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J Korean Acad Nurs. 2013 Dec;43(6):714-25. doi: 10.4040/jkan.2013.43.6.714.

[Construction of the addiction prevention core competency model for preventing addictive behavior in adolescents].

[Article in Korean]

Author information

1
College of Nursing, The Research Institute of Nursing Science, Catholic University of Daegu, Daegu, Korea.
2
College of Nursing, The Research Institute of Nursing Science, Catholic University of Daegu, Daegu, Korea. jungsy@cu.ac.kr.

Abstract

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.

KEYWORDS:

Addictive behavior; Adolescent; Competency; Model

PMID:
24487988
DOI:
10.4040/jkan.2013.43.6.714
[Indexed for MEDLINE]
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