Gastric cancer has been consistently decreasing worldwide, whereas cardia gastric cancer is on the rise. This indicates that the exposure rates to epidemiological causes are changing. In this study, we aim to review the risk factors for gastric cancer with respect to cardia and non-cardia types. One of the most significant risk factors for gastric cancer is Helicobacter pylori infection. H. pylori infection is known as a risk factor for non-cardia gastric cancer, and there have been results indicating that H. pylori infection is not associated with cardia gastric cancer. However, in the East Asian region, there is epidemiological evidence suggesting that H. pylori infection might be a risk factor for cardia gastric cancer. Smoking and alcohol consumption are known risk factors for gastric cancer, regardless of anatomical location. Obesity is considered a factor in the development of cardia gastric cancer. However, further research is needed to understand the specific relationship with non-cardia gastric cancer. The consumption of high-salt and processed meat is more distinctly associated with noncardia gastric cancer than in cardia gastric cancer. In addition to these factors, exposure to chemicals and radiation are considered risk factors for gastric cancer. Primary prevention of gastric cancer involves eliminating or avoiding risk factors such as H. pylori eradication and adopting a healthy lifestyle, including quitting smoking, reducing alcohol consumption, maintaining a healthy weight, and having a low-salt diet.
Purpose: The purposes of this study were in understanding maternal and neonatal risk factors for postpartum depression using Edinburgh Postnatal Depression Scale(EPDS). Methods: Among 788 women, who had delivery include cesarean section in the department of obstetrics and gynecology at OO medical center from May 28th 2008 to October 6st 2009, 72 women filled out EPDS questionnaire sheets. Additional aspects included for the analysis are maternal factors including age, number of children, parity, delivery method, and hemoglobin; and neonatal factors such as weight, sex, gestational age, apgar score, and neonatal intensive care unit admission. Comparison was performed between the women with EPDS score equal or less than 8 and the women with EPDS score equal to or higher than 9 using statistical methods of student t-test for linear variables and chi-square test for non-linear variables. SPSS version 13.0 for windows was used for analysis. Results: Thirty women(41.7%) were included in the postpartum depression risk group (EPDS score ${\geqq}9$). Statistically significant difference(P<0.05) was found in gestational ages of the risk group($36.57{\pm}29.6$ weeks) and the non-risk group ($38.10{\pm}1.97$ weeks). Identified statistically significant risk factors(P<0.05) include cesarean section (OR=3.304 [1.121-9.744]), low birth weight infant(OR =6.500 [1.606-26.314]), preterm delivery(OR=2.857[1.071-7.621]), low apgar score (1minute) after delivery (OR=14.909 [1.750-127.025]). There was no statistically significant difference in maternal age, number of children, parity, hemoglobin, neonatal sex, apgar score (5minutes), NICU admission. Conclusions: Through the results showed, gestational age, delivery method, neonatal weight, apgar score(1minute) were identified as risk factors for postpartum depression. To prevent or minimize postpartum depression, oriental medical intervention is recommended for pregnant women through early detection.
It is important to identify modifiable risk factors for breast cancer, because the breast cancer is one of the major causs of mortality among women. Some reported that obesity is a risk factor for breast cancer, but the results are not constant. Many risk factors are related to the duration of estrogenic stimulation of the breast. In general, early menarche and late menopause are positive risk factors. Human breast cancer has different characteristics according to the status of menopause(premenopause and postmenopause). In premenopausal women, about 60% of circulating estrogen is from the ovaries in the form of estradiol, and the remaining 40% is estrogen formed primarily in the adipose(fat) tissue via aromatization of androstenedion from the adrenal glands. After menopause this adipose cell production of estrone is the main source of estrogens and the level of estrone is maintained approximately at premenopausal levels. This study was undertaken to determine the role of body size and body mass index by status of menopause in development of breast cancer using retrospective case/control study. From March 1991 to February 1997 at the Wonkwang University Hospital, the breast cancer cases(n=72) and controls(n=86) were selected. By statistical analysis method, regression analysis, paired T-test and multiple logistic regression were done to estimate the influenced factors same as height, weight, BMI, age at menarche and age at menopause. The following results were obtained : 1. In premenopausal women, age at menarche was showed comparatively high correlation coefficients and BMI was described prominently highly in postmenopause. 2. At the results of multiple regression analysis, age at monarch, BMI and weight were showed as significant variables. In this method, critical factor ($R^2$) was 0.054. 3. Paired samples T-test was undertaken to test mean difference between two groups of cases and controls. The result of test performance showed a significant difference. 4. In comparison with women whose weight less than 50 kg, the ORs for the upper 5th group was 1.82(95% confidence interval). The heaviest women had a higher risk(OR=1.14, 95% confidence interval $1.12{\sim}1.31$, p=0.005). Higher body mass index was significantly associated with increased risk of premenopausal breast cancer (OR=1.01, 95% confidence interval $1.08{\sim}l.18$, p=0.05).
Objectives: The present study was undertaken to study the maternal risk factors for preterm birth (PTB) and low birth weight (LBW) with a special emphasis on assessing the proportions of maternal genitourinary and periodontal infections among Indian women and their association with adverse pregnancy outcomes. Methods: A hospital-based prospective study comprising 790 pregnant women visiting the obstetrics clinic for a routine antenatal check-up was undertaken. Once recruited, all study participants underwent clinical and microbiological investigations for genitourinary infections followed by a dental check-up for the presence of periodontitis. The study participants were followed up until their delivery to record the pregnancy outcomes. Infectious and non-infectious risk factors for PTB and LBW were assessed using univariate and multivariate Cox regression analysis. Independent risk factors for PTB and LBW were reported in terms of adjusted relative risk (ARR) with the 95% confidence interval (CI). Results: Rates of PTB and LBW in the study population were 7.6% and 11.4%, respectively. Previous preterm delivery (ARR, 5.37; 95% CI, 1.5 to 19.1), periodontitis (ARR, 2.39; 95% CI, 1.1 to 4.9), Oligohydramnios (ARR, 5.23; 95% CI, 2.4 to 11.5), presence of Nugent's intermediate vaginal flora (ARR, 2.75; 95% CI, 1.4 to 5.1), gestational diabetes mellitus (ARR, 2.91; 95% CI, 1.0 to 8.3), and maternal height <1.50 m (ARR, 2.21; 95% CI, 1.1 to 4.1) were risk factors for PTB, while periodontitis (ARR, 3.38; 95% CI, 1.6 to 6.9), gestational hypertension (ARR, 3.70; 95% CI, 1.3 to 10.8), maternal height <1.50 m (ARR, 2.66; 95% CI, 1.3 to 5.1) and genital infection during later stages of pregnancy (ARR, 2.79; 95% CI, 1.2 to 6.1) were independent risk factors for LBW. Conclusions: Our study findings underscore the need to consider screening for potential genitourinary and periodontal infections during routine antenatal care in developing countries.
The landslide risk assessment process consists of hazard risk assessment and vulnerability analysis. landslide hazard risk is location dependent. Therefore, maps and spatial technologies such as GIS are very important components of the risk assessment process. This paper discusses the advantages of using GIS technology in the risk assessment process and illustrates the benefits through case studies of live projects undertaken. The goal of this study is to generate a map of landslide vulnerability map by analysis of static natural factors with GIS. A simple and efficient algorithm is proposed to generate a landslide potentialities map from DEM and existing maps. The categories of controlling factors for landslides, aspect of slope, soil, vegetation are defined. The weight values for landslide potentialities are calculated from AHP method. Slope and slope-direction are extracted from DEM, and soil informations are extracted from digital soil map. Also, vegetation informations are extracted from digital vegetation map. Finally, as overlaying, landslide potentialities map is made out, and it is verified with landslide place.
This paper proposes an Fuzzy-based Risk Reasoning Driving Strategy on VANET. Its first reasoning phase consists of a WC_risk reasoning that reasons the risk by using limited road factors such as current weather, density, accident, and construction, a DR_risk reasoning that reasons the risk by combining the driving resistance with the weight value suitable for the environment of highways and national roads, a DS_risk reasoning that judges the collision risk by using the travel direction, speed. and distance of vehicles and pedestrians, and a Total_risk reasoning that computes a final risk by using the three above-mentioned reasoning. Its second speed reduction proposal phase decides the reduction ratio according to the result of Total_risk and the reduction ratio by comparing the regulation speed of road to current vehicle's speed. Its third risk notification phase works in case current driving speed exceeds regulation speed or in case the Total_risk is higher than AV(Average Value). The Risk Notification Phase informs rear vehicles or pedestrians around of a risk according to drivers's response. If drivers use a brake according to the proposed speed reduction, the precedent vehicles transfers Risk Notification Messages to rear vehicles. If they don't use a brake, a current driving vehicle transfers a Risk Message to pedestrians. Therefore, this paper not only prevents collision accident beforehand by reasoning the risk happening to pedestrians and vehicles but also decreases the loss of various resources by reducing traffic jam.
Korean Journal of Construction Engineering and Management
/
v.5
no.2
s.18
/
pp.136-143
/
2004
This study presents a risk management methodology using fuzzy theory for early construction stage and is focused on risk identification and risk analysis. This study identifies various risk factors associated with activities clearly construction stage, then establishes the Risk Breakdown Structure(RBS) by classifying the risks into the three groups; Common risks, risks for Earth works, and risks for Foundation works. The risk analysis method presented in this study is based on the RBS that has two levels such as upper level and lower level. The risk exposure of lower level risk factors is assessed by fuzzy inference. The weight of risks is estimated by fuzzy measure. Then, the estimated risk exposures and weights are aggregated to assess the risk exposure of upper level risks by Choquet fuzzy integral. The risk exposure of upper level risks determine the priority of risk factors in view of risk management. This study performs case study to validate the proposed method. The result of case study shows that the methodology suggested in this thesis would be utilized well in evaluating risk exposure.
Purpose : The purpose of this study was to investigated the dietary habits of students in order to identify risk groups according to their Body Mass Index (BMI), and to compare the eating behavior of students in the normal range (19${\le}$24) and those in risk groups (BMI${\le}$19, 24${\le}$27, BMI>27). Method : 1176 elementary school students, 850 middle school students and 672 high school students in Wonju City, were the participants The instrument for this study was a structured questionnaire that included demographic data as well as dietary habits, and the eating behavior instrument developed by Stunkard & Messick(1985) and revised by Kim & Kim (1997). Result : 1) As students moved up ingrade level their dietary habits became more irregular and the degree that students chewed food was reduced 2) As students moved up in grade level, a greater number of the student did not eat breakfast. The reasons given were that there were not enough time before classes started(40.4%) and a lack of appetite in the morning(10.6%) in high school students. 3) As for supper, from 67.8 to 81.9% of subjects reported having regular supper. However the rest of the subjects did not eat supper because of anorexia and fear of weight gain. 4) The results identified risk groups according to their BMI showed that for elementary school students, 55.9% were in the low weight group, 5.5% in the overweight group, and 0.9% in the obese group. For middle and high school students, 40.6% and 35.5% respectively were in the low weight group, 7.4% and 6.3% in the overweight group, and 4.1% and 2.5% the obese group. 5) Comparisons of the eating behavior of students in the normal weight group with that of those in the three risk groups showed that there significant differences in 'hunger' and cognitive restraint of eating' in elementary school students, and significant differences in 'cognitive restraint of eating' in middle and high school students. Conclusion : The results of this study show that management of diet in school health should be addressed from both the aspect of lack of nutrition and that of excess nutrition. In other words, good diet is as important for students in the low weight group as it is for those in the overweight and obese groups. The establishment of good dietary habits and eating behavior in students, by nurses and dieticians should be done by providing repeated diet education and involvement in diet counseling.
Knowing the accurate GA is critical in nursing care of high-risk newborns. A descriptive study was performed to examine the reliability and clinical applicability of the new Ballard examination (NBE) in high-risk infants. Method: A NBE was performed to measure GA by assessing the neuromuscular and physical maturity in the course of physical examination of a convenient sample of 50 high-risk infants. Results: 1) There was a highly correlation between both the GA by LMP (GA-LMP) and GA by NBE (GA-NBE) (r = .894, p = .000) 2) There was a greater positive relationship in neuromuscular maturity than physical maturity in the GA-NBE of the high-risk newborn (r = .657 versus r = .915, p <. 05). 3) The high-risk infants were thoes with congenital anomalies, prematurity, and RDS(Respiratory Distress Syndrome). Male infants showed a higher neuromuscular maturity, compared to female infants. 4) There was a positive correlation between neuromuscular, physical, total maturity, GA-LMP and GA-NBE in the birth weight, 1 minute Apgar score. Conclusion: The study supports the reliability an clinical relevance of NBE in assessment of the accurate GA in high-risk infants.
This study was carried out to compare bone density risk factors affecting women's BMD, and to examine the relationship age, lifestyle and dietary habits for bone health by physical measurement and questionnaires. The subjects of this study were 194 women living in the Seoul area. When the subjects were divided into normal and risk groups, BMD, height, weight, BMI, total body water, soft lean mass, fat free mass, protein, mineral, body-fat of normal group were much higher than those of the risk group. The breakfast eating rate of the normal group was much higher than that of the risk group, walking time was significantly longer and exercise was more (p < 0.05). The normal group had more frequent intakes of tunas, squid, radishes, the green parts of radish, cucumbers, carrots and Iucchinis, tomatoes, and grapes than the risk group (p < 0.01 or p < 0.05). In conclusion, breakfast eating, exercise, intakes of some foods such as anchovies, radishes, carrots, zucchinis and tomatoes were significantly important factor to prevent bone density risk.
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