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Hyang Kim 2 Articles
Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis
Eun Joo Kim, Hyang Kim, Ju Young Yoon
J Korean Acad Community Health Nurs. 2019;30(4):449-459.   Published online December 31, 2019
DOI: https://doi.org/10.12799/jkachn.2019.30.4.449
  • 654 View
  • 7 Download
  • 4 Citations
AbstractAbstract PDF
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.

Citations

Citations to this article as recorded by  
  • Trajectories of self-rated health among community-dwelling individuals with depressive symptoms: A latent class growth analysis
    Jinyoung Jang, Hyun-Sung Jung, Kyunghee Chae, Kyoung-Uk Lee
    Journal of Affective Disorders.2023; 332: 83.     CrossRef
  • Prediction model of quality of life using the decision tree model in older adult single-person households: a secondary data analysis
    Dajung Ryu, Sohyune Sok
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Trajectories of subjective health status among married postmenopausal women based on the ecological system theory: a longitudinal analysis using a latent growth model
    Eun Jin Kim, Ju-Hee Nho
    Korean Journal of Women Health Nursing.2022; 28(2): 123.     CrossRef
  • The Multilevel Factors on Physical Activity : A Comparative Study between Young and Elderly Single-Person Households
    Ji-young Kim, Hee-Jung Jun
    Journal of Korea Planning Association.2021; 56(2): 49.     CrossRef
Interventions Using Technologies for Older Adults in Long-term Care Facilities: A Systematic Review
Da Eun Kim, Hyang Kim, Jung Hee Hyun, Hyo Jin Lee, Hye Hyun Sung, So Young Bae, Sung Hee Tak, Yeon Hwan Park, Ju Young Yoon
J Korean Acad Community Health Nurs. 2018;29(2):170-183.   Published online June 30, 2018
DOI: https://doi.org/10.12799/jkachn.2018.29.2.170
  • 674 View
  • 9 Download
  • 4 Citations
AbstractAbstract PDF
PURPOSE
Although innovative interventions using technologies have been introduced in long-term care settings, available evidence is still anecdotal. The purpose of this study is to investigate and synthesize the outcomes of interventions using technologies delivered to nursing home residents.
METHODS
Published clinical trials were identified through PubMed, CINHAL, Cochrane and PsycINFO databases and manually hand-searching. Eligible studies were articles published between 1997–2016 in English or Korean with a randomized controlled trial or quasi-experimental design in which interventions using technologies were delivered to nursing home residents.
RESULTS
A total of 20 studies were selected for this review. Types of interventions using technologies were classified into the electronic documentation technology (n=1), the clinical decision support system (n=1), the safety technology (n=1), the health and wellness technology (n=10), and the social connectedness technology (n=7). Overall resident outcomes indicated that interventions using technologies improved behavioral symptoms and psycho-social outcomes, but mixed results were shown in the aspects of physical function, cognitive function, social relationship and quality of service.
CONCLUSION
This review demonstrates that incorporating technologies into nursing home care have positive effects on residents' psycho-social outcomes and behavioral symptoms. To disseminate the effectiveness of interventions using technologies, further research is needed to determine what mechanisms underlying such relationships exist.

Citations

Citations to this article as recorded by  
  • Assistive Technology for Elderly People: State of the Art Review and Future Research Agenda
    Dhanya Pramod
    Science & Technology Libraries.2023; 42(1): 85.     CrossRef
  • Addressing Mental Health in Aged Care Residents
    Sunil Bhar, Deborah Koder, Hemalatha Jayaram, Mark Silver, Tanya Davison
    Advances in Psychiatry and Behavioral Health.2022; 2(1): 183.     CrossRef
  • A Systemic Review of the Auditory Training Program for Hearing Impairment
    Joo Hong Kim, Sang Hee Lee, Eun Young Cho
    Audiology and Speech Research.2021; 17(2): 134.     CrossRef
  • Developing Geriatric Nursing Competency Using Information and Communication Technology: Focusing on a Case of Depression Assessment
    Heejung Kim, Soyun Hong, Sooyoung Kwon, Namhee Kim
    Journal of Korean Gerontological Nursing.2018; 20(Suppl 1): 119.     CrossRef

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