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Woo and Park: A Study on Comparison of Classification and Regression Tree and Multiple Regression for Predicting of Soldiers' Depression
Original Article

Journal of Korean Academy of Psychiatric and Mental Health Nursing 2014; 23(4): 268-277.

Published online: 31 December 2014

DOI: https://doi.org/10.12934/jkpmhn.2014.23.4.268

A Study on Comparison of Classification and Regression Tree and Multiple Regression for Predicting of Soldiers' Depression

Chung Hee Woo, Ju Young Park

College of Nursing, Konyang University, Daejeon, Korea.

Corresponding author: Park, Ju Young. College of Nursing, Konyang University, 158 Gwanjeo-dong-ro, Seo-gu, Daejeon 302-832, Korea. Tel: +82-10-7483-0020, Fax: +82-42-600-6314, jypark@konyang.ac.kr

Received 8 August 2014       Revised 4 November 2014       Accepted 24 November 2014

© 2014 The Korean Academy of Psychiatric and Mental Health Nursing

(open-access):

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

The purpose of this study was to explore status and level of depression, anxiety and self esteem in Korean soldiers and identify effective statistical methods that account for and predict their depression.

Methods

A cross sectional study design was employed. Data were collected from five hundred thirty four soldiers in Gang-won Province and analyzed using stepwise multiple regression and Classification and Regression Tree (CART) with SPSS/WIN 18.0 program.

Results

The mean scores for depression, anxiety and self-esteem were 10.7±9.75, 38.5±10.16 and 31.7±5.20 respectively. Around one-forth (23.6%) of participants were above mild depression level. Major variables showing significant correlations were anxiety, self-esteem, duration of military service and the number of ventilation activities. Anxiety, self-esteem and duration of military service accounted for 62.3% of the variance in depression according to multiple regression. In CART analysis, predicting factors in the high risk group were high level anxiety and uncertain plan after discharge from military.

Conclusion

The result of this study showed that anxiety was major factor of soldiers' depression both in multiple regression and CART. Also, CART applied in this study was an effective method in screening a risk group of soldiers' depression.

Keywords: Military personnel, Depression, Mental health, Regression analysis, Data mining

Figures and Tables

Figure 1
Predicting risk group in depression by classification and regression tree.
jkapmhn-23-268-g001
Table 1
General Characteristics and Level of Major Variables (N=534)
jkapmhn-23-268-i001
Table 2
Difference in Depression according to General Characteristics (N=534)
jkapmhn-23-268-i002
Table 3
Correlations among Variables (N=534)
jkapmhn-23-268-i003
Table 4
Influencing Factors on Depression (N=534)
jkapmhn-23-268-i004

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