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외국인 근로자의 건강증진행위 구조모형: 거주기간별 다중집단분석
정한나(Jeong, Hanna),김영숙(Kim, Youngsuk) 한국간호과학회 2024 Journal of Korean Academy of Nursing Vol.54 No.1
Purpose: This study developed and tested a hypothetical model of health promotion behavior on migrant workers based on the Health Promotion Model and the Health Literacy Skills Framework. Methods: Data were collected from 298 migrant workers in 9 regions across the country from December 2020 to March 2021. The exogenous variables were e-health literacy, occupational stress, acculturation, and social support. The endogenous variables were perceived benefits of action, self-efficacy, and health promotion behavior. Data were analyzed using SPSS/WIN 25.0, AMOS 20.0, and R-4.0.3 program. Results: The model fit was appropriate. Social support had the most significant direct impact on the health promotion behavior of migrant workers. Perceived benefits of action and self-efficacy played a mediating role in the relationship among e-health literacy, social support, and health promotion behavior. Based on multi-group analysis, the migrant worker group with less than 5 years of residency had a more statistically significant effect on the relationship between perceived benefits of action and health promotion behavior than those with over 5 years. Conclusion: Providing social support as a critical administrative strategy to enhance the health promotion behavior of migrant workers is necessary. Furthermore, when developing an intervention program utilizing the internal mechanism between social support and health promotion behavior, a self-efficacy-enhancing strategy is considered to be more effective. Additionally, educating migrant workers with short-term residence of less than 5 years about the benefits of health behaviors is essential.
정한나 ( Hanna Jeong ),박진선 ( Jinseon Park ),이세연 ( Seyeon Lee ),홍세운 ( Se-woon Hong ) 한국농공학회 2020 한국농공학회 학술대회초록집 Vol.2020 No.-
국내에서 발생하는 연간 11만 톤의 미세먼지 (PM<sub>10</sub> 이하) 중 약 9.3%인 1만 톤이 축산활동에서 배출되는 것으로 나타나며, 초미세먼지 (PM<sub>2.5</sub>)는 약 2%가 축산활동에서 기인하는 것으로 알려져 있다. 특히 축산시설이 밀집된 전라북도의 경우 PM<sub>2.5</sub> 3,300톤 중 약 9%인 280 톤이 축산활동에서 배출되는 것으로 나타나 미세먼지의 배출원으로서 축산시설에 대한 인식이 증가하고 있다. 이러한 추정값은 암모니아에 의한 2차 초미세먼지의 생성에 따른 간접 배출량을 간과하고 있으므로 이를 포함할 경우 그 영향력은 더 클 것으로 예상된다. 한편, 현재 이러한 추정값은 실측을 기반으로 산정되지 않고 해외의 축산 시설 배출계수 자료를 참고하여 산출된 값으로서 국내 축산 시설의 미세먼지 및 암모니아 배출 계수와는 차이가 있다는 인식이 지배적이다. 국내에서는 아직 다양한 축산 시설에서 발생하는 미세먼지의 배출계수 및 암모니아의 초미세먼지 전환 기작과 기여율에 대하여 정량적으로 규명된 바가 없으며, 이에 따라 축산 시설에 의한 국내 미세먼지 기여도를 정확히 추정하기 어려우며 효과적인 미세먼지 관리대책을 수립하는데 한계가 있다. 따라서 본 연구의 목적은 축산시설 중 양돈시설에서 발생하는 미세먼지와 암모니아의 발생 및 배출 특성을 측정하여 국내 양돈 시설에서의 배출 계수를 산정하는데 있다. 현장 실험은 현대식 양돈 시설을 선정하여 수행되었으며, 환기 배출구에서 미세먼지와 암모니아의 농도 및 환기량을 실측하였다. 측정된 배출계수는 사육 일령 (자돈, 육성돈, 비육돈), 계절 (봄, 여름, 가을), 및 기온과 습도 등의 환경인자에 따라 비교 분석하였다. 추가적으로 돈사 내부에 카메라를 설치하여 동물의 움직임에 따른 미세먼지와 암모니아의 배출 특성 변화를 측정하였으며, 미세먼지의 경우 동물의 활동성과 매우 밀접한 관련이 있는 것으로 측정되었다. 본 연구의 결과는 축산 시설에서 발생 가능한 미세먼지와 암모니아의 배출량을 돼지의 일령별, 기상조건별, 동물의 활동성 등의 다양한 환경조건에 따라 정량적으로 산출할 수 있는 배출모형 및 인벤토리를 제공함에 따라 축산 미세먼지와 암모니아 배출량을 제어하기 위한 주요 인자를 선별하여 제공하고 기술 개발의 기초자료를 확보하는데 활용될 수 있다.
S-317 Influence of Additional Ballooning after Stent Implantation in Acute Myocardial Infarction.
( Hanna Joung ),( Ju Yeol Baek ),( Yong Mo Yang ),( Won Ik Lee ),( Seung-woon Rha ),( Byoung Geol Choi ),( Seung Won Jin ),( Byung Ryul Cho ),( Moo Hyun Kim ),( Doo-il Kim ),( Myung-ho Jeong ),( Sang 대한내과학회 2016 대한내과학회 추계학술대회 Vol.2016 No.1
Objective:?Most studies evaluating the benefit and risk of additional ballooning after stent implantation have involved patients with stable angina. However, it may be questionable in the context of patients presenting with acute myocardial infarction (AMI). We evaluated the clinical outcomes of additional ballooning after stent implantation in the patients who underwent AMI. Methods:?A total of 1618 AMI patients in the Korea TRI registry, a retrospective multicenter registry with 4890 patients who underwent percutaneous coronary intervention in 2009 at 12 centers were grouped according to performing additional ballooning (AB; N=814) and non-additional ballooning (Non-AB; N=804) after stent implantation. We compared TLR MACE at 12 month follow up, defined as total mortality, any myocardial infarction (MI), target vessel revascularization (TVR) between two groups.?Results:?After adjustment using 1:1 propensity score stratification, the incidence of TVR MACE at 12 month follow up was similar between both groups. However AB group had higher mortality (5.0% vs 2.4%; hazard ratio 2.15; 95% confidence interval 1.01 to 4.57; p=0.046) and the incidence of myocardial infarction (0.9% vs 1.6%; p=0.363) and TVR (3.8% vs 5.7%; p=0.195) were similar between two groups.?Conclusions: In patients with AMI, clinical result of AB after stent implantation could be similar with it of Non-AB in the 12month TVR MACE. However AB could be associated with significantly higher total mortality at 12 month follow up.
Phytochemical constituents from the leaves of Sageretia theezans Brongn
Hanna Cha,Yeon Woo Jung,Wonsik Jeong,Ji Eun Lee,Dong Woo Han,Gwang Hun Park,Youngki Park,Sang-Hyun Koh,Chun Whan Choi,Seong Su Hong 한국분석과학회 2021 학술대회논문집 Vol.2021 No.11
Sageretia theezans, commonly known as Chinese bird plum, is an evergreen tender shrub of the Rhamnaceae family. In Korea, it grows along the southern seashore areas, and traditionally the leaves have been used as tea materials. Although S. theezans is widely used to create bonsais, it has been used in traditional herbal medicine for the treatment of hepatitis and fevers in Korea and China. S. theezans has been reported to show various pharmacological activities for neuroprotective, hepatoprotective and anti-oxidant. However, there have been only a few chemical composition studies of S. theezans so far. In this study, phytochemicals (1-11) were isolated from the ethanol extract of S. theezans leaves using different chromatographic techniques, and the chemical structures of isolates were elucidated as anthraquinone glycoside (1), five myricetin glycosides (2-6), three quercetin glycosides (7-9), a flavanol (10), and a simple phenolic compound (11) by NMR and mass analysis, and comparison to the literature. To the best our knowledge, compounds 1, 5, and 10 were obtained from the genus Sageretia for the first time.
Machine learning approach for the prediction of dystocia
( Hanna Lee ),( Ji Hyon Jang ),( Sohyeon Park ),( Min Jeong Baek ),( Ji Yeon Lee ) 대한산부인과학회 2022 대한산부인과학회 학술대회 Vol.108 No.-
Objective: The harmony of material factors and baby size is important for successful vaginal delivery. This research attempted to predict dystocia using the machine learning technique using each material factor, baby size, and the relationship between material factor and baby size. Methods: More than 37 weeks of delivery were targeted among the 293 mothers who gave birth at Bundang Cha Hospital between January 2010 and June 2021 and received CT within five years before and after. A total of 138 vaginal deliveries and 61 dystocias (CPD, malpresentation, induction failure) had their pelvimetry evaluated. Two machine-learning methods (decision tree and logistic regression) were used to predict dystocia. The main outcome measures are under the receiver-operating curve (AUROC), overall accuracy, sensitivity, and specificity of prediction of dystocia. Results: AUROC was 0.615, overall accuracy was 0.743, sensitivity was 0.289, and specificity was 0.942 in the decision tree model. UROC was 0.560, overall accuracy was 0.662, sensitivity was 0.342, and specificity was 0.808 in the logistic regression model. Factors affecting dystocia are head circumference and maternal mid-transverse diameter ratio, pubic angle, head circumference, and BMI ratio, terms BMI, mid-transverse diameter, and age. Conclusion: Dystocia is still challenging to anticipate. Clinical treatment can benefit from dystocia prediction utilizing machine learning approaches.