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Jin Young Jeong 4 Articles
Related Factors with Decreased Physical Function in the Community-Dwelling Elderly in Chuncheon: Hallym Aging Study(HAS).
Sun Ae Jeon, Jin Young Jeong, Seok Won Park, Young Ho Choi, Moon Gi Choi, Kyung Soon Hong, Sang Kon Lee, Hyun Ah Kim, Dong Hyun Kim
Korean J Epidemiol. 2008;30(2):216-229.   Published online December 31, 2008
DOI: https://doi.org/10.4178/kje.2008.30.2.216
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  • 2 Crossref
AbstractAbstract PDF
Abstract
This study was conducted to elucidate the related factors with the decreased physical function in the community- dwelling elderly in Chuncheon. We used data obtained from Hallym Aging Study(HAS) from January to May in 2007. The participants were 505 elderly aged 65 years or over after excluding those who didn't complete physical function test and aged < 65. The measurement of physical function was based on the "Health Aging and Body Composition Study Physical Performance Battery(H-ABC PPB)" that included semi-tandem stance, tandem stance, single leg stance, 6m general walk, 6m narrow walk, and chair stand test. And we also included grip strength test. Overall physical function based on H-ABC PPB decreased with age in both men and women. Smoking appeared to increase the risk of decreased function of chair stand in women (adjusted OR=3.8, 95% CI=1.2-12.6). Regular exercise was found to reduce the risk of decreased physical function in both men(Balance OR=0.5, 95% CI=0.2-1.0; Usual walk OR=0.4, 95% CI=0.2- 0.9) and women(Balance OR=0.4, 95% CI=0.2-1.0; Usual walk OR=0.3, 95% CI=0.1- 0.9); Narrow walk OR=0.2, 95% CI=0.1-0.8). Higher level of education seemed to be associated with higher functional performance. It needs further researches on the effect of education on the physical function of the elderly in this population.
Summary

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  • Comparison of intradialytic neuromuscular electrical stimulation and oral nutritional supplements in hemodialysis patients: study protocol for a multicenter, parallel-group, randomized controlled trial in Korea
    Mi-yeon Yu, Jae Hyeon Park, Yong Chul Kim, Jae Yoon Park, Ran-hui Cha
    Trials.2021;[Epub]     CrossRef
  • A First-year Cohort Study based on Health Behaviors of Older Adults in an Urban City: Gender and Age Differences
    Ji Yeon Ha, Belong Cho, Misoon Song, Jaeyoung Lim, Ga Hye Kim, Young-soon Jung, Yeon-Hwan Park
    Korean Journal of Adult Nursing.2017; 29(5): 505.     CrossRef
Association of obesity indices with physiological markers for cardiovascular disease among middle age and elderly in Chuncheon : Hallym Aging Study
Jin Young Jeong, Jeong Hun Kim, Young Ho Choi, Soong Nang Jang, Yong Jun Choi, Dong Hyun Kim
Korean J Epidemiol. 2008;30(1):89-99.   Published online June 30, 2008
DOI: https://doi.org/10.4178/kje.2008.30.1.89
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  • 1 Crossref
AbstractAbstract PDF
Abstract
PURPOSE
This study was performed to evaluate association of obesity indices with physiological markers for cardiovascular disease(CVD) in community dwelling middle aged and elderly populations.
METHODS
We evaluated cross-sectional association of obesity indices with physiological markers for CVD using the data of Hallym Aging Study(HAS) conducted in 2004. Information on general characteristics and medical histories were collected by trained interviewers. Also obesity indices including waist circumference(WC), waist to hip ratio(WHR), body mass index(BMI), and body fat mass(BFM), and physiological markers of CVD including systolic blood pressure(SBP), diastolic blood pressure(DBP), triglyceride(TG), high density lipoprotein cholesterol(HDL-C), total cholesterol(TC), and fasting blood sugar(FBS) were measured by clinical staffs. 589 out of the 922 participated in HAS were enrolled in the final analysis, excluding 333 who had been diagnosed and medicated due to obesity-related diseases. Age and gender specific correlation coefficients between obesity indices and physiological markers for CVD were calculated by partial spearman correlations using SAS ver 9.1.
RESULTS
The strength of correlation of obesity indices and physiological markers of CVD changed with age. The correlations between SBP, DBP, TG and HDL-C and obesity indices were attenuated with age, whereas those of TC, FBS and LDL-C were increased among the elderly. These patterns were similar in both gender.
CONCLUSIONS
These findings show that more appropriate obesity indices according to age are needed to evaluate the association between these indices and CVD risks.
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  • What is the Most Reliable Obesity Iindex in Korean Elderly Population?
    June Hyung Yoon, Jongwoo Kim, Seon Yeong Lee, Kyunam Kim, In Young Cho, Young M Cho
    The Korean Journal of Obesity.2012; 21(3): 140.     CrossRef
Development of Risk Prediction Model for Cardiovascular Disease Using Intima Media Thickness of Carotid Artery Among Community-Dwelling Elderly.
Jin Young Jeong, Kyung Soon Hong, Soong Nang Jang, Young Ho Choi, Moon Gi Choi, Sang Kon Lee, Hyun Ah Kim, Seok Won Park, Na Rae Hong, Dong Hyun Kim
Korean J Epidemiol. 2007;29(2):187-199.
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AbstractAbstract PDF
Abstract
PURPOSE
This study was performed to develop risk prediction model for cardiovascular disease using intima-media thickness (IMT) of carotid artery among the community dwelling elderly.
METHODS
Follow-up survey was conducted in 2007 to measure the IMT of carotid artery, which is known as a preclinical marker of atherosclerotic change, among participants at the baseline survey of Hallym Aging Study (HAS) in 2004. They were categorized into two groups; increased IMT > or = 0.9 mm and normal IMT < 0.9 mm. To evaluate which factors are independently related with the increased IMT, multiple logistic regression analysis was done. Based on the regression coefficients of these factors weighed by the magnitude of the effect estimates, we calculated the risk scores for increased IMT for every participants. ROC curve was plotted for the each cutoff point of risk scores and its fitness was tested using Area Under the Curve (AUC). Finally, we calculated risk ratios for the increased IMT according to the level of risk based on the risk scores.
RESULTS
Several factors were found as related factors for the increased IMT in the multiple logistic regression: age (beta=0.15), cholesterol (beta=0.01), insulin (beta=0.13), and pulse pressure (beta=0.90) for men, and age (beta=0.08), family history of diabetes mellitus (beta=0.94) and stroke (beta=0.79), alcohol drinking (beta=0.39), and high cholesterol (beta=0.77) for women. We assigned the weighed value for each factors. The average risk scores were 14.48 (range 9.69-18.76) for men and 4.59 (range 2.41-7.48) for women. The Area Under the Curve (AUC) were 0.77 for men and 0.71 for women. We also observed the higher risk of increased IMT as the risk scores increased.
CONCLUSION
Based on the results, we expect to predict the level of the risk for the increased IMT, which is preclinical marker for atherosclerotic change, among the elderly.
Summary
A study on the addicted use of mobile phone among the high school students.
Jin young Jeong, Dong Hyun Kim
Korean J Epidemiol. 2005;27(1):140-153.
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  • 22 Download
AbstractAbstract PDF
Abstract
BACKGROUND
As there are many teenagers being addicted to the Internet ever since the computer became one of the communication channels, similar addictive phenomena are expected to occur for mobile phone usage as it rapidly positions itself as a means of communication among teenagers. OBJECTIVE: This study was performed to describe the pattern of mobile phone usage among high school students and to examine the association with psychological characteristics related to addiction such as depression, self-esteem and impulsiveness.
METHOD
OLOGY: A survey was conducted for 501 high school students(254 males and 247 females), currently using mobile phones, in the Metropolitan Seoul area. The Questionnaire by Young for the evaluation of internet addiction was modified and supplemented incorporating the circumstances in Korea. For the psychological characteristics, following were used: Korean translation of the depression scale CES-D, the self-esteem scale and Barratt Impulsiveness Scale. Based on the total score on the mobile phone survey, the top 25% were categorized as the addicted user group (n=129) and the bottom 25% as the non-addicted user group(n=126).
RESULTS
The addicted user group started using the mobile phone earlier, used their phones for longer durations and displayed higher purchasing frequencies than the non-addicted user group. Furthermore, the addicted group members scored higher in terms of average daily usage time, voice call duration, SMS exchanges, the number of contacts stored in the phone, experiences of using the phone during classes, and average monthly charges. Multiple logistic regression analysis was performed to assess associated factors of addicted mobile phone use. In terms of psychological characteristics, addicted mobile phone use was 10.2 times(OR=10.2, 95% CI 2.1~49.2) greater if the depression point is 51 or higher compared to 35 or less, and 6.3 times(OR=6.4, 95% CI 2.0~20.5) greater if the impulsiveness point is 61 or higher compared to 50 or less.
CONCLUSION
These finding showed that there were differences between the addicted mobile phone user group and the non-addicted counterpart in terms of mobile phone usage patterns and psychological characteristics such as depression and impulsiveness. Further studies on the association between addicted use of mobile phone and psychological factors are needed.
Summary
Epidemiol Health : Epidemiology and Health
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