RESUMO
About 10-15% of infertility among reproductive aged couples. According to the Centers for Disease Control, 1/3 of the women among 30 over aged, ½ of the women among 40 over aged women have infertility. Infertility rate is in Europe 10%,in USA 15%, in Russia 17 % (Speroff L. Endocrinology and Infertility. 2005). Female infertility is 45.6%, caused by damage to fallopian tubes is 61%, hormonal causes infertility is 30-40%. In Mongolia the report of study in 1997, infertility rate was 13.06%, report of IVF laboratory of Bayangol hospital infertility rate was 8-10% in 2010, the female infertility was 40-60%. We have first time to study female infertility risk factor among our gynecological department. Aim of study is to identify the some risk factor of female infertility We separated the women into 2 groups by fertile (normal 48 women and infertility 48 women). Hormonal findings was obtained from all women and had survey of questionnaire to risk factor. Statistical analysis did SPSS 20, data were given as mean±SD, the frequencies of the alleles and genotypes in patients and controls were compared with X2 analysis. Odds ratio (OR) and 95% confidence intervals were calculated.The mean age was 33.4±6.1 and mean years of infertility was 7.0±4.5. The primary infertility was 27.1% (n=13), secondary infertility was 72.9% (n=35). The 1.2% (n=15) were given birth, the 33.3% (n=16) had miscarriage and 58.3% (n=28) had abortion of total women. The mean BMI was 24.7±4.6 and 23% were overweight and 13% women were obesity among infertility women. The mean length of uterus was 5.1±1.1 sm, width was 4.0±0.8 sm, mean length of ovaries was 3.1±0.6 sm, mean width was 2.3±0.6 sm among infertility women. Also estradiol mean level was 41.6±22.1 pg/ml, FSH was 15.6±6.1mIU/ml, LH 5.5±1.7mIU/ml, and prolactin 14.4±10.6 ng/ml, progesteron mean level was 0.6±0.1 ng/ml among infertility women. These hormonal level was same in normal women. The risk factor of infertility were sexually transmitted disease (p=0.007, OR=7.667, CI 1.612-36.455), and curettage of uterus (p=0.024, OR=1.357, CI 1.156-1.1819). Secondary female infertility rate was (72.9%) and the women with STD 7.6 hold and women with previous had curettage of uterus will get 1.3 hold the risk of infertility.
RESUMO
Cervical cancer is commonly caused by infection with human papilloma virus(HPV) and some risk factors are involved in the etiology of it.1 All over the world 437000 people are diagnosed with cervical disorders and half of them die due to cervical cancer.2 Annually 12000 new cases of cervical cancer are detected and 5000 women die because of it. In Spain about 2000 women are determined in the 3rd and 4th stage of the disease per year.3 Over the period 2000-2008 cervical cancer rate is 8 %among all cancers in Mongolia. Approximately 16 % of women’s cancer is cervical cancer. 4 In developing nations prevalence rate of cervical cancer is higher because of malnutrition, quality and framework for early detection are not satisfying and some reproductive risk factors also influence on it. 5 Worldwide diagnosing early and rapid management of precancerous condition and cervical abnormalities turn into main issue. Therefore based on these detection of premalignant lesion of cervix by colposcopy the main objective of the study. The overall goal of the study is to detect the premalignant lesion of cervix by colposcopy and determine of some risk factors and study the results.A total of 71 women, who are treated in Women’s inflammatory disease unit, Infertility and Women’s endocrine disorder unit are recruited for the cross sectional study. The women, who conducted the study were selected by accidently and colposcopy was done. They also have completed special questionnaires. The data were analyzed using the SPSS 19.0, Windows Office. The average age of the women was 38±9.4. Colposcopy was done 90.1% (n=64) of women, 9.9% (n=7) of women had not colposcopy. Among the women who had colposcopy, biopsies were taken 56.3% (n=36). During colposcopy we analyzed condition of cervix then we took biopsy from suspected areas and sent it histology laboratory. We compared predictive diagnosis, histology results after colposcopy and 33.3% (n=12) were identified as normal, CIN I was 52.7%, (n=19), CIN II was 5.5% (n=2), CINIII was 2.7% (n=1), cervical cancer is confirmed in 5.5% (n=2). We studied risk factors that can influence the cervical disorders among the women recruited in the study and age of first sexual intercourse (r=0.356, p=0.033), number of abortion (r=0.412, p=0.029) were statistically significant. However age of the women, parity, usage of contraceptive pills, smoking, number of sexual partners were statistically not significant.(p>0.05) When women’s age of first sexual intercourse is younger, cervical cancer disorder occurs30% greater comparing to women having first sexual intercourse later, (p<0.05, R=0.3), when number of abortion increases cervical cancer disorder increases 40%(p<0.05, R=0.41). F-1 to recruit osteoprogenitor /mesenchymal stem cells in the bone regeneration process.
RESUMO
To determine relationship between serum estradiol (E2) levels and bone mineral density (BMD)in different stages of menopausal period. The 300 healthy postmenopausal women selecting from family registration number of Ulanbatorcity randomly were enrolled for this cross-sectional study design. The women were allocated to one of four groups according to the Stage of Reproductive Aging Workshop (STRAW) classification of WHO of the forearm and tibia bone, as measured by bone ultrasound Mini-Omni. Serumestradiol levels, age and menopause were compared between the groups. Statistical analysis were performed by using SPSS 20, using ANOVA, Pearson correlation, multiple liner regression analysis. The menopausal mean age was 48.4±3.4. The mean serum estradiol levels decreasing each groups. Osteoporotic and osteopenia BMD were comparable. The mean BMD was 3785±273.4m/s for premenopausal and 3728±184 m/s postmenopausal late stage of women. The mean BMD decreasing at time since menopause, had a predictive value for postmenopausal late stage group than did serum E2 levels (p<0.05). SOS was significantly different in every stage of menopausal women (p<0.05). SOS was negatively correlated with age (r=-0.30, p<0.05). CONCLUSIONWe identified in our study the mean age of menopause was 48.4±3.4 years. We compared with average age of onset of menopause among Mongolian women and others surveys thatstudied in Asian countries it was similar. In our result of the study, decreasing estradiol level was determined from postmenopausal period and it is similar with results of researchers D.Batnaran (2010) and also other foreign researchers. When we show that our results of osteoporosis were 11.2%, osteopenia was 34.6% were similar to results of Asian women from reports of WHO in 2008 years. Osteoporosis is increasing in earlier period of postmenopausal than premenopausal stage of menopause. BMI had statistical correlation with osteoporosis
RESUMO
Osteoporosis and the fractures associated with it constitute a major public health concern. Osteoporosis is a systemic skeletal disease characterized by low bone density and microarchitectural deterioration of bone tissue with a consequent increase in bone fragility. A WHO Scientific Group on April 2000 estimated osteoporosis is well-defined disease that affects more than 75 million people in Europe, Japan and the USA, and causes more than 2.3 million fractures annually in Europe and the USA.In Europe, for example, the number of women over 50 years of age is projected to increase by 30%-40% between 1990 and 2025.Most studies suggest the required daily intake is between 1000 mg and 1500 mg in postmenopausal women not taking estrogen replacement therapy. This can be obtained from about three serves of dairy products per day. For example, one glass (250 mL) of milk, two slices (40 g) of Cheddar cheese, or one tub (200 g) of yoghurt each contains about 300 mg of calcium. In one French study involving vitamin D deficient institutionalized elderly patients, simple vitamin D3 (800 IU) and calcium (1200 mg/day) reduced hip fractures by 43%.The management of postmenopausal osteoporosis should be based on an individual risk/benefit analysis, time since menopause, presence or absence of estrogen with drawal symptoms, history of atraumatic fractures, and other medical conditions. Socioeconomic evaluation of osteoporosis can be undertaken to estimate the cost of disease, the effectiveness of treatments, and the effects of strategies to identify patients at high risk such as screening and case-finding, or to assess global strategies. Global strategies aimed at increasing the BMD of the general population have not been adequately tested, but general advice on lifestyle is an important component of patient care.