• Research in Community and Public Health Nursing
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• v.31 no.spc
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• pp.577-590
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• 2020

Purpose: The purpose of this study was to find out the suicidal ideation rate of the elderly including individual and regional factors by sex. Methods: This is secondary analysis study that combines the data of the 2017 Community Health Survey with the e-indicator data set of the National Statistical Office, and a descriptive correlation study. Statistical analysis used hierarchical logistic regression by SAS 9.4. Results: The 11.5% of the elderly had suicidal ideation within the last year, and 18.4% in Chungnam is the highest. Individual characteristics include females, older people, lower education levels, no job or housewife, no spouse, less than seven hours of sleep per day on the average, low subjective health, high subjective stress, and the worse their economic conditions, the more they had suicide ideation. Considering regional characteristics, suicidal ideation tended to increase significantly as the number of hospital beds per 1,000 people and the rate of obesity was lower, the rate of stress perception was higher, and the odds value was small. When both individual and regional factors were considered, the model conformity of the suicidal ideation improved (ICC=0.0814). Conclusion: In order to lower the suicidal rate of the elderly, it seems that both individual and community factors need to be comprehensively approached from the stage of suicidal ideation in the community.

• The Research Journal of the Costume Culture
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• v.18 no.1
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• pp.80-92
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• 2010

This research aims at developing the dress form for the aged women based on their body shapes using the three-dimensional body scan data with the body shape categorization(according to the previous research). To accomplish this goal, the sample group of representative body shape of the 50% of median was selected by using the high frequency proportion range of each type of body shape of the aged women, and the sample group of representative body shape of each type was averaged in a three-dimensional way by using the morphing method of a three-dimension reverse-engineered software. RP in the form of torso was produced based on the shape data of the final model and the data was formed into an actual object, by which an aged women's dress form model was drawn out. The differences of the girth of the bust, hip and waist between the developed dress form model and the existing dress form model were examined. The result showed that the developed dress form had a bigger size of waist girth than that of bust and hip girth, compared to the existing dress form, which shows that it reflects the aged women's tendency of abdomen obesity, so it's expected to be more proper for the human bodies of the targeted age group than the existing dress form. These research results may help design the clothing suitable for the body shape of the aged women so that their demand for the clothing of good fit will be satisfied in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2033-2038
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• 2016

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. The important issue of a meta-analysis is not the significance test, the effect size of the predictor variable on the criterion variable. We reviewed a total of 236 samples among 6 studies published on the topic related Collagen intake on skin between 2000 and 2016 in Korea. The results of the study are summarized as follows. First, we concluded that the path between before and after of Sebum (SB) had the largest effect size of (r = .416) Therefore, the effect of the Collagen intake intervention showed an explanatory power of 17 (%) about. Next, the path between before and after of Moisture (MS) had the higher the effect size of (r = .318). Thus, we present the theoretical and practical implications of these results.

• Journal of Environmental Health Sciences
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• v.47 no.3
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• pp.227-244
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• 2021

Objectives: The Korean National Environmental Health Survey provides representative biomonitoring data for environmental pollutants in South Korea. Over the last decade, there have been various studies published using this data. In this study, we aimed to provide information and implications by reviewing each study. Methods: We searched comprehensive electronic databases from PubMed, Google Scholar, and Naver Academic database using the key words 'Korean National Environmental Health Survey' and 'KoNEHS' through March 2021. A total of 57 studies were selected after reviewing the relevance of the data. Results: The most frequently studied pollutants were heavy metals (10), Cotinine (8), Bisphenol A (7), and Phthalates (6), in that order. In particular, Phthalates, Bisphenol A, and Parabens were often studied together (6). A decline in urinary cotinine and heavy metals in the body was shown over time among studies on exposure association. It was demonstrated that Phthalates and Bisphenol A were significantly related to obesity and diabetes from the studies of health impacts. Cross-section study design, spot urine, and insufficient health status information were mostly reported as limitations of the data. Conclusion: Since research has been focused on adults, further investigations of children and adolescents are required. In this regard, it is necessary to maintain the consistency of the data structure and provide integrated weights for all ages. In addition, it would allow the measurement of several environmental pollutants by considering subsample design. Lastly, integrated studies with multi-cycles and the health effects from co-exposure to multiple chemicals would be expected to provide important knowledge.

• The Research Journal of the Costume Culture
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• v.31 no.2
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• pp.193-212
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• 2023

The purpose of this study is to classify the body types of obese men in their 50-60s and compare them with those of obese middle-aged men in their 30-40s. The 3D anthropometric data of obese men aged 50 to 60 years from the 6th Size Korea. The data are analyzed using SPSS 25.0 for Windows, and descriptive statistics, χ² test, correlation analysis, and cluster analysis are used to classify obese body types. As a result of the study, five factors are extracted to determine body types, which are classified into three obese body types through cluster analysis. 1) a large physique and consequently large circumference and height; 2) A short upper body length, short height, and thick belly; 3) the lowest rate of obesity and relatively flat abdominal curve. For the 30-40s group, Type1 showed the highest rate at 55.6%, whereas for the 50s group, Type3 showed the highest rate at 49.3%, and for 60s group, Type2 showed the highest rate at 41.2%. The classification accuracy of the discriminant function for each type is 94.7%, indicating relatively high accuracy. Furthemore, the recently changed obese body type are analyzed by comparing it with the 3D anthropometric data of 8th Size Korea, which will contribute to the utilization of basic data for manufacturing apparel for obese men.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.4
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• pp.57-72
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• 2022

This study categorized and analyzed the body types of adult women in their 20s and 30s using 3D human measurement data from the 8th Size Korea, and intended to construct body shape and dimension data necessary for modeling Korean standard avatars. Data analysis considered data from 1302 adult women in their 20s and 30s, and a total of 49 index values, drop values, and angle items were subjected to factor analysis and one-way ANOVA to categorize the body type, and Duncan test to post-verify significant differences by type. As a result of conducting factor analysis, 13 factors were extracted and were categorized into 4 body types. Type 1 is short in the upper torso, long in the lower torso, long in the arms and legs, and has a upright body shape and sagging shoulder. Type 2 is short in the torso, arms and legs, and has large torso flexion and lower body circumference. Type 3 has abdominal obesity with small torso flexion and lower body circumference. Type 4 is a small body bending forward type. For the distribution of body types by age among those in their 20s and 30s, the highest appearance rate was Type 1 and was therefore selected as the represntative body type. The body type information of this study will be used as basic data for developing standard avatars.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.329-331
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• 2021

Recently, as various cases of using deep learning in the health-care field are increasing, functions such as electrocardiogram examination and body composition analysis through wearable device can be provided to provide rational decision-making and a process tailored to the individual. In order to utilize deep learning, it it most important to secure refined data, and this data is being made through human intervention or unsupervised learning. In this paper, we propose a model that conducts unsupervised learning by clusters according to gender and age using human body data such as chest and waist circumferences, which are easy to measure, and classifies them with CNN. For data, the 7th human body data provided by Korean Agency for Technology and Standards was used. Through this, it it thought that it can be applied to various application cases such as personalized body shape management service and obesity analysis.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.147-161
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• 2023

This study used 3D anthropometric data from the 8th Size Korea to type and analyze whole body shapes of obese women in their 20s and 30s, and constructed dimensional data for human body items needed to create a 3D human body model for each type. The data analysis used data from 148 obese women in their 20s and 30s, and a total of 48 index values, drop values, and angle items were subjected to factor analysis and one-way variance analysis to categorize body types and verify significant differences by type. As a result of the factor analysis, 12 factors were extracted and divided into 4 body types. Type 1 is a 'standard type with a curved torso with balanced upper and lower body lengths', Type 2 is a 'bending forward type with a short, thick lower body, and an uncurved torso', Type 3 is a 'lean back type with a long and thin lower body and an H-shape torso', Type 4 is a 'sway back type with a long and thick lower body and abdominal obesity'. The representative body type of obese women in their 20s and 30s was identified as Type 1. The constructed body shape information will be used as basic data for future 3D human body modeling.

• International Journal of Human Ecology
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• v.4 no.2
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• pp.27-37
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• 2003

Although the idea that obese people consume higher calorie diets is widely accepted, many dietary surveys have shown that obese people do NOT consume larger amounts of energy. We had an opportunity to study the relationship between calorie intake and obesity in Korea from the data contained in the '98 National Health and Nutrition Examination Survey of Korea. The survey was executed nationwide for two months - from Nov. 1 to Dec.30 in 1998. The survey included 10,876 (aged >10 years) subjects of whom 9,771 underwent health examinations. Surveyors visited each household and checked health status, measured anthropometry and blood pressures, collected blood and urine samples, and interviewed from the health questionnaires. Well-trained dietitians evaluated the food consumption of 11,525 subjects over the age of 1 year with the 24-hour recall method. The number of subjects from whom a complete health examination and food consumption information was obtained was 8,004. Subjects were classified by BMI (< 20, 20-22, 22-24, 24-26, 26-28, 28 $\leq$) and into newly diagnosed patients with DM (FBS $\geq$ 126 mg/㎗), hypertension (SBP $\geq$ 140 mmHg or DBP $\geq$ 90 mmHg) and hyperlipidemia (Total cholesterol $\geq$ 220 mg/㎗ or TG $\geq$ 200 mg/㎗). Our main results were as following：1) their average energy intake was 2,029.6 $\pm$ 908.5 ㎉ and BMI is 22.6 $\pm$ 3.4 kg/$m^2$；2) a comparison of nutrient intakes by BMI level did not show a significant difference of energy intake even though BMI increased (BMI, < 20： 1,999 ㎉ ∼ 28 $\leq$： 2,028 ㎉)；and 3) Even in newly diagnosed patients with diabetes, hypertension or hyperlipidemia, their energy consumption was not significantly increased as BMI increased (from BMI 20). There are several possible explanations for these results：1) Reduced physical activity caused the weight of obese people to increase even with the same energy intake；2) people underreported their energy consumption；or, people intentionally reduced their energy consumption due to self-image regarding their obesity. We might also hypothesize that there is a metabolic problem conceiving obese people, because calorie intake was not higher in obese people than in non-obese people in Korea. Further research is necessary for re-evaluating these current conclusions.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.25 no.1
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• pp.84-103
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• 2012

Objectives : The middle school students'life style were studied with focus on Body Mass Index(BMI). Information was collected during 1st June 2009 to 10th July from 397 students(both male and female) by the subjective survey centered on personal characteristic, understanding about health in general, everyday activities, eating habits, preference in food, understanding about diet and obesity, and thoughts about fitness and diet. Methods : Students were selected from six classes by convenience sampling, then the final analysis was performed on 397 self-administered questionnaires, excepting 5 questionnaires, which have insincere answers. The data collection was carried out by SPSS(V.14.0 English Version), and the data was verified by $x^2$-test, ANOVA, multiple regression analysis. Results and Conclusion : The survey subjects were in the following distribution of body weights - underweight: 63.6%, normal weight: 29.5% and 6.9% were overweight. There was significantly different between BMI and mothers' occupation and satisfaction with school life(p<0.05). As for the analysis(multiple regression analysis) on understanding about health, the factors that affect BMI are self recognition of figure and efforts to reduce weight. In terms of efforts for one's own health, 78.2% of under weight and 82.3% of normal weight were taking active initiatives. But 85.2% of the overweight students were not giving any efforts. As for the free time activities, more than half answered, 'playing with computers'(48.4 - 66.7%, 1.57 hours on average). As for TV, on average, 2.03 hours were spent in overall. And it turned out that the overweight students spent more time watching TV by 46.49 minutes(0.77 hours) on average(p<0.05). 7.4 hours was the average sleeping time. As for the eating habit,'quantity of meal, snack, meal between meals, fat reduction, and supplementary food'were shown to be related to the BMI(p<0.05). The instant food, meat and sweet food were shown to be also related to the BMI. In terms of knowledge about overweight and diet, only 8 students(2% of the total) answered all 10 questions correct. On average, 7-8 questions were correctly answered(53.9 %). When the scores were analyzed against the BMI by classifying the scores to high, middle and low categories, it showed a relationship by different weight group(p<0.02), and the overweight students had higher score by 0.82 compared to the underweight students. When thoughts and attitude on fitness and diet were analyzed in relationship to the BMI, the result was only - "I try to eat fruits more often"(fruits)(p<0.00).