Objective: To study the correlation between short sleep duration and screening myopia among primary and middle school students in Beijing, so as to provide a scientific basis for the comprehensive prevention and control of myopia among students. Methods: Using a stratified cluster random sampling, 25 593 primary and middle school students from 16 districts of Beijing were selected from September to November 2023. The National Common Diseases and Health Influencing Factors Monitoring Survey Questionnaire was used to conduct a questionnaire survey, and visual acuity was tested according to the Specification for the Screening of Refractive Error in Primary and Middle School Students. The reporting rates of short sleep duration and detection rates of screening myopia among primary and middle school students were compared using the Chi square test. Binary Logistic regression was used to analyze the correlation between short sleep duration and screening myopia. Results: About 68.63% of students reported short sleep duration. There was a statistically significant difference in the reporting rate of short sleep duration among students in different school stages ( χ 2=981.18, P <0.01), with the lowest reporting rate of vocational high school students (47.07%) and the highest reporting rate of ordinary high school students (76.17%). The detection rates of screening myopia among primary school students ( 57.09% ) and middle school students (76.53%) who reported short sleep duration were higher than those who reported enough sleep duration (52.65%, 71.94%), with satistically significant differences ( χ 2=14.83, 17.96, P <0.01). The results of binary Logistic regression analysis showed that primary and middle school students with short sleep duration had a higher risk of developing screening myopia, compared to students with enough sleep duration ( OR =1.25); after adjusting for confounding factors such as educational stage, gender, region, boarding situation, primary and secondary school students with short sleep duration still had a higher risk of screening myopia ( OR =1.26) ( P <0.01). The analysis results stratified by educational stage showed that primary school students from grades 4-6 and middle school students with short sleep duration had a higher risk of screening myopia ( OR=1.18, 1.20, P <0.01). Conclusions Primary and secondary school students in Beijing with short sleep duration sleep have a higher risk of developing screening myopia. Families, schools, and society should ensure enough sleep duration to reduce the occurrence of myopia among students.

Background Per- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants widely used in various products, leading to population exposure and long-term accumulation. At present, there is a lack of research on the relationships between pre-pregnancy PFAS and menstrual characteristics among women undergoing assisted reproductive technology (ART) in China. Objective To explore the relationships between pre-pregnancy PFAS exposure among women undergoing ART and menstrual characteristics prior to assisted reproductive treatment. Methods This study employed a cross-sectional research design, recruiting women undergoing ART treatment at the Reproductive Clinic of the International Peace Maternity & Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, from 2017 to 2020 as study participants. Ultra-high-performance liquid chromatography-tandem mass spectrometry was used to detect 42 types of PFAS in pre-pregnancy serum samples. Questionnaires were administered to collect information on demographic characteristics, lifestyle habits, and menstrual characteristics (average menstrual cycle length, average menstrual period length, menstrual irregularities, and menstrual bleeding volume) of women undergoing ART. Multiple linear regression, binary logistic regression, and multinomial logistic regression analyses were performed to investigate the relationships between individual PFAS exposure before pregnancy and menstrual characteristics among ART women. Additionally, weighted quantile sum (WQS) model was applied to analyze the association between PFAS mixtures and menstrual characteristics. Results In the pre-pregnancy serum samples of the study population, 15 PFAS were detected in more than 60% of the samples, including perfluoroheptanoic acid (PFHpA), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), perfluorododecanoic acid (PFDoDA), perfluorobutanesulfonic acid (PFBS), perfluorohexanesulfonic acid (PFHxS), perfluoroheptanesulfonic acid (PFHpS), perfluorooctanesulfonic acid (PFOS), 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl-PFESA), 8:2 chlorinated polyfluorinated ether sulfonate (8:2 Cl-PFESA), perfluoro-2-propoxypropanoic acid (HFPO-DA), perfluoro-2-methoxyacetic acid (PFMOAA), and perfluoro-(3,5,7,9,11-pentaoxadodecanoic) acid (PFO5DoDA). Among them, PFOA had the highest median concentration of 9.160 ng·mL⁻¹. The single PFAS exposure analysis revealed a positive correlation between PFAS and irregular menstrual cycles. Specifically, for every natural-log unit (e) increase in PFOA, PFBS, or PFHxS level, the incidence of irregular menstrual cycles increased by 57%, 42%, or 39%, respectively. Most PFAS were positively correlated with the average number of menstrual cycle days, such as PFHpA (b=1.08, 95%CI: 0.11, 2.05), PFOA (b=1.69, 95%CI: 0.39, 3.00), PFBS (b=1.23, 95%CI: 0.25, 2.22), PFHxS (b=1.47, 95%CI: 0.61, 2.32), PFHpS (b=1.48, 95%CI: 0.35, 2.61), and 6:2 Cl-PFESA (b=0.90, 95%CI: 0.08, 1.72). Furthermore, levels of PFHpA (OR=1.39, 95%CI: 1.06, 1.82), PFOA (OR=1.58, 95%CI: 1.09, 2.30), PFBS (OR=1.37, 95%CI: 1.04, 1.80), PFHxS (OR=1.34, 95%CI: 1.05, 1.71), PFHpS (OR=1.53, 95%CI: 1.10, 2.14), and 6:2 Cl-PFESA (OR=1.34, 95%CI: 1.06, 1.70) were positively correlated with low menstrual blood volume, while PFOA (OR=0.40, 95%CI: 0.23, 0.71), PFHpS (OR=0.45, 95%CI: 0.29, 0.71), and HFPO-DA (OR=0.68, 95%CI: 0.48, 0.97) were negatively correlated with high menstrual blood volume. The mixed exposure model showed that PFAS mixtures were positively correlated with the average number of menstrual cycle days (b=1.60, 95%CI: 0.49, 2.71), irregular menstrual cycles (OR=1.77, 95%CI: 1.19, 2.63), and low menstrual blood volume (OR=1.59, 95%CI: 1.08, 2.35), but negatively correlated with high menstrual blood volume (OR=0.40, 95%CI: 0.22, 0.73). Conclusion Women undergoing ART in Shanghai are widely exposed to PFAS prior to conception. Exposure to PFAS before pregnancy may be related to menstrual characteristics among women seeking ART before undergoing fertility treatments, but additional data from larger populations are required to validate the findings of this study.

Objective: To explore the association between CDKAL1 rs35261542, FAIM2 rs 3205718, and VGLL4 rs 2574704 polymorphisms with childhood obesity and related metabolic phenotypes to provide evidence for personalized prevention and management strategies. Methods: Based on the 2023 Long term Nutritional Health Effects of Early Childhood Nutrition Package Intervention project, the study enrolled 1 078 children aged 5-7 years from four counties in Henan (Songxian and Ruyang countries) and Guizhou (Guiding and Fuquan countries) provinces. Using BMI Z scores, 87 overweight and obese(OVOB) children were selected and matched by sex, age, and BMI Z score with 117 normal weight controls. Participants were further stratified into four metabolic phenotype groups: metabolically healthy normal weight (MHNW, n =51), metabolically unhealthy normal weight (MUNW, n =66), metabolically healthy obesity (MHO, n =31) and metabolically unhealthy obesity (MUO, n =56) based on four conventional cardiometabolic risk factor (CR) criteria. Data were collected through questionnaires, anthropometric measurements, serum biochemical tests, and KASP genotyping. The distribution of three genetic polymorphisms ( CDKAL1 rs35261542, FAIM2 rs3205718, VGLL4 rs 2574704) across metabolic subgroups was analyzed. Multivariate Logistic regression models assessed associations between these polymorphisms and obesity/metabolic phenotypes. Results: Multivariate Logistic regression analysis showed that Homozygous mutant AA genotype of CDKAL1 rs 35261542 was positively associated with OVOB( OR =3.63), MHO ( OR =11.04), MUO ( OR = 4.88 ) ( P <0.05). Homozygous TT genotype of FAIM2 rs 3205718 increased OVOB risk ( OR =4.44, P <0.05) but showed no association with metabolic phenotypes ( P >0.05). Homozygous mutant TT of VGLL4 rs 2574704 reduced the risks of MHO and MUO ( OR = 0.30, 0.24， P <0.05). Cumulative genetic effects analysis demonstrated carriers of 1 or 2 risk genotypes of rs 35261542 and rs 3205718 had progressively higher OVOB risk ( OR =2.53, 20.79), and the combination of rs 35261542 and rs 2574704 increased risks for both MHO ( OR =8.50) and MUO ( OR =5.00) ( P <0.05). Conclusions The AA genotype of rs 35261542 ( CDKAL1 ) positively correlates with childhood obesity and metabolic abnormalities. The TT genotype of rs 3205718 ( FAIM 2) increases obesity risk but not metabolic phenotypes. The TT genotype of rs 2574704 ( VGLL 4) shows protective effects against metabolic dysfunction. Risk genotypes exhibit dosedependent cumulative effects on obesity and metabolic outcomes.

Objective: To analyze the association between alcohol consumption and lumbar disc herniation (LDH), so as to provide a reference for the development of prevention and treatment strategies for LDH. Methods: From May to July 2022, permanent residents aged ≥18 years from eight counties (cities/districts) in Gansu Province were selected using a multistage stratified random sampling method. Data on basic characteristics, alcohol consumption in the past 30 days, hypertension, and diabetes mellitus were collected through questionnaire surveys. LDH was determined based on imaging findings, combined with disease history or clinical symptoms. Multivariable logistic regression model was used to analyze the association between alcohol consumption and LDH, with subgroup analyses conducted by gender, age, ethnicity, and altitude of residence. Propensity score matching (PSM) was utilized for sensitivity analysis. Results: A total of 4 545 individuals were surveyed. There were 2 026 (44.58%) males and 2 519 (55.42%) females. The mean age was (44.82±15.33) years. The study participants were predominantly of Han ethnicity, with 2 598 persons accounting for 57.17%. The altitude of residence was mainly above 3 500 m, with 1 941 persons accounting for 42.71%. There were 574 alcohol drinkers, accounting for 12.63%. LDH was detected in 1 035 cases, with a detection rate of 22.77%. Multivariable logistic regression analysis showed that after adjusting for gender, age, physical activity, and hypertension, compared to non-drinking residents, alcohol-consuming residents exhibited a 27.6% reduction in the risk of LDH (OR=0.724, 95%CI: 0.544-0.963). No significant interaction effects on LDH risk were observed between alcohol consumption and gender, age, ethnicity, or altitude of residence (all Pfor interaction >0.05). The results of the sensitivity analysis indicated that compared to non-drinking residents, alcohol-consuming residents exhibited a 38.8% reduction in the risk of LDH (OR=0.612, 95%CI: 0.382-0.976). Conclusion Alcohol consumption was statistically associated with a lower risk of LDH.

[Abstract] [Objective] To investigate the clinical efficacy of intrauterine perfusion of different concentrations of platelet-rich plasma (PRP) in the treatment of thin endometrium. [Methods] A total of 35 cases of infertility patients who underwent autologous PRP intrauterine perfusion to improve thin endometrium from January 2022 to February 2024 at Run Run Shaw Hospital affiliated to Zhejiang University School of Medicine were selected as the study objects. The significance of intrauterine perfusion of PRP on endometrium thickening was evaluated by analyzing the difference in endometrial thickness before and after ovulation with different concentrations of PRP perfusion. The effect of PRP on thin endometrial infertility was evaluated by pregnancy outcome index. The influence of endometrial thickness on pregnancy outcome was evaluated by the difference of endometrial thickness between pregnant group and non-pregnant group after autologous PRP perfusion, and the correlation of each index was analyzed. [Results] Among 35 cases of infertility, the endometrial thickness was (4.77±0.87) mm before intrauterine PRP perfusion and (6.13±0.85) mm after intrauterine PRP perfusion, with statistically significant difference (P<0.05). The increased endometrial thickness was (1.03±0.31) mm, (1.31±0.47) mm and (1.70±0.85) mm in patients with low, medium and high concentration autologous PRP intrauterine perfusion respectively. The pregnancy outcome of 35 patients showed that a clinical pregnancy rate of 31.4% (11/35) and an early miscarriage rate of 0. Statistical analysis of the endometrial thickness during ovulation after PRP perfusion revealed that the endometrial thickness in the pregnant group was (6.64±0.91) mm while in the non-pregnant group it was (5.86±0.69) mm, with statistically significant difference (P<0.05). [Conclusion] Intrauterine perfusion of autologous PRP in patients with thin endometrial infertility is helpful for endometrial thickening, and PRP with high concentration of platelets is more effective, thus better improving pregnancy outcome, and has clinical significance for the treatment of thin endometrial infertility.

Objective: To analyze high myopia and dioptre changes in middle school students in Beijing from 2019 to 2022, so as to provide a basis for formulating preventive and control measures. Methods: Using stratified cluster random sampling, 16 districts of Beijing were divided into four groups, each of which was respectively composed of 83, 83, 84, and 84 middle schools, in order to examine non cycloplegic auto refraction among the senior grades 1 to 3 students from September to October in each year (from 2019 to 2022). Finally, the dataset results of each of the four groups (21 589, 21 161, 21 561, 21 123) were compared by the Chi square test and trend Chi square test. Trend changes were evaluated by annual percentage change (APC). Results: The rates of high myopia were higher in female students than in males from 2019 to 2022 (15.60%,14.59%; 15.33%, 14.44%; 14.65 %, 14.17%; 14.63%,13.84%), and the difference in 2019 was statistically significant ( χ 2=4.93, P <0.05). The rates of high myopia in middle school students in urban areas were significantly higher than those in rural areas(16.45%, 13.78%; 16.81 %, 13.00%; 15.84%, 13.06%; 15.85%, 12.72%), and the differences were statistically significant ( χ 2=30.18, 60.43, 33.92 , 42.23, P <0.05). With the increase of grade, the rates of high myopia increased ( χ 2 trend =674.56, 608.38, 655.21, 676.89, P <0.05), with junior grade 3 students being the most robust. The rate of high myopia in middle school students from 2019 to 2022 decreased from 15.09 to 14.22%, with an average annual rate of 2.08% ( APC=-2.08, t=-7.99, P ＜0.05). The refractive error of high myopia middle school students in 2019 and 2022 were -7.44(-10.25, -6.00) and -7.38(-10.00, -6.00)D, respectively, with no statistically significant difference ( H=4.30, P >0.05). Conclusions The rate of high myopia in middle school students in Beijing shows a decreasing trend, but it remains at a high level. It is necessary to classify the prevention and control strategy, and standardize the measures in order to manage early onset, high incidence rates, and severe myopia.

ObjectiveTo evaluate the effect of antihypertensive and lipid-regulating Chinese patent medicine combined with conventional Western medicine in the treatment of hypertension with dyslipidemia. To carry out the evidence synthesis of clinical research and provide evidence-based evidence support for clinical decision-making. MethodThe databases including China National Knowledge Infrastructure （CNKI），Wanfang Data Knowledge Service Platform （WF），VIP，SinoMed，Embase，PubMed，Web of Science （WOS），and the Cochrane Library were searched for randomized controlled trials （RCT） of all listed Chinese patent medicines in the treatment of hypertension with dyslipidemia from the establishment of the databases to April 15，2023. The literature was screened and extracted，and the risk of bias tool 2.0 （RoB2） was used to assess the quality and risk of bias of the methodology. Revman 5.4.1 software was used to analyze the outcome indicators. Grading of Recommendations Assessment，Development and Evaluation （GRADE） was applied to assess the quality of evidence formed by clinical research data. The inclusion and recommendation of Chinese patent medicines in the National Drug Catalogue for Basic Medical Insurance，Work-related Injury Insurance and Maternity Insurance （2022） and domestic guidelines and consensus were searched to form a bubble chart. ResultA total of 15 studies were included. The evaluation of the methodological quality of each study showed that the risk of bias stemmed from the lack of blinding and allocation concealment，and low sample size. The comprehensive analysis of clinical studies showed that Dengzhan Shengmai capsules combined with rosuvastatin and amlodipine besylate，Yindan Xinnaotong capsules combined with simvastatin and levamlodipine tablets，Xiaoshuan Tongluo capsules combined with nifedipine controlled release tablets and pravastatin sodium tablets，Xinshubao capsules combined with atorvastatin calcium tablets and irbesartan，Wenyading capsules combined with enalapril，and Jiangzhining tablets combined with conventional Western medicines were all superior to conventional Western medicines used in the control group in improving systolic blood pressure （SBP），diastolic blood pressure （DBP），cholesterol （TC），triglyceride （TG），low density lipoprotein cholesterol （LDL-C），and high density lipoprotein cholesterol （HDL-C）. There was no significant difference in the incidence of adverse reactions between the two groups. The GRADE evaluation of the main outcome indicators showed that the evidence quality of SBP and incidence of adverse reactions was graded as B，that of DBP as C，and that of total TC，TG，LDL-C，and HDL-C as D. The evaluation of Chinese patent medicines covered by medical insurance and recommended by guidelines and consensus showed that Yindan Xinnaotong soft capsules，Dengzhan Shengmai capsules and Xiaoshuan Tongluo capsules belonged to class B drugs of medical insurance，and were recommended for 7，6 and 3 times in the guidelines and consensus，respectively. ConclusionCompared with simple medicine treatment，Chinese patent medicine combined with conventional Western medicine has more advantages in improving blood pressure and blood lipid，and shows higher safety. Among them，Yindan Xinnaotong soft capsules，Dengzhan Shengmai capsules and Xiaoshuan Tongluo capsules have stronger clinical applicability and economy. All the trials included in this article adhered to the principle of randomization and reported the outcome measures. However，the quality of evidence in related clinical studies was low. In terms of trial design，large-sample，multi-center，blinded randomized controlled trials based on the consolidated standards of reporting trials （CONSORT） statement are still needed for comprehensive trial designs and reporting，to further improve the GRADE quality evaluation and guideline formulation under the guidance of evidence-based medicine，so as to provide higher quality evidence-based research evidence for clinical decision-making.

ObjectiveTo evaluate the quality of research and evidence related to antihypertensive Chinese patent medicines combined with western medicines for the treatment of hypertension， synthesize and update the evidence， form expert consensus， and provide evidence for clinical decision-making. MethodThe databases of China National Knowledge Infrastructure （CNKI）， WanFang Data Knowledge Service Platform （WanFang）， Vip Chinese Science and Technology Journal Database （VIP）， Chinese Biomedical Literature Service System （Sinomed）， National Library of Medicine （PubMed）， Cochrane Library， Web of Science， and US Clinical Trials Registry were searched for randomized controlled trials of antihypertensive Chinese medicine combined with western medicine for the treatment of hypertension from database construction to July 31， 2022. The quality of the literature was evaluated using the bias risk assessment tool in Cochrane Handbook 6.3. Evidence synthesis of main outcome indicators was performed using R software. The Grading of Recommendations Assessment， Development， and Evaluation profiler （GRADEprofiler） 3.6 was employed to evaluate the quality of evidence. Expert consensus was formed based on the Delphi method after two rounds of voting. Result64 pieces of literature were included， and the results of literature quality evaluation and risk of bias showed that 70.31% （45/64） of the studies indicated some risks， and 29.69% （19/64） indicated high risks. Compared with conventional western medicines， the combination of Chinese patent medicines with western medicines can significantly lower systolic pressure （SBP） and diastolic pressure （DBP）， increase the effective rate of antihypertensive， reduce the incidence of adverse reactions， endothelin-1， and traditional Chinese medicine syndrome scores. Egger's test showed that Songling Xuemaikang capsules reduced SBP and DBP. Tianma Gouteng granules reduced SBP and DBP and increased the effective rate of antihypertensive， and Xinmaitong capsules reduced SBP and increased the effective rate of antihypertensive， without significant publication bias. Songling Xuemaikang capsules increased the effective rate of antihypertensive， and Xinmaitong capsules decreased DBP， with significant publication bias. The results of the GRADE evidence quality evaluation showed that most evidence was at grades B and C. Finally， four strong recommendations and 14 weak recommendations were formed. ConclusionCompared with conventional western medicines for the treatment of hypertension， antihypertensive Chinese patent medicines combined with western medicines have advantages in reducing blood pressure and improving drug use safety， but they are mostly weak recommendations in terms of efficacy， and more high-quality evidence is needed.

ObjectiveTo systematically collect， analyze， and evaluate the randomized controlled trials （RCT） of Chinese patent medicine combined with western medicine in the treatment of hypertension， map the evidence， and provide reference for the future clinical research and formulation of guidelines and policies. MethodThe relevant articles were retrieved from China Biology Medicine disc， China National Knowledge Infrastructure （CNKI）， VIP， Wanfang Data， PubMed， Embase， and Cochrane Library with the time interval from inception to December 31， 2022. The RCT of Chinese patent medicines combined with western medicine in the treatment of hypertension were included. The research characteristics and methodological quality were analyzed and evaluated. ResultA total of 330 RCTs of treating hypertension with Chinese patent medicines combined with Western medicine were included in this study， all of which were published in Chinese. These RCTs involved 88 Chinese patent medicines and 37 788 patients， and 46% of RCT had the sample size ≥100 patients. Eighty-seven percent of RCT showed the study period within 3 months. All the interventions in the RCTs were Chinese patent medicine + western medicine vs western medicine. Among the evaluation indicators， blood pressure， response rate， TCM syndrome score， endothelial cell function， and safety were mainly concerned. In terms of methodological quality， most articles did not mention the generation of random sequences， allocation concealment， or blinding method. The blinding evaluation of outcomes showed low risks of bias， and there was insufficient information to judge whether there was selective bias or other bias. ConclusionThere were many Chinese patent medicines used in combination with western medicine in the treatment of hypertension， and they were mainly taken orally. The existing RCT had problems such as small sample size， unclear clinical value positioning， imperfect design failing to reflect the value of Chinese patent medicines， unreasonable measurement indicators， and non-standard measurement methods. Future research should solve the above problems， improve the research quality， value， and authenticity， and enhance the reliability and extension of evidence.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.