RESUMO
Objective To establish male rat models for fertility following liver transplantation. Methods Male Sprague-Dawley (SD) rats were used as the donors and recipients of liver transplantation. The donor liver was transplanted with two-cuff technique. Liver transplantation was performed in 15 male SD rats. At 3 weeks after liver transplantation, 5 rats were randomly sacrificed for detection of sperm deformity rate. The remaining male rats were mixed bred and mated with healthy female SD rats at a ratio of 1︰2. General conditions of the rats undergoing liver transplantation were recorded. Liver function parameters were detected after liver transplantation. Postoperative sperm deformity rate was observed. The pregnant status of female rats and health situation of their offsprings was monitored. Results All 15 rats (100%) underwent liver transplantation successfully. Nine rats (9/10) survived longer than 8 weeks. Liver function parameters were normal in male rats following liver transplantation. The sperm deformity rate was ranged from 0.5% to 1.3%. Ten male rats undergoing liver transplantation were mixed bred with female rats at a ratio of 1︰2 for 1 week. All female rats were successfully mated and delivered their offsprings after 3 weeks. The offsprings had no evident physiological deformity. Conclusions Male rat models for fertility are successfully established after liver transplantation, which serve as an animal model to evaluate the fertility performance in male patients undergoing liver transplantation.
RESUMO
BACKGROUND: While recent studies have indicated that fertility has remained high in Uganda, no systematic attempt has been made to identify the factors responsible for this persistent trend and to quantify these factors. This paper uses the Uganda Demographic and Health Surveys (UDHS) of 2006 and 2011, to examine the contribution contraceptive use, marriage and postpartum infecundability on one hand and Total Fertility Rate (TFR) on the other. We constructed a database using the Woman's Questionnaire from the UDHS 2006 and 2011. We then apply Bongaarts aggregate fertility model procedures to derive estimates of total fertility rate for the different socioeconomic groups. RESULTS: The findings indicate that a woman's contraceptive behavior; marriage status and postpartum infecundability (also referred to as postpartum insusceptibility due to postpartum amenorrhea, which is intended to measure the effects on fertility breastfeeding), are important predictors of fertility outcomes. The results also show that higher education levels and urban residence are consistently associated with lower fertility rates and are positively associated with contraceptive use. Other key predictors of fertility include: wealth status, and region of residence. CONCLUSION: The country needs to scale-up target interventions that are aimed at uplifting the education status of women and improving their economic wellbeing, because such interventions have a positive impact on fertility reduction and on improving maternal and reproductive health outcomes.
RESUMO
Objective To analyze the fertility rate and to estimate the future population size of Shaanxi province,based on data from the sixth national population census.Methods Fertility rate curve was used to analyze the fertility model and the abbreviated life table.The actual fertility rate was used as the main way to predict the future population size.General fertility rate was analyzed by factor analysis approach.Results The total fertility rate of Shaanxi province was 1.05 in 2010 while age-specific fertility rate contributed 101.27％ to the general fertility rate.The expected population sizes would be 38 122 474 in 2015,38 432 931 in 2020 and 38 121 904 in 2025 respectively.Conclusion Birthrate would become lower and the population size appearing a negative increase in the year 2020,in Shaanxi province.
