This study was undertaken to determine .the identify the relation between the high risk mother and their baby which then allows the nurse to assess and plen for the delivery of optimal health care to the high risk groups. This study was carried out between January through December 1978. This study sample consisted of 300 pregnant women who visited Ewha womens hospital during this time. The method used to for the collection of data was an“Antepartum High-risk pregnancy scoring form. The questionair included 4 categories: 1) reproductives history 2) Associated conditions 3) pre-sent pregnancy and 4) total risk score . The bind are as follows: 1. The frequency of high risk pregnancy women 149(49.7%) was highest. 2. In the investigation sample high risk factors were related to hypertension and toremia. 3. There was a difference in the high risk scores and newborn babys scores (r = 0.610). 4. Relationship between high risk pregnancy women and least of pregnant women was highest prenatal mortality. Implications of positive assessing of high risk factors by MCH nurse and community health nurses.
Purpose: The aim of this study was to investigate the relationships among gender, information-seeking styles, and high risk behavior in Korean adults. Methods: A survey utilizing a structured questionnaire was used to examine the relationships of the study variables. Eight hundred fifty six adults were recruited and this group consisted of 403 females and 453 males. Information seeking style and high risk behavior were measured by Miller Behavioral Style Scale revised by Zurren and Wolfs, and High Risk Behaviors checklist developed by Lee, respectively. Results: Differences between gender were significant in information-seeking styles and high risk behavior. Monitoring and blunting scores were both higher in female than male, and high risk behavior was higher in males than females. The blunting style was positively related to high-risk behavior and the monitoring style was negatively related to high risk behavior. Conclusion: To intervene with high risk behavior effectively, individual differences such as gender and information seeking style should be considered. In addition, the research about well-designed health information support is needed in the future.
The main purpose of the study is to identify critical risk factors for development of a family assessment tool to screen high risk family. This study used a conceptual framework of family diagnosis developed by Eui-sook Kim's (1993) and analyzed risk factors to identify the high risk family. As employing a explorative and methodological study design, this study has four stages. 1. In the first stage, 34 family risk factors were identified by doing intensive literature review on conceptual framework of family diagnoses. 2. In the second stage, above risk factors were tested for content validity by consultation with 29 persons in community health nursing, nursing education, family theory, and social work. 3. In the third stage, existing survey data was used for actual application of the identified risk factors. The survey data used for this purpose was previously collected for the community diagnosis in a region of Seoul. At the final stage, through the comparison between high risk and low risk families, initially identified 34 risk factors decreased to 25 risk factors. Among 34 risk factors, six factors did not agree with content of questionnaries sand two factors were not significant in differentiating the high risk family Also, two risk factors showed high correlation between themselves, so only one of those two factors was chosen. As a result, twenty-five risk factors chosen to identify the high risk family are following ; 1. A single parent family due to divorce or death of a partner, or unweded single mother 2. A family with an unrelated household members 3. A family with a working mother with a young child 4. A family with no regular income 5. A family with no rule in family or too strict rules 6. A family with little or no support from other lam-ily members 7. A family with little or no support from friends or relatives 8. A family with little or no time to share with each other 9. A family with family history of hypertension, diabetus, cancer 10. A family with a sick person 11. A family with a mentally ill person 12. A family with a disabled person 13. A family with an alcoholic person 14. A family with a excessive smoker who smokes more than 1 pack / day 15. A family with too much salt intake in their diet. 16. A family with inappropriate management skills for family health 17. A family with high utilization of drug store than hospital to solve the health problems of the family 18. A family with disharmony between husband and wife 19. A family with conflicts among the family members 20. A family with unequal division of labor among family members 21. An authoritative family structure 22. A socially isolated family 23. The location of house is not residential area 24. A family with high risk of accidents 25. The drinking water and sewage systems are not hygienic. The main implication of the results of this study is clinical use. The high risk factors can be used to identify the high risk family effectively and efficiently. The use of high risk factors woule contribute to develop a conceptual framework of family diagnosis in Korea and the list of risk factors need to be revised continuously. Further researches are needed to develop an index of weight of each risk factor and to validate the risk factors.
The purpose of this study was performed to investigate dietary and lifestyle habits, dietary behaviors, and food frequency according to the level of smartphone addiction among 408 university students in Kyungnam province. Statistical analyses were performed using the SPSS software package. Based on using the Smartphone Addiction Poneness Scale, 28.4% were potential-risk smartphone users and while 13.2% were high-risk smartphone users. The levels of depression (P<0.05) and stress (P<0.05) and frequency of snacks (P<0.01) were higher in high-risk and potential-risk groups than in the normal group, and meal frequency was highest in the high-risk group (P<0.01). Percentages of using a smartphone at meal time (P<0.01) and snacking while using a smartphone (P<0.01) were higher in potential-risk and high-risk groups than in the normal group. Percentages of skipping meals (P<0.001) and slow eating speed (P<0.01) due to using a smartphone were higher in high-risk and potential-risk groups than in the normal group, and percentages of taste change (P<0.05) were higher in the high-risk group than in the potential-risk and normal groups. Percentages of exercise reduction (P<0.01), body weight increase (P<0.05), sleep disturbance (P<0.001), and increase in stress (P<0.01) due to using a smartphone were higher in the high-risk group than in the normal group. Scores of dietary behaviors avoiding salty food (P<0.01) and excessive drinking (P<0.001) were higher in the high-risk group than in the normal group. Scores for frequency of oil or nuts (P<0.05) and fatty meats (P<0.01) were highest in the high-risk group. Our results suggest that effective nutrition education programs are needed to solve unhealthy dietary and lifestyle habits from high-risk smartphone users in university students.
The purpose of this study was to evaluate dietary intake according to the risk of coronary heart disease (less than 10% = low-risk group; 10~20% = middle-risk group) based on Framingham risk score (FRS), on 122 male adult subjects. The body weight and body mass index were not significantly different between the groups, while height of the low-risk group was shown to be significantly high compared to that of the middle-risk group. The daily energy intake was shown to be significantly high in the low-risk group with 1,910.88 kcal, compared to 1,606.63 kcal of the middle-risk group. As a result of analyzing nutrient intake per 1,000 kcal of energy, while the low-risk group had significantly high intake of animal protein, fat, and animal fat compared to the middle-risk group, the intake of plant protein, carbohydrate, and plant iron was found to be significantly low. The daily food intake was shown to be significantly high in the low-risk group (1,445.16 g), compared to the middle-risk group (1,075.12 g). The low-risk group was found to have significantly high intake of sugars, eggs, and beverages compared to the middle-risk group, while mushrooms intake was significantly high in the middle-risk group. Dietary variety score (DVS) was significantly high in the low-risk group with 26.42, compared to 22.66 of the middle-risk group. Dietary diversity score (DDS) was indicated to be significantly high in the low-risk group with 3.70, compared to 3.27 of the middle-risk group. The low-risk group was indicated to have significantly high score in DDS of dairy products and fruit group, compared to the middle-risk group. In the correlation between diversity index of food intake (DVS and DDS) and FRS, DDS was shown to have significantly negatively correlation with FRS after adjusting for confounding factors. To sum up these results, the adult males with low-risk of coronary heart disease had more various consumptions of fruits and milk, compared to the subjects with the middle-risk. The proportion of consuming major food groups such as cereals, meat group, milk, fruits, and vegetables more than a fixed quantity was indicated to be high. Accordingly, dietary habit for intake of various food seems to be necessary, to prevent coronary heart disease.
Seo, Myung-Chul;Cho, Hyeon-Suk;Kim, Jun-Hwan;Sang, Wan-Gyu;Shin, Pyeong;Lee, Geon Hwi
Korean Journal of Soil Science and Fertilizer
/
v.50
no.1
/
pp.1-11
/
2017
In order to assess risk of high temperature damages about corn during reproduction stages in the future, we carried out analysis of climate change scenarios RCP (Representative Concentration Pathway) 4.5 and RCP8.5 distributed by KMA (Korea Meteorological Administration) in 2012. We established two indexes such as average of annual risk days of high temperature damage which express frequency and strengthen index of high temperature damage. As results of producing maps for 157 cities and counties about average of annual risk days of high temperature damage during total periods of scenarios, the risk of high temperature in RCP8.5 was evaluated to increase at all over nation except inland area of Gangwon province, while RCP4.5 showed similar to present, or little higher. The maps of annual risk days of high temperature damage with 10 years interval in RCP8.5 prospected that the risk for damaging corn growth would increase rapidly from 2030's. The largest risk of high temperature damage in the future of RCP8.5 was analyzed at Changnyeong county located east-south inland area in Kyeongnam province, while the smallest of risk counties were Pyeongchang, Taebaek, Inje, and Jeongseon. The prospect at 12 counties which is large to produce corn at present and contains large plains have been showed that there will be only a little increase of risk of high temperature at Goesan, Yangpyeong, Hongcheon, Seosan, and Mooju until 2060's. But considering strengthen index of high temperature damage, most regions analyzed would be prospected to increase rapidly after 2030's. To cope with high temperature damage of corn in the future, we should develop various practical technologies including breeding adapted varieties and controlling cultivation periods.
Purpose: This study was done to identify the time interval to pressure ulcer and to determine the optimal time interval for position change depending on pressure ulcer risk in patients using foam mattress in intensive care units. Methods: The Braden scale score, occurrence of pressure ulcers and position change intervals were assessed with 56 patients admitted to an intensive care unit from April to November, 2011. The time to pressure ulcer occurrence by Braden scale risk group was analyzed with Kaplan-Meier survival analysis and log rank test. Then, the optimal time interval for position change was calculated with ROC curve. Results: The median time to pressure ulcer occurrence was 5 hours at mild or moderate risk, 3.5 hours at high risk and 3 hours at very high risk on the Braden scale. The optimal time interval for position change was 3 hours at mild and moderate risk, 2 hours at high and very high risk of Braden scale. Conclusion: When foam mattresses are used a slight extension of the time interval for position change can be considered for the patients with mild or moderate pressure ulcer risk but not for patients with high or very high pressure ulcer risk by Braden scale.
Objectives: The objective of this study was to assess the relationship between internet addiction and health behaviors & mental health among Korean adolescents. Methods: Data from the 2010 Korean Youth Risk Behavior Web-based Survey was analyzed. Using the Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report developed by the Korean National Information Society Agency in 2008, subjects were classified into 3 groups for internet addiction including general user, potential-risk group, and high-risk group. The health behaviors and mental health were compared among the groups for internet addiction by gender. Results: There was significantly higher prevalence of internet addiction including potential-risk group and high-risk group in boys(14.1%) than in girls(8.8%). There were significant odds ratios of perceived stress, perceived depression, perceived health and happiness, and satisfaction of sleeping in both genders at potential-risk group and high-risk group compared to general user for the internet addiction. The odds ratios of smoking at high risk group, alcohol drinking at potential risk group, eating breakfast at high risk group, and moderate physical activity at both risk groups among boys were significant. Among girls at both risk group, the odds ratios of smoking, alcohol drinking, and eating breakfast were significant. Conclusions: This study reveals a significant association among internet addiction, and health behaviors, and mental health in Korean adolescents.
Purpose: This study was conducted to identify factors associated with high-risk drinking in Korean men. Methods: This study was a secondary analysis using data from the Korea National Health and Nutrition Examination Survey (KNHANES VIII-2), 2020. Data were downloaded from the KNHANES website. The subjects of this study were 1,653 alcohol-drinking men between 19 and 64 years of age. Data were analyzed using the Rao-Scott chi-square test and complex sample logistic regression statistics. Results: The high-risk drinking rate among alcohol-drinking men was 27.1%. High-risk drinking was more common in men who smoked (odds ratio [OR] = 2.11, p < .001), men with a middle school education or lower (OR = 1.91, p = .016), men who lived with a spouse (OR = 1.61, p = .025), men who slept less than 6 hours on weekends (OR = 1.51, p = .016), and men who perceived stress (OR = 1.30, p = .044), while it was lower in men who were underweight (OR = 0.19, p = .006). Conclusion: To reduce the rate of high-risk drinking, it is necessary to provide an intervention that considers factors associated with high-risk drinking among men. In particular, smoking was the most important factor associated with high-risk drinking, implying that the integrated management of drinking and smoking is necessary to reduce high-risk drinking.
Kim, Ki-Dong;Kim, Jin-Ju;Kim, Sun-Mie;No, Jae-Hong;Kim, Yong-Beom
Asian Pacific Journal of Cancer Prevention
/
v.13
no.1
/
pp.269-273
/
2012
We aimed to estimate the prevalence of high-risk human papillomavirus (HPV) infections in women of high socioeconomic status (SES) in Seoul, Republic of Korea and to identify risk factors. This study included 13,386 women visiting a prestigious healthcare center located in Seoul between 2003 and 2008. High-risk HPV infections were detected in 994 (7%) and the age-standardized prevalence was 8%. Abnormal Pap smear results ${\geq}$ atypical squamous cells of unknown significance (ASCUS) were observed in 280 of 12,080 women (2%). Based on univariate analysis, age, level of education and number of children were associated with high-risk HPV infections. Based on multivariate analysis, age and high-risk HPV infections had an inverse relationship. In women with high SES in Seoul, the prevalence of high-risk HPV infection was 7% and the age-standardized prevalence was 8%. Age was a strong determinant of high-risk HPV infection.
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