• 한국안광학회지
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• 제15권3호
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• pp.293-297
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• 2010

목적: 본 연구는 안압 상승의 예측인자로서의 비만 지표인 체질량지수(body mass index: BMI)와 허리둘레 중 어떤 지표가 예측인자로서 더 적절한지를 판단하기 위하여 수행되었다. 방법: 본 연구에 참여한 20세 이상의 성인 458명을 대상으로 분석을 시행하였다. BMI를 삼분위로 층화한 후 허리둘레(삼분위)에 따른 안압을 비교하였으며, 다음으로 허리둘레를 삼분위로 층화한 후 BMI(삼분위)에 따른 안압을 비교하였다. 또한, BMI, 허리둘레와 안압 간의 선형회귀분석을 각각 시행하였다. 결과: 허리둘레 층화 후 BMI에 따른 안압의 증가는 관찰되지 않았지만, BMI $24.9kg/m^2$ 이상의 대상자들에게서는 허리둘레와 안압이 양의 상관관계를 가지는 것을 확인할 수 있었다. 성별과 연령을 보정한 경우에는 허리둘레만이 안압과 유의한 양의 상관관계를 보였고, 여기에 생활변수까지 보정한 다중선형회귀분석결과 BMI와 허리둘레는 모두 안압과 유의한 양의 상관관계를 보였다. 그러나 허리둘레 증가가 안압 상승에 대해서 보다 높은 설명력과 유의수준을 보이는 것으로 평가되었다. 결론: 본 연구결과, BMI와 허리둘레 모두 안압과 양의 상관관계가 있는 것으로 확인되었으며, 허리둘레가 BMI보다 안압에 더 큰 영향을 미치는 것으로 나타났다.

• 대한간호학회지
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• 제40권6호
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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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• 제27권4호
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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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• 제26권8호
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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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• 제43권5호
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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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• 제43권5호
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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.

• 한국산학기술학회논문지
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• 제18권4호
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• pp.267-274
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• 2017

본 연구는 장기 요양이 환자의 체질량지수(Body Mass Index, BMI )와 지질대사(Lipid metabolism)에 미치는 영향을 확인하기 위한 비실험적, 후향적 조사연구이다. 연구 대상자는 경기도내 2개 요양병원에 3개월 이상 입원한 만 40- 65세 미만의 환자 120명을 대상으로 하였다. 연구 방법은 입원시와 입원 3개월 경과 후의 BMI와 총콜레스테롤 (Total cholesterol), 중성지방 (Tryglycerides, TG), 고밀도지단백 콜레스테롤 (High Density Lipoprotein, HDL) 저밀도지단백 콜레스테롤 (Low Density Lipoprotein, LDL) 수치를 비교 분석하고, 시간 경과에 따른 변화를 추적관찰하였다. 대상자의 일반적 특성은 기술통계, 빈도분석을 하였다. 또한 일반적 특성이 BMI 미치는 영향은 로지스틱 회귀분석을 실시하였다. 입원시과 입원 3개월 후의 BMI와 혈중지질농도의 변화는 paired t-test를 이용하여 분석하였다. 연구 결과, 혈중지질농도의 변화가 입원 3개월 후에 중성지방 (Triglycerides)이 유의하게 증가하였다(p<.05). 이는 급성기 치료 후 요양 및 재활을 위하여 장기 입원하는 환자는 잠재적으로 이상지질 혈증의 위험성이 높다는 것을 고려하고 이상지질혈증 예방 및 개선을 위한 운동, 식이교육을 포함한 건강교육이 필요하다는 것을 의미한다.

• 한방비만학회지
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• 제5권1호
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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.

• 대한영양사협회학술지
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• 제23권1호
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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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• 제70권3호
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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.