Doo Nam Oh

doi:10.4040/jkan.2012.42.3.311

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Original Article
Structural Equation Modeling on Successful Aging in Elders - Focused on Selection · Optimization · Compensation Strategy -: Doo Nam Oh; Journal of Korean Academy of Nursing 2012;42(3):311-321.
DOI: https://doi.org/10.4040/jkan.2012.42.3.311
Published online: June 29, 2012

Assistant Professor, Department of Nursing · The Research Institute for Basic Science, Hoseo University, Asan, Korea.

Address reprint requests to: Oh, Doo Nam. Department of Nursing, Hoseo University, 165 Sechul, Baebang, Asan, Chungnam 336-795, Korea. Tel: +82-41-540-9532, Fax: +82-41-540-9558, doonoh@hoseo.edu

• Received: May 2, 2011 • Accepted: May 22, 2012

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Abstract
NOTES
REFERENCES

Abstract

Purpose
This study was designed to construct and test a structural equation modeling on specific domain health status and the Selection · Optimization · Compensation (SOC) strategy affecting successful aging in elderly people.
Methods
The model construction was based on the SOC model by Baltes and Baltes. Interviews were done with 201 elderly people aged 65 or older. Interview contents included demographics, functional health status, emotional health status, social health status, SOC strategies, and successful aging. Data were analyzed using SPSS 15.0 and AMOS 7.0.
Results
Model fit indices for the modified model were GFI=.93, CFI=.94, and RMSEA=.07. Three out of 7 paths were found to have a significant effect on successful aging in this final model. Functional health status had a direct and positive effect on successful aging. Emotional health status influenced successful aging through SOC strategies.
Conclusion
This study suggests that interventions for improving functional health status and for strengthening SOC strategies are critical for successful aging. Continuous development of a variety of successful aging programs using SOC strategy is suggested.
Keywords: Health status; Aging; Selection · optimization · compensation strategy; Structural model

This article is based on a part of the first author's doctoral thesis from Seoul National University.

REFERENCES

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Figure 1

Conceptual framework of the study based on SOC model.

Figure 2

The hypothetical model.

Figure 3

The final model on successful aging in the elderly.

Table 1

Descriptive Statistics of the Measured Variables (N=201)

Table 2

Standardized Direct, Indirect, Total Effects for the Modified Model

SDE=Standardized direct effect; SIE=Standardized indirect effect; STE=Standardized total effect; SMC=Squared multiple correlation.

^*p<.05; ^**p<.001.

Figure & Data

REFERENCES

Citations

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Structural Equation Modeling on Successful Aging in Elders - Focused on Selection · Optimization · Compensation Strategy -

J Korean Acad Nurs. 2012;42(3):311-321. Published online June 29, 2012

DOI: https://doi.org/10.4040/jkan.2012.42.3.311

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Structural Equation Modeling on Successful Aging in Elders - Focused on Selection · Optimization · Compensation Strategy -

Figure 1 Conceptual framework of the study based on SOC model.

Figure 2 The hypothetical model.

Figure 3 The final model on successful aging in the elderly.

Figure 1

Figure 2

Figure 3

Structural Equation Modeling on Successful Aging in Elders - Focused on Selection · Optimization · Compensation Strategy -

Table 1

Descriptive Statistics of the Measured Variables (N=201)

Table 2

Standardized Direct, Indirect, Total Effects for the Modified Model

SDE=Standardized direct effect; SIE=Standardized indirect effect; STE=Standardized total effect; SMC=Squared multiple correlation.

^*p<.05; ^**p<.001.

Table 1 Descriptive Statistics of the Measured Variables (N=201)

Table 2 Standardized Direct, Indirect, Total Effects for the Modified Model

SDE=Standardized direct effect; SIE=Standardized indirect effect; STE=Standardized total effect; SMC=Squared multiple correlation.

^*p<.05; ^**p<.001.