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KMID : 1104420190300040449
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Research in Community and Public Health Nursing
2019 Volume.30 No. 4 p.449 ~ p.459
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Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis
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Kim Eun-Joo
Kim Hyang
Yoon Ju-Young
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Abstract
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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.
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KEYWORD
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One-person household, Subjective health, Latent class analysis
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