مجله زنان مامائی و نازائی ایران
سال هجدهم شماره 175 (هفته اول دی 1394)

Polycystic ovary syndrome (PCOS) is common in people seeking assisted reproductive techniques and the prevalence of obesity in these women is 50%. Body mass index can be effective in the result of IVF treatment cycle. This study was performed with aim to determine the relationship between body mass index and chemical pregnancy after IVF treatment cycle or intracytoplasmic sperm injection in infertile women with polycystic ovary syndrome at Royan Institute.

In this retrospective cohort study, 983 treatment cycles of IVF/ICSI related to infertile couples referred to Royan institute during 2012-2013 were assessed. A total of 115 cases diagnosed with polycystic ovary syndrome were entered to the study. Body mass index was determined by measuring height and weight. After receiving proper treatment cycle, chemical pregnancy rate were compared between overweight and obese women with normal women. Data analysis was performed using Stata software (version 13). P

Among 983 treatment cycles, 11.7% of patients were diagnosed with polycystic ovary syndrome. In these cases, after adjusting for confounding variables and compared to the women with normal body mass index, the risk of treatment failure in overweight patients was 1.04 times (95% CI: 0.58-1.87, P=0.883) and in obese patients 0.98 times (95% CI: 0.51-1.86, p=0.961).

In women with PCOS, the rate of pregnancy after assisted reproductive treatment was not significantly different between normal, overweight and obese cases.

Labor progress assessment is one of the key factors of maternal care during labor. Anthropometry is one of the branches of anthropology which includes the measurement of different parts of human body. Many studies have assessed the relationship between anthropometric indices and labor disorders. One of these common indices is Cormic Index which defines as: "(sitting height/standing height) × 100". This study was performed with aim to determine the relationship between Cormic Index and labor progress. This correlation study was performed on 151 nulliparous G2 pregnant women referred to Mashhad Omolbanin hospital during 2014-2015. Standing and sitting heights were measured at cervical dilatation of 3-5 cm. Then, vaginal examinations were done hourly to assess cervical dilatation and fetal head descent up to delivery time. Data were analyzed using SPSS software (version 16), and Independent t-test, Spearman correlation coefficient test, repeated measures analysis, and Chi-square test. P The mean Cormic Index was 51.84±2.62 and mean duration of the active phase of labor first stage was 268.83±192.62 min and mean duration of labor second stage was 35.54±34.88 min. There was no significant difference between Cormic Index in two groups of normal and abnormal labor progress in the active phase of labor first stage (P = 0.65). However, there was a positive correlation between Cormic Index and the duration of labor second stage (rs=0.19, P= 0.02). Moreover, the relationship between Cormic Index and fetal head status untill sixth hour was statistically significant (P<0.05). There is no relationship between Cormic Index and labor progress in the active phase of labor first stage. However, there is a relationship between Cormic Index and duration of labor second stage and fetal head descent, so that whatever the trunk is taller (the higher Cormic Index), labor second stage will be longer. Therefore, the labor progress in the latent phase or at the beginning of active phase of labor can be assessed based on Cormic Index.

Improving the Quality of life (QOL) is considered as one of ultimate goal of chronic disease management such as diabetes. Dealing with the crisis of affecting one of spouses to diabetes leads to decreased marital satisfaction that may affect on their QOL. This study was performed with aim to evaluate the association between marital satisfaction and QOL in women with type 2 diabetes in Mashhad. This descriptive study was performed on 90 women with type 2 diabetes referring to health care centers in Mashhad during 2014–2015. Data collection tool was three questionnaires of disease and demographic characteristics, Azarin Natan H marital satisfaction index and short form-36 quality of life questionnaires. Data were analyzed by SPSS (version 16), and correlation coefficient statistical tests, variance analysis, and Linear Regression. In this study, 30 subjects (33.3%) had low marital satisfaction and 58 (64.4%) moderate marital satisfaction. According to the results of Spearman correlation test, there was a significant relationship between score of marital satisfaction and QOL and dimensions of physical and mental health (P<0.05). Linear regression analysis also indicated that marital satisfaction was able to predict 14.1% variance of Quality of life score in the subjects. Higher marital satisfaction was associated with better quality of life for diabetic women and marital satisfaction is able to predict the quality of life in these patients. Therefore; it is recommended to promote marital satisfaction and perform family counseling in order to improve the QOL for diabetic women, which is one of the main goals of care in diabetic patients.