This study was condicted to construct a hypothetical model of depression in Korean adolescent women and validate the fit of the model to the empiricla data. The data were collected from 345 high school girls in Seoul, from May 1 to June 30, 1998. The instruments were the Body Mass Index, Physical Satisfaction Scale, Family Adaptatibility and Cohesion Evaluation Scale III, Family Satisfaction Scale, CES-D and School Adaptation Scale. The data were analyzed using descriptive statistics with the pc-SAS program. The Linear Structural Relationship(LISREL) modeling process was used to find the best fit model which would predict the causal relationships among the variables. The overall fit of the hypothetical model to the data was moderate [X2=69.6(df=17, p=.000), GFI=0.95, AGFI=0.90, RMR=0.087, NNFI=0.86, NFI=0.90]. The predictable variables, especially menstrual symptoms, physical symptoms and family function, had a significant direct effect on depression, but school life adaptation did not have a significant direct effect. These variables explained 18.1% of the total variance.
This study was designed to determine the predictors of postpartum depression.
One hundred- sixty one women within one year after delivery from one public health center located in the northern area of Seoul were used in this study. The instruments were a survey of general characteristics, the Edinburgh Postnatal Depression Scale, recent life events index, perceived social support from family, Quality of marriage index, parenting stress index, and Rosenberg's self-esteem inventory. Data was analysed using descriptive statistics, Pearson correlation coefficients, and logistic regression.
The average item score of the EPDS was 6.67. 12.4% of respondents, who scored above a threshold 12, were likely to be suffering from a depression of varying severity. The fitness of the model for explaining postpartum depression from six variables, plan for pregnancy, family support, quality of marital relation, perceived social support, life events, childcare stress, and self-esteem, was statistically significant and the predictive power of these variables was 90.9%. The significant predictors of postpartum depression were family support and child care stress.
Further research is needed to identify the prevalence rate of postpartum depression using more reliable sampling methods from a large general population. Nursing interventions need to be developed for promoting family support and reducing childcare stress.