Browse > Article
http://dx.doi.org/10.15207/JKCS.2018.9.10.243

Development of Predictive Model of Social Activity for the Elderly in Korea using CRT Algorithm  

Byeon, Haewon (Department of Speech Language Pathology, Honam University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.10, 2018 , pp. 243-248 More about this Journal
Abstract
The social activities of the elderly are important in successfully achieving aging by providing opportunities for social interaction to enhance life satisfaction. The purpose of this study is to identify the related factors of the elderly social activities and build a statistical classification model to predict social activities. Subjects were 1,864 elderly people (829 males, 1,035 females) who completed the community health survey in 2015. Outcome variables were defined as the experience of social activity during the past month(yes, no). The prediction model was constructed using decision tree model based on Classification and Regression Trees (CRT) algorithm. The results of this study were subjective health, frequency of meeting with neighbors, frequency of meeting with relatives, and living with spouse were significant variables of social participation. The most prevalent predictor was the subjective health level. In order to prepare for the successful aging of the super aged society based on the results of this study, social attention and support for the social activities of the elderly are required.
Keywords
Successful aging; Social activities; Elderly; Subjective health; Prediction model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 M. Hwang & S. Jung. (2011). The ageing society of Korea and the population estimate. Korea Journal of Population Studies, 34(2), 113-133. UCI : http://uci.or.kr/G704-000152.2011.34.2.004
2 A. Sarvimäki & B. Stenbock‐Hult. (2000). Quality of life in old age described as a sense of well‐being, meaning and value. Journal of Advanced Nursing, 32(4), 1025-1033. DOI: https://doi.org/10.1046/j.1365-2648.2000.01568.x   DOI
3 S. Kwon & M. R. Reich. (2005). The changing process and politics of health policy in Korea. Journal of Health Politics Law, 30(6), 1003-1026. DOI: https://doi.org/10.1215/03616878-30-6-1003   DOI
4 V. H. Menec. (2003). The relation between everyday activities and successful aging: A 6-year longitudinal study. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(2). S74-S82. DOI: https://doi.org/10.1093/geronb/58.2.S74   DOI
5 K. R. Fox. (1999). The influence of physical activity on mental well-being. Public health nutrition, 2(3a), 411-418. DOI: https://doi.org/10.1017/S1368980099000567   DOI
6 H. Byeon. (2015). The factors of participating in a smoking cessation program using integrated method of decision tree and neural network algorithm. Journal of the Korea Convergence Society, 6(2), 25-30. DOI : 10.15207/JKCS.2015.6.2.025   DOI
7 T. W. Lee, I. S. Ko & K. J. Lee. (2006). Health promotion behaviors and quality of life among community-dwelling elderly in Korea: A cross-sectional survey. International journal of nursing studies, 43(3), 293-300. DOI: https://doi.org/10.1016/j.ijnurstu.2005.06.009   DOI
8 M. Tajvar, M. Arab & A. Montazeri. (2008). Determinants of health-related quality of life in elderly in Tehran, Iran. BMC public health, 8(1), 323. DOI: https://doi.org/10.1186/1471-2458-8-323   DOI
9 A. Bowling & P. Dieppe. (2005). What is successful ageing and who should define it?. Bmj, 331(7531), 1548-1551. DOI: https://doi.org/10.1136/bmj.331.7531.1548   DOI
10 Korea Center for Disease Control and Prevention. (2017). National sample design for 2015 community health survey. Seoul: Korean Association for Survey Research.
11 J. Choi & D. Seo. (1999). Decision trees and its applications. Journal of Korean Official Statistics, 4(1), 61-83.
12 Y. Takeyachi, S. I. Konno, K. Otani, K. Yamauchi, I. Takahashi, Y. Suzukamo & S. I. Kikuchi. (2003). Correlation of low back pain with functional status, general health perception, social participation, subjective happiness, and patient satisfaction. Spine, 28(13), 1461-1466. DOI: 10.1097/01.BRS.0000067091.88283.B6   DOI
13 M. Pinquart. (2001). Correlates of subjective health in older adults: A meta-analysis. Psychology and aging, 16(3), 414-426.   DOI
14 H. G. Koo. (2016). A study on proposal to develop senior related policies : convergence approach of both age norm and hoping activities. Journal of Digital Convergence, 14(4), 101-110. DOI : http://doi.org/10.14400/JDC.2016.14.4.101   DOI
15 T. E. Seeman, T. M. Lusignolo, M. Albert & L. Berkman. (2001). Social relationships, social support, and patterns of cognitive aging in healthy, high-functioning older adults: MacArthur studies of successful aging. Health psychology, 20(4), 243. DOI: http://dx.doi.org/10.1037/0278-6133.20.4.243   DOI