To explore nonlinear effect of BMI and sleep duration on the risk of self-reported pain in Chinese elderly and explore their potential interactions.

The cohort study was conducted based on the Chinese health and retirement longitudinal study (CHARLS). Piecewise linear splines modeled nonlinear exposures, and competing risk models (Fine-Gray) analyzed associations between BMI, sleep duration, and self-reported pain, after adjusting for demographic characteristics, lifestyle factors, and health status with all-cause death as competing event.

Total of 4 409 elderly individuals were included, with a median follow-up of 3.1 years. During follow-up, 1 521 participants (34.50%) reported pain occurrence, and 199 (4.51%) died. Both underweight (BMI<20.0 kg/m²) and overweight/obese (BMI>26.9 kg/m²) were associated with a significantly increased short-term risk of pain (β=5.447, P<0.001; β=3.582, P<0.001), which gradually decreased over time (β=-1.436, P<0.001; β=-0.960, P<0.001). Similarly, short sleep (<6 hours) and long sleep (>9 hours) were associated with an elevated short-term pain risk (β=5.516, P<0.001; β=8.771, P<0.001), with the risk diminishing over time (β=-1.448, P<0.001; β=-2.354, P<0.001). Notably, long sleep duration exhibited the strongest effect. Interaction analysis revealed negative multiplicative interactions at baseline for underweight with short sleep (β=-1.953, P<0.001), overweight/obesity with short sleep (β=-1.326, P<0.001), and overweight/obesity with long sleep (β=-1.612, P<0.001), indicating that the short-term pain risk in these combined-risk groups was lower than the sum of their individual effects. However, time-interaction analysis showed that the pain risk in these combined-risk groups declined significantly slower over time compared to those with single risk factors (β=0.521, P<0.001; β=0.355, P<0.001; β=0.435, P<0.001), suggesting more persistent pain and slower recovery.

Abnormal BMI and abnormal sleep duration are significantly associated with an increased risk of pain requiring medication intervention in the Chinese elderly population, with long sleep duration showing the strongest association. Complex synergistic effects exist between abnormal weight and sleep problems: although combined-risk groups do not exhibit additive short-term pain risk, they experience prolonged pain duration and slower recovery, making them a high-risk population for pain chronification.

Based on the broad-spectrum targeted lipid group and metabolomics technology, the mechanism of citric acid (CA) antagonizing benzo[a]pyrene (B[a]P)-induced renal injury in mice was explored, which provided a new idea for the intervention of renal injury after B[a]P exposure.

Forty-eight healthy 4-week-old male C57BL/6 mice were randomly allocated into six groups, namely the control group, low/medium/high-dose B[a]P groups (2.5, 5, 10 mg/kg), citric acid group (400 mg/kg), and high-dose B[a]P+citric acid group, with 8 mice per group. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed for the detection of broad-spectrum targeted lipid profiling and metabonomics in renal tissues, and the contents of serum creatinine, serum uric acid and blood urea in renal samples were quantified. Pathological changes of the kidney were examined using HE staining.

The concentrations of creatinine, uric acid and urea in the kidney of the exposed mice increased (represented by peak area), and the urea concentration in the high-dose group (3 935 000±1 043 140.86) was significantly higher than that in the control group (2 706 250±385 484.39) (P<0.05). The renal pathological results of B[a]P exposure group were damaged, and the high-dose damage was serious. Compared with the control group, a total of 114 differential metabolites were identified in the kidney tissues of mice in the B[a]P high exposure group, which were mainly enriched in 32 metabolic pathways such as arachidonic acid, glutathione, and sphingolipids. After the intervention of citric acid, the renal creatinine, uric acid and urea concentrations in the high-dose B[a]P+citric acid group (10 625 750±6 541 890.63, 1 042 907.5±692 189.5, 1 849 501.25±1 150 570.62) were significantly lower than those in the high-dose group (19 150 000±3 523 796.65, 1 985 000±363 396.67, 3 935 000±1 043 140.86) (P<0.05), and the renal pathological damage was improved. Further omics studies showed that 106 differential metabolites were identified in the high-dose B[a]P+citric acid group compared with the high-dose B[a]P group, and 48 significantly reversed metabolites such as leukotriene B4, 15-hydroxyeicosatetraenoic acid, hydroxyproline, indoxyl sulfate, corticosterone, cytidine, guanylate and coenzyme Q10 were found in the intersection of differential metabolites in the high-dose B[a]P group. It was mainly enriched in arachidonic acid metabolism, steroid hormone biosynthesis, histidine, glutathione, arginine and proline, primary bile acid biosynthesis, taurine and hypotaurine, pyrimidine, purine, tyrosine, sphingolipid and unsaturated fatty acid biosynthesis and other metabolic pathways.

Citric acid can antagonize subchronic B[a]P-induced renal injury in mice by inhibiting inflammatory response, enhancing antioxidant capacity, regulating hormone and bile acid levels such as aldosterone and cortisol, and repairing energy and lipid metabolism homeostasis.

To investigate whether trichlorfon exposure induces hepatic injury and lipid accumulation by downregulating IRX5 expression.

Male SD rats were randomly divided into control, low-dose (10 mg/kg), and high-dose (25 mg/kg) trichlorfon gavage groups and exposed for 30 days. Serum liver function (ALT, AST) and blood lipids (TG, TC) were detected; liver histopathology and hepatocyte apoptosis were observed by H&E and TUNEL staining; RT-qPCR and Western Blot were used to detect the expression of inflammation, apoptosis, lipid metabolism-related genes, and IRX5; molecular docking was performed to predict the binding between trichlorfon and IRX5. In vitro experiments were conducted using HepG2 cells as a model, with 200 μM determined as the subtoxic concentration. Cells were divided into control, 200 μM trichlorfon treatment, and 200 μM trichlorfon combined with IRX5 overexpression (OE-IRX5) groups. Intracellular lipid droplets were observed by Oil Red O staining, cell viability was evaluated by CCK-8 assay, and lipid metabolism key proteins were detected by Western Blot.

Compared with the control group, the trichlorfon treatment group showed decreased body weight (P<0.001), significantly increased serum ALT, AST, TG, and TC levels (P<0.000 1); liver tissue exhibited inflammatory damage, increased hepatocyte apoptosis, upregulated lipid metabolism-related gene expression (P<0.001), and downregulated IRX5 expression (P<0.01). Molecular docking showed that the binding energy between trichlorfon and IRX5 was-7.43 kcal/mol. In vitro experiments, 200 μM trichlorfon induced lipid droplet accumulation and downregulated IRX5 (P<0.05); IRX5 overexpression significantly reduced lipid accumulation, partially restored cell viability, and improved lipid metabolism disorder.

Chronic trichlorfon exposure causes hepatic injury and lipid accumulation in rats, potentially through downregulation of IRX5 expression. These findings implicate IRX5 as a critical mediator in trichlorfon-induced hepatotoxicity and metabolic disruption.

To analyze the epidemiological characteristics of mushroom poisoning in Guizhou Province from 2017 to 2024. To compare the predictive performance of the Seasonal Autoregressive Integrated Moving Average model (SARIMA) versus the combined Seasonal Autoregressive Integrated Moving Average-Support Vector Regression (SARIMA-SVR) model in forecasting incidence trends.

Data on mushroom poisoning events from 2017 to 2024 were obtained from the Foodborne Disease Outbreak Surveillance System of Guizhou Province for descriptive epidemiological analysis. Using data from 2017 to 2023 as the training ser and data from 2024 as the testing set, SARIMA and SARIMA-SVR combined models were constructed. Model performance was evaluated using mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE).

A total of 2 694 mushroom poisoning outbreaks were reported during 2017 to 2024 Guizhou Province, involving 8 987 cases and 31 deaths. Mushroom poisoning is highly prevalent summer and autumn (June to September), with higher rates observed in the northeastern region. The most affected age group was 20 to 59 years, and households were primary setting of occurrence. In terms of model predictive performance, the SARIMA model could relatively well capture the overall trend of incidence, but the SARIMA—SVR combined model exhibited superior predictive performance.

Mushroom poisoning remains highly prevalent in Guizhou Province, exhibiting distinct seasonal and geographical patterns. The SARIMA-SVR combined model provides better forecasting accuracy and can serve as a valuable tool for surveillance, early warning, and preventive interventions.

To analyze the evolution of the disease burden of neck pain in China from 1990 to 2023 and to quantify the effects of age, period, and cohort.

Utilizing data from the Global Burden of Disease (GBD) 2023 study, the annual percentage change was calculated using Joinpoint regression. An age-period-cohort (APC) model was employed to analyze temporal trends in disease burden and to assess its effects.

From 1990 to 2023, the number of prevalent cases of neck pain in China increased from 266.42×10⁶ to 487.71×10⁶. The standardized prevalence increased from 2 479.65 per 100 000 to 2 504.27 per 100 000, with an AAPC of 0.037 5%. The standardized incidence rate among males declined from 491.97 per 100 000 in 1990 to 486.84 per 100 000 in 2023, corresponding to an AAPC of-0.020 7%. The standardized DALYs rate rose from 245.89 per 100 000 to 248.78 per 100 000, with an AAPC of 0.037 6%. A significant reconstruction was observed in the age distribution of disease burden: the peak age across all burden indicators shifted from 35-39 years in 1990 to 55-59 years in 2023, and the standardized rates were significantly higher in females than in males. The APC model indicated that the local drift values for the population aged over 45 years were greater than zero, reflecting a positive growth in risk. The period effect revealed that risk reached a historical high during 2019-2023.

The disease burden of neck pain in China is transitioning from a pattern of “high incidence among young and middle-aged adults” to one marked by “a shift toward older age groups” The absolute burden in terms of case numbers remains substantial due to population aging. This study is the first to elucidate the age restructuring and spatiotemporal evolution of the neck pain burden, identify middle-aged and older women and specific birth cohorts as high-risk groups. The findings provide critical evidence for informing national strategies on the prevention and control of orthopedic chronic conditions and for optimizing the allocation of healthcare resources in China.

To assess the global burden of myocarditis among individuals aged 15-49 years from 1990 to 2021 and to project disease trends up to 2050, providing a basis for prevention and control.

Based on the Global Burden of Disease (GBD) 2021 database, the assessment employed age-standardized rates, joinpoint regression, correlation analysis with the Socio-demographic Index (SDI), and a Bayesian prediction framework.

In 2021, the global age-standardized prevalence rate (ASPR) of myocarditis in this population showed an upward trend, while the age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life years (DALYs) rate decreased significantly. The burden was higher among males. The highest ASPR was observed in high-SDI regions, and the most significant mortality risk was found in middle-high SDI regions. The number of cases is projected to potentially increase by 2050, although the standardized rates are expected to continue declining.

Targeted intervention strategies for high-risk populations and regions are necessary, along with improving medical standards in low-SDI areas and reducing health inequalities through global cooperation.

To systematically compare the differences and temporal trends in the burden of lower respiratory infections (LRIs) between China and G20 countries from 2010 to 2023, and to provide scientific evidence for the formulation of targeted prevention and control strategies.

Data on incidence, mortality, and disability-adjusted life years (DALYs) of LRIs in China and G20 countries during 2010-2023 were extracted from the Global Burden of Disease (GBD) 2023 database. Statistical analysis was conducted using R software (version 4.4.2), and the estimated annual percentage change (EAPC) was calculated based on a log-linear regression model to assess time trends. Decomposition analysis was applied to quantify the contributions of population growth, population aging, and epidemiological changes to disease burden. The attributable proportions and temporal variations of major risk factors were also evaluated.

From 2010 to 2023, the burden of lower respiratory infections showed a significant downward trend in both China and G20 countries, with a faster decline observed in China for mortality and DALYs (EAPCs: -5.29 and-8.66 vs-3.17 and-4.07, respectively). Decomposition analysis indicated that epidemiological changes were the primary driver of the reduction in disease burden, while population aging and growth exerted relatively limited positive effects. Risk factor analysis revealed that air pollution and tobacco exposure were the major attributable factors. In China, the proportion attributable to ambient particulate matter pollution showed an increasing trend, whereas that attributable to household solid fuel pollution decreased significantly. Children (<5 years) and older adults (≥75 years) were identified as the key populations bearing the disease burden, with males having a slightly higher burden than females.

The burden of lower respiratory infections in China has declined more rapidly than the G20 average; however, the impacts of ambient particulate matter pollution and tobacco exposure have become increasingly prominent. Strengthening air quality management and tobacco control measures, with particular focus on protecting children and the elderly, is essential to further reduce the disease burden.

To investigate the longitudinal association between long-term levels of the C-reactive protein-triglyceride-glucose index (CTI) and changes in sarcopenia status among middle-aged and older adults in China.

This study was based on data from the baseline survey and the second follow-up of the China Health and Retirement Longitudinal Study (CHARLS). Long-term CTI levels were characterized using k-means clustering-derived categories and cumulative CTI. Changes in sarcopenia status were defined according to sarcopenia status at baseline and at follow-up. Multivariable logistic regression models were used to examine longitudinal associations. Stratified analyses were performed, and dose–response relationships were assessed using restricted cubic spline models.

A total of 3 377 middle-aged and older participants who met the inclusion and exclusion criteria were included in the analysis. K-means clustering classified long-term CTI levels into three groups: persistently low, persistently moderate, and persistently high. Compared with the persistently low CTI group, individuals with persistently high CTI levels had a significantly higher risk of sarcopenia progression (OR=1.66, 95%CI: 1.07~2.57; P<0.05), with generally consistent directions across subgroups. Using the median cumulative CTI (14.29) as the reference, the risk of sarcopenia progression initially decreased and then increased with increasing cumulative CTI, with a elevation in risk within the range of 15~17. The highest risk was approximately 1.53 times that of the reference value (OR=1.53, 95%CI: 1.17~1.99; P<0.05).

Among middle-aged and older adults in China, persistently high long-term CTI levels are associated with an increased risk of sarcopenia progression, providing epidemiological evidence to support the prevention of the onset and progression of sarcopenia.

To evaluate the efficacy of dance therapy for patients with dementia, and to provide evidence-based guidance for developing clinical intervention protocols.

A comprehensive search was conducted across Chinese and English databases including CNKI, Wanfang, PubMed, and Embase for randomized controlled trials on dance therapy in patients with dementia. The search covered the period from database inception to April 30, 2025. Meta-analysis was performed using RevMan 5.3 software.

Meta-analysis revealed that dance therapy improved the Mini-Mental State Examination score (MD=1.05, P<0.001), Montreal Cognitive Assessment score (MD=2.09, P<0.001), and Wechsler Logical Reasoning Test scores (MD=2.54, P<0.001). It also reduced Geriatric Depression Scale scores (SMD=-0.49, P<0.001) and activities of daily living scores (SMD=-0.59, P=0.04).

Current evidence suggests that dance therapy may improve cognitive function, reduce depression, and enhance activities of daily living in patients with dementia. Given the quality and quantity of the studies, further high-quality research is needed to substantiate these findings.

To investigate the association between very-low-density lipoprotein cholesterol (VLDL-C) and its components with atherosclerotic cardiovascular disease (ASCVD) risk in long-term breast cancer survivors.

This study included 2 333 female participants with a history of breast cancer diagnosed at least 3 years before baseline in the UK Biobank. Cox proportional hazards models were used to assess the associations of VLDL-C and its components, cholesteryl ester (VLDL-CE) and free cholesterol (VLDL-FC), with ASCVD incidence.

During a median follow-up of 13.9 years, 238 participants developed ASCVD. Compared with the lowest quartile, participants in the highest quartile of VLDL-C had a 61% higher risk of ASCVD (HR=1.61, 95%CI: 1.09-2.37). Similar associations were observed for VLDL-CE and VLDL-FC, with a stronger effect for VLDL-FC. Subgroup analyses revealed that the association between VLDL-C and ASCVD was more significant among participants receiving cancer treatment.

Among long-term breast cancer survivors, elevated VLDL-C and its components are positively associated with ASCVD risk, suggesting their potential as biomarkers for cardiovascular risk assessment in this population.