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"In-Hye Song"

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"In-Hye Song"

Original Articles
Purpose
This study compared healthy lifestyle (HLS) practices and awareness regarding the use of chatbots (A-uC) for health management between childhood and adolescent cancer survivors (CACSs) and their parents, with the aim of assessing the feasibility of tailored artificial intelligence (AI) chatbot-based interventions for holistic survivorship care.
Methods
A descriptive comparative design was employed involving 80 CACSs and 80 parents (N=160) recruited through the Korean Pediatric Cancer Foundation. HLS practices were assessed using a validated seven-domain instrument encompassing physical activity, nutrition, interpersonal relations, stress management, positive life perspective, health responsibility, and spiritual health. A-uC was evaluated using an extended technology acceptance model-based tool. Responses to the open-ended question addressing unmet HLS practices were analyzed using latent Dirichlet allocation topic modeling.
Results
No significant differences were observed between CACSs and parents in overall HLS (CACSs: 3.16±0.80; parents: 3.18±0.36, p=.74). While perceptions across most A-uC domains did not differ significantly, parents demonstrated a significantly higher “intention to use” chatbots for health management than CACSs (p=.03). The mean A-uC scores exceeded 4 (out of 5) in both groups, reflecting positive perceptions of chatbot-based HLS support. Topic modeling identified “exercise,” “healthy diet,” and “regular lifestyle” as common unmet areas.
Conclusion
CACSs and their parents share largely concordant views on HLS and A-uC, with a strong interest in chatbot interventions. These findings underscore the potential of tailored AI chatbot programs to address unmet lifestyle needs and promote holistic survivorship care.
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  • 12 Download
Infant-rearing experiences of parents during the COVID-19 pandemic in South Korea: a mixed-methods approach
In-Hye Song, Kyung-Ah Kang
Child Health Nurs Res 2024;30(1):31-44.   Published online January 31, 2024
DOI: https://doi.org/10.4094/chnr.2023.051
Purpose
This study aimed to identify the infant-rearing experiences of parents during the coronavirus disease 2019 (COVID-19) pandemic and provide foundational data for the development of infant-rearing support programs during pandemic situations. Methods: Convergent mixed methods were used to better understand the research outcomes by converging both quantitative and qualitative data. A total of 149 parents with infant-rearing experiences during the pandemic responded to a self-report survey, and 10 parents participated in the interviews. Data were analyzed using Colaizzi’s method, descriptive statistics, t-test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and hierarchical regression. Results: Analysis of qualitative data yielded the following three categories: five theme clusters, ten themes, and thirty-nine sub-themes. The factors influencing infant-rearing behavior were nuclear family (β=.34, p<.001) and rearing stress (β=-.39, p<.001). The explanatory power of the regression equation was 26.6%. Conclusion: Infectious disease disasters, such as the COVID-19 pandemic, can quickly alter infant-rearing conditions, causing heightened parental anxiety. This may affect infant-rearing behaviors and hinder healthy infant development. Future research should develop a comprehensive tool to measure holistic health-related parenting behaviors across the different stages of child development. Additionally, pediatric nurse practitioners can play an active role in educating parents, supporting parenting, and promoting healthy infant development in their communities, making pediatric nurse practitioners a highly relevant and necessary healthcare profession during infectious disease disasters. Thus, there is a need to improve institutions and build infrastructure at the national level to support them.

Citations

Citations to this article as recorded by  
  • Trends in Prevalent Cases and Disability‐Adjusted Life‐Years of Depressive Disorders Worldwide: Findings From the Global Burden of Disease Study From 1990 to 2021
    Xiao-dan Chen, Feng Li, Hui Zuo, Feng Zhu, Ruhai Bai
    Depression and Anxiety.2025;[Epub]     CrossRef
  • 4,265 View
  • 82 Download
  • 1 Crossref
Purpose
This study analyzed research trends in infant and toddler rearing behavior among family caregivers over a 10-year period (2010-2021).
Methods
Text network analysis and topic modeling were employed on data collected from relevant papers, following the extraction and refinement of semantic morphemes. A semantic-centered network was constructed by extracting words from 2,613 English-language abstracts. Data analysis was performed using NetMiner 4.5.0.
Results
Frequency analysis, degree centrality, and eigenvector centrality all revealed the terms ''scale," ''program," and ''education" among the top 10 keywords associated with infant and toddler rearing behaviors among family caregivers. The keywords extracted from the analysis were divided into two clusters through cohesion analysis. Additionally, they were classified into two topic groups using topic modeling: "program and evaluation" (64.37%) and "caregivers' role and competency in child development" (35.63%).
Conclusion
The roles and competencies of family caregivers are essential for the development of infants and toddlers. Intervention programs and evaluations are necessary to improve rearing behaviors. Future research should determine the role of nurses in supporting family caregivers. Additionally, it should facilitate the development of nursing strategies and intervention programs to promote positive rearing practices.

Citations

Citations to this article as recorded by  
  • The impact of grandchild caregiving on depression among grandparents: a scoping review
    Jiajing Hu, Nan Zhang, Patreeya Kitcharoen
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Infant-rearing experiences of parents during the COVID-19 pandemic in South Korea: a mixed-methods approach
    In-Hye Song, Kyung-Ah Kang
    Child Health Nursing Research.2024; 30(1): 31.     CrossRef
  • 4,785 View
  • 90 Download
  • 2 Crossref
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