도시 내 묵논습지 생물서식 특성 및 관리방안 - 북한산국립공원 울대습지를 대상으로-

유소연 ( Yoo So-yeon ),허명진 ( Hur Myung-jin ),한봉호 ( Han Bong-ho ),최진우 ( Choi Jin-woo ) 한국환경복원기술학회(구 한국환경복원녹화기술학회) 2018 한국환경복원기술학회지 Vol.21 No.4

The purpose of this study is to identify the ecological characteristics and biological interactions between species of the abandoned rice paddy field in mountainous areas and to suggest a management strategy for stable food chain formation and biodiversity enhancement. The study site is located in Uldae wetland of Songchu district Bukhansan National Park, site characteristics and biological habitat characteristics were identified through site survey and literature survey. With regard to physical environment, among geographical features, the Uldae Wetland and the neighborhood inside the basin was a gently sloping area(5∼15°). And 64.0% of basin faced the north. With regard to water environment, the Uldae Wetland was wetland of rainfed paddy field depending on precipitation and the system of stream flowing into the wetland from valley. According to the results of examining flora in plant ecology, in general, they were herbaceous wetland species. 88.6% of existing plants inside the Uldae Wetland basin was a forest in the mountain. And Quercus spp. community and Pinus densiflora community accounted for 64.6% of that, and was dominant. Except for that, Salix koreensis community was distributed. The existing vegetation of Uldae Wetland inhabited wetland species and terrestrialization indicator species, and it was thought that partial terrestrialization inside the Uldae Wetland was in progress after the discontinuation of paddy cultivation, such as the expansion of Salix koreensis distribution area. In the status of appearing faunae in the Uldae Wetland with regard to wildbirds of appearing principal species. The Uldae wetland was based on a abandoned rice paddy field various wildlife, and was a wildlife feeding, spawning, and resting place. The water environment was an important factor in maintaining the wetland living creatures function, habitat of waterbirds and benthic macroinvertebrates, amphibians and odonate are spawning ground and habitat, it was affecting the vegetation ecosystem based on wetlands. In order to maintain the diversity of wildlife, it was important to maintain smooth water supply and water level. A stable food chain will be formed and the Uldae wetland biodiversity will be abundant by establishing the relationship between the species of Uldae wetland, which is abandoned rice paddy field, and the habitat environment favored by species belonging to the ecosystem stepwise linkage. The ecological characteristics of the Uldae wetlands and the relation between the species were analyzed and the environmental conditions were reflected in the planning and management plan of Uldae wetland ecology.

토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구

유소연(So-yeon Yoo),임규건(Gyoo-gun Lim) 한국지능정보시스템학회 2022 지능정보연구 Vol.28 No.1

From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing vaccine and treatment were extracted from among the topics derived from all papers, and a total of 4,555 papers related to vaccine and 5,971 papers related to treatment were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (〈Table 2〉) were the topic modeling results for each research topic (〈Table 4〉) was found to be derived from For example, as a result of topic modeling for papers related to ‘vaccine’, a new topic titled Topic 05 ‘neutralizing antibodies’ was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to ‘treatment’, a new topic called Topic 05 ‘cytokine’ was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.

조현병 환자의 삶의 질 예측모형 구축

유소연 ( So Yeon Yoo ) 한국간호과학회 정신간호학회(구 대한간호학회정신간호학회) 2014 정신간호학회지 Vol.23 No.3

Purpose: In this study an exploration was done of the quality of lives of patients with schizophrenia in South Korea and factors related to quality of life, and to develop a model that predicts the quality of their lives. Methods: The participants were 225 patients with schizophrenia, aged 18 and above, residing in Seoul and Gyeonggi-Province. Collected data was analyzed using SAS 9.3 and AMOS 18.0. Results: Social support and psychological well-being were the two factors that most affected the quality of life in patients with schizophrenia. Symptoms, empowerment, and internalized stigma were not found to influence the quality of the patients`` lives. However, symptoms, social support, empowerment, internalized stigma affected the patients`` psychological well-being, and psychological well-being was identified as an influential variable for quality of life in patients with schizophrenia. Therefore, symptoms, social support, empowerment, and internalized stigma are influential to the patients`` quality of lives through psychological well-being. Conclusion: These results suggest that the quality of life in patients with schizophrenia should be examined through the variable of psychological well-being as many variables related to the patients`` quality of life affect psychological well-being.

텍스트 마이닝과 의미 네트워크 분석을 활용한 뉴스 의제 분석: 코로나 19 관련 감정을 중심으로

유소연(So-yeon Yoo),임규건(Gyoo-gun Lim) 한국지능정보시스템학회 2021 지능정보연구 Vol.27 No.1

The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce peoples immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using “Bigkinds” that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud ‘China’, ‘anxiety’, ‘situation’, ‘mind’, ‘social’, and ‘health’ appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were psychology, COVID-19, blue, and anxiety. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the COVID-blue pair is displayed in the boldest, and the COVID-emotion and COVID-anxiety pairs are displayed with a relatively thick line. Blue related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify peoples feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.

정신질환자가 지각하는 낙인정도에 관한 연구

유소연 ( So Yeon Yoo ) 이화여자대학교 간호과학연구소 2004 Health & Nursing Vol.16 No.2

OCS QC 프로그램을 통한 건진 센터 종양검사의 결과보고 개선

백송란,김성호,유소연,김년옥,문형호,유선희,조시만,Back, Song-Ran,Kim, Sung-Ho,Yoo, So-Yeon,Kim, Nyun-Ok,Moon, Hyoung-Ho,Yoo, Seon-Hee,Cho, Shee-Man 대한핵의학기술학회 2009 핵의학 기술 Vol.13 No.3

목적 : 건진센터 종양 검사가 정상범위 내에서 재검기준이 명확히 설정되어 있지 않아 검사자마다 각자의 재검기준에 따라 재검을 시행함에 따라 재검상의 편차가 크고 일괄적이지 못했다. 이를 개선하기 위해 정상치이하값에서의 재검기준을 마련하고 정상치이하인 값에서 trend 결과를 관리할 수 있는 본원 OCS QC (order communication system quality control)프로그램을 이용하여 건진 센터 종양 검사의 결과보고오류에 개선을 하고자 한다. 대상 및 방법 : 2009년 2월부터 3월까지 본원 건진 센터에서 종양 검사(AFP, CEA, CA19-9, CA125, PSA)를 실시한 환자들을 대상으로 하였다. 우선 각 검사의 정상범위에서 Inter assay CV%를 구하여 screening 기준 값을 설정하였다. OCS QC program에 진료과, 대상 검사종목, screening 기준 값을 입력하여 기준 값에 벗어난 결과는 색깔에 반전을 주었다. 1차로 5가지종양 검사를 전 결과대비 ${\pm}$ 30% 기준을 벗어난 screening 건수를 구하였고 2차로 각각의 종양 검사에 대해 전 결과 대비 AFP는 ${\pm}$ 60%, CEA와 CA19-9는 ${\pm}$50%, CA125와 PSA는 ${\pm}$40%로 기준 값을 상향조정하여 screening 건수를 구하였으며 정상치 이하에서의 재검기준도 설정하여 비교하였다. 결과 : 1차 screening 건수 백분율은 30~40%의 결과를 얻었고, 2차 screening 건수 백분율은 AFP 26.1%, CEA 18.9%, CA19-9 17.3%, CA-125 18.7%, PSA 21.0%로 평균 20%의 screening 백분율을 얻었다. 정상치 이하에서의 재검기준은 AFP 5.0이하$\leftrightarrow$10.0이상, CEA 1.0이하$\leftrightarrow$3.0이상, 2.0이하$\leftrightarrow$4.0이상, CA19-9와 CA-125 10.0이하$\leftrightarrow$30.0이상, PSA 1.0이하$\leftrightarrow$2.0이상으로 정하였으며 평균 20.4%의 screening 백분율에 재검기준을 적용시켜 실제 재검사 건수를 얻었다. 2달 동안 재검사 건수는 AFP 0건, CEA 15건, CA19-9 3건, CA-125 2건, PSA 5건이었다. 결론 : OCS QC 프로그램을 이용하여 시스템적인 재검기준을 마련함으로 검사자간 재검 실시 편차의 감소가 있었고 정상치 이하 값에서 결과보고오류에 대해 개선이 있을 것으로 사료된다. Purpose: Standard of retests were discrepant and inconsistent due to inaccuracy and lack of standardization within normal range limit of tumor marker test. To enhance the standardization of retests set standard value below normal range and the Order Communication System Quality Control (OCS QC) program was put in place. This program enables managing the results within lower limit of normal range which were used for tumor marker test in Health Center. Materials and Methods: At present the tumor marker study for AFP, CEA, CA19-9, CA125, and PSA included outpatients in Asan Medical Center from February to March, 2009. The standard value was obtained by using the percentage of CV of Inter Assay according to the normal range of each tumor test. The results were confirmed by using the OCS QC program via formatted assessment of screening test such as test items, standard value and medical department. The number of out-of-range results within plus and minus 30 percents regarding the five primary items of tumor marker test was assessed. The next step was to obtain the number of AFP, CEA, and CA125 according to the ratio of comparison between prior and post test result, 60%, 50%, and 40% within normal range, respectively. In addition, set standard value below normal range. Results: The first screening test with percentage of sample number was resulted between 30%-40% and the second one was AFP 26.1%, CEA 18.9%, CA19-9 17.3%, CA125 18.7%, and PSA 21.0% obtained screening percentage of average 20 percents. The limited value of retest was AFP less than 5.0 and more than 10.0, CEA less than 1.0 and more than 3.0, CA19-9 less than 10.0 and more than 30.0, and PSA less than 1.0 and more than 2.0 to set and the number of retest was obtained by applying to the limited value of retest to screening percentage of average 20 percents For two months, the number of retest was AFP 0, CEA 15, CA19-9 3, CA125 2, and PSA 5. Conclusions: Through using the OCS QC program in establishing the standard of retest systemically, there appeared to be reduced discrepancy among the examiners and to be expected improvement in relation to the error of results.

제주도 한라산국립공원 영실,성판악 지역 굴거리나무림 식생구조 연구

이승한 ( Seung Han Lee ),유소연 ( Bong Ho Han ),김종엽 ( Jong Yup Kim ),한봉호 ( So Yeon Yoo ) 한국환경생태학회 2014 한국환경생태학회지 Vol.28 No.2

본 연구는 제주도 한라산국립공원 굴거리나무 식생구조를 파악하는 것이 목적이다. 그러기 위해 영실 · 성판악지역을 중심으로 26개의 조사구(20m×20m)를 설정하고 조사하였다. 위 지역의 식생군집은 TWINSPAN을 이용한 Classification 분석과 DCA Ordination 분석을 활용하였다. 분석결과는 총 3개 군집으로 나타났다. 군집Ⅰ은 소나무-서어나무 군집, 군집Ⅱ는 서어나무-졸참나무 군집, 군집Ⅲ은 개서어나무 군집이었다. 이러한 식생구조 분석 결과, 모든 군집의 하층에서는 굴거리나무가 출현하였다. 추후 굴거리나무는 아교목층 및 관목층에서 주요종이 될 것으로 판단되었다. 또한 이러한 군집분류결과는 해발고 차이와 동반출현종에 의한 영향 때문인 것으로 판단되었다. 동반출현종은 굴거리나무 생육환경과 유사한 환경에서 자라는 종이다. 동반출현종으로는 아교목층에서 때죽나무, 졸참나무 등이었고, 관목층에서는 꽝꽝나무, 주목 등이었다. The purpose of this study was to investigate the vegetation structure of Daphniphyllum macropodum community in the Yeong-sil and Seong-panack. To do so, 26plots (20m×20m) were set up and surveyed. Plant communities were classified with 3 groups according to the analysis of classification by TWINSPAN and DCA Ordination; Pinus densiflora-Carpinus laxiflora (Ⅰ), Carpinus laxiflora-Quercus serrata (Ⅱ) and Carpinus tschonoskii (Ⅲ). Daphniphyllum macropodum is appearing in understory and shrub layer of all groups. We found that Daphniphyllum macropodum will be dominated in understory and shrub layer. These results was judeged that these influence is depended on difference of altitude and accompanied species. Accompanied species were lived in similar growth environment to Daphniphyllum macropodum. That species were Styrax japonica, Quercus serrata of understory and Ilex crenata, Taxus cuspidata of shrub layer.

간호대학생의 의사소통 유형, 스트레스 대처가 대학생활 적응에 미치는 영향

이난희 ( Lee Nan Hee ),유소연 ( Yoo So Yeon ) 부모자녀건강학회 2017 부모자녀건강학회지 Vol.20 No.2

Purpose: This study was to investigate the effects of communication styles and stress coping on college adaptation in nursing students. Methods: The data was collected by questionnaires from 180 nursing students in a university in Gyeongsan, Korea. The data were analyzed with the SPSS/Win 23.0 program, using descriptive statistics, independent t-test, and multiple logistic regression. Results: A positive correlation was found for college adaptation with a functional communication pattern such as leveling stance (r=.36, p<.001) and stress coping (r=.39, p<.001). With more using of functional communication and with higher level of active coping of stress coping, nursing students appeared to more successfully adaptation to college life. It was also found that an explanatory power for college adaptation of these factors was 29.8%(F=20.01, p<.001). Conclusion: The study results indicate that it is necessary to develop various programs that can improve effective communication and active coping of stress coping of nursing students in order to enhance the adaptation process to college life.

핵의학 체외검사실에서 시약 lot간 parallel test 시 변이 분석

채홍주,천준홍,이선호,유소연,유선희,박지혜,임수연,Chae, Hong Joo,Cheon, Jun Hong,Lee, Sun Ho,Yoo, So Yeon,Yoo, Seon Hee,Park, Ji Hye,Lim, Soo Yeon 대한핵의학기술학회 2019 핵의학 기술 Vol.23 No.2

Purpose In in-vitro laboratories of nuclear medicine department, when the reagent lot or reagent lot changes Comparability test or parallel test is performed to determine whether the results between lots are reliable. The most commonly used standard domestic laboratories is to obtain %difference from the difference in results between two lots of reagents, and then many laboratories are set the standard to less than 20% at low concentrations and less than 10% at medium and high concentrations. If the range is deviated from the standard, the test is considered failed and it is repeated until the result falls within the standard range. In this study, several tests are selected that are performed in nuclear medicine in-vitro laboratories to analyze parallel test results and to establish criteria for customized percent difference for each test. Materials and Methods From January to November 2018, the result of parallel test for reagent lot change is analyzed for 7 items including thyroid-stimulating hormone (TSH), free thyroxine (FT4), carcinoembryonic antigen (CEA), CA-125, prostate-specific antigen (PSA), HBs-Ab and Insulin. The RIA-MAT 280 system which adopted the principle of IRMA is used for TSH, FT4, CEA, CA-125 and PSA. TECAN automated dispensing equipment and GAMMA-10 is used to measure insulin test. For the test of HBs-Ab, HAMILTON automated dispensing equipment and Cobra Gamma ray measuring instrument are used. Separate reagent, customized calibrator and quality control materials are used in this experiment. Results 1. TSH [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(low concentration) [14.8 / 4.4 / 3.7 / 0.0 ] C-2(middle concentration) [10.1 / 4.2 / 3.7 / 0.0] 2. FT4 [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(low concentration) [10.0 / 4.2 / 3.9 / 0.0] C-2(high concentration) [9.6 / 3.3 / 3.1 / 0.0 ] 3. CA-125 [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(middle concentration) [9.6 / 4.3 / 4.3 / 0.3] C-2(high concentration) [6.5 / 3.5 / 4.3 / 0.4] 4. CEA [%diffrence Max / Mean / median] (P-value by t-test > 0.05) C-1(low concentration) [9.8 / 4.2 / 3.0 / 0.0] C-2(middle concentration) [8.7 / 3.7 / 2.3 / 0.3] 5. PSA [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(low concentration) [15.4 / 7.6 / 8.2 / 0.0] C-2(middle concentration) [8.8 / 4.5 / 4.8 / 0.9] 6. HBs-Ab [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(middle concentration) [9.6 / 3.7 / 2.7 / 0.2] C-2(high concentration) [8.9 / 4.1 / 3.6 / 0.3] 7. Insulin [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(middle concentration) [8.7 / 3.1 / 2.4 / 0.9] C-2(high concentration) [8.3 / 3.2 / 1.5 / 0.1] In some low concentration measurements, the percent difference is found above 10 to nearly 15 percent in result of target value calculated at a lower concentration. In addition, when the value is measured after Standard level 6, which is the highest value of reagents in the dispensing sequence, the result would have been affected by a hook effect. Overall, there was no significant difference in lot change of quality control material (p-value>0.05). Conclusion Variations between reagent lots are not large in immunoradiometric assays. It is likely that this is due to the selection of items that have relatively high detection rate in the immunoradiometric method and several remeasurements. In most test results, the difference was less than 10 percent, which was within the standard range. TSH control level 1 and PSA control level 1, which have low concentration target value, exceeded 10 percent more than twice, but it did not result in a value that was near 20 percent. As a result, it is required to perform a longer period of observation for more homogenized average results and to obtain laboratory-specific acceptance criteria for each item. Also, it is advised to study observations considering various variables. 핵의학 체외 검사실 에서는 시약 Lot가 변경될 때, Lot 간의 결과가 신뢰성이 있는지를 판단하기 위해 Lot 간 동등성 검사(comparability test between reagent lots) 또는 시약 병행 검사(reagent parallel test)를 시행하는데, 다수의 국내 검사실에서는 두 lot 간 결과 차이로부터 %difference를 구하여 저농도에서는 20% 이내, 중 고농도에서는 10% 이내로 설정하고 있으며 범위를 벗어 날 경우 재검사 시행으로 범위를 맞추는 실정이다. 따라서 본원의 핵의학 체외 검사실에서 시행되는 몇 가지 검사를 선정하여 parallel test의 결과를 분석해보았고, 검사별 맞춤 %difference 값 선정에 도움 될 만한 참고 자료를 마련해 보고자 하였다. Thyroid-stimulating hormone(TSH), Free thyroxine(FT4), Carcinoembryonic antigen(CEA), CA-125, Prostate-specific antigen(PSA) 그리고 HBs-Ab, insulin, 7종목에 대해 2018 1월부터 2018년 11월까지의 기간 동안의 시약 lot 변화에 따른 정도 관리 물질의 결과를 분석하였다. TSH, F-T4, CEA, CA-125, PSA의 측정에는 IRMA의 원리를 이용한 RIA-MAT 280 system이 사용되었고, Insulin의 측정에는 TECAN 자동화 분주 장비와 GAMMA-10 측정 장비가 사용되었다. HBs-Ab의 측정에는 HAMILTON 자동화 분주 장비와 GAMMA-10 측정 장비가 사용되었다. 각각 전용 시약과 전용 칼리브레이터, 전용 정도 관리 물질이 사용되었다. 1. TSH [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(저농도) [14.8 / 4.4 / 3.7 / 0.0 ] C-2(중농도) [10.1 / 4.2 / 3.7 / 0.0] 2. FT4 [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(저농도) [10.0 / 4.2 / 3.9 / 0.0] C-2(고농도) [9.6 / 3.3 / 3.1 / 0.0 ] 3. CA-125 [%diffrence Max / Mean / median] (P-value by t-test > 0.05) C-1(중농도) [9.6 / 4.3 / 4.3 / 0.3] C-2(고농도) [6.5 / 3.5 / 4.3 / 0.4] 4. CEA [%diffrence Max / Mean / median] (P-value by t-test > 0.05) C-1(저농도) [9.8 / 4.2 / 3.0 / 0.0] C-2(중농도) [8.7 / 3.7 / 2.3 / 0.3] 5. PSA [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(저농도) [15.4 / 7.6 / 8.2 / 0.0] C-2(중농도) [8.8 / 4.5 / 4.8 / 0.9] 6. HBs-Ab [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(중농도) [9.6 / 3.7 / 2.7 / 0.2] C-2(고농도) [8.9 / 4.1 / 3.6 / 0.3] 7. insulin [%diffrence Max / Mean / Median] (P-value by t-test > 0.05) C-1(중농도) [8.7 / 3.1 / 2.4 / 0.9] C-2(고농도) [8.3 / 3.2 / 1.5 / 0.1] 모두 정도 관리 물질의 lot 변경 시에도 유의미한 차이가 없었으며 표본 수가 늘어남에 따라 검사실과 검사 종목 별 맞춤 허용 기준을 설정할 수 있을 것이라 기대할 수 있었다. 면역 방사 계수 측정법에서 비교적 검출률이 높은 종목들을 선정해서 일 것이라 판단되며 여러 번 재 측정된 결과 값이기 때문일 수도 있겠다. 대부분의 검사 결과에서 허용 기준인 10%에 크게 못 미치는 차이를 보였으며 저농도 target 값을 가진 경우에도 허용 기준인 20%에 가까운 수치를 보이진 않았다. 더 오랜 기간 동안의 관찰과 연구를 통해 평균의 균질화가 이루어진다면 종목 별 검사실 맞춤 허용 기준을 얻을 수 있을 것으로 판단되며 더 다양한 변수를 고려한 관찰과 연구도 필요할 것이다.

천식 청소년의 성별에 따른 건강행태와 자살생각 관련 요인과의 관계: 제10차 청소년 건강행태 온라인조사 자료를 중심으로

김예영 ( Kim Yae Young ),유소연 ( Yoo So Yeon ) 부모자녀건강학회 2017 부모자녀건강학회지 Vol.20 No.2

Purpose: This study was to compare the health behaviors and factors influencing on suicidal ideation according to the gender among adolescents with asthma and to examine the relationship between them. Methods: The data was obtained from the 2014 youth’s risk behavior web-based study in South Korea. The data were analyzed with the SPSS/Win 21.0 program, using descriptive statistics, x² test and multiple logistic regression. Results: As the result of multiple logistic regression, the factors of health behaviors and risk related to suicidal ideation were subjective happiness, stress, depression, drug use, treatment experience due to violence in both male and female. In female, physical activity and alcohol drinking were factors related to suicidal ideation. Conclusion: Therefore, we have to develop suicide prevention program, to decrease the suicidal ideation of adolescents considering such differences by gender differences.