ABSTRACT
Here, we report a case of adolescent woman with secondary amenorrhea complicated with polycystic ovary syndrome, which had a normal menstrual period after prescribed shokenchuto under the therapy based on Kampo diagnosis. The case is 14-year-old woman, who had already hormonal therapy due to the secondary amenorrhea, and was difficult to treat because of edema and weight gain. Secondary amenorrhea, multiple cysts in the ovary, and hypertestosteroneemia were confirmed, and the patient was diagnosed with polycystic ovary syndrome. Abdominal pattern was weak and the abnormalities of the abdominal strength were prominent. Therefore, we administered her shokenchuto. After two weeks, menstruation began, and thereafter the menstruation had progressed without any irregularities. Blood examination also showed normal testosterone level. It was suggested that it would be important to focus on the preparation for digestive function and to treat the secondary amenorrhea of adolescent women.
ABSTRACT
Adolescent depression is a common psychological problem and also a high-risk factor for suicide and self-injury. Its symptoms are atypical, hidden, easy to relapse, and with high-incidence in females, so caused the close attention of society. Frequency of dysmenorrhea and menstrual disorders would cause serious negative effects on adolescent women, which can induce a series of mood disorders and behavioural problems such as depression and even suicide. The present paper reviews the correlation between adolescent woman's depression and menstrual disorder, explores its occurrence and potential factors, and gives targeted preventive measures for reducing the occurrence of emotional disorders among adolescent women and promoting their mental and physical healthy growth.
ABSTRACT
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.