To explore the influence mechanism of adverse childhood experiences on the depression status of the elderly and test the mediating role of self-care ability between them.

Using data from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS), 1 811 elderly individuals aged 65 and above were included in the survey. The CES-D10 scale was used to assess the depression score, adverse childhood experiences were quantified through childhood lack of medical treatment and hunger experiences, and the activities of daily living (ADL) limitation index was used to measure self-care ability. Linear regression was used to analyze the direct associations among variables, and Process 4.2 Model 4 was used to analyze the mediating effect of self-care ability between adverse childhood experiences and the depression status of the elderly,while controlling for covariates.

The number of childhood adverse experiences showed a significant positive correlation with depression scores, with a total effect value of 0.461 (95% CI: 0.093-0.830). Self-care ability showed a partial mediating effect, with an mediation effect of 0.050 (95% CI: 0.003-0.108), accounting for 10.90% of the total effect.

Adverse childhood experiences can directly (89.10%) or indirectly through impairing self-care ability (10.90%) jointly increase the depression level of the elderly. It is recommended to implement early intervention throughout the life course, incorporating self-care ability maintenance into the core of elderly mental health services. The intervention measures should focus on vulnerable elderly populations, and through early screening and targeted intervention, improve psychological resilience, strengthen social support, and alleviate the long-term negative effects of childhood adversity.

To reveal fluctuation patterns and cyclical characteristics of viral hepatitis incidence in China and to forecast its short-term trend, thereby supporting the optimization of prevention and control strategies.

Based on the monthly incidence data of viral hepatitis in China from January 2015 to January 2025 by the National Disease Control and Prevention Bureau, this study employed the Census X-13 Seasonal Adjustment Method to analyze the epidemiological patterns and temporal trends of viral hepatitis during this period. The HP filter was applied to dissect the cyclical patterns of incidence.Forecasting was conducted using a machine learning model (long short-term memory, LSTM) and a time-series model(SARIMA), and and the predictive performance of the models was evaluated.

The number of viral hepatitis cases showed an overall increasing trend, with clear seasonal fluctuations observed each year, and the annual peak occurred in March—April. From January 2015 to January 2025, the incidence of viral hepatitis in China was divided into three complete cyclical cycles, with an average cycle length of 40 months. Notably, the amplitude of these cyclical fluctuations was unstable over time.The mean relative prediction errors for the LSTM model and the SARIMA model were 6.37% and 6.71%, respectively. The LSTM model demonstrated lower root mean square error and mean absolute error, indicating superior predictive performance.

Combining cyclical analysis and machine learning models can effectively improve prediction accuracy,contributing to achieving the goal of “Healthy China 2030”.

To analyze the impact of low-density lipoprotein cholesterol (LDL-C) levels on all-cause mortality and cardio-cerebrovascular mortality in patients with hypertension and its comorbidities.

Univariate analyses were performed using the χ² test, and Cox proportional hazards regression models were used to analyze the impact of LDL-C levels on the all-cause and cardio-cerebrovascular mortality risks of patients with hypertension and its comorbidities.

Multivariable Cox regression analysis showed that among patients with hypertension, compared with the first quartile group (Q1)of LDL-C, the risk of all-cause mortality increased by 75% in the third quartile group (Q3) and by 165% in the fourth quartile group (Q4), and the risk of cardio-cerebrovascular death increased by 96.4% in the Q4 group. Among the patients with comorbidities, the all-cause mortality risks of groups Q2, Q3, and Q4 were 1.601 times, 2.082 times, and 2.874 times that of group Q1, respectively. The cardio-cerebrovascular mortality risk of group Q4 was 2.592 times that of group Q1. The restricted cubic spline (RCS) model indicated that the LDL-C level was linearly correlated with the risk of all-cause and cardio-cerebrovascular death in patients with hypertension and its comorbidities. Among them, for patients with hypertension, the risk significantly increased when LDL-C exceeded 2.713 mmol/L (for all-cause mortality) and 2.650 mmol/L (for cardio-cerebrovascular mortality). For patients with comorbidities, the risk increased when LDL-C was higher than 2.016 mmol/L (for all-cause mortality) and 2.020 mmol/L (for cardio-cerebrovascular mortality).

Serum LDL-C levels are an independent risk factor for all-cause and cardio-cerebrovascular deaths in patients with hypertension and its comorbidities.This study reveals the dose-response relationship between LDL-C levels and mortality, providing an important scientific basis for more stringent lipid-lowering intervention strategies in clinical practice.

To evaluate the causal relationships between gut microbiota, blood metabolites, and pregnancy depression using Mendelian randomization (MR).

Using genome-wide association study data from East Asian populations, a two-sample MR approach was employed to assess the causal effects of 216 species of gut microbiota and 61 blood metabolites on pregnancy depression. Reverse MR analysis evaluated the impact of pregnancy depression on the identified gut microbiota species and blood metabolites, thereby excluding reverse causality bias.

The study identified causal associations between 11 gut microbiota species and 4 blood metabolites with pregnancy depression. Among these, five gut microbiota species(Akkermansia muciniphila, Desulfovibrio piger, Providencia rettgeri, Clostridium phytofermentans, and Ruminococcus obeum) and two blood metabolites (glutamine and α-aminobutyric acid) were identified as protective factors against pregnancy depression.Conversely, 6 gut microbiota species (Streptococcus pneumoniae, Blautia hansenii, Bacteroides xylanisolvens, Eubacterium dolichum, Prevotella veroralis, and Streptococcus vestibularis) and two blood metabolites (aldosterone and phenylalanine) were identified as risk factors. Reverse MR analysis found no evidence of reverse causality.

This study identifies 11 gut microbiota species and 4 blood metabolites that may represent promising therapeutic targets for pregnancy depression in East Asian populations.

To examine the associations between serum uric acid and all-cause, cardiovascular, and cancer mortality among hypertensive adults using diuretics.

We included hypertensive adults who reported diuretic use across 10 cycles (1999—2018) of the National Health and Nutrition Examination Survey (NHANES). Weighted Kaplan-Meier curves,Cox proportional hazards regression models, and restricted cubic splines were applied to examine the associations between serum uric acid levels and all-cause, cardiovascular, and cancer mortality. Subgroup analyses were conducted.

Among 3 744 hypertensive adults treated with diuretics, we prospectively observed a mean follow up of 7.9 years and recorded 1 428 deaths from all causes, including 563 cardiovascular deaths and 248 cancer deaths. Weighted Kaplan-Meier analyses indicated a significantly higher cumulative incidence of all cause, cardiovascular, and cancer mortality in the hyperuricemia group versus the non-hyperuricemia group (P<0.05). After adjustment for covariates, elevated serum uric acid levels were associated with increased risks of all-cause and cardiovascular mortality, with hazard ratios (HRs) of 1.05 (95% CI: 1.01-1.09) and 1.10 (95% CI: 1.02-1.18), respectively. Weighted restricted cubic splines revealed linear dose-response relationships between serum uric acid levels and both all-cause and cardiovascular mortality (P for nonlinear >0.05). Subgroup analyses were consistent and showed no interactions (P>0.05). Uric acid levels were not significantly associated with cancer mortality.

Among hypertensive diuretic users, serum uric acid is linearly and positively associated with risks of all-cause and cardiovascular mortality.

To quantify the health benefits of simulated interventions to residential greenness exposure on the prevalence of hypertension (HTN), and to provide scientific evidence for the construction of a reasonable and effective healthy city planning system.

Based on the normalized difference vegetation index (NDVI) exposure levels at the county level in China, population distribution, and NDVI-HTN relative risk data, the Miettinen formula was used to evaluate the degree of reduction in HTN prevalence caused by equal amounts, static, dynamic and modified intervention NDVI.

The number of prevalent HTN cases decreased by 13.99% (13.97%-14.01%), 25.97% (25.92%-26.02%) and 36.00% (35.88%-36.11%)for every 0.10, 0.20, or 0.30 units increase of NDVI exposure in the study population. When NDVI was elevated to the maximum observation value (0.82) or above P₇₅, 20.84% (17.11%-24.58%) and 6.21% (5.82%-6.59%) of HTN cases could be prevented.

All four greenness intervention schemes can reduce the prevalence of HTN. Among them, the equal intervention effect is better. In the future, a multi-dimensional and collaborative hypertension prevention and control strategy could be developed.

This study aims to identify independent risk factors for pulmonary nodules in a manufacturing workers and to develop and validate a risk prediction model based on key variables. The goal was to provide a quantitative tool for the early identification of high-risk individuals within occupational groups.

A cross-sectional analysis was performed involving 581 employees from a manufacturing enterprise. The cohort comprised 397 individuals without pulmonary nodules and 184 with nodules. Univariate analysis and multivariable logistic regression (forward stepwise method) were used to identify independent predictors and construct the prediction model. The performance of individual variables and the combined model was assessed using receiver operating characteristic (ROC) curve analysis.

Multivariable analysis identified female sex(OR=2.100, 95% CI: 1.163-3.791, P=0.014), smoking (OR=5.757, 95% CI: 3.552-9.332, P<0.001), and years of service (OR=1.113 per year, 95% CI: 1.084-1.143, P<0.001) as significant independent risk factors for pulmonary nodules. The combined prediction model yielded an area under the curve (AUC) of 0.801 (95% CI: 0.762-0.840), with a sensitivity of 62.50% and a specificity of 87.15%.

The risk prediction model, incorporating female sex, smoking history, and longer years of service, exhibits robust discriminative capability. It shows promise as a practical tool for the early screening of pulmonary nodules in occupational populations, such as those in manufacturing. Further external validation in broader and more diverse populations is warranted.

To determine the concentrations of 24 per- and polyfluoroalkyl substances (PAFs) in marine and freshwater shrimp sold in Tianjin and to characterize their pollution profiles.

The concentrations of PFASs in the samples was determined by UPLC-MS/MS. Descriptive statistics were applied, and non-parametric tests were used to compare concentrations.

A total of 67 samples of marine shrimp and 105 samples of freshwater shrimp were tested. A total of 14 kinds of PFASs were detected in marine shrimp, and the ∑PFASs concentration ranged from 0.160 to 43.4 μg/kg. The overall detection rate of PFASs pollutants was 100%. 17 kinds of PFASs were detected in freshwater shrimp, and the ∑PFASs concentration ranged from 0.135 to 27.9 μg/kg. The overall detection rate of PFASs pollutants was 99%. The main detected components in the two types of shrimp aquatic products were all long-chain PFASs. The number of PFASs detected in a single sample of marine shrimp ranged from 1 to 11, while that in a single sample of freshwater shrimp ranged from 0 to 13. Among them, PFOS, PFOA and PFNA were the main pollutant components, while 6:2Cl-PFESA and 8:2Cl-PFESA were both detected to a certain extent. Through comparison, it was found that the pollution of river shrimp among freshwater shrimp was relatively serious.

There is a certain degree of PFASs pollution in the shrimp aquatic products sold in Tianjin. In-depth research, attention and strengthened management should be carried out.

To investigate the epidemiological characteristics and trends of foodborne disease outbreaks in Guizhou Province from 2012 to 2024, providing evidence for scientific prevention and control.

Data on foodborne disease outbreaks in Guizhou Province from 2012 to 2024 were collated and subjected to descriptive analysis. The Joinpoint model was employed to analyse long-term trends in incidence and mortality from foodborne diseases. Seasonal patterns were revealed using the coefficient of concentration (M) and circular distribution analysis.

Between 2012 and 2024, Guizhou Province recorded 4 951 foodborne disease outbreaks, with an annual incidence rate of 4.10 per 100 000 population and a case fatality rate of 0.67%. The overall incidence rate showed a persistent upward trend,while the mortality rate exhibited a persistent downward trend. The average annual percentage change (AAPC) for both indicators equalled the annual percentage change (APC), at 13.37% and -14.42%, respectively (P<0.05). The incidence was notably high and increasing among individuals aged 20-59 years. Tongren, Zunyi, and Qiandongnan prefectures exhibited higher incidence rates with an upward trend, showing AAPCs of 12.82%, 13.76%, and 13.19%, respectively (P<0.05). The highest number of cases occurred in 2023, exhibiting seasonal patterns (M=0.443) with a peak date on 2 July and a peak period from 18 April to 15 September.The incidence of foodborne diseases caused by poisonous mushrooms and toxic plants showed an upward trend, with AAPCs of 21.91% and 17.37%, respectively (P<0.05).

From 2012 to 2024, Guizhou Province witnessed an overall upward trend in the incidence rate of foodborne disease outbreaks, accompanied by a downward trend in mortality rates. Incidence patterns varied across different regions and causative agents. Given the seasonal nature of foodborne disease outbreaks, it is recommended that targeted prevention and control measures be implemented prior to peak incidence periods.

To investigate the relationship of children’s sleep quality and consumption behavioral intention of sugar-sweetened beverages in Chengdu. Based on the theory of planned behavior (TPB), this study explores the parallel mediating effects of behavioral attitude, subjective norm and perceived behavioral control on the relationship between children’s sleep quality and consumption behavioral intention of sugar-sweetened beverages.

The Pittsburgh Sleep Quality Index(PSQI) was used, based on the TPB and relevant literature on the influencing factors about children’s consumption behavior of sugar-sweetened beverages, a survey questionnaire was developed to investigate the behavioral attitude, subjective norm,perceived behavioral control and behavioral intention of children’s consumption of sugar-sweetened beverages. In October 2024, a multi-stage stratified cluster random sampling method was used to select 2021 students from grades 3-5 of four schools in Chengdu as the research subjects. Pearson correlation analysis was used to investigate the relationship between children’s PSQI, behavioral attitude, subjective norm, perceived behavioral control and consumption behavioral intention of sugar-sweetened beverages. Under the control of gender, grade and region, the Bootstrap method was run using SPSS PROCESS component Model 4 to examine the mediating effects of attitude, subjective norm, and perceived behavioral control on the relationship between children’s PSQI and intention to consume sugar-sweetened beverages.

There were differences in the scores of children’s consumption behavioral intention of sugar-sweetened beverages among different gender, grade and region. There was a significant positive correlation between children’s consumption behavioral intention of sugar-sweetened beverages and their behavioral attitude, subjective norm, perceived behavioral control, PSQI (r=0.588, r=0.624, r=0.552, r=0.165; P<0.001). Under the control of gender, grade and region, the mediating effect of children’s attitude, subjective norm, and perceived behavioral control towards sugar-sweetened beverages consumption behavior between PSQI and behavioral intention was significant, with an indirect effect of 0.136, accounting for 68.69% of the total effect.

Sleep quality affects children’s consumption behavior intention of sugar-sweetened beverages, and attitude, subjective norm and perceived behavioral control of children’s sugar-sweetened beverages consumption behavior have parallel mediating effects between sleep quality and behavioral intention.