J Korean Acad Community Health Nurs.  2019 Dec;30(4):449-459. 10.12799/jkachn.2019.30.4.449.

Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis

• Kim E
• Kim H
• Yoon JY

• KMID: 2467646
• DOI: http://doi.org/10.12799/jkachn.2019.30.4.449

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.

Keyword

One-person household; Subjective health; Latent class analysis

Figure

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  Figure 1. Latent classes of self-rated health trajectories.

Reference

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