The purpose of this study was to examine the relationship among variables which are categorized by two groups : the first group consists of obesity, serum lipids, and blood pressure which were measured by physical index or physiological index, and the second group consists of demographic variables and variables related to lifestyle that is known to influence the first group. The canonical correlation analysis was conducted with the data collected from 400 male clients who visited one university hospital located in Inchon in a period, from May 1996 to December 1996, for physical examination. According to the results, blood pressure and HDL of the first group were shown to have strong relationship with age, alcohol, smoking, exercise of the second group. And total cholesterol, triglyceride, systolic, BMI of the first group were shown to have strong relationship with income status, education, exercise of the second group. And all of the serum lipids (total cholesterol, triglyceride, HDL), BMI, and diastolic were shown to have relationship with education, smoking, alcohol. It should be noted that fat rate, which was one of the indices for obesity, was not significant in any of the canonical variates. From the comparative study results on which combination of indices of obesity, serum lipids and blood pressure was related to either alcohol or smoking more, it can be seem that smoking was more highly related to two blood pressure indices such as systolic and diastolic, and that alcohol was highly related to serum lipid indices such as HDL, total cholesterol, triglyceride. Also investigation on what differences exist between the combination of variables showing high relationship to systolic and the combination of variables showing high relationship to diastolic was conducted. Systolic turned out to have relationship with total cholesterol, triglyceride, obesity (fat rate), income status, education, exercise. And diastolic was related to HDL-c, total cholesterol, tryglyceride, obesity (BMI), education, smoking, alcohol. From this results, it could be seen that the combination of variables which have high relationship to systolic and diastolic have different patterns. Lastly, the investigation on what relationships exist between serum lipids and demographic variables/lifestyle variables was conducted. It turned out that HDL-c had high relationship with age, education, income status, alcohol, and that all of serum lipids (total cholesterol, triglyceride, HDL) were shown to have high relationship with income status, education, age, exercise. From these results, it could be seen that the demographic variables were more influential both on HDL and on all of serum lipids than lifestyle variables were.
Arteriosclerosis* ; Blood Pressure ; Cholesterol ; Education ; Humans ; Incheon ; Life Style ; Male ; Obesity ; Physical Examination ; Risk Factors* ; Smoke ; Smoking ; Triglycerides

The purpose of this study is to define requisite content of physiology for nursing education. This study classifies the subjects of physiology into 15 areas. The areas are cell and cell membrane, body fluid, nervous system, special sense, muscular system, blood, cardiovascular system, respiratory system, urinary system, digestive system. energy metabolism, body temperature, immune system. endocrine system, and reproductive system. Each subject area is further classified into subarea, resulting in a total of 194 subarea. The importance of each subarea is measured with a 3-point scale using a questionnaire. The subjects of this study were full-time professors teaching nursing in Korean universities. The analysis of the data collected from 68 respondents is as follows. 1. The areas of physiology necessary for nursing education in the order of importance are : body fluid, blood, endocrine, immune system, body temperature, urinary system, respiratory system, digestive system, reproductive system, energy metabolism, nervous system, cardiovascular system, cell and cell membrane, muscular system, and special sense. 2. Depending on the specific areas of nursing(such as pediatric nursing, maternity nursing), the importance of each physiology area may differ. For instance, the most important area for maternity nursing is reproductive physiology, whereas one for the psychiatric nursing is neurophysiology. 3. The importance of each physiology area does not determine the importance of its subarea. For example, while the importance of cell and cell membrane was relatively very low across the respondents from different areas of nursing science, the importance of such subarea as osmosis, diffusion, and filtration reported by most respondents were high.
Body Fluids ; Body Temperature ; Cardiovascular System ; Cell Membrane ; Surveys and Questionnaires ; Diffusion ; Digestive System ; Education, Nursing* ; Endocrine System ; Energy Metabolism ; Filtration ; Immune System ; Infant, Newborn ; Maternal-Child Nursing ; Nervous System ; Neurophysiology ; Nursing* ; Osmosis ; Pediatric Nursing ; Physiology* ; Pregnancy ; Psychiatric Nursing ; Respiratory System

PURPOSE: This study was conducted to identify comprehensive predictors of fatigue in cancer patients. METHODS: One hundred ten cancer patients visiting in-patient or out-patient clinics of a university hospital located in Incheon participated in this study. RESULTS: The hematologic indicators (WBC and Hemoglobin) were significant for explaining fatigue. The psychological factors of fatigue were statistically significant. Both anxiety and depression, included as psychological factors, were significant in explaining fatigue in cancer patients. The influence of physical factors on fatigue was also statistically significant. Among the variables included as physical factors, pain, nausea/vomiting/anorexia, and sleep disturbance were significant whereas, dyspnea was not significant. The influence of the daily activity factor on fatigue was statistically significant. Among the variables included as daily activity factors, regular exercise or not and the usual activity level were significant in explaining fatigue of cancer patients, while the level of rest was not statistically significant. CONCLUSIONS: From the study results fatigue of cancer patients appeared to be influenced by multidimensional factors, such as physiological, physical, psychological, and activity related factors.
Activities of Daily Living ; Adaptation, Physiological ; Adult ; Aged ; Fatigue/etiology/*nursing ; Female ; Health Status ; Humans ; Male ; Middle Aged ; Models, Nursing ; Multivariate Analysis ; Neoplasms/complications/*nursing ; Sick Role ; Sickness Impact Profile

PURPOSE: This study was conducted to identify the personality type, problematic drinking pattern, and stress coping style of the nasal bone fracture patients by comparing those with general fracture patients. METHODS: 50 nasal bone fracture patients due to violence and 50 general fracture patients due to simple trauma, such as fall and traffic accident were conveniently selected. RESULTS: The study results showed that nasal bone fracture patients due to violence significantly presented higher level of A type personality and more problematic drinking pattern than general fracture patients due to simple trauma. Stress coping style, however, did not show significant difference between two groups. CONCLUSION: In order to prepare prevention strategies for basal bone fracture in the future, health education alter problematic drinking habit to sound drinking pattern may be offered and provided nursing interventions tailored to A type personality.
Accidents, Traffic ; Adaptation, Psychological ; Drinking ; Fractures, Bone ; Health Education ; Humans ; Nasal Bone ; Type A Personality ; Violence

This study was performed to clarify the overall inter-relationships between the arteriosclerotic risk factors, including smoking, alcoholic consumption, obesity, serum cholesterol and triglyceride levels, high density lipoprotein, and systolic and diastolic blood pressure using a meta analysis method. The subjects of this study were included in 24 primary studies reported in Korea since 1980, which concerned arteriosclerotic risk factors. The results show that smoking is significantly associated with total cholesterol (R = .04), triglyceride (R = .10) and HDL-cholesterol (R = -.06). Alcohol consumption is also significantly and positively associated with all three serum lipid parameters: cholesterol (R = .04), triglyceride (R = .08) and HDL-cholesterol (R = .10). The effect of smoking and alcohol consumption on cholesterol levels were found to be almost equal. However, smoking has a predominant effect on triglyceride, whereas, alcohol consumption exerts an influence primarily on the HDL-cholesterol level. Obesity was positively correlated with cholesterol (R = .25) and triglyceride (R = .21), however, it was negatively correlated with HDL-cholesterol (R = -.14). It appears that the serum lipid parameter, which shows strongest correlation with obesity, is the total cholesterol level. Obesity also showed a significant correlation with systolic (R = .19) and diastolic blood pressure (R = .13). Blood pressure was also positively correlated with cholesterol (R = .18) and triglyceride (R = .26), however, it correlated negatively with HDL-cholesterol (R = -.23). In conclusion, the overall inter-relationships between the arteriosclerotic risk factors; smoking, alcohol consumption, obesity, serum lipid level and blood pressure were all found to be significant.
Arteriosclerosis/etiology* ; Blood Pressure ; Ethanol/adverse effects ; Human ; Lipids/blood ; Lipoproteins, HDL Cholesterol/blood ; Obesity/complications ; Risk Factors ; Smoking/adverse effects

The purpose of this study was evaluate the usefulness of variables which were known to be related to blood pressure for discriminating between hypertensive and normotensive groups. Variables able such as smoking, alcohol, exercise, and stress, and demographic variables such as age, economical status, and education. The data were collected from 400 male clients who visited one university hospital located in Incheon, Republic of Korea, from May 1996 to December 1996 for a regular physical examination. Variables which showed significance for discriminating systolic blood pressure in this study were age, serum lipids, education, HDL, exercise, total smoking(in order of significance). By using the combination of these variables, the possibility of proper prediction for a high-systolic pressure group was 2%, predicting a normal-systolic pressure group was 70.3%, and total Hit Ratio was 70%. Variables which showed significance for discriminating diastolic blood pressure were exercise, triglyceride, alcohol, smoking, economical status, age and BMI(in order of significance). By using the combination of these variables, the possibility of proper prediction for a high-diastolic pressure group was 71.2%, predicting a normal-diastolic pressure group was 71.3%, and total Hit Ratio was 71.3%. Multiple regression analysis was performed to examine the association of systolic blood pressure with life style-related variables after adjustment for obesity, serum lipids, and demographic variables. First, the effect of demographic variable alone on the systolic blood pressure was statistically significant(p=.000) and adjusted R2 was 0.09. Adding the variable obesity on demographic variables resulted in raising adjusted R2 to 0.11(p=.000) ; therefore, the contribution rate of obesity on the systolic blood pressure was 2.0%. On the next step, adding the variable serum lipids on the obesity and demographic variables resulted in raising adjusted R2 to 0.12(p=.000) : therefore, the contribution rate of serum lipid on the systolic pressure was 1.0%. Finally, adding life style-related variables on all other variables resulted in raising the adjusted R2 to 0.18(p=.000) ; therefore, the contribution rate of life style-related variables on the systolic blood pressure after adjustment for obesity, serum lipids, and demographic variables was 6.0%. Multiple regression analysis was also performed to examine the association of diastolic blood pressure with life style-related variables after adjustment for obesity, serum lipids, and demographic variables. First, the effect of demographic variable alone on the diastolic blood pressure was statistically significant(p=.01) and adjusted R2 was 0.03. Adding the variable obesity on demographic variables resulted in raising adjusted R2 to 0.06(P=.000) ; therefore, the contribution rate of obesity on the diastolic blood pressure was 3.0%. On the next step, adding the variable serum lipids on the obesity and demographic variables resulted in raising the adjusted R2 to 0.09(p=.000) ; therefore, the contribution rate of serum lipid on the diastolic pressure was 3.0%. Finally, adding life style-related variables on all other variables resulted in raising the adjusted R2 to 0.12(p=.000) ; therefore, the contribution rate of life style-related variables on the systolic blood pressure after adjustment for obesity, serum lipids, and demographic variables was 3.0%.
Blood Pressure* ; Discriminant Analysis* ; Education ; Humans ; Incheon ; Male ; Obesity ; Physical Examination ; Republic of Korea ; Risk Factors* ; Smoke ; Smoking ; Triglycerides

PURPOSE: This study was to identify the significant acute physiological predictors of mortality and of functional and cognitive recovery in hemorrhagic stroke patients. METHODS: The subjects were 108 hemorrhagic stroke patients admitted to Neurological Intensive Care Unit of a university hospital. RESULTS: The significant physiological predictors of mortality and of functional and cognitive recovery were quite different upon admission Glasgow Coma Scale scores: respiratory rate, hematocrit, serum pH, osmolality, and PaCO2 were the predictors in the subjects with a high Glasgow Coma Scale scores while blood pressure, PaO2, respiratory rate, and hematocrit in the subjects with a low Glasgow coma scale scores. CONCLUSION: The physiological derangements induced by acute stroke are undoubtedly influence clinical outcome. More study is required to determine their diverse impacts on clinical outcomes.
Blood Pressure ; Glasgow Coma Scale* ; Hematocrit ; Hemorrhage ; Humans ; Hydrogen-Ion Concentration ; Intensive Care Units ; Mortality ; Osmolar Concentration ; Prognosis ; Respiratory Rate ; Stroke*

This study was performed to evaluate the effect of 7-week comprehensive health promotion program for RA patients (CHPPRA) on changes in pain and depression. In addition, it was also examined that this effect was generated by changes in patients' health promoting strategies (positive self-image, positive thinking, problem solving, communication, pain management, stress management, exercise, and knowledge about RA) learned through CHPPRA. Twenty-eight out-patients of RA clinic in a university hospital participated for this study. The results are as followers. Changes in exercise, self-concept, positive thinking, problem solving, depression, and pain management were significant predictors to explain relieving pain level. Since all of these variables had positive standardized beta weights (betas), it can be interpreted that increasing level of these health promoting strategies may induce pain improvement. Changes in positive thinking, communication skill, exercise, self-concept, pain management, and knowledge about the disease were significant predictors to explain positive change in depression. Since all of the significant variables except the change in knowledge about the disease had positive standardized beta weights (betas), it can be interpreted that increasing level of these health promoting strategies may induce improving depression level. However, our results showed that the higher level of the knowledge about the disease was, the worse depression was.
Arthritis, Rheumatoid ; Depression* ; Health Education ; Health Promotion* ; Humans ; Outpatients ; Pain Management ; Problem Solving ; Thinking ; Weights and Measures

The purpose of this study was to examine 1) whether the relationship between smoking and obesity was linear or non-linear (specifically U-shaped), and 2) if this relationship was proved to U-shaped, whether it was due to the in teraction of the effects of smoking and alcohol consumption on obesity. The present study was performed using cross sectional data taken from the medical records of 400 male patients. Data was analyzed using linear and curvilinear estimation, Fisher's exact test, and two-way ANCOVA. The relationship between smoking intensity and BMI was able to be explained significantly by a quadratic model, rather than by linear model. As has been shown in other studies, this relationship was parabolic (or U-shaped), though it was not particularly remarkable. This U-shaped relationship appeared to be due to the interaction of the effects of smoking intensity and alcohol consumption on BMI. On the other hand, the relationship between smoking intensity and the percentage of body fat was able to be explained significantly by a linear as well as a quadratic model. Additionally, the interaction effect between smoking intensity and alcohol consumption did not influence the percentage of body fat significantly. In conclusion, there is no doubt that smoking and obesity are both serious health hazards. Based on the results of this and other studies, it can be confirmed that heavy smoking has a positive relationship with obesity. Therefore, the health benefits of smoking cessation, as well as the correction of unhealthy habits such as alcohol consumption should be clearly emphasized.
Adipose Tissue/pathology ; Adult ; Aged ; *Alcohol Drinking ; Body Mass Index ; Human ; Male ; Middle Age ; Obesity/pathology/*physiopathology ; *Smoking

PURPOSE: This study was conducted to investigate the individual and cross influences of age, gender, and severity on recovery of patients with brain injury. METHODS: For the purpose of the study, traumatic or spontaneous brain injury patients admitted to the intensive care unit (ICU) were conveniently selected. The data regarding outcomes were collected 3 months after admission. RESULTS: Individual influences of the study variables on patients' recovery were significant, except for gender. But while the individual influence of gender on recovery was not significant, cross influence of gender and age was significant, but only for the sub-dimension of 'arousalbility and awareness'. The study results also showed that 3-way cross influence of gender, age, and severity was only significant on the sub-dimension of 'arousalbility and awareness'. CONCLUSION: The sub-dimension of recovery cross influenced by the demographic factors of gender and age, and severity was 'arousalbility and awareness'. This might indicate that the study variables that cross influencing recovery had more influence on consciousness compared to physical function and psycho-social adaptation.
Adult ; Age Factors ; Aged ; Awareness ; Brain Injuries/*diagnosis ; Demography ; Female ; Humans ; Intensive Care Units ; Male ; Middle Aged ; *Recovery of Function ; Severity of Illness Index ; Sex Factors