Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
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Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis

1인가구의 주관적 건강상태 변화: 잠재계층성장모형을 활용하여

  • Kim, Eunjoo (College of Nursing, Seoul National University) ;
  • Kim, Hyang (College of Nursing, Seoul National University) ;
  • Yoon, Ju Young (College of Nursing.Research Institute of Nursing Science, Seoul National University)
  • 김은주 (서울대학교 간호대학) ;
  • 김향 (서울대학교 간호대학) ;
  • 윤주영 (서울대학교 간호대학.간호과학연구소)
  • Received : 2019.06.10
  • Accepted : 2019.11.07
  • Published : 2019.12.31
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Abstract

Purpose: The aim of this study is to explore different types of self-rated health trajectories among one-person households in Korea. Methods: We used five time-point data derived from Korea Health Panel (2011~2015). A latent growth curve modeling was used to assess the overall feature of self-rated health trajectory in one-person households, and a latent class growth modeling was used to determine the number and shape of trajectories. We then applied multinomial logistic regression on each class to explore the predicting variables. Results: We found that the overall slope of self-rated health in one-person households decreases. In addition, latent class analysis demonstrated three classes: 1) High-Decreasing class (i.e., high intercept, significantly decreasing slope), 2) Moderate-Decreasing class (i.e., average intercept, significantly decreasing slope), and 3) Low-Stable class (i.e., low intercept, flat and nonsignificant slope). The multinomial logistic regression analysis showed that the predictors of each class were different. Especially, one-person households with poor health condition early were at greater risk of being Low-Stable class compared with High-Decreasing class group. Conclusion: The findings of this study demonstrate that more attentions to one-person households are needed to promote their health status. Policymakers may develop different health and welfare programs depending on different characteristics of one-person household trajectory groups in Korea.

Keywords

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