Search

Background Previous studies have shown that artificial light at night (ALAN) is associated with obesity in adults or school-aged children, however, without addressing the critical transition period from adolescence to young adulthood. Methods In this study, we recruited incoming students from five geographically dispersed universities across China whose mean ALAN (nanowatts/cm2/sec) during adolescence was obtained using remotely observed nighttime data matched with information on their residence. Body weight and height were measured in a field survey. A mixed generalized linear model assessed the association between ALAN levels and body mass index (BMI). Results A total of 19,344 participants were included with a mean age and BMI of 18.3 ± 0.7 years and 21.2 ± 3.0 kg/m2, respectively. Our findings indicated a significant association between ALAN levels during the past 6 years and BMI (β = 0.1, 95% CI: 0.06–0.14, p

Background: Relationship between daytime napping and the risk of depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and the depression risk.Methods: PubMed, Embase, Web of Science and China National Knowledge Infrastructure databases were searched through up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size.Results: Nine studies with 649,111 participants were included in the final analysis. The pooled odd ratio (OR) was 1.15 (95% confidence interval: 1.01-1.31) with a significant heterogeneity (I2=91.3%, P for heterogeneity < 0.001), and the results demonstrated an increasing risk of depression were observed among daytime nappers. Visual inspection of funnel plot, Egger’s and Begg’s tests identified no obvious evidence of publication bias.Conclusion: This meta-analysis indicates that daytime nap plays a predictor for depressive symptom. These findings might obtain important implications for depression prevention.

Background: Many studies have shown that visceral adiposity index (VAI) is valuable in the diagnosis of nonalcoholic fatty liver disease (NAFLD), but the accuracy of VAI in the diagnosis of NAFLD is not consistent. we aimed to assess the VAI as a predictor of NAFLD. Methods: The Cochrane Library, PubMed, Embase, and other databases were searched to collect all the documents that meet the inclusion criteria, The retrieval period is from the establishment of the database to September 2021. The methodological quality of the included studies was evaluated using the quadas-2 tool. The heterogeneity among the studies was analyzed by the Cochran-Q test and I2 test, and the appropriate model was selected according to the heterogeneity. The diagnostic efficacy of VAI was evaluated by meta-analysis and a Fagan diagram was drawn to evaluate the diagnostic ability of VAI.Results: A total of 9 studies were included. The overall quality of the included studies was good. Meta-analysis showed that the combined sensitivity (Sen combined) of VAI in the diagnosis of NAFLD was 0.70 [95% CI (0.69-0.71)], the combined specificity (Spe combined) was 0.67 [95% CI (0.67-0.68)], PLR combined was 2.08 [95% CI (1.87-2.31)], NLP combined was 0.39 [95% CI (0.34-0.44)], and DOR combined was 5.81 [95% CI (4.73-7.14)]. The corresponding AUC was 0.79 [95% CI (0.75-0.82)]. Meta-regression analysis showed that the gold index was a potential source of heterogeneity (P < 0.05). The Fagan diagram shows that the precision of NAFLD diagnosis is 70% when the pre-test probability is set to 50% and then supplemented by VAI.Conclusion: VAI has a certain value in the diagnosis of NAFLD and may be helpful in the early detection of NAFLD, but it still needed a large number of prospective studies to support this.

Background: A new member has been added to the Chinese MicroHand surgical robot family, developed based on the successful application of control algorithms. As a benefit of using these specialized control algorithms, the motion mapping relation can be built up without the help of a built-in image system, resulting in a novel Chinese domestic surgical robot with two arms called MicroHand SⅡ, which is different from the former MicroHand S and da Vinci systems. The analysis technique of clinical practise using the Chinese domestic surgical robot to perform sleeve gastrectomy is not well presented. In this study, we investigate the performance of a novel MicroHand SⅡ robotic platform in patients with obesity. Methods: From March 2018 to April 2019, a total of 7 patients affected by obesity were operated on with the robot-assisted technique using the MicroHand SⅡ surgical system. Data regarding demography, surgical procedure and the 3-month outcome postoperation were collected.Results: There were 2 female and 5 male patients with a mean age of 34.0±11.4 years. The mean operative time was 166.4 ±16.1 minutes. None were converted to open surgery. All anthropometry indices improved significantly at 3 months postoperatively.Conclusions: In conclusion, the Chinese domestic robot surgical system MicroHand SⅡ could be feasibly and safely applied in sleeve gastrectomy in patients with obesity. This robotic platform has presented its own obvious advantages.