BACKGROUND: Smoking increases the risk of respiratory, cardiac diseases and cancer. This study is to ascertain the relationship between passive smoking, the modes of residence, its location and the immunoglobulin values as well as the eosinophil counts in relation to child patients suffering from bronchial or cardiac asthma. METHODS: The research was conducted at a general hospital with cooperation of 242 patients who had been hospitalized 1991 through 1995. We compared the average values of immunoglobulin between the groups of exposed and non-exposed to smoking by T-test. A same work for residential modes was done by T-tests, while the data regarding the residing locality were processed by ANOVA. RESULTS: Each values of TEC, IgE, IgA, and IgM in both groups has been analysed but spelling no significant differences. The group residing in apartments showed lower value of IgM than those of flats. CONCLUSIONS: The reason the IgM value of apartments is lower than that of flats is due to the difference of living quarters. This signifies the modes of residence may as well affect the IgE value.
Asthma ; Child* ; Eosinophils ; Heart Diseases ; Hospitals, General ; Humans ; Immunoglobulin A ; Immunoglobulin E ; Immunoglobulin M ; Immunoglobulins* ; Smoke ; Smoking ; Tobacco Smoke Pollution*

No abstract available.
Aged* ; Humans ; Pneumonia*

No abstract available.
Aged* ; Humans ; Pneumonia*

BACKGROUND: The drug abuse has become one of social problems especially in the adolescents. It has been well known that the drug abuse is concerned with interaction of biopsychosocial factors and farnily relation factors. So I have studied the general characteristics and rearing attitude and family state of the adolesents who were in a jail because of drug abuse and have intended to give some help for establishing effective strategies for family education and therapy. METHODS: The study was done for adolescents who were in a jail because of violation the illegal drug control law. The group was total 55 men and the age distribution was frorn 15 to 20 years. The Questionnaire was used in Mar 1996 for study and I analyzed 53 cases excluding 2 cases because they were nearly illiterate. The FACES III(Family Adaptability and Cohesion Evaluation Scales), family APGAR score and PBI(Parental Bonding Instrument) were used for evaluating the characteristics of family function and the parental rearing attitude. Statistical management with SAS was executed for data analysis. RESULTS: The average age of the group was 6.9+/-1.4. 48.1% of them lived in the metropolitan area, 40.4% lived in the middle-sized cities and 11.5% lived in the small country towns. The education level of 91.8% was under middle-school graduate. They have use drugs since the age of 14.6+/-1.8, they began to use glue sniffing at the first time in 78.8% and butane gas inhalation in 17.3%. The state of family showed the death of father in 28.9% and the death of mother in 13.5 % and 76.9% of deaths occured before they have become 13 years. Their parents divorced in 25 %. The mean APGAR score was 4.56+/-2.6, which means moderately dysfunctional state of family. In FACES III adaptability score was 20.3+/-5.7 and cohesion score was 26.2+/-6.9. According to the family type by FACES III, there were 5 cases(9.4%) in balanced, 19 cases(35.9%) in midrange, and 29 cases(54.7%) in extreme. In PBI mother overprotection score was 16.24+/-4.59, mother care score was 22.5+6.8, father overprotection score was 16.71+/-5.1 father care was 21.94+/-6.24. CONCLUSIONS: The drug abused adolescents in a jail were in hadicapped family because of deaths and divorce of parents. Their family function score was low and more than half of them had the extreme type of family. Therefore it is wise for us to have a concern for the family problem when understanding and managing drug abused adolescents.
Adolescent* ; Age Distribution ; Apgar Score ; Divorce ; Drug and Narcotic Control ; Education ; Fathers ; Humans ; Inhalant Abuse ; Inhalation ; Jurisprudence ; Male ; Mothers ; Parents ; Social Problems ; Statistics as Topic ; Substance-Related Disorders ; Surveys and Questionnaires

BACKGROUND: Family physicians in their on primary practice frequently encounters patients with fever, welch is one of the common symptoms. Fever is an important symptom and can occur in mild disease, common cold, influenza, acute pharyngotonsillitis or can originate from a particular severe disease, such as bacterial endocarditis, malignant lymphoma and SLE, which need more aggressive management. Therefore, we studied patients who were admitted with short-term fever or long-term fever to find out their causes of febrile disease and to compare the differences with previous other studies. METHODS: 601 patients with fever above 37.2 degree centigrade or those who were transferred from other hospitals due to long-term fever were enrolled from Jan. 1991 to Jun. 1997. Patients' medical records reviewed and were classified according to disease, sex, age. Standardization of Petersdorf's rule for F.U.O. was used. RESULTS: 601 patients were randomly selected among which 301 were males and 300 females. Males were 147 and females 147 young adult patients as compared to 154 males and 153 females were elderly patients. According to disease category, the number of infections, connective tissue diseases, neoplastic diseases and other diseases were 442(73.5%), 14(2.3%), 87(14.5%) and 21(3.5%), respectively. The number of diseases of undetermined case was 37(6.2%). The most frequent disease was pneumonia with 103(31.1%). UTI and tuberculosis were the 2nd and 3rd most common diseases. The total number of F.U.O. patients was 82(13.6%). According to the disease categories there were 29(35.4%) in infections, 2(2.4%) in connective tissue diseases, 12(14.6%) in neoplasms, 2(2.4%) in others and 37(45.2%) in unknown origin. The most common disease was tuberculosis. Infection and tuberculosis were common disease category and disease in the classification of sex and age of F.U.O.. CONCLUSIONS: In the clinical study of febrile patients admitted from Jan. 1991 to Jun.1997 through medical record review, the disease category in the order of frequency was infection, neoplasm, collective tissue disease and the distribution of F.U.0. was same result. In comparison with other study, the order of connective tissue disease and neoplasm was different in other hospital study but same result was taken In comparison with Petersdorf's study.
Aged ; Classification ; Common Cold ; Communicable Diseases ; Connective Tissue Diseases ; Endocarditis, Bacterial ; Female ; Fever of Unknown Origin* ; Fever* ; Humans ; Influenza, Human ; Lymphoma ; Male ; Medical Records ; Physicians, Family ; Pneumonia ; Tuberculosis ; Young Adult

No abstract available.
Humans ; Patient Satisfaction*

BACKGROUND: In Korea, the separation of prescribing and dispensing medicine was finally accepted as a medical policy in July, 2000, after a long period of discussion and study which was started in 1963. Now a year after the policy started, we investigated the knowledge, attitude, and practice of separation of prescribing and dispensing medicine. METHODS: Information, concerning whether the policy was effectively carried out and well understood, were gathered from 383 patients, who visited an university hospital from August 20 to September 1, 2001. RESULTS: The results revealed that 73.1% of the subjects knew the policy precisely. However, only 1.6% of them could answer all four questions on the purpose of the policy. The old-aged, the low educated, the low socioeconomic groups and the residents in agricultural area revealed poor understanding of the policy (P<0.05). Among the total, 74.9% showed negative response toward the policy. Time and cost increment were 75.7% and 75.2%, respectively. Among them 61.1% revealed negative attitude towards continuance the policy and 93.2% revealed dissatisfaction of the policy. CONCLUSION: The knowledge of the policy was relatively high. However, negative attitudes prevailed on the continuance of the policy. Therefore, more solutions and better strategies for the problems of prescribing and dispensing medicine would be needed.
Humans ; Korea

BACKGROUND: Obesity is a risk factor for developing hyperlipidemia and cardiovascular diseases. Various diagnostic methods and criteria of obesity have been developed. The predictive values of health risk factors(hyperlipidemia, hypertension, diabetes mellitus, and body fatness) were different for cardiovascular diseases. We reviewed the medical records to assess the relation of health risk factors to waist-hip ratio(WHR) and body mass index (BMI). METHODS: We gathered 5100 cases who have taken medical examination from March 1995 to February 1996 at Ajou University Hospital and measured BMI, WHR, body fat, total cholesterol, triglyceride, high density lipoprotein cholesterol, low density lipoprotein cholesterol, systolic and diastolic blood pressure, fasting blood sugar etc.. Except 1350 abnormal cases on current illness and laboratory study, 3750 healthy cases were analysed. First we divided the healthy cases into obese and non-obese group according to BMI 25kg/m2 in men and women. And then, the obese and non-obese group was divided into central and non-central obese type by WHR 0.8 in women and 0.9 in men. RESULTS: Except only diastolic blood pressure in male, other lab data such as body fat, total cholesterol, triglyceride, high density lipoprotein cholesterol, low density lipoprotein cholesterol, systolic and diastolic blood pressure, fasting blood sugar in male and female were significantly different between the two groups divided by WHR in BMI<25kg/m2. But in BMI)25kg/m2, men had higher(P<0.01) triglyceride at WHR>_0.9. Women had higher(P<0.05) triglyceride, systolic and diastolic blood pressure at WHR>_0.8. CONCLUSIONS: We thought that the increase of WHR was risk factor for hyperlipidemia, hypertension, diabetes mellitus in men and women when BMI was less than 25kg/m2. In obese group(BMI>_225kg/m2), increase of WHR was risk factor for hyperlipidemia in men and hyperlipidemia and hypertension in women.
Adipose Tissue* ; Blood Glucose ; Blood Pressure* ; Body Mass Index* ; Cardiovascular Diseases ; Cholesterol ; Cholesterol, HDL ; Cholesterol, LDL ; Diabetes Mellitus ; Fasting ; Female ; Glucose* ; Humans ; Hyperlipidemias ; Hypertension ; Male ; Medical Records ; Obesity ; Risk Factors ; Triglycerides ; Waist-Hip Ratio*