• Title/Summary/Keyword: Explaining model

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Factors Associated with Gastric Cancer Screening of Koreans Based on a Socio-ecological Model (사회생태학적 모형에 기반한 한국인 위암검진 수검의 관련 요인)

  • Bae, Sang-Soo;Jo, Heui-Sug;Kim, Dong-Hyun;Choi, Yong-Jun;Lee, Hun-Jae;Lee, Tae-Jin;Lee, Hye-Jean
    • Journal of Preventive Medicine and Public Health
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    • v.41 no.2
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    • pp.100-106
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    • 2008
  • Objectives : We measured behavioral factors associated with Koreans receiving gastric cancer screening based on a socio-ecological model, in part to develop strategies to improve cancer screening rates. Methods : A telephone survey was conducted with 2,576 people chosen through stratified random sampling from April 1 - May 31, 2004. Collected information included gastric cancer screening, socio-demographic factors, and socio-ecological factors at intrapersonal, interpersonal, community, and public policy levels. Results : Among 985 survey respondents(380 men and 605 women), 402 had received gastric cancer screening. Logistic analysis was performed to compare those screened and unscreened. 'Age' was the only demographic factor that showed a statistically significant association with getting screening. People in their fifties (OR=1.731, 95% CI=1.190-2.520) and sixties (OR=2.098, 95% CI=1.301-3.385) showed a higher likelihood of getting screened, compared to those in the forties. 'Accessibility to a medical institution' was a significant factor related to having gastric cancer screening at the intrapersonal level. At the interpersonal level, recommendations by family members to be screened and a family practice of routine cancer screening were significantly related. People with frequent education about cancer screening or with stronger social feelings that cancer screening is necessary also demonstrated significantly higher tendencies to be screened. Conclusions : In conclusion, a socio-ecological model seems appropriate for explaining gastric cancer screening behavior and associated factors. Health planners should develop integrated strategies to improve cancer screening rates based on socio-ecological factors, especially at the interpersonal and community levels.

Factors Associated with the Smoking Cessation Behavior according to the Transtheoretical Model in Korean College Students (범이론적 모델에 근거한 한국 대학생의 금연행위 관련 요인)

  • Paek, Kyung-Shin;Riley, Tracy A.
    • Korean Journal of Health Education and Promotion
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    • v.27 no.5
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    • pp.27-39
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    • 2010
  • Objectives: The purposes of this study were to examine the contribution of each of the Transtheoretical Model components in explaining stages of smoking cessation and to identify factors associated with the smoking cessation behavior among Korean college students. Methods: The participants for this study were 334 undergraduate students who enrolled in general education courses. Self-report surveys were distributed and returned. The survey variables comprised the stages of change for smoking cessation, self-efficacy, decisional balances and processes of change in smoking cessation. Results: Significant differences were noted in the five stages of change for self-efficacy, decisional balance, and the processes of change. The strongest factor associated with the smoking cessation behavior was self-efficacy. Conclusion: Study findings indicate application of the Transtheoretical Model may be useful to enhance future smoking cessation efforts in college students. The strategies to enhance smoking cessation self-eficacy in college students will be an important intervention component in future studies.

A Study for Effects of Economic Growth Rate and Unemployment Rate to Suicide Rate in Korea (우리나라에서 경제성장률과 실업률이 자살률에 미치는 영향)

  • Park, Jong-Soon;Lee, June-Young;Kim, Soon-Duck
    • Journal of Preventive Medicine and Public Health
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    • v.36 no.1
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    • pp.85-91
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    • 2003
  • Objectives : We investigated the effects of the economic growth and unemployment rates on the suicide rate in Korea, between 1983 and 2000, using a time-series regression model. The purpose of this study was to model and test the magnitude of the rate of suicide, with the Korean unemployment rate and GDP. Methods : Using suicide rate per 100,000 Koreans and the unemployment rates between 1983 and 2000, as published by the Korea National Statistical Office, and the rate of fluctuation of the Korean GDP (Gross Domestic Product), as provided by the Bank of Korea, as an index of the economic growth rate, a time-series regression analysis, with a first-order autoregressive regression model, was peformed. Results : An 81.5% of the variability in the suicide rate was explained by GDP, and 82.6% Of that was explained by the unemployment rate. It was also observed that the GDP negatively correlated with the suicide rate, while the unemployment and suicide rates were positively correlated. For subjects aged over 20, both the GDP and unemployment rate were found to be a significant factors in explaining suicide rates, with coefficients of determination of 86.5 and 87.9%, respectively. For subjects aged under 20, however, only the GDP was found to be a significant factor in explaning suicide rates (the coefficient of determination is 38.4%). Conclusion : It was found that the suicide rate was closely related to the National's economic status of Korea, which is similar to the results found in studies in other countries. We expected, therefore, that this study could be used as the basis for further suicide-related studies.

Structural Equation Modeling of Self-Management in Patients with Hemodialysis (혈액투석환자의 자기관리 구조모형)

  • Cha, Jieun
    • Journal of Korean Academy of Nursing
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    • v.47 no.1
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    • pp.14-24
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    • 2017
  • Purpose: The purpose of this study was to construct and test a hypothetical model of self-management in patients with hemodialysis based on the Self-Regulation Model and resource-coping perspective. Methods: Data were collected from 215 adults receiving hemodialysis in 17 local clinics and one tertiary hospital in 2016. The Hemodialysis Self-management Instrument, the Revised Illness Perception Questionnaire, Herth Hope Index and Multidimensional Scale of Perceived Social Support were used. The exogenous variable was social context; the endogenous variables were cognitive illness representation, hope, self-management behavior, and illness outcome. For data analysis, descriptive statistics, Pearson correlation analysis, factor analysis, and structural equation modeling were performed. Results: The hypothetical model with six paths showed a good fitness to the empirical data: GFI=.96, AGFI=.90, CFI=.95, RMSEA=.08, SRMR=.04. The factors that had an influence on self-management behavior were social context (${\beta}=.84$), hope and cognitive illness representation (${\beta}=.37$ and ${\beta}=.27$) explaining 92.4% of the variance. Self-management behavior mediated the relationship between psychosocial coping resources and illness outcome. Conclusion: This research specifies a more complete spectrum of the self-management process. It is important to recognize the array of clinical resources available to support patients' self-management. Healthcare providers can facilitate self-management through collaborative care and understanding the ideas and emotions that each patient has about the illness, and ultimately improve the health outcomes. This framework can be used to guide self-management intervention development and assure effective clinical assessment.

Explaining the Development of Social Policy: Social Policy Preferences and Political Institution (선호와 정치제도를 중심으로 한 사회정책 발달이론의 모색)

  • Hong, Kyung-Zoon
    • Korean Journal of Social Welfare
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    • v.61 no.4
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    • pp.35-59
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    • 2009
  • This paper presents a formal model of social policy development. The model shows that the development of social policy depends both on the social policy preferences of voters and on the political institution which mediates the preferences of voters. In the direct democracy, median voter's social policy preference is critical because he is Condorcet winner in a pairwise vote. But in the representative democracy, political parties design social policy to win the support of a majority of voters. Hence, the political institution like electoral rule may affect social policy outcome. The model presented in this paper contrasts 3 alternative constitutional features and investigates how they affect social policy outcome. In result, this papers emphasizes that policy preferences of voters and political institution may be key variables to explain social policy development and divergence among welfare regimes.

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A Study on Web-Site Evaluation Factors Affecting Students' Satisfaction Level in Science Class (사용자 중심의 웹사이트 구축을 위한 주요 평가요인에 관한 실증 연구 : 과학관련 사이트를 중심으로)

  • Han, Kwang-Hyun;Ahn, Jung Lyel;Kim, Mi-Ryang
    • The Journal of Korean Association of Computer Education
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    • v.7 no.3
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    • pp.67-78
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    • 2004
  • Since the 7th National Curriculum was established, ICT has emerged as an indispensable tool for teaching a variety of subjects in K-12 education systems. This paper develops the model for explaining the factors affecting students' satisfaction level in using web contents for science class. Based on data collected from a questionnaire survey from the students who evaluated the web sites providing the information related to the science subject, the structural equation model is presented. From this model, a following conclusion is provided : credibility and understandability/motivation are the most important factors affecting the level of satisfaction, but the presentation method, the screen design as well as contents itself has indirect impact on user satisfaction through understandability/motivation. Other interesting results are also provided. This result might provide the useful guidelines for designing the web-contents for science class in high school.

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Collaborative Tag-Based Recommendation Methods Using the Principle of Latent Factor Models (잠재 요인 모델의 원리를 이용한 협업 태그 기반 추천 방법)

  • Kim, Hyoung-Do
    • The Journal of Society for e-Business Studies
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    • v.14 no.4
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    • pp.47-57
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    • 2009
  • Collaborative tagging systems allow users to attach tags to diverse sharable contents in social networks. These tags provide usefulness in reusing the contents for all community members as well as their creators. Three-dimensional data composed of users, items, and tags are used in the collaborative tag-based recommendation. They are generally more voluminous and sparse than two-dimensional data composed of users and items. Therefore, there are many difficulties in applying existing collaborative filtering methods directly to them. Latent factor models, which are also successful in the area of collaborative filtering recently, discover latent features(factors) for explaining observed values and solve problems based on the features. However, establishing the models require much time and efforts. In order to apply the latent factor models to three-dimensional collaborative filtering data, we have to overcome the difficulty of establishing them. This paper proposes various methods for determining preferences of users to items via establishing an intuitive model by assuming tags used for items as latent factors to users and items respectively. They are compared using real data for concluding desirable directions.

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Study on Enhancement Problem Solving Ability through Science Writing Activities (과학 글쓰기 활동을 통한 문제해결력 신장 방안에 대한 연구)

  • Park, Hyejin;Kang, Soonhee
    • Journal of the Korean Chemical Society
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    • v.58 no.6
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    • pp.649-657
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    • 2014
  • The purpose of this study was to develop a teaching strategy focused on science writing and to investigate its effects on enhancing students' problem solving ability. A teaching strategy using science writing enhancing problem solving ability (REWS model) was designed. The REWE model consisted of four stages: 1) Sensing and Stating of Scientific Problem by Reading (R stage), 2) Exploring Problem (E stage) 3) Explaining by Writing (W stage), 4) Integrated problem-solving (S stage). 135 10th grade of students were assigned to one experimental group and one control group. Students in the experiment group were taught by REWE model. Students in control group were taught by traditional lecture-based instructions. The program was implemented over a semester. The results indicated that the experimental group presented statistically meaningful improvement in critical thinking necessary to solve problems (p<.05). This study suggests that science writing can be effective for improvement of problem solving ability.

Developing the Index of Foodborne Disease Occurrence (식중독 발생지수 개발)

  • Choi, Kook-Yeol;Kim, Byung-Soo;Bae, Wha-Soo;Jung, Woo-Seok;Cho, Young-Joon
    • The Korean Journal of Applied Statistics
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    • v.21 no.4
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    • pp.649-658
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    • 2008
  • As the Eating Out Businesses are making rapid progress and most of the schools and the firms serve the meals, the foodborne disease has occurred increasingly and lots of researches and the policies are studied to prevent it. In Korea, the foodborne disease index for prevention is developed by using bacterial growth rate on the temperature to give the information about the danger level of the foodborne disease, but the gap between real status of the occurrences and the predicted danger level has been pointed out. This study aims at developing the index of the foodborne occurrence based on the log linear model using the data of the foodborne disease occurrence and the meteorological data for the last three years($2004{\sim}2006$). Comparison between the new index and the existing index showed that the new index is better in explaining the foodborne disease occurrence.

The Adoption Model of Institutional Repositories: Which Constructs Attract Scientists to Share Their Research Outputs? (기관리포지터리 수용모형 연구: 과학분야 연구자를 중심으로)

  • Hwang, Hyekyong;Lee, Jee Yeon
    • Journal of the Korean Society for information Management
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    • v.34 no.2
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    • pp.47-80
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    • 2017
  • The purpose of this study is to develop an adoptive model of institutional repositories (IRs) by identifying the key factors affecting adoptive intention of IRs and explaining the relations among these factors. Through a survey of 270 researchers and 12 in-depth interviews in the field of physics, mathematics, and life science in Korea, performance expectancy, perceived risks, socio-organizational influence, and individual characteristics were found to have substantial influences on the adoptive intention of IRs. Among the key factors, individual characteristics showed the greatest effect on the adoptive intention of IRs, followed by performance expectancy and other socio-organizational influences except for the perceived risks. Strategies to enhance the adoptive intention of IRs based on analyses of the results were suggested, in terms of the reformation of research assessment system at the national level, strengthening of role of the operational institution, and the need for voluntary scientists-participating service.