Three-dimensional (3D) printed models represent educational tools of high quality compared with traditional teaching aids. Colored skull models were produced by 3D printing technology. A randomized controlled trial (RCT) was conducted to compare the learning efficiency of 3D printed skulls with that of cadaveric skulls and atlas. Seventy-nine medical students, who never studied anatomy, were randomized into three groups by drawing lots, using 3D printed skulls, cadaveric skulls, and atlas, respectively, to study the anatomical structures in skull through an introductory lecture and small group discussions. All students completed identical tests, which composed of a theory test and a lab test, before and after a lecture. Pre-test scores showed no differences between the three groups. In post-test, the 3D group was better than the other two groups in total score (cadaver: 29.5 [IQR: 25–33], 3D: 31.5 [IQR: 29–36], atlas: 27.75 [IQR: 24.125–32]; p = 0.044) and scores of lab test (cadaver: 14 [IQR: 10.5–18], 3D: 16.5 [IQR: 14.375–21.625], atlas: 14.5 [IQR: 10–18.125]; p = 0.049). Scores involving theory test, however, showed no difference between the three groups. In this RCT, an inexpensive, precise and rapidly-produced skull model had advantages in assisting anatomy study, especially in structure recognition, compared with traditional education materials.

Context: Zinc-a2-glycoprotein (ZAG) was found to influence lipolysis in adipose tissue and has recently been proposed as a candidate factor in the regulation of body weight. Objective: To elucidate the association of serum ZAG level with body weight and percentage of body fat in normal, obese subjects and high-fat diet (HFD)-induced obese mice. Design: The relationship between serum ZAG and obesity-related parameters was studied in 44 human subjects and 36 mice fed standard food and HFD. Furthermore, the effects of ZAG overexpression on adipose tissue of mice was also evaluated by using a liposome transfection method. Results: Serum ZAG level was significantly lower in obese patients and obese mice in comparison to that in people and mice with normal weight. The further statistical analysis demonstrated that ZAG level was negatively correlated with body weight (r ¼ À0.62, Po0.001), body mass index (r ¼ À0.64, Po0.001), waist circumference(r ¼ À0.68, Po0.001), hip circumference (r ¼ À0.60, Po0.001), percentage of body fat (r ¼ À0.52, P ¼ 0.03) and fat mass(r ¼ À0.59, P ¼ 0.01) in human subjects after adjustment for age and sex. Furthermore, ZAG overexpression in mice reduced body weight and the percentage of epididymal fat. The decreased FAS, ACC1 and DGAT mRNA and the increased HSL mRNA were also observed in epididymal adipose tissue in ZAG overexpression mice. Conclusion: ZAG is closely linked to obesity. Serum ZAG level is inversely associated with body weight and percentage of body fat. The action of ZAG is associated with downregulated lipogenic enzymes and upregulated lipolytic enzyme expressions in adipose tissue of mice.

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Background Realistic, portable, and scalable lectures, cadaveric models, 2D atlases and computer simulations are being combined more frequently for teaching anatomy, which result in major increases in user satisfaction. However, although digital simulations may be more portable, interesting, or motivating than traditional teaching tools, whether they are superior in terms of student learning remain unclear. This paper presents a study in which the educational effectiveness of a virtual reality (VR) skull model is compared with that of cadaveric skulls and atlases. The aim of this study was to compare the results of teaching with VR to results of teaching with traditional teaching methods by administering objective questionnaires and perception surveys. Methods A mixed-methods study with 73 medical students was conducted with three different groups, namely, the VR group (N = 25), cadaver group (N = 25) and atlas group (N = 23). Anatomical structures were taught through an introductory lecture and model-based learning. All students completed the pre- and post-intervention tests, which comprised a theory test and an identification test. The theory test consisted of 18 multiple-choice questions, and the identification test consisted of 25 fill-in-the-blank questions. Results The participants in all three groups had significantly higher total scores on the post-intervention test than on the pre-intervention test; the post-intervention test score in the VR group was not statistically significantly higher than the post-intervention test score of the other groups (VR: 30 [IQR: 22–33.5], cadaver: 26 [IQR: 20–31.5], atlas: 28[IQR: 20–33]; p > 0.05). The participants in the VR and cadaver groups provided more positive feedback on their learning models than the atlas group (VR: 26 [IQR: 19–30], cadaver: 25 [IQR: 19.5–29.5], atlas: 12 [IQR: 9–20]; p < 0.001). Conclusions The skull virtual learning resource (VLR) was equally efficient as the cadaver skull and atlas in teaching anatomy structures. Such a model can aid individuals in understanding complex anatomical structures with a higher level of motivation and tolerable adverse effects.

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Context Synchronous distance education (SDE) has been widely used for health science students in recent years. This study examined the effectiveness and acceptance of SDE compared with traditional education for health science students and explored the potential moderators that could impact the pooled results. Methods A systematic review and meta‐analysis was conducted of randomised controlled trials (RCTs) from January 2000 to March 2020 searched on nine electronic databases, including Web of Science, PubMed, Cochrane Library, Scopus, EMBASE, CINAHL, ERIC, PsycINFO, and ProQuest Dissertations and Theses. The outcomes measured were knowledge, skills with objective assessments and overall satisfaction with subjective evaluations. The pooled results were calculated using random‐model effects, and moderators were explored through meta‐regression. Results A total of seven RCTs with 594 participants were included. At the post‐test level, the pooled effect size of knowledge acquisitions (SMD 0.12, 95% CI −0.07‐0.32) showed insignificant difference between the SDE and traditional education groups (P = .207), with low heterogeneity (I2 = 17.6%). Subgroup analyses observed no factors that significantly impacted the pooled results of knowledge acquisition at the post‐test levels (P for interaction > 0.05). Knowledge gains from pretest to post‐test in SDE groups also did not differ significantly between groups (SMD 0.15, 95% CI −0.22‐0.53; P = .428). The pooled effect size of skills (SMD 0.02, 95% CI −0.24‐0.28; P = .735) was similarly insignificant. The pooled effect size of overall satisfaction (SMD 0.60, 95% CI 0.38‐0.83; P < .001) significantly favoured SDE over traditional education. Incorporating two‐group studies without randomisations did not significantly change the overall results of knowledge acquisition at the post‐test level (SMD −0.002, 95% CI −0.11‐0.10; P = .994), with moderate heterogeneity (I2 = 61.9%). Conclusions Synchronous distance education was not significantly different from traditional education in effectiveness and had higher satisfaction ratings. Our findings might provide indications for adoptions of online remote education in health science education centres.

Background:We aimed to assess the safety and efficiency of the novel sodium glucose co-transporter 2 (SGLT2) inhibitor in combinations with insulin for type 1 and type 2 diabetes mellitus (T1DM and T2DM).Methods:We searched Medline, Pubmed, Embase, and the Cochrane Collaboration Library from January 2010 to December 2016 without restriction of language. FDA data and Clinical Trials (http://www.clinicaltrials.gov) were also searched. Study selection, data extraction, and evaluation of risk of bias were performed by 2 persons independently. The risk of bias was assessed by Cochrance System Evaluate Method and Q test was used to evaluate the heterogeneity between studies. We used random effect model to analyze the results by Revman 5.3. This meta-analysis has been registered at online public registry PROSPERO (registration number is: CRD42017054718).Results:Nine trials including 3069 patients were analyzed. Compared with control group, SGLT2 inhibitor produced absolute reduction in glycosylated hemoglobin A1c (HbA1c) (MD −1.35%, 95% confidence interval [CI] [−2.36 to −0.34], P = .009), fasting plasma glucose (FPG) (MD −1.01 mmol/L, 95%CI [−1.98 to 0.04], P = .04), insulin dosage (MD −4.85 U/24 hours, 95%CI [−7.42 to −2.29], P = .002), and body weight (MD −2.30 kg, 95%CI [−3.09 to −1.50], P < .00001). But the risk of hypoglycemia (OR 1.18, 95%CI [0.86, 1.61], P = . 30) and urinary tract infection (UTI) (OR 1.34, 95%CI [0.79, 2.27], P = .28) were proved as no difference and genital tract infection (GTI) with SGLT2 inhibitors was higher than control group (OR 2.96, 95%CI [1.05, 8.37], P = .04), in which cases were mild and responded to the therapy. According to the subgroup analysis, SGLT2 inhibitors had a similar effect in effective factors of both T1DM and T2DM, but the risk of GTI mainly increased in T2DM versus T1DM (T1DM OR 0.27 [0.01, 7.19], P = .43 vs T2DM OR 4.28 [2.00, 9.16], P = .0002).Conclusion:SGLT2 inhibitors have improved the HbA1c, FPG, and body weight when combined with insulin and decreased the dose of insulin without increasing the risk of hypoglycemia. However, SGLT2 inhibitor was proved to be related to the events of GTI, despite SGLT2 inhibitors appeared to be well tolerated. We suggest that more monitoring should be done to prevent the events of GTI, and more randomized controlled trials should be planned next step.

Background: Macrosomia is associated with both neonatal complications and adult diseases (obesity, diabetes mellitus, etc.). Previous studies have reported maternal exposure to PM2.5 might influence metabolism and fetal development and cause adverse pregnancy outcomes. Studies conducted in areas with low PM2.5 concentration have found relationship between gestational PM2.5 exposure and birth weight. However, the impact of air pollution on macrosomia has not been studied, especially in highly polluted areas.Objective: To evaluate the association between fine particulate matter (PM2.5) exposure during pregnancy and the risk of macrosomia.Methods: Data from preconception health examination and prenatal and postnatal records were collected from 1 January 2010 to 31 December 2012 in the National Free Preconception Health Examination Project. Monthly mean of PM2.5 concentration during pregnancy was estimated from satellite data using an ensemble machine learning model. A newborn with birth weight above 4000 g was defined as macrosomia. Logistic regression models were used to examine the association between maternal exposure to PM2.5 and the risk of macrosomia, after adjusting for maternal age, pre-pregnancy body mass index, parity, neonatal sex, duration of gestation, seasonality, educational level, smoking and drinking habits, past history of diabetes mellitus and hypertension, and family history of diabetes mellitus. Restricted cubic spline models were used to evaluate the dose-response relationship between the risk of macrosomia and PM2.5 concentration. Results:Of 177 841 singleton nonlow birth weight newborns included, 14 598 (8.2%) had macrosomia. The mean PM2.5 concentrations were 70.7, 71.5, and 80.9 μg/m 3 in the first, second, and third trimesters. In full-adjusted logistic regression models, significant associations were found between increased risk of macrosomia and every 10 μg/m 3 increase of PM2.5 concentration over the first (odds ratio [OR]: 1.045; 95% CI, 1.037-1.052), second (OR: 1.035; 95% CI, 1.028-1.043), and third (OR: 1.033; 95% CI, 1.026-1.039) trimesters. There was a /journal/ijpo 1 of 7 nonlinear does-response association between PM2.5 concentration and the risk of macrosomia.Conclusions: Maternal exposure to PM2.5 during pregnancy was associated with an increased risk of macrosomia in China.