• Title/Summary/Keyword: Addiction Model

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Factors related to Adolescents' Sexual Experience (청소년의 성경험 관련요인)

  • Boo, Yun Jeong;Kang, Moon Jung;Yi, Jee Seon
    • Journal of the Korean Society of School Health
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    • v.30 no.2
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    • pp.154-163
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    • 2017
  • Purpose: This study aimed to understand the current situation of Korean adolescents' sexual experience and its characteristics by school level, gender, and related factors to their sexual experience. This could be the basic evidence for the development of various sex education programs for the youth. Methods: This study used the 11th online survey data on youth health behavior (2015) and all 68,043 students who participated in the study were included for the analysis. The binominal logistic regression model was used to identify the characteristics and relevant factors of sexual intercourse experience. Analysis was performed by complex sample design using SPSS/WIN 18.0. The statistical significance was defined as p<.05 with a two-sided test. Results: The factors related to sexual experience of adolescents included grade, sadness and hopelessness, smoking, Internet addiction, and sex education in school, for middle school boys. For middle school girls, grade, residence area, sadness and hopelessness, smoking, drinking, and sex education in school were related. For high school boys, the factors were grade, living with parents, economic situation, sadness and hopelessness, smoking, drinking, and Internet addiction. For high school girls, grade, sadness and hopelessness, smoking, and drinking were found to be related factors. Conclusion: The results of this study suggest that a practical program considering adolescents' level and characteristics should be developed and applied.

AN ADROIT UNRELATED QUESTION RANDOMIZED RESPONSE MODEL WITH SUNDRY STRATEGIES

  • TANVEER AHMAD TARRAY;ZAHOOR AHMAD GANIE
    • Journal of applied mathematics & informatics
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    • v.41 no.6
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    • pp.1377-1391
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    • 2023
  • When sensitive topics such as gambling habits, drug addiction, alcoholism, tax evasion tendencies, induced abortions, drunk driving, past criminal involvement, and homosexuality are the focus of open or direct surveys, it becomes challenging to obtain accurate information due to nonresponse bias and response bias. People often hesitate to provide truthful answers. Warner introduced an ingenious method to address this issue. In this study, a new and unrelated randomized response model is proposed to eliminate misleading responses and nonresponses caused by the stigma associated with the attribute being investigated. The proposed randomized response model allows for the estimation of the population percentage with the sensitive characteristic in an unbiased manner. The characteristics and recommendations of the proposed randomized response model are examined, and numerical examples are provided to support the findings of this study.

The Temperament Characteristics of On-Line and Off-Line Subjects : In Subjects Who Answered Internet Addiction Questionnaires (온라인과 오프라인 설문자의 기질 특성 : 성인 인터넷 중독 검사 설문자를 대상으로)

  • Kim, Geon;Yim, Seon-Jin;Kim, Jin-Hoon;Yoon, Hae-Joo
    • Korean Journal of Psychosomatic Medicine
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    • v.16 no.1
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    • pp.31-37
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    • 2008
  • Objectives : There may be methodological differences between pencil-and-paper and web-based questionnaires. But there are few reports about influences of that methodological differences. The Aim of this study is investigation of the differences in temperament characteristics in subjects who answered internet addiction questionnaires. Methods : We compare the characteristics between two groups. Four hundred thirty participants(189 males, 241 females) answered the online and offline questionnaires. We controlled sexes, addiction scores and psychiatric treatment histories using general linear model of MANCOVA. Results : There were statistically significant differences in temperament characteristics between two groups. Harm avoidance(HA) and novelty seeking(NS) scores were significantly higher in on-line group than off-line group. Reward dependence(RD) scores were significantly lower in on-line group than off-line group. Conclusion : This study suggested significant differences of temperament characteristics between on-line and off-line subjects. And there have been many studies on equivalence of on-line and off-line survey methods. Further studies on the difference are expected for the understanding of this results.

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Quantitative-Structure Activity Relationship (QSAR) Model for Abuse-liability Evaluation of Designer Drugs (합성마약류의 의존성 평가를 위한 구조활성상관(QSAR) 모델 적용)

  • Yun, Jaesuk
    • YAKHAK HOEJI
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    • v.58 no.1
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    • pp.53-57
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    • 2014
  • In recent, the abuse of newly-emerging psychoactive drugs, ('designer drugs') is a rapidly increasing problem in Korean society. Quantitative-structure activity relationship (QSAR) is an alternative method to predict bioactivities of new abused compounds. In this study, cathinone-related new designer drugs, 4-methylbuphedrone and 4-methoxy-N,N-dimethylcathinone were tested for prediction of the bioactivity with QSAR model. The bioactivity of 4-methylbuphedrone and 4-methoxy-N,N-dimethylcathinone was similar to those of methylone. These results suggest that the prediction with QSAR model may provide scientific evidences for regulatory decision.

The Study on the Mobile internet proliferation in Korea (한국에서의 모바일인터넷활용에 관한 연구)

  • Kim, Kyung-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.147-148
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    • 2016
  • The purpose of this paper is to investigate the diffusion process of mobile internet use in Korea and to explore the determinants driving MIU. A survey was conducted to collect data to empirically assess the research model. In total, 543 usable responses were collected using a questionnaire derived from previous research. Both the structural equation model and partial least squares were used to study the model concerning different user groups. Findings, The results indicate that there are significant differences in the users' perceptions of mobile internet usage during its different innovation diffusion stages. Of the determinants, perceived enjoyment is the most important predictor of mobile internet use. In addition to motivating users by making services more enjoyable, the findings suggest that practitioners should take the differences of adopter groups into account. Making the mobile internet easy to use and compatible with users' lifestyles would promote the use of technology as well.

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The Relationship Between the Perception of Stress for care and the Elderly Abuse

  • Kim, Kyung-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.11
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    • pp.169-174
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    • 2015
  • The study is to clarify the relationship among the positive and negative recognition of stress and physical and psychological abuse and neglect aiming at getting the material. They are to prevent elder abuse at the main care worker for frail and dementia elderly. The degree of fitness to the data where positive and negative recognition of main care worker was located as dependent variable. The casual model in which main care worker was located as independent variable. The degree of fitness of casual model was GFI=0.772, CFI=0.795, RESEA=0.067. Among path coefficient included in the previous model, three of figures going toward three of abuse to the elder were statistically significant.

Measuring Industry Regulations Using an Agent-based Model: The Case of Online Games in Korea

  • Taekyung Kim;Seongmin Jeon;Jongil Kim
    • Asia pacific journal of information systems
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    • v.29 no.2
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    • pp.165-180
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    • 2019
  • As game industry prospers, the negative side of games becomes highlighted as well as its contributions to economy growth. In spite of strong arguments for the necessity to regulations as a means to decrease addiction or overindulgence, research has produced future suggestions rather than quantifiable evidence. In this paper, we propose adopting a simulation approach in addition to quantitative approaches to better understand optimal regulatory levels since a simulation approach can visualize unexpected side effects of regulations. In this study, we suggest the application of an agent-based model (ABM) as a smart service to measure the effects of regulatory policies. We review cases applying ABM in various domains and consider the possibility of using an ABM to understand the effectiveness of web board-game regulations. We find that the ABM approach would be useful in several areas, such as the analysis of regulatory effects that reflect a variety of characteristics, the measurement of micro-regulatory effects, and the simulation of regulations.

The Proposal for the Model of Users' Addictions in Social Gaming

  • Anuar, Tengku Fauzan Tengku;Song, Seung Keun
    • Cartoon and Animation Studies
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    • s.40
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    • pp.337-365
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    • 2015
  • The objective of this study proposes the new user's addiction model in 'Social Network Games' (SNGs). Research model is derived from the separation of two characteristics. First one is logical characteristics that includes 'Functional' (F), 'Keystroke' (K), and 'Goal' (G). Second one is feeling characteristics that consists a few factors such as 'Emotion' (E), 'Social' (S), and 'Affection' (A). For the pre-test, a total of 30 participants responded to survey in order to inspect the fitness of research questionnaire, roughly validity of the proposed model, and the direction of this reseach. After that for the main test, a total 300 users participated in this research. The final number of effective participants were 261 because 39 were insincere respondents and without playing SNGs who were excluded. Then we examined the measurement model by performing 'Partial Least Squares - Structural Equation Modeling' (PLS-SEM) analysis to test the research hypothesis empirically. The results of the measurement and structural model test lend support to the proposed research model by providing a good fit to the construct data. Interestingly, the model showed the significant effects of the interaction between eleven hypothesis(H1,H2,H3,H4,H5,H6,H7,H8,H9,H10, H12). Only one hypothesis decision t-value not supported that is involved the relationship between SNGs Addiction and Keystroke, H11(1.193). This research expect to contributes to an exploratory SNGs research to clarify the base of addition and will aids understanding of users' behavior associated with SNGs development.

Chaotic Behavior Phenomena in Love Model with External Environment considering Colored Noise (외부 환경을 가진 사랑 모델에서 컬러 잡음을 고려한 카오스 거동 현상)

  • Shon, Young-Woo;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.2
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    • pp.343-348
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    • 2020
  • During 50 years, the chaotic theory has begun to research with concerning in Mathematics and physics, and it has extended the fields to of engineering and social science. Recently, chaotic theory has progressed as a type of fusion research fused with natural science and social science. Such fused research includes problems for addiction, happiness of human, problem happened between family and love affairs between man and woman. In this paper, we consider the external environment based on love model which is one among fusion research, and when we consider colored noise in the external environment, we verify how the chaotic pattern is affected in the love model through time series and phase portrait.

The Relationship between Depression, Attention Deficit/Hyperactivity Disorder, and Internet Gaming Disorder Through Mediation Model (매개 모형을 통하여 고찰한 우울과 주의력결핍 과잉행동장애, 인터넷 게임장애 사이의 관계)

  • Lee, Seon-Gyu;Kim, Dai-Jin;Cho, Hyun
    • Korean Journal of Biological Psychiatry
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    • v.26 no.2
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    • pp.59-64
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    • 2019
  • Objectives Internet gaming disorder (IGD) is associated with attention deficit/hyperactivity disorder (ADHD) or depression etc. We tried to examine the mediating effects of depression in the relationship between ADHD and IGD. Methods This study was conducted on 2000 people who participated in on-line survey among 14-39 year-old men and women in 2017. And we clarified the relationship among IGD, ADHD, and depression and tested the mediation model. The mean and standard deviation of the main variables were calculated and correlation analysis was performed to confirm the relationship among the main variables. In order to test the mediating effect of depression on the relationship between ADHD and IGD, the structural equation model was implemented using AMOS 21 (IBM). Results There were significant correlations among the variables; IGD, ADHD and depression. Depression had a mediating effect 0.23 (95% confidence interval : 0.17-0.28) in the relationship between IGD and ADHD. Conclusions This study showed that depression can mediate ADHD and IGD. Therefore, the evaluation and management of depression and ADHD should be included in the diagnosis and treatment of IGD.