To investigate the longitudinal relationship between physical function, impairment in activities of daily living, and depressive symptoms among middle-aged and older adults in China, as well as to explore the mediating role of self-rated health.

Data from the China Health and Retirement Longitudinal Study (CHARLS) national cohort from 2013 to 2020 were analyzed, including 7 899 participants aged 45 and older. The Cox proportional hazards regression model was employed to analyze the longitudinal association between impairment and depressive symptoms. The Process macro model 4 was used to construct the model, examining the mediating effect of self-rated health, with the Bootstrap method applied to test the significance of the mediation effect.

After adjusting for confounding factors, the Cox proportional hazards regression results indicated that the risk of depressive symptoms for individuals with only physical function impairment, only activities of daily living impairment, and dual impairment was 1.408 times (95%CI: 1.284-1.543), 1.447 times (95%CI: 1.166-1.795), and 1.825 times (95%CI: 1.636-2.034) higher, respectively, compared to those without impairment (P<0.001). Self-rated health played a significant partial mediating role in the relationship between the two, with the effect size being the largest in the group with only physical function impairment at 24.29%, followed by the dual impairment group at 17.02%, and the group with only activities of daily living impairment at 12.15%.

There is a longitudinal relationship between physical function, activities of daily living impairment, and depressive symptoms among middle-aged and older adults. Additionally, self-rated health serves as a partial mediator in this relationship. Implementing targeted interventions to delay the aging of physical functions and improve self-rated health can effectively control the occurrence and progression of depression in this population, facilitating a shift towards preventive measures.

To explore the impact pathways of cognitive decline, risk perception, and self-efficacy on the safe medication practices of empty nesters, utilizing the risk perception attitude framework theory.

A stratified cluster random sampling method was employed to conduct a questionnaire survey involving 361 empty nesters. Multiple linear regression analysis and structural equation modeling were used to construct the impact pathways.

The average score for safe medication practices among empty nesters was 30.59±3.61. Path analysis revealed that cognitive decline directly predicted safe medication practices (β=-0.134) and also indirectly influenced these practices through risk perception and self-efficacy. This included the independent mediating effects of self-efficacy (β=-0.066) and risk perception (β=-0.131), as well as the chain mediating effect of risk perception and self-efficacy (β=-0.088) (all P<0.05).

The level of safe medication practices among empty nesters urgently needs improvement, particularly focusing on those with cognitive decline. Enhancing self-efficacy and correcting risk perception biases may elevate safe medication practices among cognitively impaired empty nesters.

To investigate the chain mediating effects of sedentary behavior and smoking on the relationship between screen exposure and visceral fat index in adult men.

Data were collected from the 2020 Chronic Disease Risk Factor Survey in Guizhou Province, focusing on male participants. A health behavior questionnaire was employed to gather information on electronic screen exposure time, sedentary behavior, and smoking quantity. Laboratory indicators were used to assess blood lipid levels, while physical measurements provided data on height, weight, and waist circumference. A correlation coefficient matrix was constructed to analyze the relationships among variables, and a multiple mediation model was developed to explore the mediating pathways of sedentary time and smoking in the relationship between screen exposure and visceral fat index. The PROCESS plugin in SPSS was used to test the chain mediation effects via the bootstrap method, and the mediation pathways were illustrated using Amos.

A total of 1 174 subjects were included in the study. After controlling for age, urban/rural status, education level, marital status, and occupation, regression results indicated a significant direct effect of screen exposure on the visceral fat index in men (β=0.232, 95%CI: 0.915-0.270). Sedentary time (β=0.046, 95%CI: 0.038-0.055) and smoking quantity(β=0.031, 95%CI: 0.004-0.059) were also found to significantly influence the visceral fat index. The mediation analysis revealed that the simple mediating effects of sedentary time and smoking between screen exposure and the visceral fat index were 0.018(95%CI: 0.020-0.033) and 0.056 (95%CI: 0.042-0.072), respectively, while the chain mediation effect was 0.009 (95%CI:0.003-0.014).

Sedentary behavior and smoking exhibit mediating effects in the relationship between screen exposure and visceral fat index in men. As screen exposure is a prevalent lifestyle factor, it is crucial for men to reduce smoking and sedentary behaviors during screen time to mitigate the occurrence of visceral obesity.

To understand the current status and trends of the burden of mushroom poisoning diseases in Guizhou Province from 2011 to 2023, providing a basis for the formulation of rational prevention and control measures.

A descriptive analysis was conducted on mushroom poisoning incident data from the “Foodborne Disease Outbreak Monitoring System” in Guizhou Province from 2011 to 2023. The mushroom poisoning mortality data were organized by gender, age, and year. The World Health Organization’s Excel template was used to calculate Years of Life Lost (YLLs) due to premature death, and the human capital method was employed to estimate the indirect economic burden caused by mushroom poisoning in Guizhou Province. The Join point regression model was utilized to analyze the temporal trends in incidence rates, mortality rates, and YLLs rates of mushroom poisoning.

From 2011 to 2023, Guizhou Province reported a total of 2 518 mushroom poisoning outbreaks, affecting 8 716 individuals and resulting in 97 deaths, with a mortality rate of 0.25 per 100 000 population. The total YLLs for the entire population was 2 139 person-years, with a YLLs rate of 5.55 person-years per 100 000; YLLs and YLLs rates for males were higher than those for females. The highest YLLs were observed in the 45 to <60 age group, while the highest YLLs rate was found in the 60 to <70 age group. The overall indirect economic burden of the 97 mushroom poisoning deaths in Guizhou Province was 40.8 569 million yuan, averaging 421 200 yuan per case. From 2011 to 2023, the incidence rate of mushroom poisoning in Guizhou Province showed a continuous upward trend, while both the mortality rate and YLLs rate exhibited a continuous downward trend, with annual percentage changes (APC) of 26.79%, -17.76%, and -16.70%, respectively (P<0.05).

The incidence rate of mushroom poisoning in Guizhou Province is on a continuous rise, with higher YLLs in males compared to females and the highest YLLs observed in the 45 to <60 age group, corresponding to a significant indirect economic burden. It is essential to enhance effective public education and continue to strengthen medical treatment to reduce the occurrence of toxic mushroom poisoning.

To explore the association between the Sleep Regularity Index (SRI) and central obesity, as well as the differences among different age and gender groups, to provide a reference for research on sleep regularity and central obesity in the population.

A questionnaire survey and objective sleep monitoring were conducted among individuals aged 40 to 65 who underwent health check-ups at the First People’s Hospital of Fuquan city from March to November 2022, ultimately including 522 participants with complete data. The association between SRI and the risk of central obesity was assessed using a non-conditional binary logistic regression model and restricted cubic splines, along with subgroup analyses based on gender and age.

Among the participants included in the study, 331 individuals (64.41%) were classified as having central obesity. After adjusting for confounding variables, the results from the restricted cubic splines indicated that when the SRI score exceeded 72.67, the risk of central obesity gradually decreased with increasing SRI scores. The non-conditional binary logistic regression model revealed that individuals with more regular sleep patterns had a lower risk of central obesity compared to those with severely irregular sleep patterns. Compared to the lowest SRI quartile (Q1), the odds ratios (OR) for Q3 and Q4 were 0.56(95%CI: 0.32-0.99) and 0.51 (95%CI: 0.29-0.90), respectively. Subgroup analyses showed that in male participants and those aged 50 and above, the risk of central obesity decreased with more regular sleep patterns. In males, compared to Q1, the OR for Q3 was 0.41 (95%CI: 0.19-0.91) and for Q4 was 0.37 (95%CI: 0.16-0.86). In the population aged ≥50, the OR for Q3 was 0.41(95%CI: 0.19-0.89) and for Q4 was 0.31 (95%CI: 0.14-0.71). Sensitivity analyses yielded consistent results.

There is a certain association between sleep regularity, as assessed by the SRI and central obesity. Higher SRI scores are associated with a lower risk of developing central obesity, particularly in males and individuals aged 50 and above.

To investigate the epidemiological trends of high-risk human papillomavirus (HR-HPV) in Toli county, Xinjiang, using a transmission dynamics model, and to quantitatively assess the impact of bivalent vaccine interventions, to provide a reference for the prevention of HR-HPV infections and vaccination strategies.

A transmission dynamics model was established based on the natural history of HPV infection. Data on cervical cancer screening in Toli county were collected, and simulations were conducted under scenarios of no intervention and bivalent vaccine coverage rates of 50%, 60%, and 70%to predict the infection rates, peak infection values, and the number of cancer patients. The future trends of infections and cervical cancer patients over the next 20 years were also forecasted.

A total of 12 549 women underwent cervical cancer screening, with 1 744 cases of HR-HPV infection, resulting in a cumulative infection rate of 13.9%. In the absence of intervention, the predicted infection rate at the end of the study was 16.33%, with an estimated 1 914 infections and 294 cancer patients in a total population of 11 666. With bivalent vaccine coverage rates of 50%, 60%, and 70%, the predicted final infection rates were 15.31%, 15.07%, and 14.82%, respectively, with corresponding numbers of cervical cancer patients being 185, 164, and 142, and total populations of 11 949, 12 005, and 12 061, respectively. Sensitivity analysis of key parameters indicated that a higher clearance rate was more effective in reducing the number of infections, and a lower rate of recovered individuals becoming susceptible again led to fewer infections.

Implementing vaccination and increasing coverage rates can reduce the number of HR-HPV infections and cervical cancer patients in Toli county, which may help mitigate the decline in the total population. Emphasis should be placed on measures to improve clearance rates when preventing HR-HPV infections, as the effectiveness of further increasing clearance rates on infection control will gradually diminish.

To explore the influencing factors and improvement paths for the equity of public health human resource allocation in China, providing references for accelerating the development of the public health talent workforce.

The study assessed the equity of public health human resource allocation in China from 2019 to 2021 through concentration degree evaluation and employed fuzzy set qualitative comparative analysis to investigate the pathways affecting its equity.

There were 11 configurations in the high equity group for public health human resource allocation from 2019 to 2021, with a total consistency and total coverage of 0.97 (>0.8) and 0.66 (>0.5), respectively, indicating a strong explanatory power of the model. Population concentration emerged as a core condition across all configurations.

The equity of public health human resource allocation results from a combination of multiple factors, with identifiable key directions. Among these, population concentration is a core factor, while institutional allocation levels and government health expenditures serve as important leverage points. The synergistic effects among various elements, including institutions, individuals, society, and government, contribute to achieving high equity in public health human resource allocation.

To establish a method for detecting four arsenic species—As (III), DMA, MMA, and as (V)—in seafood using liquid chromatography-atomic fluorescence spectrometry (LC-AFS).

The detection conditions were optimized, including the type and concentration of the carrier liquid, concentration of potassium borohydride, lamp current, negative high voltage, mobile phase concentration, and pH. Parameters of the established detection method were evaluated, including linear range, accuracy, precision, and detection limit.

Under the conditions of 5% hydrochloric acid, 5 g/L sodium hydroxide-20 g/L potassium borohydride, a negative high voltage of 270 V, lamp main current of 60 mA, mobile phase A as ammonium dihydrogen phosphate (1 mmol/L, pH 8.5), and mobile phase B as ammonium dihydrogen phosphate (25 mmol/L, pH 8.0), the linear range for As(III), DMA, MMA, and As(V) was 0-100 μg/L, with correlation coefficients exceeding 0.999. The relative standard deviation (RSD) for retention time ranged from 0.2% to 1.2%, while the RSD for peak area ranged from 2.1% to 4.4%. The recovery rate for spiked samples was between 81.2% and 111.6%.

The method demonstrates high sensitivity, accuracy, and precision, with a short analysis time and high detection efficiency, while requiring minimal reagent usage, yielding satisfactory results.

To analyze relevant data on the burden of appendicitis among individuals aged 70 and above in China from 1990 to 2019, describe its current status and epidemiological trends, and provide scientific evidence for exploring prevention and treatment strategies for appendicitis in the elderly population in China.

Utilizing the 2019 Global Burden of Disease data, this study analyzed the incidence, mortality, and disability-adjusted life years (DALY) of appendicitis in individuals aged 70 and above in China from 1990 to 2019. The Join point regression model was used to calculate the average annual percentage change (AAPC).

From 1990 to 2019, the incidence of appendicitis among individuals aged 70 and above in China exhibited a year-on-year increasing trend, with the most significant rise occurring between 2000 and 2005. In contrast, both the mortality rate and DALY rate showed a declining trend during the same period, with a substantial decrease starting in 2004. However, the decline rate has slowed down since 2008. Among different gender and age group compositions, the highest incidence was observed in the 70-74 age group, with a higher incidence in females compared to males. Conversely, the highest mortality and DALY rates were found in the 85-89 age group, with both rates being higher in males than in females.

Since 1990, the burden of mortality and DALY due to appendicitis among individuals aged 70 and above in China has gradually decreased, yet the incidence remains at a relatively high level. Therefore, it is essential for China to adopt various prevention and treatment strategies for the elderly population to reduce the disease burden of appendicitis in those aged 70 and above.

To analyze the impact of multi-level social capital on the subjective well-being of rural middle-aged and elderly individuals, exploring the roles of different levels of social capital.

Utilizing data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), a multi-level linear model was constructed to investigate how individual social capital and community social capital influence the subjective well-being of rural middle-aged and elderly individuals. Instrumental variables were employed to validate the causal relationship between these dimensions.

In the null model, the intra-class correlation coefficient (ICC) was 0.135, indicating community-level differences in the subjective well-being of rural middle-aged and elderly individuals. The multi-level linear model revealed that both individual social capital and community social capital positively affected the subjective well-being, with regression coefficients of 0.018 (P<0.05) and 0.001 (P<0.05), respectively. Factors such as age, marital status, self-rated health, physical disabilities, health insurance, and education level significantly influenced subjective well-being, with regression coefficients of 0.118 (P<0.001), 0.051 (P=0.022), 0.181 (P<0.001), -0.155 (P<0.001), 0.070 (P=0.054), and -0.082 (P<0.001), respectively.

The multi-level social capital plays a positive role in enhancing the subjective well-being of rural middle-aged and elderly individuals, and efforts should be made to further improve the social integration of the elderly.