OBJECTIVES The reproductive history of women has been suggested to have a possible influence on the risk of osteoporotic fractures. The purpose of this study was to assess the association between reproductive history and hip fractures in the elderly women. METHODS: The study subjects were drawn from women members of the Korean Elderly Pharmacoepidemiologic Cohort (KEPEC), aged 65 years or over, whose reproductive histories were available, and who were beneficiaries of the Korea Medical Insurance Corporation (KMIC) in 1993 and lived in Busan city, Korea. The information on reproductive histories, and possible confounders, were collected from mailed questionnaires. Potential hip fracture cases were collected from the claims data obtained between 1993 and 1998, with a hospital survey conducted to confirm the final diagnoses. Rate ratios and their 95% confidence intervals, were calculated using a Cox's proportional hazard model. RESUJLTS: Following up 5,219 women for 6 years, 51 cases were confirmed with hip fractures. When adjusted for age, weight and physical activity, the rate ratio of hip fractures in women who had given birth three or more times was 0.56 (95% CI: 0.25 - 1.25), compared with those who had given birth two or less times. When adjusted for age, number of births, weight and physical activity, the rate ratio in women who first gave birth when younger than 22 years was 0.60 (95% CI: 0.34 - 1.08) compared with those who had giving birth at 22 years or older. CONCLUSIONS: According to these findings, an early age when first giving birth might decrease the risk of hip fractures in elderly Korean women.
OBJECTIVES A common problem with analyzing survey data involves incomplete data with either a nonresponse or missing data. The mail questionnaire survey conducted for collecting lifestyle variables on the members of the Korean Elderly Phamacoepidemiologic Cohort(KEPEC) in 1996 contains some nonresponse or missing data. The proper statistical method was applied to evaluate the missing pattern of a specific KEPEC data, which had no missing data in the independent variable and missing data in the response variable, BMI. METHODS: The number of study subjects was 8,689 elderly people. Initially, the BMI and significant variables that influenced the BMI were categorized. After fitting the log-linear model, the probabilities of the people on each category were estimated. The EM algorithm was implemented using a log-linear model to determine the missing mechanism causing the nonresponse. RESULTS: Age, smoking status, and a preference of spicy hot food were chosen as variables that influenced the BMI. As a result of fitting the nonignorable and ignorable nonresponse log-linear model considering these variables, the difference in the deviance in these two models was 0.0034(df=1). CONCLUSION: There is a lot of risk if an inference regarding the variables and large samples is made without considering the pattern of missing data. On the basis of these results, the missing data occurring in the BMI is the ignorable nonresponse. Therefore, when analyzing the BMI in KEPEC data, the inference can be made about the data without considering the missing data.
OBJECTIVES To review the drug prescription pattern of antiulcerative agents for elderly inpatients. METHODS: The study population comprised inpatients of community hospitals who were members of the Korean Elderly Pharmacoepidemiologic Cohort (KEPEC), aged 65 years or over, beneficiaries of the Korea Medical Insurance Corporation (KMIC) and residing in Busan city in 1993. The drug prescription information was collected from the claims data of hospitals where the cohort members received medical care between January 1993 and December 1994. The information included personal identification, age, gender, diagnosis, drug dosage, date of hospital admission and name of medical institutions where the study subjects received drug prescriptions. The data analysis produced outcomes in terms of distribution of antiulcerative agents by class and by medical institution and trend of relative prescription. Analysis was also performed in terms of combined prescriptions of antiulceratives and drugs that could induce risk from drug interaction with antiulceratives. RESULTS: The number of patients prescribed antiulcerative agents was 1,059 (64.9%) male and 1,724 (65.5%) female among the total inpatients. An antacid and composite agent was the most frequently prescribed antiulcerative agent (70.8%), followed by H2 antagonist (16.0%). Among the potential drugs that could induce risk from drug interaction with the antiulcerative agents, diazepam was the most frequently prescribed. The proportion of diazepam co-prescription was 22.5% of the total cimetidine prescriptions and 14.5% of the total omeprazole prescriptions. CONCLUSIONS: Antiulcerative drugs were frequently prescribed in the elderly inpatients. The adverse drug reaction could possibly be due to drug interaction. The study results could be used as fundamental data for further drug utilization review of antiulcerative agents.