Seong Eun Kim; Sun Ah Kim

doi:10.4040/jkan.2013.43.3.442

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Original Article
A Predictive Model of Depression in Rural Elders-Decision Tree Analysis: Seong Eun Kim, Sun Ah Kim; Journal of Korean Academy of Nursing 2013;43(3):442-451.
DOI: https://doi.org/10.4040/jkan.2013.43.3.442
Published online: June 28, 2013

¹Department of Nursing, Woosuk University, Jeonbuk, Korea.

²College of Nursing, Yonsei University, Seoul, Korea.

Address reprint requests to: Kim, Seong Eun. Department of Nursing, Woosuk University, 3 Samnyero, Samnye-eup, Wanju-gun, Jeonbuk 565-701, Korea. Tel: +82-63-290-1899, Fax: +82-63-290-1548, fromutos@daum.net

• Received: October 12, 2012 • Accepted: June 6, 2013

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Abstract
NOTES
REFERENCES

Abstract

Purpose
This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders.
Methods
A cross-sectional descriptive survey was done using face-to-face private interviews. Participants included in the final analysis were 461 elders (aged≥ 65 years). The questions were on depression, personal and environmental factors, body functions and structures, activity and participation. Decision tree analysis using the SPSS Modeler 14.1 program was applied to build an optimum and significant predictive model to predict depression in rural elders.
Results
From the data analysis, the predictive model for factors related to depression in rural elders presented with 4 path-ways. Predictive factors included exercise capacity, self-esteem, farming, social activity, cognitive function, and gender. The accuracy of the model was 83.7%, error rate 16.3%, sensitivity 63.3%, and specificity 93.6%.
Conclusion
The results of this study can be used as a theoretical basis for developing a systematic knowledge system for nursing and for developing a protocol that prevents depression in elders living in rural areas, thereby contributing to advanced depression prevention for elders.
Keywords: Depression; Aged; Decision trees

This manuscript is based on a part of the first author's doctoral dissertation from Yonsei University.

REFERENCES

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Figure 1

The predictive model for depression in rural elders.

Table 1

General Characteristics (N=461)

Table 2

Depression According to Characteristics (N=461)

Table 3

Accuracy of the Predictive Model for Depression in Rural Elders (N=461)

Figure & Data

REFERENCES

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