ABSTRACT
Objective@#To investigate the prevalence of diabetes among individuals at high risk of diabetes in Baoshan District, Shanghai Municipality, so as to provide insights into community-based diabetes management. @*Methods@#Permanent residents at ages of 35 years and older were sampled from Baoshan District using a multistage stratified cluster sampling method, and residents at a high risk of diabetes were screened using the Form for Risk Assessment of Diabetes among Community Residents in Shanghai Municipality. Participants' demographics, disease history and history of medication were collected using questionnaire surveys, and height, body weight, waist circumference, hip circumference, and blood pressure were measured. Diabetes was screened using fasting blood glucose and glucose tolerance test. The factors affecting the development of diabetes were identified among high-risk residents for diabetes using a multivariable logistic regression model.@*Results@#A total of 3 107 residents at a high risk for diabetes were enrolled, including 1 165 men (37.50%) and 1 942 women (62.50%) with a mean age of (63.58±9.77) years. The prevalence of diabetes was 21.69% among the study subjects, and multivariable logistic regression analysis showed that men (OR=1.689, 95%CI: 1.357-2.104), age (40 years-, OR=4.833, 95%CI: 1.036-22.553; 50 years-, OR=2.627, 95%CI: 1.432-4.819; 60 years-, OR=1.551, 95%CI: 1.119-2.150; 70 years and older, OR=1.579, 95%CI: 1.232-2.025); high school/technical secondary school (OR=2.677, 95%CI: 1.636-4.380), overweight/obesity (OR=1.891, 95%CI: 1.447-2.472), hypertension (OR=1.306, 95%CI: 1.049-1.626), dyslipidemia (OR=1.428, 95%CI: 1.114-1.831), history of impaired glucose regulation (OR=15.161, 95%CI: 11.827-19.434) and family history of type 2 diabetes mellitus (OR=2.092, 95%CI: 1.619-2.704) caused an increased risk of diabetes among residents at a high risk diabetes.@*Conclusions@#The prevalence of diabetes was 21.69% among high-risk populations of diabetes in Baoshan District. Gender, age, educational level, overweight/obesity, hypertension, dyslipidemia, history of impaired glucose regulation and family history of type 2 diabetes mellitus are factors affecting the development of diabetes among high-risk populations.
ABSTRACT
BACKGROUND: Effects of 17beta-estradiol and progesterone on rhesus monkey oocyte maturation in vitro were evaluated by embryo development subsequent to IVF. METHODS AND RESULTS: In experiment 1, immature cumulus-oocyte complexes collected from unstimulated adult females during the non-breeding season were matured in modified medium CMRL-1066 containing various combinations of gonadotrophins (FSH + LH), estradiol and/or progesterone. Formation of morulae and blastocysts was greatest in oocytes matured in medium containing estradiol and/or progesterone, with or without gonadotrophins (morula 38-46%, blastocyst 14-20%) than in control oocytes matured without estradiol or progesterone (morula 14%, blastocyst 0%). In experiment 2, cumulus-oocyte complexes from unstimulated prepubertal female monkeys were matured in medium with gonadotrophins, estradiol or progesterone. The best development to the morula stage was obtained with oocytes matured with gonadotrophins and estradiol or gonadotrophins and progesterone (43 and 25 morulae, respectively), while control oocytes matured with gonadotrophins but without steroid hormones gave the poorest morula developmental response (12%). However, there was no difference in blastocyst development across all groups (0-3%). CONCLUSIONS: These results demonstrate that during rhesus monkey oocyte maturation in vitro: (i) estradiol or progesterone can improve oocyte developmental competence; (ii) immature oocytes from prepubertal versus adult females have differential responses to challenge with estradiol or progesterone.