Objective: To analyze the issuance of Chinese adolescents mental health promotion policies and policy objects, and to explore the use of different object policy tools and the effectiveness of the policy, so as to provide reference for the improvement of the subsequent policy. Methods: Adolescents mental health promotion policies published and policy documents that included adolescents in mental health promotion policies and regulations in China from 2014 to the present were obtained, with the search period of July to August 2024. Policy content and effectiveness were analyzed by using content cross tabulation analysis and Policy Modeling Consistency Index Model (PMC index model). It coded with Nvivo 20 software to understand the types of tools that policy depends on. Results: A total of 41 documents were included. The number of adolescent mental health promotion policy texts rose by year, most of which were issued independently, accounting for 70% of the total number of texts issued; 30% were jointly issued, with the Ministry of Education and the National Health Commission as the core subjects. Supply type policy tools accounted for 47.45 % of the total, while environment type and demand type policy tools accounted for 29.68% and 22.87% respectively; the use of policy tools by different policy targets varies, with families and social organizations using more supply type and demand type policy tools, while the education system and healthcare institutions were more inclined to supply type policy tools, and the government departments were more inclined to supply type policy tools and environment type policy tools. In terms of policy effectiveness, there was a common problem of a lack of incentives and constraints, and the PMC values of two long term planning mental health policies were high (7.76, 7.56), and both reached the excellent level. Conclusions China has paid more attention to adolescents mental health, and the basic guarantees have been established and overall policy effectiveness is good, but the use of policy tools is uneven. There is a need to improve the operational content of medium and long term policies and to strengthen synergies between implementing departments.

Cardiometabolic disease is one of the leading causes of morbidity and mortality in adults. In recent years, the prevalence of cardiometabolic disease has increased year by year, becoming a major problem in the global disease burden. The occurrence and development of cardiometabolic risk are affected by many factors. Shift work as an occupational hazard has been widely concerned. Nurses are a typical population for shift work, but few studies have looked at the association between their shift work and cardiometabolic risk. This article reviewed the current situation of cardiometabolic risk and the research progress on the association between shift work and cardiometabolic risk among nurses. The results showed that cardiometabolic risk is prevalent in the nurse population. Shift work is associated with cardiometabolic risks such as metabolic syndrome, cardiovascular disease, diabetes, and dyslipidemia, and is mediated by circadian rhythm disorder, hormone secretion disorder, and stress response. However, the causal relationship between shift work and cardiometabolic risk is still unclear, and further prospective cohort studies should be conducted to improve the understanding of the impact of shift work on cardiometabolic risk in order to improve the cardiometabolic health status of nurses.

Objective: To analyze the association and dose response relationship between physical activity and inflammatory markers in college students, so as to provide a reference for promoting cardiometabolic health in college students. Methods: A cluster random sampling method was used to select 747 college students from two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province from April to May 2019. Physical activity was assessed by using the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and peripheral blood was collected to detect plasma inflammatory factor levels [including hypersensitive C reactive protein (hsCRP), interleukin-10 (IL-10), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α)]. The differences between the groups were compared by using the χ 2 test and the Kruskal-Wallis rank sum test, and the association between physical activity and inflammatory markers was analyzed by using the Generalized Linear Model. The dose response relationship between physical activity and inflammatory markers was analyzed using the Restricted Cubic Spline Model. Results: The proportions of low physical activity, moderate physical activity, and high physical activity groups of college students were 15.9%, 53.7% and 30.4%, respectively. The levels of hsCRP, IL-10, IL-1β, IL-6 and TNF-α in the high physical activity group were 0.38(0.21, 1.10)mg/L, 70.74(47.90, 116.43)pg/mL, 1.75(1.21, 2.64)pg/mL, 4.33(2.93, 6.82) pg/mL , 5.27(3.89, 7.30)pg/mL,the levels in the low physical activity group were 0.80(0.31, 1.30)mg/L, 73.88 (47.90, 124.24)pg/mL, 1.88(1.42, 2.81) pg/mL, 4.82 (3.64, 6.67) pg/mL, 5.63 (4.34, 7.62)pg/mL, the levels in the moderate physical activity group were 0.63(0.25, 1.30)mg/L, 89.78(58.21, 127.65)pg/mL, 2.21(1.59, 3.27)pg/mL, 5.15( 3.72 , 7.72)pg/mL, 5.87( 4.63 , 8.00)g/mL, and the differences were statistically significant ( H=10.66, 11.38, 27.79, 14.13, 9.44, P <0.05). After adjusting for variables such as gender, body mass index, smoking, alcohol consumption and health status, the results of Generalized Linear Model showed that compared with the high physical activity group, the low physical activity group ( OR=2.20, 95%CI = 1.46- 3.31) and the moderate physical activity group ( OR=1.65, 95%CI =1.22-2.25) were more likely to have high levels of hsCRP, and the moderate physical activity group was more likely to have high levels of IL-1β ( OR=1.85, 95%CI =1.36-2.51), IL-6 ( OR=1.44, 95%CI =1.06-1.96), and TNF-α ( OR=1.43, 95%CI =1.05-1.94) ( P <0.05). The Restricted Cubic Spline Model showed that there was no linear dose response relationship between the time of moderate to vigorous physical activity weekly and IL-10, IL-6, II-1β, and TNF-α ( P <0.05). Conclusion There is an association between physical activity and inflammation in college students, and moderate to high intensity per week could reduce inflammation levels to promote cardiometabolic health in college students.

Objective To explore the relationship between serum microRNA-124(miR-124),CD146,angio-poietin-like protein 2(Angptl2)and the stability of carotid atherosclerosis(CAS)plaque in patients with a-cute cerebral infarction(ACI),and to provide reference for early prevention and treatment of patients with ACI.Methods A total of 191 patients with ACI admitted in Handan Central Hospital from January 2020 to February 2023 were selected as ACI group,and another 61 healthy volunteers who were underwent physical examination during the same period were selected as control group.The patients with ACI were divided into unstable plaque group(56 cases),stable plaque group(71 cases),and non plaque group(64 cases)based on carotid color doppler ultrasound results.The serum miR-124 expression levels of all subjects were detected by real time fluorescence quantitative polymerase chain reaction(RT-qPCR),and the serum CD146 and Angptl2 levels were detected by enzyme-linked immunosorbent assay(ELISA).The influencing factors of the instabili-ty of CAS plaque in patients with ACI was analyzed by univariate and multivariate Logistic regression.The predictive value of serum miR-124,CD146 combined with Angptl2 for the instability of CAS plaque in patients with ACI was analyzed by the receiver operating characteristic(ROC)curve.Results The serum CD146 and Angptl2 levels in ACI group were higher than those in control group(P＜0.05),and the miR-124 expression level was lower than that in control group(P＜0.05).Univariate analysis showed that the stability of CAS plaques in ACI patients was correlated with age,hypertension,hyperlipidemia,fibrinogen(FIB),serum C-reac-tive protein(CRP),serum cystatin C(CyC),CD146,Angptl2 and miR-124(P＜0.05).Multivariate Logistic regression analysis showed that the decrease of serum miR-124,the increase of CD146,the increase of Angptl2 and the combination of hyperlipidemia were risk factors for CAS plaque stability in ACI patients(P＜0.05).The area under ROC curve(AUC)of serum miR-124,CD146,Angptl2 and the combination of the three indi-cators to predict CAS plaque instability in ACI patients were 0.741,0.719,0.781 and 0.834,respectively.Conclusion The serum miR-124 expression level,CD146 and Angptl2 levels are the influencing factors of CAS plaque instability in ACI patients,which may be involved in the formation and development of CAS plaque in ACI patients.The combined detection of the three factors has a good predictive effect on CAS plaque instability in ACI patients.

Objective: To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students. Methods: By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students. Results: The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05). Conclusions Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.

ObjectiveTo investigate the therapeutic effect of Baihe Wuyaotang （BWT） on non-alcoholic fatty liver disease （NAFLD） and elucidate its underlying mechanism. MethodC57BL/6J mice were randomly assigned to six groups： normal control， model， positive drug （pioglitazone hydrochloride 1.95×10^-3 g·kg^-1）， and low-， medium-， and high-dose BWT （1.3，2.5 and 5.1 g·kg^-1）. Following a 12-week high-fat diet （HFD） inducement， the mice underwent six weeks of therapeutic intervention with twice-daily drug administration. Body weight was monitored weekly throughout the treatment period. At the fifth week， glucose tolerance （GTT） and insulin tolerance （ITT） tests were conducted. Subsequently， the mice were euthanized for the collection of liver tissue and serum， and the subcutaneous adipose tissue （iWAT） and epididymal adipose tissue （eWAT） were weighed. Serum levels of total triglycerides （TG） and liver function indicators，such as alanine aminotransferase （ALT） and aspartate aminotransferase （AST）， were determined. Histological examinations， including oil red O staining， hematoxylin-eosin （HE） staining， Masson staining， and transmission electron microscopy， were performed to evaluate hepatic lipid deposition， pathological morphology， and ultrastructural changes， respectively. Meanwhile， Western blot and real-time quantitative polymerase chain reaction （Real-time PCR） were employed to analyze alterations， at both gene and protein levels， the insulin signaling pathway molecules， including insulin receptor substrate 1/2/protein kinase B/forkhead box gene O1 （IRS1/2/Akt/FoxO1）， glycogen synthesis enzymes phosphoenolpyruvate carboxy kinase （Pepck） and glucose-6-phosphatase （G6Pase）， lipid metabolism-related genes stearoyl-coA desaturase-1 （SCD-1） and carnitine palmitoyltransferase-1 （CPT-1）， fibrosis-associated molecules α-smooth muscle actin （α-SMA）， type Ⅰ collagen （CollagenⅠ）， and the fibrosis canonical signaling pathway transforming growth factor-β₁/drosophila mothers against decapentaplegic protein2/3（TGF-β₁/p-Smad/Smad2/3）， inflammatory factors such as interleukin（IL）-6， IL-8， IL-11， and IL-1β， autophagy markers LC3B Ⅱ/Ⅰ and p62/SQSTM1， and the expression of mammalian target of rapamycin （mTOR）. ResultCompared with the model group， BWT reduced the body weight and liver weight of NAFLD mice（P<0.05， P<0.01）， inhibited liver lipid accumulation， and reduced the weight of white fat： it reduced the weight of eWAT and iWAT（P<0.05， P<0.01） as well as the serum TG content（P<0.05， P<0.01）. BWT improved the liver function as reflected by the reduced ALT and AST content（P<0.05， P<0.01）. It improved liver insulin resistance by upregulating IRS2， p-Akt/Akt， p-FoxO1/FoxO1 expressions（P<0.05）. Besides， it improved glucose and lipid metabolism disorders： it reduced fasting blood glucose and postprandial blood glucose（P<0.05， P<0.01）， improved GTT and ITT（P<0.05， P<0.01）， reduced the expression of Pepck， G6Pase， and SCD-1（P<0.01）， and increased the expression of CPT-1（P<0.01）. The expressions of α-SMA， Collagen1， and TGF-β₁ proteins were down-regulated（P<0.05， P<0.01）， while the expression of p-Smad/Smad2/3 was downregulated（P<0.05）， suggesting BWT reduced liver fibrosis. BWT inhibited inflammation-related factors as it reduced the gene expression of IL-6， IL-8， IL-11 and IL-1β（P<0.01） and it enhanced autophagy by upregulating LC3B Ⅱ/Ⅰ expression（P<0.05）while downregulating the expression of p62/SQSTM1 and mTOR（P<0.05）. ConclusionBWT ameliorates NAFLD by multifaceted improvements， including improving IR and glucose and lipid metabolism， anti-inflammation， anti-fibrosis， and enhancing autophagy. In particular， BWT may enhance liver autophagy by inhibiting the mTOR-mediated signaling pathway.

Objective: To describe the prevalence and the association of sleep quality trajectory, social jetlag and comorbid symptoms of anxiety and depression among college students, in order to provide a theoretical basis for improving the comorbid symptoms of anxiety and depression in college students. Methods: A questionnaire survey was conducted among 1 135 college students from two universities in Shangrao, Jiangxi Province and Hefei, Anhui Province from April to May 2019, and were followed up once every one year for a total of three times, with a valid sample size of 1 034 individuals after matching with the baseline survey. A selfassessment questionnaire was used to investigate the social jetlag of college students, the Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to evaluate anxiety and depression symptoms, respectively, while the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. College students with GAD-7 score ≥5 and PHQ-9 score ≥5 were defined as having comorbid anxiety and depression symptoms. Latent class growth model (LCGM) was employed to analyze the sleep quality trajectory of college students, and binary Logistic regression was used to analyze the relationship between social jetlag, sleep quality trajectory and comorbid symptoms of anxiety and depression. Results: The detection rate of comorbid symptoms of anxiety and depression among college students was 16.9%, and the detection rate of social jetlag ≥2 h was 13.8%. The sleep quality showed an overall improvement trend, and the two trajectories were good sleep quality (81.6%) and poor sleep quality (18.4%). Binary Logistic regression model showed that poor sleep quality and social jetlag ≥2 h were positively correlated with comorbid symptoms of anxiety and depression (OR=5.94, 1.84, P<0.05). Conclusions Poor sleep quality and social jetlag ≥2 h in college students increase the risk of comorbid symptoms of anxiety and depression. Early screening and intervention of sleep quality and reduction of social jetlag are crucial for enhancing the mental health of college students.

Animals ; SARS-CoV-2 ; Antibodies, Neutralizing ; Macaca mulatta ; COVID-19/prevention & control* ; Antibodies, Viral ; Vaccines

Objective:To establish a predictive model of acute physiological and chronic health status score (APACHEⅡ) and the British Thoracic Society modified pneumonia score (CURB-65) score on the prognosis of patients with emergency severe pneumonia complicated with acute respiratory distress syndrome (ARDS) and to evaluate the predictive effect.Methods:The relevant clinical data of patients with severe pneumonia combined with ARDS admitted to the Emergency Intensive Care Unit (EICU) of General Hospital of Ningxia Medical University from January 2017 to December 2021 were retrospectively collected, and different logistic regression models were established. On this basis, three prediction models (model 1: APACHE Ⅱ score, model 2: CURB-65 score, Model 3: APACHE Ⅱ score combined with CURB-65 score) were established and the accuracy of the prediction model was evaluated by repeating 50 times of 10-fold cross-validations. The efficacy of the prediction model was evaluated by C statistics, Kendall's tau-a rank correlation coefficient, R2, Brier score, calibration curve, net reclassification index (NRI), composite discriminant improvement index (IDI) and decision curve (DCA).Results:The study eventually included 108 patients, including 81 males and 27 females, with mean age (57.92 ± 16.56) years. Forty-eight patients survived and 60 patients died. The age of the death group was older, and APACHEⅡ score and CURB-65 score of the death group were all greater than those in the survival group, and the differences were statistically significant ( P<0.05). Different logistic regression models showed that the OR value of model 1 was 1.12 (95% CI: 1.06 -1.20), that of model 2 was 2.21 (95% CI: 1.43 - 3.40), and that of model 3 was 1.10 (95% CI: 1.03 - 1.18) and 1.95 (95% CI: 1.24 - 3.07). The average accuracy of model 1, model 2, and model 3 were 0.68±0.14, 0.66±0.11, and 0.72±0.13, respectively. The C statistic, Kendall's Tau-a rank correlation coefficient, R2 and Bril score of model 3 were better than those of model 1 and model 2, and the different models fit well ( P<0.05). The calibration curve results of 500 resampling showed that the calibration degree of model 2 was better than that of model 1 and model 3, and the predictive ability of model 3 was improved compared with model 1, and the IDI was increased by 0.08 ( P<0.01). Compared with model 2, the reclassification ability of cases and the comprehensive discrimination ability of model 3 were improved ( P<0.01). The decision curves of different models showed that the net benefit of model 3 was higher than that of single model 1 and model 2 when the prediction probability was about 25% to 55%, while the benefits of model 1, model 2 and model 3 in other probability prediction intervals were basically equal. Conclusions:Both APACHE Ⅱ score and CURB-65 score have certain predictive power for prognosis of patients with emergency severe pneumonia and ARDS, and their combination has the best prediction effect. CURB-65 score has fewer parameters, and its prognostic benefit in emergency patients with severe pneumonia complicated with ARDS is basically equivalent to APACHE Ⅱ score, which may be more suitable for the prognosis evaluation of emergency patients with severe pneumonia complicated with ARDS.

【Objective】 To retrospectively analyze the efficacy of low dose apheresis platelet prophylactic infusion and explore its feasibility. 【Methods】 A total of 392 inpatients with platelet transfusion in our hospital from November 2020 to September 2021 were selected. The conventional dose (1 therapeutic dose) of apheresis platelet transfusion was set as the control group, and the low dose (0.5 therapeutic dose) as the experimental group. Platelet count before and after infusion, platelet elevation value (△PLT) and 24 h platelet count correction increase index (CCI) were observed, and the efficacy of low-dose platelet infusion was analyzed by disease type and gender. 【Results】 The △PLT value and 24h CCI effective infusion rate in control group were higher than those in experimental group: (16±16) ×10⁹ vs (7±10) ×10^9, 71.94% vs 60.46%, P<0.05. The △PLT value of the control group was about 1.2-3.5 times that of the experimental group, and the effective rate was about 1-1.4 times. In control group, the △PLT (×10⁹) was AML (20±14) >AA (14±14) >ALL (13±12) >NHL (9±8) >MDS (7±6). In the experimental group, the △PLT (×10⁹) was AA (11±18) >AML (8±8) >ALL (5±7) >NHL (5±7) >MDS (6±16). The 24h CCI was AML(163/188, 86.70%)>AA(23/32, 71.88%)>ALL(65/98, 66.33%)>MDS(9/17, 52.94%)>NHL(12/22, 51.55%) in the control group, and AML(133/188, 70.74%)>AA(19/32, 59.38%)>NHL(12/22, 51.55%)>ALL(47/98, 47.96%)>MDS(8/17, 47.06%) in the experimental group. The effective infusion rates of AML and ALL2 in the experimental groups were 70.74% (133/188) and 47.96% (47/98), respectively, significantly lower than 86.7% (163/188) and 66.33% (65/98) in the control group(P<0.05). No significant difference was noticed in the effective infusion rate between the experimental group and the control group for other diseases (P>0.05). 【Conclusion】 Low-dose apheresis platelet prophylactic infusion can alleviate the between supply shortage, with an effective infusion rate of 60.46% (236/392), which has certain clinical application value. Patients with AML, AA or ALL were recommended with low dose platelets, while patients with MDS and NHL were not recommended.