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Sun Young Jung 4 Articles
Construction of the Addiction Prevention Core Competency Model for Preventing Addictive Behavior in Adolescents
Hyun Sook Park, Sun Young Jung
J Korean Acad Nurs 2013;43(6):714-725.   Published online December 31, 2013
DOI: https://doi.org/10.4040/jkan.2013.43.6.714
AbstractAbstract PDF
Purpose

This study was done to provide fundamental data for the development of competency reinforcement programs to prevent addictive behavior in adolescents through the construction and examination of an addiction prevention core competency model.

Methods

In this study core competencies for preventing addictive behavior in adolescents through competency modeling were identified, and the addiction prevention core competency model was developed. It was validated methodologically.

Results

Competencies for preventing addictive behavior in adolescents as defined by the addiction prevention core competency model are as follows: positive self-worth, self-control skill, time management skill, reality perception skill, risk coping skill, and positive communication with parents and with peers or social group. After construction, concurrent cross validation of the addiction prevention core competency model showed that this model was appropriate.

Conclusion

The study results indicate that the addiction prevention core competency model for the prevention of addictive behavior in adolescents through competency modeling can be used as a foundation for an integral approach to enhance adolescent is used as an adjective and prevent addictive behavior. This approach can be a school-centered, cost-efficient strategy which not only reduces addictive behavior in adolescents, but also improves the quality of their resources.

Citations

Citations to this article as recorded by  
  • Effects of a Strength Based I-Change Smoking Cessation Program for Smoking Middle School Boys
    Jung Hee Kim, Yeon Hee Choi
    Journal of Korean Academy of Nursing.2017; 47(2): 164.     CrossRef
  • Health Behaviors and Related Demographic Factors among Korean Adolescents
    YunHee Shin, Sook Jung Kang
    Asian Nursing Research.2014; 8(2): 150.     CrossRef
  • Predictors of Protective Factors for Internet Game Addiction in Middle School Students using Data Mining Decision Tree Analysis
    Young-Ran Kweon, Se-Young Kim
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2014; 23(1): 12.     CrossRef
  • Development of Expert Competency Model for Preventing Adolescent Addictive Behavior and Educational Needs of Psychiatric Mental Health Nurses
    Hyun Sook Park, Sun Young Jung
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2014; 23(4): 199.     CrossRef
  • 212 View
  • 2 Download
  • 4 Crossref
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Development of a Gambling Addictive Behavior Scale for Adolescents in Korea
Hyun Sook Park, Sun Young Jung
J Korean Acad Nurs 2012;42(7):957-964.   Published online December 12, 2012
DOI: https://doi.org/10.4040/jkan.2012.42.7.957
AbstractAbstract PDF
Abstract Purpose

This study was conducted to develop a gambling addictive behavior scale for adolescents.

Methods

The process involved construction of a conceptual framework, initial item search, verification of content validity, selection of secondary items, and extraction of final items. The participants were 299 adolescents from two middle schools and four high schools. Item analysis, factor analysis, criterion validity, internal consistency, and ROC curve were used to analyze the data.

Results

For the final scale, 25 items were selected, and categorized into 4 factors which accounted for 54.9% of the total variance. The factors were labeled as loss of control, life dysfunction from gambling addiction, gambling experience, and social dysfunction from problem gambling. The scores for the scale were significantly correlated with addictive personality, irrational gambling belief, and adolescent's gambling addictive behavior. Cronbach’s alpha coefficient for the 25 items was .94. Scale scores identified adolescents as being in a problem gambling group, a non-problem gambling group, and a non-gambling group by the ROC curve.

Conclusion

The above findings indicate that the gambling addictive behavior scale has good validity and reliability and can be used with adolescents in Korea.

Citations

Citations to this article as recorded by  
  • Cross Validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS) on a Sample of Ontario High School Students
    Nigel E. Turner, Tara Elton-Marshall, Jing Shi, Jamie Wiebe, Angela Boak, Mark van der Maas, Robert E. Mann
    Journal of Gambling Studies.2018; 34(2): 521.     CrossRef
  • Reliability of Instruments Measuring At-Risk and Problem Gambling Among Young Individuals: A Systematic Review Covering Years 2009–2015
    Robert Edgren, Sari Castrén, Marjukka Mäkelä, Pia Pörtfors, Hannu Alho, Anne H. Salonen
    Journal of Adolescent Health.2016; 58(6): 600.     CrossRef
  • Reliability and Validity of Three Instruments (DSM-IV, CPGI, and PPGM) in the Assessment of Problem Gambling in South Korea
    Ki-Joon Back, Robert J. Williams, Choong-Ki Lee
    Journal of Gambling Studies.2015; 31(3): 775.     CrossRef
  • 216 View
  • 1 Download
  • 3 Crossref
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Development of the Structural Model of Adolescent's Risk Behavior
Hyun Sook Park, Sun Young Jung
J Korean Acad Nurs 2011;41(3):364-373.   Published online June 13, 2011
DOI: https://doi.org/10.4040/jkan.2011.41.3.364
AbstractAbstract PDF
Purpose

In this study the fitness of a path model for the relationship among biological risk disposition, sociocultural risk factors, self-control, parent-adolescent communication, and risk behavior in adolescents was examined.

Methods

The participants were 387 adolescents. The data were analyzed with the PASW 18.0 and AMOS 18.0 programs.

Results

Sociocultural risk factors, self-control, and parent-adolescent communication showed a direct effect on risk behavior for adolescents, while biological risk disposition and sociocultural risk factor showed an indirect effect on risk behavior for adolescents. The modified path model of adolescents' risk behavior was showed a good fit with the model (χ2/df=2.37, GFI=.95, AGFI=.92, RMSEA=.06 [.05<RMSEA<.07], NNFI=.95, CFI=.97).

Conclusion

These results suggest that adolescents' risk behavior can be decreased by reducing biological risk disposition and sociocultural risk factor, and increasing parent-adolescent communication and self-control. Thus there is a need to design intervention programs that emphasizes reducing biological risk disposition and sociocultural risk factor and increasing parent-adolescent communication and self-control in order to decrease adolescents' risk behavior.

Citations

Citations to this article as recorded by  
  • Structural Equation Modeling on Clinical Decision Making Ability of Nurses
    Min Kyoung Park, Soukyoung Kim
    Journal of Korean Academy of Nursing.2019; 49(5): 601.     CrossRef
  • A Comparative Study on the Factors Influencing Risk Behaviors of Adolescents Living in Small and Medium-sized Cities and Rural Communities
    Hyun Sook Park, Hyun Ju Yeo, Sun Young Jung
    Journal of the Korean Society of School Health.2016; 29(3): 256.     CrossRef
  • Association of school, family, and mental health characteristics with suicidal ideation among Korean adolescents
    Gyu-Young Lee, Yun-Jung Choi
    Research in Nursing & Health.2015; 38(4): 301.     CrossRef
  • Teenagers with Smartphones Exposed to Sexual Content
    Jeong-Yim Choi, Donghun Chung
    The Journal of the Korea Contents Association.2014; 14(4): 445.     CrossRef
  • 143 View
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  • 4 Crossref
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Development of the Competency Model for Prevention of Adolescent Risk Behavior
Hyun Sook Park, Sun Young Jung
J Korean Acad Nurs 2011;41(2):204-213.   Published online April 30, 2011
DOI: https://doi.org/10.4040/jkan.2011.41.2.204
AbstractAbstract PDF
Purpose

This study was done to identify fundamental data on competency reinforcement programs to prevent adolescent risk behavior by developing and examining a competency model.

Methods

In this study, competences on prevention of adolescent risk behavior were identified through competency modeling, and a competency model was developed and tested for validity.

Results

Competences for prevention of adolescent risk behavior defined by the competency model included the following: self-control, positive mutual understanding between parents and adolescents, and positive connectedness with peer group. Validation of the competency model showed the model to be appropriate.

Conclusion

The competency model for prevention of adolescent risk behavior through competency modeling is expected to be the foundation of an integral approach to enhance competency in adolescents and prevent adolescent risk behavior. This kind of approach can be a school-centered, cost-efficient strategy, which not only reduces adolescent risk behavior but also improves quality of adolescent resources.

Citations

Citations to this article as recorded by  
  • Differences in Health Behavior Profiles of Adolescents in Urban and Rural Areas in a Korean City
    Myungah Chae, Kihye Han
    Healthcare.2021; 9(3): 282.     CrossRef
  • Comparison of characteristics of risk behaviors and injuries between elderly and young population in Korea: application of convergence educational concept
    Yang-Ju Tak
    Journal of Digital Convergence.2015; 13(5): 289.     CrossRef
  • Construction of the Addiction Prevention Core Competency Model for Preventing Addictive Behavior in Adolescents
    Hyun Sook Park, Sun Young Jung
    Journal of Korean Academy of Nursing.2013; 43(6): 714.     CrossRef
  • Effects of Competency Model Based Education Program on Risk Behavior and Competences for Preventing Adolescents' Risk Behavior for Adolescents
    Hyun Sook Park, Sun Young Jung, Eun Jin Kim
    Journal of the Korea Academia-Industrial cooperation Society.2013; 14(4): 1799.     CrossRef
  • Concept Analysis of Health Promotion Competence in Public Health Nurses
    Jeong-Soo Kim
    Journal of Korean Academy of Community Health Nursing.2011; 22(3): 281.     CrossRef
  • 188 View
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  • 5 Crossref
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