, respectively. The estimated indoor $NO_2$ concentration and the personal $NO_2$ exposure were compared by those measured, respectively. Subsequntly, health effect was assessed with these results. Consequently, exposure assessment and risk assessment using indoor air quality model may be considered to be applicable to EIA.
Kim, Hak-Joon;Sohn, Hae-Sook;Urm, Sang-Hwa;Park, Soo-Kyung;Yu, Byung-Chul;Lee, Jong-Tae;Chun, Jin-Ho
Journal of Preventive Medicine and Public Health
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v.33
no.1
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pp.17-24
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2000
Objectives : To propose the referential data to evaluate the health impacts of Vietnam veterans' children whose father were exposed to herbicides in Vietnam War. Methods : Vietnam veterans who visited to Pusan Veteran Hospital for medical care were recruited from April to October, 1998. They were 71 and asked about their own combat history, symptoms and illness, and health status of their 182 children. The informations were collected by direct and phone interview. Exposure estimation was also performed as exposure score depending on year and unit of participation, and personal episodes related to exposure to herbicide in the war. It classified into three groups; lower(<18.0), moderate(18-53), high$(\geq53)$ exposure group. Results : The mean age and the period into the combat of the veterans were 52.8 years and 15.0 months. The mean exposure score was $18.1{\pm}9.9$, and mainly distributed in lower (46.5%) and moderate(52.1%) exposure group. Most(90.1%) of them were diagnosed as sequelae(21 cases) and suspected sequelae(43 cases) of the herbicides by Korean veteran's hospital diagnostic criteria. The major sequelae was peripheral neuropathy 13 cases, chloracne 5 cases, and the major suspected sequelae was hypertension 20 cases, diabetes mellitus 18 cases, liver disease 12 cases, central neuropathy 11 cases, etc. About birth, 42.2% and 16.9% experienced spontaneous abortion and stillbirth, respectively. The mean exposure score was higher in stillbirth experience group(p<0.05). About half of the children(90 cases, 49.5%) hold the abnormal health status: those were skin pigmentation 38 cases, rash 23 cases, congenital anomaly 15 cases, general weakness 12 cases, purpura 8 cases, visual disturbance 8 cases, etc. These health problems had no association with father's exposure level(p>0.05). Conclusions : These results were depend on their own answers, and expectation for compensation did not excluded, therefore, this study may have limitations: inaccuracy of informations due to recall bias and response bias. Nevertheless, through this study, we could image the fundamental aspect for health impacts of Vietnam veterans' children for preparing the national control program and policy. A large scale epidemiologic study with valid exposure assessment on the health impacts of Vietnam veterans' children is recommneded.
As the first comprehensive attempt at a national implementation, this study aims at assessing the external costs of major electricity generation technologies in Korea, particularly an evaluation of the impacts on human health resulting from exposures to atmospheric radiological emissions from nuclear power plants, and a monetary quantification of their damages. The methodology used for the assessment of the externalities of the selected fuel cycles has been developed by the International Atomic Energy Agency (IAEA), namely the SimPacts Model Package. The model is internationally recognized as a tool which can be applied to a wide range of fuels, different technologies and locations, for an externalities study. In this study, the relevant emissions are quantified first and then their impacts on human health are evaluated and compared. The study focused on all the nuclear power plants for the last 6 years ($2001{\sim}2006$) in Korea. With respect to nuclear power, the impact analysis only focuses on a power generation, however the front- and back-end nuclear fuel cycles are not included, namely uranium mining, conversion, enrichment, reprocessing, conditioning, etc., because these facilities are not present in Korea. The analysis results show that nuclear power in general, generates low external costs. The highest damage costs from the nuclear power plants among the 4 sites in Korea were estimated to be 3.9 mills/MWh, which is about 1/20th of the result for a similar case study conducted in the U.K., implemented through the ExternE project. This difference is largely due to the number of radionuclides included in the study and the amount of released radioactive emissions based on up-to-date information in Korea. In this study, the sensitivities of the major factors for nuclear power plants were also calculated. The analysis indicates that there was around a ${\pm}3%$ damage costs variation to a ${\pm}15%$ change of the reference population density and a ${\pm}1%$ damage cost variation to a $1{\sim}30$ meters change of the effective release height, respectively. These sensitive calculations show that there is only a minor difference when the reference costs are compared.
The Journal of Korean Academic Society of Nursing Education
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v.20
no.2
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pp.192-202
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2014
Purpose: The purpose of this study was to identify the impacts of social support and acculturative stress on depression among Korean registered nurses in the United States. Method: In total, 137 nurses were recruited through direct interviews and online surveys. The data were collected through a structured questionnaire from June 1, to September 16, 2012, and analyzed using descriptive statistics, t-test, ANOVA, Scheff$\acute{e}$'s test, Pearson correlation coefficient, and stepwise multiple regression with SPSS WIN 14.0. Results: Social support significantly differed by the length of one's nursing career in US, monthly income and perceived health status. Acculturative stress significantly differed by the length of one's nursing career in US and types of employment setting. Depression significantly differed by the total length of one's nursing career, type of employment setting, and perceived health status. Moreover, Depression was negatively correlated with social support; positively correlated with acculturative stress; social support was negatively correlated with acculturative stress. Factors influencing depression were acculturative stress, perceived health status, and social support, which explained about 23% of the total variance. Conclusion: These results suggest that an adaptation program that decreases acculturative stress and improves social support should be developed and implemented for Korean nurses to help them successfully integrate into the healthcare system of new country.
Caring for patients with cancer is highly stimulating and rewarding, attracting health professionals to the field who enjoy the challenge of managing a complex illness. Health professionals often form close bonds with their patients as they confront ongoing disease or treatment impacts, which may be associated with multiple losses involving function and/or eventual loss of life. Ongoing exposure to patient loss, along with a challenging work setting, may pose significant stress and impact health professionals' well-being. The prevalence rates of burnout and compassion fatigue (CF) are significant, yet health professionals have little knowledge on these topics. A 6-week continuing education program consisting of weekly small-group video-conferencing sessions, case-based learning, and an online community of practice was delivered to health care providers providing oncology care. Program content included personal, organization and team-related risk and protective factors associated with CF, grief models, and strategies to mitigate against CF. Content analysis was completed as part of the program evaluation. In total, 189 participants (93% nurses) completed the program, which was associated with significant improvements in confidence and knowledge of CF and strategies to support self and team resilience. Qualitative themes and vignettes from experiences with the program are presented. Key themes included knowledge gaps, a lack of support related to CF and strategies to support resilience, organization-and team-based factors that can inhibit expression about the impacts of clinical work, the health professional as a "person" in caregiving, and the role of personal variables, self-skill practices, and recommendations for education and support for self and teams.
Journal of Korean Society of Occupational and Environmental Hygiene
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v.34
no.2
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pp.134-138
/
2024
The rapid advancement of technologies within the Fourth Industrial Revolution is expected to bring significant changes to the work environment across industries. While automation and digitalization not only enhance productivity but also health and safety, they also pose new health risks such as isolation, technostress, and musculoskeletal disorders. The rise of remote work and platform labor necessitates strengthening social protections for workers' health rights. To ensure that technological progress leads to better worker health, proactive and comprehensive occupational health policies are essential. Cultivating interdisciplinary expertise in occupational health professionals is also crucial. Industrial hygienists can play a pivotal role in assessing and managing the health impacts of technological changes, as well as bridging the gap between innovation and worker well-being.
The objectives of this study were to identify multi-level stressors from blood biomarkers to community-level bioindicators and diagnose the stream ecosystem health in polluted streams. Blood chemistry such as total protein ($T_{Pro}$), blood urea nitrogen ($B_{UN}$), total cholesterol ($T_{Cho}$) and $A_{lb}$umin ($A_{lb}$) were analyzed from sentinel fish tissues; the functions of kidney, gill and liver were significantly decreased in the impacted zone ($I_z$), compared to the control zone ($C_z$). Histopathological analysis showed that fish liver tissues were normal in the $C_z$. Fish liver tissues in the $I_z$, however, showed large cell necrosis and degeneration and also had moderate lobular inflammation and inflammatory cell infiltration of lymphocytic histocytes. Species biotic index (SBI) at species level and stream health assessment (SHA) at community level indicated that chemical impacts were evident in the $I_z$ (ecological health; poor - very poor), and this was matched with the blood tissue analysis and histopathological analysis. The impairments of the streams were supported by water chemistry analysis (nitrogen, phosphorus). Tolerance guild analysis and trophic guild analysis of fish were showed significant differences (P < 0.01) between $C_z$ and $I_z$. Overall, multiple parameter analysis from biomarker level (blood tissues) to bioindicator level (community health) showed significantly greater impacts in the $I_z$ than $C_z$. This approach may be effective as a monitoring tool in identifying the multilateral and forthcoming problems related to chemical pollution and habitat degradation of stream ecosystems.
Purpose: The purpose of this study is to investigate the effect of work environment on health problems of nurses. Methods: The subjects of the study were 395 nurses who were wage workers among KWCS (Korean Working Conditions Survey) respondents in 2014. The work environments were measured by the KWCS questionnaire. Results: 48.5% of the 395 nurses had health problems. The prevalence of musculoskeletal diseases (34.7%) was the highest among all health problems. The ergonomic work environment was significantly related to musculoskeletal disorders, headache and eye strain, and fatigue. In addition, the increase in work-individual interface area was significantly related to fatigue. Conclusion: The work environment of nurses affects health problems. It is therefore important to develop strategies that improve the health problems of nurses by reducing ergonomic and psycho-social risk factors.
Improving mental health and reducing the burden of mental illness are complementary strategies which, along with the treatment and rehabilitation of people with mental disorders, significantly improve population health and well-being. A Institute of Medicine report describes a range of interventions for mental disorders that included treatment and maintenance, reserving the term "prevention" for efforts that occur before onset of a diagnosable disorder. Mental health problems affect 10-20% of children and adolescents worldwide. Despite their relevance as a leading cause of health-related disability and their long lasting consequences, the mental health needs of children and adolescents are neglected. Early intervention can help reduce the significant impacts that children and adolescents with serious mental health problems may experience. Screening is the first step in early intervention, recognizing emotional and behavioral problems and providing help at an early stage. It is essential to implement early intervention in a sensitive and ethical manner to avoid any of the negative outcomes.
Everyone is aware that air and environmental pollutants are harmful to health. Among them, indoor air quality directly affects physical health, such as respiratory rather than outdoor air. However, studies that have examined the correlation between environmental and health information have been conducted with public data targeting large cohorts, and studies with real-time data analysis are insufficient. Therefore, this research explores the research with an indoor air quality monitoring (AQM) system based on developing environmental detection sensors and the internet of things to collect, monitor, and analyze environmental and health data from various data sources in real-time. It explores the usage of wearable devices for health monitoring systems. In addition, the availability of big data and artificial intelligence analysis and prediction has increased, investigating algorithmic studies for accurate prediction of hazardous environments and health impacts. Regarding health effects, techniques to prevent respiratory and related diseases were reviewed.
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