• Journal of Medicine and Life Science
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• v.20 no.1
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• pp.21-31
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• 2023

We aimed (a) to investigate the associations between age, body mass index (BMI), and breast size with mammographic density based on the breast imaging reporting and data system (BI-RADS) and volumetric breast density measurement (VBDM) with Volpara, (b) to evaluate the associations of age, BMI, and breast size with fibroglandular tissue volume (FGV), and (c) to demonstrate the association of mammographic density grade with FGV. From April 2012 to May 2012, 1,203 women consecutively underwent mammography, and their breast density was calculated using the density grade and volume determined by Volpara. In total, 427 women were included in this study. The BMI and breast size of the 427 women were determined. The associations between mammographic density and age, BMI, and bra cup size were assessed. In addition, the associations between FGV and age, BMI, bra cup size, and mammographic density were assessed. The mean age of the women was 51 years (range, 27-83). Age was associated with mammographic density based on BI-RADS (P<0.0001), and both age and BMI were associated with mammographic density based on Volpara (P<0.0001). The mean FGV significantly decreased as age increased (P<0.0001) and increased as BMI and bra cup size increased (P<0.0001 and P=0.0007, respectively). Age was associated with mammographic density, according to both the BI-RADS and VBDM; however, BMI was only associated with mammographic density based on the VBDM. Larger FGV was associated with younger age, higher BMI, larger bra cup size, and higher mammographic density

• Korean Journal of Adult Nursing
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• v.14 no.1
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• pp.53-61
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• 2002

Purpose: This descriptive study was designed to investigate Body Mass Index(BMI), weight control behavior, and self-esteem in high school adolescents. Method: The convenience sample consisted of 129 high school females and 106 high school males. Data were collected using a self-report questionnaire from November to December, 1999. BMI was calculated by using the subject's self-reported body weight and height to identify objective obesity. Self evaluation about subjective obesity was measured by a single item question. Preferred BMI was calculated by using the subject's elf-reported body weight and height which the subjects desired. The Rosenberg's Self-Esteem Scale was utilized to measure the level of self-esteem. Results: Results of the study revealed that high school females perceived themselves as more more obese than their the actual BMI, excessively participated in dieting behavior and exercises, and reported lower self-esteem than that of males. Conclusion: Based on this study, health care providers need to educate female adolescents about healthy behavior as well as the normal weight range in 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 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 Korean Biological Nursing Science
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• v.10 no.1
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• pp.19-24
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• 2008

Purpose: The purpose of this study was to identify the factors that influence on the weight control diet experience of the female nursing students in an university. Method: The data were collected by measuring weight, height, body mass index (BMI), waist and hip circumferences, and body satisfaction. The subjects of this research were 119 nursing students of K University in Kangwondo. And the mean age of the subjects was 20.38. Result: 67.7% of subjects had an weight control diet experience. The mean BMI of the subjects was $21.39\;kg/m^2$. There were lower BMI and higher waist/hip ratio in the weight control diet experience group. There were significant correlations between body satisfaction and BMI, waist/ hip ratio. The factor that influenced significantly on weight control diet experience was BMI. Conclusion: It is necessary to develop an educational program for reducing the risk factors due to an inadequate weight control diet for female nursing students in university.

• The Journal of Korean Medicine
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• v.24 no.1
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• pp.9-28
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• 2003

Objects : The aim of this study was evaluate the effect of the Saengsig taken along with Behavior Modification Therapy, Methods : We examined the body compositions of 20 obese patients who were treated with Saengsig and Behavior Modification Therapy for 2 months by Inbody 2.0. Results : Changes of body composition due to Saengsig with Behavior Modification Therapy were reduction of body weight by $3.14{\pm}1.33{\;}kg$, lean body mass by $0.14{\pm}1.48{\;}kg$, fat mass by $3.00{\pm}1.53kg$ and BMI by $1.30{\pm}0.54$ Conclusion : Fat mass and body fat rate were significantly reduced after treatment with Saengsig with Behavior Modification Therapy.

• 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 Korean Academy of Fundamentals of Nursing
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• v.19 no.1
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• pp.16-22
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• 2012

Purpose: The purpose of this study was to identify Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 Second ($FEV_1$), $FEV_1$/FVC according to obesity in young adult women. Method: Height, weight, body mass index (BMI), and percent body fat (PBF) were obtained by using bioelectrical impedance analysis. Neck circumference (NC), waist circumference (WC) and spirometric values (FVC, $FEV_1$, $FEV_1$/FVC) were obtained for 135 women college students who were healthy and non smokers. Results: Mean BMI and PBF were $21.8kg/m^2$ and 30.5%. Obesity prevalence according to BMI and PBF were respectively 13.3%, and 50.9%. Lean body mass (LBM) was positively correlated with FVC, $FEV_1$, and PBF was negatively correlated with FVC, $FEV_1$ and $FEV_1$/FVC. FVC and $FEV_1$ of the underweight or obese group were lower than those of normal weight group. Conclusion: PBF, but not BMI, is negatively associated with pulmonary function in women college students.

• Korean Journal of Community Nutrition
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• v.29 no.3
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• pp.189-198
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• 2024

Objectives: The sodium index is an index that converts the estimated sodium intake calculated using a verified and reliable sodium estimation formula. This study aimed to determine the relationship between the sodium index and obesity indicators and the potential impact of excessive sodium consumption on obesity. Methods: Obesity indicators, such as body mass index (BMI), body fat percentage, waist-to-hip ratio (WHR), and visceral fat levels, were analyzed in 120 university students (60 men and 60 women). The sodium index was calculated by indexing the estimated sodium intake according to age, sex, BMI, salt-eating habits, and salt-eating behaviors. The relationship between sodium index and obesity indicators was analyzed using multiple logistic regression. Results: The estimated sodium intake was 3,907.1 mg, with 76.7% of the participants categorized under the "careful" level of sodium index and 10.8% under the "moderate" level. As the sodium index increased, the BMI, body fat percentage, WHR, and visceral fat levels significantly increased. All obesity indicators significantly increased in patients with a "severe" sodium index than in those with a "moderate" sodium index. In addition, a strong positive correlation was identified between obesity indicators and sodium index. When the "severe" sodium index was compared with the "moderate" sodium index, the risk of obesity based on body fat percentage increased by 2.181 times (95% confidence interval [CI], 1.526-3.118), while the risk of obesity based on visceral fat level increased by 4.073 times (95% CI, 2.097-7.911). Conclusions: Our findings suggest a correlation between excessive sodium intake and obesity. Moreover, the sodium index can be used to determine sodium intake.

• 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.