• Title/Summary/Keyword: web statistics

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Validity of Self-Reported Height, Weight, and Body Mass Index of the Korea Youth Risk Behavior Web-Based Survey Questionnaire

  • Bae, Ji-Suk;Joung, Hyo-Jee;Kim, Jong-Yeon;Kwon, Kyoung-Nam;Kim, Yoon-Jung;Park, Soon-Woo
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.5
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    • pp.396-402
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    • 2010
  • Objectives: Self-reported anthropometric values, such as height and weight, are used to calculate body mass index (BMI) and assess the prevalence of obesity among adolescents. The aim of this study was to evaluate the validity of selfreported height, weight, and BMI of the Korea Youth Risk Behavior Web-based Survey questionnaire. Methods: A convenience sample of 137 middle school students and 242 high school students completed a selfadministered questionnaire in 2008. Body height and weight were directly measured after self-reported values were obtained from the questionnaire survey. Sensitivity, specificity, and kappa statistics were computed in order to evaluate the validity of the prevalence of obesity (BMI $\geq$ 95th percentile or $\geq$ $25;kg/$m^2$) based on self-reported data. Results: Self-reported weight and BMI tended to be underestimated. Self-reported height tended to be overestimated among middle school females and high school males. Obese adolescents tended to underestimate their weight and BMI and overestimate their height more than non-obese adolescents. The prevalence estimate of obesity based on selfreported data (10.6%) was lower than that based on directly measured data (15.3%). The estimated sensitivity of obesity based on self-reported data was 69.0% and the specificity was 100.0%. The value of kappa was 0.79 (95% confidence interval, 0.70 - 0.88). Conclusions: This study demonstrated that self-reported height and weight may lead to the underestimation of BMI and consequently the prevalence of obesity. These biases should be taken into account when self-reported data are used for monitoring the prevalence and trends of obesity among adolescents nationwide.

A Service Marketing Success Using Internet of Things: The Case of Cleveland Museum of Arts in the United States (사물인터넷을 이용한 서비스 마케팅의 성공: 미국 클리블랜드 미술관의 사례)

  • Joo, Mi-Kyoung;Kim, Myung-Hee
    • Journal of Digital Convergence
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    • v.14 no.11
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    • pp.549-555
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    • 2016
  • This paper tries to find the implications applied to art institutions of Korea by analyzing what the content and consequences of services of the Cleveland Museum of Art provided after the Internet of Things adoption in the theoretical perspectives strengthening service marketing through the Internet of Things increases visits and participation in the museum. For analysis, journal articles, statistics, and government press releases, news articles, web pages, web page articles are collected. The results are first, the application of digital and social media is positive in visit to the museum and monetization. Second, the introduction of the Internet of Things will enhance the museum's 'Education', 'Accessibility', 'Communications' services, as well as significantly increase on and offline participation by activating experience. Third, technical support from related companies with the support of local government funds is essential to build the system. Consequently, in order to enable the participation of the spectators in the galleries it is proposed aggressive adoption of such digital technology in domestic barren market of Internet of Things.

Integrated Korean Flora Database: A Versatile Web-based Database for Dissecting Flora Investigations

  • Yeon, Jihun;Kim, Yongsung;Kim, Hyejeong;Kim, Juhyun;Park, Jongsun
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2018.04a
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    • pp.16-16
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    • 2018
  • Flora investigations have been conducted by many researchers for a long time in Korea. Even though large amount of investigation data has been accumulated, there is no accurate statistics or database because most of data were published in a printed form. We developed a web-based database of flora investigation, named as the Integrated Korean Flora Database (http://www.floradb.net/) to understand distribution patterns and habitats of plants in Korea. Till now, 480 published paper, 356 thesis, 76 reports and books, and 8 unpublished papers written in between 1962 and 2017 were collected and their species lists from 280 papers were parsed into the database. From 124,105 records, 3,100 species belonging to 206 families and 965 genera were identified via comparing with two major Korean plant species lists. 55 endangered species, 159 endemic species, and 367 rare species were identified. The most frequently surveyed species were Commelina communis in herbaceous and Rosa multiflora in woody plants. Microclimate data provided by Korea Meteorological Administration were also integrated and analyzed to assign cold hardness zones for each species. By comparing minimum temperature (<2%) acquired from automated weather stations (AWS) near by plant species, 6a to 10b zones (7b is the most frequent zone) were identified. Integrated Korean Flora Database will be a fundamental platform of korea flora investigation as well as a new standard for classifying distribution of plants based on accurate microclimate data. Moreover, it can also provide evidences of investigated plant species, such as specimen and/or pictures with connecting to the InfoBoss Cyber Herbarium (http://herbarium.infoboss. co.kr/) and Biodiversity Observation Datbase (BODB; http://www.biodiversitydb.org/).

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Dynamic recomposition of document category using user intention tree (사용자 의도 트리를 사용한 동적 카테고리 재구성)

  • Kim, Hyo-Lae;Jang, Young-Cheol;Lee, Chang-Hoon
    • The KIPS Transactions:PartB
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    • v.8B no.6
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    • pp.657-668
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    • 2001
  • It is difficult that web documents are classified with exact user intention because existing document classification systems are based on word frequency number using single keyword. To improve this defect, first, we use keyword, a query, domain knowledge. Like explanation based learning, first, query is analyzed with knowledge based information and then structured user intention information is extracted. We use this intention tree in the course of existing word frequency number based document classification as user information and constraints. Thus, we can classify web documents with more exact user intention. In classifying document, structured user intention information is helpful to keep more documents and information which can be lost in the system using single keyword information. Our hybrid approach integrating user intention information with existing statistics and probability method is more efficient to decide direction and range of document category than existing word frequency approach.

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The Development of Convergence Bench-making system on length of stay (융복합 재원일수 벤치마킹 시스템 개발)

  • Choi, Youn-Hee;Kim, Yun-Jin;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.13 no.5
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    • pp.89-99
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    • 2015
  • This study aims to develop a LOS(Length of Stay) bench-making system that can provide efficient by comparing the LOS management of other hospital and level evaluation for inducing the LOS to manage their own activities. The convergence LOS bench-making web program has been implemented to compare a variety of beds, regional group, followed reporting with excel files downloads by using the severity-adjusted LOS model of Korean National Hospital Discharge in-depth Injury Survey data. Features that are computed in real-time severity-adjusted LOS was also implemented. Trial operating results, bench-making system was confirmed efficient for management of LOS on the long-term care and group of disease in hospital from the staff or medical department, receive requests comparative statistics by area and disease group. Therefore the policy alternative on extension of severity-adjusted LOS is needed to utilized bench-making system on LOS.

Determinants of Adoption and Use of Open Access Publishing by Academic Staff in Nigeria Universities

  • Bashorun, Musediq Tunji;Jain, Priti;Sebina, Peter M.;Kalusopa, Trywell
    • Journal of Information Science Theory and Practice
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    • v.4 no.4
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    • pp.49-63
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    • 2016
  • The emergence of the World Wide Web (WWW) has changed the scholarly publishing system. Today, Open Access (OA) scholarly publishing offers free access and wide dissemination for research findings anytime and anywhere as an additional value for scholarly content. Despite the potentials of OA publishing, its adoption and use is still low.This paper determines factors influencing the adoption and use of OA publishing by academic staff in universities in Nigeria using an adapted Unified Theory of Acceptance and Use Technology (UTAUT). The study applies methodological triangulation by combining quantitative and qualitative approaches. The empirical data were collected from 317 academic staff in universities in southwest Nigeria. The questionnaire forms were analyzed using the Statistical Package for Social Sciences (IBM-SPSS) 19.0 version to generate descriptive statistics, Analysis of Variance, and Hierarchical Multiple Regression. Thematically, analysis also applies to the interviews. The results show that awareness, attitude, performance expectancy, Internet self-efficacy, and facilitating conditions significantly influenced the adoption and use of OA publishing. The study also reveals that due to lack of OA policy, most of the respondents did not know about OA. The findings further establish that all predictors and moderating variables jointly contributed 64.4% total variance towards the adoption and use of OA publishing. One of the implications of this study is that there is a need for adequate facilities to support adoption and use of OA publishing. The findings inform the proposed framework for improving and evaluating the adoption and use of OA publishing. The findings also have theoretical, societal, and methodological significance to all stakeholders.

Trends in the prevalence of oral health behaviors among Korean adolescents: using 2005-2017 Korea Youth Risk Behavior Web-based Survey (KYRBS) (한국 청소년의 구강보건행태 13년간 동향분석: 2005-2017년 청소년 온라인 건강행태조사자료 이용)

  • Park, Su-Kyung;Kim, Young-Suk;Lee, Min-Young;Kim, Jung-Hui;Oh, Jung-Hyeon;Yoo, Ja-Hea
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.2
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    • pp.265-275
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    • 2019
  • Objectives: The aim of this study was to investigate trends of oral health behaviors in Korean adolescents. Methods: From the 2005 to 2017 Korea Youth Risk Behavior web-based Survey (KYRBS) Secondary Data (study to 748,461). Independent variables were the year, gender, grade, and living area. Dependent variables were the rate of tooth-brushing after lunch, scaling, use of sealant, and oral health education within 1 year. Chi-squire tests were used to estimate the rate of oral health behaviors and trends. In addition, multiple logistic regression analysis was used to estimate the association between socio-economic characteristics and oral health behaviors. The analyses were conducted using IBM SPSS statistics 21 (version 21.0, IBM Corporation, New York, NY, USA). Results: The rate of tooth-brushing after lunch and use of sealant have significantly increased every year. Oral health behaviors were significantly associated with socio-economic characteristics. The rate of oral health education was higher among males than females, which was in contrast to other oral health behaviors. The scores for tooth-brushing after lunch, use of sealant, and scaling in females were 2.33 (95% CI; 2.27-2.40), 1.31 (95% CI; 1.29-1.33), and 1.20 (95% CI; 1.18-1.22), which were higher than those in males. The score for use of sealant in the highest household economy group was 1.13 (95% CI; 1.10-1.17), which was higher than the lowest economy group. Conclusions: We found positive trends of oral health behaviors in Korean adolescents.

Influencing Factors on Low Body Weight in Korean Adolescents (한국 청소년의 저체중 영향요인)

  • Lee, Jaeyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.562-570
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    • 2019
  • This study examined the factors affecting the underweight of Korean adolescents using data from Korea youth risk behavior web-based survey, which are national health statistics. This is a second data analysis study using the 13th Korea youth risk behavior web-based survey. The subjects were 48,242 adolescents who range from the first-year middle school students to the third-year high school students. The measurement variables were classified into demographic, physical activity, dietary, and mental health characteristics. The collected data were analyzed by logistic regression analysis. The factors affecting the underweight of Korean adolescents were sex, school type, academic performance, economic level, physical activities, weight control efforts, ramen intake, confectionary intake, stress, and subjective sleep fulfillment rate. Based on the results of this study, we need to search for the measures to help underweight adolescents recover their proper weight.

Oral symptoms experienced by adolescents based on Body Mass Index (체질량지수에 따른 청소년의 구강증상 경험)

  • Kim, Young-Suk
    • Journal of the Korea Convergence Society
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    • v.12 no.3
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    • pp.317-323
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    • 2021
  • The purpose of this study was to analyze the oral symptoms experienced by adolescents according to Body Mass Index. We analyzed the data using the Korea Youth Risk Behavior Web-based Survey and conducted complex-sample descriptive statistics on 55,728 participants. The prevalence of sensitive teeth, tooth pain, gingival bleeding, and swelling was highest in the overweight group (36.8%, 23.9%, and 19.2%) and lowest in the underweight group (34.6%, 20.8%, and 17.0%) (p<0.001). Tooth pain, gingival bleeding, and swelling were significantly higher (all 1.08) in the overweight group than in the normal group. Halitosis was 1.19-and 1.43-higher in the overweight and obese groups, respectively. The relationship between systemic diseases and oral health among adolescents should be further investigated.

Comparison of the Prediction Model of Adolescents' Suicide Attempt Using Logistic Regression and Decision Tree: Secondary Data Analysis of the 2019 Youth Health Risk Behavior Web-Based Survey (로지스틱 회귀모형과 의사결정 나무모형을 활용한 청소년 자살 시도 예측모형 비교: 2019 청소년 건강행태 온라인조사를 이용한 2차 자료분석)

  • Lee, Yoonju;Kim, Heejin;Lee, Yesul;Jeong, Hyesun
    • Journal of Korean Academy of Nursing
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    • v.51 no.1
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    • pp.40-53
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    • 2021
  • Purpose: The purpose of this study was to develop and compare the prediction model for suicide attempts by Korean adolescents using logistic regression and decision tree analysis. Methods: This study utilized secondary data drawn from the 2019 Youth Health Risk Behavior web-based survey. A total of 20 items were selected as the explanatory variables (5 of sociodemographic characteristics, 10 of health-related behaviors, and 5 of psychosocial characteristics). For data analysis, descriptive statistics and logistic regression with complex samples and decision tree analysis were performed using IBM SPSS ver. 25.0 and Stata ver. 16.0. Results: A total of 1,731 participants (3.0%) out of 57,303 responded that they had attempted suicide. The most significant predictors of suicide attempts as determined using the logistic regression model were experience of sadness and hopelessness, substance abuse, and violent victimization. Girls who have experience of sadness and hopelessness, and experience of substance abuse have been identified as the most vulnerable group in suicide attempts in the decision tree model. Conclusion: Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt.