Using Mendelian randomization analysis to explore the immune cells involved in myocarditis(MC).

Genome-wide association study (GWAS) was used to mine the data, and the exposure factors were 731 immune cell traits, and the outcome factor was myocarditis. Regression models such as Inverse-Variance Weighted method (IVW), MR-Egger, Simple Mode, weighted median and Weighted Mode were used for Mendelian randomization analysis. At the same time, heterogeneity tests, horizontal multiple validity analyses, and sensitivity analyses were also conducted. Multivariate Mendelian randomization analysis of the relevant immune cell traits was performed by Inverse-Variance Weighted method (IVW) to correct the effect of seven positive immune cell traits on the outcome.

(1)The results of Mendelian randomization showed that there was a causal relationship between 7 immune cell traits that include CD39+resting Treg %resting Treg (OR=1.237, 95%CI:1.039-1.474), CD4+CD8dim %leukocyte (OR=0.737, 95%CI:0.543-0.100), CD28-CD8dim AC (OR=0.868, 95%CI:0.753-0.100), CD28-CD8br AC (OR=1.398, 95%CI:1.097-1.780), CD20 on CD20-CD38- (OR=1.295, 95%CI:1.012-1.659), CCR2 on monocyte (OR=1.010, 95%CI:1.000-1.208), CD11b on basophil (OR=0.852, 95%CI:0.727-0.998) and MC.(2)The results of multivariate Mendelian randomization showed that CD39+ resting Treg %resting Treg (OR=1.228, 95%CI:1.059-1.423), CD28-CD8dim AC (OR=0.629, 95%CI:0.428-0.924), CCR2 on monocyte (OR=0.661, 95%CI:0.488-0.895) were correlated with MC.(3)The results of reverse Mendelian randomization did not find a causal relationship between 7 positive immune signatures and MC.

This study confirm the close relationship between immune cells and MC through genetics, which will provide a reference for future research.

To analyze the epidemiological trends of Alzheimer’s disease in the elderly population in China from 1990 to 2019, and to provide a scientific basis for the specific formulation of prevention and treatment measures.

Based on data obtained from the Global Burden of Disease (GBD) 2019 database, we analyzed quantitative changes in the number of incidences and disability-adjusted life years (DALYs) of Alzheimer’s disease among people aged 60 to 89 years in China from 1990 to 2019. Trend changes over the period were assessed by calculating the annual percentage change (AAPC) and linkage regression analysis, age-period-cohort models were constructed by Stata17 to analyze trends in DALY incidence and rates along three dimensions: age, period, and cohort.

The number of DALY and Alzheimer’s disease incidence cases in the Chinese elderly population in 2019 was 1 526 516 and 5 034 024 person-years, respectively, with 5 829 523 and 1 956 623 person-years of DALY and Alzheimer’s disease incidence in elderly men, and 943 563 and 3 077 401 person-years of DALY and Alzheimer’s disease incidence in elderly women, respectively. The Chinese elderly population in 2019 Incidence and DALY rates were 600.49 per 100 000 and 1 980.23 per 100 000, respectively, increasing at an average rate of 1.12% and 0.81% per year, with a more pronounced increase in elderly men than in elderly women.

China’s elderly population faces a heavy burden of disease from Alzheimer’s disease, and the government should take immediate action to alleviate the heavy morbidity and financial burden on patients.

To investigate the effects of the interactions between type 2 diabetes risk-related genetic variations and occupational noise on prediabetes, and to provide the evidence for prevention of prediabetes in occupational populations.

A total of 991 workers in a tobacco plant were selected using a cluster sampling method. All subjects were classified into the control group (n=407) and exposure group (n=584) according to their noise exposure levels. The whole blood was collected for glycated hemoglobin (HbA1c) measurement and the iPLEX system was used for genotyping. The multivariable logistic regression model was used to explore the interactions of noise and type 2 diabetes risk-related genetic variations on prediabetes.

A total of 143 cases of pre-diabetes were detected with a prevalence of 14.30%. With adjustment for age, gender, smoking, alcohol consumption and body mass index (BMI), the risk of prediabetes in noise-exposed workers was 1.535 times than that of non-noise-exposed workers. CDKAL1-rs2206734 TT and IGF2BP2-rs1470579 CC genotype carriers were the risk factors for prediabetes (all OR>1, all P<0.05), and there was an interaction between IGF2BP2-rs1470579 and occupational noise exposure based on multiplication models (P<0.05).

The CDKAL1-rs2206734 TT and IGF2BP2-rs1470579 CC genotype are susceptible genes for prediabetes, and they interact with occupational noise based on a multiplicative model.

To examine the association between exposure to ambient PM_2.5 chemical components and semen quality in Southwest China.

We conducted a longitudinal study to investigate 1 105 sperm donors who lived in Sichuan Province, China and underwent semen examination in Sichuan Province human sperm bank from October 2019 to December 2021. Exposure to ambient PM_2.5 and its chemical components in lag 0-90 d, lag 0-9 d, lag 10-14 d and lag 70-90 d were assessed by extracting monthly PM_2.5 and its chemical components values from a few validated grid datasets at each subject’s residential address. Spearman rank correlation analysis was used to evaluate the correlation between PM_2.5 and its chemical components. A linear mixed-effects model was used to analyze the relationship between exposure to PM_2.5 chemical components and semen quality parameters.

PM_2.5 is highly positively correlated with its chemical components. PM_2.5, NH₄⁺, SO₄^2-, NO₃^-, OM, and BC exposures were significantly associated with decreased total motility (P<0.05). OM exposure was significantly associated with decreased in sperm progressive motility (P<0.05), and the mean change in sperm progressive motility was -1.166 (95%CI: -2.174 - -0.171) for per IQR (3.1 μg/m³) increase in OM.

PM_2.5 and its chemical components are risk factors for sperm total motility.

To evaluate the effect of salt-reducing intervention on the content of sodium of dishes in catering units in Shandong.

A stratified, random sampling method was used to recruit a representative sample of catering units, and finally 60 catering units were selected and divided into the intervention group and control group. The content of sodium was determined according to the national detection standard (GB/T 5009.91-2003).

After six months of intervention, the content of sodium of dishes in the intervention group’s catering units decreased from 436 mg/100 g 369 mg/100 g (Z=-3.88, P<0.001), with a decrease of 15.4%, while the control group only decreased by 4.3%. The monthly average salt consumption per meal in the intervention group decreased from 6.49 to 6.03 grams (Z=-3.12, P<0.05).

The salt-reducing intervention can reduce the content of salt of the dishes, and the monitoring of indicators, such as salt consumption, number of diners and sales ratio of low salt dishes in catering units, should be complied.

To analyze the relationship between dietary intake of n-3 polyunsaturated fatty acids (n-3 PUFA) and the incidence of type 2 diabetes mellitus (T2DM) among residents in selected districts of Chongqing,and to provide recommendations for the prevention of T2DM.

Using cross-sectional survey data collected in Chongqing as part of the 2021 China National Nutrition and Health Survey (CNNHS), and in combination with energy and nutrient intake calculated from the Chinese Food Composition Tables, single-factor and multi-factor Logistic regression models were employed to investigate the association between n-3 PUFA intake and the incidence of T2DM.

This study included a total of 1 511 participants, of which 280 were diagnosed with T2DM, accounting for 18.80% of the total. When compared to participants in the lowest quartile of animal-derived n-3 PUFA intake, those in the highest quartile had a significantly lower risk of developing T2DM (OR=0.61, 95%CI: 0.42-0.88). The results from adjusted Model 1 were consistent with those of Model 2 (Model 1: OR=0.64, 95%CI: 0.44-0.94; Model 2: OR=0.66, 95%CI: 0.44-0.98). Notably, in Model 2, the risk of developing T2DM was even lower in the Q₄ group of plant-derived n-3 PUFA compared to Q₁ (OR=0.48, 95%CI: 0.24-0.98).

The dietary intake of animal-derived n-3 PUFA and plant-derived n-3 PUFA is negatively correlated with the incidence of T2DM. The association between animal-derived n-3 PUFA and T2DM weakens after adjusting for confounding factors, with the highest quartile of plant-derived n-3 PUFA showing the strongest protective effect against T2DM.

To establish a depression prediction model for adolescents with Polycystic Ovary Syndrome (PCOS) and validate the model.

Patients’ data were collected from the gynecological clinic of Affiliated Hospital of Zunyi Medical University according to the item pool of risk factors for depression in adolescents with PCOS. Data collected between October 2021 and September 2022. In this study, R software (version 4.2.1) was used to perform regression analysis by the least absolute shrinkage and selection operator (LASSO), so as to screen out strong risk factors related to depression in adolescents with PCOS. These risk factors were then incorporated into logistic regression to develop a depression warning model in adolescents with PCOS. The model has been visualized by nomogram and has been verified both internally and externally. The predicted effect of the model was evaluated through discrimination, specificity and sensitivity. Decision curve analysis was used to analyze the clinical effect of the model.

The model was as follows: depression risk=1/(1+exp-(-4.055+0.221×sleep+0.729×hormonal contraceptive use+0.920 ×hirsutism+0.079×illness perception -0.058×social support+1.049×(luteinizing hormone/follicle stimulating hormone)≥2)). The area under the ROC curve for this model was 0.881. The optimal cut-off value on the ROC curve was 0.278, corresponding to a high specificity and sensitivity of 76.2% and 88.0%, respectively. The corrected area under the ROC curve obtained was 0.867. In addition, the result of decision curve analysis showed that the model could provide effective evidence support for clinical decision-making. The area under the ROC curve obtained from external validation was 0.871.

In this study, an early warning model of depression risk in adolescents with PCOS was constructed. It can effectively identify people at high risk of depression in adolescents with PCOS at an early stage, thus providing a theoretical basis for the implementation of comprehensive and effective risk prevention measures.

To explore the relationship between the walking time of pregnant women and the maintenance of the antibody level of SARS-CoV-2 inactivated vaccine, so as to provide a reference basis for the prevention of pregnant women’s infection and the promotion of maternal and infant health during the normalization management of SARS-CoV-2 pneumonia epidemic.

In a multicenter cross-sectional study in Guangdong Province, 854 pregnant women who were vaccinated with inactivated SARS-CoV-2 vaccine were included to investigate their demographic characteristics and physical activity, and detect their serum SARS-CoV-2 antibody levels. Multifactor logistic regression model was used to analyze the correlation between the walking time of pregnant women and the positive rate of SARS-CoV-2 antibody.

The positive rates of neutralizing antibody, IgG and IgM of serum SARS-CoV-2 were 44.6%, 46.1% and 3.4% respectively. There was a difference in the positive conversion rate of neutralizing antibodies to SARS-CoV-2 among pregnant women at different walking times(P<0.05), and this difference did not appear in the level of IgG and IgM antibodies(P>0.05). Compared to pregnant women who walked for more than 30 minutes per day, pregnant women who walked for 15~30 minutes per day had a higher NAb positivity rate(OR=1.56, 95%CI:1.09~2.23).

The walking time of pregnant women is related to maintaining the antibody level of SARS-CoV-2 vaccine. The antibody level of pregnant women who walk for 15~30min/d is higher. The walking exercise of pregnant women is beneficial to the immune system. It is suggested that pregnant women should exercise moderately every day to maintain good health.

To explore the relationship between cumulative ecological risk and junior middle school student’s online aggressive behavior.

In 2023, convenience sampling method was adopted. A questionnaire survey was conducted among 340 junior middle school students from 2 middle schools in Tongliao City, Inner Mongolia Autonomous Region with cumulative ecological risk scale, normative beliefs about aggression scale and online aggressive behavior scale, and the mediation effect was tested by non-parametric percentile Bootstrap method with bias correction.

The cumulative ecological risk was positively correlated with online aggressive behavior and normative beliefs about aggression (r=0.51,r=0.53,P<0.01). There was a significant positive correlation between normative beliefs about aggression and online aggressive behavior (r=0.73,P<0.01). Online aggressive behavior had significant positive regression on cumulative ecological risk and normative beliefs about aggression (β=0.17,95%CI:0.09-0.26,β=0.63,95%CI:0.56-0.70,P<0.001), and normative beliefs about aggression had significant positive regression on cumulative ecological risk (β=0.52,95%CI:0.44-0.60,P<0.001). Normative beliefs about aggression played a partial mediating role between cumulative ecological risk and online aggressive behavior, and the mediating effect was 0.33(95%CI:0.27-0.40), accounting for 64.71% of the total effects.

Cumulative ecological risk can not only directly affect the online aggressive behavior, but also indirectly affect the online aggressive behavior of junior middle school student through the normative belief about aggression. In the future, the level of online aggressive behavior can be regulated by intervening the normative belief about aggression.

To investigate thejob satisfaction and analyze influencing factors of health workers in basic public health service projects.

164 primary medical institutions in Jiangxi Province were selected according to the method of phased cluster sampling. A questionnaire survey was conducted on the health personnel providing basic public health services in these institutions. Nonparametric test and ordered multiclass logistic regression were used to analyze the influencing factors of job satisfaction.

Among the 3 018 basic public health service workers, the average score of job satisfaction was 24.52±6.84 points. The proportion of very dissatisfied, relatively dissatisfied, average, fairly satisfied and very satisfied were 3.78%, 9.87%, 39.83%, 23.92% and 22.60%, respectively. Multiple linear regression analysis showed that educational background, job category, working years, income, overtime, training and performance reward mechanism had statistical significance on the overall job satisfaction score (P<0.05).

The job satisfaction of health worker in basic public health service projects in Jiangxi Province was above average. In order to improve the job satisfaction, we can improve the promotion and guarantee mechanism for grassroots talents, strengthen vocational training, and improve the assessment mechanism.