Objective To investigate the consistency of fetal gallbladder volume (FGV) during middle-late pregnancy with three-dimensional ultrasonic virtual organ computer-aided analysis (VOCAL) technique at different rotation angles,and to analyze the correlation between FGV and gestation age.Methods A total of 157 healthy pregnant women underwent prenatal screening were included.The reference range of FGV was measured with three-dimensional ultrasonic VOCAL at 30°,18° and 12° rotation angle,respectively.The correlation between FGV and gestation age was observed,and the consistency of FGV values measured with VOCAL at different rotation step angles was compared.Results The correlations between FGV values measured with VOCAL at 30°,18°,12° rotation step angles and gestation age were all excellent (r=0.92,0.88,0.90;all P＜ 0.001).The consistency of FGV values measured with VOCAL at different rotation step angles was very good (30° and 18°,ICC=0.94;30° and 12°,ICC=0.97;18° and 12°,ICC=0.94).Conclusion Three-dimensional ultrasonic VOCAL can be used to establish the reference range of fetal gallbladder volume in middle-late pregnancy.The consistency of FGV values measured with VOCAL at different rotation step angles was very good,and the correlation between FGV and gestation age was excellent.

Objective: To analyze the relationship between family behaviors and overweight/obesity in primary and junior school students aged 6-14 years in Xuzhou, and to provide a reference for a targeted measure to prevent and control overweight and obesity. Methods: Using multistage stratified cluster random sampling, a total of 6 220 students aged 6-14 years old from 10 primary schools and 10 junior schools were investigated by a self-designed questionnaire. Chi-square and multivariate Logistic regression models were used to explore the relationship between family behaviors and overweight/obesity in primary and junior school students. Results: The rate of overweight/obesity in primary and junior boys was higher than that in primary and junior girls. The rate of overweight/obesity in urban students was higher than that of rural students(P<0.05). The Chi-square analysis showed that overweight of parents, irregular breakfast, eating fast food, eating sweets, drinking sweetened beverage, long screen time and short sleep duration were risk family behavior factors of overweight/obesity in primary and junior boy students(P<0.05). The risk family behavior factors of overweight/obesity in primary and junior girl students were overweight of parents, irregular breakfast, eating fast food and eating sweets(P<0.05). The risk family behavior factors of overweight/obesity, such as drinking sweetened beverage and short sleep duration, were also related to primary girls(P<0.05), and long screen time was related to junior girls(P<0.05). The multivariate Logistic regression showed that such family behavior factors as irregular breakfast(OR-boy=1.58, OR-girl=1.74), eating fast food(OR-boy=1.37, OR-girl=1.11), eating sweets(OR-boy=1.85, OR-girl=1.52), drinking sweetened beverage(OR-boy=1.64, OR-girl=1.33) and short sleep duration(OR-boy=1.56, OR-girl=1.69) were positively correlated with the prevalence of overweight/obesity in primary students. Long screen time was also correlated to overweight/obesity primary boy students(OR=1.18). Family behavior factors for child overweight and obesity induded overweight of parents(OR-boy=1.29, OR-girl=1.23) and eating sweets(OR-boy=1.44, OR-girl=1.51). Irregular breakfast(OR=1.51), eating fast food(OR=1.22), drinking sweetened beverage (OR=1.75) and long visual screen time (OR=1.15) were also positively correlated with the prevalence of overweight/obesity in junior boy students. Conclusion Family behavior factors were positively correlated with the prevalence of overweight/obesity in primary and junior students. The influence of family behavior factors were different between primary and junior students. Behavioral interventions based on family should be adopted to prevent and control the overweight/obesity of children.

Objective To analyze the relationship between sleep duration, screen viewing time, and the prevalence of overweight/obesity among primary school students in Xuzhou. Methods Using a cluster sampling method, a total of 3 228 students (including 1 679 boys and 1 549 girls with an average age of 10.78±0.69 years) from grade one to six from 10 primary schools in Xuzhou underwent interview using a self?designed questionnaire containing basic characteristics, sleep duration, and screen viewing time. Data on height and weight were also collected. The relationship between sleep duration, screen viewing time, and overweight/obesity was analyzed using a logistic regression analysis. Results The prevalence rates of overweight among boys and girls were 16.56% and 11.94%, respectively (χ2=13.59, P<0.05). The prevalence rates of obesity among boys and girls were 14.47% and 10.07%, respectively (χ2=14.01, P<0.05). In total, 74.41% students reported a lack of sleep; the average sleeping time was (9.24±1.07) h. The average sleeping time among boys was (9.35 ± 1.12) h and among girls was (9.13 ± 1.03) h. The difference in sleep duration between boys and girls was significant (t=5.79, P<0.05). The differences in sleep duration and overweight/obesity were significant between both boys (χ2=18.62, P<0.05) and girls (χ2=21.14, P<0.05). Regarding screen viewing time, 17.29% of students spent more than 2 hours per day viewing a screen. The difference in screen viewing time between boys and girls was significant (Z=3.02, P=0.014). The proportion of children with screen viewing time of more than 2 h/d among overweight/obese and healthy weight male students was 29.50% (82/278) and 22.56% (316/1401), respectively, which was significantly different (χ2=6.18, P=0.01). However, there was no significant difference when examining the same groups among girls (12.98% (24/185;obese/overweight) vs . 9.97% (136/1364; healthy weight); χ2=1.59, P=0.21). After adjusting for parental obesity, eating sweets, and physical activity, logistic regression analysis showed that students who had a sleep duration less than 10 h/d had an odds ratio of 1.4 (95% CI: 1.15-1.71), the odds ratio for boys and girls was 1.56 (95% CI: 1.13-2.14) and 1.69 (95% CI: 1.15-2.46). The students who had a screen viewing time of more than 2 h/d had an odds ratio of 1.14 (95% CI: 1.05-1.80); the odds ratio for boys in this group was 1.18 (95% CI: 1.03-1.67). Conclusion Short sleep duration is a risk factor for being overweight/obese in both boys and girls. However, long screen viewing times were associated with being overweight/obese only in boys.