To explore the relationship between volatile organic compounds (VOCs) exposure and sleep problems in adults.

This study included 5 337 participants from the 2007-2014 National Health and Nutrition Examination Survey (NHANES) database. Weighted logical regression model and weighted quartile sum (WQS) regression model were used to evaluate the association of blood VOCs with short sleep duration (SSD), difficulty in falling asleep, and sleep disorders in adults.

After adjusting the confounding factors, blood benzene (OR = 1.120, 95%CI: 1.019-1.230, P = 0.02), 2,5-dimethylfuran (OR = 1.144, 95%CI: 1.043-1.254, P = 0.005), ethylbenzene (OR = 1.115, 95%CI: 1.025-1.211, P = 0.012), furan (OR =1.271, 95%CI: 1.086-1.489, P = 0.004), and o-xylene (OR = 1.097, 95%CI: 1.006-1.198, P = 0.037) had a significant positive correlation with SDD. Secondly, 2,5-dimethylfuran (OR = 1.082, 95%CI: 1.008-1.161, P = 0.03) and furan (OR = 1.148,95%CI: 1.002-1.315, P = 0.046) were positively correlated with difficulty in falling asleep. Subgroup analysis showed that the positive association between VOCs and SSD was consistent among different groups. WQS results showed that for every unit of increase, SSD risk increased by 25.4% (OR = 1.254, 95%CI: 1.009-1.559, P = 0.041).

There is a positive correlation between VOCs exposure and SSD in American adults.

To establish a high throughput method for the detection of 22 plant toxins in urine and blood by ultra performance liquid chromatography-triple quadrupole mass spectrometry.

The samples were extracted by acetonitrile oscillation, centrifuged, and the supernatant was purified by QuEChERS. Then, the matrix was matched with standard curve and quantified by external standard method. The full scanning mode of UPLC-MS /MS was used to quantitatively analyze and determine 22 kinds of target substances simultaneously. The influence of different extraction solvents, the selection and dosage of purification agent on sample extraction and purification by QuEChERS method was compared, and the sensitivity of the instrument was improved by optimizing the separation conditions of liquid chromatography and mass spectrometry parameters.

The regression equations of the 22 components to be measured in urine and blood had an outstanding linear relationship, with correlation coefficients were ≥0.996.The detection limits were 0.01～1.00 μg/L and 0.01～0.90 μg/L, the lower limits of quantification were 0.1-3.0 μg/L and 0.03-3.0 μg/L.The average recovery rates of spiked were 70.5%-125% and 73.7% -118%, Intraday precision and Daytime precision (RSD) were 1.2% to 15.2% (n=6) and 1.2% to 13.5% (n=6), respectively.

The method is rapid, accurate, sensitive and has high throughput. It can realize the rapid and efficient quantitative analysis of 22 plant toxins in blood and urine, and provide a reference for the determination oftrace plant toxins in biological samples.

To investigate the detection rate of osteosarcopenia in the elderly in the community of Shihezi city and to analyze its influencing factors.

From March to July 2023, a stratified random sampling method was used to select the elderly over 60 years old in Shihezi community for on-site questionnaire survey and physical measurement. Multivariate Logistic regression was used to analyze the influencing factors.

Among 1 051 elderly people, the detection rate of osteosarcopenia was 21.9% (230 people). Multivariate analysis showed that BMI (OR=0.78, 95% CI: 0.712-0.857), comorbidities (OR=1.774, 95% CI: 1.106-2.845), fracture history (OR=3.493, 95% CI: 1.748-6.979), duration of menopause (OR=1.080, 95% CI: 1.013-1.152), drinking strong tea OR coffee or carbonated drinks (OR=5.161, 95% CI: 2.731-9.752), sedentary inactivity (OR=1.899, 95% CI: 1.073-3.363), malnutrition (OR=4.601, 95% CI: 2.352-9.000), married (OR=0.041, 95% CI: 0.007-0.247), living alone (OR=3.404, 95% CI: 1.335-8.683), social frailty (OR=5.669, 95% CI: 3.852-10.674), low income (OR=2.248, 95% CI: 1.053-4.798) and employee medical insurance (OR=0.138, 95% CI: 0.037-0.510) and resident medical insurance (OR=0.023, 95% CI: 0.005-0.096) were the main influencing factor for the high-risk population of osteosarcopenia in the community.

The detection rate of sarcopenia and osteoporosis is high in the elderly in the community of Shihezi city. Community health workers should find the high-risk population of osteosarcopenia as soon as possible and take intervention measures.

To develop an ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the determination of eleven organophosphorus and ten neonicotinoid pesticides in vegetables.

Pesticides in sample were extracted with acetonitrile, cleaned up using a sorbent mixture of magnesium sulfate anhydrous, PSA and C₁₈. The separation was performed on a HSS T3 column. Detection was operated on multiple reaction monitoring scan under positive electrospray ionization. Matrix-matched external standard calibration curves were used for quantification.

The linear rang of calibration curves ranged from 0.50-100 ng/ml. Good linearities (r>0.999) were obtained for all 21 pesticides. The average recoveries were 76.0%-119.3% with RSD<10% for all the analytes. The limits of detection and quantification were 0.02-1.7 μg/kg and 0.06-5.7 μg/kg, respectively. This method was applied to analyze 76 vegetable samples from market. Nine target pesticides were detected in 26 samples, with a contents of 0.012-3.16 mg/kg.

This method is simple, sensitive, and accurate, and it is suitable for the determination of organophosphorus and neonicotinoid pesticide residues in vegetables.

To study the quality-of-life level and its differentiation characteristics of elderly people in rural areas of China.

Based on the China Health and Retirement Longitudinal Study in 2018, we constructed an indicator system for evaluating the quality of life of rural elderly people from four levels: individual, family, society, and policy. The entropy method was used to objectively assign weights and calculate the quality-of-life score. The evaluation results were analyzed from three aspects: population characteristics, spatial correlation, and spatial distribution.

Marital status (F=35.27, P<0.001) and educational level (F=10.80, P<0.001) had a significant impact on the quality of life of rural elderly people. The distribution of quality of life was spatially correlated (I=0.432, P<0.001). There are a total of 16 provinces (accounting for 57.142%) with quality levels in the middle, low, and low-level regions, mainly located in the central and western regions.

More than half of the rural elderly in provinces have a quality of life in areas with a moderate or lower level, exhibiting a positive spatial clustering feature, roughly showing a distribution pattern of high in the east and low in the west. Special attention should be paid to the quality of life of unmarried, widowed, low educated, and central and western provinces.

To study the causal relationship between tea intake and the incidence of colorectal cancer using two-sample Mendelian randomization.

Using the colorectal cancer genome-wide association analysis data (GWAS ID: ieu-b-4965) and tea intake genome-wide association analysis data (GWAS ID: ukb-b-6066) in the IEU OPEN GWAS public database, we summarized and screened the two data sets for single nucleotide polymorphisms (SNPs) which were closely related to and independent of tea intake as instrumental variables (IVs). By using MR-Egger and inverse variance weighting in two-sample Mendelian randomization, Five methods (IVW), weighted median method (Weighted Median), simple model (Simple Mode) and weighted model (Weighted Mode) were used to determine the causal analysis between tea intake and the incidence of colorectal cancer. OR and 95% CI were used to examine the causal relationship between tea intake and the incidence of colorectal cancer. MR-PRESSO was used for outlier testing. IVW (Cochran Q test) and MR-Egger (Rücker Q test) were used for heterogeneity analysis. Egger-intercept was used for pleiotropy test, sensitivity analysis was performed by leave-one-out method, and funnel plot was used to analyze the presence of potential bias.

39 SNPs were finally included, and MR-PRESSO found no outlier SNPs, P=0.237>0.05; in terms of causality determination: IVW (OR=0.996, 95% CI:0.990-1.002, P=0.293), MR-Egger (OR=0.992, 95% CI:0.977-1.007, P=0.293), Weighted Median (OR=0.997, 95% CI: 0.987-1.007, P=0.479), Simple Mode (OR=0.996, 95% CI: 0.976-1.017, P=0.724), Weighted Mode (OR=0.996, 95% CI: 0.985-1.007, P=0.473). The above results showed that there was no causal relationship between tea intake and the incidence of colorectal cancer. In the heterogeneity test, P=0.181>0.05 in Cochran Q test and P=0.167>0.05 in Rucker Q test. There was no significant heterogeneity. The Egger-intercept test showed that P=0.489>0.05 and was not pleiotropic. The leave-one-out method was removed one by one, and no SNPs significantly affecting the results were found. The funnel plot was basically symmetrical, indicating that the main results were reliable.

There is no causal relationship between tea intake and the incidence of colorectal cancer.

To investigate the effects of high-fat diet in pre-pregnancy and pregnancy on gut microbiota of neonatal rats.

Twelve 3-week-old Specific Pathogen Free (SPF) female Sprague-dawley (SD) rats after one week of adaptive feeding were randomly divided into control group and high-fat diet group according to body weight. The rats were fed basal diet or high-fat diet until 12-week-old in pre-pregnancy, respectively, and then mated with SPF male SD rats of the same age. Pregnancy was determined the next day when vaginal plugs were observed or sperms were found by vaginal smears. Pregnant rats were kept in single cages and the diet in pregnancy was the same as pre-pregnancy. The postnatal day 0.5 (PD 0.5) neonatal rats were collected and the body weights were measured. Intestine of PD 0.5 neonatal rats were collected, intestinal weights were measured and intestinal coefficients were calculated. Histopathology and related genes detection of ileum and colon were performed. Total bacterial DNA of intestinal contents was extracted and the gut microbiota was analyzed by 16S rRNA sequencing. Data was analyzed by t test or Mann-Whitney U test.

Compared with control group, there were no significant difference in the body weight, intestinal weight and intestinal coefficient in PD 0.5 neonatal rats of high-fat diet group(t=-0.682, P=0.499; t=0.269, P=0.790; t=0.674, P=0.506); there were no difference in intestinal histopathological changes; the gene expression level of Claudin-1, Lysozyme, Reg3γ (regenerating islet derived protein 3 gamma) and Alpha-defensin 5 of colon in PD 0.5 neonatal rats of high-fat diet group were increased significantly(t=-3.136，P=0.011; t=-3.303, P=0.019; t=-3.093, P=0.011; t=-3.575, P=0.005); there were no significant difference in α diversity and β diversity of gut microbiota(t=-1.407, P=0.190; t=-1.410, P=0.189; t=-2.017, P=0.071; U=6.000, P=0.055; F=1.030，P=0.141); the abundance of Ruminococcus, Phascolarctobacterium, Lachnospiracea_incertae_sedis, Veillonella and Flavobacterium and Bacteroides_sp._SLC1-38 increased significantly(U=3.500, P=0.013; U=7.000, P＝0.050; U=6.000, P=0.022; U=6.000, P=0.022; U=7.000, P＝0.050; U=3.000, P=0.007). The Linear discriminant analysis Effect Size (LEfSe) analysis found that Escherella/Shigella, Ruminococcus, Phascolarctobacterium, Lachnospiracea_incertae_sedis and Bacteroides_SP._SLC1-38 were bacteria with effects on the differences in high-fat diet group greater than the set value.

High-fat diet in pre-pregnancy and pregnancy increased the abundance of metabolically related bacteria and pathogenic bacteria in the gut of PD 0.5 neonatal rats.

To understand the utilization of basic public health services and the influencing factors of the young female floating population in the Pearl River Delta (PRD), to provide reference suggestions to enhance the utilization of basic public health services by the young female floating population, and to help shape the Healthy Bay Area and the construction of Healthy China.

Utilization of basic public health services by young female mobile population in the Pearl River Delta and its influencing factors were analyzed using descriptive statistics, chi-square test, and binary logistic regression using the 2018 National Mobile Population Dynamics Monitoring data.

Of the 2 970 young female migrants who had flowed into the PRD for 6 months or more, 407 (13.7%) had signed up for a family doctor in the local community, 886 (29.8%) had established a resident health record, and 2 479 (83.3%) had received ≥1 type of health education, which was mainly in the form of publicity materials and bulletin boards. Factors affecting the contracting status of local family doctors included whether or not they participated in urban residents’ medical insurance (OR=0.626, 95% CI: 0.425-0.921) and whether or not they planned to have children in the next two years (OR=0.806, 95% CI: 0.668-0.972); factors affecting the establishment of health records of the young female migrants included whether or not they participated in urban residents’ medical insurance (OR=0.806, 95% CI: 0.668-0.972). Medical insurance (OR=0.626, 95% CI: 0.425-0.921) and whether they intend to give birth in the next two years (OR=0.813, 95% CI: 0.675-0.981); factors affecting the acceptance of health education by young female migrants included marital status (OR=4.644, 95% CI: 2.265-9.523), weekly working time (OR=1.384, 95% CI: 1.206-1.589).

The young female migrant population in the PRD underutilizes basic public health services, with the highest rate of having received ≥1 type of health education, followed by the rate of establishing a health record, and lowest rate of signing up for a family doctor. The rates of family doctor contracting and file establishment are higher among young female migrants who have no intention of having children or who do not participate in urban residents’ health insurance, whereas the rates of health education acceptance are higher among young female migrants who are first married or whose weekly working hours are less than 40h, and lower among those who are widowed or whose weekly working hours are more than 70h. The rate of acceptance is also higher among those who have not participated in the urban residents’ health insurance program.

To apply the case-based problem-based learning (PBL) teaching method in clinical and disease prevention education of obstetric and gynecological nursing and evaluate its effectiveness.

A total of 50 obstetric and gynecological nursing students were randomly divided into a control group and an experimental group. The control group received traditional teaching methods, while the experimental group received case-based PBL teaching method. After completing all teaching sessions, a comprehensive evaluation of student learning was conducted through performance assessment and survey questionnaires. The collected data were analyzed and visualized using SPSS statistical software.

Students taught using a case-based problem-based learning (PBL) approach demonstrated significantly higher scores in seven assessment indicators compared to students taught using traditional teaching methods (P<0.05). Among these indicators, the differences were most pronounced in clinical thinking ability (t=5.226, P<0.001) and self-directed learning ability (t=3.878, P<0.001). In terms of theoretical and practical scores, the experimental group had an average score of 88.68, which was higher than the control group’s average score of 85.92 (t=3.056, P=0.004).

The application of the case-based PBL teaching method in clinical and disease prevention education of obstetric and gynecological nursing effectively enhances students’ comprehensive abilities, particularly in improving their clinical thinking and self-directed learning abilities.