Later-Life Preparation Patterns on Depression Among Korean Baby Boom Generations

Seok In Nam, Junpyo Kim, Jimin Shin, Arram Yim

Research output: Contribution to journalArticle

Abstract

The aim of this study was to examine the later-life preparation pattern of Korean baby boomers and its effect on depression. Using the fourth wave of Korean Retirement and Income Study, later-life preparation was measured by economic, physical, and psychological preparation, and leisure, and family relationship satisfaction. The data analysis included latent class analysis, correlations, multiple logistic regression, and analysis of variance. Later-life patterns of Korean baby boomers were classified as high-level (35.7%), low-level (31.1%), and health and family relationship (33.2%) preparation patterns. For depression, the low-level pattern was associated with significantly higher level of depression; however, no differences were found in other two patterns. Researchers recommended a postretirement program to reflect the unique characteristics of Korean baby boomers. Moreover, findings regarding the importance of health and family relationships can be applied to other countries that have historical and cultural backgrounds similar to Korea.

Original languageEnglish
Pages (from-to)172-190
Number of pages19
JournalInternational Journal of Aging and Human Development
Volume86
Issue number2
DOIs
Publication statusPublished - 2018 Mar 1

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Family Relations
Population Growth
Depression
Retirement
Leisure Activities
Korea
Health Status
Analysis of Variance
Logistic Models
Regression Analysis
Economics
Research Personnel
Psychology
Health

All Science Journal Classification (ASJC) codes

  • Ageing
  • Developmental and Educational Psychology
  • Geriatrics and Gerontology

Cite this

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Later-Life Preparation Patterns on Depression Among Korean Baby Boom Generations. / Nam, Seok In; Kim, Junpyo; Shin, Jimin; Yim, Arram.

In: International Journal of Aging and Human Development, Vol. 86, No. 2, 01.03.2018, p. 172-190.

Research output: Contribution to journalArticle

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