No abstract available.
Hemoglobin A* ; Humans ; Mothers* ; Postpartum Period*

This study was performed using mealtime atmosphere to characterize the food ecology of Korean children residing in different regions of Korea. A total of 705 elementary school students, 347 girls and 358 boys, were divided into three groups according to the areas where they lived, which included Seoul (n = 230), provincial cities (n = 273) and rural areas (n = 202). The subjects were asked to fill out questionnaires which were categorized to determine various factors related to food ecology, life styles, and health related symptoms. The average age of the study subjects was 11.5 years. The results showed that the average height (p < 0.01), weight (p < 0.01) and body mass index (BMIs)(p < 0.01) of the rural group were significantly lower than those of the Seoul and provincial city groups. A significantly higher proportion (10.4%) of the rural group was from disfunctional families, including single parent families, than those of the Seoul (1.7%) or provincial city (4.4%) groups. However, a larger number of children from Seoul ate alone, did not enjoy their meals, and hardly talked to each other during breakfast time, compared to those from the provincial city or rural areas. Also, the proportion (33.0%) of 'good' in balance of meal was the lowest (33.0%) in Seoul of the three areas (p < 0.01). Most of the children answered that they liked having breakfast and dinner with the whole family. In conclusion, the food ecology of elementary children differed according to the regions in which they resided. Although children from Seoul had higher BMIs, their nutritional intake was not satisfactory, and their undesirable food ecology could be a contributing factor.
Atmosphere ; Body Mass Index ; Breakfast ; Child* ; Ecology* ; Female ; Humans ; Korea ; Life Style ; Meals ; Seoul ; Single-Parent Family ; Surveys and Questionnaires

No abstract available.
Groin* ; Vulvar Neoplasms*

No abstract available.

PURPOSE: This study was done to examine the association between body mass index (BMI) and any type of clinical dementia. METHODS: Participants were 60,321 people over 60 years of age enrolled in the Seoul Dementia Management Project in 2011. K-MMSE was used to classify participants as having a cognitive impairment and the Clinical Dementia Rating or DSM-IV by psychiatrists or neurologists to determine whether participants were in the dementia group or the non-dementia group. Descriptive statistics, chi-square test, and binary logistic regression analysis were performed. RESULTS: In the univariate analysis, age, education level, living with spouse, BMI, alcohol consumption, and exercise were significantly associated with dementia. In multivariable analysis, increasing age was positively associated with dementia, and educational level was negatively associated with dementia. The exercise group had a lower prevalence of dementia than the non-exercise group. The odds ratio of dementia in the over-weight and obese groups compared to the normal group was 0.85 (95% CI 0.60, 0.98) and 0.64 (95%CI 0.46, 0.75), respectively. CONCLUSION: Results indicate that dementia is negatively associated with increasing BMI in people aged 60 years or older, but a prospective cohort study is needed to elucidate the causal effect relationship between BMI and dementia.
Aged ; Aged, 80 and over ; Alcohol Drinking ; Body Mass Index ; Cross-Sectional Studies ; Dementia/*epidemiology ; Exercise ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Odds Ratio ; Prevalence ; Residence Characteristics ; Risk Factors ; Smoking

No abstract available.
Female ; Granulosa Cells* ; Interferon-alpha* ; Rodentia*

No abstract available.
Autopsy* ; Statistics as Topic*

The purpose of this study was to develop and test a structural model explaining medication compliance of schizophrenia. From a review of the literature, a hypothetical model was developed based on the conceptual framework of the Health Belief Model with medication knowledge, symptom severity and social support as the exogenous variables, and perceived benefits, perceived barriers, substance use and medication compliance as the endogenous variables. Data was collected at various mental health facilities, including psychiatric outpatient clinics of general hospitals and community mental health centers, between March and May, 2001. A structured questionnaire was used by one- on- one interviews to collect data on 208 schizophrenic patients. Well established measurement instruments, with confirmed reliability, were used to assess each method variable. As a result of covariance structural analysis, the hypothetical model was found not to fit the empirical data well, so a parsimonious model was adopted after modifying the model. The final model was able to explain the 33% medication compliance. Medication knowledge, social support and perceived benefits had significant effects on medication compliance. The findings of this study address the importance of medication education and social support to promote medication compliance. It is also suggested that various education programs and support groups are needed to enhance medication compliance.
Adult ; Antipsychotic Agents/*administration & dosage ; Female ; Humans ; Male ; *Models, Psychological ; Patient Compliance/*psychology ; Schizophrenia/*drug therapy ; Self Administration/*psychology ; Social Support

No abstract available.
Curettage* ; Female ; Humans ; Pregnancy ; Pregnancy, Ectopic*

PURPOSE: The Pediatric Risk of Mortality(PRISM) III score was developed from the Physiologic Stability Index(PSI) to assess pediatric ICU mortality and Provide an objective data as a severity index. Although the PRISM score has been applied to many comparisions and analyses in previous studies, there are few reports applied to pediatric intensive care patients in Korea. To evaluate the effectiveness of the PRISM III score as a severity index for expecting mortality and find important variables influencing mortality, we applied this scoring scale to pediatric neurologic patients admitted to the ICU and analyzed the data statistically. METHODS: Data collection was done by careful review of medical records and scored each clinical variable. The outcome at discharge was determined as non-survival, survival, and hopeless discharge. Determination of mortality in the hopeless discharge group was done within 48 hours after discharge by telephone interview. The study populations were classified into four groups; CNS infection(26 patients), acute encephalopathy(31 patients), status epilepticus(35 patients) and cerebrovascular disorder(4 patients). The difference of the PRISM III score between the survival group and non-survival group was compared by using the nonparametric Mann~Whitney test in the entire study population and for each diagnostic group. To confirm the degree of fitness between the actual mortality and Predicted mortality, the Hosmer-Lemeshow goodness-of-fit test, a multiple logistic regression model was used. All clinical variables used for scoring were compared for survivals and non-survivals by the Chi-square test. f values <0.05 were considered significant. RESULTS: The PRISM III score was significantly higher in the non-survival groups than in the survival group. Predicted mortality from the PRISM III score has fitted to actual mortality According to the results of analyses in each diagnostic groups, the PRISM III score was higher in non-survivals of the acute encephalopathy and CNS infection groups, but statistically insignificant in the cerebrovascular disorders and status epilepticus groups. The important variables of the PRISM III score associated with mortality were mental state, Pupil reflex, systolic blood pressure, acidosis, blood sodium level blood creatinine level, blood glucose level, and PT/PTT. , CONCLUSION: The PRISM III score is helpful in predicting mortality in pediatric intensive care neurologic patients, especially those in the acute encephalopathy or the CNS infection groups. However, this score was not useful in the status epilepticus group, and insignificant in cerebrovascular group. Due to the smallness of the study group, more massive and comprehensive studies are needed as a follow up to this study.
Acidosis ; Blood Glucose ; Blood Pressure ; Cerebrovascular Disorders ; Creatinine ; Data Collection ; Follow-Up Studies ; Humans ; Critical Care* ; Interviews as Topic ; Korea ; Logistic Models ; Medical Records ; Mortality* ; Pupil ; Reflex ; Sodium ; Status Epilepticus