• Title/Summary/Keyword: Management methods

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New Estimates of CH4 Emission Scaling Factors by Amount of Rice Straw Applied from Korea Paddy Fields (볏짚 시용에 따른 벼 재배 논에서의 메탄 배출계수 개발에 관한 연구)

  • Ju, Okjung;Won, Tae-Jin;Cho, Kwang-Rae;Choi, Byoung-Rourl;Seo, Jae-Sun;Park, In-Tae;Kim, Gun-Yeob
    • Korean Journal of Environmental Agriculture
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    • v.32 no.3
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    • pp.179-184
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    • 2013
  • BACKGROUND: Accurate estimates of total direct $CH_4$ emissions from croplands on a country scale are important for global budgets of anthropogenic sources of $CH_4$ emissions and for the development of effective mitigation strategies. Methane production resulted by the anaerobic decomposition of organic compounds where $CO_2$ acts as inorganic electron acceptor. This process could be affected by the addition of rice straw, water management and rice variety itself. METHODS AND RESULTS: Rice (Oryza sativa L. Japonica type, var Samkwangbyeo) was cultivated in four plots: (1) Nitrogen-Phosphorus-Potassium (NPK) ($N-P_2O_5-K_2O$:90-45-57 kg/ha); (2) NPK plus 3 Mg/ha rice straw (RS3); (3) NPK plus 5 Mg/ha rice straw (RS5); (4) NPK plus 7 Mg/ha rice straw (RS7) for 3 years (2010-2012) and the rice straw incorporated in fall (Nov.) in Gyeonggi-do Hwaseong-si. Gas samples were collected using the closed static chamber which were installed in each treated plot of $152.9m^2$. According to application of 3, 5, 7 Mg/ha of rice straw, methane emission increased by 46, 101, 190%, respectively, compared to that of the NPK plot. CONCLUSION(S): We obtained a quantitative relationship between $CH_4$ emission and the amount of rice straw applied from rice fields which could be described by polynomial regression of order 2. The emission scaling factor estimated by the relationship were in the range of IPCC GPG (2000).

Meteorological Constraints and Countermeasures in Major Summer Crop Production (하작물의 기상재해와 그 대책)

  • Shin-Han Kwon;Hong-Suk Lee;Eun-Hui Hong
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.27 no.4
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    • pp.398-410
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    • 1982
  • Summer crops grown in uplands are greatly diversified and show a large variation in difference with year and location in Korea. The principal factor for the variation is weather, in which precipitation and temperature play a leading role and such a weather factors as wind, sun lights also influence production of the summer crops. Since artificial control of weather conditions as a main stress factor for crop production is almost impossible, it must be minimized only by an improvement of cultivation techniques and crop improvement. Precipitation plays a role as one of the most important factor for production of the summer crops and it is considered in two aspects, drought and excess moisture. This country, which belongs to monsoon territory, necessarily encounter one of this stress almost every year, even though the level is different. Therefore, the facilities for both drought and excess moisture are required, but actually it is not easy to complete for them. On this account, crops tolerant to drought, excess moisture and pests should be considered for establishing summer crops. For the districts damaged habitually every season, adequate crops should be cultured and appropriate method of planting, drainage and weed control should be applied diversely. Injuries by temperature is mainly attributed to lower temperature particularly in late fall and early spring, although higher temperature often causes some damages depending upon the kind of crops. Sometimes, lower temperature in summer season playa critical role for yield reduction in the summer crops. However, certain crops are prevented to some extent from this kind of stress by improving varieties tolerant to cold, hot weather or early maturing varieties. As is often the case, control of planting time or harvesting is able to be a good management for escaping the stress. Lodging, plant diseases and pests are considered as a direct or indirect damage due to weather stress, but these are characters able to be overcome by means of crop improvement and also controlled by other suitable methods. In addition, polytical supports capable of improving constitution of agriculture into modern industry is urgently required by programming of data for the damages, establishment of damage forecasting and compensation system.

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The Severity and Variables Influencing Depression in Cancer Patients with Pain (통증이 있는 암환자의 우울 정도 및 우울에 영향을 미치는 요인)

  • Kim, Hyun-Sook;Yun, Young-Ho;Lee, So-Woo;Heo, Dae-Seog;Son, Haeng-Mi;Huh, Bong-Yul
    • Journal of Hospice and Palliative Care
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    • v.2 no.2
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    • pp.125-137
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    • 1999
  • Purpose : Surveying the rates, severity, and variables influencing depression and their correlation between pain and depression in Korean cancer patients, we attempted to provide a basic database for the effective depression management program. Methods : The results of survey were colleted from 10 patients who were hospitalized at Seoul National University Hospital for cancer treatment from February to June of 1999. Factors of depression and the level of pain were examined by self-reported survey employing Korean version of Beck Depression Inventory(BDI) and an abridged version of Brief pain Inventory respectively. The purpose of this study and guidelines for the questionnaires were clearly explained to participating patients by Resgitered Nurses before answering the survey. Demographic and clinical characteristics of patients were compiled by reviewing their medical records in corporation with a family physician. The difference in the level of depression among patient groups was analyzed with the t-test and ANOVA, and the correlation between variables with Pearson correlation coefficient. Results : 1) 142 subjects comprised 79 male and 63 female, and their mean age was 51.86. 2) The mean scores of the worst pain for last 24-hours was 6.08(SD 2.23), the average pain for last 24-hours 4.44(SD 1.85), and the mean scores of pain at the time of survey 3.48(SD 2.25), while the mean scores of the least pain for last 24-hours 2.25(SD 1.83). 3) The mean BDI scores were 23.73(SD 0.99), and 55.6% of patients were evaluated to be in depression(cutting point 21). Scores of depression for cancer patients were higher than normal population. 4) The correlation between worst pain for last 24-hours and depression(r=0.252, P=0.002), average pain for last 24-hours and depression(r=0.225, P=0.007), present pain and depression(r=0.291, P=0.000) were significant. 5) Significant differences were found among groups of cancer patients with pain with respect to gender(t=3.59, p=0.000), level of education(F=4.063, P=0.009), ECOG(F=3.352, P=0.021). There was significant positive correlation between depression and pain(r=0.171, P=0.042). Conclusions : More than 50% of cancer patients with pain are suffering from depression. We have shown that the variables like the degree of pain, gender, level of education, ECOG, and age are significantly related to the depression in cancer patients. The findings of this study may be used for assessing high-risk patients in need of intervention and for planning effective therapeutic strategies for them after the routine assessment. Further study is necessary to investigate the cultural differences and the variables influencing on depression in Korean cancer patients.

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Epidural Morphine for Pain Control in Patients with Terminal Cancer in Hospice Ward (호스피스 병동의 암환자에서 경막외 모르핀 주입을 이용한 통증 조절)

  • Lee, Jang-Eun;Hur, Ki-Hoon;Kang, Yoo-Jin;Jeon, Yon-Soo;Lee, Ok-Kyung;Shim, Byoung-Yong;Kim, Hoon-Kyo
    • Journal of Hospice and Palliative Care
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    • v.11 no.3
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    • pp.136-139
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    • 2008
  • Purpose: Epidural morphine infusion has been used to control pain in cancer patients whose cancer pain can not be controlled high dose intravenous morphine injection. To study the effectiveness and side effects of epidural morphine for the treatment of cancer pain in terminal patients at Hospice Ward, we evaluated the change in morphine equivalent daily dose for effectiveness and complications of epidural morphine infusion. Methods: We retrospectively analyzed 24 terminal cancer patients who were treated with continuous epidural morphine between 2001 and 2004 at Hospice Ward of St. Vincent's Hospital. Results: The median of baseline morphine equivalent daily dose was 615 mg, whereas the median dose of initial epidural morphine was 16 mg. The median of morphine daily equivalent daily dose dropped from 615 mg to 274 mg in one week after epidural morphine infusion therapy (P-value=0.000). The median survival from the time of the first catheter insertion was 35 days. In 6 patients, the catheter was removed due to complications, however the catheter was reinserted in 3 patients. Conclusion: Cancer pain management by epidural morphine infusion is very effective method with low rate of severe complication.

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The Analysis on the Relationship between Firms' Exposures to SNS and Stock Prices in Korea (기업의 SNS 노출과 주식 수익률간의 관계 분석)

  • Kim, Taehwan;Jung, Woo-Jin;Lee, Sang-Yong Tom
    • Asia pacific journal of information systems
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    • v.24 no.2
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    • pp.233-253
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    • 2014
  • Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

Comparisons of Popularity- and Expert-Based News Recommendations: Similarities and Importance (인기도 기반의 온라인 추천 뉴스 기사와 전문 편집인 기반의 지면 뉴스 기사의 유사성과 중요도 비교)

  • Suh, Kil-Soo;Lee, Seongwon;Suh, Eung-Kyo;Kang, Hyebin;Lee, Seungwon;Lee, Un-Kon
    • Asia pacific journal of information systems
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    • v.24 no.2
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    • pp.191-210
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    • 2014
  • As mobile devices that can be connected to the Internet have spread and networking has become possible whenever/wherever, the Internet has become central in the dissemination and consumption of news. Accordingly, the ways news is gathered, disseminated, and consumed have changed greatly. In the traditional news media such as magazines and newspapers, expert editors determined what events were worthy of deploying their staffs or freelancers to cover and what stories from newswires or other sources would be printed. Furthermore, they determined how these stories would be displayed in their publications in terms of page placement, space allocation, type sizes, photographs, and other graphic elements. In turn, readers-news consumers-judged the importance of news not only by its subject and content, but also through subsidiary information such as its location and how it was displayed. Their judgments reflected their acceptance of an assumption that these expert editors had the knowledge and ability not only to serve as gatekeepers in determining what news was valuable and important but also how to rank its value and importance. As such, news assembled, dispensed, and consumed in this manner can be said to be expert-based recommended news. However, in the era of Internet news, the role of expert editors as gatekeepers has been greatly diminished. Many Internet news sites offer a huge volume of news on diverse topics from many media companies, thereby eliminating in many cases the gatekeeper role of expert editors. One result has been to turn news users from passive receptacles into activists who search for news that reflects their interests or tastes. To solve the problem of an overload of information and enhance the efficiency of news users' searches, Internet news sites have introduced numerous recommendation techniques. Recommendations based on popularity constitute one of the most frequently used of these techniques. This popularity-based approach shows a list of those news items that have been read and shared by many people, based on users' behavior such as clicks, evaluations, and sharing. "most-viewed list," "most-replied list," and "real-time issue" found on news sites belong to this system. Given that collective intelligence serves as the premise of these popularity-based recommendations, popularity-based news recommendations would be considered highly important because stories that have been read and shared by many people are presumably more likely to be better than those preferred by only a few people. However, these recommendations may reflect a popularity bias because stories judged likely to be more popular have been placed where they will be most noticeable. As a result, such stories are more likely to be continuously exposed and included in popularity-based recommended news lists. Popular news stories cannot be said to be necessarily those that are most important to readers. Given that many people use popularity-based recommended news and that the popularity-based recommendation approach greatly affects patterns of news use, a review of whether popularity-based news recommendations actually reflect important news can be said to be an indispensable procedure. Therefore, in this study, popularity-based news recommendations of an Internet news portal was compared with top placements of news in printed newspapers, and news users' judgments of which stories were personally and socially important were analyzed. The study was conducted in two stages. In the first stage, content analyses were used to compare the content of the popularity-based news recommendations of an Internet news site with those of the expert-based news recommendations of printed newspapers. Five days of news stories were collected. "most-viewed list" of the Naver portal site were used as the popularity-based recommendations; the expert-based recommendations were represented by the top pieces of news from five major daily newspapers-the Chosun Ilbo, the JoongAng Ilbo, the Dong-A Daily News, the Hankyoreh Shinmun, and the Kyunghyang Shinmun. In the second stage, along with the news stories collected in the first stage, some Internet news stories and some news stories from printed newspapers that the Internet and the newspapers did not have in common were randomly extracted and used in online questionnaire surveys that asked the importance of these selected news stories. According to our analysis, only 10.81% of the popularity-based news recommendations were similar in content with the expert-based news judgments. Therefore, the content of popularity-based news recommendations appears to be quite different from the content of expert-based recommendations. The differences in importance between these two groups of news stories were analyzed, and the results indicated that whereas the two groups did not differ significantly in their recommendations of stories of personal importance, the expert-based recommendations ranked higher in social importance. This study has importance for theory in its examination of popularity-based news recommendations from the two theoretical viewpoints of collective intelligence and popularity bias and by its use of both qualitative (content analysis) and quantitative methods (questionnaires). It also sheds light on the differences in the role of media channels that fulfill an agenda-setting function and Internet news sites that treat news from the viewpoint of markets.

Establishment of Biotin Analysis by LC-MS/MS Method in Infant Milk Formulas (LC-MS/MS를 이용한 조제유류 중 비오틴 함량 분석법 연구)

  • Shin, Yong Woon;Lee, Hwa Jung;Ham, Hyeon Suk;Shin, Sung Cheol;Kang, Yoon Jung;Hwang, Kyung Mi;Kwon, Yong Kwan;Seo, Il Won;Oh, Jae Myoung;Koo, Yong Eui
    • Journal of Food Hygiene and Safety
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    • v.31 no.5
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    • pp.327-334
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    • 2016
  • This study was conducted to establish the standard method for the contents of biotin in milk formulas. To optimize the method, we compared several conditions for liquid extraction, purification and instrumental measurement using spiked samples and certified reference material (NIST SRM 1849a) as test materials. LC-MS/MS method for biotin was established using $C_{18}$ column and binary gradient 0.1% formic acid/acetonitrile, 0.1% formic acid/water mobile phase is applied for biotin. Product-ion traces at m/z 245.1 ${\rightarrow}$ 227.1, 166.1 are used for quantitative analysis of biotin. The linearity was over $R^2=0.999$ in range of $5{\sim}60{\mu}g/L$. For purification, chloroform was used as a solvent for eliminating lipids in milk formula. The linearity was over 0.999 in range of 5~60 ng/mL. The detection limit and quantification limit were 0.10, 0.31 ng/mL. The accuracy and precision of LC-MS/MS method using CRM were 103%, 2.5% respectively. Optimized methods were applied in sample analysis to verify the reliability. All the tested milk formulas were acceptable contents of biotin compared with component specification and standards for nutrition labeling. The standard operating procedures were prepared for biotin to provide experimental information and to strengthen the management of nutrient in milk formula.

Investigation on Characteristics of Swine Manure of Optimum Volume for Escalator Reversing Composting Facility (돼지분뇨 특성에 따른 기계교반 퇴비화시설의 적정용적 산정 연구)

  • Kwag, J.H.;Choi, D.Y.;Park, C.H.;Jeong, K.H.;Kim, J.H.;Yoo, Y.H.;Youn, C.K.;Ra, C.S.
    • Journal of Animal Environmental Science
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    • v.14 no.2
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    • pp.105-112
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    • 2008
  • This study was carried out to investigate evaporation rate of moisture per surface area and degradation rate of organic matter in full scale escalator reversing composting facility were analyzed to develope a computer program for the computation of an optimum volume of composting facility according to handling methods of swine farm, moisture levels of manure, degradation rate of organics and evaporation rate of moisture during composting. The obtained results can be followed as bellow; The temperature in full scale escalator reversing composting facility during composting reached $70^{\circ}C$ in 4 days and maintained until 11 days. Reduction rate of moisture and density was average 1.20% and 29.7%, respectively. Annual degradation rate of organic matter was 3.53%, showing lowest rate in winter as 3.23%. These seasonal degradation rate could be a factor to be considered for proper management and installation of composting facility. When computed with the amount of feces, urine, slurry and manure plus wastewater produced, the optimum volumes of composting facility for slurry and manure plus wastewater including each 95% moisture was $229m^3$ and $277m^3$, respectively, showing 21% ($48m^3$) difference.

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A study on Classification of Temporarily Access Group about Sanitation Workers in Nuclear Medicine Department (핵의학과 환경미화원의 일시 출입자 분류에 대한 고찰)

  • Yoo, Jae-Sook;Jang, Jeong-Chan;Kim, Ho-Seong
    • The Korean Journal of Nuclear Medicine Technology
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    • v.16 no.1
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    • pp.50-56
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    • 2012
  • Purpose: Those who access to the nuclear medicine department are classified as radiation workers, temporarily access group, and occasional access group as defined by the atomic energy law. The radiation workers and temporarily access people wear a personal radiation dosimeter for checking their own radiation absorbed dose periodically. However, because of the sanitation workers, classified as temporarily access group, who are working in the nuclear medicine department are moved in a cycle with other departments and their works are changeful, it is hard to control their radiation absorbed dose. Thus, this study is going to examine the state of the sanitation worker's radiation absorbed dose, and then make sure whether they are classified as temporarily access group or not. Materials and methods: In the first instance, the first sanitation worker who works in vitro laboratory and PET room and the second sanitation worker who works in gamma camera rooms (invivo room) wore radiation dosimeter-OSL(Optically Stimulated Luminescence)- to measure their own radiation absorbed dose during work time from May to June 2011. Secondly, this study was taken place 5 places in gamma camera rooms, 2 places in PET bed room, operating room, waiting room and cyclotron room in PET and 4 places in vitro laboratory. And then to measure the radiation space dose rate, it is measured 10 times each of places as sanitation worker's work flow by using radiation survey meter. Results: The radiation absorbed dose on OSL of the first c who works in vitro laboratory and PET room and the second one who works in gamma camera rooms are 0.04, 0.02 mSv per month respectively. That means the estimated annual radiation absorbed doses are less than 1mSv as 0.48, 0.24 mSv/yr respectively. The radiation space dose rates as sanitation worker's work flow using survey meter are 0.0037, 0.0019 mSv/day, so the estimated annual radiation absorbed dose are 0.93, 0.47 mSv/yr respectively. The weighted exposure dose of first sanitation worker of each places are 1.62% in cyclotron room, 3.88% in waiting room, 2.39% in operating room, 81.01% in bed room of PET and 11.01% in vitro laboratory. The weighted exposure dose of second sanitation worker of each places are 45.22% in radiopharmaceutical laboratory, gamma 30.64% in camera rooms, 15.65% in waiting room, 8.49% in reading room. Conclusion: The annual radiation absorbed doses on OSL of both sanitation workers are less than 1 mSv per year and the annual radiation absorbed doses by using survey meter are less than 1mSv either, but close up to 1 mSv. Thus, to clarify whether the sanitation workers are temporarily access group or not, and to be lessen their s radiation absorbed dose, they should be educated about management of radiation and modified their work flow or work time appropriately, their radiation absorbed dose would be lessen certainly.

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Predictors of Participation Restriction in Community-dwelling Persons With Spinal Cord Injury (지역사회 거주 척수장애인의 참여 제약에 영향을 미치는 예측요인)

  • Kim, Yeon-Ju;Park, Ji-Hyuk;Kim, Jung-Ran;Park, Hae Yean
    • Therapeutic Science for Rehabilitation
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    • v.7 no.4
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    • pp.19-30
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    • 2018
  • Objective: The purpose of this study was to suggest predictors of participation restriction in community-dwelling Spinal Cord Injury (SCI) based on environmental, functional, injury-related, psychosocial, and sociodemographic factors. Methods: The participants were 82 community-dwelling SCI adults over the age of 18. They were all included in the American Spinal Injury Association's (ASIA) Levels A, B, and C. This study surveyed participants' participation using the CHART-K-SF, environmental factors using the CHIEF-25 Korean version, and functional factors using the SCIM III. Further, pain and distress were surveyed using Zung's Self-rating Pain and the PAD, self-esteem was assessed using the RSES, and self-efficacy using the GSS. Finally, information concerning injury levels, post-injury period, causes of injury-related factors, and sociodemographic factors such as gender, age, marriage, education level, and residence information were collected. The collected data were analyzed using SPSS Version 21.0 Results: Participants' risk factors were environmental and functional. The Nagelkerke's $R^2$ was.737. The OddsRatio(OR) of environmental factors(referent,0-1) was 40.346. Moreover, the OR of the $1^{st}$ quartile functional factor(referent,4thquartile) was 236. 621, and that of the$2^{nd}$ quartile was 21.174. In addition, the occupational predictors included the "policies" subscales in the CHART-K-SF, "physical/structural" in the CHIEF-25, and "mobility" in the SCIM III. Further, the predictors of "physical independence" were "services/assistance" in CHIEF-25, and "respiration and sphincter management' on the SCIM III. Additionally, "mobility" was predicted by "physical/structural" on the CHIEF-25 and "mobility" on the SCIM III. Conclusions: This study multidimensionally confirmed predictors of participation restriction. Through these facts, we investigated occupational therapists' roles in community setting. Therefore, this study's results will provide useful information for occupational therapy services, for which the goal is SCI participation improvement within the community.