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 establish a training system for laboratory operators in Biosafety Level 2 laboratories, aimed at enhancing the knowledge level of personnel, standardizing operational skills, and reducing laboratory accidents.

The Delphi method was employed to conduct two rounds of consultations with 17 experts in the field of biosafety from Beijing, Shanghai,Xinjiang, Fujian, Anhui, Chongqing, Guangzhou, and Shenzhen to determine the indicator system, while the Analytic Hierarchy Process (AHP) was used to establish the weights of the indicators.

The response rates for the two rounds of questionnaires were 94.44% and 100.00%, respectively, with expert authority coefficients of 0.962 and 0.944. The Kendall's coefficient of concordance (W) was high (all P < 0.01). Ultimately, the training system was defined to include 5 primary indicators, 21 secondary indicators, and 83 tertiary indicators.

This training system is structurally complete and content-rich, demonstrating strong scientific validity and reliability, and can serve as a reference for the training and assessment of laboratory operators in Biosafety Level 2 laboratories.

To analyze the impact of breastfeeding on life expectancy (LE) and healthy life expectancy (HLE) among rural women.

A cohort study was conducted involving women aged 40 and above from rural Henan. Data on demographic characteristics, personal medical history, and breastfeeding history were collected through questionnaires. The European five-dimensional health scale (EQ-5D-5L) was used to assess the quality-of-life utility index and visual analog scale (VAS) scores. Multi-state life table method was employed to calculate LE and HLE from three dimensions: common chronic diseases, health status utility index, and VAS scores.

Women with breastfeeding history had a lower prevalence of common chronic diseases (21.85% vs 23.46%). The average health status utility index and VAS scores were 0.94±0.12 and 76.85±15.26 for those with a breastfeeding history, compared to 0.93±0.15 and 76.09±17.97 for those without. In terms of common chronic diseases, women with breastfeeding history had HLE and LE at age 40 of 24.10 years and 44.36 years, respectively, which were 3.48 years and 3.23 years longer than those without breastfeeding history. In the utility index dimension, women with breastfeeding history had HLE and LE at age 40 of 35.96 years and 44.58 years, respectively, which were 4.08 years and 4.40 years longer than those without. In the VAS score dimension, HLE and LE at age 40 for women with breastfeeding history were 32.31 years and 46.36 years, respectively, which were 3.39 years and 3.75 years longer than those without. Among the three dimensions, in the utility index dimension, the highest HLE at age 40 was observed based on cumulative breastfeeding duration: ≤36 months (35.34 years), 37-60 months (35.87 years), and ≥61 months (36.34 years).

Breastfeeding is associated with longer HLE and LE among rural women, with those having a breastfeeding history enjoying greater HLE and LE. Increased cumulativebreastfeeding duration correlates with longer LE.

Self-perceptions of aging (SPA) are a critical issue in the mental health of middle-aged and older adults, yet the complex relationship with obesity remains insufficiently explored. This study analyzes the impact of obesity on SPA among this demographic.

Utilizing longitudinal follow-up data from the Health and Retirement Study (HRS) in the United States, logistic regression was employed to examine the relationship between Body Mass Index (BMI) and SPA, while restricted cubic splines (RCS) were used to reveal potential nonlinear associations.

After adjusting for baseline age, gender, race, education level, marital status, number of chronic diseases, depressive symptoms, functional limitations, and baseline SPA levels, grade 2/3 obesity was associated with negative SPA (OR=1.50, 95%CI: 1.08-2.07), and a significant nonlinear relationship between BMI and SPA was observed (P-overall < 0.001, P-nonlinear = 0.042). Subgroup analysis indicated that among individuals under 80 years old, females, those with a high school education or lower, Caucasians, individuals with depressive symptoms, and those without functional limitations, grade 2/3 obesity was positively correlated with negative SPA.

Obesity in middle-aged and older adults is related to negative SPA. Healthcare professionals should pay attention to the potential psychological impacts of obesity during the aging process and develop more targeted prevention and intervention strategies to assist obese individuals in improving their mental health as they age.

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.

To analyze the influencing factors of myopia in children and adolescents, providing references for precise myopia prevention.

A stratified cluster random sampling method was employed to select 1 660 students aged 9 to 18 from six schools in Jiading District, Shanghai, for vision testing and questionnaire surveys from September to October of 2021.The random forest model was utilized to rank the importance of myopia influencing factors, and the sliding window sequential forward selection method was applied for dimensionality reduction. The factors with the highest importance scores and the lowest average out-of-bag estimation error rates were included in a multifactorial logistic regression analysis model to estimate the direction and effect values of the influencing factors.

The myopia rate among the 1 660 children and adolescents was 71.99%. The random forest model indicated that the average out-of-bag estimation error rate was minimized when the number of variables was six. When incorporated into the multifactorial logistic regression analysis model, the results showed that advancing educational stage (junior high: OR=5.191, 95%CI: 3.738-7.209; senior high: OR=6.989, 95%CI: 4.309-11.338), parental myopia (one parent myopic: OR=3.669, 95%CI: 2.723-4.943; both parents myopic: OR=5.231, 95%CI: 3.510-7.795), increased reading and writing duration (<1h: OR=12.192, 95%CI: 3.373-44.066; 1-2h: OR=11.985, 95%CI: 3.364-42.704; ≥2h:OR=10.547, 95%CI: 2.957-37.622), participation in extracurricular classes (<6 years: OR=3.114, 95%CI: 2.046-4.740; ≥6 years: OR=1.817, 95%CI: 1.351-2.444), and using only ceiling lights for reading and writing at home after dark (OR=2.921,95%CI: 2.009-4.248) were identified as risk factors for myopia. In contrast, a sleep duration of ≥8 hours (OR=0.383, 95%CI:0.264-0.557) was identified as a protective factor against myopia.

The prevalence of myopia among children and adolescents is high, and targeted measures should be implemented based on the identified influencing factors for myopia prevention and control.

To explore the causal relationship between serum micronutrients and hypertension using Mendelian randomization, thereby promoting the prevention and health management of hypertension.

Fourteen serum micronutrients were selected as exposure factors, with hypertension as the outcome. Two-sample Mendelian randomization analyses were conducted based on genome-wide association study data from European populations, followed by multivariable Mendelian randomization analyses to identify variables that may have a causal relationship with the outcome, determining the independent effects of each exposure factor on the outcome.

Univariate Mendelian randomization analysis indicated a positive causal effect of elevated copper levels on the incidence of hypertension (P<0.05). Multivariable Mendelian randomization showed that the causal relationship between copper and hypertension remained significant after controlling for potassium and vitamin B6 (OR=1.028, 95%CI: 1.009-1.047, P<0.05).

There is a causal relationship between elevated copper levels and hypertension. However, the findings of this study require validation through randomized controlled trials.

To analyze the physical exercise habits of urban and rural residents in Henan Province and their association with depression, anxiety disorders, and insomnia.

A stratified multi-stage random sampling method was employed to survey residents aged 18 and older in urban and rural areas of Henan Province. Data on demographic characteristics, physical exercise, and mental health status were collected using questionnaires and screening scales. Subsequent diagnosis of mental disorders was performed on individuals screened out by the scales, and analyses were conducted using χ² tests and logistic regression.

(1) Among 10 057 urban and rural residents, the proportions of individuals engaging in minimal, low, moderate, and high levels of exercise were 46.8%, 21.1%, 26.1%, and 6.0%, respectively. Statistically significant differences in exercise levels were observed across various demographics, including region, gender, age, education level, occupation, marital status, monthly income, smoking habits, drinking habits, health status, and mental health literacy (P<0.05). (2) Multivariate logistic regression analysis indicated that, after adjusting for demographic characteristics, lifestyle habits, and health status, participants engaging in moderate exercise had a lower risk of depression (OR=0.670, 95%CI: 0.470-0.954) and insomnia (OR=0.758, 95%CI: 0.651-0.883) compared to those who did not exercise. (3) Logistic regression results among different demographic groups showed that participants engaging in moderate exercise had a lower risk of insomnia in urban (OR=0.674,95%CI: 0.446-0.987), rural (OR=0.664, 95%CI: 0.547-0.805), male (OR=0.744, 95%CI: 0.592-0.935), and 18-35 age groups (OR=0.514, 95%CI: 0.313-0.842). In the female population, those engaging in moderate exercise had a lower risk of depression (OR=0.296, 95%CI: 0.171-0.512) and anxiety disorders (OR=0.613, 95%CI: 0.432-0.870) compared to non-exercisers. Additionally, compared to non-exercisers, participants with small (OR=0.774, 95%CI: 0.627-0.955), moderate (OR=0.682, 95%CI:0.56-0.827), and high levels of exercise (OR=0.542, 95%CI: 0.367-0.800) had lower risks of insomnia. Among the 36-59 and ≥60 age groups, participants engaging in moderate exercise had a lower risk of depression (OR=0.621, 95%CI: 0.374-0.932; OR=0.502, 95%CI: 0.284-0.887), anxiety disorders (OR=0.665, 95%CI: 0.460-0.960; OR=0.737, 95%CI: 0.582-0.925), and insomnia (OR=0.674, 95%CI: 0.545-0.833; OR=0.625, 95%CI: 0.482-0.812).

There are significant differences in physical exercise levels among different demographic groups. Participants engaging in moderate exercise have a lower risk of depression and insomnia, with a more pronounced correlation between physical exercise and mental disorders observed in females and older adults.

To assess the association between mood swings and pancreatic cancer using two-sample Mendelian randomization (TSMR) and to identify potential mediators between mood swings and pancreatic cancer through multivariable Mendelian randomization (MVMR).

Summary statistics for mood swings were obtained from genome-wide association studies (GWAS). Summary data for pancreatic cancer were derived from a cross-population atlas of 220 human phenotypic genetic associations. Single nucleotide polymorphism (SNP) associated with body mass index (BMI) and several common risk factors for pancreatic cancer, including smoking, alcohol consumption, triglycerides, and total cholesterol, were sourced from the UK Biobank and the IEU database. Causal relationships between mood swings and pancreatic cancer were explored using inverse variance weighting (IVW), MR-Egger, weighted median, simple mode, and weighted mode methods. A series of sensitivity analyses were conducted to evaluate the stability of the results.

Genetically predicted mood swings were positively associated with pancreatic cancer risk, with the IVW method indicating that individuals with genetically determined mood swings had an increased risk of developing pancreatic cancer (OR=2.05, 95%CI: 1.21-3.48). After adjusting for BMI using MVMR, the association between mood swings and pancreatic cancer was attenuated (OR=1.45, 95%CI: 0.94-2.23). Mediation analysis estimated that BMI partially mediated the causal relationship between mood swings and pancreatic cancer risk, with a mediation proportion of 48.2%.

The findings of this study indicate a positive correlation between mood swings and the risk of pancreatic cancer, potentially mediated by effects on BMI.

To investigate the relationship between physical and cognitive activities and cognitive function in different socioeconomic status (SES) populations, providing a basis for interventions targeting cognitive impairment in elderly individuals of varying SES.

Data were sourced from the Hubei Memory and Aging Cohort Study (HMACS), including physical examinations and cognitive assessments. SES was categorized into low, medium, and high groups based on education level, occupation, and income. Physical Activity (PA) and Cognitive Leisure Activity (CLA) were standardized through a comprehensive scoring system based on the type, duration, and frequency of activities. Chi-square tests or t-tests were used to analyze group differences, while multivariate logistic regression examined the association between SES and overall cognitive impairment as well as specific cognitive domains. General linear regression models analyzed the relationship between activity scores and cognitive function in elderly individuals across different SES groups.

A total of 8 597 eligible participants aged ≥65 years were included in HMACS, with a mean age of 72.2 (±6.0) years, an average education level of 7.9 (±5.2) years, including 4 735 females (55.1%), 3 008 from rural areas (35.0%), and 2 155 currently unmarried individuals (25.2%). Among them, 1 553(18.1%) were classified as low SES, and 2 677 (31.1%) had cognitive impairment. The prevalence of cognitive impairment was 1.88 times (95%CI: 1.62-2.18) higher in the medium SES group and 3.61 times (95%CI: 2.92-4.46) higher in the low SESgroup compared to the high SES group. In the medium SES group, PA showed the strongest association with memory and attention functions (β=0.06, 95%CI: 0.02-0.11; β=0.08, 95%CI: 0.04-0.12, respectively). In the low SES group, CLA demonstrated the strongest associations with overall cognitive function, memory, language, attention, and processing speed compared to the high SES group, with respective β values of 0.20 (95%CI: 0.12-0.28) vs. 0.03 (95%CI: 0.01-0.05), 0.15 (95%CI: 0.06-0.24) vs.0.04 (95%CI: -0.01-0.10), 0.07 (95%CI: -0.03-0.16) vs. 0.02 (95%CI: -0.02-0.07), 0.15 (95%CI: 0.07-0.24) vs. 0.06(95%CI: 0.00-0.11), and 0.22 (95%CI: 0.08-0.36) vs. 0.04 (95%CI: -0.02-0.09). Additionally, the combination of PA and CLA in the low SES group showed the strongest associations with overall cognitive function, memory, language, attention, and processing speed compared to the high SES group, with β values of 0.29 (95%CI: 0.19 to 0.40) vs. 0.04 (95%CI: 0.00 to 0.07),0.14 (95%CI: 0.02 to 0.26) vs. 0.05 (95%CI: -0.03 to 0.13), 0.11 (95%CI: -0.01 to 0.23) vs. 0.05 (95%CI: -0.01 to 0.11), 0.17(95%CI: 0.07 to 0.28) vs. 0.09 (95%CI: 0.01 to 0.17), and 0.23 (95%CI: 0.04 to 0.41) vs. -0.02 (95%CI: -0.09 to 0.05).

Physical and cognitive activities have a more significant impact on improving cognitive function among elderly individuals with low socioeconomic status. Implementing CLA and combined PA with CLA in low SES populations shows promising cognitive improvement effects.