• The Research Journal of the Costume Culture
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• v.22 no.6
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• pp.943-954
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• 2014

The purpose of this study was to analyze the breast growth variation trends and characteristics of Korean adolescent girls based on 3D body measurements. Subjects were 174 girls aged between 13 and 18. 3D body scanning data were collected and the data were measured by Geomagic Design X program. The total of 18 anthropometric measurements and 4 index items were analyzed. The main results of this study are as follows: 1) Overall, the breast growth of adolescent girls got out of children's body shapes at the age of 14 and the adult's body shapes appeared remarkably at the age of 18. Before the age of 15, the adolescent girls' breast enlarged. 2) The surface lengths of upper body, which means the breast volume, showed significant growth above B cup groups rather than under A cup groups. The demand of B cup size (32.2%) was higher than A cup size (25.9%). And 35.6% of subjects' brassiere band size was 70. 3) The thorax grew evenly in the circumference, depth and breadth. The thoracic development related to the breast volume as well as the whole upper body's development. These results reveal that it is necessary to develop adolescent girls' brassiere reflecting on adolescent girls' breast growth variation trends and characteristics by age, breast size and thoracic development.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.280-288
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• 2000

This study was undertaken to compare the obesity related dietary factors among rural middle school students living in Korea. Anthropometric data showed that mean height and weigh were 161.7$\pm$13.0 and 49.8$\pm$10.3kg in 226 male students and 158.3$\pm$6.1 and 48.2$\pm$7.5kg in 212 female students. Mean BMIs for boys and girls were 19.10$\pm$2.47 and 19.26$\pm$2.35, respectively. 71.68% of male students and 72% of female students were underweight by the BMI index. The BMI of older students was higher than young ones in both sexes. Most nutrient intakes of the subjects were below the RDA. In particular Ca and Fe intakes were extremely low in both sexes. 66.88% of the students skipped breakfast and it was found that the reasons for missing a meal for both sexes were significantly different. Compared to males, more female respondents felt guilty and depressed related to eating. Furthermore, females were more significantly concerned with body image, diet, and body weight(p〈0.001), and they were not satisfied with their weight. The sources of information on obesity and diet were from radio and TV in males while females got information from magazines and friends. In male students their ideal body weight was higher was higher than actual body weight. In contrasting, female students desired a thin body shape. A different approach for nutrition education for adolescents should be developed and implemented based on sex.

• Korean Journal of Community Nutrition
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• v.13 no.3
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• pp.439-452
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• 2008

This study was conducted to identify major dietary patterns of generally healthy Korean middle-aged women and to examine associations of the dietary patterns with socio-demographic, psychological, and physical characteristics. Data were drawn from the 2001 Korean National Health and Nutrition Examination Survey (KNHANES), which is an ongoing national surveillance system. Healthy female subjects aged 40-64 years and provided the health interview examination and food frequency questionnaire (FFQ) data were included. We conducted factor analysis based on daily mean intake frequency of 26 food groups and identified 3 major dietary patterns, healthy, convenient, and alcohol-animal. The healthy pattern was characterized by higher intakes of fish, seafood, poultry, mushroom, seaweed, vegetable, tomato, potato, and fruit, the convenient pattern by processed meat and fish, ramen, noodle and rice cake, sweet snack, egg, bread, and fast food, and the alcohol-animal pattern by alcohol, poultry, meat, and fish. The healthy pattern was significantly related with higher socio-economic status, more stable family structure, healthier mentality, and sounder status of anthropometric and biochemical variables. Those with higher factor scores for the convenience pattern were found to be younger and having higher socio-economic status, higher subjective levels of health, and lower subjective levels of worry on health. Several physical characteristics significantly improved as the levels of the convenience pattern increased. The alcohol-animal pattern was significantly associated with several socio-demographic characteristics including a low education level, a young age, a small family size, and blue-collar jobs. Public health policy makers can utilize the study findings to select prior target populations with higher needs and to tailor dietary behavioral messages to lower chronic disease risks among Korean middle-aged women.

• 한국노년학
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• v.38 no.3
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• pp.537-550
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• 2018

The purpose of this study was to investigate the status of total body water and it's influencing factors in community elderly. In this descriptive study, data were collected from 135 elderly at senior citizen center, from October 4 2016 to February 28 2017. Surveys using questionnaire and anthropometric measurements for BMI and total body water were done for data collection. The results of the study showed that while most of the subjects of the study showed total body water within the appropriate range, some elderly especially elderly women show a degraded total body water. Total body water showed significant difference according to sex, body mass index, number of chronic illness, number of medication and urinary incontinence levels. Significant influencing factors were BMI(${\beta}=-0.51$, p=<.001), sex(${\beta}=-0.47$, p=<.001) and this regression model explained 51% of the variance in total body water. In the future, attention needs to be paid to the total body water of the elderly in the local community, especially to the elderly women with risk factors.

• Journal of Preventive Medicine and Public Health
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• v.52 no.4
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• pp.242-249
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• 2019

Objectives: Elderly individuals with diabetes should maintain a normal body mass index (BMI) to help control their blood glucose levels. This study investigated barriers to physical activity (PA), self-efficacy to overcome those barriers, and PA self-efficacy among elderly individuals with diabetes in relation to BMI. Methods: This cross-sectional study included 56 participants. Data were collected by a questionnaire interview and direct measurements for anthropometric data. PA self-efficacy was measured using 8 questions describing different levels of PA, where participants rated the strength of their belief that they could engage in that activity. Self-efficacy to overcome barriers was measured using 10 questions capturing participants' confidence in their ability to engage in PA despite different possible barriers. Mean scores for these parameters were analyzed using the chi-square test and the independent t-test. Results: In total, 89.3% of participants had a low PA level and 58.9% had more than 3 hours of sedentary activity per day. Furthermore, 55.4% were obese and 14.3% were overweight. The mean scores for PA self-efficacy and self-efficacy to overcome barriers were $59.1{\pm}26.4$ and $52.5{\pm}13.8$, respectively. PA level was related to BMI (p<0.001; r=0.116) and sedentary activity (p<0.05; r=0.274). PA self-efficacy and age were not related to BMI. Barriers to PA were associated with PA levels (p<0.05). Conclusions: Physical inactivity was a major problem in elderly individuals with diabetes, and was correlated with higher BMI. Lower levels of PA might be mediated by sedentary activity.

• Fashion & Textile Research Journal
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• v.21 no.3
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• pp.308-317
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• 2019

This study provided data for classifying and characterizing the lower half of the body shape for obese adult men in their 30s and 40s. Data of 492 adult males who were obese with a WHO criteria of >25 BMI were used for analysis. The results of the study are as follows. Six factors extracted from the factorial analysis as independent factors for cluster analysis were classified into three types. Type 1 (65.4%) had the lowest height of the lower half of the body with short circumference and length. Type 2 (20.3%) had the lowest height of the lower half of the body with the largest thickness, width and circumference from the back to the hip, but short in length. Type 3 (14.2%) had the lowest height of the lower half of the body with medium height and waist-height; however, the curve from the waist to the hip was the largest with the largest waist circumference, hip circumference, and width and thickness of the lower half of the body. This study will help to design a slack pattern that utilizes body shape characteristics of men in their 30s and 40s. In a follow-up study, we analyze the slack pattern and educational pattern by the company and study the necessity for a slack pattern for obese males.

• Nutrition Research and Practice
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• v.13 no.3
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• pp.247-255
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• 2019

BACKGROUND/OBJECTIVES: Accurate, early identification of acutely malnourished children has the potential to reduce related child morbidity and mortality. The current World Health Organisation (WHO) guidelines classify non-oedematous acute malnutrition among children under five using Mid-Upper Arm Circumference (MUAC) or Weight-for-Height Z-score (WHZ). However, there is ongoing debate regarding the use of current MUAC cut-offs. This study investigates the diagnostic performance of MUAC to identify children aged 6-24 months with global (GAM) or severe acute malnutrition (SAM). SUBJECTS/METHODS: Cross-sectional, secondary data from a community sample of children aged 6-24 months in Niger were used for this study. Children with complete weight, height and MUAC data and without clinical oedema were included. Using WHO guidelines for GAM (WHZ < -2, MUAC < 12.5 cm) and SAM (WHZ < -3, MUAC < 11.5 cm), the sensitivity (Se), specificity (Sp), predictive values, Youden Index and Receiver Operating Characteristic (ROC) curves were calculated for MUAC when compared with the WHZ reference criterion. RESULTS: Of 1161 children, 23.3% were diagnosed with GAM using WHZ, and 4.4% with SAM. Using current WHO cut-offs, the Se of MUAC to identify GAM was greater than for SAM (79 vs. 57%), yet the Sp was lower (84 vs. 97%). From inspection of the ROC curve and Youden Index, Se and Sp were maximised for MUAC < 12.5 cm to identify GAM (Se 79%, Sp 84%), and MUAC < 12.0 cm to identify SAM (Se 88%, Sp 81%). CONCLUSIONS: The current MUAC cut-off to identify GAM should continue to be used, but when screening for SAM, a higher cut-off could improve case identification. Community screening for SAM could use MUAC < 12.0 cm followed by appropriate treatment based on either MUAC < 11.5 cm or WHZ < -3, as in current practice. While the practicalities of implementation must be considered, the higher SAM MUAC cut-off would maximise early case-finding of high-risk acutely malnourished children.

• Journal of Nutrition and Health
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• v.55 no.2
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• pp.309-320
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• 2022

Purpose: This study aimed to investigate the association between steamed food intake and risk of metabolic syndrome (MetS) in Korean females. Methods: Using Ansan/Ansung data of Korean Genome and Epidemiology Study, general characteristics, nutritional intake and biochemical and anthropometric markers of a total of 4,056 females aged 40 to 69 years were analyzed. MetS was defined following National Cholesterol Education Program Adult Treatment Panel III with some minor modifications. Logistic regression models were established to present the association between steamed food intake and the risk of MetS. Levels of food and nutrient intake by the frequency of steamed food intake and MetS phenotype were analyzed using general linear models. Results: A total of 38.4% of females had MetS. Among them, 24.9% of females with MetS had steamed food more than 1-3 times per week, which reduced the risk for MetS by about 25% (95% confidence interval [CI], 0.650-0.865). However, such association was not evident when various lifestyle factors were considered in statistical models. In rural residents, the benefit of having more steamed food was observed (adjusted odds ratio: 0.747; 95% CI, 0.583-0.958). The frequency of steamed food intake was associated with various food and nutritional intakes. However, trends in those did not differ by MetS phenotype. Conclusion: Having steamed food more than 1-3 times per week may reduce the risk of MetS compared to those who had less steamed food in Korean females. This protective effect of steamed food intake may differ by lifestyle and environmental factors. Although a clear difference in food and nutritional intake was not observed in this study, steaming could be an effective cooking method for a healthy diet for disease prevention and management.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.48 no.5
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• pp.277-283
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• 2022

Objectives: The main purpose of the present study was to investigate the associations between the risk of obstructive sleep apnea (OSA) and chronic orofacial pain in a nationally representative sample of the Korean population. Materials and Methods: Data from the 8th wave Korean national health and nutrition examination survey, which was conducted from 2019 to 2020 were analyzed. This study included 5,780 Koreans (2,503 males, 3,277 females) over 40 years of age. The presence of subjective chronic facial pain lasting more than 3 months was evaluated based on a self-reported questionnaire. The risk of OSA was determined using the STOP-BANG questionnaire. Data related to anthropometric and sociodemographic factors; diagnostic history of hypertension, depression, and OSA; level of health-related quality of life and stress awareness; health-related behaviors, including smoking and alcohol drinking; and sleep duration were collected. The participants were classified into two groups according to the presence of chronic facial pain. Results: The level of health-related quality of life and stress awareness showed significant differences between the two groups. The sleep duration on weekends also presented significant differences. No significant differences were observed in the presence of snoring and observed apnea, while participants with chronic facial pain showed significantly higher levels of tiredness between the groups. The risk of OSA evaluated by STOP-BANG questionnaire showed significant differences between groups; however, the risk of OSA seemed to be higher in participants without chronic facial pain. Conclusion: The participants with chronic facial pain demonstrated decreased sleep duration, lower health-related quality of life, and increased stress and tiredness. Even though, the role of OSA in the development of chronic facial pain was inconclusive from the study, it is possible that ethnicity play a role in relationship between OSA and chronic facial pain.

• Imaging Science in Dentistry
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• v.52 no.3
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• pp.239-244
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• 2022

Purpose: Despite the proliferation of numerous morphometric and anthropometric methods for sex identification based on linear, angular, and regional measurements of various parts of the body, these methods are subject to error due to the observer's knowledge and expertise. This study aimed to explore the possibility of automated sex determination using convolutional neural networks(CNNs) based on lateral cephalometric radiographs. Materials and Methods: Lateral cephalometric radiographs of 1,476 Iranian subjects (794 women and 682 men) from 18 to 49 years of age were included. Lateral cephalometric radiographs were considered as a network input and output layer including 2 classes(male and female). Eighty percent of the data was used as a training set and the rest as a test set. Hyperparameter tuning of each network was done after preprocessing and data augmentation steps. The predictive performance of different architectures (DenseNet, ResNet, and VGG) was evaluated based on their accuracy in test sets. Results: The CNN based on the DenseNet121 architecture, with an overall accuracy of 90%, had the best predictive power in sex determination. The prediction accuracy of this model was almost equal for men and women. Furthermore, with all architectures, the use of transfer learning improved predictive performance. Conclusion: The results confirmed that a CNN could predict a person's sex with high accuracy. This prediction was independent of human bias because feature extraction was done automatically. However, for more accurate sex determination on a wider scale, further studies with larger sample sizes are desirable.