Purpose: The purpose of this study was to investigate the contribution of actual cardiovascular disease (CVD) risk, as well as, individual, psychosocial, and work-related factors as predictors of CVD risk perception among Korean blue-collar workers. Methods: The participants were 238 Korean blue-collar workers who worked in small companies. Data were collected through a survey; anthropometric and blood pressure measures; and blood sampling for lipid levels. Results: Blue-collar workers had high actual CVD risk and low CVD risk perception. The significant predictors of risk perception included perceived health status, alcohol consumption, knowledge of CVD risk, actual CVD risk, decision latitude, and shift work. The model explained 26% of the variance in CVD risk perception. Conclusion: The result suggests when occupational health nurses are giving routine health examination in small companies, they can enhance CVD risk perception in blue-collar workers by providing essential information about CVD risk factors and personal counseling on the individual worker's CVD risk status.
The most researches developing pattern of compression style sportswear were targeted at the live model that has muscular body build. The purpose of this study was developing a method for classifying men's lower body types in terms of muscular body build. The 3D human body scan data and body measurements of 30s of Size Korea were analyzed. The subjects (n=203) were men between the ages of 30 and 39 years. Men's muscular body build was classified with two key dimensions, thigh girth and calf girth. The subjects were divided into four groups. From each group, average subjects (n=42) whose height and weight were close to the mean value ($mean{\pm}1/2$ S.D.) were selected. 42 subjects were divided up as four groups. Group I (n=7) was thigh and calf developed body type. Group II (n=9) was thigh developed body type. Group III (n=11) was calf developed body type. Group IV (n=15) was thigh and calf undeveloped body type. Four groups had distinct different at widths (n=4), depths (n=4), and girths (n=9) dimensions. The results showed that the muscular men in their 30s could be defined by thigh and calf girths. The thigh developed muscular men had thigh girth over 60cm and the calf developed muscular men had calf girth over 38cm. From each group one representative was selected by 3D body scan figure.
A group of digital human models with various sizes which properly represents a population under consideration is needed in the design process of an ergonomic product in virtual environment. The present study proposes a two-step method which produces a representative group of human models in terms of stature and weight. The proposed method first generates a designated number of pairs of stature and weight within an accommodation range from the bivariate normal distribution of stature and weight of the target population. Then, from each pair of stature and weight, the method determines the sizes of body segments by using 'hierarchical' regression models and corresponding prediction distributions of individual values. The suggested method was applied to the 1988 US Army anthropometric survey data and implemented to a web-based system which generates a representative group of human models for the following parameters: nationality, gender, accommodation percentage, and number of human models.
Kim, Ki Eun;Cho, Young Sun;Baek, Kyung Suk;Li, Lan;Baek, Kwang-Hyun;Kim, Jung Hyun;Kim, Ho-Seong;Sheen, Youn Ho
Clinical and Experimental Pediatrics
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v.59
no.5
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pp.231-238
/
2016
Purpose: Lipopolysaccharide-binding protein (LBP) is a 65-kDa acute phase protein, derived from the liver, which is present in high concentrations in plasma. Data regarding the association between circulating plasma LBP levels and obesity-related biomarkers in the pediatric population are scarce. We aimed to determine whether there was a difference in plasma LBP levels between overweight/obese and normal-weight adolescents and to assess the correlation of circulating LBP levels with anthropometric measures and obesity-related biomarkers, including insulin resistance, liver enzyme levels, and lipid profiles. Methods: The study included 87 adolescents aged 12-13 years; 44 were overweight/obese and 43 were of normal-weight. We assessed anthropometric and laboratory measures, including body mass index (BMI), blood pressure, insulin resistance, liver enzyme levels, and lipid profiles. Plasma LBP levels were measured using an enzyme-linked immunosorbent assay. Results: The mean age of the participants was $12.9{\pm}0.3$ years. Circulating plasma LBP levels were significantly increased in overweight/obese participants compared with those in normal-weight participants ($7.8{\pm}1.9{\mu}g/mL$ vs. $6.0{\pm}1.6{\mu}g/mL$, P<0.001). LBP levels were significantly and positively associated with BMI, systolic blood pressure, aspartate aminotransferase, alanine aminotransferase, total cholesterol, low density lipoprotein-cholesterol, fasting glucose and insulin, and insulin resistance as indicated by the homeostatic model assessment of insulin resistance (HOMA-IR) (all P<0.05). In multivariate linear regression analysis, BMI and HOMA-IR were independently and positively associated with plasma LBP levels. Conclusion: LBP is an inflammatory biomarker associated with BMI and obesity-related insulin resistance in adolescents. The positive correlation between these parameters suggests a potentially relevant pathophysiological mechanism linking LBP to obesity-related insulin resistance in adolescents.
Munia Sultana;Md. Mafizul Islam;Md. Murad Hossain;Md. Anisur Rahman;Shuvo Chandra Das;Dhirendra Nath Barman;Farhana Siddiqi Mitu;Shipan Das Gupta
Genomics & Informatics
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v.21
no.3
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pp.33.1-33.11
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2023
Type 2 diabetes mellitus (T2DM) is a multifactorial, polygenic, and metabolically complicated disease. A large number of genes are responsible for the biogenesis of T2DM and calpain10 (CAPN10) is one of them. The association of numerous CAPN10 genetic polymorphisms in the development of T2DM has been widely studied in different populations and noticed inconclusive results. The present study is an attempt to evaluate the plausible association of CAPN10 polymorphism SNP-19 (rs3842570) with T2DM and T2DM-related anthropometric and metabolic traits in the Noakhali region of Bangladesh. This case-control study included 202 T2DM patients and 75 healthy individuals from different places in Noakhali. A significant association (p < 0.05) of SNP-19 with T2DM in co-dominant 2R/3R vs. 3R/3R (odds ratio [OR], 2.7; p=0.0014) and dominant (2R/3R) + (2R/2R) vs. 3R/3R (OR, 2.47; p=0.0011) genetic models was observed. High-risk allele 2R also showed a significant association with T2DM in the allelic model (OR, 1.67; p=0.0109). The genotypic frequency of SNP-19 variants showed consistency with Hardy-Weinberg equilibrium (p > 0.05). Additionally, SNP-19 genetic variants showed potential associations with the anthropometric and metabolic traits of T2DM patients in terms of body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, and triglycerides. Our approach identifies the 2R/3R genotype of SNP-19 as a significant risk factor for biogenesis of T2DM in the Noakhali population. Furthermore, a large-scale study could be instrumental to correlate this finding in overall Bangladeshi population.
Insulin resistance and pancreatic beta cell dysfunction have been established as being related to the diabetes. Lately, what is emphasizing is that those have been shown as something related to the metabolic syndrome and cardiovascular disease. Homeostasis model assessment (HOMA), simple index is calculated on blood levels of fasting glucose and insulin. And HOMA has been widely validated and applied for insulin resistance and pancreatic beta cell dysfunction. We also assessed the factors relative to insulin resistance and ${\beta}$ cell function determined by HOMA. The data from the 2010 Korean National Health and Nutrition Examination Survey were used. Analysis was done for 3,465 nondiabetic subjects (male 1,357, female 2,108). At baseline, anthropometric measurements were done and fasting glucose, insulin, lipid (Total cholesterol, HDL cholesterol, LDL cholesterol and Triglycerides) profiles were measured. HOMA-insulin resistance (HOMA-IR) and beta cell function (HOMA ${\beta}$-cell) were calculated from fasting glucose and insulin levels. In male, the value of HOMA-IR and HOMA ${\beta}$-cell was the highest among 30's and decreased as the age increased. In female, the value of HOMA-IR increased with age, while HOMA ${\beta}$-cell decreased. High HOMA-IR and low HOMA ${\beta}$-cell were associated with the highest value of fasting glucose and systolic blood pressure. Low HOMA-IR and high HOMA ${\beta}$-cell showed the lowest concentration of fasting glucose and the highest concentration of HDL cholesterol. High HOMA-IR and high HOMA ${\beta}$-cell were connected with BMI, Total cholesterol, LDL cholesterol, and Triglycerides. There was a negative correlation between HOMA ${\beta}$-cell and age. The correlation coefficients of HOMA-IR and HOMA ${\beta}$-cell showed the highest value among weight, BMI and WC.
Kim, Suk Wha;Park, Jong Lim;Kim, Jae Chan;Baek, Seung Hak;Son, Woo Gil
Archives of Plastic Surgery
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v.35
no.3
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pp.303-308
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2008
Purpose: The purpose of this study is to develop three-dimensional computerized anthropometry(3DCA) and to compare its reliability and accuracy 3DCA with manual anthropometry(MA) for measurement of lips and nasal deformities in unilateral cleft lips and palate(UCLP) patients. Methods: Samples were consisted of six UCLP patients whose facial plaster models were available immediately before and 3 months after the cleft lip surgery. MA of the facial plaster models was carried out using an electronic caliper. In 3DCA, three-dimensional auto-measuring program was used to digitize landmarks and to measure three-dimensional virtual facial models (3DVFM), which was generated with a laser scanner and 3D virtual modeling program. Intraclass correlation coefficients(ICC) were calculated to evaluate reliability and reproducibility of the variables in both methods, and Wilcoxon's signed rank test was done to investigate the difference in values of the same variables of facial models of each patient between two methods. Results: All ICC values were higher than 0.8, so both methods could be considered reliable. Although most variables showed statistical differences between two methods(p<0.05), differences between mean values were very small and could be considered not significant in clinical situation. Conclusion: In clinical situation, 3DCA can be an objective, reliable and accurate tool for evaluation of lips and nasal deformities in the cleft patients.
This cross-sectional study was conducted to describe the changes of plasma cardiovascular disease(CVD) risk factors in Korea. Overnight fasting plasma levels of total cholesterol, high density lipoprotein(HDL)-cholesterol, triacylglycerol and glucose were analyzed. Blood pressure and anthropometric data were also measured. Health practice factors such as smoking status, alcohol consumption and frequency fo exercise were evaluated by a self-administered questionnaire. Questions regarding dietary habits and food preferences were also asked. Seventy eight percent of the subjects had more than one CVD risk factor. Plasma total cholesterol, triacylglycerol, and fasting blood glucose were significantly increased according to the subjects body mass index$(kg/m^2$, BMI), whereas HDL-cholesterol, low density lipoprotein(LDL)-cholesterol and blood pressure showed no significant differences with BMI. Current smokers had significantly high plasma total cholesterol, LDL-cholesterol and triacylglycerol levels. Alcohol consumption significantly increased plasma total cholesterol and fasting blood sugar, but regular exercise had no effects on the plasma CVD risk factors. Overeating and frequency of fast food consumption were positively correlated with the CVD risk score, whereas intake of grains, meats and vegetables were negatively correlated with that score. A stepwise multiple regression analysis was performed to examine the effects of specific dietary factors on plasma lipid levels. For plasma total cholesterol level, the frequency of fast food intake explained 8% of the variance, followed by habitual overeating, frequency of grain intake and high cholesterol food intake(Model $R^2$=22.4%). For plasma triacylglycerol level, preference of oily foods accounted for 7.5% of the variance, followed by eating breakfast, preference of fruit and frequency of grain intake(Model $R^2$=22.0%). The findings suggest that intervention programs to reduce the risk of CVD should focus on health practice through reducing BMI, smoking cessation and moderate or no alcohol drinking. Moreover, desirable dietary habits such as eating breakfast, not overeating and reduced intake of fast food may improve CVD risk.
Monocyte chemoattractant protein-1 (MCP-1) plays an important role in cardiovascular disease (CVD). Genetic polymorphism in the regulatory regions of MCP-1 could affect MCP-1 expression. The purpose of the study was to explore the possible association of MCP-1 -2518 A/G genetic polymorphism and CVD risk factors in the elderly Korean population. Dietary, anthropometric, and biochemical factors were assessed in 168 subjects. The frequency of A/A, G/A, and G/G genotypes was 14.2%, 45.8%, and 40.0%, respectively. The blood level of MCP-1 was significantly higher in subjects with A/A genotype. The MCP-1 level was significantly higher in A/A genotype with hypercholesterolemia than in other genotypes. Meat intake and percent energy from lipids were significantly positively correlated with the MCP-1 level, especially, stronger in A/A genotype. In the stepwise discriminant analysis, TNF-${\alpha}$ level, meat intake, HDL-C were associated with MCP-1 in all subjects (model $R^2=24%$). TNF-${\alpha}$ level, sugar intake, cholesterol intake, and meat intake affected MCP-1 in A/A genotype (model $R^2=82%$), but not in G/A or G/G. In conclusion, subjects possessing A/A genotype exhibited higher levels of MCP-1 than other genotypes in Korean elders. Further, meat, sugar, and cholesterol intakes affected the MCP-1 level. Therefore, the decrement of meat, sugar, and cholesterol intakes helps to normalize the MCP-1 level and can decrease CVD risk in A/A genotype.
This study was conducted to determine the association between dietary calcium intake and biomarkers related to lipid and glucose metabolism and inflammation in Korean patients with type 2 diabetes. Seventy-five subjects (41 males, 34 females) were recruited from a group of patients who had visited the department of endocrine medicine. Data on anthropometric characteristics, clinical indices such as hemoglobin A1c and C-reactive protein (CRP), and dietary nutrient intakes were collected. Subjects were divided into three groups on the basis of their calcium intake [< EAR (below estimated average requirement), EAR-RNI (between EAR and recommended nutrient intake), > RNI (above RNI)]. Average calcium intake of < EAR, EAR-RNI, > RNI groups were $462.7{\pm}18.7$, $649.7{\pm}12.8$, and $895.7{\pm}21.7mg$, respectively. Energy intake was not different among groups but intakes of protein, total and saturated fatty acids were significantly higher in > RNI group than < EAR group. Analysis of covariance revealed that HDL cholesterol level was significantly higher in EAR-RNI group, as compared to < EAR group after adjustment with confounders such as age, sex, BMI and energy intake (p < 0.05). Levels of CRP and homeostasis model assessment 2-insulin resistance (HOMA2-IR) were significantly lower in EAR-RNI group. Total cholesterol level was higher in EAR-RNI and > RNI groups, although within the normal range. Our results suggest that dietary calcium intake may influence the levels of HDL-cholesterol, CRP and HOMA2-IR and subsequently, help management/treatment of type 2 diabetes patients.
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