To study the accessibility of childcare institutions in Hangzhou and provide references for the optimal allocation of childcare service resources in Hangzhou and the layout of childcare resources in other similar areas.

Using the information of childcare institutions in Hangzhou as of July 2024, which was published on the official website and mini-program of the Health Commission of Hangzhou, the network analysis tool in ArcGIS 10.8 software was used to calculate the spatial accessibility of childcare institutions according to the Gaussian two-step floating catchment area method.

The ratio of the number of childcare institutions per unit area between the northeast and southwest regions of Hangzhou was 31.38. Overall, there was a distribution pattern with more resources in the northeast and fewer in the southwest. The accessibility of inclusive childcare institutions in the northeast generally showed a state of being low in the central urban area and high in the surrounding urban areas, which was different from the distribution of the number of childcare institutions. The accessibility of non-inclusive childcare institutions was basically consistent with the distribution of the number of childcare institutions. In the five southwestern districts and counties, the areas with high accessibility of inclusive childcare institutions were relatively concentrated near the locations of the district and county governments, and the accessibility in some areas was in the high-value zone. Non-inclusive childcare institutions were only distributed in individual districts and counties close to the northeast urban area.

Attention should be paid to the resource supply of inclusive childcare institutions in some areas of the northeast central urban area with a large population density.Meanwhile, the childcare needs of the five southwestern districts and counties and the less-populated areas in the northeast should not be ignored. Comprehensive measures should be taken to promote the provision and utilization of childcare services.

To explore the current situation and influencing factors of depression among middle-aged and elderly people in China through the analysis of the 2020 survey data of CHARLS, and to provide a theoretical basis for the prevention of depression among middle-aged and elderly people.

First, 13 124 middle-aged and elderly people aged 45 to 74 with complete information were included according to the inclusion and exclusion criteria. Second, the research subjects were divided according to the scores of the Center for Epidemiologic Studies Depression Scale (CES-D10). Then, the Lasso model was used to screen the influencing factors. Finally, a logistic prediction model for depressive symptoms in the elderly was constructed and the prediction effect was evaluated.

Among the 13 124 research subjects, 4 877 had depressive symptoms, with a detection rate of 37.16% (95%CI: 36.33%-37.99%). The LASSO results showed that when the lambda (λ) value was 0.008 595 583, the error was the smallest, and 15 influencing factors were screened out: gender, marital status, type of residence, educational level (junior high school, high school and above), region (central region, western region), drinking status, nighttime sleep duration (h) (>6-7, >7), whether there were social activities in the past month, Internet use, whether often uncomfortable due to pain, number of chronic diseases: ≥ 2, physical activity (Met*min/week): 600-3 000. The logistic regression prediction model showed that female gender, other marital statuses, region (central region, western region), often being uncomfortable due to pain, and number of chronic diseases: ≥ 2 were independent risk factors for depressive symptoms in middle-aged and elderly people (P < 0.05); educational level (junior high school, high school and above), drinking, nighttime sleep duration (h) (>6-7, >7), having social activities in the past month, and Internet use were protective factors for depressive symptoms in middle-aged and elderly people (P < 0.05). The area under the receiver operating characteristic curve was 0.743(95%CI: 0.735-0.752).

The detection rate of depressive symptoms among middle-aged and elderly people is relatively high and is affected by multiple factors. It is recommended to consider preventive measures from multiple aspects and perspectives.

To investigate the dual mediating effects of frailty and health literacy on the relationship between social support and quality of life among older adults based on the health ecological model.

A convenience sampling method was employed to survey 1 497 older adults using a general information questionnaire, social network relationship scale, Tilburg Frailty Indicator, health literacy assessment scale, and SF-6Dv2 quality of life assessment scale. Descriptive statistics, non-parametric tests, and correlation analyses were performed on the data, and the PROCESS macro in SPSS 26.0 was used to construct a multiple mediation effect model.

Significant differences in quality-of-life scores among older adults were observed based on different living areas (Z=-4.171, P <0.001), gender (Z=-2.378, P < 0.05), age (H=58.938, P < 0.001), education level (H=66.224, P < 0.001), occupation (H=78.662, P <0.001), and income sources (H=87.730, P < 0.001). Social support was significantly negatively correlated with frailty (r=-0.314, P < 0.01),while positively correlated with health literacy (r=0.398, P < 0.01) and quality of life (r=0.253, P < 0.01). Frailty was significantly negatively correlated with health literacy (r=-0.320, P < 0.01) and quality of life (r=-0.391, P < 0.01), whereas health literacy was significantly positively correlated with quality of life (r=0.219, P < 0.01). Frailty (effect size=0.094, 95%CI: 0.071-0.119) and health literacy (effect size=0.011, 95%CI: 0.012-0.037) partially mediated the effect of social support on quality of life, accounting for 43.7% and 5.1% of the total effect, respectively.

Frailty and health literacy play dual mediating roles in the relationship between social support and quality of life among older adults. It is essential to implement interventions that help older adults expand their social support networks, reduce levels of frailty, and enhance health literacy to improve their quality of life.

To explore the relationship between health literacy and health-related quality of life among residents in Qingdao, and to verify the mediating effect of self-efficacy and the moderating effect of chronic disease status in this relationship.

A multi-stage stratified random sampling method was used to select 7 000 permanent residents aged 15 to 69 years from 10 districts (cities) in Qingdao. Questionnaires were conducted using measurement tools such as the Health Literacy Monitoring Questionnaire and the European Quality of Life Five Dimensions Questionnaire (EQ-5D-3L). SPSS 24.0 software was used for data processing and statistical analysis, and the PROCESS plugin Bootstrap method was used to test the mediating and moderating effects.

A total of 6 385 valid questionnaires were retrieved, with an effective response rate of 91.21%. The health literacy score of the respondents was (44.912 ±14.461) points, the self-efficacy score was (12.908 ± 2.005) points, the health-related quality of life utility value was (0.972 ± 0.078) points, and the number of people with chronic diseases was 1 160, accounting for 18.17% of the total. Health literacy could not only directly and positively predict the health-related quality of life of residents (β=0.074, P < 0.001), but also affect it through the mediating effect of self-efficacy, with the mediating effect being 32.43%. Both the direct effect of health literacy on the health-related quality social support networks, reduce levels of frailty, and enhance health literacy to improve their quality of life.of life of residents and the mediating effect of self-efficacy were moderated by chronic disease status. Compared with those without chronic diseases, the effect of self-efficacy on health-related quality of life was significantly enhanced among single-chronic disease patients (B_simple=0.228, P < 0.001), and the enhancement effect of health literacy and self-efficacy on health-related quality of life was more significant among multiple-chronic disease patients (B_simple=0.167, P=0.003; B_simple=0.253, P <0.001).

Health literacy affects the health-related quality of life of residents through self-efficacy, and chronic disease status moderates the relationships among health literacy, self-efficacy, and health-related quality of life.

To explore the latent categories of cognitive function in older adults and their influencing factors.

Data from the 2020 CHARLS (China Health and Retirement Longitudinal Study) were used, including 4 606 participants aged 60 years and above. Latent profile analysis (LPA) was employed to identify the latent categories of cognitive function, and multivariate logistic regression and restricted cubic spline analysis were conducted to examine the influencing factors.

Cognitive function in older adults was classified into four categories: “Low Cognitive Function-Low Attention Group” (21%), “Moderate Cognitive Function-Balanced Group” (18.6%), “High Cognitive Function-High Attention Group” (47.7%), and “Low Cognitive Function-High Visuospatial Ability Group” (12.7%). Protective factors for the “High Cognitive Function-High Attention Group” included age <70 years, higher education level, male gender, internet use, non-smoking, and absence of depressive symptoms (P < 0.05). Age exhibited a non-linear dose-response relationship with the risk of belonging to the “Low Cognitive Function-Low Attention Group” (P _overalltrend <0.001, P _{non-linearity} <0.001), “Moderate Cognitive Function-Balanced Group” (P _overalltrend =0.016, P non-linearity =0.006), and “Low Cognitive Function-High Visuospatial Ability Group” (P_overalltrend =0.007, P_{non-linearity} =0.004).

Cognitive function in older adults demonstrates distinct categorical characteristics, suggesting that healthcare professionals should develop targeted and personalized intervention strategies based on these categories and their influencing factors to prevent and delay cognitive impairment.

To explore the distribution characteristics of body composition and the current nutritional status of middle-aged and elderly people in some areas of Sichuan.

In this study, people aged 45 to 79 years who participated in the “Natural Population Cohort of West China Hospital, Sichuan University” in Mianzhu city, Longquanyi District and Pixian District of Chengdu city, Sichuan Province from 2020 to 2021 were selected as the research subjects. The body composition was detected by bioelectrical impedance method, and the body composition characteristics and the current situation of overweight and obesity in this population were analyzed.

Fat-related indicators such as visceral fat area and body fat percentage (BFP) were positively correlated with age, and the values in women were significantly higher than those in men (all P < 0.001). Muscle-related indicators such as fat-free mass and skeletal muscle mass index was negatively correlated with age, and the values in men were higher than those in women (allP < 0.001). According to BMI, the overweight and obesity rates in men were 44.32% and 13.05% respectively; the overweight and obesity rates in women were 39.45% and 12.84% respectively. According to BFP, the overweight and obesity rates in men were 16.50% and 70.95% respectively; the overweight and obesity rates in women were 20.87% and 63% respectively. The prevalence of hidden obesity in middle-aged and elderly people was 17.29%. A total of 7 muscle-fat types were detected in the population. Among them, the type of overweight and/or excessive body fat combined with sarcopenia accounted for 25.06% in men and 20.81% in women, and both increased with age.

The proportion of body-fat-type obesity in middle-aged and elderly people in some areas of Sichuan is too high. In the future, it is necessary to comprehensively consider the three aspects of BMI, body fat and muscle A total of 7 muscle-fat types were detected in the population.

To investigate the hepatotoxic effects and mechanisms of glyphosate using metabolomics approaches.

Forty male Kunming mice were randomly divided into control, low-dose (50 mg/kg·d), medium-dose (250 mg/kg·d),and high-dose (500 mg/kg·d) groups, with glyphosate administered orally for 30 days. The liver organ coefficients, pathological changes, and liver function parameters were measured. UPLC-MS was employed to analyze the liver metabolic profiles, and multivariate statistical methods were utilized to identify differential metabolites, followed by enrichment analysis based on the KEGG platform.

Compared to the control group, mice exposed to medium and/or high doses of glyphosate exhibited varying degrees of edema and inflammation in liver cells, along with significantly elevated serum levels of ALT, TBILI, DBILI,and GLU. Glyphosate exposure reduced the levels of nucleotide metabolites such as hypoxanthine, xanthine, and pyrimidine, as well as cellular membrane components like choline, phosphatidylcholine, and sphingosine. It also decreased the levels of vitamins such as thiamine and retinal, and amino acid metabolites including Hom vanillic acid and 4-aminobutyraldehyde.Conversely, it increased the levels of carbohydrate metabolites such as glucose-6-phosphate, fructose-1-phosphate, and ribose-1-phosphate. Furthermore, liver function indicators ALT, TBILI, and DBILI were correlated with the aforementioned metabolites.

Glyphosate exposure can damage the structure and function of liver cells in mice by affecting nucleotide metabolism, carbohydrate metabolism, amino acid metabolism, phospholipid metabolism, and vitamin metabolism.

To evaluate the discriminative ability of the Kinetic Direct Peptide Reactivity Assay (kDPRA) for identifying the skin sensitization potential of chemicals.

A total of 31 chemicals with known skin sensitization strengths were selected.These chemicals were prepared in phosphate-buffered saline or acetonitrile to create solutions at concentrations of 1.25, 2.5, 5.0,10.0, and 20.0 mmol/L. A mixture of 40 μl of the above solutions with 120 μl of a 0.667 mmol/L cysteine peptide was prepared, alongside blank controls, solvent controls, test substance controls, and a positive control (cinnamaldehyde). The mixtures were incubated at 25°C for 10, 30, 90, 150, 210, and 1 440 minutes. After the respective incubation times, 40 μl of 3 mmol/L monobromination was added for 5 minutes, and fluorescence intensity was measured using an enzyme-linked immunosorbent assay (ELISA) reader with excitation at 390 nm and emission at 480 nm. The consumption rate and rate constant of the cysteine peptide were calculated, with the maximum logarithmic rate constant (log kmax) from the six time points serving as the evaluation metric for the skin sensitization potential of various chemicals.

Testing 2,4-dinitrochlorobenzene yielded log kmax values of -0.39,-0.28, and -0.31 across three tests, all classified as Category 1A sensitizers. Consistent sensitization classifications were obtained from three repeated tests on 10 chemicals. Expanding to 20 additional chemicals, 6 were classified as Category 1A and 14 as non-1A. The skin sensitization classifications for all 31 tested chemicals were consistent with the European Chemicals Agency (ECHA) database.

This method demonstrates good discriminative ability for assessing the skin sensitization potential of chemicals.

To investigate the contamination levels of Legionella pneumophila (Lp) in shower water at bathing venues in Shandong Province, the influencing factors, and antibiotic resistance, providing a scientific basis for formulating prevention and control strategies for Lp infections in the population.

Using a cluster random sampling method, 2 to 3 public bathing venues were selected annually from 16 cities in Shandong Province from 2020 to 2022 for testing Lp in shower water. The influencing factors on the detection rate of Lp were explored based on the time of water sample collection, the size of water tanks, water supply methods, and whether the tanks were disinfected. Serotyping and antibiotic resistance testing were conducted on positive samples to further analyze the characteristics of antibiotic resistance in Lp.

Among the 143 samples collected, 55 tested positives for Lp, yielding a positivity rate of 38.5%. Serological typing identified that serotype 1 (LP1) accounted for 51% of the positive Lp strains. The detection rate of Lp was influenced by various factors, including different water sample collection times (46.7% in October, 29.4% in April, χ²=4.49, P < 0.05), varying water tank storage capacities (50.8% for tanks with a capacity greater than daily water usage, 18.2%for those with a capacity less than daily usage, χ²=10.39, P < 0.01), and different sampling locations (26.5% at the water inlet of the pipeline, 44.7% at the showerhead, χ²=4.48, P < 0.05), with statistically significant differences observed within the groups. The 55 positive strains exhibited varying degrees of resistance to seven first-line treatment antibiotics, with the highest resistance rate to cefuroxime (90.9%) and the lowest to azithromycin (14.5%).

The positivity rate of Lp in shower water at bathing venues across 16 cities in Shandong Province is primarily influenced by environmental temperature and the retention of shower water in the water supply system. The Lp strains in the environment show significant resistance to antibiotics such as cefuroxime, rifampicin, and sulbactam. It is recommended to strengthen the monitoring of shower water, pay attention to changes in bacterial resistance, ensure the safety of shower water in public places, and protect the health of the population.