Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis
Journal of Korean Academy of Community Health Nursing
; : 449-459, 2019.
Article
en Ko
| WPRIM
| ID: wpr-785987
Biblioteca responsable:
WPRO
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.
Texto completo:
1
Base de datos:
WPRIM
Tipo de estudio:
Prognostic_studies
Aspecto:
Patient_preference
Idioma:
Ko
Revista:
Journal of Korean Academy of Community Health Nursing
Año:
2019
Tipo del documento:
Article