Development of a Structural Equation Model to estimate University Students' Depression
Journal of Korean Academy of Nursing
;
: 779-788, 2008.
Article
in Korean
| WPRIM
| ID: wpr-43827
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Social Support
/
Stress, Psychological
/
Students
/
Universities
/
Adaptation, Psychological
/
Surveys and Questionnaires
/
Data Interpretation, Statistical
/
Self Efficacy
/
Depression
/
Models, Psychological
Type of study:
Prognostic study
/
Qualitative research
Limits:
Adolescent
/
Adult
/
Female
/
Humans
/
Male
Language:
Korean
Journal:
Journal of Korean Academy of Nursing
Year:
2008
Type:
Article
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