Jee Young Kim

Dr. Jee Young Kim

Department of Neurology, Cheongna Best Rehabilitation Hospital, 110, Bongojae 3-ro, Seo-gu, Incheon 22883, Korea

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 January 2019 in Journal of Clinical Neurology
Verified
Journal Article
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JKJee Young Kim
Jee Young Kim
BIBen Mw Illigens
Ben Mw Illigens
MMMichael P. McCormick
Michael P. McCormick
NWNingshan Wang
Ningshan Wang
CGChristopher H. Gibbons
Christopher H. Gibbons
Kim JY, et al. J Clin Neurol. 2019 Apr;15(2):135-142. https://doi.org/10.3988/jcn.2019.15.2.135

15 July 2021 in Diagnostics
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Bo-Young YounBo-Young Youn
Bo-Young Youn
YKYoume Ko
Youme Ko
SMSeunghwan Moon
Seunghwan Moon
JLJinhee Lee
Jinhee Lee
SKSeong-Gyu Ko
Seong-Gyu Ko
JKJee Young Kim
Jee Young Kim
Biomarkers play a vital role in clinical care. They enable early diagnosis and treatment by identifying a patient’s condition and disease course and act as an outcome measure that accurately evaluates the efficacy of a new treatment or drug. Due to the rapid development of digital technologies, digital biomarkers are expected to grow tremendously. In the era of change, this scoping review was conducted to see which digital biomarkers are progressing in neuromuscular disorders, a diverse and broad-range disease group among the neurological diseases, to discover available evidence for their feasibility and reliability. Thus, a total of 10 studies were examined: 9 observational studies and 1 animal study. Of the observational studies, studies were conducted with amyotrophic lateral sclerosis (ALS), Duchenne muscular dystrophy (DMD), and spinal muscular atrophy (SMA) patients. Non-peer reviewed poster presentations were not considered, as the articles may lead to erroneous results. The only animal study included in the present review investigated the mice model of ALS for detecting rest disturbances using a non-invasive digital biomarker.

1 January 2021 in Biology of Sport
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BYBo-Young Youn
Bo-Young Youn
SKSeong-Gyu Ko
Seong-Gyu Ko
JKJee Young Kim
Jee Young Kim
Each athlete’s innate talent is widely recognized as one of the important contributors to achievement in athletic performance, and genetic factors determine a significant portion of talent or traits. Advances in DNA sequencing technology allow us to discover specific genetic variants...

5 October 2023 in EXPLORE
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Journal Article
Open access
Bo-Young YounBo-Young Youn
Bo-Young Youn
HCHyeongchan Cho
Hyeongchan Cho
SJShinhyoung Joo
Shinhyoung Joo
HKHyo-Jung Kim
Hyo-Jung Kim
JKJee Young Kim
Jee Young Kim
To investigate the potential benefits of using massage chairs for improving health. A rapid scoping review was conducted using PubMed, Embase, Cochrane Library, and Google Scholar from inception to November 1, 2022. Using the keyword strategy ("massage chair*" OR "massage-chair*"), only studies in English were selected. Two reviewers independently screened the studies, and conflicts were resolved by consensus. Studies involving physical massage therapy were excluded. A total of 59 articles were identified, and 18 were included in the final analysis. Quality assessment was performed, following STROBE, CONSORT and CASP guidelines. The following data were extracted: authors, year, country, study design, study objective, age, gender, participants, measures, and main findings. The results of the present review indication that the utilization of massage chairs may positively affect both physical and mental health concerns. This review especially found a more significant number of studies showing benefits in mental health. However, two case reports indicated complications when using massage chairs. The use of massage chairs could have benefits on cognitive function improvement, stress reduction and mental fatigue decline, muscle stiffness improvement, pain reduction, and potential benefits for quality of life.

16 July 2024 in Journal of Medical Internet Research
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Journal Article
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HCHyeongchan Cho
Hyeongchan Cho
KyuMin KIMKyuMin KIM
KyuMin KIM
JKJee Young Kim
Jee Young Kim
Bo-Young YounBo-Young Youn
Bo-Young Youn
Background: Digital dementia is a term that describes a possible decline in cognitive abilities, especially memory, attributed to the excessive use of digital technology such as smartphones, computers, and tablets. This concept has gained popularity in public discourse and media lately. With the increasing use of social media platforms such as Twitter (subsequently rebranded as X), discussions about digital dementia have become more widespread, which offer a rich source of information to understand public perceptions, concerns, and sentiments regarding this phenomenon. Objective: The aim of this research was to delve into a comprehensive content and sentiment analysis of Twitter discussions regarding digital dementia using the hashtag #digitaldementia. Methods: Retrospectively, publicly available English-language tweets with hashtag combinations related to the topic of digital dementia were extracted from Twitter. The tweets were collected over a period of 15 years, from January 1, 2008, to December 31, 2022. Content analysis was used to identify major themes within the tweets, and sentiment analysis was conducted to understand the positive and negative emotions associated with these themes in order to gain a better understanding of the issues surrounding digital dementia. A one-way ANOVA was performed to gather detailed statistical insights regarding the selected tweets from influencers within each theme. Results: This study was conducted on 26,290 tweets over 15 years by 5123 Twitter users, mostly female users in the United States. The influencers had followers ranging from 20,000 to 1,195,000 and an average of 214,878 subscribers. The study identified four themes regarding digital dementia after analyzing tweet content: (1) cognitive decline, (2) digital dependency, (3) technology overload, and (4) coping strategies. Categorized according to Glaser and Strauss’s classifications, most tweets (14,492/26,290, 55.12%) fell under the categories of wretched (purely negative) or bad (mostly negative). However, only a small proportion of tweets (3122/26,290, 11.86%) were classified as great (purely positive) or swell sentiment (mostly positive). The ANOVA results showed significant differences in mean sentiment scores among the themes (F3,3581=29.03; P<.001). The mean sentiment score was –0.1072 (SD 0.4276). Conclusions: Various negative tweets have raised concerns about the link between excessive use of digital devices and cognitive decline, often known as digital dementia. Of particular concern is the rapid increase in digital device use. However, some positive tweets have suggested coping strategies. Engaging in digital detox activities, such as increasing physical exercise and participating in yoga and meditation, could potentially help prevent cognitive decline.

1 January 2016 in Journal of Clinical Neurology
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DPDoo Yong Park
Doo Yong Park
SLSu Bin Lee
Su Bin Lee
DYDo Young Yoon
Do Young Yoon
JKJee Young Kim
Jee Young Kim
Park DY, et al. J Clin Neurol. 2016 Oct;12(4):517-518. https://doi.org/10.3988/jcn.2016.12.4.517