대학생 우울에 관한 예측모형 구축 = Development of a Structural Equation Model to estimate UniversityStudents’ Depression

다국어 초록 (Multilingual Abstract)

Purpose: This study was designed to construct a structural model explaining depression in university students. Methods:
Data were collected from 1,640 university students by questionnaire, and analyzed using AMOS 5.0 to test the hypothetical
model. Results: Fitness statistics for the modified model were GFI=.93, AGFI=.89, NFI=.91, and RMSEA=.081. All the
12 paths in the modified model proved to be statistically significant. Depression of university students accounted for 52%
of the covariance by the factors. The factor that had the most influence on depression was individual vulnerability, and followed
by sequence order, stress, social support, coping, and self-efficacy. Depression was influenced directly by individual
vulnerability, stress, social support, and coping, and indirectly by individual vulnerability, stress, social support, and selfefficacy.
Conclusion: A screening and management system for the high risk group is needed to effectively prevent depression
and reduce rate of depression in university students. Detailed support programs which specifically deal with prevailing
stressors should be developed to effectively reduce the harmful effects of individual vulnerability and stress. It is anticipated
that the model constructed in this study could be utilized as a reference in developing various strategies to prevent
and intervene depression in university students.

다국어 초록 (Multilingual Abstract)

Purpose: This study was designed to construct a structural model explaining depression in university students. Methods:
Data were collected from 1,640 university students by questionnaire, and analyzed using AMOS 5.0 to test the hypothetical
model. Results: Fitness statistics for the modified model were GFI=.93, AGFI=.89, NFI=.91, and RMSEA=.081. All the
12 paths in the modified model proved to be statistically significant. Depression of university students accounted for 52%
of the covariance by the factors. The factor that had the most influence on depression was individual vulnerability, and followed
by sequence order, stress, social support, coping, and self-efficacy. Depression was influenced directly by individual
vulnerability, stress, social support, and coping, and indirectly by individual vulnerability, stress, social support, and selfefficacy.
Conclusion: A screening and management system for the high risk group is needed to effectively prevent depression
and reduce rate of depression in university students. Detailed support programs which specifically deal with prevailing
stressors should be developed to effectively reduce the harmful effects of individual vulnerability and stress. It is anticipated
that the model constructed in this study could be utilized as a reference in developing various strategies to prevent
and intervene depression in university students.

참고문헌 (Reference)

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