Seulki Son

Ms. Seulki Son

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 August 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
SSSeulki Son
Seulki Son
YLYoon Hyeon Lee
Yoon Hyeon Lee
SJSarang Jang
Sarang Jang
The Coronavirus Disease 2019 (COVID-19) pandemic has increased the global demand for disinfection services. Disinfection work involves specialized expertise in the use of chemicals and equipment. However, many studies have not illuminated the essential knowledge and practices of disinfection workers. This study aims to investigate factors influencing disinfection practices to enhance the quality and safety of infection-control measures. A cross-sectional descriptive study among 215 disinfection workers in South Korea was undertaken. The survey questionnaire was designed to collect information on demographic characteristics, disinfection methods, knowledge of COVID-19 disinfectants and their application, and the use of personal protective equipment. Data were analyzed using SPSS 26. Participants who received COVID-19 disinfection training had more knowledge regarding disinfectant products, demonstrated greater adherence to disinfection guidelines, and used more disposable PPE items. The multiple linear regression analysis revealed that being female, completing prior training on COVID-19 disinfection, obtaining disinfectant information through official education, and possessing a subjective awareness of COVID-19 disinfectants and disinfectant knowledge were associated with increased compliance with guidelines for disinfection. This study revealed a gap between perceived compliance and actual knowledge between groups. These findings highlight the importance of retraining disinfection workers, enhancing their qualifications, and promoting responsible disinfection practices.


12 May 2026 in Nutrients
Verified
Journal Article
Open access
PDF file
SJSarang Jang
Sarang Jang
SSSeulki Son
Seulki Son
Background/Objectives: Mobile health (mHealth) interventions are commonly used in public healthcare systems to support chronic disease prevention and self-management. However, limited evidence exists regarding the structural composition and theoretical alignment of counseling message content delivered through such programs. This study aimed to identify the latent content structure of nutrition counseling messages for adults with impaired fasting glucose (IFG) and to evaluate their alignment with the Information–Motivation–Behavioral Skills (IMBs) model. Methods: A total of 3130 de-identified nutrition counseling messages from 532 adults with IFG enrolled in a nationwide public mobile healthcare program in South Korea were analyzed. A Structural Topic Model (STM), with program phase (months 1–6) as a prevalence covariate, was applied to identify latent topics and temporal variation in topic prevalence. The resulting topics were independently classified into the three constructs of the IMB model by two researchers, with 90% inter-rater agreement, to assess the theoretical alignment of message content. Results: STM identified ten topics, which were classified as information (seven topics, 64.3%), behavioral skills (two topics, 28.5%), and motivation (one topic, 7.2%). The program phase was a significant predictor of prevalence for 9 of the 10 topics, with information surging to 88.7% in Phase 4 due to seasonal food safety messaging. Behavioral skills topics were most prevalent at Phase 1 and Phase 6, whereas motivation remained consistently low throughout the intervention. Conclusions: Nutrition counseling messages were heavily weighted toward information delivery, with limited motivational content, suggesting an imbalance in the key components required for behavior change under the IMB framework. Temporal patterns appeared to follow operational or seasonal factors rather than a theory-driven progression. These findings highlight the need for more theory-informed message design in public mobile healthcare programs, with the potential for AI-assisted approaches to enable personalized and adaptive counseling content.