As the proportion of aged population has been increasing worldwide by the rapid development of socio-economy, health science, and educational level that affect the policy against health service and social welfare, one of the urgent issues of Mongolian society and medical science facing is to develop healthy aging process and prevention of pathological aging. As we know, healthy aging process depends upon several factors such as heritage, biological and physiological internal factors, living condition, climate, geography, socio-economy, nutrition, drinking water, lifestyle etc,. Thus, the development of healthy aging and its influential factors is an immediate issue of Mongolian medicine and society.A cross-sectional regression analysis has been used to measure socioeconomic and physiological factors for longevity. Total of 1897 participants aged less than 80 are randomly collected from Ulaanbaatar city and Mongolian 4 regions.Total of 1897 participants, less than 80 years old are involved in this study. People in an urban area are higher than those in countryside. About housing condition, 63.5% of total participants are in apartment at UB and 37.8% is in House and 44.3% in Mongolian Ger. Estimating participant’s income, 25% of relatively healthy population is below than the minimum of subsistence. However 50% of elderly people aged between 75-80 is below than minimum of subsistence. Comparing income level by age and gender income is decreased while age is increased, males are relatively higher than females. Middle income people are by 20.9%, high income people are by 57.7% less the risky than low income people. Unhealthy status is increased by 1.0% while a year of smoking, LDL by 96.5%, HDL by 94.7%, Triglycerid by 71.2%, CAVI by 91% increase risks respectively.Below indicators are more influential for the healthy aging of Mongolian elderly people as follows, education level (ρ-0.001), household income (OR=0.423, ρ<0.0001), living conditions (OR=0.326, ρ<0.05), LDL (OR=0.035, ρ<0.0001), HDL (OR=0.053, ρ<0.0001), glucose (OR=0.014, ρ<0.0001), CAVI (OR=0.090, ρ<0.0001). Higher density of healthy aged populations is found in the central region of Mongolia where altitude is 1000-1500 meters above than sea level (MASL) and temperature is between 0-6 Celsius.

BACKGROUND. According to the World Health Organization (WHO), 10-15% of couples of reproductive age have infertility. According to researcher D. Sukhe (1999), hormonal infertility in the reproductive age of women was 33.6%, which was a large part of the cause of infertility. In recent years, the number of cases of endocrine disorders, including malignancy and sexually transmitted infections, have been increasing year by year. According to WHO reports, thyroid disorders have a prevalence of 49.3% among active reproductive age (30-50) group. According to the report of the Health Development Center in 2016, since the thyroid disorders are the second most common disease in endocrine gland disease, our study has found that the infertility in reproductive age of women can be substantial due to the loss of thyroid gland. OBJECTIVE. To study the relationship between the thyroid gland antibodies and female infertility. MATERIAL AND METHODS. The study was carried out in 20-45 year old couples and was modeled as an analytical study model. The questionnaire was used for the couple’s interviews, antroplogical measurements, and serum was analysed. On the serum, anti-TPO and аnti-TG carbohydrates were identified by the Cobas e-411 analyzer under the manufacturer’s accompanying protocol. RESULTS. Prevalence of TAI, in 6.7% positive anti-Tg were found, and 14.3% had positive TPO. In 3.7% of cases, both types of autoantibodies were present. We analysed binary logistic regression for anti-TPO and anti-TG autoantibody in the positive and negative group in relation to the past obstetrics history. A=Accoding to the analysis, evidence of positive anti-TPO and anti-Tg increased the risk of miscarriage by 2.2 times (OR = 2.2, p <0.01). CONCLUSION: Women with infertility in our study have high percentage of subclinical hypothyroidism and have higher rate of thyroid autobodies in serum which could be a problem for women with infertility and pregnancy complications due to the loss of thyroid gland. Thus, there is a need to develop intervention guidelines for recovery and treatment of these types of infertility.

Purpose: Researchers suggest that the prevalence of infertility varies between developing and developed countries, with differences in infertility care, socioeconomic status, lifestyle, and reproductive disorders such as pelvic inflammatory disease and sexually transmitted infections being the main risk factors. The research project aims is to define risk factors for female fertility in the Mongolian population. Methods: This study was conducted between 2016-2018 using a cross-sectional survey of analytical research. Participants were randomly selected from Ulaanbaatar and the Central, Western, Eastern, and Khangai provinces according to Mongolia’s regional geographic model. The contents of a questionnaire were comprised of 5 units with 95 questions including socio-economic, geographical, lifestyle, health education, reproductive health indicators, sexual behavior. General physical characteristics were measured according to the standard. Results: The prevalence of the female fertility rate in the Mongolian population is 7.4%. Female participants were classified into 2 groups, namely infertile and fertile, and we developed a case-control study. Among the socio-economic factors influencing infertility, primary education aOR: 1.6 (95% CI 0.98-2.66), monthly household income lower than the average aOR: 1.1 (95% CI 0.77- 1.66), living in rural areas OR: 2.3 ( 95% CI 1.46-3.68) were crucial risk factors. As for reproductive and general health indicators, STIs aOR: 1.8 (95% CI 0.98-3.50), especially gonorrhea OR: 2.8 (95% CI 1.14-6.91), and thyroid disorders OR: 1.7 (95% CI 1.03). -2.97), grade 3 obesity OR: 3.8 (95% CI 1.05-13.95) are estimated risk factors for infertility. Conclusions Of all potential socio-economic factors, residence status, education and financial situation are significant for female infertility meanwhile reproductive health indicators include sexually transmitted infections, thyroid disease, and obesity.