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Ju Hee Hong 2 Articles
Distribution and Correlates of Obesity in a Korean Rural People.
Jong Ku Park, Sang Baek Koh, Myung Gun Kang, Jin Baek Kim, Sook Jung Hyun, Ju Hee Hong, Jun Ho Park, Sei Jin Chang
Korean J Epidemiol. 2004;26(2):8-19.
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AbstractAbstract PDF
Abstract
OBJECTIVE: The aim of present study was to assess the distribution and correlates of obesity in a Korean rural people using both body mass index(BMI) and body fat percent.
METHODS
A total of 1,243 participants were recruited using a two-staged stratified sampling. A structured questionnaire was used to ask their sociodemographics (gender, age, marital status, educational background, and etc.) and health-related behaviors (smoking, drinking, and regular exercise etc.). The data of weight-for height, and body fat percent were also collected by physical examination. For the estimation and analysis of correlates of obesity, we used BMI(>or=25kg/m2) and body fat percent(male>or=25%, female>or=30) as a cut-point of obesity. All analyses were stratified to three age groups(>20, 20-39, 40>or=).
RESULTS
The prevalence of obesity in this study was higher than that in previous studies. This study showed that 32.6% (male: 33.7%, female: 31.7%) of participants according to BMI, and 45.6% (male: 43.8%, female: 47.4%) of them according to body fat percent were obese group. Logistic regression analysis showed that, in the criteria of BMI, while obesity was associated with female and low educational background under the age of 40, prevalence of obesity was higher in non smokers over the age of 40. In case of body fat percent crteria, single(unmarried, divorced, separated, widowed) were more likely to be obese in male aged 20 to 39 years. In the group aged 40 years and over, risk of obesity was higher in female than in male.
CONCLUSION
This result suggests that obesity is common in Korean rural areas, especially among adolescents and female aged 40 years or over, and the risk factors for obesity were different by age. It is required that health management program focusing on obesity and its adverse outcomes should be developed in a community setting.
Summary
A Trial for Association between Oxidative Stress in Midterm Pregnancy and Postnatal Growth during the First Year of Life.
Hyesook Park, Young Ju Kim, Hwa Young Lee, Eun Ae Park, Nam Soo Chang, Eun Hee Ha, Bo Hyun Park, Bo Eun Lee, Ju Hee Hong
Korean J Epidemiol. 2004;26(1):17-26.
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  • 21 Download
AbstractAbstract PDF
Abstract
OBJECTIVES
We aims to construct Infant Growth Cohort for evaluating whether oxidative stress in midterm pregnancy has an adverse effect on postnatal growth.
METHODS
AND MATERIALS: From September 2001 to April 2004, we constructed an Ewha Infant Growth Cohort connected with the Ewha Pregnant Women Cohort. We excluded mother-and-child pairs in which the mother had experienced hypertension or diabetes during pregnancy and had multiple births for this study, which gave us 233 mother-and-child pairs for analysis. We measured maternal serum homocysteine and urinary 8-hydroxyguanosine (8-OHdG) and malondialdehyde (MDA) at 24~28 weeks of pregnancy, and infant weights at birth and at 6 and 12 months postnatally. We applied repeated measures ANOVA with PROC MIXED to assess the significance of differences.
RESULTS
We followed 64 and 85 infants at 6 and 12 months respectively. The mean body weights were 3146.4 g at birth, 8229.7 g at 6 months, and 1006.47 g at 12 months. The mean birth weight of infants was lower in mothers with higher homocysteine levels (third and fourth quartiles), but body weights from the first- and fourth-quartile groups of maternal homocysteine levels were lower than the others even though it was not statistically significant. Body weights at birth and at 6 months in third- and fourth-quartile groups of 8-OHdG levels were lower than the others. The body weights in the fourth quartile MDA group were significantly lower than the others at all time points.
CONCLUSIONS
Maternal oxidative stress in midterm pregnancy may cause postnatal growth retardation. But, there were high rate of follow up loss and various measurement errors. Therefore, we need to have efforts for compete follow up and valid and reliable measurements.
Summary

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