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Upregulation of LINC01503 promotes cervical cancer malignancy further advancement by targeting the miR-615-3p/CCND1 axis.
Background Although the prevalence of abdominal obesity and metabolic syndrome has been widely studied in the adult population, little is known about it in children and adolescents especially in developing countries. This study aimed to determine the prevalence of abdominal obesity and metabolic syndrome among children and adolescents in Yazd Greater Area, Iran; over the period of 2016-2017. Methods This study was part of a larger national study with a cross-sectional design. Using multistage cluster random sampling method, 1035 children, and adolescents of both sexes aged 6-18 yr were randomly selected from rural and urban districts in Yazd Greater Area, Iran. Components of metabolic syndrome, and anthropometry measured in the standard situation. Results The prevalence of abdominal obesity in children 6-10 yr old was 13.2% in boys versus 24.7% in girls. The overall prevalence of metabolic syndrome according to International Diabetes Federation (IDF) criteria in adolescents aged 10-18 yr old was 7.6% (9.4% in boys). The most prevalent metabolic syndrome components were low HDL-cholesterol (56.2%) and abdominal obesity (27.8%). Conclusion Comparatively, the prevalence of metabolic syndrome in Yazd is high. Low HDL-cholesterol levels and abdominal obesity were the most common component, and family history of heart disease, BMI, and male gender were the main determinants of metabolic syndrome in adolescents.Background This study aimed to identify the prevalence and potential factors associated with Entamoeba gingivalis in adolescents in the city of Kerman, southeastern Iran, 2017. Methods In this descriptive cross-sectional study, 315 adolescents (mean age; 15 yr) consisting of 189 males and 126 females were randomly selected. For each adolescent, two specimens were collected for culturing and examination by polymerase chain reaction (PCR). Univariate and multivariate logistic regression models were performed to explore any association with demographic and clinical variables. Results The prevalence of E. gingivalis was 11.7%. Totally, 30 (15.9%) males and 7 (5.6%) females were infected with E. gingivalis. The rate of infection in males was 2.8 times higher than that in females (P less then 0.001). Statistical analysis identified 4 major factors including sex (OR=4.12, P less then 0.001), gingival index with severe inflammation (OR = 50, P less then 0.001), Candida spp. infection (OR=4.41, P less then 0.001) and decay-missing-filled teeth [DMFT (OR=3.27, P less then 0.001)]. In contrast to the aforementioned factors, adolescents with history of antibiotic consumption were significantly protected from E. gingivalis infection (OR= 3.24, P less then 0.001). Culture media detected 9.2% (n= 29), whilst PCR identified 11.4% (n= 36) of infection. Conclusion The present findings clearly demonstrate a positive association between E. gingivalis and distinct demographic and clinical risk determinants. Therefore, dental practitioners and health surveillance personnel should be aware of these confounding factors to rigorously detect and critically manage oral health issues in school-age children in order to prevent or at least minimize the eventual periodontal complications in later life.Background Survival time is one of the indicators used for evaluation of the quality of care in different types of malignancies, including breast cancer. The present study aimed to estimate the survival rate of breast cancer and its related factors among Iranian patients. Methods Overall, 3148 cases of breast cancer who referred to the Cancer Research Center in Shahid Beheshti University of Medical Sciences, Tehran, Iran during 1994-2017 participated in this longitudinal study. Survival estimates were calculated using the Kaplan-Meier method and the Bayesian generalized Birnbaum-Saunders model with cure rate from geometric distribution. Clinical, pathological, and biological variables as potential prognostic factors were entered in univariate and multivariate analyses.In order to identify the significant prognostic factors, 95% highest posterior density (HPD) intervals were used. Results The overall 1, 5, 10, 15, 20 and 25-year survival rate were 95%, 75%, 60%, 47%, 46% and 46%, respectively. A significant relation was observed between survival time and the variables such as age, size of tumor, number of lymph nodes, stage, histological grade, estrogen receptor, progesterone receptor, and lymphovascular invasion. Conclusion The findings of this study might help the health managers to plan long-term programs considering regional determinants, public education, and screening for early detection of breast cancer cases which can eventually influence the overall survival rate of these patients.Background This study was conducted to evaluate the success rate of male infertility treatment and the factors affecting its outcome. Methods In a historical cohort study, from Mar 2013 to Mar 2014, 323 couples with male factor were investigated. Couples had treated with IUI or/and ICSI were included randomly. Assisted reproduction technology (ART) outcome (treatment success) was defined as a live birth. Age, duration of infertility, type of infertility, treatment history and clinical examination results were investigated. The logistic regression and survival analysis were applied. Results The average of men age, duration of infertility and BMI were 33.5, 4.7 (yr) and 26.6 (kg/m2) respectively. 87.9% of men have primary infertility and average duration of treatment was 14.1(month). Previous treatment, type of infertility, treatment method, man's BMI, normality of sperm and sperm head were important variable that affecting outcome. The rate of live birth in the first attempt was 29.7%, and 44.9% of the couples succeeded to give live birth after several treatment cycles. PF-02341066 Couples who had no previous history of treatment were 8.5 times more successful in live birth. The Cox analysis showed that "BMI of man" and percentage of "Sperm with normal head" are predictors that had a significant effect on live birth. Conclusion Live birth in the first treatment cycles was influenced by four variables but two other variable were affecting several treatment cycles outcome. The chances of successful treatment were higher with taking into account the length of time and having live birth was determined as 78% for five years of continuous treatment.
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