Objective: To investigate the exposure to television advertising of sugar sweetened beverages and the use of persuasive marketing techniques among children and adolescents in Beijing, so as to provide evidence for reduing childrens intake of sugar sweetened beverages. Methods: From October 19, 2020 to November 16, 2021, 32 days were randomly selected. The top four popular channels of children and adolescents aged 3-18 years were defined. Each channel was monitored from 6:00:00 to 23:59:59 for each date. A total of 2 304 h was recorded. Advertisements involving sugar sweetened beverages broadcast before, during or after the program were included. The frequency and the use of persuasive marketing techniques were analyzed. Results: A total of 1 237 advertisements for sugar sweetened beverages were included, of which 50.93% were dairy beverages, 28.38% were teabased beverages, and 19.48% were vegetable protein beverages. The average frequency of sugar sweetened beverages advertisements on every channel was (0.62±1.29)piece/h. The frequency of sugar sweetened beverages advertisements on every local channel [(1.04±1.35)piece/h] and childrens channel [(1.11±1.61)piece/h] was separately higher than every national channel [(0.48±1.24)piece/h] and general channel [(0.12±0.48)piece/h] (t=-14.05, 31.64, P<0.01). There were seasonal differences in television advertising of sugar sweetened beverages, and were more frequent during lunch and dinner times. The most frequently used persuasive marketing techniques were "images of children" (74.54%), "nutritional message" (61.76%), "product composition details" (58.61%), "nutrition claim" (57.24%), and "nutrition function claim or other function claim" (53.11%). Conclusions Children and adolescents are often exposed to television advertisement of sugar sweetened beverages on childrens channels and during meal times. There is an urgent need to formulate relevant policies to regulate the marketing of sugar sweetened beverages advertisement and reduce children and adolescents intake.

Objective:This study aimed to explore the clinical value of myostatin(MST) and follistatin(FST) as biological biomarkers in evaluating sarcopenia in elderly women.Methods:This was a retrospective cross-sectional study that enrolled 350 females aged 20-89 years who underwent physical examinations in Shanghai Huadong Hospital in 2021. Demographic characteristics, muscle mass, fat mass, bone mineral density, hand grip strength, gait speed, and serum indices of MST and FST were collected.Results:The serum levels of MST did not change significantly with age. However, the serum levels of FST increased with age. In women aged≥60 years, MST was positively correlated with total lean mass and appendicular skeletal muscle index(ASMI; r=0.236, P=0.041; r=0.289, P=0.014), while FST was negatively correlated with ASMI( r=-0.265, P=0.030). In multivariate stepwise regression analysis, after adjusting for age, body mass index, hip bone mineral density, and total fat mass, only FST was independently correlated with ASMI( β=-0.238, P=0.006), while MST was not correlated with ASMI. The receiver operating characteristic curve was plotted using muscle mass reduction as the state variable and serum FST level as the test variable. The area under the curve was 0.753. And when the FST cutoff value was 17.49 ng/mL, the maximum Jordan index was 0.46, with a sensitivity of 77.3% and a specificity of 68.7%. Women aged ≥60 years were divided into three groups based on serum FST levels. Compared to the upper third of the serum FST level group, the low third of the FST level group had a significantly reduced risk of suffering from sarcopenia( OR=0.098, P =0.036). Conclusions:Serum FST lever has a better correlation with muscle mass among elderly women, making it a promising biomarker for evaluating muscle mass.

Objective: To examine the exposure to television advertising of unhealthy food among children and adolescents in Beijing, in order to provide a basis for the formulation of marketing management policies with unhealthy food. Methods: Four weekdays and four weekend days were randomly selected during October 19, 2020 to January 17, 2021, excluding holidays and school holidays. The top five popular channels of children and adolescents aged 3 to 18 years old were selected. A total of 720 hours was included for coding and analysis. World Health Organization Nutrient Profile Model for the Western Pacific Region was used to classify food and assess the health level. Results: A total of 13 864 advertisings (ads) was monitored, 38.8% (5 376) of which were food ads. Furthermore, 49.9% (2 680) of food ads were unhealthy food ads, with a frequency of 2.00 per hour per channel. The top five most frequent food ads were infant formula for 12-36 months (26.7%), cheese (16.7%), savory snacks (12.2%), milk drinks (10.5%) and chocolate and candy (6.0%). The most frequently used marketing strategies for unhealthy food ads were brand benefit claims (96.8%) and promotional characters (67.9%). Conclusion Children and adolescents in Beijing are highly exposed to TV marketing of unhealthy foods. Marketing strategies such as brand benefit claims and promotional characters are employed to boost the impact of unhealthy food ads. There is an urgent need to introduce relevant policies to regulate TV marketing of unhealthy foods.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

3D bioprinting technology is a rapidly developing technique that employs bioinks containing biological materials and living cells to construct biomedical products. However, 3D-printed tissues are static, while human tissues are in real-time dynamic states that can change in morphology and performance. To improve the compatibility between in vitro and in vivo environments, an in vitro tissue engineering technique that simulates this dynamic process is required. The concept of 4D printing, which combines "3D printing + time" provides a new approach to achieving this complex technique. 4D printing involves applying one or more smart materials that respond to stimuli, enabling them to change their shape, performance, and function under the corresponding stimulus to meet various needs. This article focuses on the latest research progress and potential application areas of 4D printing technology in the cardiovascular system, providing a theoretical and practical reference for the development of this technology.
Humans ; Tissue Engineering/methods* ; Bioprinting/methods* ; Printing, Three-Dimensional ; Cardiovascular System ; Tissue Scaffolds

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.

The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk classification of sudden cardiac death and the screening of family genetic diseases. This research proposed a HCM automatic detection method based on convolution neural network (CNN) model, using single-lead electrocardiogram (ECG) signal as the research object. Firstly, the R-wave peak locations of single-lead ECG signal were determined, followed by the ECG signal segmentation and resample in units of heart beats, then a CNN model was built to automatically extract the deep features in the ECG signal and perform automatic classification and HCM detection. The experimental data is derived from 108 ECG records extracted from three public databases provided by PhysioNet, the database established in this research consists of 14,459 heartbeats, and each heartbeat contains 128 sampling points. The results revealed that the optimized CNN model could effectively detect HCM, the accuracy, sensitivity and specificity were 95.98%, 98.03% and 95.79% respectively. In this research, the deep learning method was introduced for the analysis of single-lead ECG of HCM patients, which could not only overcome the technical limitations of conventional detection methods based on multi-lead ECG, but also has important application value for assisting doctor in fast and convenient large-scale HCM preliminary screening.
Algorithms ; Cardiomyopathy, Hypertrophic/diagnosis* ; Databases, Factual ; Electrocardiography ; Heart Rate ; Humans ; Neural Networks, Computer

Objective:To investigate the preference for Front-of-Pack Labeling (FOP) and its association with the understanding of the Nutrition Facts Panel among Chinese residents.Methods:A multi-stage sampling strategy was adopted to select 3 002 people aged between 18 and 70 years old from the eastern region of China (Beijing, Jiangsu Province, Guangdong Province), the northeast region (Heilongjiang Province), the central region (Henan Province) and the western region (Sichuan Province) from July 2020 to March 2021. Socio-demographic characteristics of participants and their understanding of the Nutrition Facts Panel and preference for FOP were collected. The χ2 test was conducted to compare the preference for FOP in different groups of population, and multivariate logistic regression was used to analyze the association between the preference for FOP and the understanding of the Nutrition Facts Panel. Results:The mean age of 3 002 participants was (42.3±13.4) years, of which 1 914 (63.8%) were females and 69.3% could not understand the Nutrition Facts Panel. About 2 458 respondents (81.9%) suggested that FOP could be promoted. The top three nutrients that should be labeled were sugar (68.4%), salt (68.2%) and total fat (62.4%). The number of participants who believed that the Multiple Traffic Lights (MTL) could be easier to help consumers to quickly choose healthy food, attract attention and provide the most needed information was 1 064 (35.4%), 1 026 (34.2%) and 1 140 (38.0%), respectively. The multivariate logistic regression analysis showed that, compared with the Guideline Daily Amount (GDA) system, participants who could not understand the Nutrition Facts Panel preferred (1) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could quickly help you choose food more easily?"[ OR (95% CI): 2.21 (1.62-3.02), 1.64 (1.22-2.22), 1.79 (1.31-2.45), respectively]; (2) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could attract your attention the most?"[ OR (95% CI): 2.62 (1.92-3.59), 1.96 (1.45-2.66), 2.25 (1.66-3.04), respectively]; and (3) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could provide you with the most needed information?"[ OR (95% CI): 2.33 (1.70-3.21), 2.21 (1.66-2.95), 2.01 (1.50-2.71), respectively]. Conclusion:The residents from six provinces in China have a supportive attitude towards FOP. The interpretive FOP with color information, specific nutrient information and summary indicator can be launched. The nutrition information of sugar, salt and total fat could be prioritized to be labeled on the FOP.

Objective:To investigate the preference for Front-of-Pack Labeling (FOP) and its association with the understanding of the Nutrition Facts Panel among Chinese residents.Methods:A multi-stage sampling strategy was adopted to select 3 002 people aged between 18 and 70 years old from the eastern region of China (Beijing, Jiangsu Province, Guangdong Province), the northeast region (Heilongjiang Province), the central region (Henan Province) and the western region (Sichuan Province) from July 2020 to March 2021. Socio-demographic characteristics of participants and their understanding of the Nutrition Facts Panel and preference for FOP were collected. The χ2 test was conducted to compare the preference for FOP in different groups of population, and multivariate logistic regression was used to analyze the association between the preference for FOP and the understanding of the Nutrition Facts Panel. Results:The mean age of 3 002 participants was (42.3±13.4) years, of which 1 914 (63.8%) were females and 69.3% could not understand the Nutrition Facts Panel. About 2 458 respondents (81.9%) suggested that FOP could be promoted. The top three nutrients that should be labeled were sugar (68.4%), salt (68.2%) and total fat (62.4%). The number of participants who believed that the Multiple Traffic Lights (MTL) could be easier to help consumers to quickly choose healthy food, attract attention and provide the most needed information was 1 064 (35.4%), 1 026 (34.2%) and 1 140 (38.0%), respectively. The multivariate logistic regression analysis showed that, compared with the Guideline Daily Amount (GDA) system, participants who could not understand the Nutrition Facts Panel preferred (1) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could quickly help you choose food more easily?"[ OR (95% CI): 2.21 (1.62-3.02), 1.64 (1.22-2.22), 1.79 (1.31-2.45), respectively]; (2) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could attract your attention the most?"[ OR (95% CI): 2.62 (1.92-3.59), 1.96 (1.45-2.66), 2.25 (1.66-3.04), respectively]; and (3) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could provide you with the most needed information?"[ OR (95% CI): 2.33 (1.70-3.21), 2.21 (1.66-2.95), 2.01 (1.50-2.71), respectively]. Conclusion:The residents from six provinces in China have a supportive attitude towards FOP. The interpretive FOP with color information, specific nutrient information and summary indicator can be launched. The nutrition information of sugar, salt and total fat could be prioritized to be labeled on the FOP.

In this paper,we have made a preliminary analysis on the necessity,main contents and difficulties in teaching medical undergraduates the principles and applications of optogenetics experimental technology.We focused on theory and practice teaching and emphasized on the most important technological principles,including how to achieve selective intervention of specific neural pathways;how to achieve twoway control of cell excitation or inhibition effect and the main process of the experiment.Finally,we have summarized our recent experience in the teaching process,to provide reference for basic medical experiments teaching in related medical colleges,so as to promote optogenetics experimental teaching for undergraduates in domestic medical colleges.