• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.509-519
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• 2018

This is a correlational study to investigate the degree of expectation regarding aging, depression and health promotion lifestyle and to identify the factors influencing health promotion lifestyle among health checkup examinee. The subjects of the study were 143 health checkup examinee who visited the M medical center located in G Metropolitan city. Data were collected from July 5 to 21, 2016 using the structured questionnaire of self-report form. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and hierarchical regression. As a result, health promoting lifestyle were correlated with expectation regarding aging positively, and with depression negatively. The factors influencing the health promotion lifestyle were education level, perceived health status, time to move to health care facilities, expectation regarding aging, and depression. With controlled general characteristics, the level of health promotion lifestyle was better explained by the addition of the independent variables of expectation regarding aging, and depression, and the explanatory power of the final model was calculated as 27.0%. Therefore, in order to improve health-promoting lifestyle, it is necessary to consider cognitive factors (knowledge, expectation regarding aging) and psychological factor (depression) besides physical approach.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3230-3242
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• 2015

In this study, in an attempt to elucidate the relevance and the association between AUDIT level and health related indices such as obesity-related indices (BMI, waist circumference, body fat percentage), serum liver-enzyme levels (AST, ALT, GGT, total bilirubin) and serum lipid levels (TC, TG, HDL-C, LDL-C), data about including results of health checkup examination and questionnaire from 558 male examinees of 30-79 years old, who received a comprehensive health examination in the health promotion center of a university hospital during the period of January 1 to December 31, 2012, was analysed. As a results, the distribution of AUDIT rating of subjects was Zone I 58.2%, Zone II 25.3%, Zone III 7.0%, and Zone IV 9.5%. And AUDIT levels have significant relevance with age, smoking, body fat, GGT and TG. Especially, for the waist circumference, GGT and TG, the odds ratio indicating abnormality significantly increased in the higher AUDIT groups (Zone II~Zone IV) than a low-grade group (Zone I). This suggests that drinking problem with a high AUDIT level has a significant relevance with an abnormal increase of indices for obesity, serum liver-enzyme levels, serum lipid levels.

• Journal of Preventive Medicine and Public Health
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• v.33 no.1
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• pp.69-75
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• 2000

Objectives : This study was conducted to evaluate the risk factors associated with cardiovascular disease. Methods : By the questionnaire, the informations of education level, monthly income, alcohol consumption and smoking habit were obtained. Height, weight and blood Pressure(BP) were measured by a trained nurse. The level of lasting blood sugar(FBS), total cholesterol, hight-density lipoprotein(HDL) cholesterol and triglyceride were tested by enzyne method about a group of 2888 males and 1696 females ages ever 20 who had never taken the medication for hypertension. Statistical analysis, ANOVA, stepwise multiple regression, correlation analysis were peformed using SAS package program. Results : There were significant differences among age groups in systolic and diastolic blood pressure, body mass index(BMI), FBS, triglyceride and cholesterol except HDL-cholesterol. The risk factors associated with systolic and diastolic BP significantly in male were BMI, age, alcohol intake, but in female BMI, age. Smoking habit had a significant negative correlation with BP in both sex. In the group of mild hypertension ($\geq140\;mmHg\;or\geq90\;mmHg$ defined by JNC-VI) and hypertension ($\geq160\;mmHg\;or\;\geq95\;mmHg$ defined by WHO), the percent of diabetes $(FBS\geq140\;mg/dl)$, hypercholesterolemia $(\geq240mg/dl)$, and hypertriglyceridemia $(\geq200\;mg/dl)$ were significantly higher compared with normal group in male and female. BMI, and alcohol consumption had a positive correlation with FBS, total cholesterol and triglyceride. Smoking had a positive correlation with cholesterol and triglyceride but negative correlation with HDL-cholesterol in male. The educational attainment had a negative correlation with BMI, FBS, total cholesterol and triglyceride in female. Conclusions : This study suggested that drinking, smoking, and BMI and lower educational level were associated with hypertension, hyperlipidemia and diabetes, but further evaluation was needed by prospective intervention study.

• The Korean Journal of Nuclear Medicine Technology
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• v.15 no.1
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• pp.3-9
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• 2011

Purpose: Generally dual energy X-ray absorptiometry has been used for the purpose of evaluation of osteoporosis and treatment. Recently the interest of obesity came to be high and body percent fat test is increasing. Existing measure of body fat have to scan the whole body can be evaluated, but only lumbar spine and hip measurements was assumed to be whole body fat as well as improving the software. It tries to check whether the part measured value not being whole body measurement has the validity or not compared with the value calculated with the method that it is different, it forgives through a correlation with a (BIA) and (BMI). Materials and Methods: In 2010, the body percent fat was measured among the examinee coming to the Asan Medical Center public health care center from March till August against 90 females more than 40 years old through (DXA) and BIA. BMI utilized the value which wrote an hight and weight measured through the body measuring instrument in the examinee information and is automatically calculated. In addition, it classified as the low weight ($13-18.5kg/m^2$), normal ($18.5-25kg/m^2$), and corpulence ($25-30kg/m^2$) based on BMI and so that it could check whether there was the difference according to the weight or not BMI and BIA and correlation between DXA were analyzed in each group. The statistical program for the analysis used SPSS 12.0. Results: The comparison of DXA at 3 which it divides into the low weight and normal and corpulence groups and BIA did not show the difference noted statistically in all groups and the between group comparison was exposed to do not have a meaning. The body percent fat measured by the correlation analysis result DXA at the state that it doesn't divide into the group showed the high correlation (r=0.908, p0.01) noted statistically compared with BMI and showed the high correlation noted statistically in a comparison with BIA (r=0.927, p0.01). Conclusion: It confirmed that the whole body percent fat presumed from the part bone density measurement showed the excel correlation compared with BIA and BMI and information is high. There is still no clear standard about the presumed whole body percent fat and it is difficult to evaluate the fat evaluation by the bone mineral density measurement. However, it is determined that the information offering which is more objective through the comparative study with the body percent fat which is very efficient and in that it can obtain till the information about a fat as well as diagnosis of the osteoporosis through the bone density checkup is measured by the afterward telegraph bone density checkup and is clinically useful is possible.