To investigate the causal association between sarcopenia and hypertension and the mediating role of sedentary behavior using Mendelian randomization.

The summary statistical data of sarcopenia-related indicators,sedentary behavior (television watching,computer use and driving) and hypertension were extracted from IEU Open GWAS database website.Univariate Mendelian randomization was used to explore the association between the indicators of sarcopenia and hypertension, and two-step Mendelian randomization was used to investigate whether sedentary behaviors (television watching, computer use and driving) mediated the causal association.

Univariate Mendelian randomization revealed that all four indicators of sarcopenia were negatively associated with hypertension, including appendicular lean mass (OR=0.92, 95% CI: 0.88-0.96), left grip strength (OR=0.78, 95% CI: 0.66-0.92), right grip strength (OR=0.78, 95% CI: 0.66-0.91) and walking pace (OR=0.20, 95% CI: 0.14-0.30). Furthermore, two-step Mendelian randomization showed that television watching partially mediated the causal association between left grip strength (22.92%) and right grip strength (23.62%) and hypertension, respectively.

All four indicators of sarcopenia had negative causal associations with hypertension and that television watching mediated part of the causal association between left and right grip strength and hypertension.

To comprehensively analyze the influencing factors of the blood plate-paper bridge method for H antigen induction and identification, and to investigate its mechanism in order to promote the application of this method in Salmonella serotyping.

The experimental conditions of the blood plate-paper bridge method for Salmonella serotyping were optimized by comparing the effects of different paper bridge materials on the induction and identification of H antigen, scanning the surface of different paper bridge materials by scanning electron microscope to explore the mechanism of the effects, and combining the factors of environmental humidity and saline dosage. The optimized method was compared with the simple plate method of GB 4789.4 standard for serotyping 40 strains of Salmonella.

The matte surface of CN110 and CN95 nitrocellulose membranes had similar bridging effect with ordinary filter paper, and the difference was not statistically significant (P>0.05), while the effect of filter membrane was significantly lower than that of ordinary filter paper (P<0.05). Salmonella spread better at higher humidity, and there was a significant difference between the results at 80% humidity compared with those of the 50% and 20% groups (P<0.016 7). The spreading effect was significantly improved with increasing amount of saline (P<0.001), and the optimal amount was 15 μL. Forty foodborne Salmonella strains were identified using the two methods, and the method in this study was able to accurately identify Salmonella serotypes in one go, whereas the simple plate method required one to three inductions.

The blood plate-paper bridge method optimized in this study is easy to operate and has a significant induction effect, which is suitable for the identification of Salmonella serotypes. This method can be used as an effective complement to Salmonella serotyping methods to improve the efficiency and accuracy of foodborne disease traceability.

To explore the correlation between adolescents’ self-assessment of oral health and oral examination results assessed according to WHO-recommended standards and to analyze the factors influencing adolescents’ self-assessment of oral health.

A total of 2 146 adolescents aged 12 from 11 districts and counties in Guizhou Province were selected through multi-stage random sampling. Oral health examinations and a questionnaire survey were conducted according to the methods and standards of the Fourth National Oral Health Epidemiological Survey. Kendall correlation analysis was used to compare the correlation between the results of the two evaluation methods. The chi-squared (χ²) test and ordered logistic regression analysis were employed to analyze the factors affecting adolescents’ self-assessment of oral health status.

There was a significant correlation between self-rated oral health and oral examination results. Statistical differences were observed in adolescents’ self-rated oral health based on different economic regions, brushing habits, general health evaluations, experiences of dental trauma, toothache, and the number of siblings (P<0.05).

Adolescents’ self-assessment of oral health can reflect their actual oral health status. It is recommended to focus on the key factors affecting adolescents’ oral health, promote and popularize proper brushing techniques, and improve the utilization rate of oral health services.

To explore the longitudinal correlation between cognitive function (CF) and activities of daily living (ADL) of the rural elderly in Guizhou province, and to provide theoretical basis for preventing and controlling health problems of the elderly.

The multi-stage cluster random sampling method was used to select the elderly aged 60 years and above from 12 villages in 2 counties(districts) of Guizhou Province as the research objects. In this study, 792 elderly people who participated in two surveys in 2019 (T₁) and 2022 (T₂) and were ≥60 years old at baseline with complete variable values were selected as survey subjects. The cross-lagged model was used to investigate the longitudinal relationship between cognitive function and ADL.

The cross-lagged model showed that T₁ ADL could predict T₂ cognitive function after controlling T₁ cognitive function (β= -0.120, P<0.001). After controlling for T₁ ADL, T₁ cognitive function predicted T₂ ADL (β= -0.099, P=0.005). In the study of the association between two dimensions of ADL and cognitive function, it was found that T₁ IADL could predict T₂ cognitive function after controlling for T₁ cognitive function (β= -0.138, P<0.001). Similarly, after controlling T₁ IADL, T₁ cognitive function could predict T₂ IADL (β= -0.124, P<0.001). But there was no predictive effect between BADL and cognitive function.

There is a longitudinal bidirectional correlation between cognitive function and activities of daily living of the rural elderly in Guizhou, only between IADL and cognitive function, suggesting that strengthening the monitoring and intervention of cognitive function of the elderly can help reducing the risk of the decline of IADL in the elderly, and strengthening the training of IADL plays an important role in delaying cognitive decline.

To understand the adverse childhood experiences of middle school students in Huangpu District and the association and gender differences between sleep disorders, and to provide scientific basis for the prevention and control policies of sleep disorders.

A stratified cluster sampling method was used to investigate the adverse childhood experiences (ACEs) of middle school students, evaluate their overall sleep function, and investigate the childhood adverse experiences of 6 middle school students in Huangpu District. The detection rate of sleep disorders in different childhood adverse experiences exposure was compared using a chi square test. A binary logistic regression model was established to analyze the risk and gender differences between exposure to adverse childhood experiences and sleep disorders in middle school students.

This study analyzed a total of 6 710 students from 6 high schools in Huangpu District, Guangzhou, with 3 525 males and 3 185 females. The detection rate of sleep disorders was 18.0%. The detection rate of ACEs ranged from 1.3% (substance abuse among family members) to 38.9% (domestic violence). The results of the multivariate binary logistic regression analysis showed that, except for the parental disability dimension, the risk of developing sleep disorders was increased in subjects with ACEs (OR=1.38-4.58). There was a dose-response relationship between the cumulative number of ACEs and the risk of sleep disorders. In addition, the risk intensity between emotional neglect and sleep disorders was significantly higher in girls than in boys, but there was no interaction between gender and the association between other types of ACEs or the cumulative number of ACEs and sleep disorders.

There is a significant association between ACEs exposure and sleep disorders among middle school students in Huangpu District, the incidence of sleep disorders in girls is higher than that in boys, and girls who were emotionally neglected during childhood have a higher risk of developing sleep disorders.

To identify the trajectories of sleep duration among adults in China, and explore the associatedinfluencingfactors.

Data was derived from 2010-2020 China Family Panel Studies (CFPS). Self-reported measures of night sleep duration were used. People aged ≥18 years were included. LCGM and polynomial Logistic regression model were used.

A total of 10 113 adults were included. Four similar trajectory groups of sleep duration were identified among Chinese adults: severely insufficient sleepduration group (3.12%), insufficient sleepduration group (27.63%), moderate sleepduration group (63.41%) and excessive sleepduration group (5.84%). Polynomial logistic regression showed that, using moderate sleep duration group as the reference, individuals who were older (OR=7.29, 95% CI: 2.23-23.83), lived in urban areas (OR=2.45, 95% CI: 1.89-3.17), had higher levels of depressive symptoms (OR=1.12, 95% CI: 1.09-1.15), and people who drank alcohol (OR=1.60, 95% CI: 1.10-2.32) were more likely to be classified into severely insufficient sleep duration group. Males (OR=0.49, 95% CI: 0.35-0.67), living in western regions (OR=0.42, 95% CI: 0.29-0.61) were less likely to be classified into severely insufficient sleep duration group. Older adults (OR=2.38, 95% CI: 2.01-2.83), those with middle school education (OR=1.16, 95% CI: 1.03-1.30), high school education (OR=1.20, 95% CI: 1.04-1.40), college education and above (OR=1.23, 95% CI: 1.01-1.50), living in urban areas (OR=1.34, 95% CI: 1.21-1.48), having more depressive symptoms (OR=1.03, 95% CI: 1.02-1.04), adults drinking alcohol (OR=1.20, 95% CI: 1.05-1.37), and using Internet (OR=1.20, 95% CI: 1.07-1.34) were more likely to be classified into insufficient sleep duration group. Those with higher economic status (OR=0.84, 95% CI: 0.70-1.00), living in western regions (OR=0.51, 95% CI: 0.45-0.58), self-reported fair health (OR=0.86, 95% CI: 0.75-0.98) and good health (OR=0.83, 95% CI: 0.71-0.97), rated life satisfaction as fair (OR=0.74, 95% CI: 0.57-0.94) and satisfied (OR=0.76, 95% CI: 0.60-0.97) were less likely to be in insufficient sleep duration group. Living in the western regions (OR=1.81, 95% CI: 1.44-2.27) were more likely to be classified into excessive sleepduration group, while those aged 30-44 years (OR=0.64, 95% CI: 0.48-0.84), 45-59 years (OR=0.74, 95% CI: 0.55-0.99), having middle school education (OR=0.75, 95% CI: 0.61-0.94), college education and above (OR=0.25, 95% CI: 0.14-0.46), living in urban areas (OR=0.73, 95% CI: 0.60-0.88) were less likely to classified into excessive sleepduration group.

Four groups of sleep duration trajectories among Chinese adults were identified. Sociodemographic factors, socioeconomic status, physical & mental health, health behavior, and life satisfaction were closely related to the trajectories of sleep duration among Chinese adults.

To establish a nomogram predictive model for occupational blood exposures of medical staff and validate the model.

From July to December 2023, 20% of the medical staff of each sample hospital were selected for the study using multi-stage whole group probability sampling method and divided into training and validation groups in a 7:3 ratio. LASSO-Logistic regression was used to screen independent risk factors. R language was used to establish a nomogram model and verify it.

A total of 2 251 medical staff were included. There was no significant difference in general data between the two groups (P>0.05). LASSO-Logistic regression analysis showed that post (doctor: OR=3.024, 95% CI: 1.313-6.963; nurses: OR=3.837, 95% CI: 1.739-8.467), professional title (intermediate: OR=1.926, 95% CI: 1.444-2.569); advanced: OR=1.684, 95% CI: 1.052-2.697), education level (undergraduate: OR=2.076, 95% CI: 1.445-2.983); master’s degree or above: OR= 1.767, 95% CI: 1.073-2.910), psychological quality (general: OR=0.658, 95% CI: 0.443-0.987; good: OR=0.568, 95% CI: 0.368-0.879), stress level (moderate: OR=1.348, 95% CI: 1.061-1.713; severe: OR=2.109, 95% CI: 1.457-3.055), protective awareness (general: OR=0.515, 95% CI: 0.332-0.799; good: OR=0.297, 95% CI: 0.186-0.474), protective behavior (sometimes: OR=0.589, 95% CI: 0.363-0.955; always: OR=0.424, 95% CI: 0.261-0.689) was an independent influencing factor of blood-borne occupational exposure. The results of ROC curve showed that the area under the curve of the training group was 0.821 (95% CI: 0.667-0.831), and the validation group was 0.716 (95% CI: 0.618-0.715). The Hosmer-Lemeshow test showed that the calibration of the model was good (P=0.568, 0.956). The calibration curve showed that the prediction curve was basically fitted with the standard curve, and the model prediction accuracy was high. The results of the decision curve showed that the model had the best applicability when the risk threshold was about 0.1-0.8.

The nomogram model can accurately identify high-risk groups of occupational blood exposures and provide a basis for personalized risk prevention and control.

To study the effects of green space exposure combined with outdoor exercise duration on negative emotions (depression, anxiety and stress) among primary and secondary school students in Jiangsu Province.

A total of 19 903 primary and secondary school students in Jiangsus Province who met the criteria were randomly selected for inclusion in this study. Through the questionnaire survey, the demographic data of the research subjects and the information of negative emotions were collected. The annual average value of the Normalized Vegetation Index (NDVI) of the school environment of the study subjects was used as the spatial measurement of green space. A logistic regression model was used to evaluate the association between green space exposure and outdoor exercise duration and negative emotions.

The detection rates of depression, anxiety and stress were 13.2% (2 631), 21.9% (4 367) and 9.7% (1 927) of the 19 903 participants, respectively. The range of NDVI is (0.19, 0.52); The correlation between green space exposure and outdoor exercise duration, individually or in combination, and the detection rate of negative emotions was generally similar in both regional and gender subgroups.

Expanding the exposure of green space and increasing the time of outdoor exercise can help alleviate the negative emotions of primary and secondary school students, and the research on green space exposure can provide effective measures for school health and psychological services.

To establish a QuEChERS-UHPLC-MS/MS method for the determination of residues of 45 antibiotics in eggs.

Samples were extracted using a 90% acetonitrile aqueous solution (containing 0.1% formic acid), and the supernatant was transferred to a QuEChERS tube (150 mg HLB-P + 50 mg PSA) for purification. The purified extract was concentrated to near dryness under nitrogen, and then reconstituted with 10% methanol aqueous solution (containing 0.1% formic acid). Target compounds were separated using a BEH C18 column (2.1×100 mm, 1.7 μm) with a gradient elution of 0.1% formic acid in water and 0.1% formic acid in methanol as the mobile phase. Detection was performed in positive ion multiple reaction monitoring mode, and quantification was achieved using matrix-matched calibration curves.

Over the concentration range of 1.0 to 200 μg/L, all 45 target analytes exhibited good linear relationships in their regression equations. The method’s limit of detection was 1.0 μg/kg, with spiked recoveries ranging from 69.2% to 109.6% and relative standard deviations (RSD) between 1.2% and 15.8%.

This method is simple, rapid, and exhibits high accuracy and precision, making it suitable for the simultaneous detection of 45 antibiotics in eggs.

To analyze the application of the ARIMA and LSTM models in predicting pertussis incidence in Urumqi, providing a basis for assessing the epidemic trend of pertussis.

Monthly reported incidence data of pertussis in Urumqi from 2011 to 2021 were used to establish ARIMA and LSTM models. The incidence data from 2022 to 2023 were utilized to validate the predictive performance of the two models. The models’ performance was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), and the incidence of pertussis in 2024 was predicted.

The incidence of pertussis in Urumqi from 2011 to 2023 showed an upward trend with seasonal variations. Additionally, a high incidence state of pertussis began in August 2023. Both the ARIMA and LSTM models demonstrated good fitting, although there were discrepancies in their predictions for July to December 2023. The overall predictive performance of the LSTM model (RMSE=32.34, MAE=11.41) was superior to that of the ARIMA model (RMSE=42.81, MAE=14.34). The LSTM model, which showed better validation results, predicted a continued increase in pertussis incidence for 2024.

The LSTM model provides a more accurate prediction of the pertussis incidence trend in Urumqi, offering valuable insights for monitoring and controlling the epidemic of pertussis.