• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1303-1314
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• 2009

The purpose of this study lies in examining the characteristics of differentiated body types for plus-size women and obtaining basic data for the wide-ranging choices of ready-made clothing in a consumer's place. The results of this study displayed no significant differences for subjects in their 30s and 40s in comparison to standards by ages but showed a significant difference with subjects in their 50s when compared with the data from Size Korea (2004). Research data in the height and length categories were lower, and the majority of data from the other categories were higher. In order to analyze the characteristics of a plus-size woman's body, 4 factors were differentiated into 3 types with 17 categories: Factor 1 was the element of the thickness of the trunk, factor 2 was the element of the thickness of the lower body and legs, factor 3 was the element of shoulder size and factor 4 was the element of the upper body length. The accumulation rate was shown to be 74.47%. The characteristics for each type were as follows: Type 1 is a body type with a relatively thin waist, small width and girth of upper body and curvy lower body, type 2 is the average body type, and type 3 is a body type with big breasts and abdominal obesity. The standard body type belonged to type 2. According to the correspondency test between age and type, the characteristics of type 1 corresponded relatively close to the measures of subjects in their 40s and relatively far from subjects in their 30s to 50s while type 2 and type 3 appeared to be similar to subjects in their 50s.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.149-152
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• 2017

Big data analysis is an effective analysis techniques of unstructured data such as internet, social network services, web documents generated in mobile environment, e-mail, and social data, as well as formal data well organized in the database. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Today, regardless of gender and age is increasing interest in whether you can lead a younger and healthier life. With this change of life which has been developed with a variety of functional health food. Aronia melanocarpa called black chokeberry is a fruit of berry plants belonging to the Rosaceae originally growing in the North America region. In the studies for factors related to quality characteristics and antioxidant activities as the extracts of Aronia in this study, which it is only targeted factors as total sugar, acidity, polyphenol, anthocyanin, antioxidant. Thus, we present the theoretical and practical implications of these results.

• Fashion & Textile Research Journal
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• v.22 no.4
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• pp.495-503
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• 2020

This study classified lower body shape according to thigh and waist shape to improve the fit of skinny blue jeans in adult women in their 20s. We analyzed the three-dimensional automatic measurement data, three-dimensional indirect measurement data, and index data using the three-dimensional female (20-29 years old) body scan data provided by Size Korea (6^th Korean Human Dimensional Survey Project). Factor analysis was performed to classify body type. We selected and analyzed 34 items related to thigh shape based on index items, angle items, and protrusion amount items from 99 items; consequently, seven factors were extracted and 82.39% of the total variance was explained. Cluster analysis according to factor analysis classified it into 4 types, and a post-test Duncan test was conducted to classify thigh features according to classified types. As a result, the characteristics of lower body shape according to the thigh types of women in their 20s are as follows. Lower Body Type 1 is shape with a more prominent belly and less prominent thighs. Lower Body Type 2 is a slender body figure with larger hips. Lower Body Type 3 has more prominent thighs compared to the waist and belly. Lower Body Type 4 has both a prominent belly and prominent thighs.

• Journal of Preventive Medicine and Public Health
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• v.49 no.3
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• pp.143-152
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• 2016

Objectives: Metabolic syndrome is a cluster of risk factors for type 2 diabetes mellitus and cardiovascular disease. Associations between metabolic syndrome and several types of cancer have recently been documented. Methods: We analyzed the sample cohort data from the Korean National Health Insurance Service from 2002, with a follow-up period extending to 2013. The cohort data included 99 565 individuals who participated in the health examination program and whose data were therefore present in the cohort database. The metabolic risk profile of each participant was assessed based on obesity, high serum glucose and total cholesterol levels, and high blood pressure. The occurrence of cancer was identified using Korean National Health Insurance claims data. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models, adjusting for age group, smoking status, alcohol intake, and regular exercise. Results: A total of 5937 cases of cancer occurred during a mean follow-up period of 10.4 years. In men with a high-risk metabolic profile, the risk of colon cancer was elevated (HR, 1.40; 95% CI, 1.14 to 1.71). In women, a high-risk metabolic profile was associated with a significantly increased risk of gallbladder and biliary tract cancer (HR, 2.05; 95% CI, 1.24 to 3.42). Non-significantly increased risks were observed in men for pharynx, larynx, rectum, and kidney cancer, and in women for colon, liver, breast, and ovarian cancer. Conclusions: The findings of this study support the previously suggested association between metabolic syndrome and the risk of several cancers. A high-risk metabolic profile may be an important risk factor for colon cancer in Korean men and gallbladder and biliary tract cancer in Korean women.

• Journal of Sasang Constitutional Medicine
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• v.34 no.1
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• pp.46-57
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• 2022

Background Adherence to healthy diet acts as a key role to modify sedentary lifestyle in real life setting. Constitution type of traditional Korean medicine has been prediagnosed to risk factors of cardiometabolic diseases. This study aims to evaluate the associations between body composition and healthy eating status in Korean adults by their constitution type. Methods Of 4046 participants from Korean Medicine Daejeon Citizen Cohort study, Korean Medicine Daejeon Citizen Cohort (KDCC) study were included for analysis. Demographic, health-related behaviors and Korean Medicine (KM) type were surveyed based on a general health-related questionnaire. Anthropometric measurements and dietary factors by using Korean Healthy Eating Index (KHEI) were assessed only in the half of the original participants. Results 50.8% of Taeeum was observed from eligible 1967 participants (66.7%, women). The highest KHEI score was observed in soyang group (52.0±0.3, p=0.006) compared to other two groups. In taeeum group, lower appendicular skeletal muscle mass (ASM)(%)(Taeeum: 38.7±0.1 vs. Soeum/Soyang: 39.2±0.1, p < 0.05), and higher percent of body fat (PBF)(%) (Taeeum: 32.9±0.2 vs. Soeum/Soyang: 29.0±0.2, p < 0.05) by the lowest tertile (T1) of the KHEI score, respectively. When the KHEI score increased by 1 point in taeeum group, a positive relationship was observed, which increased by 0.015% of ASM, however, a negatively related to in which body fat mass (BFM) decreased by 0.022 kg and PBF decreased by 0.024%. Conclusion Customized nutritional management is required that could help maintaining physical health and diet by their constitution type.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.33-47
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• 2023

In this study, the difference in human body dimensions between the age groups of Generation M (27 to 39 years old) and Generation Z (20 to 26 years old) was analyzed. This study also analyzed if there was a change in the body shape of the MZ generation, who have different sensibilities from the "young people" of the past. In addition, major changes in human body dimensions were carefully analyzed and presented as basic data for clothing design. Therefore, a t-test was performed to verify the significant differences in the measurements of each age group. To examine the change in human body measurements according to the measurement year, the 7th and 8th size Korea data statistics were analyzed. The main required dimensions of clothing design were analyzed graphically for visual changes according to measurement year and age group. As a result of the analysis, Generation Z was found to have a difference in body shape from Generation M, and is generally smaller and slimmer with broader shoulders. In addition, the body shape change between the 7th and 8th measurement periods was significantly higher than the 8th measurement overall. Height has increased and back length has become shorter, resulting in a larger ratio of lower body length. In addition, the proportion of obesity abnormalities has increased. Therefore, since the dimensional system set from the past data can cause problems for the fitting of clothing for the MZ generation, it is necessary to design the clothing and reset the dimensional system making it suitable for the changed the body shape of the MZ generation.

• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.439-449
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• 1996

This study was conducted to evaluate the relationship between change in obesity indices and change in serum lipids in adult male workers. Two-hundred-eight adult male workers of an industry in Taegu city were followed-up from 1991 to 1995. Height, weight, circumferences of hip and waist, blood pressure were measured and serum lipids were analysed. Data on life style were obtained using self-administered questionnaires. Mean differences of anthropometric measurements between 1991 and 1995 were as follows: 1.63kg in weight, 3.61cm in waist circumferences, 4.23cm in hip circumferences, $0.52kg/m^2$ in BMI and -0.021 in WHR. Those of lipids were as follows; 15.09mg/dl in total cholesterol, 20.43mg/dl in triglyceride, 9.40mg/dl in HDL-cholesterol, 2.87 in MI - index (p<0.01) and 350mg/dl in LDL-cholesterol. The changed value of BMI and Katsura index were strongly correlated with that of total cholesterol(r=0.174, p<0.05), the changed value of BMI correlated with that of triglyceride(r=0.374, p<0.01) and the changed value of weight correlated with that of MI index(r=-0.173, p<0.05). The changed value of WHR was signifiantly correlated with that of total cholesterol(r=0.162, p<0.05), however, was not significantly correlated with HDL-cholesterol, LDL-cholesterol, triglyceride and MI index. The changed value of weight, BMI and Katsura index were correlated with that of triglyceride (r=0.262, p<0.01; r=0.267, p<0.01; r=0.258, p<0.01) and the changed value of MI index(r=0.143, p<0.05; r=-0.158; r=-0.144, p<0.01), adjusting the pattern of change in life style. The changed values of HDL - cholesterol and MI index between 1991 and 1995 in low WHR group were significantly higher than those in high WHR group(p<0.05, p<0.01), adjusting the baseline value of them. Similar pattern was observed when considering Katsura index. When stratifying by BMI value of 1991, in low BMI group, the changed value of HDL - cholesterol and MI index showed the same pattern as above, however that of triglyceride was statistically higher in obese group than in non obese group(p<0.05). In conclusion BMI might be a better indicator to predict serum lipids change than other obesity indices.

• Journal of Life Science
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• v.20 no.7
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• pp.1012-1018
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• 2010

The aim of this study was to determine whether Alzheimer's amyloid precursor protein (APP) is dysregulated in adipose tissues of C57BL/6 male mice by high-fat diet (HFD) induced obesity, aging, or streptozotocin (STZ)-induced diabetes. APP mRNA expression was examined by quantitative real-time PCR (QPCR) in subcutaneous (SAT) and epididymal adipose tissues (EAT) from mice in 8 different condition groups. By combining conditions of age (16 weeks/26 weeks of age), diet (normal diet (ND)/high-fat diet), and induction of diabetes (non-diabetic/diabetic), 88 mice were divided into 8 different groups. QPCR demonstrated that APP expression in SAT was significantly increased by about two-fold in HFD-induced obese mice compared to both 16 week-old and 26 week-old mice in the ND group (16 weeks p=0.001; 26 weeks p<0.0001), but no changes in EAT was found. Particular effects of aging on APP gene expression were not observed in either adipose tissue depots. Significantly decreased APP expression was found in SAT in STZ-induced diabetic mice fed on ND or HFD at 16 weeks of age (ND p<0.05; HFD p<0.01). Linear regression analysis demonstrated that APP expression levels correlated with body weight in both the non-diabetic group (R=0.657, p<0.0001, n=39) and the diabetic group (R=0.508, p=<0.0001, n=49), but did not correlate with plasma glucose levels, which suggests that decreased APP expression in STZ-induced diabetic mice is most likely due to weight loss rather than hyperglycemia. These data confirm APP dysregulation by weight changes in humans and suggest a possible role linking midlife obesity with the later development of amyloidogenesis in the brain of older patients with Alzheimer's disease.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.685-698
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• 2023

This study aimed to identify binge-eating behavior and food addiction in Korean population and to determine their associations with obesity, eating behaviors, mental health and cognitive characteristics. We collected clinical questionnaire scores related to eating problems (e.g. binge eating, food addiction, food cravings), mental health (e.g. depression), and cognitive functions (e.g. impulsivity, emotion regulation) in 257 Korean adults in the normal and the obese weight ranges. Binge-eating and food addiction were most frequent in obese women (binge-eating: 46.6%, food addiction: 29.3%) when we divided the participants into 4 groups depending on gender and obesity status. The independence test using the data with propensity score matching confirmed that binge-eating and food addiction were more prevalent in obese individuals. Finally, we constructed the logistic regression models using forward selection method to evaluate the influence of various clinical questionnaire scores on binge-eating and food addiction respectively. Binge-eating was significantly associated with the clinical scales of eating disorders, food craving, state anxiety, and emotion regulation (cognitive reappraisal) as well as food addiction. Food addiction demonstrated the significant effect of food craving, binge-eating, the interaction of obesity and age, and years of education. In conclusion, we found that binge-eating and food addiction are much more frequent in females and obese individuals. Both binge-eating and food addiction commonly involved eating problems (e.g. food craving), but there was difference in mental health and cognitive risk factors. Therefore, it is required to distinguish food addiction from binge-eating and investigate intrinsic and environmental risk factors for each pathology.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.10 no.2
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• pp.171-180
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• 2003

Purpose: The purpose of this study was to investigate the relationship of self-efficacy, knowledge about the disease, and self-care behavior to the metabolic level in patients with NIDDM. Method: Data were collected from March 15 to April 15, 2001. Participants in the study were 48 patients with NIDDM who were seen regularly at the endocrinology out-patient department of Gwangju Christian Hospital. The data were collected through individual interviews and patient blood samples. The data were analyzed with SPSS/PC+, using t-test, ANOVA, Pearson correlation coefficients and Cronbach's Alpha. Result: 1. The mean score for self-efficacy was $71.37{\pm}15.56$, knowledge $15.00{\pm}2.84$, self-care behavior $63.18{\pm}13.10$. The mean score for HbAlc level was $7.66{\pm}1.77%$, HDL cholesterol level, $46.22{\pm}13.04 mg/dl$ and total cholesterol level, $187.93{\pm}41.45 mg/dl$. 2. There was a significant difference between patients with a spouse and those without one (t=-2.08, p=0.042), in knowledge according to level of obesity (t=5.14, p=0.010), duration of illness (t=3.22, p=0.031) and presence of complications related to diabetes (t=-2.58, p= 0.013). There were no significant differences in self-care behavior, but there were significant differences in sugar metabolic level according to sex (t=-2.02, p=0.050). 3. The correlation between diabetic patients' self-efficacy, knowledge and self-care behaviour and metabolic control was significantly related only to self-efficacy and self-care behavior (r=.692, p=0.000). Conclusion: It is necessary to improve self-efficacy, knowledge, and self-care behavior for patients with NIDDM by using nursing intervention programs to promote and maintain metabolic control.