Young-Jee Jeon

Dr. Young-Jee Jeon

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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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6 April 2018 in PLOS ONE
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CKChung Reen Kim
Chung Reen Kim
YJYoung-Jee Jeon
Young-Jee Jeon
MKMoon Chan Kim
Moon Chan Kim
TJTaeheum Jeong
Taeheum Jeong
WKWoo Ram Koo
Woo Ram Koo
To establish reference values for hand grip strength (HGS) in a healthy Korean population and to identify the dependent anthropometric variables that affect HGS. Based on the sixth Korea National Health and Nutrition Examination Survey from 2014 to 2015, we analyzed the HGS data of 7,969 South Koreans. Individuals with specific chronic diseases and who reported poor subjective health status were excluded to ensure a healthy population sample. Means with standard deviations (SDs) and 95% confidence intervals were calculated for each 5-year interval starting from 10 years of age. To determine the relationship between HGS and anthropometric variables, we performed correlation analyses between HGS and height, weight, and body mass index (BMI). Additionally, based on these findings, the cut-off value for low HGS was presented by deriving -2SD values of healthy young adults as recommended by the European Working Group on Sarcopenia in Older People. The mean age and BMI of men and women were 38.3 and 38.2 years and 23.8 and 22.4 kg/m2, respectively. Mean HGS of the dominant hand in men and women was 39.5 and 24.2 kg, respectively. The peak in HGS was at 35–39 years of age, after which HGS decreased in both sexes. HGS was significantly correlated with height, weight, and BMI. The cut-off values for weak HGS were < 28.9 and < 16.8 kg in men and women, respectively. These results provide useful reference values to assess HGS in patients who undergo hand surgery or who have various diseases that affect HGS. Moreover, a cut-off value for low HGS may help in defining sarcopenia among the Korean population.

28 March 2019 in PLOS ONE
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Journal Article
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CKChung Reen Kim
Chung Reen Kim
YJYoung-Jee Jeon
Young-Jee Jeon
TJTaeheum Jeong
Taeheum Jeong
Hand grip strength (HGS) is a means to assess health status and physical abilities indirectly. Various factors are known to be related to HGS, but data on the factors influencing HGS in the Korean population are lacking. Recently, the Korea National Health and Nutrition Examination Survey (KNHANES) conducted by the Korea Centers for Disease Control and Prevention surveyed social status, nutrition, physical status, and other medical history including HGS. This study aimed to investigate the social, physical, and individual health behavior factors associated with low HGS in the elderly Korean population. This population-based cross-sectional study was based on the 2014–2016 KNHANES. Community-dwelling Korean elderly (aged ≥65 years) were included in this survey. The relationship between HGS and socioeconomic status, nutrition, exercise, and other clinical characteristics were analyzed using multivariate logistic regression. The sample size was 3,634 (weighted: 6,006,406). Elderly men and women with low HGS showed lower body mass index, reduced physical activity and lower education level. Among elderly men, excessive carbohydrate and inadequate protein intake were observed in the low HGS group. Meanwhile, older women who did not drink alcohol and had diabetes were at higher risk of low HGS. In conclusion, various physical, nutritional, socioeconomic and comorbidity statuses were seemed to be the factors associated with HGS in Korean elderly. However, further cohort or case-control study will be necessary to determine the causal relationship of those factors and HGS.

27 November 2020 in BMC Public Health
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YJYoung-Jee Jeon
Young-Jee Jeon
JPJeehee Pyo
Jeehee Pyo
YPYoung-Kwon Park
Young-Kwon Park
MOMinsu Ock
Minsu Ock
Background: Improving the health behaviors of those with chronic diseases such as hypertension and diabetes is important for disease management. Few in-depth studies have been conducted in Korea on the health behaviors of chronic disease patients. This study examined the health behaviors of chronic disease patients over time and compared them with those of the general population. Methods: Cross-sectional time-series data obtained from the Korea Community Health Survey from 2008 to 2017 were analyzed. Thirteen diseases were included in this analysis, namely, hypertension, diabetes, dyslipidemia, stroke, myocardial infarction, angina, osteoarthritis, osteoporosis, asthma, allergic rhinitis, atopic dermatitis, cataract, and depression. The current smoking rate, drinking rate, and the walking rate, which are leading health behaviors necessary for preventing chronic diseases, were analyzed by disease type. We compared patients’ health behaviors with those of the general population and identified regional variations. Results: Although the current overall smoking rate was seemingly declining, the overall monthly drinking and high-risk drinking rates were increasing. In 2017, patients experiencing depression symptoms had a higher smoking rate than did the general population; hypertension and diabetes patients had a higher risk-drinking rate than did the latter. The general population’s walking rate was highest. There were considerable variations by region among chronic disease patients. Conclusions: Chronic disease patients displayed worse health behaviors than those of the general population, in some instances. Rather than focusing only on chronic disease patients’ medication adherence, strategies must be devised to increase their smoking cessation rate, decrease their drinking rate, and increase their walking rate.

1 July 2021 in International Journal of Chronic Obstructive Pulmonary Disease
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YJYoung-Jee Jeon
Young-Jee Jeon
SHSangyoung Han
Sangyoung Han
GPGyung-Min Park
Gyung-Min Park
TLTae Young Lee
Tae Young Lee
SPSoon Eun Park
Soon Eun Park
BKByung Ju Kang
Byung Ju Kang
Purpose: Low-attenuation muscle area (LAMA) and normal-attenuation muscle area (NAMA) indicate lipid-rich and lipid-poor skeletal muscle areas, respectively. Additionally, intermuscular adipose tissue (IMAT) indicates localized fat between muscle groups. In this study, we aimed to evaluate the intramuscular and intermuscular fat infiltration in individuals with chronic obstructive pulmonary disease (COPD) by performing quantitative assessment of the LAMA, NAMA, and IMAT observed on abdominopelvic computed tomography (APCT) images. Patients and Methods: We performed a cross-sectional study using data of subjects who underwent a general health examination with APCT at Ulsan University Hospital between March 2014 and June 2019. We classified the subjects into control and COPD groups based on age, smoking history, and pulmonary function results. We compared the attenuation and body mass index adjusted area of intra-abdominal components between the two groups using propensity score matching. We also evaluated these outcomes in COPD subgroups (mild and moderate stage subjects). Results: Overall, 6,965 subjects were initially enrolled, and 250 pairs of control and COPD subjects were selected after propensity score matching. The NAMA attenuation (unstandardized β=− 1.168, P< 0.001) was lower, and the IMAT (unstandardized β=0.042, P=0.006) and LAMA (unstandardized β=0.120, P< 0.001) indexes were greater in the COPD group than in the control group. In subgroup analysis, those with mild and moderate COPD also had high IMAT (unstandardized β=0.037, P=0.009 and unstandardized β=0.045, P< 0.001) and LAMA (unstandardized β=0.089, P=0.002 and unstandardized β=0.147, P< 0.001) indexes compared to the control subjects. However, the NAMA attenuation (unstandardized β=− 1.075, P< 0.001) and NAMA index (unstandardized β=− 0.133, P=0.015) were significantly lower in moderate COPD subjects only. Conclusion: Our study showed that intramuscular and intermuscular abdominal fat infiltration could be present in subjects with mild COPD, and it might be exacerbated in those with moderate COPD.

1 January 2020 in Journal of Korean Medical Science
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TJTae Heum Jeong
Tae Heum Jeong
CPChuiyong Pak
Chuiyong Pak
MOMinsu Ock
Minsu Ock
SLSeock-Hwan Lee
Seock-Hwan Lee
JSJoung Sik Son
Joung Sik Son
YJYoung-Jee Jeon
Young-Jee Jeon
Jeong TH, et al. J Korean Med Sci. 2020 Aug;35(37):e333. https://doi.org/10.3346/jkms.2020.35.e333

1 January 2016 in Journal of Korean Medical Science
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Journal Article
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SCSeung-Hyun Cha
Seung-Hyun Cha
JPJeong-Hun Paik
Jeong-Hun Paik
MLMi-Ra Lee
Mi-Ra Lee
HYHuiho Yang
Huiho Yang
SPSeung Guk Park
Seung Guk Park
SYSunmi Yoo
Sunmi Yoo
Cha SH, et al. J Korean Med Sci. 2016 May;31(5):709-714. https://doi.org/10.3346/jkms.2016.31.5.709