To analyze the pilot policies for long-term care insurance and provide recommendations for optimizing these policies.

Utilizing the PMC index model, we constructed nine primary variable indicators and 45 secondary variable indicators to evaluate long-term care insurance policies.

Common issues across various regions included insufficient policy levels, unclear policy timelines, and inadequate incentive and constraint mechanisms.

It is necessary to elevate policy levels and further enhance the government’s coordination and collaboration, clarify policy timelines to achieve an organic integration of short, medium, and long-term planning, and improve incentive and constraint measures to effectively increase participation in insurance.

To analyze the coupling coordination relationship between the construction achievements of the 39 tight-knit county medical community pilot counties in Guangxi and the regional economic development levels in 2022.

The coupling coordination degree model was used to analyze the coupling coordination degree of the two systems. Moran I index was employed to conduct spatial correlation analysis of the coupling coordination degree.

Among the pilot counties, five counties (12.82%) exhibited a moderate coordination type between the construction achievements and regional economic development levels; 21 counties (53.85%) were in a barely coordinated state; and 13 counties (33.33%) showed moderate disorder.The global Moran I index was 0.542.

The coupling coordination degree of the two systems needs improvement; the achievements of the medical community construction are generally ahead of the regional economic development levels; there are regional disparities in coupling coordination degree, and mutual cooperation among the pilot counties in advancing the medical community construction is weak. It is recommended to strengthen cooperation and communication, promote high-quality regional economic development, and facilitate the rational allocation of quality medical and health resources.

To provide a reference for the expansion and balanced distribution of quality medical resources, thereby promoting maternal and child health.

This study utilized panel data from 31 provinces, cities, and autonomous regions from 2012 to 2021. The Moran I index and Getas-Ord G* index were employed to analyze the spatiotemporal characteristics and hotspot distributions of quality medical resources. The Grossman health production function was used to explore the effects of quality medical resources on maternal and child health.

From 2012 to 2021, the overall quality of medical resources in China showed an upward trend, with the number of tertiary hospitals increasing from 1 624 to 3 275, increasing by 101.66%.The Moran I indices for the years 2012, 2017, and 2021 were 0.292, 0.286, and 0.264, respectively, indicating a declining trend in the spatial autocorrelation of quality medical resources. For every additional tertiary hospital per 10 000 square kilometers, the infant mortality rate decreased by approximately 2.73‰, and the maternal mortality rate decreased by about 0.25 per 100 000.

The overall trend of quality medical resources in China is upward, with the eastern region experiencing the highest increase in quality medical resources, while the western region shows the greatest percentage increase. A significant“East-Central-West” hierarchical differentiation pattern exists, characterized by a spatial clustering distribution, where the eastern region is high, the central region is relatively high, and the western region is low. The effects of quality medical resources on maternal and child health are significant, negatively impacting both infant and maternal mortality rates.

To explore the factors related to cognitive impairment in elderly individuals aged 60 and above in China from the perspective of social determinants of health, providing a reference for the prevention and treatment of cognitive impairment in the elderly.

Utilizing data from the fourth wave of the 2018 China Health and Retirement Longitudinal Study, we conducted a statistical description of the cognitive status of 5 721 elderly individuals aged ≥60. A multifactor logistic regression model was employed to analyze factors affecting cognitive status in the elderly, investigating the impact of the interaction between depression symptoms and disability on cognitive impairment.

Among the participants, 2 277 individuals (39.80%) were identified with cognitive impairment. Risk factors for cognitive impairment included being female (OR=1.702, 95%CI: 1.491 to 1.943), aged ≥80 years (OR=1.862, 95%CI: 1.467 to 2.364), experiencing depression (OR=1.333,95%CI: 1.173 to 1.514), having a disability (OR=2.082, 95%CI: 1.687 to 2.569), sleeping more than 8 hours (OR=1.582,95%CI: 1.288 to 1.944), and residing in central and western regions (OR=1.275, 1.538; 95%CI: 1.109-1.467, 1.337-1.771). There was a multiplicative interaction between depression and disability affecting cognitive status in the elderly (P _interaction=0.005), with no additive interaction observed (RERI=-1.217, 95%CI: -2.480 to 0.046; AP=-0.522, 95%CI: -1.112 to 0.069;S = 0.523, 95%CI: 0.291 to 0.938).

The detection rate of cognitive impairment among elderly individuals in China is concerning. The multiplicative interaction of depression and disability on cognitive status suggests that the government should intervene from the perspective of social determinants of health, implementing multidimensional strategies to achieve an integrated approach to prevention and treatment.

To analyze the multiple mediating effects of different types of social activities on the relationship between health status and cognitive function, providing insights for mitigating cognitive impairment in older adults.

Using data from the 2018 China Health and Retirement Longitudinal Study, 7 991 individuals aged 65 and older were selected to construct a multiple mediation model examining the mediating effects of physical exercise, cultural and recreational activities, interpersonal interactions, and family life on the relationship between self-rated health and cognitive function.

Self-rated health and the four types of social activities were significantly correlated with cognitive function (P < 0.01). Physical exercise, cultural and recreational activities, interpersonal interactions, and family life exhibited partial mediating effects between self-rated health and cognitive function. Specifically, self-rated health directly influenced cognitive function with an effect size of 0.591 (95%CI: 0.471-0.710). Furthermore, self-rated health mediated cognitive function through the four types of social activities. The mediating effect size was 0.010 (95%CI: 0.002-0.018) for physical exercise, 0.083 (95%CI: 0.055-0.113) for recreational activities, 0.061 (95%CI: 0.042-0.080) for interpersonal interactions, and 0.078 (95%CI: 0.054-0.104) for family life.

Self-rated health can delay cognitive decline in older adults by promoting their participation in social activities.

To explore the parallel mediating effects of life satisfaction and parent-child relationship satisfaction on the relationship between daily living activity ability and depression in elderly patients with chronic respiratory diseases, providing references for improving their quality of life.

Data from the China Health and Retirement Longitudinal Study (CHARLS) 2020 were used, involving patients aged 60 and older with chronic respiratory diseases. The PROCESS 4.1 macro was employed to analyze the mediating effects between daily living activity ability and depression, and the bias-corrected nonparametric percentile Bootstrap method was used to validate the mediating variables.

Impaired daily living activity ability was negatively correlated with parent-child relationship satisfaction (r=-0.08, P < 0.01) and life satisfaction (r=-0.16, P <0.001), while positively correlated with depression (r=0.35, P < 0.001). The mediating effect analysis indicated that the total effect value of daily living activity ability on depression was 0.231 (95%CI: 0.600-0.944), with a direct effect value of 0.183(95%CI: 0.451-0.773). Life satisfaction and parent-child relationship satisfaction played parallel mediating roles between daily living activity ability and depression, with mediating effect values of 0.040 (95%CI: 0.018-0.062) and 0.009 (95%CI: 0.002-0.017), respectively. The total mediating effect accounted for 20.78% (95%CI: 0.023-0.074) of the overall effect.

There is a relationship between daily living activity ability and depression in elderly patients with chronic respiratory diseases.Life satisfaction and parent-child relationship satisfaction serve as parallel mediators in this relationship. Focusing on improving daily living activity ability and enhancing life satisfaction and parent-child relationship satisfaction may help alleviate depression in older patients with chronic respiratory diseases.

To verify the relationship between social participation and cognitive decline in the elderly, and to explore the effects of different types of social participation on cognitive decline based on data from the China Health and Retirement Longitudinal Study.

A total of 3 016 individuals aged 60 and above, who were followed across all five waves and did not have Alzheimer’s disease, was selected from the database to construct a balanced panel dataset. A fixed-effects Logit model controlling for individual-level characteristics was established.

The prevalence of cognitive decline among the elderly at baseline was 6.4%, which increased to 30.7% by the fifth wave. The proportion of cognitively declined elderly individuals engaging in social participation was 3.2% to 10.5% lower than those not participating. In the fixed-effects Logit analysis, the odds ratio (OR) was 0.575 (95%CI: 0.502-0.658), indicating an impact magnitude of approximately 40%. Among different types of social participation, social engagement significantly affected cognitive decline, with an OR of 0.640 (95%CI: 0.494-0.828).

The government should implement the concept of active aging, improve participation mechanisms, effectively ensure the rights of the elderly to engage in social participation, and encourage their involvement in social activities.

To assess the association between mood swings and pancreatic cancer using two-sample Mendelian randomization (TSMR) and to identify potential mediators between mood swings and pancreatic cancer through multivariable Mendelian randomization (MVMR).

Summary statistics for mood swings were obtained from genome-wide association studies (GWAS). Summary data for pancreatic cancer were derived from a cross-population atlas of 220 human phenotypic genetic associations. Single nucleotide polymorphism (SNP) associated with body mass index (BMI) and several common risk factors for pancreatic cancer, including smoking, alcohol consumption, triglycerides, and total cholesterol, were sourced from the UK Biobank and the IEU database. Causal relationships between mood swings and pancreatic cancer were explored using inverse variance weighting (IVW), MR-Egger, weighted median, simple mode, and weighted mode methods. A series of sensitivity analyses were conducted to evaluate the stability of the results.

Genetically predicted mood swings were positively associated with pancreatic cancer risk, with the IVW method indicating that individuals with genetically determined mood swings had an increased risk of developing pancreatic cancer (OR=2.05, 95%CI: 1.21-3.48). After adjusting for BMI using MVMR, the association between mood swings and pancreatic cancer was attenuated (OR=1.45, 95%CI: 0.94-2.23). Mediation analysis estimated that BMI partially mediated the causal relationship between mood swings and pancreatic cancer risk, with a mediation proportion of 48.2%.

The findings of this study indicate a positive correlation between mood swings and the risk of pancreatic cancer, potentially mediated by effects on BMI.

Self-perceptions of aging (SPA) are a critical issue in the mental health of middle-aged and older adults, yet the complex relationship with obesity remains insufficiently explored. This study analyzes the impact of obesity on SPA among this demographic.

Utilizing longitudinal follow-up data from the Health and Retirement Study (HRS) in the United States, logistic regression was employed to examine the relationship between Body Mass Index (BMI) and SPA, while restricted cubic splines (RCS) were used to reveal potential nonlinear associations.

After adjusting for baseline age, gender, race, education level, marital status, number of chronic diseases, depressive symptoms, functional limitations, and baseline SPA levels, grade 2/3 obesity was associated with negative SPA (OR=1.50, 95%CI: 1.08-2.07), and a significant nonlinear relationship between BMI and SPA was observed (P-overall < 0.001, P-nonlinear = 0.042). Subgroup analysis indicated that among individuals under 80 years old, females, those with a high school education or lower, Caucasians, individuals with depressive symptoms, and those without functional limitations, grade 2/3 obesity was positively correlated with negative SPA.

Obesity in middle-aged and older adults is related to negative SPA. Healthcare professionals should pay attention to the potential psychological impacts of obesity during the aging process and develop more targeted prevention and intervention strategies to assist obese individuals in improving their mental health as they age.

To establish a QuEChERS-UHPLC-MS/MS method for the determination of residues of 45 antibiotics in eggs.

Samples were extracted using a 90% acetonitrile aqueous solution (containing 0.1% formic acid), and the supernatant was transferred to a QuEChERS tube (150 mg HLB-P + 50 mg PSA) for purification. The purified extract was concentrated to near dryness under nitrogen, and then reconstituted with 10% methanol aqueous solution (containing 0.1% formic acid). Target compounds were separated using a BEH C18 column (2.1×100 mm, 1.7 μm) with a gradient elution of 0.1% formic acid in water and 0.1% formic acid in methanol as the mobile phase. Detection was performed in positive ion multiple reaction monitoring mode, and quantification was achieved using matrix-matched calibration curves.

Over the concentration range of 1.0 to 200 μg/L, all 45 target analytes exhibited good linear relationships in their regression equations. The method’s limit of detection was 1.0 μg/kg, with spiked recoveries ranging from 69.2% to 109.6% and relative standard deviations (RSD) between 1.2% and 15.8%.

This method is simple, rapid, and exhibits high accuracy and precision, making it suitable for the simultaneous detection of 45 antibiotics in eggs.