To understand the health poverty vulnerability of the elderly in rural areas of Sichuan Province in the post-poverty-alleviation era and analyze its main influencing factors.

From July to August 2022, a multi-stage sampling method was used to conduct a questionnaire survey on 601 rural elderly people in Sichuan. The three-stage generalized least-squares method was used to calculate the health poverty vulnerability index of rural elderly people in Sichuan, and the influencing factors of health poverty vulnerability were explored through multivariate logistic regression.

Among the 601 people, 35 were in a state of health poverty vulnerability (health poverty vulnerability index ≥ 0.29),and the health poverty vulnerability rate was 5.82%. There were statistically significant differences in the health poverty vulnerability rates among the elderly with different genders (OR=3.69, 95%CI: 1.28-10.61), educational levels (OR=0.14,95%CI: 0.05-0.35), proportions of out-of-pocket medical expenses to income (OR=49.10, 95%CI: 15.99-150.91), and living types (taking living alone as the reference, living only with a spouse: OR=0.09, 95%CI: 0.03-0.29; living with children: OR=0.15, 95%CI: 0.05-0.44) (P < 0.05).

The overall health poverty vulnerability of rural elderly people in Sichuan Province in the post-poverty-alleviation era is at a relatively low level. Rural elderly women, those with low educational levels, those with a large proportion of out-of-pocket medical expenses to income, and those living alone are at a higher risk of falling into health poverty in the future and need to be given key attention.

To investigate the correlation between the platelet-to-lymphocyte ratio (PLR) and the risk of cardiovascular disease mortality in elderly patients with diabetes mellitus (DM) based on samples from a public database in the United States.

Data on demographic characteristics and laboratory indicators of participants from the National Health and Nutrition Examination Survey (NHANES) database from 2009 to 2018 were collected, along with mortality data from the National Death Index as of December 31, 2019. A weighted Cox regression model, subgroup analysis, and restricted cubic spline (RCS) were used to explore and visualize the correlation between Log₂PLR values and cardiovascular disease mortality in elderly DM patients. The accuracy of Log₂PLR in predicting survival outcomes was assessed using receiver operating characteristic (ROC) analysis.

A total of 1 323 elderly DM patients were included in this study, with an average follow-up of 4.86 years. Ninety-one patients died from cardiovascular disease, resulting in a mortality rate of 6.88%. Both univariate and adjusted Cox regression model results indicated that a high Log₂PLR (≥7.08) was associated with cardiovascular disease mortality (HR1=2.71, 95%CI: 1.61-4.56; aHR3=2.75, 95%CI: 1.60-4.72). RCS analysis showed a linear positive correlation between Log₂PLR and cardiovascular mortality (P_non-linear=0.141). There were no significant interactions between age, sex, BMI,history of hypertension, ethnicity, education level, and Log₂PLR (P>0.05). The ROC curve demonstrated that the area under the curve (AUC) for Log₂PLR predicting cardiovascular disease mortality at 1, 3, 5, and 7 years were 0.68, 0.69, 0.67, and 0.63,respectively. When combined with age, the AUC for predicting cardiovascular disease mortality at these time points was greater than 0.70.

PLR is associated with a high risk of cardiovascular disease mortality in elderly DM patients and has certain predictive value regarding the risk of mortality from cardiovascular disease.

To preliminarily evaluate the effects of three online intervention models— “Health Education,”“Subsidy,” and “Relay Vaccination”—on HPV vaccination rates among female adolescents aged 15 to 18 in China, as well as the willingness of guardians to delay vaccination and their confidence in vaccines.

Eight secondary schools in Chengdu and Nanjing were recruited using convenience sampling and divided into three groups: “Health Education” (health education video + postcards), “Subsidy” (financial assistance), and “Relay Vaccination” (health education video + postcards +financial assistance). The study subjects were high school girls aged 15 to 18 who had not yet received the HPV vaccine and one guardian per participant. The primary outcome was the rate of first HPV vaccination among high school girls within one-month post-intervention; secondary outcomes included changes in guardians’ willingness to delay vaccination and their confidence in vaccines before and after the intervention.

A total of 238 pairs of participants were included. Within one-month post-intervention, the vaccination rates were 43.9% for the “Relay Vaccination” group, 43.1% for the “Subsidy” group, and 16.7%for the“Health Education” group. The willingness to delay vaccination significantly decreased in the “Relay Vaccination”group (57.89% vs. 46.49%, P=0.004) and the “Health Education” group (50.00% vs. 33.33%, P=0.001), while there was no significant change in the “Subsidy” group (51.72% vs. 48.28%, P=0.688). Prior to the intervention, guardians in all three groups had high confidence in vaccines, and no statistically significant changes were observed post-intervention (P>0.05).

The “Relay Vaccination” and “Subsidy” groups exhibited superior effects on increasing vaccination rates compared to the“Health Education” group. The health education information included in the intervention strategies helped reduce the willingness to delay vaccination. The study conclusions require further validation with a larger sample size.

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 causal relationship between six dietary-derived antioxidants and telomere length through a two-sample Mendelian randomization analysis.

The research utilized genome-wide association data concerning vitamin C,vitamin E, vitamin D, carotenoids, retinol, urate, and telomere length. Various sensitivity analyses were conducted using inverse variance weighted (IVW) method, MR-Egger regression, weighted median method, weighted model, MR-lap, and MR-PRESSO. The effectiveness of genetic instruments was assessed using F-statistics, Q-statistics, and the MR-Egger intercept test.

The IVW method indicated a negative correlation between urate levels and telomere length (β_IVW: -0.050; 95%CI: -0.070 to -0.031; P_IVW=4.93×10^-7), a finding supported by the other three sensitivity analyses. Additionally, after removing outlier SNPs using MR-PRESSO, the results remained robust (P=2.28×10^-7). No statistically significant causal effects were observed for the other five dietary-derived antioxidants concerning telomere length.

There exists a causal relationship between serum urate levels and telomere length.

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 analyze the impact of temperature on stroke mortality among residents in Wuhan city.

Stroke mortality data, meteorological data, and environmental monitoring data from 2014 to 2019 in Wuhan were collected. A distributed lag nonlinear model (DLNM) was used to assess the impact of temperature on stroke mortality. Stratified analyses were conducted based on gender and age to identify vulnerable populations.

The temperature-stroke mortality relationship in Wuhan exhibited an inverted “J” shape. High temperatures (P_97.5=32 °C) had the strongest immediate effect on stroke mortality on the same day, with the cumulative effect peaking on the 14^th day (relative risk [RR]=1.410, 95%CI: 1.219-1.630 compared to the minimum mortality temperature [MMT]). Low temperatures (P_2.5=1 °C) showed a delayed effect, beginning on the second day after exposure and reaching the maximum cumulative effect on the 21^st day (RR=1.553, 95%CI:1.161-2.079). Stratified analysis revealed that the cumulative effect of low temperatures on stroke mortality was the highest on the 21^st day for males (RR=1.786, 95%CI: 1.195-2.670), on the 7^th day for individuals aged <65 years (RR=1.607, 95%CI:1.151-2.243), and on the 14^th day for those aged ≥65 years (RR=1.627, 95%CI: 1.251-2.116). For high temperatures, the cumulative effect peaked on the 14^th day for males (RR=1.347, 95%CI: 1.104-1.645), individuals aged <65 years (RR=1.559,95%CI: 1.117-2.176), and those aged ≥65 years (RR=1.401, 95%CI: 1.204-1.631), while for females, it peaked on the 21^st day (RR=1.507, 95%CI: 1.188-1.912).

Both low and high temperatures can increase the risk of stroke mortality. High temperatures exhibit a more acute effect, while low temperatures show significant delayed and cumulative effects. Females andindividuals aged <65 years are at higher risk of stroke mortality under high temperatures, whereas males and those aged ≥65 years are more vulnerable under low temperatures. Protective measures should be strengthened for these high-risk populations.

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 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 analyze the characteristics of infectious disease outbreaks reported in Gansu Province from 2004 to 2023 in the “Public Health Emergency Management Information System” providing a basis for effective prevention and control of infectious disease outbreaks in the province.

A descriptive analysis was conducted on infectious disease outbreaks reported in Gansu Province from 2004 to 2023, utilizing ArcGIS 10.5 and GeoDa 1.6 software to explore hotspot areas.

From 2004 to 2023, Gansu Province reported a total of 1 184 infectious disease outbreaks, with a total of 46 352 reported cases and an affected population of 2 616 380, resulting in an incidence rate of 1.77%. A total of 69 deaths were reported, yielding a case fatality rate of 0.15%. General-level events accounted for 1 173 cases (99.07%), while larger-scale events accounted for 11 cases (0.93%). The majority of reported events were caused by Category B infectious diseases, totaling 729 cases (61.57%). The top three reported diseases were chickenpox, mumps, and hand, foot, and mouth disease. Reports peaked in April to June and October to December, accounting for 49.9% and 38.3% of annual reports, respectively. Lanzhou city had the highest number of reported events at 339 (28.63%), with hotspot areas concentrated in Gaolan County, Yuzhong County, and Anning District. Outbreaks primarily occurred in primary schools (593 cases, 50.08%) and childcare institutions (179 cases, 15.12%).

From 2004 to 2023, the primary infectious disease outbreaks in Gansu Province were chickenpox, mumps, and hand, foot, and mouth disease, with peaks in April to June and October to December. It is essential to strengthen infectious disease prevention and control in hotspot areas, particularly in primary schools and childcare institutions.