• Journal of Korean Ophthalmic Optics Society
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• v.15 no.3
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• pp.293-297
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• 2010

Purpose: The aim of the current study was to compare body mass index (BMI) with waist circumference (WC) as a predictor of elevated intraocular pressure (IOP). Methods: The subjects were consisted of 458 adults, aged 20 year or above, of one community in Kyunggi-do. Mean IOPs were stratified jointly for BMI and WC tertiles. Multi-variate linear regression analysis was also used to compare between BMI and WC. Results: Although any BMI tertiles were not associated with IOP within each tertile of WC, WC tertiles was significantly related to elevation of IOP within the third BMI tertile (${\geq}24.9kg/m^2$). After adjusting for age and sex, only WC showed significant association with IOP. In additional adjustment for lifestyle variables, both BMI and WC were significantly associated with elevation of IOP. However, the results showed the stronger association of IOP with WC than BMI, whether they were adjusted by age and sex or additionally lifestyle variables. Conclusions: These data showed that BMI and WC were positively associated with IOP. However, WC appeared to be a better indicator for higher IOP than BMI.

• Journal of Korean Academy of Nursing
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• v.40 no.6
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• pp.775-784
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• 2010

Purpose: The study was conducted to describe body shapes of school age children using the degree of obesity index (DOI) and body mass index obesity index classified by the Ministry of Education, Science and Technology (M-BOI) and Seoul Metropolitan Office of Education (S-BOI). Methods: In this cross sectional descriptive study health screening data for school children collected in 2007 was used. Results: Data were analyzed for 2,193 4th-6th grade boys (52%) and girls who attended 4 schools in rural areas. DOI determined that only 44.3% of students had average weight. This proportion was much lower than the results of other methods (74.3-77.6%). All three methods defined girls (51.3-61.8%) as skinnier than boys. Skinny and average body shaped children classified by DOI and obese children classified by S-BOI were heavier and taller and presented higher degrees of obesity (DO) and BMI scores than by other methods. M-BOI and S-BOI presented statistically significant positive correlations with weight, height, DO and BMI, while DOI was not correlated with height. Conclusion: BMI based body shape classifications provide a more rigorous classification of body shape which are favorable for school health professionals with limited resources and policy makers for internationally comparable references.

• Journal of Preventive Medicine and Public Health
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• v.27 no.4 s.48
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• pp.665-676
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• 1994

The purpose of this study is to observe the longitudinal changes in BMI (Body Mass Index) of obese and non-obese 3rd. grade high school students in Seoul for 12 years and to see the trends of overt weight gain in obese adolescents. The results are as follows; 1. The average annual increasing rates of body mass Indices in male students were $1.14kg/m^2$ in obese group and $0.59kg/m^2$ in non-obese group. In female students, the average annual increasing rates of body mass indices were $0.93kg/m^2$ in obese group and $0.53kg/m^2$ in non-obese group. 2. The change rate of BMI for 12 years was significantly higher in obese group than non-obese group. 3. Puberty had less influence on the change rate of BMI in obese group compared to non-obese group. 4. In obese group, 71.8% of the variance in BMI at 17 can be predicted by BMI at 16 years in male students. In female students 44.4% can be predicted by BMI at age 16. 5. Among the 17-year-old obese students, 58.8% of the males and 56.2% of females were found not to have been obese at 7 years of age. 6. Among the 17-year-old obese students, those who were obese at 7 years of age were found to have higher BMI at later ages than those who were in the non-obese group. Obese adolescents were more likely to be obese in their childhood than non-obese group. There was no optimal age for the significant weight gain and the increasing rate of BMI was constantly higher in obese group than in non-obese group. Due to the fact that child obesity in early age contributes to obesity in adolescence, close observation is advised. On the other hand, a large proportion of obese adolescents can be preventable by early interventions, because about 50% of obese adolescents were not obese in early elementary school age.

• Journal of Nutrition and Health
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• v.26 no.8
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• pp.942-952
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• 1993

This study was to investigate if Body Mass Index(BMI) is adequate as a method of physique classification of Korean female college students. For this study 571 students were selected to examine physique classification by anthropometric index, and the correlation between the various anthropometric index and risk facters(blood pressure, triglyceride, hematocrit). The following results were obtained by this study. 1) Average age of the subjects is 19.6, height 158.2cm and weight 54.4g. 2) All anthropometric indices and body fat percentage are highly correlated (r>0.713), among them BMI shows high and significant positive correlation with weight(r=0.919) and skinfold thickness(r>0.601), but negative correlation with height(r=-0.086). 3) All anthropometric indices and body fat percentage show significant correlation with blood pressure and triglyceride. Among them BMI shows high and significant positive correlation with blood pressure and triglyceride. 4) FAT% III calculated of BMI shows significant with FAT% I and FAT% II by skinfold thickness, and high correlation with blood pressure and triglyceride. Therefore FAT% III is adequate for calculation method of body fat percentage.

• Journal of Preventive Medicine and Public Health
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• v.43 no.5
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• pp.396-402
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• 2010

Objectives: Self-reported anthropometric values, such as height and weight, are used to calculate body mass index (BMI) and assess the prevalence of obesity among adolescents. The aim of this study was to evaluate the validity of selfreported height, weight, and BMI of the Korea Youth Risk Behavior Web-based Survey questionnaire. Methods: A convenience sample of 137 middle school students and 242 high school students completed a selfadministered questionnaire in 2008. Body height and weight were directly measured after self-reported values were obtained from the questionnaire survey. Sensitivity, specificity, and kappa statistics were computed in order to evaluate the validity of the prevalence of obesity (BMI $\geq$ 95th percentile or $\geq$ $25;kg/$m^2$) based on self-reported data. Results: Self-reported weight and BMI tended to be underestimated. Self-reported height tended to be overestimated among middle school females and high school males. Obese adolescents tended to underestimate their weight and BMI and overestimate their height more than non-obese adolescents. The prevalence estimate of obesity based on selfreported data (10.6%) was lower than that based on directly measured data (15.3%). The estimated sensitivity of obesity based on self-reported data was 69.0% and the specificity was 100.0%. The value of kappa was 0.79 (95% confidence interval, 0.70 - 0.88). Conclusions: This study demonstrated that self-reported height and weight may lead to the underestimation of BMI and consequently the prevalence of obesity. These biases should be taken into account when self-reported data are used for monitoring the prevalence and trends of obesity among adolescents nationwide.

• Journal of Nutrition and Health
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• v.43 no.5
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• pp.500-512
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• 2010

The relationship between food and nutrient intake, glycemic index (GI), glycemic load (GL), and body weight was investigated with high school girls residing in Seoul. As subjects, 159 girls were divided into a normal weight (NW) group (18.5 kg/$m^2$ $\leq$ BMI < 23 kg/$m^2$, n = 110) and an overweight (OW) group (BMI $\geq$ 23kg/$m^2$, n = 49) by body mass index (BMI). The food and nutrient intake data obtained by the 3-day food record were analyzed by Can pro 3.0 software. Anthropometric measurements were collected from each subject. Daily dietary GI (DGI) and dietary GL (DGL) were calculated from the 3-day food record. Body weights and BMI of NW were 52.4 kg and 20.4 kg/$m^2$ and those of OW were 65.2 kg and 25.4 kg/$m^2$, respectively. Total food, animal food, and other food intakes of NW were higher than those of OW, and vegetable food intakes of NW were lower than those of OW. Sugars intake of NW was significantly higher than OW. Nutrient intakes were not different between the two groups. Dietary fiber, calcium, and folate intakes of NW and OW were under 65% of the dietary reference intakes (DRIs). Major food sources of energy intake for both groups were rice, pizza, ice cream, pork, instant noodle, and chicken. Mean adequacy ratio (MAR), an index of overall dietary quality, was higher in NW (0.82) than in OW (0.80). Mean daily DGI of NW and OW was 66.5 and 66.4, respectively. Mean daily DGL of NW and OW was higher in NW (162.0) than in OW (155.9). DGI and DGL adjusted to energy intake were not significantly correlated with anthropometric data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.267-274
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• 2017

This is a non-experimental and retrospective study aimed at determining the effects of long-term hospitalization on the body mass index (BMI) and lipid metabolism in long-term hospitalized patients. The study subjects included 120 patients aged 40-65 years who were hospitalized for >3 months in 2 long-term care hospitals in Gyeonggi-do, South Korea. In this study, the BMI and levels of total cholesterol, triglycerides (TG), high-density lipoprotein (HDL), and low density lipoprotein (LDL) at admission and 3 months after hospitalization were compared and analyzed, and the related changes over time were followed up. The general characteristics of the subjects were analyzed by using descriptive statistics and frequency analysis. In addition, logistic regression analysis was performed to determine the effects of the general characteristics on the BMI and Dyslipidemia. The changes in the BMI and blood lipid levels between admission and 3 months after hospitalization were analyzed using the paired t-test. The results showed that with regard to the changes in the blood lipid levels, the triglyceride levels significantly increased 3 months after hospitalization (p<.05). These findings imply that long-term hospitalization for care and rehabilitation after acute-phase treatment should be considered a potential high-risk factor for dyslipidemia, which could be prevented or alleviated by providing the patients with health education, including exercise and dietary education.

• Journal of Korean Medicine for Obesity Research
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• v.5 no.1
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• pp.97-107
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• 2005

Objectives The purpose of this study was to investigate correlation between short stature and obese degree. And we also wanted to know the characteristics of patients visited clinic in the name of 'short stature'. Methods Height, body weight, BMI, fat mass, lean body mass, percent body fat were taken intended for 236 patients in the name of short stature. To all the patient questionnaire for growth clinic was drawn up, and ultrasound scan was taken through calcaneous of the right foot. The patients were classified to three groups - short, average, tall group - according to relative position of mid-parental height. It was analysed that the differences between groups in obese degree. Also was investigated correlation between position of short stature and obese degree, and between obese degree and bony maturity. Results & Conclusion 1. The average ages of patients in the name of 'short stature' were $12.69{\pm}3.93$ years old in boys, $10.66{\pm}3.67$ years old in girls. And it seemed to be just before second rapid maturing period. 2. The average BMI were $20.58{\pm}4.07kg/m^2$ in boys, $18.65{\pm}2.85kg/m^2$ in girls, and average percent body fat were $21.99{\pm}7.35%$ in boys, $26.01{\pm}6.35%$ in girls. 3. The numbers of obese children were 34(31.2%) in boys, 19(14.9%) in girls on the basis of BMI. And the numbers were 39(35.8%) in boys, 53(41.7%) in girls on the basis of percent body fat. There was a big difference in case of girls. 4. The numbers of AG(average group) were 48(44.0%) in boys, 60(47.2%) in girls, the numbers of SG(short group) were 35(32.1%) in boys, 31(24.4%) in girls, and numbers of TG(tall group) were 26(23.9%) in boys, 35(27.6%) in girls. 5. There were no significant differences among the groups in BMI, lean body mass, fat mass, percent body fat. Only significant difference in DI(disease index). 6. There were no significant correlation between PH(percent height) and BMI, leanbody mass, fat mass, percent body fat. Only significant correlation in DI(disease index). 7. There were no significant differences between DA(difference between bone age and chronorogical age) and BMI, leanbody mass, percent body fat. Only significant correlation in fat mass.

• Journal of the Korean Dietetic Association
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• v.23 no.1
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• pp.27-38
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• 2017

Maintaining adequate fluid balance is essential for all biological functions in the body. The purpose of this study was to evaluate vulnerability to dehydration by analyzing age, gender, body mass index (BMI), and blood lipid parameters in health checkup examinees who visited Sahmyook Seoul Hospital for comprehensive health checkups. In a binary logistic regression analysis stratified by age and body mass index the odd ratio for dehydration was as high as 3.317 (95% CI: 1.666~6.605) in the 50s age group, 4.224 (95% CI: 2.038~ 8.755) in the 60s age group, and 4.610 (95% CI: 1.943~10.940) in the above 70s age group compared to 20s reference age group. Aged females showed greater vulnerability to dehydration with significance levels of P<0.01 and P<0.001. Compared to a normal weight (BMI: 18.5~22.9) the odd ratio was higher in males with an under weight (BMI: less than 18.5) (5.130 [95% CI: 1.631~16.132]) and in females with an over weight (BMI: 23.0~24.9) (1.500 [95% CI: 1.065~2.114]). In conclusion, our results showed that vulnerability to dehydration increased with age and was higher in under weight males and over weight females than that in normal weight.

• Tuberculosis and Respiratory Diseases
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• v.70 no.3
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• pp.235-241
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• 2011

Background: The rising prevalence of asthma may be associated with the rising prevalence of obesity in developed nations. There are several studies showing that obesity increases the risk of asthma in adults. We investigated the association of each body composition scale and bronchial hyper-responsiveness. Methods: This study involved a retrospective review of the existing records for 279 subjects with respiratory symptoms, who underwent a pulmonary function test, a methacholine challenge test and a body composition test between May 2007 and June 2009. Results: Of the 279 subjects, 179 (64%) were female. There was a statistically significant difference in fat free mass and in fat free mass index between the normal bronchial responsiveness group and bronchial hyper-responsiveness group (p=0.036; p=0.000). There was no significant differences in body mass index, in fat mass and fat free mass index in the normal bronchial responsiveness group and bronchial hyper-responsiveness group in males. However in females, body mass index and fat free mass index were increased in the bronchial hyper-responsiveness group (p=0.044; p=0.000). Total body water (kg), fat free mass (kg) and soft lean mass (kg) were significantly different between the normal bronchial responsiveness group and bronchial hyper-responsiveness group (p=0.002; p=0.000; p=0.000). Conclusion: This study showed significant differences in fat free mass and in fat free mass index between the normal bronchial responsiveness group and the bronchial hyper-responsiveness group. In females, BMI, soft lean mass, and total body water showed significant differences between the normal bronchial responsiveness group and the bronchial hyper-responsiveness group. We concluded that bronchial hyper-responsiveness was associated with not only body mass index but also fat free mass index in female bronchial asthma.