Seung-Yeon Kong

Dr. Seung-Yeon Kong


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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29 February 2024 in Healthcare
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Journal Article
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SKSeung-Yeon Kong
Seung-Yeon Kong
MCMi-Kyoung Cho
Mi-Kyoung Cho
As the prevalence of diabetes is rapidly increasing, the use of continuous glucose monitoring, which is effective in improving glycemic control in type 2 diabetes, is increasing. Methods: Systematic review was performed according to PRISMA criteria. The search was conducted for articles published until 31 May 2023 in PubMed, CINAHL, Cochrane Library, EMBASE, ClinicalKey, etc. The meta-analysis involved the synthesis of effect size; tests of homogeneity and heterogeneity; trim and fill plot; Egger’s regression test; and Begg’s test for assessing publication bias. Results: 491 studies were searched, of which 17 studies that met the selection criteria were analyzed. The overall effect on HbA1c was −0.37 (95% CI, −0.63~−0.11, p < 0.001), with HbA1c decreasing significantly after CGM interventions. Sub-analyses showed that the study was statistically significant in those aged 60 years or older, when rt-CGM was used and when the study was performed in multiple centers. Conclusion: The results of this study showed that intervention using CGM was effective in reducing HbA1c in type 2 diabetes. The factors identified in this study can be used as guidelines for developing future CGM intervention programs.

30 November 2024 in Journal of Korean Biological Nursing Science
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Journal Article
Open access
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MCMi-Kyoung Cho
Mi-Kyoung Cho
BKBora Kim
Bora Kim
SKSeung-Yeon Kong
Seung-Yeon Kong
Purpose: This study analyzed the prevalence of metabolic syndrome and influencing factors among adult workers aged 19 to 64. Methods: Data from the ninth Korea National Health and Nutrition Examination Survey conducted in 2022 were utilized. The sample comprised 685 individuals who had measurements of fasting glucose, triglycerides, high-density lipoprotein cholesterol, blood pressure, and waist circumference, which are necessary to diagnose metabolic syndrome. Data analysis was performed using SPSS 26.0, and complex sample logistic regression was conducted to identify factors influencing metabolic syndrome. Results: Among the participants, 34.3% were diagnosed with metabolic syndrome. Significant differences were observed in sex, age, region, marital status, regular worker, and physical activity between participants with and without metabolic syndrome (p < .05). Factors influencing the prevalence of metabolic syndrome included sex, age (with the 19~29 age group showing a significantly lower risk), physical activity, smoking, and perceived stress levels (p < .05). Conclusion: To prevent metabolic syndrome in adult workers, it is essential to promote physical activity, discourage smoking, and encourage effective stress management.

10 July 2024 in Healthcare
Verified
Journal Article
Open access
PDF file
SKSeung-Yeon Kong
Seung-Yeon Kong
MCMi-Kyoung Cho
Mi-Kyoung Cho
Background: The prevalence of diabetes has increased worldwide. Therefore, interest in improving glycemic control for diabetes has grown, and continuous glucose monitoring (CGM) has recently received attention as an effective glycemic control method. This study developed and evaluated the effectiveness of an education program for pattern management using CGM based on Whittemore and Roy’s middle-range theory of adapting to diabetes mellitus. Methods: A quasi-experimental study was conducted on 50 adult patients with type 2 diabetes who visited the outpatient clinic of a university hospital. The experimental group was treated with a pattern management program using CGM for 12 weeks and six personalized education sessions were provided to the patients through face-to-face education and phone monitoring. Results: The frequency of diabetes-related symptoms in the experimental group decreased, and social support (t = 2.95, p = 0.005), perceived benefits (t = 3.72, p < 0.001) and self-care significantly increased (t = 6.09, p < 0.001). Additionally, the program was found to be effective in improving HbA1c (t = −3.83, p < 0.001), FBS (t = −2.14, p = 0.038), and HDL-C (t = 2.39, p = 0.021). Conclusion: The educational program developed through this study can be implemented as a self-management approach for individuals with type 2 diabetes using CGM, aimed at enhancing glycemic control and preventing complications.