• Journal of Nutrition and Health
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• v.40 no.6
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• pp.509-516
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• 2007

The purpose of this study was to investigate the impact DM duration on cardiovascular disease risk factors in Korean Type 2 diabetes mellitus patients. The subject were 250 (male: 134, female: 118) Korean Type 2 DM patients recruited from a general hospital's DM clinic. Anthropometric and hematological variables and dietary intake were assessed. The subject's mean age was 60.2 years and duration of diabetes was 9.5 years. As far as DM duration was concerned, male subjects with long duration (${\geq}$ 5 years and longer) showed significantly lower weight, fat free mass, skeletal muscle mass, BMI (p < 0.05) and higher 2hrs-postprandial plasma glucose (p < 0.05) and concentration of Hemoglobin A1c (p < 0.01) compared to those with less 5years of duration. In female subjects, same trend was found. Female subjects with long duration (${\geq}$ 5 years and longer) showed significantly higher fat free mass (p < 0.05) and skeletal muscle mass (p < 0.05), Hemoglobin A1c (p < 0.01), HDL-cholesterol (p < 0.01) and triglyceride (p < 0.05), dietary intakes of protein (p < 0.05) and fat (p < 0.05) compared to those with less 5years of duration. In conclusion, Type II DM patients of long duration had higher blood lipid concentrations and higher carbohydrates intakes. Subjects followed diet prescription strictly showed lower blood lipid concentration, suggesting the effectiveness of diet to manage Type 2 DM patients.

• Nutrition Research and Practice
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• v.12 no.1
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• pp.69-77
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• 2018

BACKGROUND/OBJECTIVES: Metabolic risk factors should be managed effectively in patients with type 2 diabetes mellitus (T2DM) to prevent or delay diabetic complications. This study aimed to compare the self-management levels of diet and metabolic risk factors in patients with T2DM, according to the duration of illness, and to examine the trends in self-management levels during the recent decades. SUBJECTS/METHODS: Data were collected from the Korea National Health and Nutrition Examination Surveys (KNHANES, 1998-2014). In our analysis, 4,148 patients with T2DM, aged ${\geq}30years$, were categorized according to the duration of their illness (< 5 years, 5-9 years, and ${\geq}10years$). Demographic and lifestyle information was assessed through self-administered questionnaires, and biomarker levels (e.g., fasting glucose level, blood pressure, or lipid level) were obtained from a health examination. Dietary intake was assessed by a 24-recall, and adherence level to dietary guidelines (meal patterns and intake levels of calories, carbohydrates, vegetable/seaweed, sodium, and alcohol) were assessed. Multivariable generalized linear regression and unconditional logistic regression models were used to compare the prevalence rates of hyperglycemia, dyslipidemia, and hypertension according to the duration of patients' illness, accounting for the complex survey design of the KNHANES. RESULTS: In the multivariable adjusted models, patients with a longer duration (${\geq}10years$) of T2DM had a higher prevalence of hyperglycemia than those with a shorter duration of T2DM (< 5 years) (odds ratio 2.20, 95% confidence interval 1.61-3.01, P for trend < 0.001). We did not observe any associations of disease duration with the prevalence of hypertension and dyslipidemia. In addition, the adherence levels to dietary recommendations did not significantly differ according to disease duration, except adherence to moderate alcohol consumption. There were significant decreasing trends in the prevalence of hyperglycemia in patients with a duration of illness ${\geq}10years$ (P for trend = 0.004). CONCLUSION: Although the proportion of patients with adequate control of glucose levels has improved in recent decades, poorer self-management has been found in those with a longer disease duration. These findings suggest the need for well-planned and individualized patient education programs to improve self-management levels and quality of life by preventing or delaying diabetic complications.

• Journal of The Korean Society of Agricultural Engineers
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• v.58 no.3
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• pp.57-69
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• 2016

In this study, we analyzed the extreme rainfall distribution scenarios based on probable rainfall calculation and applying various time distribution models over the landslide high risk zones in urban areas. We used observed rainfall data form total 71 ASOS (Automated Synoptic Observing System) station and AWS (Automatic Weather Station) in KMA (Korea Meteorological Administration), and we analyzed the linear trends for 1-hr and 24-hr annual maximum rainfall series using simple linear regression method, which are identified their increasing trends with slopes of 0.035 and 0.660 during 1961-2014, respectively. The Gumbel distribution was applied to obtain the return period and probability precipitation for each duration. The IDF (Intensity-Duration-Frequency) curves for landslide high risk zones were derived by applying integrated probability precipitation intensity equation. Results from IDF analysis indicate that the probability precipitation varies from 31.4~38.3 % for 1 hr duration, and 33.0~47.9 % for 24 hr duration. It also showed different results for each area. The $Huff-4^{th}$ Quartile method as well as Mononobe distribution were selected as the rainfall distribution scenarios of landslide high risk zones. The results of this study can be used to provide boundary conditions for slope collapse analysis, to analyze sediment disaster risk, and to use as input data for risk prediction of debris flow.

• Diabetes and Metabolism Journal
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• v.42 no.6
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• pp.538-543
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• 2018

Globally, diabetic retinopathy (DR) is one of the leading causes of blindness, that diminishes quality of life. This study aimed to describe the prevalence of DR, and its associated risk factors. This cross-sectional study was carried out among 478 diabetic patients in a referral center in Fars province, Iran. The mean${\pm}$standard deviation age of the participants was $56.64{\pm}12.45$ years old and DR prevalence was 32.8%. In multivariable analysis, lower education levels (adjusted odds ratio [aOR], 0.43; 95% confidence interval [CI], 0.24 to 0.76), being overweight (aOR, 1.70; 95% CI, 1.02 to 2.83) or obese (aOR, 1.88; 95% CI, 1.09 to 3.26), diabetes duration of 10 to 20 years (aOR, 2.35; 95% CI, 1.48 to 3.73) and over 20 years (aOR, 5.63; 95% CI, 2.97 to 10.68), receiving insulin (aOR, 1.99; 95% CI, 1.27 to 3.10), and having chronic diseases (aOR, 1.71; 95% CI, 1.02 to 2.85) were significantly associated with DR. In conclusion, longer diabetes duration and obesity or having chronic diseases are strongly associated with DR suggesting that control of these risk factors may reduce both the prevalence and impact of retinopathy in Iran.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.2
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• pp.151-161
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• 2014

Purpose: The purpose of this study was to identify the risk factors that influence surgical site infections after surgery. Methods: This study was a retrospective research utilizing Electronic Medical Records. Data collection targeted 4,510 adult patients who had 8 different kinds of surgery (gastric surgery, colon surgery, laparoscopic cholecystectomy, hip & knee replacement, hysterectomy, cesarean section, cardiac surgery) in 4 medical care departments, at one general hospital between January 2006 and December 2011. Multivariate logistic regression analyses were used to identify the risk factors affecting surgical site infections after surgery. Results: Risk factors for increased surgical site infection following surgery were confirmed to be age (OR=1.59, p<.001), BMI (Body Mass Index)(OR=1.25, p=.034), year of operation (OR=2.45, p<.001), length of operation (OR=3.06, p<.001), ASA (American Society of Anesthesiology) score (OR=1.36, p=.025), classification of antibiotic used (OR=2.77, p<.001), duration of the prophylactic antibiotics use (OR=1.85, p<.001), and interaction between classification of antibiotic used and duration of the prophylactic antibiotics use (OR=1.90, p=.016). Conclusions: Results suggest that risk factors affecting surgical site infections should be monitored before surgery. The results of this study should contribute to establishing effective infection management measures and implementing surveillance systems for patients who have actual risk factors.

• Journal of Preventive Medicine and Public Health
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• v.46 no.5
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• pp.271-281
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• 2013

Objectives: Emerging evidence indicates that sleep duration is associated with health outcomes. However, the relationship of sleep duration with long-term health is unclear. This study was designed to determine the relationship of sleep duration with mortality as a parameter for long-term health in a large prospective cohort study in Korea. Methods: The study population included 13 164 participants aged over 20 years from the Korean Multi-center Cancer Cohort study. Information on sleep duration was obtained through a structured questionnaire interview. The hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality were estimated using a Cox regression model. The non-linear relationship between sleep duration and mortality was examined non-parametrically using restricted cubic splines. Results: The HRs for all-cause mortality showed a U-shape, with the lowest point at sleep duration of 7 to 8 hours. There was an increased risk of death among persons with sleep duration of ${\leq}5$ hours (HR, 1.21; 95% CI, 1.03 to 1.41) and of ${\geq}10$ hours (HR, 1.36; 95% CI, 1.07 to 1.72). In stratified analysis, this relationship of HR was seen in women and in participants aged ${\geq}60$ years. Risk of cardiovascular disease-specific mortality was associated with a sleep duration of ${\leq}5$ hours (HR, 1.40; 95% CI, 1.02 to 1.93). Risk of death from respiratory disease was associated with sleep duration at both extremes (${\leq}5$ and ${\geq}10$ hours). Conclusions: Sleep durations of 7 to 8 hours may be recommended to the public for a general healthy lifestyle in Korea.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.12
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• pp.4829-4837
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• 2014

The present systematic review and meta-analysis was conducted to assess any association between breastfeeding and the risk of ovarian cancer. A systematic search of published studies was performed in PUBMED and EMBASE and by reviewing reference lists from retrieved articles through March 2013. Data extraction was conducted independently by two authors. Pooled relative risk ratios were calculated using random-effect models. Totals of 5 cohort studies and 35 case-control studies including 17,139 women with ovarian cancer showed a 30% reduced risk of ovarian cancer when comparing the women who had breastfed with those who had never breastfed (pooled RR = 0.70, 95% CI: 0.64-0.76; p = 0.00), with significant heterogeneity in the studies (p = 0.00; I2 = 76.29%). A significant decreasd in risk of epithelial ovarian cancer was also observed (pooled RR = 0.68, 95% CI: 0.61-0.76). When the participants were restricted to only parous women, there was a slightly attenuated but still significant risk reduction of ovarian cancer (pooled RR = 0.76, 95% CI: 0.69-0.83). For total breastfeeding duration, the pooled RRs in the < 6 months, 6-12 months and > 12 months of breastfeeding subgroups were 0.85 (95% CI: 0.77-0.93), 0.73 (95% CI: 0.65-0.82) and 0.64 (95%CI: 0.56-0.73), respectively. Meta-regression of total breastfeeding duration indicated an increasing linear trend of risk reduction of ovarian cancer with the increasing total breastfeeding duration (p = 0.00). Breastfeeding was inversely associated with the risk of ovarian cancer, especially long-term breastfeeding duration that demonstrated a stronger protective effect.

• Fire Science and Engineering
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• v.10 no.2
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• pp.20-27
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• 1996

This paper discussed the limit of existing safety controls where the use of land around hazardous industry. There is a gap between engineering evaluation of acceptable criteria for loss reduction and risk exposure to the areas of high risk outside plants from the aspects of risk perception. The paper performed how land use safety could be designed between the density of uses with the duration of risk exposure by type of land use. It concluded the needs of multi-dimensional presentation for an appropriate risk controls on existing and future land use safety.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.461-470
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• 2019

In diabetes mellitus, renal disease is a common complication, characterized by increased urinary albumin excretion and reduced eGFR. According to KDIGO CKD stage classification, Korean characteristics were analyzed according to urinary albumin and eGFR using the National Health and Nutrition Examination Survey VI raw data. According to KDIGO classification, diabetic patients were classified as Low risk 72.0%, Moderate risk 19.3%, High risk 5.6% and Very high risk 3.0%. Low risk decreased from 74.7% to 52.2%, and moderate to very high risk increased from 25.4% to 47.8% as the duration of diabetes mellitus was prolonged. The risk factors were CKD stage 1 (HR 2.064) to stage 4 (HR 11.049), the highest risk of hypertension. The incidence of renal disease was elevated according to duration of hypertension and HR 0.42 of kidney disease was decreased in the group maintaining proper blood pressure. In the hypertensive patients, the group administered with target blood pressure had a reduction of the kidney disease by 42% than the group with the hypertension. Therefore, controlling and managing hypertension to target blood pressure is important for the prevention of kidney disease.

• Physical Therapy Korea
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• v.28 no.3
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• pp.177-185
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• 2021

Background: Muscle undergoes change continuously with aging. Sarcopenia, in which muscle mass decrease with aging, is associated with various diseases, the risk of falling, and the deterioration of quality of life. Obesity and sarcopenia also have a synergy effect on the disease of the older adults. Objects: This study examined the risk factors for sarcopenia, sarcopenic obesity, and sarcopenia without obesity and developed prediction models. Methods: This machine-learning study used the 2008-2011 Korea National Health and Nutrition Examination Surveys in the analysis. After data curation, 5,563 older participants were selected, of whom 1,169 had sarcopenia, 538 had sarcopenic obesity, and 631 had sarcopenia without obesity; the remaining 4,394 were normal. Decision tree and random forest models were used to identify risk factors. Results: The risk factors for sarcopenia chosen by both methods were body mass index (BMI) and duration of moderate physical activity; those for sarcopenic obesity were sex, BMI, and duration of moderate physical activity; and those for sarcopenia without obesity were BMI and sex. The areas under the receiver operating characteristic curves of all prediction models exceeded 0.75. BMI could predict sarcopenia-related disease. Conclusion: Risk factors for sarcopenia-related diseases should be identified and programs for sarcopenia-related disease prevention should be developed. Data-mining research using population data should be conducted to enhance the effectiveness of early treatment for people with sarcopenia-related diseases through predictive models.