• Title/Summary/Keyword: Human health risk

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Pesticides Residue Monitoring and Impact Evaluation of Golf Course and Neighbouring Area in Korea (국내 골프장농약 사용에 따른 골프장 및 인근 지역의 잔류농약 모니터링 조사를 통한 영향평가)

  • Lee, Jun-Bae;Cho, Hoon-Je;Kwak, Eun-Jie;Park, Kyoung-Hoon;Lee, Min-Keong;Kim, Hyun-Koo;Jeoung, Hyeon-Mi;Chang, Hee-Ra
    • Korean Journal of Environmental Agriculture
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    • v.37 no.4
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    • pp.277-282
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    • 2018
  • BACKGROUND: At these days, the human health and environmental concerns of pesticide used for turf grass management at golf courses in Korea have increased. The objectives of the study were to determine the pesticide residues for golf course and neighboring area and evaluate the impact moved into neighboring area of pesticides treated at golf courses. METHODS AND RESULTS: Three golf courses and neighboring areas in Korea were monitored from July to October, 2017. The soil sample collection was divided the golf course into its logical parts (such as a greens, fairways, and rough) and neighboring area soil samples were collected at three different points. The water samples of the golf course and neighboring area were collected at three different points, respectively. The pesticide residues for soil and water sample were monitored by the multi-residue screening method of 98 pesticide with HPLC-MS-MS. The concentrations of detected pesticide in soil and water samples of the golf course were in the range of 0.01~1.26 mg/kg and 0.0001~0.0089 mg/kg, respectively. The residue levels for detected pesticides in neighboring area were at 0.01~0.04 mg/kg and 0.0001~0.0029 mg/kg, respectively, well below those level in golf course. CONCLUSION: This study indicate that the pesticide residue levels of golf course and neighboring area in Korea may not a possible risk of exposure on soil and aquatic environment. For future work, more monitoring should be performed so that the evaluation data becomes more valid.

Investigation of Residual Organochlorine Pesticides in Apple and Pear Orchard Soil and Fruit (사과 및 배 과수원의 토양 및 과실 중 잔류성유기염소계 농약류 잔류량 조사)

  • Lim, Sung-Jin;Park, Jeong-Hwon;Ro, Jin-Ho;Lee, Min-Ho;Yoon, Hyo-In;Choi, Geun-Hyoung;Ryu, Song-Hee;Yu, Hye-Jin;Park, Byung-Jun
    • Korean Journal of Environmental Agriculture
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    • v.38 no.2
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    • pp.110-118
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    • 2019
  • BACKGROUND: Residual organochlorine pesticides (OCPs) are designated as persistent organic pollutants (POPs) by Stockholm Convention because they bioaccumulate through the food web, and pose a risk of causing adverse effect to human health and the environment. Apple and pear is economic crop in agriculture, and its cultivation area and yield has been increased. Therefore, we tried to investigate the OCPs residue in apple and pear orchard soils and fruits. METHODS AND RESULTS: Extraction and clean-up method were developed using the modified QuEChERS method for residual organochlorine pesticides (ROCPs) in apple and pear orchard soil and fruits. Recovery and limit of quantitation (LOQ) of ROCPs in soil and fruits were 75.4-101.4 and 76.9-93.4%, 0.03-0.21 and $0.6-1.2{\mu}g/kg$, respectively. Detected ROCPs in apple and pear orchard soil was 2,4-DDT, 4,4-DDD, 4,4-DDE, 4,4-DDT, and endosulfan sulfate, the residues were 2.2, 1.9-48.0, 1.3-84.1, 90.6-863.1, and $11.3-239.0{\mu}g/kg$, respectively. But five pesticides in all fruit samples were not detected. CONCLUSION: These results showed that ROCPs residues in apple and pear orchard soil had no effect on safety of agricultural products.

Understanding and Prevention of Fall-related Injuries in Older Adults in South Korea: A Systematic Review (한국 노인의 넘어짐과 연계된 인체손상에 대한 이해와 예방: 체계적 문헌 고찰)

  • Lim, Ki-taek;Lee, Ji-eun;Park, Ha-eun;Park, Su-young;Choi, Woochol Joseph
    • Physical Therapy Korea
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    • v.26 no.2
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    • pp.34-48
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    • 2019
  • Background: Fall-related injuries in older adults are a major health problem, and the risks and mechanisms of these injuries should be affected by race, culture, living environment, and/or economic status. Objects: Research articles have been systematically reviewed to understand fall-related injuries in older adults in South Korea. Methods: 128 published research papers have been found through the Korea Citation Index and the Korean Studies Information Service System, and reviewed in various perspectives, including incidents, fall death rates, medical costs, causes, injury sites and types, locations where falls occurred, prevention strategies, scholarly fields interested in fall injuries, and the role of physical therapy. Results: Fall-related injuries were found to be more common in women than in men, and the number of incidents increased with age, with the highest rate found in individuals over 85 years old. Risk of fall injury was associated with education level, comorbidities, and fear of falling. Common places where falls occurred included the bathroom, living room, stairs, and hallway. Common types of injury included bruises, fractures, and sprains in the lower extremities. Intervention strategies included exercise programs, education, and protective clothing. Scholarly fields interested in fall-related injuries in older adults included medicine, nursing, physical therapy, occupational therapy, physical education, pharmacology, oriental medicine, biomedical engineering, design, clothing, and textiles. Physical therapy intervention using proprioceptive neuromuscular facilitation has been used to improve one's balance. Conclusion: Any movement during the activities of daily living can lead to a fall. Physical therapists are highly educated to analyze human movements and should be involved in more research and practices to solve fall-related injuries in older adults.

The Impacts of Particulate Matter on Urban Activities in Jongno-Gu, Seoul (미세먼지가 도시민의 활동에 미치는 영향 - 서울시 종로구를 대상으로 -)

  • Moon, Hyeong-joo;Song, Jaemin
    • Journal of the Korean Regional Science Association
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    • v.37 no.1
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    • pp.29-44
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    • 2021
  • Particulate matter(PM) is one of the leading causes of lung cancer. Recognizing its considerable risk to human health, people change their behaviors when a concentration level of PM is high. The impact of particulate matter on urban activities may vary depending on the lasting days of PM and PM matter alerts. In addition, the level of averting behavior may vary depending on the types and physical characteristics of urban activities and the degree of vulnerability to PM among people. Although the way people respond to PM may vary depending on these various factors, previous research evidence on this is very insufficient. Therefore, this study multilaterally analyzed the impact of PM on the urban activities in Jongno-gu, one of the CBD areas of Seoul. For this, we linked SKT's mobile phone signal data to land use data to extract the daily number of active people by urban activity types and ages. According to multiple regression analysis, the averting behavior varies depending on the type of urban activity, the physical characteristics of the place of activity(inside and outdoor), the lasting days of PM, PM alerts and the age of people. The results of this study can be used as basic data to policy makers who establish policies for adapting to air pollution policies by providing various effects of PM on the urban activities.

Predicting the Fetotoxicity of Drugs Using Machine Learning (기계학습 기반 약물의 태아 독성 예측 연구)

  • Myeonghyeon Jeong;Sunyong Yoo
    • Journal of Life Science
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    • v.33 no.6
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    • pp.490-497
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    • 2023
  • Pregnant women may need to take medications to treat preexisting diseases or diseases that develop during pregnancy. However, some drugs may be fetotoxic and lead to, for example, teratogenicity and growth retardation. Predicting the fetotoxicity of drugs is thus important for the health of the mother and fetus. The fetotoxicity of many drugs has not been established because various challenges hinder the ability of researchers to determine their fetotoxicity. The need exists for in silico-based fetotoxicity assessment models, as they can modernize the testing paradigm, improve predictability, and reduce the use of animals and the costs of fetotoxicity testing. In this study, we collected data on the fetotoxicity of drugs and constructed fetotoxicity prediction models based on various machine learning algorithms. We optimized the models for more precise predictions by tuning the hyperparameters. We then performed quantitative performance evaluations. The results indicated that the constructed machine learning-based models had high performance (AUROC >0.85, AUPR >0.9) in fetotoxicity prediction. We also analyzed the feature importance of our model's predictions, which could be leveraged to identify the specific features of drugs that are strongly associated with fetotoxicity. The proposed model can be used to prescreen drugs and drug candidates at a lower cost and in less time. It provides a predictive score for fetotoxicity risk, which may be beneficial in the design of studies on fetotoxicity in human pregnancy.

Class Classification and Validation of a Musculoskeletal Risk Factor Dataset for Manufacturing Workers (제조업 노동자 근골격계 부담요인 데이터셋 클래스 분류와 유효성 검증)

  • Young-Jin Kang;;;Jeong, Seok Chan
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.49-59
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    • 2023
  • There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.

Water intake and oral disease symptoms in adolescents : a cross-sectional study conducted in Korea in 2021 (우리나라 청소년의 수분 섭취에 따른 구강질환 증상 : 2021년 청소년온라인행태조사 자료를 이용한 단면연구)

  • So-Yeong Kim;Sun-A Lim
    • Journal of Korean society of Dental Hygiene
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    • v.23 no.5
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    • pp.343-350
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    • 2023
  • Objectives: Water constitutes a majority of the human body and is essential for health. In addition, water intake can prevent dental caries by improving salivary lubrication and self-cleaning. This study aimed to determine the relationship between the amount of daily water intake and the symptoms of oral disease in Korean adolescents. Methods: We used data from the Korea Youth Risk Behavior Web-based Survey (KYRBS), conducted in Korea in 2021, and identified the relationship between daily water intake and oral disease symptoms in Korean adolescents. KYRBS is a nationwide cross-sectional survey conducted by the Korea Disease Control and Prevention Agency (KDCA), and a total of 54,848 participants were included in this study. Results: After adjusting for confounding factors, logistic regression analysis showed that tooth pain was more often experienced by those who drank less than two cups of water per day (odds ratio [OR]: 1.14; 95% confidence interval [CI]: 1.01-1.30) than those who drank five or more cups of water per day. Conclusions: A low daily water intake is associated with tooth pain, a symptom of dental caries. The results of our study suggest that increasing water intake may reduce dental caries. Therefore, adequate water intake may help prevent dental caries.

A Study on the Development of integrated Process Safety Management System based on Artificial Intelligence (AI) (인공지능(AI) 기반 통합 공정안전관리 시스템 개발에 관한 연구)

  • KyungHyun Lee;RackJune Baek;WooSu Kim;HeeJeong Choi
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.403-409
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    • 2024
  • In this paper, the guidelines for the design of an Artificial Intelligence(AI) based Integrated Process Safety Management(PSM) system to enhance workplace safety using data from process safety reports submitted by hazardous and risky facility operators in accordance with the Occupational Safety and Health Act is proposed. The system composed of the proposed guidelines is to be implemented separately by individual facility operators and specialized process safety management agencies for single or multiple workplaces. It is structured with key components and stages, including data collection and preprocessing, expansion and segmentation, labeling, and the construction of training datasets. It enables the collection of process operation data and change approval data from various processes, allowing potential fault prediction and maintenance planning through the analysis of all data generated in workplace operations, thereby supporting decision-making during process operation. Moreover, it offers utility and effectiveness in time and cost savings, detection and prediction of various risk factors, including human errors, and continuous model improvement through the use of accurate and reliable training data and specialized datasets. Through this approach, it becomes possible to enhance workplace safety and prevent accidents.

Associations of serum 25(OH)D levels with depression and depressed condition in Korean adults: results from KNHANES 2008-2010 (한국 성인의 혈청 25(OH)D 수준과 우울증 및 우울증상 경험과의 연관성: 국민건강영양조사 2008-2010 분석 결과)

  • Koo, Sle;Park, Kyong
    • Journal of Nutrition and Health
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    • v.47 no.2
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    • pp.113-123
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    • 2014
  • Purpose: Vitamin D has been known to play an important role in the central nervous system and brain functions in the human body, and cumulative evidence has shown that vitamin D deficiency might be linked with various mental health conditions. Epidemiologic studies have shown that vitamin D deficiency may be associated with higher risk of depression in the US and European populations. However, limited information is available regarding the association between vitamin D status and depression in the Korean population. The objective of this study was to examine the associations between vitamin D levels and prevalence of depression. Methods: We conducted a cross-sectional analysis using nationally representative data from the 2008-2010 Korean National Health and Nutrition Examination Survey from which serum 25-hydroxyvitamin D concentrations were available. A total of 18,735 adults who had available demographic, dietary, and lifestyle information were included in our analysis. We defined "depression" with a diagnosis by a physician. "Depressed condition" was defined as having feelings of sadness or depression without diagnosis by a physician. Results: The prevalence of depression was 1.63% and 5.43% in Korean men and women, respectively; 12.5% of men and 26.1% of women were defined as the group having depressed conditions. In multivariate logistic regression models, no significant associations were observed between vitamin D status and prevalence of depression or depressed conditions in Korean men and women. Conclusion: We found no association between vitamin D insufficiency and depression/depressed conditions in Korean adults. Future large prospective studies and randomized controlled trials are needed to confirm this relationship.

Analysis of Physical Status on COVID-19: Based on Impacts of Physical Activity (COVID-19에 대한 운동중재효과 분석)

  • Kim, Kwi-Baek;Kwak, Yi Sub
    • Journal of Life Science
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    • v.31 no.6
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    • pp.603-608
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    • 2021
  • The purpose of this perspective research is to discuss the potential role of exercise-interventions in COVID-19, terms of prevention and prognosis in the periods of the COVID-19 vaccine. SARCO-CoV-2. COVID-19 was detected as a new virus causing severe cardiovascular and respiratory complications. It emerged as a global public health emergency and national pandemic. It caused more than 1 million deaths in the first 6 months of the pandemic and resulted in huge social and economic fluctuations internationally. Unprecedented stressful situations, such as COVID-19 blue and COVID-19 red impact on many health problems. In healthy individuals, COVID-19 infection may induced no symptoms (i.e., asymptomatic), whereas others may experience flu-like symptoms, such as ARDS, pneumonia, and death. Poor health status, such as obesity and cardiovascular and respiratory complications, are high risk factors for COVID-19 prevention, occurrence, and prognosis. Several COVID-19 vaccines are currently in human trials. However, the efficacy and safety of COVID-19 vaccines, including potential side effects, such as anaphylaxis (a life-threatening allergic reaction) and rare blood clots, still need to be investigated. On the basis of direct and indirect evidence, it seems that regular and moderate physical exercise can be recommended as a nonpharmacological, efficient, and safe way to cope with COVID-19. Physical inactivity and metabolic abnormalities are directly associated with reduced immune responses, including reduced innate, CMI, and AMI responses. Due to prolonged viral shedding, quarantine in inactive, obese and disease people should likely be longer than physical active people. Multicomponent and systemic exercise should be considered for the obese, disease, and elderly people. More mechanism research is needed in this area.